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+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"mount_file_id":"1ZaJOaMglCeWxOWPLj1PVqvwKGQuCNHV0","authorship_tag":"ABX9TyN3Pqz1vfaeunbkJU6So3kQ"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt   # Visualization\n","import seaborn as sns             # Visualization\n","import re\n","%matplotlib inline\n","sns.set(color_codes=True)"],"metadata":{"id":"EW7Uuq0xVvxg","executionInfo":{"status":"ok","timestamp":1723483665185,"user_tz":420,"elapsed":20696,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":1,"outputs":[]},{"cell_type":"code","execution_count":2,"metadata":{"id":"Tms0Dd-8VFsV","executionInfo":{"status":"ok","timestamp":1723483703569,"user_tz":420,"elapsed":690,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"outputs":[],"source":["eviction_df = pd.read_csv(\"/content/Eviction_Data.csv\")"]},{"cell_type":"markdown","source":["### Data Review\n"],"metadata":{"id":"F_uBx4AxFYdb"}},{"cell_type":"markdown","source":["The eviction data set was extracted from the LA Controller's Website. The dataset consists of eviction records from Feb 2023 to Dec 2023"],"metadata":{"id":"vzOI2XP3oZ0B"}},{"cell_type":"code","source":["eviction_df.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rrqPPCW_oMQY","executionInfo":{"status":"ok","timestamp":1723483727878,"user_tz":420,"elapsed":205,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"4e009e86-b515-426d-f835-b9fffe4006d6"},"execution_count":3,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(77091, 12)"]},"metadata":{},"execution_count":3}]},{"cell_type":"code","source":["eviction_df.dtypes"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":460},"id":"lRaZ9sPAMG6L","executionInfo":{"status":"ok","timestamp":1723483728995,"user_tz":420,"elapsed":6,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"8df2812b-0d41-4201-a827-c4a9083a13a5"},"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Notice Date           object\n","Date Received         object\n","Eviction Category     object\n","Cause                 object\n","Address               object\n","City                  object\n","Zip                    int64\n","Bedroom              float64\n","Notice Type           object\n","Apn                    int64\n","Council District       int64\n","Rent Owed             object\n","dtype: object"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Notice Date</th>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th>Date Received</th>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th>Eviction Category</th>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th>Cause</th>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th>Address</th>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th>City</th>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th>Zip</th>\n","      <td>int64</td>\n","    </tr>\n","    <tr>\n","      <th>Bedroom</th>\n","      <td>float64</td>\n","    </tr>\n","    <tr>\n","      <th>Notice Type</th>\n","      <td>object</td>\n","    </tr>\n","    <tr>\n","      <th>Apn</th>\n","      <td>int64</td>\n","    </tr>\n","    <tr>\n","      <th>Council District</th>\n","      <td>int64</td>\n","    </tr>\n","    <tr>\n","      <th>Rent Owed</th>\n","      <td>object</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> object</label>"]},"metadata":{},"execution_count":4}]},{"cell_type":"code","source":["eviction_df.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"p_ghqcAyMLC1","executionInfo":{"status":"ok","timestamp":1723483730955,"user_tz":420,"elapsed":301,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"c50554ca-8670-4700-e054-3063bdad9bd8"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 77091 entries, 0 to 77090\n","Data columns (total 12 columns):\n"," #   Column             Non-Null Count  Dtype  \n","---  ------             --------------  -----  \n"," 0   Notice Date        77085 non-null  object \n"," 1   Date Received      77091 non-null  object \n"," 2   Eviction Category  77091 non-null  object \n"," 3   Cause              77089 non-null  object \n"," 4   Address            77091 non-null  object \n"," 5   City               77091 non-null  object \n"," 6   Zip                77091 non-null  int64  \n"," 7   Bedroom            65224 non-null  float64\n"," 8   Notice Type        77091 non-null  object \n"," 9   Apn                77091 non-null  int64  \n"," 10  Council District   77091 non-null  int64  \n"," 11  Rent Owed          77091 non-null  object \n","dtypes: float64(1), int64(3), object(8)\n","memory usage: 7.1+ MB\n"]}]},{"cell_type":"markdown","source":["The data set comprises of 12 attributes and 77,091 values. We need to change the data types of a few columns to make them more legible and easier for further calculations."],"metadata":{"id":"1fBelWfwoRmV"}},{"cell_type":"code","source":["# To display the top 5 rows\n","eviction_df.head(5)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":417},"id":"4_MIGFqNYwz9","executionInfo":{"status":"ok","timestamp":1723483732951,"user_tz":420,"elapsed":470,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"905da13a-ef8e-4134-ef7a-026d2d2faefe"},"execution_count":6,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  Notice Date Date Received Eviction Category                Cause  \\\n","0    2/3/2023      2/3/2023          At-Fault  Non-payment of rent   \n","1    2/3/2023      2/3/2023          At-Fault  Non-payment of rent   \n","2    2/3/2023      2/3/2023          At-Fault  Non-payment of rent   \n","3    2/3/2023      2/3/2023          At-Fault  Non-payment of rent   \n","4    2/3/2023      2/3/2023          At-Fault  Non-payment of rent   \n","\n","               Address         City    Zip  Bedroom Notice Type         Apn  \\\n","0  7367 Hollywood Blvd  Los Angeles  90046      NaN       3 Day  5550001030   \n","1  7367 Hollywood Blvd  Los Angeles  90046      NaN       3 Day  5550001030   \n","2  7367 Hollywood Blvd  Los Angeles  90046      NaN       3 Day  5550001030   \n","3  7367 Hollywood Blvd  Los Angeles  90046      NaN       3 Day  5550001030   \n","4  7367 Hollywood Blvd  Los Angeles  90046      NaN       3 Day  5550001030   \n","\n","   Council District  Rent Owed  \n","0                 4  $1,850.00  \n","1                 4  $1,866.78  \n","2                 4  $1,800.00  \n","3                 4  $1,500.00  \n","4                 4  $1,742.97  "],"text/html":["\n","  <div id=\"df-8cfd8c2e-f9bc-46bd-bb09-f124e2293cd1\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        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\"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"No-Fault\",\n          \"At-Fault\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Cause\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 116,\n        \"samples\": [\n          \"Violation of the rental agreement or lease, Damage to the rental unit, Disorderly behavior/disturbing the peace (Nuisance), Refuse access to the apartment when requested in accordance with law, Unapproved subtenant at the end of the lease/tenancy, Criminal activity\",\n          \"Non-payment of rent, Unapproved subtenant at the end of the lease/tenancy\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Address\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 17575,\n        \"samples\": [\n          \"9404 S FIGUEROA ST\",\n          \"1131 E WASHINGTON BLVD\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"City\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 127,\n        \"samples\": [\n          \"Lake Balboa\",\n          \"WOODLAND HILLS\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Zip\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 624,\n        \"min\": 90001,\n        \"max\": 93063,\n        \"num_unique_values\": 119,\n        \"samples\": [\n          90056,\n          91311\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Bedroom\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11.872663576792577,\n        \"min\": 0.0,\n        \"max\": 3014.0,\n        \"num_unique_values\": 17,\n        \"samples\": [\n          3.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Notice Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"3 Day\",\n          \"30 Day\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Apn\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1399520398,\n        \"min\": 2004015009,\n        \"max\": 7563035007,\n        \"num_unique_values\": 12040,\n        \"samples\": [\n          4005005001,\n          5092029045\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Council District\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 1,\n        \"max\": 99,\n        \"num_unique_values\": 16,\n        \"samples\": [\n          4,\n          13\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rent Owed\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 22234,\n        \"samples\": [\n          \"$2,363.80\",\n          \"$293.05\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":6}]},{"cell_type":"code","source":["# Finding out the null values in the data set\n","print(eviction_df.isnull().sum())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"albffHth1kWz","executionInfo":{"status":"ok","timestamp":1723483734639,"user_tz":420,"elapsed":191,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"b6f83cfe-c868-4930-fe6d-a135e2ff3341"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["Notice Date              6\n","Date Received            0\n","Eviction Category        0\n","Cause                    2\n","Address                  0\n","City                     0\n","Zip                      0\n","Bedroom              11867\n","Notice Type              0\n","Apn                      0\n","Council District         0\n","Rent Owed                0\n","dtype: int64\n"]}]},{"cell_type":"markdown","source":["We observe that the majority of Nan values (around 11867) are present in the Bedroom column."],"metadata":{"id":"ajj8UgYiLnSa"}},{"cell_type":"code","source":["# Unique bedroom values\n","num_unique_values = len(eviction_df['Bedroom'].unique())\n","num_unique_values           # 18 values\n","eviction_df['Bedroom'].unique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yr8AkmnoMy1z","executionInfo":{"status":"ok","timestamp":1723483736833,"user_tz":420,"elapsed":5,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"d5925f22-ecfc-4079-d8bc-cef647c94718"},"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([      nan, 3.000e+00, 1.000e+00, 0.000e+00, 2.000e+00, 4.000e+00,\n","       5.000e+00, 8.000e+00, 7.000e+00, 6.000e+00, 1.440e+02, 1.040e+02,\n","       9.000e+00, 1.000e+01, 1.200e+02, 3.014e+03, 1.100e+01, 1.130e+02])"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["df = eviction_df\n","df[df['Bedroom'] > 4].shape[0]       # 488 values where bedroom > 4 ==> outliers"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RvOlK2WR1nuP","executionInfo":{"status":"ok","timestamp":1723483737430,"user_tz":420,"elapsed":3,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"23042c9d-1fe8-4dc8-ae35-1c6a5eb3cba1"},"execution_count":9,"outputs":[{"output_type":"execute_result","data":{"text/plain":["488"]},"metadata":{},"execution_count":9}]},{"cell_type":"code","source":["df[df['Bedroom'] > 4]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":895},"id":"W41vPrwc9zkI","executionInfo":{"status":"ok","timestamp":1723483738729,"user_tz":420,"elapsed":249,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"10cf3ab2-7852-428e-8e84-fd3ba5b186b2"},"execution_count":10,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Notice Date Date Received Eviction Category  \\\n","3616    2/13/2023     2/23/2023          At-Fault   \n","3821    2/13/2023     2/23/2023          At-Fault   \n","4012    2/26/2023     2/26/2023          At-Fault   \n","4114    2/28/2023     2/28/2023          At-Fault   \n","5277     3/1/2023      3/6/2023          At-Fault   \n","...           ...           ...               ...   \n","76813  12/26/2023    12/27/2023          At-Fault   \n","76856  12/22/2023    12/28/2023          At-Fault   \n","76857  12/22/2023    12/28/2023          At-Fault   \n","76864  12/28/2023    12/28/2023          At-Fault   \n","76870  12/22/2023    12/28/2023          At-Fault   \n","\n","                                                Cause                 Address  \\\n","3616       Violation of the rental agreement or lease          17805 Erwin St   \n","3821                              Non-payment of rent          17805 Erwin St   \n","4012                              Non-payment of rent        4202 Woodman Ave   \n","4114   Non-payment of rent, Damage to the rental unit     9027 Wonderland Ave   \n","5277                              Non-payment of rent       907 Las Pulgas Rd   \n","...                                               ...                     ...   \n","76813                             Non-payment of rent     11840 N CHIVERS AVE   \n","76856                             Non-payment of rent           156 W 71ST ST   \n","76857                             Non-payment of rent           642 E 55TH ST   \n","76864                             Non-payment of rent  11716 N MANCHESTER WAY   \n","76870                             Non-payment of rent          1326 W 83RD PL   \n","\n","               City    Zip  Bedroom Notice Type         Apn  Council District  \\\n","3616    Los Angeles  91316      5.0       3 Day  2123021065                 4   \n","3821    Los Angeles  91316      5.0       3 Day  2123021065                 4   \n","4012   Sherman Oaks  91423      5.0       3 Day  2373013022                 4   \n","4114    Los Angeles  90046      5.0       3 Day  5564030003                 4   \n","5277    Los Angeles  90272      5.0       3 Day  4420011016                11   \n","...             ...    ...      ...         ...         ...               ...   \n","76813       PACOIMA  91331      5.0       3 Day  2527002006                 7   \n","76856   Los Angeles  90003      5.0       3 Day  6012013016                 9   \n","76857   Los Angeles  90011      5.0       3 Day  5103012007                 9   \n","76864   Los Angeles  91326      5.0       3 Day  2701090005                12   \n","76870   Los Angeles  90044      5.0       3 Day  6033004021                 8   \n","\n","         Rent Owed  \n","3616         $0.00  \n","3821    $21,300.00  \n","4012     $8,000.00  \n","4114    $45,416.74  \n","5277   $107,800.00  \n","...            ...  \n","76813    $3,986.00  \n","76856    $3,059.00  \n","76857    $8,850.00  \n","76864   $11,000.00  \n","76870    $8,223.00  \n","\n","[488 rows x 12 columns]"],"text/html":["\n","  <div id=\"df-6ecd33b2-d7a8-4f94-bcf3-5f822710a186\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Notice Date</th>\n","      <th>Date Received</th>\n","      <th>Eviction Category</th>\n","      <th>Cause</th>\n","      <th>Address</th>\n","      <th>City</th>\n","      <th>Zip</th>\n","      <th>Bedroom</th>\n","      <th>Notice Type</th>\n","      <th>Apn</th>\n","      <th>Council District</th>\n","      <th>Rent Owed</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3616</th>\n","      <td>2/13/2023</td>\n","      <td>2/23/2023</td>\n","      <td>At-Fault</td>\n","      <td>Violation of the rental agreement or lease</td>\n","      <td>17805 Erwin St</td>\n","      <td>Los Angeles</td>\n","      <td>91316</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>2123021065</td>\n","      <td>4</td>\n","      <td>$0.00</td>\n","    </tr>\n","    <tr>\n","      <th>3821</th>\n","      <td>2/13/2023</td>\n","      <td>2/23/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>17805 Erwin St</td>\n","      <td>Los Angeles</td>\n","      <td>91316</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>2123021065</td>\n","      <td>4</td>\n","      <td>$21,300.00</td>\n","    </tr>\n","    <tr>\n","      <th>4012</th>\n","      <td>2/26/2023</td>\n","      <td>2/26/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>4202 Woodman Ave</td>\n","      <td>Sherman Oaks</td>\n","      <td>91423</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>2373013022</td>\n","      <td>4</td>\n","      <td>$8,000.00</td>\n","    </tr>\n","    <tr>\n","      <th>4114</th>\n","      <td>2/28/2023</td>\n","      <td>2/28/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent, Damage to the rental unit</td>\n","      <td>9027 Wonderland Ave</td>\n","      <td>Los Angeles</td>\n","      <td>90046</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>5564030003</td>\n","      <td>4</td>\n","      <td>$45,416.74</td>\n","    </tr>\n","    <tr>\n","      <th>5277</th>\n","      <td>3/1/2023</td>\n","      <td>3/6/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>907 Las Pulgas Rd</td>\n","      <td>Los Angeles</td>\n","      <td>90272</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>4420011016</td>\n","      <td>11</td>\n","      <td>$107,800.00</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>76813</th>\n","      <td>12/26/2023</td>\n","      <td>12/27/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>11840 N CHIVERS AVE</td>\n","      <td>PACOIMA</td>\n","      <td>91331</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>2527002006</td>\n","      <td>7</td>\n","      <td>$3,986.00</td>\n","    </tr>\n","    <tr>\n","      <th>76856</th>\n","      <td>12/22/2023</td>\n","      <td>12/28/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>156 W 71ST ST</td>\n","      <td>Los Angeles</td>\n","      <td>90003</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>6012013016</td>\n","      <td>9</td>\n","      <td>$3,059.00</td>\n","    </tr>\n","    <tr>\n","      <th>76857</th>\n","      <td>12/22/2023</td>\n","      <td>12/28/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>642 E 55TH ST</td>\n","      <td>Los Angeles</td>\n","      <td>90011</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>5103012007</td>\n","      <td>9</td>\n","      <td>$8,850.00</td>\n","    </tr>\n","    <tr>\n","      <th>76864</th>\n","      <td>12/28/2023</td>\n","      <td>12/28/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>11716 N MANCHESTER WAY</td>\n","      <td>Los Angeles</td>\n","      <td>91326</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>2701090005</td>\n","      <td>12</td>\n","      <td>$11,000.00</td>\n","    </tr>\n","    <tr>\n","      <th>76870</th>\n","      <td>12/22/2023</td>\n","      <td>12/28/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>1326 W 83RD PL</td>\n","      <td>Los Angeles</td>\n","      <td>90044</td>\n","      <td>5.0</td>\n","      <td>3 Day</td>\n","      <td>6033004021</td>\n","      <td>8</td>\n","      <td>$8,223.00</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>488 rows × 12 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6ecd33b2-d7a8-4f94-bcf3-5f822710a186')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    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df.dropna(subset=['Bedroom'])"],"metadata":{"id":"RvHD6e-95rNi","executionInfo":{"status":"ok","timestamp":1723483743414,"user_tz":420,"elapsed":195,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["temp_df.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HYMT60PsP1qX","executionInfo":{"status":"ok","timestamp":1723483744656,"user_tz":420,"elapsed":181,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"454ae41a-b807-48bd-9ed7-7bdd9db031db"},"execution_count":13,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(65224, 12)"]},"metadata":{},"execution_count":13}]},{"cell_type":"code","source":["# Removing the outliers - 488\n","threshold = 4\n","temp_df2 = temp_df\n","temp_df2 = temp_df2[temp_df2['Bedroom'] <= threshold]\n","temp_df2.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xU40PAfgKdnS","executionInfo":{"status":"ok","timestamp":1723483749664,"user_tz":420,"elapsed":221,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"8874fb6c-a17c-4418-9c3a-6c000f3705da"},"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(64736, 12)"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","source":["# convert float to integer\n","temp_df2['Bedroom'] = temp_df2['Bedroom'].astype(int)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"abgZCAaHdJCf","executionInfo":{"status":"ok","timestamp":1723483753156,"user_tz":420,"elapsed":9,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"98a51a6c-c6a5-47ab-b05c-8e857cc67645"},"execution_count":15,"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-15-eadfefbd2790>:2: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  temp_df2['Bedroom'] = temp_df2['Bedroom'].astype(int)\n"]}]},{"cell_type":"markdown","source":["### Exploratory Data Analysis (EDA)"],"metadata":{"id":"kGw5C23YO9ga"}},{"cell_type":"code","source":["#Plot histogram to check for distribution\n","plt.hist(temp_df2['Bedroom'], bins = 15, color='skyblue', edgecolor='black')\n","                            #alpha=0.7, rwidth=0.85)\n","plt.xticks(np.arange(0,5, step = 1))\n","plt.grid(axis='y', alpha=0.75)\n","plt.xlabel('Bedrooms')\n","plt.ylabel('Frequency')\n","plt.title('Histogram of Number of Bedrooms')\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":480},"id":"oaAiIgwWKkrY","executionInfo":{"status":"ok","timestamp":1723483758374,"user_tz":420,"elapsed":510,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"907d516b-34f5-4e21-ed00-fc715a4a23da"},"execution_count":16,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAlgAAAHPCAYAAACP7aS6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABONklEQVR4nO3de1xVVf7/8fcBPSjpQTGz8gpMIF64WIoI4V0TVMoyc5IsSdFKw7Ikv+ZPZ0ydxrybVzTNblZ2cVKzzGQip5s2ZpqaIKmT2kCCBAjC/v3hgzOeDibKRjj4ej4ePpS1P2ettfcGfLP3OhuLYRiGAAAAYBq3qp4AAABATUPAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACTNSjRw8lJSVV9TRqvJUrV6pnz54KDAxUbGxsVU/niixcuFABAQHKysqq6qmUy549e3TfffcpJCREAQEB2r9/f1VPSZIUFxenuLi4qp4G4ISABVzEhg0bFBAQoO+++67M7XFxcerfv3+Fx9mxY4cWLlxY4X6uFZ999pn+/ve/q0OHDpo5c6aeeOKJi9YmJSUpICBAAwYMUFm/FSwgIEB/+ctfKnO6NUJRUZESExN1+vRpPfPMM3r++ed18803l1n7xRdfKCAgwOFPp06ddO+99+r999+/yjMHqk6tqp4AUJNs2bJFFovlsl6zY8cOvfLKKxo7dmwlzapm+de//iU3Nzc999xzslqt5XrNwYMHtXXrVvXt27eSZ1cz/fTTTzp+/LimT5+uwYMHl+s1cXFxat++vSTp9OnT2rx5s5566imdOXNG999/f2VOF6gWuIIFmMhqtap27dpVPY3LkpeXV9VTuCyZmZmqU6dOucNVnTp11KpVKy1evLjMq1g1XX5+foX7KL2NWb9+/XK/5rbbblNsbKxiY2M1fPhwrV27Vk2aNNHGjRsrPJ/LdfbsWZWUlFz1cXFtI2ABJvr9GqyioiItWrRIffr0Ufv27RUWFqahQ4cqNTVV0vlbWK+88ookOdxSKZWXl6dZs2apa9euateunfr27avk5GSnoFBQUKDp06crLCxMoaGhGj16tE6ePKmAgACH24+l635+/PFHPfnkk+rYsaP+/Oc/S5J++OEHJSUlqWfPnmrfvr0iIiL0zDPP6Ndff3UYq7SP9PR0TZgwQbfeeqs6d+6sefPmyTAM/fzzzxozZow6dOigiIgIrVq1qlzH7ty5c1q8eLF69eqldu3aqUePHpozZ44KCwvtNQEBAdqwYYPy8vLsx2rDhg1/2K+bm5vGjBmjAwcO6KOPPvrD2tLbwseOHXNoL73t9cUXX9jbSm8R//DDDxo2bJiCg4PVu3dvbdmyRZL05ZdfavDgwQoKClLfvn31+eeflznmr7/+qscff1wdOnRQWFiYpk+frrNnzzrVvffeexo0aJCCgoLUqVMnjR8/Xj///LNDTemc9u7dq/vvv1/BwcGaM2fOH+7zzp079ec//1khISG67bbbNGbMGB0+fNi+PSkpScOGDZMkPf744woICLiiNU9Wq1VeXl6qVcv5xkl59k2S3njjDfXq1UtBQUG655579PXXXzvVlJ6rDz74QHPnztXtt9+u4OBg5ebmSpI2b95sHyssLEwTJkzQyZMnL/u4SOZ8Lbz88suKiYlRcHCwOnbsqEGDBlVJCIX5uEUIXEJubm6ZC5GLioou+dpFixZp2bJl9v9oc3NztXfvXn3//feKiIjQkCFDdOrUKaWmpur55593eK1hGBozZoy++OIL3XPPPQoMDNQ///lPPf/88zp58qQmTZpkr01KStLmzZsVGxur4OBgffXVVxo1atRF5/X444+rZcuWGj9+vD2sff755zp69KgGDRqkxo0b69ChQ1q/fr1+/PFHrV+/3unW5/jx4+Xn56cnn3xSO3bs0JIlS9SgQQO9/vrr6ty5syZMmKCNGzfqb3/7m9q3b6+OHTv+4bGaPHmy3nnnHfXt21cPPfSQ9uzZo2XLlunw4cNavHixJOn555/X+vXrtWfPHk2fPl2S1KFDh0uehwEDBmjJkiVavHixevfufdm3cS8mOztbo0ePVnR0tO644w699tpreuKJJ1RSUqIZM2bovvvuU//+/ZWcnKxx48bp008/Vb169Rz6SExMVNOmTfXkk0/q22+/1csvv6ycnByHz4clS5Zo/vz56tevn+655x5lZWVp3bp1uv/++/Xuu+/KZrPZa0+fPq2RI0cqJiZGAwcOVKNGjS46/88//1wjR45Us2bN9Nhjj6mgoEDr1q3T0KFDtWHDBjVr1kxDhgxRkyZNtHTpUvttv+uvv/6Sx+a3336zf91kZ2frH//4hw4ePKjnnnvOoa68+/bmm29qypQpCg0N1fDhw3X06FGNGTNGXl5euummm5zGf/HFF1W7dm3Fx8ersLBQtWvX1oYNG/TMM8+offv2euKJJ5SZmam1a9dq165dDmOV57hc6Eq/FtavX6/p06erb9++euCBB3T27FkdOHBA//73vzVgwIBLHmNUcwaAMr399tuGv7//H/6JiYlxeE337t2NiRMn2j8eOHCgMWrUqD8cZ9q0aYa/v79T+0cffWT4+/sbL774okP72LFjjYCAACMjI8MwDMPYu3ev4e/vbzz33HMOdUlJSYa/v7+xYMECe9uCBQsMf39/44knnnAaLz8/36ntH//4h+Hv72989dVXTn08++yz9rZz584ZUVFRRkBAgLFs2TJ7e3Z2thEUFORwTMqyf/9+w9/f3/i///s/h/ZZs2YZ/v7+xs6dO+1tEydONEJCQv6wv7Jq33nnHcPf39/YunWrfbu/v78xbdo0+8el5/zo0aMO/fzrX/8y/P39jX/961/2tmHDhhn+/v7Gxo0b7W2HDx82/P39jdatWxvffvutvf2f//yn4e/vb7z99tv2ttLjOHr0aIexpk6davj7+xv79+83DMMwjh07ZgQGBhpLlixxqDtw4IDRpk0bh/bSOb322mvlOj6xsbFGeHi48euvv9rb9u/fb7Ru3dp4+umnnfZ/8+bNl+yztPb3f1q3bu20D+Xdt8LCQiM8PNyIjY01zp49a6974403DH9/f2PYsGFO4/fs2dPhc7q0j/79+xsFBQX29u3btxv+/v7G/PnzL/u4VPRrYcyYMU7fQ1BzcIsQuIQpU6Zo9erVTn8uvJV3MTabTYcOHdKRI0cue9yUlBS5u7s73Y4ZMWKEDMNQSkqKJOmf//ynJNlv9ZUqva1Tlvvuu8+prU6dOvZ/nz17VllZWQoODpYkff/9907199xzj/3f7u7uateunQzDcGi32Wzy8fHR0aNHLzoX6fxCf0l66KGHHNpHjBjhsL0iBgwYYPpaLE9PT8XExNg/9vX1lc1mk5+fn/3YSbL/u6zj8PsF36XnrfT8fvTRRyopKVG/fv2UlZVl/3P99derZcuWDrctpfO34gYNGnTJuZ86dUr79+/XXXfdpQYNGtjbW7durS5dulT4mD/66KP2r5W5c+cqJiZGc+fO1Zo1a+w15d23vXv3KjMzU/fdd5/D2ru77rrrouvC7rzzTofP6dI+hg4dKg8PD3t7t27d5Ovrq08//fSKj8uVfi3YbDadOHFCe/bsudThhAviFiFwCUFBQfZ3Q13Iy8vLaX3S740bN06PPPKI+vbtK39/f0VGRio2NlatW7e+5LjHjx/XDTfc4HRLyc/Pz75dkv7zn//Izc3N6bZFy5YtL9r372ul87eWFi1apE2bNikzM9Nh25kzZ5zqf/82/fr168vDw0Pe3t5O7adPn77oXEr3xc3NTS1atHBob9y4sWw2m31fK8Ld3V1jxozRxIkT9fHHH6t3794V7vPGG290ut1Yv3593XjjjU5tkpSTk+PUx+/PU4sWLeTm5mZfB3bkyBEZhqE+ffqUOYffr2lq0qRJud4A8J///EeS5OPj47TNz89Pn332mfLy8uTp6XnJvsri7++vLl262D+Ojo5Wbm6uXnjhBQ0YMEDe3t7l3rfSuf7+WNWuXVvNmzcv87W//xz/o/319fXVN998c8m6ix2XK/1aGDlypD7//HMNHjxYLVu2VEREhPr3769bb721zH2CayFgAZWoY8eO+uijj7Rt2zalpqbqrbfe0po1azRt2rRyv929Mlz4E3ypxMRE7d69W/Hx8QoMDJSnp6dKSkr08MMPl3nFx83N+QK4u7t7meOV94qRWWujLmbAgAF68cUX7Yvpyzv+xd6BdrH9rchx+P0cSkpKZLFYtGLFijL7/X0AuvCqTXXTuXNnbd++XXv27FG3bt0ue98ux9U8Dlf6teDn56ctW7bo008/1T//+U9t3bpVr776qh599FGNGzeu0uaLq4OABVSyBg0a6O6779bdd9+t3377TcOGDdPChQvtAeti/6k3bdpUO3fuVG5ursNVrLS0NPt26fxPzyUlJTp27JhatWplr8vIyCj3HLOzs7Vz506NHTtWjz32mL39Sm5tXommTZuqpKREGRkZ9it0kvTf//5XOTk59n2tqNKrWElJSdq2bZvT9tJFzr+/YmfGFbSLycjIcLgKk5GRoZKSEvsVmBYtWsgwDDVr1qzMqypXqvSqS3p6utO2tLQ0NWzYsEIBpyzFxcWS/vdokPLuW+lcMzIyFB4ebm8vKirSsWPHynVF+ML9vbCP0rbS7Vf7uHh6eio6OlrR0dEqLCzU2LFjtXTpUiUkJJT5gxBcB2uwgEr0+1uI1113nVq0aOHw6IG6detKcr59FBUVpeLiYvtjHEq99NJLslgsioqKkiRFRkZKkl599VWHunXr1pV7nhf7afvC9TKVqWvXrmWOt3r1aoftZhg4cKBatmypRYsWOW0rvUX51Vdf2duKi4u1fv1608b/vd+f39LzVnp++/TpI3d3dy1atMjpCphhGJe8TX0xN9xwgwIDA/Xuu+86fO4dPHhQqampph7zUqXrnErXL5Z339q1aydvb2+9/vrrDl8777zzTpm3XcvSrl07NWrUyKmPHTt26PDhw+rWrZukq3tcfn/urFar/Pz8ZBhGud6ljOqNK1hAJYqJiVGnTp3Utm1bNWjQQN99950+/PBDhwXobdu2lSRNnz5dkZGRcnd3V0xMjHr06KGwsDDNnTtXx48fV0BAgFJTU7Vt2zYNHz7cHgZKn4+1Zs0anT592v6YhtKrT+W57VavXj117NhRK1euVFFRkZo0aaLU1FSn50FVltatW+uuu+7SG2+8oZycHHXs2FHfffed3nnnHfXq1UudO3c2bSx3d3eNHj1azzzzjNO2W265RSEhIZozZ46ys7Pl5eWlTZs26dy5c6aN/3vHjh3T6NGjdfvtt+vbb7/V+++/r/79+9uvyrRo0UKJiYl64YUXdPz4cfXq1UvXXXedjh07po8//lj33nuv4uPjr2jsp59+WiNHjtSQIUN0zz332B9HUL9+fYcrmVfi66+/tj/PKzs7W5988om+/PJLxcTE2K9SlnffateurcTERE2ZMkXDhw9XdHS0jh07pg0bNlx0Ddbv1a5dWxMmTNAzzzyjYcOGKSYmxv6YhqZNm+rBBx+8KsflQvHx8br++uvVoUMHNWrUSGlpaVq3bp26du3qtPYSroeABVSiuLg4ffLJJ0pNTVVhYaFuvvlmJSYmOvyH2KdPH8XFxemDDz7Q+++/L8MwFBMTIzc3Ny1ZskQLFizQpk2btGHDBjVt2lRPP/20/d11pf72t7/p+uuv1wcffKCPPvpIXbp00dy5c3XHHXeU+4nnL7zwgv7617/q1VdflWEYioiI0IoVK3T77bebekwuZvr06WrWrJneeecdffzxx7r++uuVkJBg6n9opQYOHKglS5bop59+cto2e/ZsTZkyRcuXL5fNZtM999yjsLAwp3c4mmXevHmaP3++XnjhBdWqVUvDhg3T008/7VAzatQotWrVSi+99JL9mWA33nijIiIi1KNHjyseu0uXLlq5cqUWLFigBQsWqFatWurYsaOeeuqpcgeXi3n55Zft/y5djD5+/HinMFjefRsyZIiKi4uVnJys559/Xv7+/vZnaJXXoEGDVKdOHa1YsUKzZ8+Wp6enevXqpaeeesrhWWKVeVwuNGTIEG3cuFGrV69WXl6ebrzxRsXFxemRRx4xbQxUHYth1vuVAVQr+/fv15133qm///3vGjhwYFVPBwCuKazBAmqAgoICp7Y1a9bIzc3tkk9QBwCYj1uEQA2wcuVK7d27V507d5a7u7tSUlKUkpKiIUOGlPlrRAAAlYtbhEANkJqaqkWLFunw4cPKy8vTTTfdpNjYWI0ePbrMX64LAKhcBCwAAACTsQYLAADAZAQsAAAAkxGwAAAATMbq1ypkGIZKSsxfAufmZqmUfnH1cA5dH+fQ9XEOXVtlnT83N0u5fkMGAasKlZQYysr6zdQ+a9VyU8OG1yknJ0/nzpWY2jeuDs6h6+Mcuj7OoWurzPPn7X2d3N0vHbC4RQgAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJalX1BABXduzYUWVlZZrap7u7m2y2usrJyVdxcUmZNd7ejdSsWXNTxwUAmIeABVyhY8eOqktERxXk5131sevU9dTnqV8RsgCgmiJgAVcoKytTBfl5unf6Et3gc8tVG/dU+iGtnzxGWVmZBCwAqKYIWEAF3eBzi5oGBlf1NAAA1QiL3AEAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATFatAtbmzZs1ZswYRUVFKSQkRLGxsXrrrbdkGIa9Ji4uTgEBAU5/Dh8+7NDXmTNnNGnSJHXq1EmhoaEaN26cTp065TTmrl27NGTIEAUFBal79+5avny5w3iSZBiGli9frm7duikoKEhDhgzRt99+WynHAAAAuL5aVT2BC7300ktq2rSpkpKS1LBhQ33++ed69tlndeLECT322GP2ug4dOmjixIkOr23WrJnDx4mJifrxxx81depUeXh4aN68eRo5cqTefvtt1ap1frczMjIUHx+viIgIJSYm6sCBA5o9e7bc3d0VHx9v72vFihVasGCBJkyYoICAAL3yyisaMWKE3nvvPTVv3rwSjwgAAHBF1SpgLVmyRN7e3vaPw8PDdfr0aa1evVqPPPKI3NzOX3Cz2WwKCQm5aD+7d+/WZ599puTkZEVGRkqSfHx8FB0dra1btyo6OlqSlJycrIYNG2rOnDmyWq0KDw9XVlaWli5dqri4OFmtVp09e1bLli3TiBEj9OCDD0qSbr31Vt1xxx1KTk7W1KlTK+VYAAAA11WtbhFeGK5KBQYGKjc3V3l5eeXuJyUlRTabTREREfY2X19fBQYGKiUlxaGuZ8+eslqt9rbo6Gjl5ORo9+7dks7fQszNzVW/fv3sNVarVb1793boCwAAoFS1uoJVlm+++UZNmjRRvXr17G1ffvmlQkJCVFxcrODgYD3++OPq2LGjfXtaWpp8fHxksVgc+vL19VVaWpokKS8vTz///LN8fX2daiwWi9LS0hQWFmav/32dn5+f1qxZo4KCAtWpU+eK98/d3XLposvg5max/21233BUeqyrcnzOcfXE16Hr4xy6tupw/qp1wPr666+1adMmh/VWHTt2VGxsrFq1aqVTp04pOTlZDz30kF5++WWFhoZKknJyclS/fn2n/ry8vLR3715J5xfBS+dvN17IarWqbt26ys7OtvdltVrl4eHhUGez2WQYhrKzs684YLm5WVSv3pWHs7KUhkpPTw+nxfowl6en9dJFlTy+2Z8/MAdfh66Pc+jaKvP8lfeH62obsE6cOKHx48crLCxMDzzwgL193LhxDnXdunVT//799eKLL2rFihVXe5oVUlJiKDe3wNQ+3d3d5OXlqby8syouLjG1bzjKyyus8vHN/vyBOfg6dH2cQ9dWmefPy8uzXFfFqmXAysnJ0ciRI9WgQQMtXLjQvri9LJ6enuratas+/PBDe5vNZtOJEyecarOzs+Xl5SVJ9itcpVeyShUWFio/P99eZ7PZVFhYqLNnzzpcxcrJyZHFYrHXXaniYnOTtcVyvr+SEsP0vuGopKRqjy/nuPri69D1cQ5dW3U4f9VqkbskFRQUKCEhQWfOnNHKlSvLvNV3Kb6+vkpPT3e6LJienm5fS+Xp6ambbrrJvsbqwhrDMOx1pX+np6c71KWlpenmm2+u0PorAABQM1WrgHXu3DklJiYqLS1NK1euVJMmTS75mry8PH366adq3769vS0qKkrZ2dnauXOnvS09PV379u1TVFSUQ922bdtUVFRkb9u0aZNsNpt9PVeHDh1Ur149bd682V5TVFSkrVu3OvQFAABQqlrdIpw2bZq2b9+upKQk5ebmOjwtvU2bNtqzZ49Wrlyp3r17q2nTpjp16pRWr16tX375RfPnz7fXhoaGKjIyUpMmTdLEiRPl4eGhuXPnKiAgQH369LHXxcfHa+PGjXryySc1dOhQHTx4UMnJyRo/frz90Q0eHh5KSEjQwoUL5e3tLX9/f7322ms6ffq0w8NIAQAASlWrgJWamipJmjVrltO2bdu2qXHjxioqKtLcuXN1+vRp1a1bV6GhoZo2bZqCgoIc6ufNm6eZM2dqypQpOnfunCIjIzV58mT7U9wlqWXLlkpOTtasWbM0atQoeXt7a9y4cRoxYoRDXyNHjpRhGFq1apWysrIUGBio5ORknuIOAADKZDF4/2mVKS4uUVbWb6b2WauWmxo2vE6//vqbzp3jnS+Vac+eb9WrV5Qee+VjNQ0MvmrjHt//by26v5c+/jhFQUEhV21clB9fh66Pc+jaKvP8eXtfJ3f3S6+wqlZrsAAAAGoCAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyWpV9QQAoLo6duyosrIyL/t17u5ustnqKicnX8XFJZf9em/vRmrWrPllvw5A9UHAAoAyHDt2VF0iOqogP++qj12nrqc+T/2KkAW4MAIWAJQhKytTBfl5unf6Et3gc8tVG/dU+iGtnzxGWVmZBCzAhRGwAOAP3OBzi5oGBlf1NAC4GBa5AwAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGCyahWwNm/erDFjxigqKkohISGKjY3VW2+9JcMwHOrefPNN9e3bV+3bt9fAgQO1fft2p77OnDmjSZMmqVOnTgoNDdW4ceN06tQpp7pdu3ZpyJAhCgoKUvfu3bV8+XKn8QzD0PLly9WtWzcFBQVpyJAh+vbbb03ddwAAUHNUq4D10ksvqW7dukpKStKSJUsUFRWlZ599VosXL7bXfPDBB3r22WfVr18/rVixQiEhIXrsscecAk9iYqJSU1M1depUzZ49W+np6Ro5cqTOnTtnr8nIyFB8fLwaN26sZcuWafjw4VqwYIFWrVrl0NeKFSu0YMECPfjgg1q2bJkaN26sESNG6OjRo5V6PAAAgGuqVg8aXbJkiby9ve0fh4eH6/Tp01q9erUeeeQRubm5acGCBYqJiVFiYqIkqXPnzjp48KAWL16sFStWSJJ2796tzz77TMnJyYqMjJQk+fj4KDo6Wlu3blV0dLQkKTk5WQ0bNtScOXNktVoVHh6urKwsLV26VHFxcbJarTp79qyWLVumESNG6MEHH5Qk3XrrrbrjjjuUnJysqVOnXrXjAwAAXEO1uoJ1YbgqFRgYqNzcXOXl5eno0aM6cuSI+vXr51ATHR2tnTt3qrCwUJKUkpIim82miIgIe42vr68CAwOVkpJib0tJSVHPnj1ltVod+srJydHu3bslnb+FmJub6zCm1WpV7969HfoCAAAoVa2uYJXlm2++UZMmTVSvXj198803ks5fjbqQn5+fioqKdPToUfn5+SktLU0+Pj6yWCwOdb6+vkpLS5Mk5eXl6eeff5avr69TjcViUVpamsLCwuz1v6/z8/PTmjVrVFBQoDp16lzx/rm7Wy5ddBnc3Cz2v83uG45Kj3VVjs85rjyc32sb30tdW3U4f9U6YH399dfatGmTJk6cKEnKzs6WJNlsNoe60o9Lt+fk5Kh+/fpO/Xl5eWnv3r2Szi+CL6svq9WqunXrOvRltVrl4eHhNKZhGMrOzr7igOXmZlG9elcezspSGio9PT2cFuvDXJ6e1ksXVfL4Zn/+4H84v9c2vpe6tso8f+X94avaBqwTJ05o/PjxCgsL0wMPPFDV06kUJSWGcnMLTO3T3d1NXl6eyss7q+LiElP7hqO8vMIqH9/szx/8D+f32sb3UtdWmefPy8uzXFfFqmXAysnJ0ciRI9WgQQMtXLhQbm7nl4p5eXlJOn/1qXHjxg71F2632Ww6ceKEU7/Z2dn2mtIrXKVXskoVFhYqPz/foa/CwkKdPXvW4SpWTk6OLBaLve5KFRebm6wtlvP9lZQYpvcNRyUlVXt8OceVi/N7beN7qWurDuevWi1yl6SCggIlJCTozJkzWrlypcOtvtJ1UKXrokqlpaWpdu3aat68ub0uPT3d6bJgenq6vQ9PT0/ddNNNTn2Vvq60rvTv9PR0pzFvvvnmCq2/AgAANVO1Cljnzp1TYmKi0tLStHLlSjVp0sRhe/PmzdWqVStt2bLFoX3Tpk0KDw+3vxswKipK2dnZ2rlzp70mPT1d+/btU1RUlL0tKipK27ZtU1FRkUNfNptNoaGhkqQOHTqoXr162rx5s72mqKhIW7dudegLAACgVLW6RTht2jRt375dSUlJys3NdXh4aJs2bWS1WjV27FhNmDBBLVq0UFhYmDZt2qQ9e/Zo3bp19trQ0FBFRkZq0qRJmjhxojw8PDR37lwFBASoT58+9rr4+Hht3LhRTz75pIYOHaqDBw8qOTlZ48ePt4c1Dw8PJSQkaOHChfL29pa/v79ee+01nT59WvHx8Vft2AAAANdRrQJWamqqJGnWrFlO27Zt26ZmzZqpf//+ys/P14oVK7R8+XL5+Pho0aJF9itOpebNm6eZM2dqypQpOnfunCIjIzV58mTVqvW/XW7ZsqWSk5M1a9YsjRo1St7e3ho3bpxGjBjh0NfIkSNlGIZWrVqlrKwsBQYGKjk52X5LEgAA4ELVKmB98skn5aobPHiwBg8e/Ic19evX14wZMzRjxow/rOvQoYPWr1//hzUWi0UJCQlKSEgo1/wAAMC1rVqtwQIAAKgJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmq1DAOnXqlFnzAAAAqDEqFLC6deumESNG6N1331VeXp5ZcwIAAHBpFQpY48aN06lTp5SUlKSIiAhNmDBBKSkpKikpMWt+AAAALqdWRV48evRojR49Wvv27dPGjRv1wQcf6B//+IcaNWqkmJgYDRgwQO3btzdrrgAAAC6hQgGrVJs2bdSmTRs9/fTT+te//qWNGzdqw4YNevnll+Xj46OBAwdq4MCBuvnmm80YDgAAoFoz9V2EFotFt956q7p27arg4GAZhqGMjAwtWrRIvXr1st9SBAAAqMlMuYIlyX7lauvWrcrNzZW/v78mTpyoAQMGyN3dXRs2bNCyZcv09NNP66WXXjJrWAAAgGqnQgHrhx9+0Pvvv68PPvhAp06d0vXXX6977rlHd955pwICAhxq4+Pj5eHhob/97W8VmjAAAEB1V6GAdeedd6pOnTrq2bOn7rzzTkVERMjN7eJ3Hf/0pz8pJCSkIkMCAABUexUKWDNmzFDfvn113XXXlau+c+fO6ty5c0WGBAAAqPYqFLAGDRpk1jwAAABqjAq9i3Dt2rWKj4+/6PaHH35Yr776akWGAAAAcDkVClhvvfWW/Pz8Lrr9T3/6k9avX1+RIQAAAFxOhQLW0aNH/zBg+fr66qeffqrIEAAAAC6nQgGrdu3a+uWXXy66/dSpU3/4rkIAAICaqELpJzg4WO+8845yc3Odtp05c0YbNmxQcHBwRYYAAABwORV6F+Fjjz2mYcOG6c4779Tw4cP1pz/9SZJ06NAhrVmzRr/88oteeOEFUyYKAADgKioUsIKDg7V06VJNmTJFzz33nCwWiyTJMAw1a9ZMS5YsUWhoqCkTBQAAcBUV/l2EERER+uijj7Rv3z77gvYWLVqobdu29sAFAABwLTHllz27ubmpXbt2ateunRndAQAAuDRTAtaPP/6oo0ePKjs7u8ztd955pxnDAAAAuIQKBayffvpJTz31lPbs2SPDMMqssVgsBCwAAHBNqVDAmjJlig4ePKhJkybptttuk81mM2teAAAALqtCAWvXrl1KSEhQXFycWfMBAABweRV60GjDhg1Vv359s+YCAABQI1QoYN133316//33VVxcbMpkMjIyNGXKFMXGxqpNmzbq37+/U01cXJwCAgKc/hw+fNih7syZM5o0aZI6deqk0NBQjRs3TqdOnXLqb9euXRoyZIiCgoLUvXt3LV++3Gk9mWEYWr58ubp166agoCANGTJE3377rSn7DAAAap4K3SJs1aqVSkpKFBsbq7vvvls33nij3N3dner69OlTrv4OHTqkHTt2KDg4WCUlJRddON+hQwdNnDjRoa1Zs2YOHycmJurHH3/U1KlT5eHhoXnz5mnkyJF6++23VavW+d3OyMhQfHy8IiIilJiYqAMHDmj27Nlyd3dXfHy8va8VK1ZowYIFmjBhggICAvTKK69oxIgReu+999S8efNy7RsAALh2VChgjR8/3v7vv/3tb2XWWCwW7d+/v1z99ejRQ7169ZIkJSUlae/evWXW2Ww2hYSEXLSf3bt367PPPlNycrIiIyMlST4+PoqOjtbWrVsVHR0tSUpOTlbDhg01Z84cWa1WhYeHKysrS0uXLlVcXJysVqvOnj2rZcuWacSIEXrwwQclSbfeeqvuuOMOJScna+rUqeXaNwAAcO2oUMBau3atWfOQdP6BpWZISUmRzWZTRESEvc3X11eBgYFKSUmxB6yUlBT17t1bVqvVXhcdHa1ly5Zp9+7dCgsL065du5Sbm6t+/frZa6xWq3r37q2PPvrIlPkCAICapUIBq1OnTmbN47J8+eWXCgkJUXFxsYKDg/X444+rY8eO9u1paWny8fFx+lU9vr6+SktLkyTl5eXp559/lq+vr1ONxWJRWlqawsLC7PW/r/Pz89OaNWtUUFCgOnXqXPG+uLub++uE3Nws9r/N7huOSo91VY7POa48nN9rG99LXVt1OH+mPMm9sLBQ33//vTIzM9WhQwd5e3ub0W2ZOnbsqNjYWLVq1UqnTp1ScnKyHnroIb388sv2Xyydk5NT5rsbvby87Lcdz5w5I0lOz+6yWq2qW7eu/an0OTk5slqt8vDwcKiz2WwyDEPZ2dlXHLDc3CyqV+/Kw1lZSkOlp6fHRdewwRyentZLF1Xy+GZ//uB/OL/XNr6XurbKPH/l/eGrwgFr7dq1WrRokT2wrFq1yr6WqV+/fnrqqad0zz33VHQYu3Hjxjl83K1bN/Xv318vvviiVqxYYdo4V0NJiaHc3AJT+3R3d5OXl6fy8s6quLjE1L7hKC+vsMrHN/vzB//D+b228b3UtVXm+fPy8izXVbEKBay3335bM2bMUExMjCIiIjRp0iT7Nm9vb3Xu3FmbNm0yNWD9nqenp7p27aoPP/zQ3maz2XTixAmn2uzsbHl5eUmS/QpXaTAsVVhYqPz8fHudzWZTYWGhzp4963AVKycnRxaLxV53pYqLzU3WFsv5/kpKDNP7hqOSkqo9vpzjysX5vbbxvdS1VYfzV6FV5atXr1bPnj31wgsvqHv37k7b27Ztq0OHDlVkiCvi6+ur9PR0p8uC6enp9rVUnp6euummm+xrrC6sMQzDXlf6d3p6ukNdWlqabr755gqtvwIAADVThQJWRkaGoqKiLrq9QYMGOn36dEWGuKS8vDx9+umnat++vb0tKipK2dnZ2rlzp70tPT1d+/btc5hvVFSUtm3bpqKiInvbpk2bZLPZ7Ou5OnTooHr16mnz5s32mqKiIm3duvUP9x0AAFy7KnSL0Gaz6ddff73o9h9//FGNGzcud3/5+fnasWOHJOn48ePKzc3Vli1bJJ1/x2JaWppWrlyp3r17q2nTpjp16pRWr16tX375RfPnz7f3ExoaqsjISE2aNEkTJ06Uh4eH5s6dq4CAAIeHnsbHx2vjxo168sknNXToUB08eFDJyckaP368/dENHh4eSkhI0MKFC+Xt7S1/f3+99tprOn36tMPDSAEAAEpVKGBFRUVp/fr1+vOf/+y07dChQ3rzzTd19913l7u/zMxMPf744w5tpR+vXbtWN954o4qKijR37lydPn1adevWVWhoqKZNm6agoCCH182bN08zZ87UlClTdO7cOUVGRmry5Mn2p7hLUsuWLZWcnKxZs2Zp1KhR8vb21rhx4zRixAiHvkaOHCnDMLRq1SplZWUpMDBQycnJPMUdAACUqUIBKzExUffee6/69++v7t27y2Kx6N1339Xbb7+trVu3qnHjxnrkkUfK3V+zZs104MCBP6xJTk4uV1/169fXjBkzNGPGjD+s69Chg9avX/+HNRaLRQkJCUpISCjX2AAA4NpWoTVYTZo00YYNG3T77bdr8+bNMgxD7733nrZv366YmBitX7++Up+JBQAAUB1V+DlYjRo10nPPPafnnntOWVlZKikpkbe3t2m/9gYAAMDVmPIk91JcrQIAAKhgwFq0aNElaywWix599NGKDAMAAOBSKi1gWSwWGYZBwAIAANecCgWsH374wamtpKREx48f16uvvqqvvvrK5X4/IAAAQEWZvhLdzc1NzZs318SJE9WyZUtNnz7d7CEAAACqtUp9q1/Hjh3tT2YHAAC4VlRqwNq7dy+PawAAANecCq3Bevfdd8tsz8nJ0ddff62tW7dq8ODBFRkCAADA5VQoYCUlJV10W8OGDTVq1CjeQQgAAK45FQpY27Ztc2qzWCyy2WyqV69eRboGAABwWRUKWE2bNjVrHgAAADUGK9ABAABMVqErWK1bt5bFYrms11gsFu3bt68iwwIAAFRrFQpYjz76qD7++GP9+OOPioyMlI+PjyQpLS1NqampuuWWW9SrVy9TJgoAAOAqKhSwbrjhBmVmZmrjxo3y9fV12Hb48GENHz5cN9xwg+69994KTRIAAMCVVGgNVnJysoYNG+YUriTJz89P999/v1auXFmRIQAAAFxOhQLWiRMnVKvWxS+C1apVSydOnKjIEAAAAC6nQgHrlltu0auvvqqTJ086bTtx4oRee+01+fv7V2QIAAAAl1OhNVjPPPOMHn74YfXt21e9evVSy5YtJUlHjhzRtm3bZBiGnn/+eVMmCgAA4CoqFLBuu+02rV+/XvPnz9fHH3+sgoICSVKdOnUUGRmpsWPHKiAgwJSJAgAAuIoKBSxJ8vf31+LFi1VSUqKsrCxJkre3t9zceIYpAAC4NlU4YJVyc3OTh4eHPD09CVcAAOCaVuEk9N133yk+Pl7BwcEKCwvTl19+KUnKysrSmDFj9MUXX1R4kgAAAK6kQgFr165d+vOf/6yMjAwNHDhQJSUl9m3e3t7Kzc3VG2+8UeFJAgAAuJIKBay5c+fKz89PmzZt0vjx4522h4WF6d///ndFhgAAAHA5FQpY3333nQYNGiSr1VrmL31u0qSJ/vvf/1ZkCAAAAJdToYBVq1Yth9uCv3fy5El5enpWZAgAAACXU6GAFRwcrA8//LDMbXl5edqwYYM6duxYkSEAAABcToUC1rhx47R3716NGjVKKSkpkqQDBw7ozTff1KBBg5SVlaVHHnnElIkCAAC4igpfwVq+fLkyMjI0ceJESdKsWbP07LPPqqSkRMuXL1fr1q1NmSgAAICruOIHjRqGod9++00dOnTQhx9+qP379+vIkSMyDEPNmzdXu3btylz4DgAAUNNdccAqKipSp06dNH78eI0cOVKBgYEKDAw0c24AAAAu6YpvEVqtVl1//fWyWq1mzgcAAMDlVWgN1l133aX33ntPhYWFZs0HAADA5VXolz0HBARo27Zt6t+/v+666y41bdpUderUcarr06dPRYYBAABwKRUKWE888YT93/Pnzy+zxmKxaP/+/RUZBgAAwKVcdsCaM2eOoqOj1bp1a61du7Yy5gQAAODSLjtgLV++XLfccotat26tTp066ddff1WXLl20atUqhYeHV8YcAQAAXEqFbhGWMgzDjG5gkp9++klpaUdVXHzx3xNZGby9G6lZs+ZXdUwAAKojUwIWqo9jx44qrPOtys/Lu+pj16nrqc9TvyJkAQCueQSsGiYzM1P5eXm6d/oS3eBzy1Ub91T6Ia2fPEZZWZkELADANe+KAtbx48f1/fffS5LOnDkjScrIyJDNZiuzvm3btlc4PVypG3xuUdPA4KqeBgAA16QrCljz5893eizDtGnTnOoMw+AxDQAA4Jpz2QFr5syZlTEPAACAGuOyA9Zdd91VGfMAAACoMSr0uwgBAADgjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmKxaBayMjAxNmTJFsbGxatOmjfr3719m3Ztvvqm+ffuqffv2GjhwoLZv3+5Uc+bMGU2aNEmdOnVSaGioxo0bp1OnTjnV7dq1S0OGDFFQUJC6d++u5cuXO/1uRcMwtHz5cnXr1k1BQUEaMmSIvv32W1P2GQAA1DzVKmAdOnRIO3bsUMuWLeXn51dmzQcffKBnn31W/fr104oVKxQSEqLHHnvMKfAkJiYqNTVVU6dO1ezZs5Wenq6RI0fq3Llz9pqMjAzFx8ercePGWrZsmYYPH64FCxZo1apVDn2tWLFCCxYs0IMPPqhly5apcePGGjFihI4ePWr6MQAAAK6vWv0uwh49eqhXr16SpKSkJO3du9epZsGCBYqJiVFiYqIkqXPnzjp48KAWL16sFStWSJJ2796tzz77TMnJyYqMjJQk+fj4KDo6Wlu3blV0dLQkKTk5WQ0bNtScOXNktVoVHh6urKwsLV26VHFxcbJarTp79qyWLVumESNG6MEHH5Qk3XrrrbrjjjuUnJysqVOnVu5BAQAALqdaXcFyc/vj6Rw9elRHjhxRv379HNqjo6O1c+dOFRYWSpJSUlJks9kUERFhr/H19VVgYKBSUlLsbSkpKerZs6esVqtDXzk5Odq9e7ek87cQc3NzHca0Wq3q3bu3Q18AAAClqtUVrEtJS0uTdP5q1IX8/PxUVFSko0ePys/PT2lpafLx8ZHFYnGo8/X1tfeRl5enn3/+Wb6+vk41FotFaWlpCgsLs9f/vs7Pz09r1qxRQUGB6tSpc8X75O5uuXTRZbCY291lc3OzmL5P1ZWbW9Xu57V0rKsC5/faVnr+OQ+uqTqcP5cKWNnZ2ZIkm83m0F76cen2nJwc1a9f3+n1Xl5e9tuOZ86cKbMvq9WqunXrOvRltVrl4eHhNKZhGMrOzr7igOXmZlG9elcezspSt6710kWVyNPTavo+VVeenhzrmozze20r/QHd09PD6Y1PqP4q8/yV94cvlwpYNU1JiaHc3AJT+8zPLzS1v8uVl1do+j5VV3l5HOuajPN7bXN3d5OXl6fy8s6quLikqqeDy1SZ58/Ly7NcV8VcKmB5eXlJOn/1qXHjxvb2nJwch+02m00nTpxwen12dra9pvQKV+mVrFKFhYXKz8936KuwsFBnz551uIqVk5Mji8Vir7tSxcXmJuuq/kGrpMQwfZ+qq5KSqt3Pa+lYVwXO77XNYjl/7DkPrqk6nL9qtcj9UkrXQZWuiyqVlpam2rVrq3nz5va69PR0p8uC6enp9j48PT110003OfVV+rrSutK/09PTnca8+eabK7T+CgAA1EwuFbCaN2+uVq1aacuWLQ7tmzZtUnh4uP3dgFFRUcrOztbOnTvtNenp6dq3b5+ioqLsbVFRUdq2bZuKiooc+rLZbAoNDZUkdejQQfXq1dPmzZvtNUVFRdq6datDXwAAAKWq1S3C/Px87dixQ5J0/Phx5ebm2sNUp06d5O3trbFjx2rChAlq0aKFwsLCtGnTJu3Zs0fr1q2z9xMaGqrIyEhNmjRJEydOlIeHh+bOnauAgAD16dPHXhcfH6+NGzfqySef1NChQ3Xw4EElJydr/Pjx9rDm4eGhhIQELVy4UN7e3vL399drr72m06dPKz4+/ioeHQAA4CqqVcDKzMzU448/7tBW+vHatWsVFham/v37Kz8/XytWrNDy5cvl4+OjRYsW2a84lZo3b55mzpypKVOm6Ny5c4qMjNTkyZNVq9b/drlly5ZKTk7WrFmzNGrUKHl7e2vcuHEaMWKEQ18jR46UYRhatWqVsrKyFBgYqOTkZPstSQAAgAtVq4DVrFkzHThw4JJ1gwcP1uDBg/+wpn79+poxY4ZmzJjxh3UdOnTQ+vXr/7DGYrEoISFBCQkJl5wbAACAS63BAgAAcAUELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAEzmcgFrw4YNCggIcPoze/Zsh7o333xTffv2Vfv27TVw4EBt377dqa8zZ85o0qRJ6tSpk0JDQzVu3DidOnXKqW7Xrl0aMmSIgoKC1L17dy1fvlyGYVTaPgIAANdWq6oncKVWrlyp+vXr2z9u0qSJ/d8ffPCBnn32WY0ePVqdO3fWpk2b9Nhjj+mVV15RSEiIvS4xMVE//vijpk6dKg8PD82bN08jR47U22+/rVq1zh+ajIwMxcfHKyIiQomJiTpw4IBmz54td3d3xcfHX7X9BQAArsNlA1bbtm3l7e1d5rYFCxYoJiZGiYmJkqTOnTvr4MGDWrx4sVasWCFJ2r17tz777DMlJycrMjJSkuTj46Po6Ght3bpV0dHRkqTk5GQ1bNhQc+bMkdVqVXh4uLKysrR06VLFxcXJarVW/s4CAACX4nK3CC/l6NGjOnLkiPr16+fQHh0drZ07d6qwsFCSlJKSIpvNpoiICHuNr6+vAgMDlZKSYm9LSUlRz549HYJUdHS0cnJytHv37kreGwAA4IpcNmD1799fgYGB6tmzp5YtW6bi4mJJUlpamqTzV6Mu5Ofnp6KiIh09etRe5+PjI4vF4lDn6+tr7yMvL08///yzfH19nWosFou9DgAA4EIud4uwcePGGjt2rIKDg2WxWPTJJ59o3rx5OnnypKZMmaLs7GxJks1mc3hd6cel23NychzWcJXy8vLS3r17JZ1fBF9WX1arVXXr1rX3VRHu7pZLF10Gi7ndXTY3N4vp+1RdublV7X5eS8e6KnB+r22l55/z4Jqqw/lzuYB1++236/bbb7d/HBkZKQ8PD61Zs0ajR4+uwpldPjc3i+rVq2Nqn3XrVu2aME9Pq+n7VF15enKsazLO77Wt9O6Gp6cH7xp3QZV5/sr7w5fLBayy9OvXT6tWrdL+/fvl5eUl6fzVp8aNG9trcnJyJMm+3Waz6cSJE059ZWdn22tKr3CVXskqVVhYqPz8fHvdlSopMZSbW1ChPn4vP7/Q1P4uV15eoen7VF3l5XGsazLO77XN3d1NXl6eyss7q+LikqqeDi5TZZ4/Ly/Pcl0VqxEB60Kl66XS0tIc1k6lpaWpdu3aat68ub1u586dMgzDYR1Wenq6/P39JUmenp666aabnNZapaenyzAMp7VZV6K42NxkXdU/aJWUGKbvU3VVUlK1+3ktHeuqwPm9tlks548958E1VYfz57KL3C+0adMmubu7q02bNmrevLlatWqlLVu2ONWEh4fb3w0YFRWl7Oxs7dy5016Tnp6uffv2KSoqyt4WFRWlbdu2qaioyKEvm82m0NDQSt4zAADgilzuClZ8fLzCwsIUEBAgSdq2bZvWr1+vBx54wH5LcOzYsZowYYJatGihsLAwbdq0SXv27NG6devs/YSGhioyMlKTJk3SxIkT5eHhoblz5yogIEB9+vRxGG/jxo168sknNXToUB08eFDJyckaP348z8ACAABlcrmA5ePjo7ffflsnTpxQSUmJWrVqpUmTJikuLs5e079/f+Xn52vFihVavny5fHx8tGjRIqcrTvPmzdPMmTM1ZcoUnTt3TpGRkZo8ebL9Ke6S1LJlSyUnJ2vWrFkaNWqUvL29NW7cOI0YMeKq7TMAAHAtLhewJk+eXK66wYMHa/DgwX9YU79+fc2YMUMzZsz4w7oOHTpo/fr15Z4jAAC4ttWINVgAAADVCQELAADAZAQsAAAAkxGwAAAATEbAAgAAMJnLvYsQAAAzHDt2VFlZmWVuc3d3k81WVzk5+ab/qhVv70Zq1qy5qX2i+iFgAQCuOceOHVWXiI4qyM+76mPXqeupz1O/ImTVcAQsAMA1JysrUwX5ebp3+hLd4HPLVRv3VPohrZ88RllZmQSsGo6ABQC4Zt3gc4uaBgZX9TRQA7HIHQAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMVquqJwAAAGquY8eOKisr86qO6e7uJl/f5qpfv9FVHfdCBCwAAFApjh07qi4RHVWQn3fVx67r6akv/vWNbryx6VUfWyJgAQCASpKVlamC/DzdO32JbvC55aqNeyr9kNZPHqPMzEwCFgAAqJlu8LlFTQODq3oaVxWL3AEAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwyunw4cN66KGHFBISooiICD3//PMqLCys6mkBAIBqiCe5l0N2draGDx+uVq1aaeHChTp58qRmzZqlgoICTZkypaqnBwAAqhkCVjm8/vrr+u2337Ro0SI1aNBAklRcXKxp06YpISFBTZo0qdoJAgCAaoVbhOWQkpKi8PBwe7iSpH79+qmkpESpqalVNzEAAFAtWQzDMKp6EtVdeHi47r77bk2YMMGh/fbbb1dsbKxTe3kZhqGSEnMPf2FhoX7++T+6ruH1cq9d29S+/0hxUZF++/W/uv7661W7tvWqjVuViooK9d///pdjXUNxfms2zu/VUdXH+aabbpbVau5xdnOzyGKxXLKOW4TlkJOTI5vN5tTu5eWl7OzsK+7XYrHI3f3SJ+ly1K1bR76+vqb2Wc6RpYbOx6gmq1u3TpmfF1dh5GvuWFcFzm/Nxvm9Oq7l48wtQgAAAJMRsMrBZrPpzJkzTu3Z2dny8vKqghkBAIDqjIBVDr6+vkpLS3NoO3PmjH755Zcquh0HAACqMwJWOURFRenzzz9XTk6OvW3Lli1yc3NTREREFc4MAABUR7yLsByys7MVExMjHx8fJSQk2B80OmDAAB40CgAAnBCwyunw4cP661//qt27d+u6665TbGysxo8fb/rbPwEAgOsjYAEAAJiMNVgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyAVYMcPnxYDz30kEJCQhQREaHnn39ehYWFVT0tlFNGRoamTJmi2NhYtWnTRv3796/qKeEybN68WWPGjFFUVJRCQkIUGxurt956SzwJx3Xs2LFDw4YNU+fOndWuXTv17NlTM2fOLPN30aL6++233xQVFaWAgAB99913V338Wld9RFSK7OxsDR8+XK1atdLChQvtT5svKCjgafMu4tChQ9qxY4eCg4NVUlLCf8wu5qWXXlLTpk2VlJSkhg0b6vPPP9ezzz6rEydO6LHHHqvq6aEcTp8+raCgIMXFxalBgwY6dOiQFi5cqEOHDmnVqlVVPT1cphdffFHFxcVVNj4Bq4Z4/fXX9dtvv2nRokVq0KCBJKm4uFjTpk1TQkKCmjRpUrUTxCX16NFDvXr1kiQlJSVp7969VTwjXI4lS5bI29vb/nF4eLhOnz6t1atX65FHHpGbGzcMqrvY2FiHj8PCwmS1WvXss8/q5MmTfB91IYcPH9arr76qiRMn6v/9v/9XJXPgK76GSElJUXh4uD1cSVK/fv1UUlKi1NTUqpsYyo3/gF3bheGqVGBgoHJzc5WXl1cFM4IZSr+nFhUVVe1EcFmmT5+u++67Tz4+PlU2B76j1xBpaWny9fV1aLPZbGrcuLHS0tKqaFbAte2bb75RkyZNVK9evaqeCi5DcXGxzp49q++//16LFy9Wjx491KxZs6qeFsppy5YtOnjwoB599NEqnQe3CGuInJwc2Ww2p3YvLy9lZ2dXwYyAa9vXX3+tTZs2aeLEiVU9FVym7t276+TJk5Kk22+/XS+88EIVzwjllZ+fr1mzZmn8+PFV/oMNV7AAwGQnTpzQ+PHjFRYWpgceeKCqp4PLtHz5cr3++uuaPn260tLSNHr06CpdLI3yW7JkiRo1aqS77767qqfCFayawmazlflW4uzsbHl5eVXBjIBrU05OjkaOHKkGDRpo4cKFrK1zQa1bt5YkhYaGqn379oqNjdVHH32kO+64o4pnhj9y/PhxrVq1SosXL7b/f1i6/jEvL0+//fabrrvuuqs2HwJWDeHr6+u01urMmTP65ZdfnNZmAagcBQUFSkhI0JkzZ/TGG2+ofv36VT0lVFBAQIBq166tn376qaqngks4duyYioqKNGrUKKdtDzzwgIKDg7V+/fqrNh8CVg0RFRWlpUuXOqzF2rJli9zc3BQREVHFswNqvnPnzikxMVFpaWl65ZVXeEt/DfHvf/9bRUVFLHJ3AYGBgVq7dq1D2/79+zVz5kxNmzZN7du3v6rzIWDVEPfdd59efvllPfroo0pISNDJkyf1/PPP67777uMbvYvIz8/Xjh07JJ2/1J2bm6stW7ZIkjp16lTmYwBQfUybNk3bt29XUlKScnNz9e2339q3tWnTRlarteomh3J57LHH1K5dOwUEBKhOnTr64YcflJycrICAAPsz6lB92Ww2hYWFlbmtbdu2atu27VWdj8XgcdE1xuHDh/XXv/5Vu3fv1nXXXafY2FiNHz+eb+wu4tixY+rZs2eZ29auXXvRbxyoHnr06KHjx4+XuW3btm1cAXEBy5cv16ZNm/TTTz/JMAw1bdpUvXv3Vnx8fJW/Iw1X5osvvtADDzygt95666pfwSJgAQAAmIy3twAAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAcAl9OjRQ0lJSVU9DQAuhN9FCMAlbdiwQc8884xDm7e3t/70pz/p4YcfVteuXatoZgBAwALg4saNG6dmzZrJMAxlZmbqnXfe0ahRo7R06VJ17969qqcH4BpFwALg0qKiohx+ies999yjiIgI/eMf/7iqASsvL0+enp5XbTwA1RtrsADUKDabTR4eHqpV638/P5aUlOill15STEyM2rdvry5dumjKlCnKzs52eK1hGHrxxRcVFRWl4OBgxcXF6dChQ05jbNiwQQEBAfryyy81depUhYeHO9ySfOWVVxQTE6N27dopMjJS06ZNU05OjlM/mzdv1qBBgxQUFKSwsDBNmDBBJ0+edKhJSkpSaGio/vOf/yghIUGhoaG6/fbb9corr0iSDhw4oAceeEAhISHq3r27Nm7c6PD6oqIiLVq0SH369FH79u0VFhamoUOHKjU19fIPLoBy4woWAJeWm5urrKwsSVJmZqZefvll5eXlaeDAgfaaKVOm6J133tGgQYMUFxenY8eO6ZVXXtG+ffv02muvqXbt2pKk+fPna8mSJeratau6du2q77//XiNGjFBRUVGZY0+bNk3e3t569NFHlZeXJ0lauHChFi1apC5dumjo0KFKT0/Xa6+9pu+++85hrNI1ZO3bt9cTTzyhzMxMrV27Vrt27dK7774rm81mH6e4uFgjR47UbbfdpgkTJmjjxo36y1/+orp162ru3LkaMGCA+vTpo9dff10TJ05USEiImjdvLklatGiRli1bpsGDBysoKEi5ubnau3evvv/+e0VERJh/QgCcZwCAC3r77bcNf39/pz/t2rUzNmzYYK/76quvDH9/f+P99993eH1KSopDe2ZmptG2bVtj1KhRRklJib1uzpw5hr+/vzFx4kSnsYcOHWqcO3fO3l7ax4gRI4zi4mJ7+7p16wx/f3/jrbfeMgzDMAoLC43w8HCjf//+RkFBgb1u+/bthr+/vzF//nx728SJEw1/f39j6dKl9rbs7GwjKCjICAgIMD744AN7++HDhw1/f39jwYIF9raBAwcao0aNuowjC8AM3CIE4NKmTJmi1atXa/Xq1fr73/+usLAwTZ48WVu3bpUkbdmyRfXr11dERISysrLsf9q2bStPT0998cUXkqTPP/9cRUVFGjZsmCwWi73/4cOHX3Tse++9V+7u7vaPS/t44IEH5Ob2v2+vgwcPVr169bRjxw5J0t69e5WZmamhQ4fKw8PDXtetWzf5+vrq008/dRpr8ODB9n/bbDb5+Piobt266tevn73d19dXNptNR48edag9dOiQjhw5cqlDCcBE3CIE4NKCgoIcFrn3799fd955p/7yl7+oW7duysjI0JkzZxQeHl7m6zMzMyVJ//nPfyRJrVq1ctju7e0tLy+vMl/brFkzh49L+/D19XVot1qtat68uY4fP+5Q5+Pj49Snr6+vvvnmG4c2Dw8PeXt7O7TVr19fN954o0MYLG2/cL3XuHHj9Mgjj6hv377y9/dXZGSkYmNj1bp16zL3CYA5CFgAahQ3NzeFhYVp7dq1ysjIUElJiRo1aqTZs2eXWf/74HI5Lrz6VJkuvEpWnnbDMOz/7tixoz766CNt27ZNqampeuutt7RmzRpNmzbN4aoYAHMRsADUOMXFxZLOPzqhRYsW2rlzpzp06KA6depc9DU333yzJOnIkSP2BeKSlJWV5fRuw0v1kZaW5tBHYWGhjh07pi5dujjUpaenO11ZS09Pt283S4MGDXT33Xfr7rvv1m+//aZhw4Zp4cKFBCygErEGC0CNUlRUpNTUVNWuXVt+fn7q16+fiouL9eKLLzrVnjt3zn47rUuXLqpdu7bWrVvncAVozZo15R67tI+XX37ZoY+33npLZ86csT/KoV27dmrUqJFef/11FRYW2ut27Nihw4cPq1u3bpe72xf166+/Onx83XXXqUWLFg7jAjAfV7AAuLSUlBSlpaVJOn+1aePGjTpy5IhGjRqlevXqqVOnThoyZIiWLVum/fv3KyIiQrVr19aRI0e0ZcsW/d///Z/uuOMOeXt7a8SIEVq2bJkSEhLUtWtX7du3TykpKWrYsGG55uLt7a2EhAQtWrRIDz/8sHr06KH09HS9+uqrat++vf3REbVr19aECRP0zDPPaNiwYYqJibE/pqFp06Z68MEHTTs+MTEx6tSpk9q2basGDRrou+++04cffqhhw4aZNgYAZwQsAC5twYIF9n97eHjI19dXU6dO1X333Wdv/8tf/qJ27drp9ddf19y5c+Xu7q6mTZtq4MCB6tChg70uMTFRVqtVr7/+ur744gsFBQVp1apVSkhIKPd8xo4dK29vb61bt04zZ86Ul5eX7r33Xj3xxBP2Z2BJ0qBBg1SnTh2tWLFCs2fPlqenp3r16qWnnnrK4RlYFRUXF6dPPvlEqampKiws1M0336zExETFx8ebNgYAZxbjwuvYAAAAqDDWYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACb7/9KGSqd7/S8rAAAAAElFTkSuQmCC\n"},"metadata":{}}]},{"cell_type":"code","source":["count_per_category = temp_df2['Eviction Category'].value_counts()\n","total_values = temp_df2['Eviction Category'].count()\n","percentage_per_category = (count_per_category / total_values) * 100"],"metadata":{"id":"skzuFDJBPezZ","executionInfo":{"status":"ok","timestamp":1723483762748,"user_tz":420,"elapsed":231,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":17,"outputs":[]},{"cell_type":"code","source":["print(\"Count and percentage per category:\")\n","print(pd.concat([count_per_category, percentage_per_category], axis=1, keys=['count', 'percentage']))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GP80N7D9QDcj","executionInfo":{"status":"ok","timestamp":1723483765840,"user_tz":420,"elapsed":83,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"fdcdd2fa-35f4-4b90-887a-faf9e7e2b695"},"execution_count":18,"outputs":[{"output_type":"stream","name":"stdout","text":["Count and percentage per category:\n","                   count  percentage\n","Eviction Category                   \n","At-Fault           64411   99.497961\n","No-Fault             325    0.502039\n"]}]},{"cell_type":"code","source":["# Filter to include only 'No-Fault' evictions\n","no_fault_df = temp_df2[temp_df2['Eviction Category'] == 'No-Fault']\n","\n","# Plot the distribution of 'Cause' in 'No-Fault' evictions\n","plt.figure(figsize=(10, 6))\n","\n","sns.countplot(y='Cause', data=no_fault_df, order=no_fault_df['Cause'].value_counts().index)\n","plt.title('Distribution of Causes for No-Fault Evictions')\n","plt.xlabel('Cause')\n","plt.ylabel('Count')\n","plt.xticks(rotation=45)\n","plt.tight_layout()\n","\n","# Show the plot\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":542},"id":"iU2eyBnxQEYL","executionInfo":{"status":"ok","timestamp":1723483779167,"user_tz":420,"elapsed":2145,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"71cf3575-8025-45b9-b94d-f54bfd62a3e3"},"execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Get the summary count for each 'Cause'\n","cause_summary = no_fault_df['Cause'].value_counts()\n","\n","# Display the summary\n","print(cause_summary)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QgKlSv_fSSZz","executionInfo":{"status":"ok","timestamp":1723483780979,"user_tz":420,"elapsed":207,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"7cf8c7a1-2920-4ac3-d79e-8997001b8ea8"},"execution_count":20,"outputs":[{"output_type":"stream","name":"stdout","text":["Cause\n","Withdrawing Units from Rental Market or Demolition    152\n","Owner/Family Occupancy                                132\n","Government Order                                       34\n","Resident Manager                                        4\n","Resident Manager, Owner/Family Occupancy                1\n","Name: count, dtype: int64\n"]}]},{"cell_type":"markdown","source":["We observe that around 0.5% of the dataset contains No-Fault tenants. The above plot and statistics show the reason behind the No-Fault tenants getting the eviction notices. The stats show that a majority of the reason included withdrawal of the rental unit from the market or family occupancy."],"metadata":{"id":"C0HHYl3gSV17"}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","# Filter to include only 'At-Fault' evictions\n","at_fault_df = temp_df2[temp_df2['Eviction Category'] == 'At-Fault']\n","\n","# Get the summary count for each 'Cause'\n","cause_summary = at_fault_df['Cause'].value_counts()\n","\n","# Select the top 10 causes\n","top_10_causes = cause_summary.head(10)\n","\n","# Create a color palette based on the number of causes (top 10)\n","palette = sns.color_palette(\"tab10\", len(top_10_causes))\n","\n","# Create the horizontal bar plot\n","plt.figure(figsize=(12, 7))\n","bars = plt.barh(top_10_causes.index, top_10_causes.values, color=palette)\n","\n","# Add labels and title\n","plt.xlabel('Number of Cases')\n","plt.ylabel('Cause')\n","plt.title('Top 10 Causes of At-Fault Eviction Cases')\n","\n","# Add a legend inside the plot area\n","handles = [plt.Line2D([0], [0], color=color, linewidth=10) for color in palette]\n","plt.legend(handles, top_10_causes.index, title=\"Cause\", bbox_to_anchor=(1.05, 1), loc='upper left')\n","\n","# Adjust layout to fit the legend\n","plt.tight_layout()\n","\n","# Show the plot\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":260},"id":"krL3Xeab6PRD","executionInfo":{"status":"ok","timestamp":1723483787696,"user_tz":420,"elapsed":1292,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"249ae5a6-d1b1-49b2-fae4-42c5f9682359"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-21-83a1c3cde61e>:30: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations.\n","  plt.tight_layout()\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x700 with 1 Axes>"],"image/png":"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Display the summary for top 10 causes of At-Fault Eviction Cases\n","print(top_10_causes)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7HZN8NRUm0nb","executionInfo":{"status":"ok","timestamp":1723483790146,"user_tz":420,"elapsed":190,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"2d69359a-bfae-4536-8f35-a466a674d3cf"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stdout","text":["Cause\n","Non-payment of rent                                                                                                           60547\n","Violation of the rental agreement or lease                                                                                     1298\n","Non-payment of rent, Violation of the rental agreement or lease                                                                 850\n","Violation of the rental agreement or lease, Disorderly behavior/disturbing the peace (Nuisance)                                 364\n","Disorderly behavior/disturbing the peace (Nuisance)                                                                             252\n","Unapproved subtenant at the end of the lease/tenancy                                                                             93\n","Refusal to renew a lease or rental agreement of like terms and conditions                                                        88\n","Violation of the rental agreement or lease, Disorderly behavior/disturbing the peace (Nuisance), Criminal activity               86\n","Violation of the rental agreement or lease, Unapproved subtenant at the end of the lease/tenancy                                 78\n","Violation of the rental agreement or lease, Damage to the rental unit, Disorderly behavior/disturbing the peace (Nuisance)       74\n","Name: count, dtype: int64\n"]}]},{"cell_type":"markdown","source":["The above statistics and graph show that majority of the reason for tenants being sent eviction notices were due to non-payment of rent(60547) and/or violation of the rental agreement or lease."],"metadata":{"id":"Rju6ruLErZ-1"}},{"cell_type":"code","source":["# Bar plot for frequency vs month by month chronologically\n","\n","import matplotlib.pyplot as plt\n","import pandas as pd\n","import calendar\n","\n","# Convert the 'Notice Date' column to datetime objects\n","temp_df2['Notice Date'] = pd.to_datetime(temp_df2['Notice Date'])\n","\n","# Extract the month from the 'Notice Date' column\n","temp_df2['Month'] = temp_df2['Notice Date'].dt.month\n","\n","# Group the data by month and count the occurrences\n","monthly_counts = temp_df2['Month'].value_counts().sort_index()\n","\n","# Create a bar plot of the monthly counts\n","monthly_counts.plot(kind='bar')\n","plt.xlabel('Month')\n","plt.ylabel('Frequency')\n","plt.title('Frequency of Evictions by Month')\n","\n","# Ensure the months are displayed as integer values\n","# plt.xticks(ticks=range(len(monthly_counts)), labels=monthly_counts.index.astype(int))\n","\n","# Convert index to integer to map to month names\n","monthly_counts.index = monthly_counts.index.astype(int)\n","\n","# Map month numbers to month names\n","month_names = [calendar.month_name[i] for i in monthly_counts.index]\n","\n","# Ensure the months are displayed as names\n","plt.xticks(ticks=range(len(monthly_counts)), labels=month_names, rotation=45)\n","\n","\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":764},"id":"70ueinNOWc86","executionInfo":{"status":"ok","timestamp":1723483793832,"user_tz":420,"elapsed":545,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"19464499-60c8-46e9-918c-64ca851b9d0c"},"execution_count":23,"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-23-19d89762a226>:8: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  temp_df2['Notice Date'] = pd.to_datetime(temp_df2['Notice Date'])\n","<ipython-input-23-19d89762a226>:11: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  temp_df2['Month'] = temp_df2['Notice Date'].dt.month\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["From the above representation, we can infer that the maximum eviction cases were filed in the month of May approximately reaching 9000 cases."],"metadata":{"id":"s8fwGP54Xkph"}},{"cell_type":"code","source":["# Get the summary count for each 'Notice Type'\n","notice_type_summary = temp_df2['Notice Type'].value_counts()\n","\n","# Display the summary\n","print(\"Summary of 'Notice Type' Categories:\")\n","print(notice_type_summary)\n","\n","plt.figure(figsize=(10, 6))\n","sns.countplot(y='Notice Type', data=temp_df2, order=notice_type_summary.index)\n","plt.title('Distribution of Notice Type Categories')\n","plt.xlabel('Count')\n","plt.ylabel('Notice Type')\n","plt.tight_layout()\n","\n","# Show the plot\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":716},"id":"MmgNIYkcb2L_","executionInfo":{"status":"ok","timestamp":1723483797378,"user_tz":420,"elapsed":1341,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"43dc0ac8-d69d-4ec4-fcda-c859efac3c19"},"execution_count":24,"outputs":[{"output_type":"stream","name":"stdout","text":["Summary of 'Notice Type' Categories:\n","Notice Type\n","3 Day      59606\n","30 Day      3788\n","10 Day       871\n","60 Day       309\n","120 Day      103\n","90 Day        33\n","15 Day        26\n","Name: count, dtype: int64\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["A majority of tenants, almost 60000 tenants had a 3-day Notice Type."],"metadata":{"id":"w3OD3uNXeNfH"}},{"cell_type":"code","source":["# Removing the Month column since its not needed anymore\n","data = temp_df2\n","data = data.drop(columns=['Month'])"],"metadata":{"id":"Qbifh3KZfjW8","executionInfo":{"status":"ok","timestamp":1723483819696,"user_tz":420,"elapsed":186,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":25,"outputs":[]},{"cell_type":"code","source":["def convert_to_bedroom(value):\n","    if value == 0:\n","        return 'Efficiency'\n","    elif value == 1:\n","        return 'One-Bedroom'\n","    elif value == 2:\n","        return 'Two-Bedroom'\n","    elif value == 3:\n","        return 'Three-Bedroom'\n","    # Add more conditions as needed\n","    elif value == 4:\n","      return 'Four-Bedroom'\n","    else:\n","        return 'Other'  # For values that don't match"],"metadata":{"id":"O6Cw1Qt3EC3K","executionInfo":{"status":"ok","timestamp":1723483823350,"user_tz":420,"elapsed":199,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":26,"outputs":[]},{"cell_type":"code","source":["data['Bedroom'] = data['Bedroom'].apply(convert_to_bedroom)"],"metadata":{"id":"FUGHzAQWEC0p","executionInfo":{"status":"ok","timestamp":1723483826546,"user_tz":420,"elapsed":209,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":27,"outputs":[]},{"cell_type":"code","source":["data[\"Bedroom\"].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":272},"id":"eR7YKS8pECxa","executionInfo":{"status":"ok","timestamp":1723483827534,"user_tz":420,"elapsed":168,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"3648b220-c34a-4ff0-f19f-6a74657b6fee"},"execution_count":28,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Bedroom\n","One-Bedroom      27246\n","Two-Bedroom      21039\n","Efficiency       11268\n","Three-Bedroom     3949\n","Four-Bedroom      1234\n","Name: count, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","    </tr>\n","    <tr>\n","      <th>Bedroom</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>One-Bedroom</th>\n","      <td>27246</td>\n","    </tr>\n","    <tr>\n","      <th>Two-Bedroom</th>\n","      <td>21039</td>\n","    </tr>\n","    <tr>\n","      <th>Efficiency</th>\n","      <td>11268</td>\n","    </tr>\n","    <tr>\n","      <th>Three-Bedroom</th>\n","      <td>3949</td>\n","    </tr>\n","    <tr>\n","      <th>Four-Bedroom</th>\n","      <td>1234</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":28}]},{"cell_type":"markdown","source":["### Merging the FMR Dataset"],"metadata":{"id":"5SdMe4V6_PlH"}},{"cell_type":"code","source":["fmr = pd.read_csv(\"/content/FMR_by_Zip.csv\")"],"metadata":{"id":"OkA-q52vECuT","executionInfo":{"status":"ok","timestamp":1723483834344,"user_tz":420,"elapsed":190,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":29,"outputs":[]},{"cell_type":"code","source":["fmr"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":441},"id":"z0E1C3wk_ac3","executionInfo":{"status":"ok","timestamp":1723483836964,"user_tz":420,"elapsed":219,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"178a1ef7-b17c-4686-885e-a8188d8ef60c"},"execution_count":30,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     ZIP Code Efficiency One-Bedroom Two-Bedroom Three-Bedroom Four-Bedroom  \\\n","0       90001     $1,534      $1,747      $2,222        $2,888       $3,170   \n","1       90002     $1,534      $1,747      $2,222        $2,888       $3,170   \n","2       90003     $1,534      $1,747      $2,222        $2,888       $3,170   \n","3       90004     $1,560      $1,780      $2,260        $2,940       $3,220   \n","4       90005     $1,660      $1,890      $2,400        $3,120       $3,420   \n","..        ...        ...         ...         ...           ...          ...   \n","468     93584     $1,534      $1,750      $2,222        $2,890       $3,170   \n","469     93586     $1,534      $1,750      $2,222        $2,890       $3,170   \n","470     93590     $1,534      $1,750      $2,222        $2,890       $3,170   \n","471     93591     $1,534      $1,747      $2,222        $2,888       $3,170   \n","472     93599     $1,534      $1,750      $2,222        $2,890       $3,170   \n","\n","    Two-Bedroom FMR Basis  \n","0                     FMR  \n","1                     FMR  \n","2                     FMR  \n","3                   SAFMR  \n","4                   SAFMR  \n","..                    ...  \n","468                   FMR  \n","469                   FMR  \n","470                   FMR  \n","471                   FMR  \n","472                   FMR  \n","\n","[473 rows x 7 columns]"],"text/html":["\n","  <div id=\"df-e11da54f-4a89-44f2-8c3b-12bfaf7cb5cc\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ZIP Code</th>\n","      <th>Efficiency</th>\n","      <th>One-Bedroom</th>\n","      <th>Two-Bedroom</th>\n","      <th>Three-Bedroom</th>\n","      <th>Four-Bedroom</th>\n","      <th>Two-Bedroom FMR Basis</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>90001</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>90002</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90003</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90004</td>\n","      <td>$1,560</td>\n","      <td>$1,780</td>\n","      <td>$2,260</td>\n","      <td>$2,940</td>\n","      <td>$3,220</td>\n","      <td>SAFMR</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90005</td>\n","      <td>$1,660</td>\n","      <td>$1,890</td>\n","      <td>$2,400</td>\n","      <td>$3,120</td>\n","      <td>$3,420</td>\n","      <td>SAFMR</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>468</th>\n","      <td>93584</td>\n","      <td>$1,534</td>\n","      <td>$1,750</td>\n","      <td>$2,222</td>\n","      <td>$2,890</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","    <tr>\n","      <th>469</th>\n","      <td>93586</td>\n","      <td>$1,534</td>\n","      <td>$1,750</td>\n","      <td>$2,222</td>\n","      <td>$2,890</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","    <tr>\n","      <th>470</th>\n","      <td>93590</td>\n","      <td>$1,534</td>\n","      <td>$1,750</td>\n","      <td>$2,222</td>\n","      <td>$2,890</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","    <tr>\n","      <th>471</th>\n","      <td>93591</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","    <tr>\n","      <th>472</th>\n","      <td>93599</td>\n","      <td>$1,534</td>\n","      <td>$1,750</td>\n","      <td>$2,222</td>\n","      <td>$2,890</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>473 rows × 7 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e11da54f-4a89-44f2-8c3b-12bfaf7cb5cc')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    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],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"One-Bedroom\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 67,\n        \"samples\": [\n          \"$2,030\",\n          \"$2,000\",\n          \"$2,330\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Two-Bedroom\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 76,\n        \"samples\": [\n          \"$2,280\",\n          \"$3,280\",\n          \"$2,800\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Three-Bedroom\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"$4,340\",\n          \"$2,888\",\n          \"$3,940\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Four-Bedroom\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 83,\n        \"samples\": [\n          \"$4,340\",\n          \"$3,170\",\n          \"$4,250\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Two-Bedroom FMR Basis\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"SAFMR\",\n          \"FMR\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":30}]},{"cell_type":"code","source":["merged_df = pd.merge(data, fmr, left_on='Zip', right_on='ZIP Code')"],"metadata":{"id":"SUeIOvVeECqj","executionInfo":{"status":"ok","timestamp":1723483840046,"user_tz":420,"elapsed":235,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":31,"outputs":[]},{"cell_type":"code","source":["merged_df.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OfjTgc8eCTgk","executionInfo":{"status":"ok","timestamp":1723483840662,"user_tz":420,"elapsed":3,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"35d2f415-7573-47d5-b3e4-c730f63af3bf"},"execution_count":32,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(64719, 19)"]},"metadata":{},"execution_count":32}]},{"cell_type":"code","source":["y = merged_df.iloc[0]\n","y"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":680},"id":"6eHvEmGLECil","executionInfo":{"status":"ok","timestamp":1723483842511,"user_tz":420,"elapsed":236,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"cd1d5a00-30af-4075-910f-81eb07ebc368"},"execution_count":33,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Notice Date              2023-02-09 00:00:00\n","Date Received                       2/9/2023\n","Eviction Category                   At-Fault\n","Cause                    Non-payment of rent\n","Address                      7245 Baek Court\n","City                                Van Nuys\n","Zip                                    91405\n","Bedroom                        Three-Bedroom\n","Notice Type                            3 Day\n","Apn                               2221019119\n","Council District                           6\n","Rent Owed                         $10,455.00\n","ZIP Code                               91405\n","Efficiency                            $1,534\n","One-Bedroom                           $1,747\n","Two-Bedroom                           $2,222\n","Three-Bedroom                         $2,888\n","Four-Bedroom                          $3,170\n","Two-Bedroom FMR Basis                    FMR\n","Name: 0, dtype: object"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Notice Date</th>\n","      <td>2023-02-09 00:00:00</td>\n","    </tr>\n","    <tr>\n","      <th>Date Received</th>\n","      <td>2/9/2023</td>\n","    </tr>\n","    <tr>\n","      <th>Eviction Category</th>\n","      <td>At-Fault</td>\n","    </tr>\n","    <tr>\n","      <th>Cause</th>\n","      <td>Non-payment of rent</td>\n","    </tr>\n","    <tr>\n","      <th>Address</th>\n","      <td>7245 Baek Court</td>\n","    </tr>\n","    <tr>\n","      <th>City</th>\n","      <td>Van Nuys</td>\n","    </tr>\n","    <tr>\n","      <th>Zip</th>\n","      <td>91405</td>\n","    </tr>\n","    <tr>\n","      <th>Bedroom</th>\n","      <td>Three-Bedroom</td>\n","    </tr>\n","    <tr>\n","      <th>Notice Type</th>\n","      <td>3 Day</td>\n","    </tr>\n","    <tr>\n","      <th>Apn</th>\n","      <td>2221019119</td>\n","    </tr>\n","    <tr>\n","      <th>Council District</th>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>Rent Owed</th>\n","      <td>$10,455.00</td>\n","    </tr>\n","    <tr>\n","      <th>ZIP Code</th>\n","      <td>91405</td>\n","    </tr>\n","    <tr>\n","      <th>Efficiency</th>\n","      <td>$1,534</td>\n","    </tr>\n","    <tr>\n","      <th>One-Bedroom</th>\n","      <td>$1,747</td>\n","    </tr>\n","    <tr>\n","      <th>Two-Bedroom</th>\n","      <td>$2,222</td>\n","    </tr>\n","    <tr>\n","      <th>Three-Bedroom</th>\n","      <td>$2,888</td>\n","    </tr>\n","    <tr>\n","      <th>Four-Bedroom</th>\n","      <td>$3,170</td>\n","    </tr>\n","    <tr>\n","      <th>Two-Bedroom FMR Basis</th>\n","      <td>FMR</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> object</label>"]},"metadata":{},"execution_count":33}]},{"cell_type":"code","source":["value=y[y['Bedroom']][1:]\n","value"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"id":"O7mySqQMBigD","executionInfo":{"status":"ok","timestamp":1723483845679,"user_tz":420,"elapsed":198,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"06a69b06-2358-4f34-f947-da23caf0846f"},"execution_count":34,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'2,888'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":34}]},{"cell_type":"code","source":["numeric_value = int(value.replace('$', '').replace(',', ''))\n","numeric_value"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ql_gg0PSBic2","executionInfo":{"status":"ok","timestamp":1723483846600,"user_tz":420,"elapsed":3,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"22866f51-e5c1-4b04-c7f6-27b2908b025e"},"execution_count":35,"outputs":[{"output_type":"execute_result","data":{"text/plain":["2888"]},"metadata":{},"execution_count":35}]},{"cell_type":"code","source":["fmr_value=[]\n","for x,y in merged_df.iterrows():\n","  value=y[y['Bedroom']][1:]\n","  numeric_value = int(value.replace('$', '').replace(',', ''))\n","  fmr_value.append(numeric_value)"],"metadata":{"id":"hoRE0l8dBiZv","executionInfo":{"status":"ok","timestamp":1723483854440,"user_tz":420,"elapsed":5747,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":36,"outputs":[]},{"cell_type":"code","source":["len(fmr_value)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rdUxeIpWBiWo","executionInfo":{"status":"ok","timestamp":1723483866263,"user_tz":420,"elapsed":205,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"7ccea886-355d-427e-d3f1-d3f958cb4f5d"},"execution_count":37,"outputs":[{"output_type":"execute_result","data":{"text/plain":["64719"]},"metadata":{},"execution_count":37}]},{"cell_type":"code","source":["merged_df['fmr_value']=fmr_value"],"metadata":{"id":"1a04B_z5BiTO","executionInfo":{"status":"ok","timestamp":1723483868997,"user_tz":420,"elapsed":209,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":38,"outputs":[]},{"cell_type":"code","source":["rent_owed=[]\n","for x,y in merged_df.iterrows():\n","  value=int(float(y['Rent Owed'].replace('$', '').replace(',', '')))\n","  rent_owed.append(value)"],"metadata":{"id":"tG2--033BiML","executionInfo":{"status":"ok","timestamp":1723483874820,"user_tz":420,"elapsed":4168,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":39,"outputs":[]},{"cell_type":"code","source":["len(rent_owed)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kBrmB5aCDN3s","executionInfo":{"status":"ok","timestamp":1723483904980,"user_tz":420,"elapsed":200,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"c8ef5c0a-380c-4260-dca1-92c34a19e69e"},"execution_count":40,"outputs":[{"output_type":"execute_result","data":{"text/plain":["64719"]},"metadata":{},"execution_count":40}]},{"cell_type":"code","source":["merged_df['rent_owed']=rent_owed"],"metadata":{"id":"IiMqxf4nDN1p","executionInfo":{"status":"ok","timestamp":1723483908120,"user_tz":420,"elapsed":196,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":41,"outputs":[]},{"cell_type":"code","source":["merged_df.to_csv(\"fmr_&_eviction_merged.csv\",index=False)"],"metadata":{"id":"oRSq0fL0DNxe","executionInfo":{"status":"ok","timestamp":1723483909647,"user_tz":420,"elapsed":629,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":42,"outputs":[]},{"cell_type":"code","source":["merged_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"0KohH2_KDNvb","executionInfo":{"status":"ok","timestamp":1723483910922,"user_tz":420,"elapsed":175,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"f14750ce-0043-4609-e333-b79f4c1227af"},"execution_count":43,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Notice Date Date Received Eviction Category  \\\n","0      2023-02-09      2/9/2023          At-Fault   \n","1      2023-02-24     2/24/2023          At-Fault   \n","2      2023-02-24     2/24/2023          At-Fault   \n","3      2023-02-25     2/24/2023          At-Fault   \n","4      2023-02-24     2/24/2023          At-Fault   \n","...           ...           ...               ...   \n","64714  2023-12-18    12/21/2023          At-Fault   \n","64715  2023-08-25     8/28/2023          At-Fault   \n","64716  2023-08-29     8/31/2023          At-Fault   \n","64717  2023-10-04     10/6/2023          At-Fault   \n","64718  2023-10-12    10/14/2023          At-Fault   \n","\n","                                                   Cause              Address  \\\n","0                                    Non-payment of rent      7245 Baek Court   \n","1      Non-payment of rent, Violation of the rental a...    14333 Roscoe Blvd   \n","2      Non-payment of rent, Violation of the rental a...  14333 W Roscoe Blvd   \n","3      Non-payment of rent, Violation of the rental a...    14333 Roscoe Blvd   \n","4      Non-payment of rent, Violation of the rental a...    14333 Roscoe Blvd   \n","...                                                  ...                  ...   \n","64714                                Non-payment of rent   21915 W SATICOY ST   \n","64715         Violation of the rental agreement or lease  11301 WILSHIRE BLVD   \n","64716  Violation of the rental agreement or lease, Di...  11301 WILSHIRE BLVD   \n","64717                                Non-payment of rent    9940 W COVELLO ST   \n","64718                                Non-payment of rent    9940 W COVELLO ST   \n","\n","                City    Zip        Bedroom Notice Type         Apn  ...  \\\n","0           Van Nuys  91405  Three-Bedroom       3 Day  2221019119  ...   \n","1      Panorama City  91405    Two-Bedroom       3 Day  2638026036  ...   \n","2      Panorama City  91405  Three-Bedroom       3 Day  2638026036  ...   \n","3      Panorama City  91405    Two-Bedroom       3 Day  2638026036  ...   \n","4      Panorama City  91405    One-Bedroom       3 Day  2638026036  ...   \n","...              ...    ...            ...         ...         ...  ...   \n","64714    CANOGA PARK  93063    Two-Bedroom       3 Day  2110014024  ...   \n","64715    Los Angeles  90073     Efficiency       3 Day  4365008903  ...   \n","64716    Los Angeles  90073    One-Bedroom      30 Day  4365008903  ...   \n","64717    Los Angeles  91504  Three-Bedroom       3 Day  2405019040  ...   \n","64718    Los Angeles  91504  Three-Bedroom       3 Day  2405019040  ...   \n","\n","        Rent Owed ZIP Code  Efficiency One-Bedroom Two-Bedroom Three-Bedroom  \\\n","0      $10,455.00    91405      $1,534      $1,747      $2,222        $2,888   \n","1       $2,310.00    91405      $1,534      $1,747      $2,222        $2,888   \n","2       $2,971.50    91405      $1,534      $1,747      $2,222        $2,888   \n","3       $1,925.00    91405      $1,534      $1,747      $2,222        $2,888   \n","4       $1,995.00    91405      $1,534      $1,747      $2,222        $2,888   \n","...           ...      ...         ...         ...         ...           ...   \n","64714   $1,164.00    93063      $1,880      $2,200      $2,670        $3,710   \n","64715       $0.00    90073      $2,300      $2,620      $3,330        $4,330   \n","64716       $0.00    90073      $2,300      $2,620      $3,330        $4,330   \n","64717   $3,800.00    91504      $1,900      $2,160      $2,750        $3,570   \n","64718   $3,800.00    91504      $1,900      $2,160      $2,750        $3,570   \n","\n","      Four-Bedroom Two-Bedroom FMR Basis fmr_value  rent_owed  \n","0           $3,170                   FMR      2888      10455  \n","1           $3,170                   FMR      2222       2310  \n","2           $3,170                   FMR      2888       2971  \n","3           $3,170                   FMR      2222       1925  \n","4           $3,170                   FMR      1747       1995  \n","...            ...                   ...       ...        ...  \n","64714       $4,360                 SAFMR      2670       1164  \n","64715       $4,750                 SAFMR      2300          0  \n","64716       $4,750                 SAFMR      2620          0  \n","64717       $3,920                 SAFMR      3570       3800  \n","64718       $3,920                 SAFMR      3570       3800  \n","\n","[64719 rows x 21 columns]"],"text/html":["\n","  <div id=\"df-0d449db4-de70-4daf-b798-76286c098a94\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Notice Date</th>\n","      <th>Date Received</th>\n","      <th>Eviction Category</th>\n","      <th>Cause</th>\n","      <th>Address</th>\n","      <th>City</th>\n","      <th>Zip</th>\n","      <th>Bedroom</th>\n","      <th>Notice Type</th>\n","      <th>Apn</th>\n","      <th>...</th>\n","      <th>Rent Owed</th>\n","      <th>ZIP Code</th>\n","      <th>Efficiency</th>\n","      <th>One-Bedroom</th>\n","      <th>Two-Bedroom</th>\n","      <th>Three-Bedroom</th>\n","      <th>Four-Bedroom</th>\n","      <th>Two-Bedroom FMR Basis</th>\n","      <th>fmr_value</th>\n","      <th>rent_owed</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2023-02-09</td>\n","      <td>2/9/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>7245 Baek Court</td>\n","      <td>Van Nuys</td>\n","      <td>91405</td>\n","      <td>Three-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2221019119</td>\n","      <td>...</td>\n","      <td>$10,455.00</td>\n","      <td>91405</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","      <td>2888</td>\n","      <td>10455</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2023-02-24</td>\n","      <td>2/24/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent, Violation of the rental a...</td>\n","      <td>14333 Roscoe Blvd</td>\n","      <td>Panorama City</td>\n","      <td>91405</td>\n","      <td>Two-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2638026036</td>\n","      <td>...</td>\n","      <td>$2,310.00</td>\n","      <td>91405</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","      <td>2222</td>\n","      <td>2310</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2023-02-24</td>\n","      <td>2/24/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent, Violation of the rental a...</td>\n","      <td>14333 W Roscoe Blvd</td>\n","      <td>Panorama City</td>\n","      <td>91405</td>\n","      <td>Three-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2638026036</td>\n","      <td>...</td>\n","      <td>$2,971.50</td>\n","      <td>91405</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","      <td>2888</td>\n","      <td>2971</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2023-02-25</td>\n","      <td>2/24/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent, Violation of the rental a...</td>\n","      <td>14333 Roscoe Blvd</td>\n","      <td>Panorama City</td>\n","      <td>91405</td>\n","      <td>Two-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2638026036</td>\n","      <td>...</td>\n","      <td>$1,925.00</td>\n","      <td>91405</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","      <td>2222</td>\n","      <td>1925</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2023-02-24</td>\n","      <td>2/24/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent, Violation of the rental a...</td>\n","      <td>14333 Roscoe Blvd</td>\n","      <td>Panorama City</td>\n","      <td>91405</td>\n","      <td>One-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2638026036</td>\n","      <td>...</td>\n","      <td>$1,995.00</td>\n","      <td>91405</td>\n","      <td>$1,534</td>\n","      <td>$1,747</td>\n","      <td>$2,222</td>\n","      <td>$2,888</td>\n","      <td>$3,170</td>\n","      <td>FMR</td>\n","      <td>1747</td>\n","      <td>1995</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>64714</th>\n","      <td>2023-12-18</td>\n","      <td>12/21/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>21915 W SATICOY ST</td>\n","      <td>CANOGA PARK</td>\n","      <td>93063</td>\n","      <td>Two-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2110014024</td>\n","      <td>...</td>\n","      <td>$1,164.00</td>\n","      <td>93063</td>\n","      <td>$1,880</td>\n","      <td>$2,200</td>\n","      <td>$2,670</td>\n","      <td>$3,710</td>\n","      <td>$4,360</td>\n","      <td>SAFMR</td>\n","      <td>2670</td>\n","      <td>1164</td>\n","    </tr>\n","    <tr>\n","      <th>64715</th>\n","      <td>2023-08-25</td>\n","      <td>8/28/2023</td>\n","      <td>At-Fault</td>\n","      <td>Violation of the rental agreement or lease</td>\n","      <td>11301 WILSHIRE BLVD</td>\n","      <td>Los Angeles</td>\n","      <td>90073</td>\n","      <td>Efficiency</td>\n","      <td>3 Day</td>\n","      <td>4365008903</td>\n","      <td>...</td>\n","      <td>$0.00</td>\n","      <td>90073</td>\n","      <td>$2,300</td>\n","      <td>$2,620</td>\n","      <td>$3,330</td>\n","      <td>$4,330</td>\n","      <td>$4,750</td>\n","      <td>SAFMR</td>\n","      <td>2300</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>64716</th>\n","      <td>2023-08-29</td>\n","      <td>8/31/2023</td>\n","      <td>At-Fault</td>\n","      <td>Violation of the rental agreement or lease, Di...</td>\n","      <td>11301 WILSHIRE BLVD</td>\n","      <td>Los Angeles</td>\n","      <td>90073</td>\n","      <td>One-Bedroom</td>\n","      <td>30 Day</td>\n","      <td>4365008903</td>\n","      <td>...</td>\n","      <td>$0.00</td>\n","      <td>90073</td>\n","      <td>$2,300</td>\n","      <td>$2,620</td>\n","      <td>$3,330</td>\n","      <td>$4,330</td>\n","      <td>$4,750</td>\n","      <td>SAFMR</td>\n","      <td>2620</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>64717</th>\n","      <td>2023-10-04</td>\n","      <td>10/6/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>9940 W COVELLO ST</td>\n","      <td>Los Angeles</td>\n","      <td>91504</td>\n","      <td>Three-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2405019040</td>\n","      <td>...</td>\n","      <td>$3,800.00</td>\n","      <td>91504</td>\n","      <td>$1,900</td>\n","      <td>$2,160</td>\n","      <td>$2,750</td>\n","      <td>$3,570</td>\n","      <td>$3,920</td>\n","      <td>SAFMR</td>\n","      <td>3570</td>\n","      <td>3800</td>\n","    </tr>\n","    <tr>\n","      <th>64718</th>\n","      <td>2023-10-12</td>\n","      <td>10/14/2023</td>\n","      <td>At-Fault</td>\n","      <td>Non-payment of rent</td>\n","      <td>9940 W COVELLO ST</td>\n","      <td>Los Angeles</td>\n","      <td>91504</td>\n","      <td>Three-Bedroom</td>\n","      <td>3 Day</td>\n","      <td>2405019040</td>\n","      <td>...</td>\n","      <td>$3,800.00</td>\n","      <td>91504</td>\n","      <td>$1,900</td>\n","      <td>$2,160</td>\n","      <td>$2,750</td>\n","      <td>$3,570</td>\n","      <td>$3,920</td>\n","      <td>SAFMR</td>\n","      <td>3570</td>\n","      <td>3800</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>64719 rows × 21 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0d449db4-de70-4daf-b798-76286c098a94')\"\n","            title=\"Convert this dataframe to an interactive 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"],"metadata":{"id":"cjp1lIwuHor8"}},{"cell_type":"code","source":["merged_df['fault']=at_fault"],"metadata":{"id":"_OVyUUpAprjn","executionInfo":{"status":"ok","timestamp":1723484015646,"user_tz":420,"elapsed":217,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":46,"outputs":[]},{"cell_type":"code","source":["merged_df[(merged_df['fault']=='No') & (merged_df['Eviction Category']=='At-Fault')][\"Cause\"].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":559},"id":"aJ4-IjnsprhB","executionInfo":{"status":"ok","timestamp":1723484023899,"user_tz":420,"elapsed":185,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"fbe16006-2395-4433-d603-79c53e74875c"},"execution_count":47,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Cause\n","Non-payment of rent                                                                                                                                                                                                                                 18327\n","Violation of the rental agreement or lease                                                                                                                                                                                                           1243\n","Violation of the rental agreement or lease, Disorderly behavior/disturbing the peace (Nuisance)                                                                                                                                                       347\n","Disorderly behavior/disturbing the peace (Nuisance)                                                                                                                                                                                                   249\n","Non-payment of rent, Violation of the rental agreement or lease                                                                                                                                                                                       178\n","                                                                                                                                                                                                                                                    ...  \n","Non-payment of rent, Violation of the rental agreement or lease, Damage to the rental unit, Refuse access to the apartment when requested in accordance with law                                                                                        1\n","Damage to the rental unit, Refuse access to the apartment when requested in accordance with law                                                                                                                                                         1\n","Non-payment of rent, Violation of the rental agreement or lease, Damage to the rental unit, Refusal to renew a lease or rental agreement of like terms and conditions                                                                                   1\n","Violation of the rental agreement or lease, Disorderly behavior/disturbing the peace (Nuisance), Failure to comply with a processed Tenant Habitability Plan                                                                                            1\n","Violation of the rental agreement or lease, Disorderly behavior/disturbing the peace (Nuisance), Refusal to renew a lease or rental agreement of like terms and conditions, Refuse access to the apartment when requested in accordance with law        1\n","Name: count, Length: 86, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    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<th>Non-payment of rent, Violation of the rental agreement or lease, Damage to the rental unit, Refuse access to the apartment when requested in accordance with law</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>Damage to the rental unit, Refuse access to the apartment when requested in accordance with law</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>Non-payment of rent, Violation of the rental agreement or lease, Damage to the rental unit, Refusal to renew a lease or rental agreement of like terms and conditions</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>Violation of the rental agreement or lease, Disorderly behavior/disturbing the peace (Nuisance), Failure to comply with a processed Tenant Habitability Plan</th>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>Violation of the rental agreement or lease, Disorderly behavior/disturbing the peace (Nuisance), Refusal to renew a lease or rental agreement of like terms and conditions, Refuse access to the apartment when requested in accordance with law</th>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>86 rows × 1 columns</p>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":47}]},{"cell_type":"markdown","source":["We observe that the main cause for eviction of tenants that were misclassified as 'At-Fault' in the original data set is 'Non-payment of Rent', which is absolutely wrong since their rent owed was less than the FMR for their specific bedroom apartment. There were 18327 cases of wrongful evictions for Non-payment of Rent alone. Therefore, we will further investigate metadata to find a connection for wrongful evictions."],"metadata":{"id":"sQE7Bi-mqCyQ"}},{"cell_type":"code","source":["falsely_accused = merged_df[(merged_df['fault']=='No') & (merged_df['Eviction Category']=='At-Fault') & (merged_df[\"Cause\"]==\"Non-payment of rent\")]"],"metadata":{"id":"XS4WrtPBpreM","executionInfo":{"status":"ok","timestamp":1723484594137,"user_tz":420,"elapsed":239,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":48,"outputs":[]},{"cell_type":"code","source":["falsely_accused.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"U-ESiGWGprcR","executionInfo":{"status":"ok","timestamp":1723484606060,"user_tz":420,"elapsed":213,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"5053f8a0-4363-4d63-9c57-8afdee35eb28"},"execution_count":49,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(18327, 22)"]},"metadata":{},"execution_count":49}]},{"cell_type":"code","source":["falsely_accused.to_csv(\"falsely_accused.csv\",index=False)"],"metadata":{"id":"Qw-_7PBjsCm9","executionInfo":{"status":"ok","timestamp":1723484837063,"user_tz":420,"elapsed":487,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":50,"outputs":[]},{"cell_type":"code","source":["falsely_accused['Zip'].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":490},"id":"Lk1BgqEEsCk4","executionInfo":{"status":"ok","timestamp":1723484921578,"user_tz":420,"elapsed":239,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"56b288f0-6824-4246-e692-d73ac334d5a6"},"execution_count":51,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Zip\n","90036    1889\n","91367    1437\n","90028     939\n","90014     848\n","90015     816\n","         ... \n","90248       2\n","90077       2\n","90230       2\n","90058       2\n","91340       1\n","Name: count, Length: 109, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","    </tr>\n","    <tr>\n","      <th>Zip</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>90036</th>\n","      <td>1889</td>\n","    </tr>\n","    <tr>\n","      <th>91367</th>\n","      <td>1437</td>\n","    </tr>\n","    <tr>\n","      <th>90028</th>\n","      <td>939</td>\n","    </tr>\n","    <tr>\n","      <th>90014</th>\n","      <td>848</td>\n","    </tr>\n","    <tr>\n","      <th>90015</th>\n","      <td>816</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>90248</th>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>90077</th>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>90230</th>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>90058</th>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>91340</th>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>109 rows × 1 columns</p>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":51}]},{"cell_type":"code","source":["median_salary = pd.read_csv(\"/content/LA_2022_median_salary.csv\")"],"metadata":{"id":"5_Jtw6RssCiv","executionInfo":{"status":"ok","timestamp":1723484944540,"user_tz":420,"elapsed":210,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":52,"outputs":[]},{"cell_type":"code","source":["merged_df2 = pd.merge(falsely_accused, median_salary, left_on='Zip', right_on='Zip Code')"],"metadata":{"id":"AvD2BRJFsCf8","executionInfo":{"status":"ok","timestamp":1723484954184,"user_tz":420,"elapsed":190,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":53,"outputs":[]},{"cell_type":"code","source":["zip_counts = merged_df2[\"Zip Code\"].value_counts()\n","\n","# Convert the Series to a DataFrame\n","zip_counts_df = zip_counts.reset_index()\n","\n","# Rename the columns for clarity\n","zip_counts_df.columns = ['Zip Code', 'Count']"],"metadata":{"id":"fn6iEKkXsCdg","executionInfo":{"status":"ok","timestamp":1723484963341,"user_tz":420,"elapsed":235,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":54,"outputs":[]},{"cell_type":"code","source":["zip_counts_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"3MrUgQUcsCa6","executionInfo":{"status":"ok","timestamp":1723484996594,"user_tz":420,"elapsed":236,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"1a099db3-e07e-476f-8528-89410bb63daa"},"execution_count":55,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     Zip Code  Count\n","0       90036   1889\n","1       91367   1437\n","2       90028    939\n","3       90014    848\n","4       90015    816\n","..        ...    ...\n","103     90248      2\n","104     90077      2\n","105     90230      2\n","106     90058      2\n","107     91340      1\n","\n","[108 rows x 2 columns]"],"text/html":["\n","  <div id=\"df-4de100ea-3763-4b12-b4b3-97bf2b5fc5db\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody 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\"samples\": [\n          23,\n          1889,\n          188\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":55}]},{"cell_type":"code","source":["median_salary"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"ab2dHFKgsCYI","executionInfo":{"status":"ok","timestamp":1723485015539,"user_tz":420,"elapsed":234,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"3e59d3de-feff-4fb1-9d7c-a04a33e84ff6"},"execution_count":56,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     Zip Code                                          Community  \\\n","0       90001    Los Angeles(South Los Angeles), Florence-Graham   \n","1       90002          Los Angeles(Southeast Los Angeles, Watts)   \n","2       90003  Los Angeles(South Los Angeles, Southeast Los A...   \n","3       90004  Los Angeles(Hancock Park, Rampart Village, Vir...   \n","4       90005  Los Angeles(Hancock Park, Koreatown, Wilshire ...   \n","..        ...                                                ...   \n","278     93551                   City Ranch,Leona Valley,Palmdale   \n","279     93552                                           Palmdale   \n","280     93553                         Juniper Hills, Pearblossom   \n","281     93563                              Pearblossom, Valyermo   \n","282     93591                          Lake Los Angeles,Palmdale   \n","\n","             2022 Estimated Median Income  \n","0                                 $57,698  \n","1                                 $54,221  \n","2                                 $51,275  \n","3                                 $58,420  \n","4                                 $49,226  \n","..                                    ...  \n","278                              $107,133  \n","279                               $85,890  \n","280                               $71,587  \n","281  No 2022 estimate ($210,600 in 2021)†  \n","282                               $57,826  \n","\n","[283 rows x 3 columns]"],"text/html":["\n","  <div id=\"df-241cc4d6-cad7-4826-96e3-8896c34c8ae9\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Zip Code</th>\n","      <th>Community</th>\n","      <th>2022 Estimated Median Income</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>90001</td>\n","      <td>Los Angeles(South Los Angeles), Florence-Graham</td>\n","      <td>$57,698</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>90002</td>\n","      <td>Los Angeles(Southeast Los Angeles, Watts)</td>\n","      <td>$54,221</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90003</td>\n","      <td>Los Angeles(South Los Angeles, Southeast Los A...</td>\n","      <td>$51,275</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90004</td>\n","      <td>Los Angeles(Hancock Park, Rampart Village, Vir...</td>\n","      <td>$58,420</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90005</td>\n","      <td>Los Angeles(Hancock Park, Koreatown, Wilshire ...</td>\n","      <td>$49,226</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>278</th>\n","      <td>93551</td>\n","      <td>City Ranch,Leona Valley,Palmdale</td>\n","      <td>$107,133</td>\n","    </tr>\n","    <tr>\n","      <th>279</th>\n","      <td>93552</td>\n","      <td>Palmdale</td>\n","      <td>$85,890</td>\n","    </tr>\n","    <tr>\n","      <th>280</th>\n","      <td>93553</td>\n","      <td>Juniper Hills, Pearblossom</td>\n","      <td>$71,587</td>\n","    </tr>\n","    <tr>\n","      <th>281</th>\n","      <td>93563</td>\n","      <td>Pearblossom, Valyermo</td>\n","      <td>No 2022 estimate ($210,600 in 2021)†</td>\n","    </tr>\n","    <tr>\n","      <th>282</th>\n","      <td>93591</td>\n","      <td>Lake Los Angeles,Palmdale</td>\n","      <td>$57,826</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>283 rows × 3 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-241cc4d6-cad7-4826-96e3-8896c34c8ae9')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path 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...                                                ...   \n","103     90248      2                                            Gardena   \n","104     90077      2         Los Angeles(Bel Air Estates, Beverly Glen)   \n","105     90230      2                                        Culver City   \n","106     90058      2         Los Angeles(Southeast Los Angeles), Vernon   \n","107     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  \n","0                        $97,583  \n","1                       $106,355  \n","2                        $57,258  \n","3                        $26,550  \n","4                        $61,959  \n","..                           ...  \n","103                      $75,865  \n","104                     $203,194  \n","105                     $107,870  \n","106                      $34,093  \n","107                      $71,664  \n","\n","[108 rows x 4 columns]"],"text/html":["\n","  <div 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...                                                ...   \n","103     90248      2                                            Gardena   \n","104     90077      2         Los Angeles(Bel Air Estates, Beverly Glen)   \n","105     90230      2                                        Culver City   \n","106     90058      2         Los Angeles(Southeast Los Angeles), Vernon   \n","107     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  salary  \n","0                        $97,583   97583  \n","1                       $106,355  106355  \n","2                        $57,258   57258  \n","3                        $26,550   26550  \n","4                        $61,959   61959  \n","..                           ...     ...  \n","103                      $75,865   75865  \n","104                     $203,194  203194  \n","105                     $107,870  107870  \n","106                      $34,093   34093  \n","107                      $71,664   71664  \n","\n","[108 rows x 5 columns]"],"text/html":["\n","  <div id=\"df-44410063-1522-47a3-86a2-6d58ef4ef40f\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Zip Code</th>\n","      <th>Count</th>\n","      <th>Community</th>\n","      <th>2022 Estimated Median Income</th>\n","      <th>salary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>90036</td>\n","      <td>1889</td>\n","      <td>Los Angeles(Fairfax, Melrose, Miracle Mile, Pa...</td>\n","      <td>$97,583</td>\n","      <td>97583</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>91367</td>\n","      <td>1437</td>\n","      <td>Los Angeles(Woodland Hills)</td>\n","      <td>$106,355</td>\n","      <td>106355</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90028</td>\n","      <td>939</td>\n","      <td>Los Angeles(Hollywood)</td>\n","      <td>$57,258</td>\n","      <td>57258</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90014</td>\n","      <td>848</td>\n","      <td>Los Angeles(Downtown Historic Core, Arts Distr...</td>\n","      <td>$26,550</td>\n","      <td>26550</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90015</td>\n","      <td>816</td>\n","      <td>Los Angeles(Dowtown Fashion District, South Pa...</td>\n","      <td>$61,959</td>\n","      <td>61959</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>90248</td>\n","      <td>2</td>\n","      <td>Gardena</td>\n","      <td>$75,865</td>\n","      <td>75865</td>\n","    </tr>\n","    <tr>\n","      <th>104</th>\n","      <td>90077</td>\n","      <td>2</td>\n","      <td>Los Angeles(Bel Air Estates, Beverly Glen)</td>\n","      <td>$203,194</td>\n","      <td>203194</td>\n","    </tr>\n","    <tr>\n","      <th>105</th>\n","      <td>90230</td>\n","      <td>2</td>\n","      <td>Culver City</td>\n","      <td>$107,870</td>\n","      <td>107870</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>90058</td>\n","      <td>2</td>\n","      <td>Los Angeles(Southeast Los Angeles), Vernon</td>\n","      <td>$34,093</td>\n","      <td>34093</td>\n","    </tr>\n","    <tr>\n","      <th>107</th>\n","      <td>91340</td>\n","      <td>1</td>\n","      <td>San Fernando,Los Angeles(Mission Hills, Pacoima)</td>\n","      <td>$71,664</td>\n","      <td>71664</td>\n","    </tr>\n","  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\"samples\": [\n          23,\n          1889,\n          188\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Community\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 97,\n        \"samples\": [\n          \"Los Angeles(San Pedro), Rancho Palos Verdes\",\n          \"Los Angeles(North Hollywood, Studio City, Toluca Lake, West Toluca Lake)\",\n          \"Beverly Hills\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 Estimated Median Income\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 108,\n        \"samples\": [\n          \"$50,616\",\n          \"$83,853\",\n          \"$61,959\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35179,\n        \"min\": 24853,\n        \"max\": 225256,\n        \"num_unique_values\": 108,\n        \"samples\": [\n          50616,\n          83853,\n          61959\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":65}]},{"cell_type":"markdown","source":["### Graphical visualizations for 'Wrongfully Evicted People'"],"metadata":{"id":"x4kA6w55wbHl"}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","plt.figure(figsize=(12, 6))\n","sns.barplot(x='Zip Code', y='Count', data=merged_df_3)\n","plt.xticks(rotation=90)\n","plt.title('Number of Wrongfully Evicted People by Zip Code')\n","plt.xlabel('Zip Code')\n","plt.ylabel('Count')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":524},"id":"_FiNb9ezuvvD","executionInfo":{"status":"ok","timestamp":1723485851406,"user_tz":420,"elapsed":2037,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"fe4028a3-4ebc-4d89-a7b6-24724d8c91c1"},"execution_count":66,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["The highest wrongfully evicted cases were recorded in the zip code - 90036, followed by the zip code 91367."],"metadata":{"id":"B8jkjA3Cw0pY"}},{"cell_type":"code","source":["import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","# Sort the DataFrame by 'Count' in descending order\n","df_sorted = merged_df_3.sort_values(by='Count', ascending=False)\n","\n","# Plotting the bar graph\n","plt.figure(figsize=(12, 6))\n","sns.barplot(x='Zip Code', y='salary', data=df_sorted, order=df_sorted['Zip Code'])\n","plt.title('Salary by Zip Code (Sorted by Number of Wrongfully Evicted People)')\n","plt.xlabel('Zip Code')\n","plt.ylabel('Salary')\n","plt.xticks(rotation=90)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":515},"id":"ikGNoW9Quvsh","executionInfo":{"status":"ok","timestamp":1723486535836,"user_tz":420,"elapsed":2069,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"b202fdc3-f85b-4382-86d4-8bc664710a38"},"execution_count":67,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["df = merged_df_3"],"metadata":{"id":"Eba3T2PiuvqI","executionInfo":{"status":"ok","timestamp":1723488793743,"user_tz":420,"elapsed":182,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":69,"outputs":[]},{"cell_type":"code","source":["!pip install geopy folium"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7pl8cYla8R26","executionInfo":{"status":"ok","timestamp":1723488893499,"user_tz":420,"elapsed":5700,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"129e6390-1b56-4da4-ce91-d1cbec5a9c30"},"execution_count":70,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: geopy in /usr/local/lib/python3.10/dist-packages (2.4.1)\n","Requirement already satisfied: folium in /usr/local/lib/python3.10/dist-packages (0.17.0)\n","Requirement already satisfied: geographiclib<3,>=1.52 in /usr/local/lib/python3.10/dist-packages (from geopy) (2.0)\n","Requirement already satisfied: branca>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from folium) (0.7.2)\n","Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.10/dist-packages (from folium) (3.1.4)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from folium) (1.26.4)\n","Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from folium) (2.32.3)\n","Requirement already satisfied: xyzservices in /usr/local/lib/python3.10/dist-packages (from folium) (2024.6.0)\n","Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2>=2.9->folium) (2.1.5)\n","Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (3.3.2)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (3.7)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2.0.7)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2024.7.4)\n"]}]},{"cell_type":"code","source":["from geopy.geocoders import Nominatim\n","import folium\n","\n","geolocator = Nominatim(user_agent=\"zip_code_locator\")\n","\n","def get_lat_long(zip_code):\n","    try:\n","        location = geolocator.geocode(zip_code)\n","        return (location.latitude, location.longitude)\n","    except:\n","        return (None, None)\n","\n","# Apply the geocoding function to each ZIP code\n","df['Coordinates'] = df['Zip Code'].apply(get_lat_long)\n","df[['Latitude', 'Longitude']] = pd.DataFrame(df['Coordinates'].tolist(), index=df.index)\n","\n","# Create a Folium map centered around Los Angeles\n","m = folium.Map(location=[34.0522, -118.2437], zoom_start=10)\n","\n","# Add markers to the map for each ZIP code\n","for _, row in df.iterrows():\n","    if row['Latitude'] and row['Longitude']:  # Check if the coordinates are valid\n","        folium.Marker(\n","            location=[row['Latitude'], row['Longitude']],\n","            popup=f\"ZIP Code: {row['Zip Code']}<br>salary: ${row['salary']:,}<br>Count: {row['Count']}\",\n","            icon=folium.Icon(color='blue', icon='info-sign')\n","        ).add_to(m)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_dVDEWxHuvoE","executionInfo":{"status":"ok","timestamp":1723489051491,"user_tz":420,"elapsed":55820,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"b3e03f00-7f30-40df-c5a6-68f3ae91bfc3"},"execution_count":71,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:urllib3.connectionpool:Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='nominatim.openstreetmap.org', port=443): Read timed out. (read timeout=1)\")': /search?q=90061&format=json&limit=1\n"]}]},{"cell_type":"code","source":["df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":719},"id":"_WOR0KB8uvl4","executionInfo":{"status":"ok","timestamp":1723489159883,"user_tz":420,"elapsed":223,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"b35c6211-c67e-4bab-8b7b-fc5b4efce5bf"},"execution_count":72,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     Zip Code  Count                                          Community  \\\n","0       90036   1889  Los Angeles(Fairfax, Melrose, Miracle Mile, Pa...   \n","1       91367   1437                        Los Angeles(Woodland Hills)   \n","2       90028    939                             Los Angeles(Hollywood)   \n","3       90014    848  Los Angeles(Downtown Historic Core, Arts Distr...   \n","4       90015    816  Los Angeles(Dowtown Fashion District, South Pa...   \n","..        ...    ...                                                ...   \n","103     90248      2                                            Gardena   \n","104     90077      2         Los Angeles(Bel Air Estates, Beverly Glen)   \n","105     90230      2                                        Culver City   \n","106     90058      2         Los Angeles(Southeast Los Angeles), Vernon   \n","107     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  salary  \\\n","0                        $97,583   97583   \n","1                       $106,355  106355   \n","2                        $57,258   57258   \n","3                        $26,550   26550   \n","4                        $61,959   61959   \n","..                           ...     ...   \n","103                      $75,865   75865   \n","104                     $203,194  203194   \n","105                     $107,870  107870   \n","106                      $34,093   34093   \n","107                      $71,664   71664   \n","\n","                                  Coordinates   Latitude   Longitude  \n","0              (38.032346375, 13.45267341875)  38.032346   13.452673  \n","1    (49.626673049999994, 11.264831535613922)  49.626673   11.264832  \n","2    (34.10068415948276, -118.32950242988505)  34.100684 -118.329502  \n","3                 (38.044439175, 13.52935805)  38.044439   13.529358  \n","4     (38.03304276885246, 14.024744513114753)  38.033043   14.024745  \n","..                                        ...        ...         ...  \n","103          (48.1360227, 22.632739766666667)  48.136023   22.632740  \n","104  (34.11533435636364, -118.44273997818182)  34.115334 -118.442740  \n","105    (58.73245799315069, 23.69288248219178)  58.732458   23.692882  \n","106  (34.00307681784232, -118.22808484605808)  34.003077 -118.228085  \n","107          (48.60687045, 2.227307618714705)  48.606870    2.227308  \n","\n","[108 rows x 8 columns]"],"text/html":["\n","  <div 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<td>(38.032346375, 13.45267341875)</td>\n","      <td>38.032346</td>\n","      <td>13.452673</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>91367</td>\n","      <td>1437</td>\n","      <td>Los Angeles(Woodland Hills)</td>\n","      <td>$106,355</td>\n","      <td>106355</td>\n","      <td>(49.626673049999994, 11.264831535613922)</td>\n","      <td>49.626673</td>\n","      <td>11.264832</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90028</td>\n","      <td>939</td>\n","      <td>Los Angeles(Hollywood)</td>\n","      <td>$57,258</td>\n","      <td>57258</td>\n","      <td>(34.10068415948276, -118.32950242988505)</td>\n","      <td>34.100684</td>\n","      <td>-118.329502</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90014</td>\n","      <td>848</td>\n","      <td>Los Angeles(Downtown Historic Core, Arts Distr...</td>\n","      <td>$26,550</td>\n","      <td>26550</td>\n","      <td>(38.044439175, 13.52935805)</td>\n","      <td>38.044439</td>\n","      <td>13.529358</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90015</td>\n","      <td>816</td>\n","      <td>Los Angeles(Dowtown Fashion District, South Pa...</td>\n","      <td>$61,959</td>\n","      <td>61959</td>\n","      <td>(38.03304276885246, 14.024744513114753)</td>\n","      <td>38.033043</td>\n","      <td>14.024745</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>90248</td>\n","      <td>2</td>\n","      <td>Gardena</td>\n","      <td>$75,865</td>\n","      <td>75865</td>\n","      <td>(48.1360227, 22.632739766666667)</td>\n","      <td>48.136023</td>\n","      <td>22.632740</td>\n","    </tr>\n","    <tr>\n","      <th>104</th>\n","      <td>90077</td>\n","      <td>2</td>\n","      <td>Los Angeles(Bel Air Estates, Beverly Glen)</td>\n","      <td>$203,194</td>\n","      <td>203194</td>\n","      <td>(34.11533435636364, -118.44273997818182)</td>\n","      <td>34.115334</td>\n","      <td>-118.442740</td>\n","    </tr>\n","    <tr>\n","      <th>105</th>\n","      <td>90230</td>\n","      <td>2</td>\n","      <td>Culver City</td>\n","      <td>$107,870</td>\n","      <td>107870</td>\n","      <td>(58.73245799315069, 23.69288248219178)</td>\n","      <td>58.732458</td>\n","      <td>23.692882</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>90058</td>\n","      <td>2</td>\n","      <td>Los Angeles(Southeast Los Angeles), Vernon</td>\n","      <td>$34,093</td>\n","      <td>34093</td>\n","      <td>(34.00307681784232, -118.22808484605808)</td>\n","      <td>34.003077</td>\n","      <td>-118.228085</td>\n","    </tr>\n","    <tr>\n","      <th>107</th>\n","      <td>91340</td>\n","      <td>1</td>\n","      <td>San Fernando,Los Angeles(Mission Hills, Pacoima)</td>\n","      <td>$71,664</td>\n","      <td>71664</td>\n","      <td>(48.60687045, 2.227307618714705)</td>\n","      <td>48.606870</td>\n","      <td>2.227308</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>108 rows × 8 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1e3518fd-cc0e-4bbc-b94b-aff1a233924a')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    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x 3 columns]"],"text/html":["\n","  <div id=\"df-00ad4c4d-3621-4c01-89d4-2c024d591e09\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>ZIP</th>\n","      <th>LAT</th>\n","      <th>LNG</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>601</td>\n","      <td>18.180555</td>\n","      <td>-66.749961</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>602</td>\n","      <td>18.361945</td>\n","      <td>-67.175597</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>603</td>\n","      <td>18.455183</td>\n","     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<th>33143</th>\n","      <td>99929</td>\n","      <td>56.370751</td>\n","      <td>-131.693301</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>33144 rows × 3 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-00ad4c4d-3621-4c01-89d4-2c024d591e09')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert 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Los Angeles(Southeast Los Angeles), Vernon   \n","107     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  salary  \\\n","0                        $97,583   97583   \n","1                       $106,355  106355   \n","2                        $57,258   57258   \n","3                        $26,550   26550   \n","4                        $61,959   61959   \n","..                           ...     ...   \n","103                      $75,865   75865   \n","104                     $203,194  203194   \n","105                     $107,870  107870   \n","106                      $34,093   34093   \n","107                      $71,664   71664   \n","\n","                                  Coordinates   Latitude   Longitude  \n","0              (38.032346375, 13.45267341875)  38.032346   13.452673  \n","1    (49.626673049999994, 11.264831535613922)  49.626673   11.264832  \n","2    (34.10068415948276, -118.32950242988505)  34.100684 -118.329502  \n","3                 (38.044439175, 13.52935805)  38.044439   13.529358  \n","4     (38.03304276885246, 14.024744513114753)  38.033043   14.024745  \n","..                                        ...        ...         ...  \n","103          (48.1360227, 22.632739766666667)  48.136023   22.632740  \n","104  (34.11533435636364, -118.44273997818182)  34.115334 -118.442740  \n","105    (58.73245799315069, 23.69288248219178)  58.732458   23.692882  \n","106  (34.00307681784232, -118.22808484605808)  34.003077 -118.228085  \n","107          (48.60687045, 2.227307618714705)  48.606870    2.227308  \n","\n","[108 rows x 8 columns]"],"text/html":["\n","  <div id=\"df-746f1ae8-7a44-44b6-bd83-a6a8b6e2c579\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","     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11.264831535613922)</td>\n","      <td>49.626673</td>\n","      <td>11.264832</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90028</td>\n","      <td>939</td>\n","      <td>Los Angeles(Hollywood)</td>\n","      <td>$57,258</td>\n","      <td>57258</td>\n","      <td>(34.10068415948276, -118.32950242988505)</td>\n","      <td>34.100684</td>\n","      <td>-118.329502</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90014</td>\n","      <td>848</td>\n","      <td>Los Angeles(Downtown Historic Core, Arts Distr...</td>\n","      <td>$26,550</td>\n","      <td>26550</td>\n","      <td>(38.044439175, 13.52935805)</td>\n","      <td>38.044439</td>\n","      <td>13.529358</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90015</td>\n","      <td>816</td>\n","      <td>Los Angeles(Dowtown Fashion District, South Pa...</td>\n","      <td>$61,959</td>\n","      <td>61959</td>\n","      <td>(38.03304276885246, 14.024744513114753)</td>\n","      <td>38.033043</td>\n","      <td>14.024745</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>90248</td>\n","      <td>2</td>\n","      <td>Gardena</td>\n","      <td>$75,865</td>\n","      <td>75865</td>\n","      <td>(48.1360227, 22.632739766666667)</td>\n","      <td>48.136023</td>\n","      <td>22.632740</td>\n","    </tr>\n","    <tr>\n","      <th>104</th>\n","      <td>90077</td>\n","      <td>2</td>\n","      <td>Los Angeles(Bel Air Estates, Beverly Glen)</td>\n","      <td>$203,194</td>\n","      <td>203194</td>\n","      <td>(34.11533435636364, -118.44273997818182)</td>\n","      <td>34.115334</td>\n","      <td>-118.442740</td>\n","    </tr>\n","    <tr>\n","      <th>105</th>\n","      <td>90230</td>\n","      <td>2</td>\n","      <td>Culver City</td>\n","      <td>$107,870</td>\n","      <td>107870</td>\n","      <td>(58.73245799315069, 23.69288248219178)</td>\n","      <td>58.732458</td>\n","      <td>23.692882</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>90058</td>\n","      <td>2</td>\n","      <td>Los Angeles(Southeast Los Angeles), Vernon</td>\n","      <td>$34,093</td>\n","      <td>34093</td>\n","      <td>(34.00307681784232, -118.22808484605808)</td>\n","      <td>34.003077</td>\n","      <td>-118.228085</td>\n","    </tr>\n","    <tr>\n","      <th>107</th>\n","      <td>91340</td>\n","      <td>1</td>\n","      <td>San Fernando,Los Angeles(Mission Hills, Pacoima)</td>\n","      <td>$71,664</td>\n","      <td>71664</td>\n","      <td>(48.60687045, 2.227307618714705)</td>\n","      <td>48.606870</td>\n","      <td>2.227308</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>108 rows × 8 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div 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Seth","userId":"08726240231801336788"}}},"execution_count":76,"outputs":[]},{"cell_type":"code","source":["merged_df_4"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":860},"id":"l__X8Yi-uvYq","executionInfo":{"status":"ok","timestamp":1723489363499,"user_tz":420,"elapsed":198,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"aa13cba5-2d24-434c-d9dd-46c28077f94f"},"execution_count":77,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     Zip Code  Count                                          Community  \\\n","0       90036   1889  Los Angeles(Fairfax, Melrose, Miracle Mile, Pa...   \n","1       91367   1437                        Los Angeles(Woodland Hills)   \n","2       90028    939                             Los Angeles(Hollywood)   \n","3       90014    848  Los Angeles(Downtown Historic Core, Arts Distr...   \n","4       90015    816  Los Angeles(Dowtown Fashion District, South Pa...   \n","..        ...    ...                                                ...   \n","103     90248      2                                            Gardena   \n","104     90077      2         Los Angeles(Bel Air Estates, Beverly Glen)   \n","105     90230      2                                        Culver City   \n","106     90058      2         Los Angeles(Southeast Los Angeles), Vernon   \n","107     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  salary  \\\n","0                        $97,583   97583   \n","1                       $106,355  106355   \n","2                        $57,258   57258   \n","3                        $26,550   26550   \n","4                        $61,959   61959   \n","..                           ...     ...   \n","103                      $75,865   75865   \n","104                     $203,194  203194   \n","105                     $107,870  107870   \n","106                      $34,093   34093   \n","107                      $71,664   71664   \n","\n","                                  Coordinates   Latitude   Longitude    ZIP  \\\n","0              (38.032346375, 13.45267341875)  38.032346   13.452673  90036   \n","1    (49.626673049999994, 11.264831535613922)  49.626673   11.264832  91367   \n","2    (34.10068415948276, -118.32950242988505)  34.100684 -118.329502  90028   \n","3                 (38.044439175, 13.52935805)  38.044439   13.529358  90014   \n","4     (38.03304276885246, 14.024744513114753)  38.033043   14.024745  90015   \n","..                                        ...        ...         ...    ...   \n","103          (48.1360227, 22.632739766666667)  48.136023   22.632740  90248   \n","104  (34.11533435636364, -118.44273997818182)  34.115334 -118.442740  90077   \n","105    (58.73245799315069, 23.69288248219178)  58.732458   23.692882  90230   \n","106  (34.00307681784232, -118.22808484605808)  34.003077 -118.228085  90058   \n","107          (48.60687045, 2.227307618714705)  48.606870    2.227308  91340   \n","\n","           LAT         LNG  \n","0    34.070410 -118.350411  \n","1    34.177311 -118.615704  \n","2    34.099912 -118.326912  \n","3    34.043146 -118.251746  \n","4    34.039378 -118.266300  \n","..         ...         ...  \n","103  33.878432 -118.284104  \n","104  34.108023 -118.456964  \n","105  33.997862 -118.393617  \n","106  34.002844 -118.216400  \n","107  34.286687 -118.435080  \n","\n","[108 rows x 11 columns]"],"text/html":["\n","  <div id=\"df-88cc6ffe-7b51-490c-9420-88b927e69746\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Zip Code</th>\n","      <th>Count</th>\n","      <th>Community</th>\n","      <th>2022 Estimated Median Income</th>\n","      <th>salary</th>\n","      <th>Coordinates</th>\n","      <th>Latitude</th>\n","      <th>Longitude</th>\n","      <th>ZIP</th>\n","      <th>LAT</th>\n","      <th>LNG</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>90036</td>\n","      <td>1889</td>\n","      <td>Los Angeles(Fairfax, Melrose, Miracle Mile, Pa...</td>\n","      <td>$97,583</td>\n","      <td>97583</td>\n","      <td>(38.032346375, 13.45267341875)</td>\n","      <td>38.032346</td>\n","      <td>13.452673</td>\n","      <td>90036</td>\n","      <td>34.070410</td>\n","      <td>-118.350411</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>91367</td>\n","      <td>1437</td>\n","      <td>Los Angeles(Woodland Hills)</td>\n","      <td>$106,355</td>\n","      <td>106355</td>\n","      <td>(49.626673049999994, 11.264831535613922)</td>\n","      <td>49.626673</td>\n","      <td>11.264832</td>\n","      <td>91367</td>\n","      <td>34.177311</td>\n","      <td>-118.615704</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90028</td>\n","      <td>939</td>\n","      <td>Los Angeles(Hollywood)</td>\n","      <td>$57,258</td>\n","      <td>57258</td>\n","      <td>(34.10068415948276, -118.32950242988505)</td>\n","      <td>34.100684</td>\n","      <td>-118.329502</td>\n","      <td>90028</td>\n","      <td>34.099912</td>\n","      <td>-118.326912</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90014</td>\n","      <td>848</td>\n","      <td>Los Angeles(Downtown Historic Core, Arts Distr...</td>\n","      <td>$26,550</td>\n","      <td>26550</td>\n","      <td>(38.044439175, 13.52935805)</td>\n","      <td>38.044439</td>\n","      <td>13.529358</td>\n","      <td>90014</td>\n","      <td>34.043146</td>\n","      <td>-118.251746</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90015</td>\n","      <td>816</td>\n","      <td>Los Angeles(Dowtown Fashion District, South Pa...</td>\n","      <td>$61,959</td>\n","      <td>61959</td>\n","      <td>(38.03304276885246, 14.024744513114753)</td>\n","      <td>38.033043</td>\n","      <td>14.024745</td>\n","      <td>90015</td>\n","      <td>34.039378</td>\n","      <td>-118.266300</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>90248</td>\n","      <td>2</td>\n","      <td>Gardena</td>\n","      <td>$75,865</td>\n","      <td>75865</td>\n","      <td>(48.1360227, 22.632739766666667)</td>\n","      <td>48.136023</td>\n","      <td>22.632740</td>\n","      <td>90248</td>\n","      <td>33.878432</td>\n","      <td>-118.284104</td>\n","    </tr>\n","    <tr>\n","      <th>104</th>\n","      <td>90077</td>\n","      <td>2</td>\n","      <td>Los Angeles(Bel Air Estates, Beverly Glen)</td>\n","      <td>$203,194</td>\n","      <td>203194</td>\n","      <td>(34.11533435636364, -118.44273997818182)</td>\n","      <td>34.115334</td>\n","      <td>-118.442740</td>\n","      <td>90077</td>\n","      <td>34.108023</td>\n","      <td>-118.456964</td>\n","    </tr>\n","    <tr>\n","      <th>105</th>\n","      <td>90230</td>\n","      <td>2</td>\n","      <td>Culver City</td>\n","      <td>$107,870</td>\n","      <td>107870</td>\n","      <td>(58.73245799315069, 23.69288248219178)</td>\n","      <td>58.732458</td>\n","      <td>23.692882</td>\n","      <td>90230</td>\n","      <td>33.997862</td>\n","      <td>-118.393617</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>90058</td>\n","      <td>2</td>\n","      <td>Los 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marker_251cf8ed08541c90d59cd4a7825ef9be.setIcon(icon_18721751c13081733038aeeac47aab6a);\n","        \n","    \n","        var popup_c9f7905bbd916222da59b92bf7fef179 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_235b785d6e45cdb656c895c78a0f47ba = $(`&lt;div id=&quot;html_235b785d6e45cdb656c895c78a0f47ba&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91601&lt;br&gt;salary: $73,735&lt;br&gt;Count: 322&lt;/div&gt;`)[0];\n","                popup_c9f7905bbd916222da59b92bf7fef179.setContent(html_235b785d6e45cdb656c895c78a0f47ba);\n","            \n","        \n","\n","        marker_251cf8ed08541c90d59cd4a7825ef9be.bindPopup(popup_c9f7905bbd916222da59b92bf7fef179)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_149121ff7985e8f651b97f3e7eaa6c1e = L.marker(\n","                [34.148617, -118.433298],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_7591a1bc2b726d1883603424427e085e = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_149121ff7985e8f651b97f3e7eaa6c1e.setIcon(icon_7591a1bc2b726d1883603424427e085e);\n","        \n","    \n","        var popup_617b0e841905d472024dbf17c6ce3299 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_c23d8e67874004bddd027beb3284cd76 = $(`&lt;div id=&quot;html_c23d8e67874004bddd027beb3284cd76&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91423&lt;br&gt;salary: $104,205&lt;br&gt;Count: 304&lt;/div&gt;`)[0];\n","                popup_617b0e841905d472024dbf17c6ce3299.setContent(html_c23d8e67874004bddd027beb3284cd76);\n","            \n","        \n","\n","        marker_149121ff7985e8f651b97f3e7eaa6c1e.bindPopup(popup_617b0e841905d472024dbf17c6ce3299)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_c840c8096e9c775756eb381bacefbb83 = L.marker(\n","                [34.045405, -118.240454],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_cf4c4de485ef7b9e8b45384f4ea56f7a = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_c840c8096e9c775756eb381bacefbb83.setIcon(icon_cf4c4de485ef7b9e8b45384f4ea56f7a);\n","        \n","    \n","        var popup_de4a0cd11e5d10ea9e6028d0a5ad31e5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_7920ad95727e6272bfa080b19c40ade1 = $(`&lt;div id=&quot;html_7920ad95727e6272bfa080b19c40ade1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90013&lt;br&gt;salary: $24,853&lt;br&gt;Count: 279&lt;/div&gt;`)[0];\n","                popup_de4a0cd11e5d10ea9e6028d0a5ad31e5.setContent(html_7920ad95727e6272bfa080b19c40ade1);\n","            \n","        \n","\n","        marker_c840c8096e9c775756eb381bacefbb83.bindPopup(popup_de4a0cd11e5d10ea9e6028d0a5ad31e5)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_087ba61424828856fc0756bf0f58edfd = L.marker(\n","                [33.942108, -118.417488],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_a240b8cd2c44d16cce5f7e99275d6ed1 = L.AwesomeMarkers.icon(\n","     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marker_087ba61424828856fc0756bf0f58edfd.bindPopup(popup_510563f7ae1440ef919ec597a1cf5df6)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_8b377ad6aae84b0ac1d21a9e2824a573 = L.marker(\n","                [34.065975, -118.238642],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_fa104559c5ffc7e7562a9ad79eaa1a86 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_8b377ad6aae84b0ac1d21a9e2824a573.setIcon(icon_fa104559c5ffc7e7562a9ad79eaa1a86);\n","        \n","    \n","        var popup_6546cb025354510b80744b3392861a39 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_b3d90aa1d5596c862e85de2fba19ac67 = $(`&lt;div id=&quot;html_b3d90aa1d5596c862e85de2fba19ac67&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90012&lt;br&gt;salary: $58,444&lt;br&gt;Count: 265&lt;/div&gt;`)[0];\n","                popup_6546cb025354510b80744b3392861a39.setContent(html_b3d90aa1d5596c862e85de2fba19ac67);\n","            \n","        \n","\n","        marker_8b377ad6aae84b0ac1d21a9e2824a573.bindPopup(popup_6546cb025354510b80744b3392861a39)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_899790828d5ffdff2faeac2417ae08bd = L.marker(\n","                [34.045421, -118.445873],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_79970b366730837c050cafbe46baa824 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_899790828d5ffdff2faeac2417ae08bd.setIcon(icon_79970b366730837c050cafbe46baa824);\n","        \n","    \n","        var popup_eae7cf67bad3f339524fcab54673428a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_e8f8d6f5ec1596cd37e0875549b83c80 = $(`&lt;div id=&quot;html_e8f8d6f5ec1596cd37e0875549b83c80&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90025&lt;br&gt;salary: $103,511&lt;br&gt;Count: 258&lt;/div&gt;`)[0];\n","                popup_eae7cf67bad3f339524fcab54673428a.setContent(html_e8f8d6f5ec1596cd37e0875549b83c80);\n","            \n","        \n","\n","        marker_899790828d5ffdff2faeac2417ae08bd.bindPopup(popup_eae7cf67bad3f339524fcab54673428a)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_6170d8870df2bad00e679c58d7f38aa8 = L.marker(\n","                [34.293338, -118.603118],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_fa5d7999355de8944db85ff7e92d7cf9 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_6170d8870df2bad00e679c58d7f38aa8.setIcon(icon_fa5d7999355de8944db85ff7e92d7cf9);\n","        \n","    \n","        var popup_c5105527319b81b5048f3a33ce963d58 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_0fd5fb2a8c63161ba8589cd170526bdb = $(`&lt;div id=&quot;html_0fd5fb2a8c63161ba8589cd170526bdb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91311&lt;br&gt;salary: 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marker_02eb6b8cadc1a05e336aa7741501262f.setIcon(icon_fc44e3dfc32386ea640022dba0cfa223);\n","        \n","    \n","        var popup_38a96c27a7a70b23aeb8f625f5dad50b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_0f2de018446caad749132735f6266321 = $(`&lt;div id=&quot;html_0f2de018446caad749132735f6266321&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91406&lt;br&gt;salary: $71,819&lt;br&gt;Count: 241&lt;/div&gt;`)[0];\n","                popup_38a96c27a7a70b23aeb8f625f5dad50b.setContent(html_0f2de018446caad749132735f6266321);\n","            \n","        \n","\n","        marker_02eb6b8cadc1a05e336aa7741501262f.bindPopup(popup_38a96c27a7a70b23aeb8f625f5dad50b)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_e08069cdb9c92652e8e67fa5014f36ef = L.marker(\n","                [34.147149, -118.463365],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_a2f3cc5652f0fc374c4acb0ed5ac0d11 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_e08069cdb9c92652e8e67fa5014f36ef.setIcon(icon_a2f3cc5652f0fc374c4acb0ed5ac0d11);\n","        \n","    \n","        var popup_a25dd87ff7d05e9d3041118dd9e9e51a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_6e8d5e991a5205a05302df93a219639e = $(`&lt;div id=&quot;html_6e8d5e991a5205a05302df93a219639e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91403&lt;br&gt;salary: $107,970&lt;br&gt;Count: 238&lt;/div&gt;`)[0];\n","                popup_a25dd87ff7d05e9d3041118dd9e9e51a.setContent(html_6e8d5e991a5205a05302df93a219639e);\n","            \n","        \n","\n","        marker_e08069cdb9c92652e8e67fa5014f36ef.bindPopup(popup_a25dd87ff7d05e9d3041118dd9e9e51a)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_eb16f4122b2e1b906bf71698d9e70b1b = L.marker(\n","                [34.15404, -118.593153],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_ed6192260fcdc5eecb0d5062c1c8f565 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_eb16f4122b2e1b906bf71698d9e70b1b.setIcon(icon_ed6192260fcdc5eecb0d5062c1c8f565);\n","        \n","    \n","        var popup_15e568c573feb5b13b4e6078e8abad53 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_671dba70fdad4236bb5ae6e498a03298 = $(`&lt;div id=&quot;html_671dba70fdad4236bb5ae6e498a03298&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91364&lt;br&gt;salary: $128,306&lt;br&gt;Count: 238&lt;/div&gt;`)[0];\n","                popup_15e568c573feb5b13b4e6078e8abad53.setContent(html_671dba70fdad4236bb5ae6e498a03298);\n","            \n","        \n","\n","        marker_eb16f4122b2e1b906bf71698d9e70b1b.bindPopup(popup_15e568c573feb5b13b4e6078e8abad53)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_c2548805f5baee24deedb3ba2c5618e6 = L.marker(\n","                [34.160236, -118.515472],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_8d27e015631b9074b01cdbc3a201db29 = L.AwesomeMarkers.icon(\n","    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marker_c2548805f5baee24deedb3ba2c5618e6.bindPopup(popup_e30ba630105cf700eb468ab6151fce21)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_0e7ed9faea760ef02512cb0f93e8d371 = L.marker(\n","                [34.200175, -118.540958],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_c6abfacf69420ec7449aa09ff62ca070 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_0e7ed9faea760ef02512cb0f93e8d371.setIcon(icon_c6abfacf69420ec7449aa09ff62ca070);\n","        \n","    \n","        var popup_4f5ef9c5dde4195f46fb7efc785bfb90 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_59fd0879b285dcd4b2aa8b0d5b0dc528 = $(`&lt;div id=&quot;html_59fd0879b285dcd4b2aa8b0d5b0dc528&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91335&lt;br&gt;salary: $74,632&lt;br&gt;Count: 223&lt;/div&gt;`)[0];\n","                popup_4f5ef9c5dde4195f46fb7efc785bfb90.setContent(html_59fd0879b285dcd4b2aa8b0d5b0dc528);\n","            \n","        \n","\n","        marker_0e7ed9faea760ef02512cb0f93e8d371.bindPopup(popup_4f5ef9c5dde4195f46fb7efc785bfb90)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_309c46c25a004d8a39fe02cb00287726 = L.marker(\n","                [34.088475, -118.325527],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_e0976e6d8eb68d8cddbb62f1c4989cc5 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_309c46c25a004d8a39fe02cb00287726.setIcon(icon_e0976e6d8eb68d8cddbb62f1c4989cc5);\n","        \n","    \n","        var popup_b72a91ef425cda3e96e89d606ef86121 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_904c2bafcdd0741f5929a824ef8c1b6b = $(`&lt;div id=&quot;html_904c2bafcdd0741f5929a824ef8c1b6b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90038&lt;br&gt;salary: $57,102&lt;br&gt;Count: 212&lt;/div&gt;`)[0];\n","                popup_b72a91ef425cda3e96e89d606ef86121.setContent(html_904c2bafcdd0741f5929a824ef8c1b6b);\n","            \n","        \n","\n","        marker_309c46c25a004d8a39fe02cb00287726.bindPopup(popup_b72a91ef425cda3e96e89d606ef86121)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_fa62015fc022bc612a5a4e757bad0a64 = L.marker(\n","                [34.052913, -118.26434],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_2048fbb6d80663b473293a5ef043cb28 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_fa62015fc022bc612a5a4e757bad0a64.setIcon(icon_2048fbb6d80663b473293a5ef043cb28);\n","        \n","    \n","        var popup_207473ad86a6cbce9075575c9671bb84 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_ded1f06b65696072427b381cf7f06afc = $(`&lt;div id=&quot;html_ded1f06b65696072427b381cf7f06afc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90017&lt;br&gt;salary: 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marker_7efcdee42d14af341d1d94589a10e332.setIcon(icon_4fee8fffceff2c592c6a83c611d97ece);\n","        \n","    \n","        var popup_462a83c8e97097672b8640bbaeff00f0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_b2c2449b306a6ce2b13137e84deecd54 = $(`&lt;div id=&quot;html_b2c2449b306a6ce2b13137e84deecd54&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90034&lt;br&gt;salary: $97,511&lt;br&gt;Count: 208&lt;/div&gt;`)[0];\n","                popup_462a83c8e97097672b8640bbaeff00f0.setContent(html_b2c2449b306a6ce2b13137e84deecd54);\n","            \n","        \n","\n","        marker_7efcdee42d14af341d1d94589a10e332.bindPopup(popup_462a83c8e97097672b8640bbaeff00f0)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_9fbe0989126ad592465825b79690eb8b = L.marker(\n","                [34.002028, -118.430656],\n","                {}\n","            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popup_53aeec6e549070fd3ad5602c422cbc5f.setContent(html_6669ee602844afba858280543fa77aab);\n","            \n","        \n","\n","        marker_9fbe0989126ad592465825b79690eb8b.bindPopup(popup_53aeec6e549070fd3ad5602c422cbc5f)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_f1148a0c096ce2fa5238a487d85a8a7f = L.marker(\n","                [34.224196, -118.632394],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_f0dc3edddfffc1476533640a5adab961 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_f1148a0c096ce2fa5238a487d85a8a7f.setIcon(icon_f0dc3edddfffc1476533640a5adab961);\n","        \n","    \n","        var popup_56e195f1ed8bdd27fcf5485605d335f1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_c122dacfdd9bf467b44876a49c02dfea = $(`&lt;div id=&quot;html_c122dacfdd9bf467b44876a49c02dfea&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91304&lt;br&gt;salary: $79,673&lt;br&gt;Count: 188&lt;/div&gt;`)[0];\n","                popup_56e195f1ed8bdd27fcf5485605d335f1.setContent(html_c122dacfdd9bf467b44876a49c02dfea);\n","            \n","        \n","\n","        marker_f1148a0c096ce2fa5238a487d85a8a7f.bindPopup(popup_56e195f1ed8bdd27fcf5485605d335f1)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_3565d136f0de1c7abcc27520e9efff0b = L.marker(\n","                [33.993396, -118.465193],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_4248b637dddf023f75e9d807ef1f7668 = L.AwesomeMarkers.icon(\n","     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marker_3565d136f0de1c7abcc27520e9efff0b.bindPopup(popup_97729e1aedb369876ff878321aa2ba16)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_9b05690c974f24a03579c418d61790f4 = L.marker(\n","                [33.731442, -118.278869],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_b72a7962162f57664ba00183bd989d84 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_9b05690c974f24a03579c418d61790f4.setIcon(icon_b72a7962162f57664ba00183bd989d84);\n","        \n","    \n","        var popup_55c95aa667c07665f6292b5b126b98ce = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_f96256d186d5532ae5f372017878702f = $(`&lt;div id=&quot;html_f96256d186d5532ae5f372017878702f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90731&lt;br&gt;salary: $69,019&lt;br&gt;Count: 181&lt;/div&gt;`)[0];\n","                popup_55c95aa667c07665f6292b5b126b98ce.setContent(html_f96256d186d5532ae5f372017878702f);\n","            \n","        \n","\n","        marker_9b05690c974f24a03579c418d61790f4.bindPopup(popup_55c95aa667c07665f6292b5b126b98ce)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_9cc7bd0279329db766317bfe26200383 = L.marker(\n","                [34.048041, -118.294177],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_795136d1945a74a3228a5abd5cc6d70e = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_9cc7bd0279329db766317bfe26200383.setIcon(icon_795136d1945a74a3228a5abd5cc6d70e);\n","        \n","    \n","        var popup_520dad9eaf54d95bd3f06137d8c5ba0c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_62ccc26d8cf9ca3afdd2c99f21a2ad16 = $(`&lt;div id=&quot;html_62ccc26d8cf9ca3afdd2c99f21a2ad16&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90006&lt;br&gt;salary: $47,599&lt;br&gt;Count: 172&lt;/div&gt;`)[0];\n","                popup_520dad9eaf54d95bd3f06137d8c5ba0c.setContent(html_62ccc26d8cf9ca3afdd2c99f21a2ad16);\n","            \n","        \n","\n","        marker_9cc7bd0279329db766317bfe26200383.bindPopup(popup_520dad9eaf54d95bd3f06137d8c5ba0c)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_8c9f1984d74e25b3a00f9dbcd3400077 = L.marker(\n","                [34.072924, -118.37271],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_e2f97fc2600109c0b7f06f0c66282829 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_8c9f1984d74e25b3a00f9dbcd3400077.setIcon(icon_e2f97fc2600109c0b7f06f0c66282829);\n","        \n","    \n","        var popup_e07c5bba1c8ab3a1625ea5ca3036d216 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_6bc20a9d6631187b654abcbeed765b8e = $(`&lt;div id=&quot;html_6bc20a9d6631187b654abcbeed765b8e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90048&lt;br&gt;salary: 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marker_124042da53d1c0055188827773481c08.setIcon(icon_f877c858065e4c31cc51c71e66c812c9);\n","        \n","    \n","        var popup_438c418e44d261a0a01fca9cea66422e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_16a6abc16cae32526f00701dfa91db8f = $(`&lt;div id=&quot;html_16a6abc16cae32526f00701dfa91db8f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91607&lt;br&gt;salary: $82,995&lt;br&gt;Count: 161&lt;/div&gt;`)[0];\n","                popup_438c418e44d261a0a01fca9cea66422e.setContent(html_16a6abc16cae32526f00701dfa91db8f);\n","            \n","        \n","\n","        marker_124042da53d1c0055188827773481c08.bindPopup(popup_438c418e44d261a0a01fca9cea66422e)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_ebb7fb62f3d4b1df8c474e84feb1cddf = L.marker(\n","                [34.199824, -118.447609],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_5935052d820073cdcaf0e7186a862ef9 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_ebb7fb62f3d4b1df8c474e84feb1cddf.setIcon(icon_5935052d820073cdcaf0e7186a862ef9);\n","        \n","    \n","        var popup_26f0da3ff99182a2ac907e2df8ecda22 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_3cde63665b6d9d9f3fcc91e05a2f37ad = $(`&lt;div id=&quot;html_3cde63665b6d9d9f3fcc91e05a2f37ad&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91405&lt;br&gt;salary: $58,365&lt;br&gt;Count: 159&lt;/div&gt;`)[0];\n","                popup_26f0da3ff99182a2ac907e2df8ecda22.setContent(html_3cde63665b6d9d9f3fcc91e05a2f37ad);\n","            \n","        \n","\n","        marker_ebb7fb62f3d4b1df8c474e84feb1cddf.bindPopup(popup_26f0da3ff99182a2ac907e2df8ecda22)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_c9e9b80abc08d5c00e058d067f97c0a7 = L.marker(\n","                [34.198292, -118.600913],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_f88b346cf0255b439d45e10ba9a810e7 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_c9e9b80abc08d5c00e058d067f97c0a7.setIcon(icon_f88b346cf0255b439d45e10ba9a810e7);\n","        \n","    \n","        var popup_30f4c67e10e578e9749f6f3529946832 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_be595dfe0e427ecef67f355921cec3d8 = $(`&lt;div id=&quot;html_be595dfe0e427ecef67f355921cec3d8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91303&lt;br&gt;salary: $77,437&lt;br&gt;Count: 156&lt;/div&gt;`)[0];\n","                popup_30f4c67e10e578e9749f6f3529946832.setContent(html_be595dfe0e427ecef67f355921cec3d8);\n","            \n","        \n","\n","        marker_c9e9b80abc08d5c00e058d067f97c0a7.bindPopup(popup_30f4c67e10e578e9749f6f3529946832)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_480643a6bea910af5dae065196e24ec7 = L.marker(\n","                [34.178522, -118.459234],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_fb3a706f922b8836f4a0d23bd5cb19ca = L.AwesomeMarkers.icon(\n","     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marker_480643a6bea910af5dae065196e24ec7.bindPopup(popup_8610128074916b7c88ecbbf1d0f4c8c1)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_9618bb61f05d4cccb2c795af0be7c36d = L.marker(\n","                [34.080017, -118.262643],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_350fa609a626f4c21cd663392187a450 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_9618bb61f05d4cccb2c795af0be7c36d.setIcon(icon_350fa609a626f4c21cd663392187a450);\n","        \n","    \n","        var popup_b82f1a0675bbfff49c98dec87ada685a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_4b64345edb4d48d42213cc4f943494d4 = $(`&lt;div id=&quot;html_4b64345edb4d48d42213cc4f943494d4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90026&lt;br&gt;salary: $80,549&lt;br&gt;Count: 153&lt;/div&gt;`)[0];\n","                popup_b82f1a0675bbfff49c98dec87ada685a.setContent(html_4b64345edb4d48d42213cc4f943494d4);\n","            \n","        \n","\n","        marker_9618bb61f05d4cccb2c795af0be7c36d.bindPopup(popup_b82f1a0675bbfff49c98dec87ada685a)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_e8d42abf3beb570fafe366ee54334ed2 = L.marker(\n","                [34.238208, -118.55029],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_665941335ecb7ba4e2672bbf66191d5c = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, 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L.marker(\n","                [34.062148, -118.315889],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_c7ea69239b9b7644921c58e34e0c10ce = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_608c04b5fb93d78fbd3accf482418208.setIcon(icon_c7ea69239b9b7644921c58e34e0c10ce);\n","        \n","    \n","        var popup_ab2fa069d3eae105fef2db5702bc0ddd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_c83f6d7619cf337c1b2d3c43a8ae431c = $(`&lt;div id=&quot;html_c83f6d7619cf337c1b2d3c43a8ae431c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90010&lt;br&gt;salary: 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marker_759bf855b219534aa35368c468ea870f.setIcon(icon_e6a52b30e8967fb208220ff7c23eb9dd);\n","        \n","    \n","        var popup_d5c4ae2c4f58622266b99da7df117fca = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_3ca620fbc30131a65199f1b90dcea5ad = $(`&lt;div id=&quot;html_3ca620fbc30131a65199f1b90dcea5ad&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91352&lt;br&gt;salary: $68,132&lt;br&gt;Count: 143&lt;/div&gt;`)[0];\n","                popup_d5c4ae2c4f58622266b99da7df117fca.setContent(html_3ca620fbc30131a65199f1b90dcea5ad);\n","            \n","        \n","\n","        marker_759bf855b219534aa35368c468ea870f.bindPopup(popup_d5c4ae2c4f58622266b99da7df117fca)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_19a91a2e7d56ba03a24eb689e5b6f680 = L.marker(\n","                [34.326584, -118.382261],\n","                {}\n","            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popup_698f63bbc4ef98d6d37b79bc2ecc862c.setContent(html_03f7c4bc9920310d57a965b1fa279a69);\n","            \n","        \n","\n","        marker_19a91a2e7d56ba03a24eb689e5b6f680.bindPopup(popup_698f63bbc4ef98d6d37b79bc2ecc862c)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_6a3178f4dc177475ba7d700da9067065 = L.marker(\n","                [33.976582, -118.455222],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_94ad0d3d50161327eeec9ca409a84543 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_6a3178f4dc177475ba7d700da9067065.setIcon(icon_94ad0d3d50161327eeec9ca409a84543);\n","        \n","    \n","        var popup_0f8c01dcd84b4aabdc50ff3f73d346dd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_7ca67cb09d03be2167f586a8ca5fd2f8 = $(`&lt;div id=&quot;html_7ca67cb09d03be2167f586a8ca5fd2f8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90292&lt;br&gt;salary: $136,854&lt;br&gt;Count: 132&lt;/div&gt;`)[0];\n","                popup_0f8c01dcd84b4aabdc50ff3f73d346dd.setContent(html_7ca67cb09d03be2167f586a8ca5fd2f8);\n","            \n","        \n","\n","        marker_6a3178f4dc177475ba7d700da9067065.bindPopup(popup_0f8c01dcd84b4aabdc50ff3f73d346dd)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_5b79a5b3297a0607c9ca59a3f3687c91 = L.marker(\n","                [34.237912, -118.482306],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_a1be18536ab673a1689f619100b1d9a9 = L.AwesomeMarkers.icon(\n","    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marker_5b79a5b3297a0607c9ca59a3f3687c91.bindPopup(popup_4cb2c6f3a6512fee956b2865b5f40ad1)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_59a99c0c80f279c52d17a5a8affa35d0 = L.marker(\n","                [33.975414, -118.41699],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_53cb97edf93fd3d101f16fd937e5e150 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_59a99c0c80f279c52d17a5a8affa35d0.setIcon(icon_53cb97edf93fd3d101f16fd937e5e150);\n","        \n","    \n","        var popup_aee405bde1d5784a6c8344eb03241c36 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_f189d6377d96e8913cf726542042952e = $(`&lt;div id=&quot;html_f189d6377d96e8913cf726542042952e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90094&lt;br&gt;salary: $156,536&lt;br&gt;Count: 127&lt;/div&gt;`)[0];\n","                popup_aee405bde1d5784a6c8344eb03241c36.setContent(html_f189d6377d96e8913cf726542042952e);\n","            \n","        \n","\n","        marker_59a99c0c80f279c52d17a5a8affa35d0.bindPopup(popup_aee405bde1d5784a6c8344eb03241c36)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_405337d7ec1e792f2e82af607faee23b = L.marker(\n","                [34.150818, -118.368159],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_a32852081e6d780189327c42cf854631 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, 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L.marker(\n","                [34.00709, -118.258681],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_0345b7b8696c9c784522f1ed20644b7d = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_48676ce654c7ea62d030463ab5b99f24.setIcon(icon_0345b7b8696c9c784522f1ed20644b7d);\n","        \n","    \n","        var popup_3842e566c88db303038d24788ae6b1bb = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_93eed0c1fbf15a272a1bf5b4f3a93919 = $(`&lt;div id=&quot;html_93eed0c1fbf15a272a1bf5b4f3a93919&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90011&lt;br&gt;salary: 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marker_6b8c39b6274dfa1ae8faa19b34ffeee6.setIcon(icon_afae2f6f7a94df1a36304242d502b73b);\n","        \n","    \n","        var popup_e691c2b74086e29164aa6648aa970d1b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_2fa2a110351c60e28c4efe0b4db9027b = $(`&lt;div id=&quot;html_2fa2a110351c60e28c4efe0b4db9027b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90061&lt;br&gt;salary: $56,837&lt;br&gt;Count: 112&lt;/div&gt;`)[0];\n","                popup_e691c2b74086e29164aa6648aa970d1b.setContent(html_2fa2a110351c60e28c4efe0b4db9027b);\n","            \n","        \n","\n","        marker_6b8c39b6274dfa1ae8faa19b34ffeee6.bindPopup(popup_e691c2b74086e29164aa6648aa970d1b)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_39eef3bb15a87abfda4558fa80d19a21 = L.marker(\n","                [34.207341, -118.400973],\n","                {}\n","            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popup_40ab4ca30e17847671d6dae795b6c0c4.setContent(html_b6409fcde3ca75e9146125aa77848199);\n","            \n","        \n","\n","        marker_39eef3bb15a87abfda4558fa80d19a21.bindPopup(popup_40ab4ca30e17847671d6dae795b6c0c4)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_854861e55c053b5282cb85f800c1f7ce = L.marker(\n","                [34.127194, -118.295647],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_da6f40f419c2b8d84dbceacdbdcaa414 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_854861e55c053b5282cb85f800c1f7ce.setIcon(icon_da6f40f419c2b8d84dbceacdbdcaa414);\n","        \n","    \n","        var popup_9025172710079db321c7cf7c13894616 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_501e04668f06d8a3470caad2435aaa6d = $(`&lt;div id=&quot;html_501e04668f06d8a3470caad2435aaa6d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90027&lt;br&gt;salary: $86,826&lt;br&gt;Count: 106&lt;/div&gt;`)[0];\n","                popup_9025172710079db321c7cf7c13894616.setContent(html_501e04668f06d8a3470caad2435aaa6d);\n","            \n","        \n","\n","        marker_854861e55c053b5282cb85f800c1f7ce.bindPopup(popup_9025172710079db321c7cf7c13894616)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_fdbdcae2da87cef84b06393a1e2a0e82 = L.marker(\n","                [34.049841, -118.33846],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_6bc03fcf12db768401ba55b562f9bca5 = L.AwesomeMarkers.icon(\n","      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marker_fdbdcae2da87cef84b06393a1e2a0e82.bindPopup(popup_beb035444814d560c01fe253921bcb17)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_374ec0b9269137eee56c4bd2ab4d4631 = L.marker(\n","                [33.779284, -118.261723],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_6d05b131cf58cff6bcff1d667d556390 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_374ec0b9269137eee56c4bd2ab4d4631.setIcon(icon_6d05b131cf58cff6bcff1d667d556390);\n","        \n","    \n","        var popup_a55d85aa314653bf39d1210c8cec210f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_f4614513999e1b3bdf29db4ed036f387 = $(`&lt;div id=&quot;html_f4614513999e1b3bdf29db4ed036f387&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90744&lt;br&gt;salary: $58,869&lt;br&gt;Count: 103&lt;/div&gt;`)[0];\n","                popup_a55d85aa314653bf39d1210c8cec210f.setContent(html_f4614513999e1b3bdf29db4ed036f387);\n","            \n","        \n","\n","        marker_374ec0b9269137eee56c4bd2ab4d4631.bindPopup(popup_a55d85aa314653bf39d1210c8cec210f)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_32f8be32afd1bc90344a9f895a9cadd8 = L.marker(\n","                [34.222506, -118.444689],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_6c58a6f0b77227bb3a9f7b5fea8d13ba = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, 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L.marker(\n","                [34.089848, -118.294661],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_43b7475e1eb1de2833ddc23a7514b830 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_fb27cfeb3847bdec19d39a831b5d4718.setIcon(icon_43b7475e1eb1de2833ddc23a7514b830);\n","        \n","    \n","        var popup_43111ae7a4e4cd3199f49816da05938d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_84aa87f30ffcc62e4eae232cd636adcc = $(`&lt;div id=&quot;html_84aa87f30ffcc62e4eae232cd636adcc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90029&lt;br&gt;salary: 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marker_50617baa8e0ca0ada0e59a13f491c098.setIcon(icon_32409385728140d58b42999217c0000d);\n","        \n","    \n","        var popup_b74dce88148016fd136d9e7d36469ba1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_2d53f2faf43e4bf96e027447873eabd3 = $(`&lt;div id=&quot;html_2d53f2faf43e4bf96e027447873eabd3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90293&lt;br&gt;salary: $124,688&lt;br&gt;Count: 92&lt;/div&gt;`)[0];\n","                popup_b74dce88148016fd136d9e7d36469ba1.setContent(html_2d53f2faf43e4bf96e027447873eabd3);\n","            \n","        \n","\n","        marker_50617baa8e0ca0ada0e59a13f491c098.bindPopup(popup_b74dce88148016fd136d9e7d36469ba1)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_f2542c608e1f63778df5c2b90c1b8661 = L.marker(\n","                [33.964131, -118.272783],\n","                {}\n","            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popup_c9cb340866213d4561b54cac4e6945df.setContent(html_74dde61fdd597f87d9ce69cf542d7e5d);\n","            \n","        \n","\n","        marker_f2542c608e1f63778df5c2b90c1b8661.bindPopup(popup_c9cb340866213d4561b54cac4e6945df)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_d003115c916d9103d26fa4ffcc79ee68 = L.marker(\n","                [34.065723, -118.434969],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_7c050bda4f579e91a0fce7f0f701bfad = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_d003115c916d9103d26fa4ffcc79ee68.setIcon(icon_7c050bda4f579e91a0fce7f0f701bfad);\n","        \n","    \n","        var popup_5b026cd7b8fcb80021f11546dca32a17 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_7e1a4746343ca6f3418d076cd72ed6de = $(`&lt;div id=&quot;html_7e1a4746343ca6f3418d076cd72ed6de&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90024&lt;br&gt;salary: $74,852&lt;br&gt;Count: 85&lt;/div&gt;`)[0];\n","                popup_5b026cd7b8fcb80021f11546dca32a17.setContent(html_7e1a4746343ca6f3418d076cd72ed6de);\n","            \n","        \n","\n","        marker_d003115c916d9103d26fa4ffcc79ee68.bindPopup(popup_5b026cd7b8fcb80021f11546dca32a17)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_7c2b4cd6c6d3ca74b3efba6736d5ac92 = L.marker(\n","                [33.952725, -118.291904],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_787d029ca377640a8d44c059ea1107c0 = L.AwesomeMarkers.icon(\n","      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marker_7c2b4cd6c6d3ca74b3efba6736d5ac92.bindPopup(popup_6b3382bb6675c0b4cd284298615addd1)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_f4db354381aa6920573235d92f34abb3 = L.marker(\n","                [34.028331, -118.354338],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_2a330a4427914774c38d280c5e577818 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_f4db354381aa6920573235d92f34abb3.setIcon(icon_2a330a4427914774c38d280c5e577818);\n","        \n","    \n","        var popup_2c035e5721a921433006ade3292f29a0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_18f4e4bedd09e731e93daa4f0705b831 = $(`&lt;div id=&quot;html_18f4e4bedd09e731e93daa4f0705b831&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90016&lt;br&gt;salary: $63,090&lt;br&gt;Count: 83&lt;/div&gt;`)[0];\n","                popup_2c035e5721a921433006ade3292f29a0.setContent(html_18f4e4bedd09e731e93daa4f0705b831);\n","            \n","        \n","\n","        marker_f4db354381aa6920573235d92f34abb3.bindPopup(popup_2c035e5721a921433006ade3292f29a0)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_2b30263dd24f85dad6e570caf093f39c = L.marker(\n","                [34.281486, -118.556005],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_7b266d4205d9ce4db78ab0705c73e4fd = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, 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L.marker(\n","                [34.140822, -118.392864],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_0a523876b9f1efd5e147135d3f68c147 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_e3b3565b4fd63800738e3869a194b6ad.setIcon(icon_0a523876b9f1efd5e147135d3f68c147);\n","        \n","    \n","        var popup_7f4b9e37c3770c75870101de89985d2a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_c3140c455af145992b7e271be20c2ada = $(`&lt;div id=&quot;html_c3140c455af145992b7e271be20c2ada&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91604&lt;br&gt;salary: 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marker_f2321d870389761fdd8ef5bbaf5e0c16.setIcon(icon_6d72d52a891d66f2638076d3a4cbe8c4);\n","        \n","    \n","        var popup_63e84b0f9723bc57d26af850c6eda143 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_ccfbec0355aeec3334f7550c3c939657 = $(`&lt;div id=&quot;html_ccfbec0355aeec3334f7550c3c939657&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91344&lt;br&gt;salary: $111,897&lt;br&gt;Count: 80&lt;/div&gt;`)[0];\n","                popup_63e84b0f9723bc57d26af850c6eda143.setContent(html_ccfbec0355aeec3334f7550c3c939657);\n","            \n","        \n","\n","        marker_f2321d870389761fdd8ef5bbaf5e0c16.bindPopup(popup_63e84b0f9723bc57d26af850c6eda143)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_bfdc27788e3e3ca21e314558fa9ae95e = L.marker(\n","                [34.029036, -118.23787],\n","                {}\n","            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popup_b02330ee269e6bacd0f98523b58b282c.setContent(html_d82b17fcdc4ce0e40900ce6a057a652e);\n","            \n","        \n","\n","        marker_bfdc27788e3e3ca21e314558fa9ae95e.bindPopup(popup_b02330ee269e6bacd0f98523b58b282c)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_958092d9a11f518c05ffbf0a8aedb18a = L.marker(\n","                [34.085784, -118.206666],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_65d913be41b09bf642c047a3f2a98dd0 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_958092d9a11f518c05ffbf0a8aedb18a.setIcon(icon_65d913be41b09bf642c047a3f2a98dd0);\n","        \n","    \n","        var popup_0c000728eff733976651a105dd01cfed = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_ff69220015a7cd5a106910a3c9e39f79 = $(`&lt;div id=&quot;html_ff69220015a7cd5a106910a3c9e39f79&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90031&lt;br&gt;salary: $59,889&lt;br&gt;Count: 78&lt;/div&gt;`)[0];\n","                popup_0c000728eff733976651a105dd01cfed.setContent(html_ff69220015a7cd5a106910a3c9e39f79);\n","            \n","        \n","\n","        marker_958092d9a11f518c05ffbf0a8aedb18a.bindPopup(popup_0c000728eff733976651a105dd01cfed)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_d1c0c5b3fed3c4a0aee39261910ff9eb = L.marker(\n","                [34.112272, -118.225496],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_3ed8cc04cbb8cef8d12e9797e28f835f = L.AwesomeMarkers.icon(\n","      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marker_d1c0c5b3fed3c4a0aee39261910ff9eb.bindPopup(popup_91e61ebb23f31382ee365d74f0cfc6a6)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_adc00b13df080ad2cb7759555c38b0af = L.marker(\n","                [34.129772, -118.330989],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_f0a1be14cb89614fc80e8f1a2de2e1ff = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_adc00b13df080ad2cb7759555c38b0af.setIcon(icon_f0a1be14cb89614fc80e8f1a2de2e1ff);\n","        \n","    \n","        var popup_66ab2662fc7a956e458651e88b74dc61 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_823406f3f85c79cbf7cef046334c44e9 = $(`&lt;div id=&quot;html_823406f3f85c79cbf7cef046334c44e9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90068&lt;br&gt;salary: $97,151&lt;br&gt;Count: 77&lt;/div&gt;`)[0];\n","                popup_66ab2662fc7a956e458651e88b74dc61.setContent(html_823406f3f85c79cbf7cef046334c44e9);\n","            \n","        \n","\n","        marker_adc00b13df080ad2cb7759555c38b0af.bindPopup(popup_66ab2662fc7a956e458651e88b74dc61)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_b1e14ba5591670cb30f3109daaf5f222 = L.marker(\n","                [34.09254, -118.491064],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_fda4d0a42da69669ec7d14d3308a9eb1 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, 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L.marker(\n","                [34.155097, -118.547553],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_93ea52b1d0027f094f4e12b5b6dd0dff = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_3fa7366d89a66e0b8ce7e87e2af22e16.setIcon(icon_93ea52b1d0027f094f4e12b5b6dd0dff);\n","        \n","    \n","        var popup_41a146135e1bb4d328e0eb6a230f9f03 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_e9127f217ff1074ceb3391965d329791 = $(`&lt;div id=&quot;html_e9127f217ff1074ceb3391965d329791&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91356&lt;br&gt;salary: 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marker_42c887e536037d93e8134bd3c5b1f6dc.setIcon(icon_1ef24dc4233a5cfb26f311ce8a1575a1);\n","        \n","    \n","        var popup_6b8db1d05a8e7a8e709a5dcf5a850d25 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_7d668c3e20757eb554b368b0f12ac475 = $(`&lt;div id=&quot;html_7d668c3e20757eb554b368b0f12ac475&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90732&lt;br&gt;salary: $115,120&lt;br&gt;Count: 68&lt;/div&gt;`)[0];\n","                popup_6b8db1d05a8e7a8e709a5dcf5a850d25.setContent(html_7d668c3e20757eb554b368b0f12ac475);\n","            \n","        \n","\n","        marker_42c887e536037d93e8134bd3c5b1f6dc.bindPopup(popup_6b8db1d05a8e7a8e709a5dcf5a850d25)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_7de507bd3c9a94466b294bcfa112f4c1 = L.marker(\n","                [34.009552, -118.346724],\n","                {}\n","            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popup_4480f2c93ab300d8df4f77b701934d88.setContent(html_f0864ed2e2c0a6d6db2ef38e04675bca);\n","            \n","        \n","\n","        marker_7de507bd3c9a94466b294bcfa112f4c1.bindPopup(popup_4480f2c93ab300d8df4f77b701934d88)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_5033da1fe8d0d2262fc47d0d1ce67f7e = L.marker(\n","                [33.988505, -118.336358],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_68c4ddd0fdbdcb21b2eeef6b5f7137c0 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_5033da1fe8d0d2262fc47d0d1ce67f7e.setIcon(icon_68c4ddd0fdbdcb21b2eeef6b5f7137c0);\n","        \n","    \n","        var 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marker_bb3ea3c4b60983256ac22807322bfa72.bindPopup(popup_429a66e78cae2083971fb4577d5812e5)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_4848a04309311fcd5567a0d4f3f778c7 = L.marker(\n","                [34.051809, -118.383674],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_33d7cf0bc2734b5ee861d1ed2f0bbff7 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_4848a04309311fcd5567a0d4f3f778c7.setIcon(icon_33d7cf0bc2734b5ee861d1ed2f0bbff7);\n","        \n","    \n","        var popup_dce3c91489f825a69f07269d936b07fc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_fea9a71341d6f0c1d80742b7ea0a79b1 = $(`&lt;div id=&quot;html_fea9a71341d6f0c1d80742b7ea0a79b1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90035&lt;br&gt;salary: $110,520&lt;br&gt;Count: 63&lt;/div&gt;`)[0];\n","                popup_dce3c91489f825a69f07269d936b07fc.setContent(html_fea9a71341d6f0c1d80742b7ea0a79b1);\n","            \n","        \n","\n","        marker_4848a04309311fcd5567a0d4f3f778c7.bindPopup(popup_dce3c91489f825a69f07269d936b07fc)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_6db4bbf186eb66cd8ba4cd2612eab5b8 = L.marker(\n","                [34.037251, -118.423573],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_d7f0f82b615cc8362db6a6ffafbfe6a0 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, 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L.marker(\n","                [34.028129, -118.284829],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_5969e42969ddc64292843b5d9992028a = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_bb337805a144e6d60f39872ff3f9aad0.setIcon(icon_5969e42969ddc64292843b5d9992028a);\n","        \n","    \n","        var popup_7918425a80818b1386d65c8ae13b079c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_0ae271e8ab7a50d25a9ee802d8f7fb10 = $(`&lt;div id=&quot;html_0ae271e8ab7a50d25a9ee802d8f7fb10&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90007&lt;br&gt;salary: 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marker_388264a1b1598511e1b5bc2134e50b92.setIcon(icon_fe22e65fda8ca6ab443a990b8f287c94);\n","        \n","    \n","        var popup_303601e12f2f8d240eb9970cc31d6d56 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_15830ba99174bfce2f093397a350215a = $(`&lt;div id=&quot;html_15830ba99174bfce2f093397a350215a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90032&lt;br&gt;salary: $76,608&lt;br&gt;Count: 52&lt;/div&gt;`)[0];\n","                popup_303601e12f2f8d240eb9970cc31d6d56.setContent(html_15830ba99174bfce2f093397a350215a);\n","            \n","        \n","\n","        marker_388264a1b1598511e1b5bc2134e50b92.bindPopup(popup_303601e12f2f8d240eb9970cc31d6d56)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_0260e053c829cdf04207ed10fa73314b = L.marker(\n","                [34.185767, -118.388323],\n","                {}\n","            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popup_90d449794d4a194215cd721c761e9f50.setContent(html_1ec0fefae8ec8068ba2845f231acebea);\n","            \n","        \n","\n","        marker_0260e053c829cdf04207ed10fa73314b.bindPopup(popup_90d449794d4a194215cd721c761e9f50)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_aa4023527e10faf9d2c8a6c03d199ceb = L.marker(\n","                [34.093828, -118.381697],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_ccecd8aabd760ddfaf2e4c5317293802 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_aa4023527e10faf9d2c8a6c03d199ceb.setIcon(icon_ccecd8aabd760ddfaf2e4c5317293802);\n","        \n","    \n","        var popup_f4fd929fe0bc3e83cb845cd2bc4b8da0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_a154087cc2998a246302982f63a5a27b = $(`&lt;div id=&quot;html_a154087cc2998a246302982f63a5a27b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90069&lt;br&gt;salary: $106,133&lt;br&gt;Count: 46&lt;/div&gt;`)[0];\n","                popup_f4fd929fe0bc3e83cb845cd2bc4b8da0.setContent(html_a154087cc2998a246302982f63a5a27b);\n","            \n","        \n","\n","        marker_aa4023527e10faf9d2c8a6c03d199ceb.bindPopup(popup_f4fd929fe0bc3e83cb845cd2bc4b8da0)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_68f03e17f4a9f1a30a3167bee27dc372 = L.marker(\n","                [34.05038, -118.211991],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_8b34ae301b2001a8cb10cac073e6beaa = L.AwesomeMarkers.icon(\n","      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marker_68f03e17f4a9f1a30a3167bee27dc372.bindPopup(popup_8917b70767e9c93e58ccd76b1fd704ac)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_f9c8a7100e07eeb79ccbcb59ee3d78dd = L.marker(\n","                [34.255442, -118.421314],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_075b6e18e34ec8aad525cd03df14bdfc = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_f9c8a7100e07eeb79ccbcb59ee3d78dd.setIcon(icon_075b6e18e34ec8aad525cd03df14bdfc);\n","        \n","    \n","        var popup_2a5aad0589bd1b58837bb53aa3e73a49 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_7322f965f2de4664cffcdeea4be2fe46 = $(`&lt;div id=&quot;html_7322f965f2de4664cffcdeea4be2fe46&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91331&lt;br&gt;salary: $76,942&lt;br&gt;Count: 42&lt;/div&gt;`)[0];\n","                popup_2a5aad0589bd1b58837bb53aa3e73a49.setContent(html_7322f965f2de4664cffcdeea4be2fe46);\n","            \n","        \n","\n","        marker_f9c8a7100e07eeb79ccbcb59ee3d78dd.bindPopup(popup_2a5aad0589bd1b58837bb53aa3e73a49)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_d59755c22df97331354bc89024b36348 = L.marker(\n","                [34.209532, -118.577563],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_5bd1dc938e60dea005eff03f26319a65 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, 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L.marker(\n","                [34.002719, -118.287487],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_981d7fbb96ff03f5f0f739a3bab457b5 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_bbe350b7a5f58ea9522cbe59a034c591.setIcon(icon_981d7fbb96ff03f5f0f739a3bab457b5);\n","        \n","    \n","        var popup_c5b6404e255f8155aa055a937154dc51 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_db4489654f6f65efd7afae2dce892361 = $(`&lt;div id=&quot;html_db4489654f6f65efd7afae2dce892361&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90037&lt;br&gt;salary: 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marker_a3b937035d089b4fa2ff614b3c8dd77a.setIcon(icon_dbd09a078e135afadc60b60e26ce1c93);\n","        \n","    \n","        var popup_df048f65f199891dfc34b4e6ef0414ff = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_14e7d2500dae05df97f0c4cba85a1c09 = $(`&lt;div id=&quot;html_14e7d2500dae05df97f0c4cba85a1c09&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90501&lt;br&gt;salary: $89,926&lt;br&gt;Count: 41&lt;/div&gt;`)[0];\n","                popup_df048f65f199891dfc34b4e6ef0414ff.setContent(html_14e7d2500dae05df97f0c4cba85a1c09);\n","            \n","        \n","\n","        marker_a3b937035d089b4fa2ff614b3c8dd77a.bindPopup(popup_df048f65f199891dfc34b4e6ef0414ff)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_4c6f9bbfb313d3e7960ed369bfa1b38b = L.marker(\n","                [33.953617, -118.308428],\n","                {}\n","            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popup_a812e0f92dbe6440695203d4b4b1b72b.setContent(html_275f47e7972ee95b96168838bd12651d);\n","            \n","        \n","\n","        marker_4c6f9bbfb313d3e7960ed369bfa1b38b.bindPopup(popup_a812e0f92dbe6440695203d4b4b1b72b)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_cfc348ac9e6d3e2d9ea3c5d6b6f0a630 = L.marker(\n","                [34.028887, -118.317183],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_cbdfdd10e2ebc09d966ec209b64beec2 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_cfc348ac9e6d3e2d9ea3c5d6b6f0a630.setIcon(icon_cbdfdd10e2ebc09d966ec209b64beec2);\n","        \n","    \n","        var popup_c47c3ef0db6cd25de77303f995101de8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_e8ba06c3e837d134b6ce8f70bcb76c9a = $(`&lt;div id=&quot;html_e8ba06c3e837d134b6ce8f70bcb76c9a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90018&lt;br&gt;salary: $58,987&lt;br&gt;Count: 39&lt;/div&gt;`)[0];\n","                popup_c47c3ef0db6cd25de77303f995101de8.setContent(html_e8ba06c3e837d134b6ce8f70bcb76c9a);\n","            \n","        \n","\n","        marker_cfc348ac9e6d3e2d9ea3c5d6b6f0a630.bindPopup(popup_c47c3ef0db6cd25de77303f995101de8)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_6ee55f644d0d6f6ca5827b7fc8d67b49 = L.marker(\n","                [34.111885, -118.261033],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_6d82c502a95fba1c1bc662e772a5ede7 = L.AwesomeMarkers.icon(\n","      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marker_6ee55f644d0d6f6ca5827b7fc8d67b49.bindPopup(popup_a309b34faa2fb95c197ac11f47f17daf)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_877a5912c09cc4046f90a6a43852220e = L.marker(\n","                [33.890853, -118.297967],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_aa7f3a8dd419ea16d8c5440c1e623f92 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_877a5912c09cc4046f90a6a43852220e.setIcon(icon_aa7f3a8dd419ea16d8c5440c1e623f92);\n","        \n","    \n","        var popup_6d2059cad5b41548ac2e2e3d46d2a811 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_af3c488e8b91b706dbbe5d29fd358bf8 = $(`&lt;div id=&quot;html_af3c488e8b91b706dbbe5d29fd358bf8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90247&lt;br&gt;salary: $70,012&lt;br&gt;Count: 32&lt;/div&gt;`)[0];\n","                popup_6d2059cad5b41548ac2e2e3d46d2a811.setContent(html_af3c488e8b91b706dbbe5d29fd358bf8);\n","            \n","        \n","\n","        marker_877a5912c09cc4046f90a6a43852220e.bindPopup(popup_6d2059cad5b41548ac2e2e3d46d2a811)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_08076ba0380155dfa4e56340429dc641 = L.marker(\n","                [34.265879, -118.456748],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_555fe1896de8c78c82704d5496cd89ac = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_08076ba0380155dfa4e56340429dc641.setIcon(icon_555fe1896de8c78c82704d5496cd89ac);\n","        \n","    \n","        var popup_e5f9e6d20c6c01d5c3f230f7ec700dce = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_7501f878ce5113868eed8e31041c2e84 = $(`&lt;div id=&quot;html_7501f878ce5113868eed8e31041c2e84&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91345&lt;br&gt;salary: $93,622&lt;br&gt;Count: 31&lt;/div&gt;`)[0];\n","                popup_e5f9e6d20c6c01d5c3f230f7ec700dce.setContent(html_7501f878ce5113868eed8e31041c2e84);\n","            \n","        \n","\n","        marker_08076ba0380155dfa4e56340429dc641.bindPopup(popup_e5f9e6d20c6c01d5c3f230f7ec700dce)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_baa040bcdd2520f581dc312eba1bd951 = L.marker(\n","                [34.149588, -118.489708],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_1ef4d07314318ab86f2c25386c276030 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_baa040bcdd2520f581dc312eba1bd951.setIcon(icon_1ef4d07314318ab86f2c25386c276030);\n","        \n","    \n","        var popup_fcc26aa4e04ae3fa115e87dc3fb2c73e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_b10599e148c2cd255ad78cbdd7e16609 = $(`&lt;div id=&quot;html_b10599e148c2cd255ad78cbdd7e16609&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91436&lt;br&gt;salary: $155,346&lt;br&gt;Count: 29&lt;/div&gt;`)[0];\n","                popup_fcc26aa4e04ae3fa115e87dc3fb2c73e.setContent(html_b10599e148c2cd255ad78cbdd7e16609);\n","            \n","        \n","\n","        marker_baa040bcdd2520f581dc312eba1bd951.bindPopup(popup_fcc26aa4e04ae3fa115e87dc3fb2c73e)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_3571c108178e8cbc6070fc125aa0383b = L.marker(\n","                [33.988047, -118.370361],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_d4c0caebf5b6aae478b402a42622fc81 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_3571c108178e8cbc6070fc125aa0383b.setIcon(icon_d4c0caebf5b6aae478b402a42622fc81);\n","        \n","    \n","        var popup_6465c6b2c8ea0e5af89296d59746f1a4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_2c3c8ddea634c389cee6d1507bade6e5 = $(`&lt;div id=&quot;html_2c3c8ddea634c389cee6d1507bade6e5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90056&lt;br&gt;salary: $123,457&lt;br&gt;Count: 28&lt;/div&gt;`)[0];\n","                popup_6465c6b2c8ea0e5af89296d59746f1a4.setContent(html_2c3c8ddea634c389cee6d1507bade6e5);\n","            \n","        \n","\n","        marker_3571c108178e8cbc6070fc125aa0383b.bindPopup(popup_6465c6b2c8ea0e5af89296d59746f1a4)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_4cd648e8b2e189836b93b8974b09a3a6 = L.marker(\n","                [34.022502, -118.199613],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_7db25ea9fda20af72e93e771789592e2 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_4cd648e8b2e189836b93b8974b09a3a6.setIcon(icon_7db25ea9fda20af72e93e771789592e2);\n","        \n","    \n","        var popup_c1bec84b95847a47f72335a8be432ba9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_ab5c8b1c90e05a5db7b73dd0720e5e54 = $(`&lt;div id=&quot;html_ab5c8b1c90e05a5db7b73dd0720e5e54&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90023&lt;br&gt;salary: $52,918&lt;br&gt;Count: 27&lt;/div&gt;`)[0];\n","                popup_c1bec84b95847a47f72335a8be432ba9.setContent(html_ab5c8b1c90e05a5db7b73dd0720e5e54);\n","            \n","        \n","\n","        marker_4cd648e8b2e189836b93b8974b09a3a6.bindPopup(popup_c1bec84b95847a47f72335a8be432ba9)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_38284a6e1bbd523943ac4464ed7edbc3 = L.marker(\n","                [33.926262, -118.249883],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_0c15748b12c0d8ebca0f5c04fb7b50f2 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_38284a6e1bbd523943ac4464ed7edbc3.setIcon(icon_0c15748b12c0d8ebca0f5c04fb7b50f2);\n","        \n","    \n","        var popup_c4a5ca862f2a3332fdfd288ffd52a113 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_e5f6a157c655f2a86e6a22db2fc8f22b = $(`&lt;div id=&quot;html_e5f6a157c655f2a86e6a22db2fc8f22b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90059&lt;br&gt;salary: $50,939&lt;br&gt;Count: 24&lt;/div&gt;`)[0];\n","                popup_c4a5ca862f2a3332fdfd288ffd52a113.setContent(html_e5f6a157c655f2a86e6a22db2fc8f22b);\n","            \n","        \n","\n","        marker_38284a6e1bbd523943ac4464ed7edbc3.bindPopup(popup_c4a5ca862f2a3332fdfd288ffd52a113)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_ca14271317176c8ff0b4a223f2d3627e = L.marker(\n","                [34.178483, -118.431791],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_f248d400884a5a7e47e41cd04a704d04 = L.AwesomeMarkers.icon(\n","      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marker_ca14271317176c8ff0b4a223f2d3627e.bindPopup(popup_8d85dffbc09751bd0945633f40685db8)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_2e0d016632aaaa3dca9cde34afff7050 = L.marker(\n","                [34.003638, -118.308806],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_3bdb9b48fa7aba2339a15c4f33f70e1d = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_2e0d016632aaaa3dca9cde34afff7050.setIcon(icon_3bdb9b48fa7aba2339a15c4f33f70e1d);\n","        \n","    \n","        var popup_6c833cd3e3b7e5a55c5cc69e7aa084e9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_fe58be0a94e3a0260351adddf22df254 = $(`&lt;div id=&quot;html_fe58be0a94e3a0260351adddf22df254&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90062&lt;br&gt;salary: $61,422&lt;br&gt;Count: 20&lt;/div&gt;`)[0];\n","                popup_6c833cd3e3b7e5a55c5cc69e7aa084e9.setContent(html_fe58be0a94e3a0260351adddf22df254);\n","            \n","        \n","\n","        marker_2e0d016632aaaa3dca9cde34afff7050.bindPopup(popup_6c833cd3e3b7e5a55c5cc69e7aa084e9)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_edc40f5e0000fb82b83021b9ab3b110a = L.marker(\n","                [34.200834, -118.6649],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_86b5b1ada2c963a112a30414386741b4 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_edc40f5e0000fb82b83021b9ab3b110a.setIcon(icon_86b5b1ada2c963a112a30414386741b4);\n","        \n","    \n","        var popup_fc5d9688a0802f70dd95829cf3a4adc1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_5cde7002816f75d27d7b6ed29556dcc0 = $(`&lt;div id=&quot;html_5cde7002816f75d27d7b6ed29556dcc0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91307&lt;br&gt;salary: $130,877&lt;br&gt;Count: 12&lt;/div&gt;`)[0];\n","                popup_fc5d9688a0802f70dd95829cf3a4adc1.setContent(html_5cde7002816f75d27d7b6ed29556dcc0);\n","            \n","        \n","\n","        marker_edc40f5e0000fb82b83021b9ab3b110a.bindPopup(popup_fc5d9688a0802f70dd95829cf3a4adc1)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_f3dab6b42aa13cd2315183237ced5c29 = L.marker(\n","                [34.137412, -118.207607],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_f6c32356f89927b0a9bc929eef8f54cf = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_f3dab6b42aa13cd2315183237ced5c29.setIcon(icon_f6c32356f89927b0a9bc929eef8f54cf);\n","        \n","    \n","        var popup_a881f5407a4fbbfe3548d0256dc9bc30 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_8b25dd33c91635e7115d619131dc17c5 = $(`&lt;div id=&quot;html_8b25dd33c91635e7115d619131dc17c5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90041&lt;br&gt;salary: $111,938&lt;br&gt;Count: 12&lt;/div&gt;`)[0];\n","                popup_a881f5407a4fbbfe3548d0256dc9bc30.setContent(html_8b25dd33c91635e7115d619131dc17c5);\n","            \n","        \n","\n","        marker_f3dab6b42aa13cd2315183237ced5c29.bindPopup(popup_a881f5407a4fbbfe3548d0256dc9bc30)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_144c8fe5b939b51bfc71a9ea49ef46d8 = L.marker(\n","                [33.799904, -118.298661],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_fc2353c018f630d06a11a6855d93a7ba = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_144c8fe5b939b51bfc71a9ea49ef46d8.setIcon(icon_fc2353c018f630d06a11a6855d93a7ba);\n","        \n","    \n","        var popup_b6a488787dd81eeeddb7876f5b7b55a6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_abe7e95be4fd7b0435f174f487dc9a5a = $(`&lt;div id=&quot;html_abe7e95be4fd7b0435f174f487dc9a5a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90710&lt;br&gt;salary: $75,114&lt;br&gt;Count: 12&lt;/div&gt;`)[0];\n","                popup_b6a488787dd81eeeddb7876f5b7b55a6.setContent(html_abe7e95be4fd7b0435f174f487dc9a5a);\n","            \n","        \n","\n","        marker_144c8fe5b939b51bfc71a9ea49ef46d8.bindPopup(popup_b6a488787dd81eeeddb7876f5b7b55a6)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_0026b98dc23d29f3e0b3ae5a239333f9 = L.marker(\n","                [34.322618, -118.23757],\n","                {}\n","            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popup_88f8f47317f8a4ee10ccc017bf5d8b8a.setContent(html_1019e8a97f135b8c8dd7d6c1d2db653b);\n","            \n","        \n","\n","        marker_0026b98dc23d29f3e0b3ae5a239333f9.bindPopup(popup_88f8f47317f8a4ee10ccc017bf5d8b8a)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_f2f61641bd89ba55acbae2eea4a940cb = L.marker(\n","                [33.949099, -118.246737],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_84560e3b51eeb77c235c63603a5c85c4 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_f2f61641bd89ba55acbae2eea4a940cb.setIcon(icon_84560e3b51eeb77c235c63603a5c85c4);\n","        \n","    \n","        var popup_23388638aff1d68ba42c88ce1244f014 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_9037cde73b2ab9de84b5cb00983feba5 = $(`&lt;div id=&quot;html_9037cde73b2ab9de84b5cb00983feba5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90002&lt;br&gt;salary: $54,221&lt;br&gt;Count: 10&lt;/div&gt;`)[0];\n","                popup_23388638aff1d68ba42c88ce1244f014.setContent(html_9037cde73b2ab9de84b5cb00983feba5);\n","            \n","        \n","\n","        marker_f2f61641bd89ba55acbae2eea4a940cb.bindPopup(popup_23388638aff1d68ba42c88ce1244f014)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_236ffbbbb20a6f6101c6c1e20caafcdd = L.marker(\n","                [33.974027, -118.249509],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_78d8e41c48fbd4b417aaea8c6bc32d90 = L.AwesomeMarkers.icon(\n","      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marker_236ffbbbb20a6f6101c6c1e20caafcdd.bindPopup(popup_1e754d3bcc2efbb512d934c1b9b3bef5)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_89f86f761ca806d79435bfb39c7a4ef8 = L.marker(\n","                [34.261962, -118.336078],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_c029a9f9df9bb807ae0928488250500c = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_89f86f761ca806d79435bfb39c7a4ef8.setIcon(icon_c029a9f9df9bb807ae0928488250500c);\n","        \n","    \n","        var popup_57d846ce21f5ba747e1739b8fd66d2c8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_1a8b296c0ac141b7527e9adaed1c55c7 = $(`&lt;div id=&quot;html_1a8b296c0ac141b7527e9adaed1c55c7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 91040&lt;br&gt;salary: $103,823&lt;br&gt;Count: 8&lt;/div&gt;`)[0];\n","                popup_57d846ce21f5ba747e1739b8fd66d2c8.setContent(html_1a8b296c0ac141b7527e9adaed1c55c7);\n","            \n","        \n","\n","        marker_89f86f761ca806d79435bfb39c7a4ef8.bindPopup(popup_57d846ce21f5ba747e1739b8fd66d2c8)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_26d4016e98ad88e2f5de02aa1c21b083 = L.marker(\n","                [34.08746, -118.544232],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_490d268361b9d015f620b009cc1c17fc = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_26d4016e98ad88e2f5de02aa1c21b083.setIcon(icon_490d268361b9d015f620b009cc1c17fc);\n","        \n","    \n","        var popup_0f1145061d0b69eedd056bd187db633e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_c98a6631a36bde65fe819f0620293e53 = $(`&lt;div id=&quot;html_c98a6631a36bde65fe819f0620293e53&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90272&lt;br&gt;salary: $225,256&lt;br&gt;Count: 6&lt;/div&gt;`)[0];\n","                popup_0f1145061d0b69eedd056bd187db633e.setContent(html_c98a6631a36bde65fe819f0620293e53);\n","            \n","        \n","\n","        marker_26d4016e98ad88e2f5de02aa1c21b083.bindPopup(popup_0f1145061d0b69eedd056bd187db633e)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_3dfa6a31f9825f91713def8c1874ab8c = L.marker(\n","                [34.019323, -118.391902],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_670e6e55ecc2da619f131e0865ba034e = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_3dfa6a31f9825f91713def8c1874ab8c.setIcon(icon_670e6e55ecc2da619f131e0865ba034e);\n","        \n","    \n","        var popup_46bc1f9a093ae422103249575b1f6bac = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_a49781385ee58e35ecb1c76fa741fe00 = $(`&lt;div id=&quot;html_a49781385ee58e35ecb1c76fa741fe00&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90232&lt;br&gt;salary: 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marker_6a34d284003d7c9e8bb7f4626a41468b.setIcon(icon_5ccbff27bd1f9ed639f1d4eed65cb356);\n","        \n","    \n","        var popup_f7c6391493644f8ee71a7a63fd5cf477 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_898f59507b08e586ba669a4e99065860 = $(`&lt;div id=&quot;html_898f59507b08e586ba669a4e99065860&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90210&lt;br&gt;salary: $172,285&lt;br&gt;Count: 3&lt;/div&gt;`)[0];\n","                popup_f7c6391493644f8ee71a7a63fd5cf477.setContent(html_898f59507b08e586ba669a4e99065860);\n","            \n","        \n","\n","        marker_6a34d284003d7c9e8bb7f4626a41468b.bindPopup(popup_f7c6391493644f8ee71a7a63fd5cf477)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_3259fb7c1a57a7c3f23f4de779cd3c67 = L.marker(\n","                [33.878432, -118.284104],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_6b39fa5bd4404c478ac63d0553b04423 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_3259fb7c1a57a7c3f23f4de779cd3c67.setIcon(icon_6b39fa5bd4404c478ac63d0553b04423);\n","        \n","    \n","        var popup_64f6fb9a4279e8c96d30853e47eff079 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_ec95309ece90c01dab86bc33ee64701c = $(`&lt;div id=&quot;html_ec95309ece90c01dab86bc33ee64701c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90248&lt;br&gt;salary: $75,865&lt;br&gt;Count: 2&lt;/div&gt;`)[0];\n","                popup_64f6fb9a4279e8c96d30853e47eff079.setContent(html_ec95309ece90c01dab86bc33ee64701c);\n","            \n","        \n","\n","        marker_3259fb7c1a57a7c3f23f4de779cd3c67.bindPopup(popup_64f6fb9a4279e8c96d30853e47eff079)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_a840419d6cda88294289360ddb53f371 = L.marker(\n","                [34.108023, -118.456964],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_a6427c468120cc72ca52dc3237e07fe0 = L.AwesomeMarkers.icon(\n","                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n","            );\n","            marker_a840419d6cda88294289360ddb53f371.setIcon(icon_a6427c468120cc72ca52dc3237e07fe0);\n","        \n","    \n","        var popup_efa743cc3226d6e82213cc2f0a69b6dd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n","\n","        \n","            \n","                var html_7ee9ba0179424d64e7d6b34db3666558 = $(`&lt;div id=&quot;html_7ee9ba0179424d64e7d6b34db3666558&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;ZIP Code: 90077&lt;br&gt;salary: $203,194&lt;br&gt;Count: 2&lt;/div&gt;`)[0];\n","                popup_efa743cc3226d6e82213cc2f0a69b6dd.setContent(html_7ee9ba0179424d64e7d6b34db3666558);\n","            \n","        \n","\n","        marker_a840419d6cda88294289360ddb53f371.bindPopup(popup_efa743cc3226d6e82213cc2f0a69b6dd)\n","        ;\n","\n","        \n","    \n","    \n","            var marker_8389b8181fe4f57ebb1feb43b1846afd = L.marker(\n","                [33.997862, -118.393617],\n","                {}\n","            ).addTo(map_af9d13aa96b28e53fa413c2b338f92b8);\n","        \n","    \n","            var icon_141daf511c0dba05ca50ffc82706ccec = L.AwesomeMarkers.icon(\n","      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Historic Core, Arts Distr...   \n","4       90015    816  Los Angeles(Dowtown Fashion District, South Pa...   \n","..        ...    ...                                                ...   \n","103     90248      2                                            Gardena   \n","104     90077      2         Los Angeles(Bel Air Estates, Beverly Glen)   \n","105     90230      2                                        Culver City   \n","106     90058      2         Los Angeles(Southeast Los Angeles), Vernon   \n","107     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  salary  \\\n","0                        $97,583   97583   \n","1                       $106,355  106355   \n","2                        $57,258   57258   \n","3                        $26,550   26550   \n","4                        $61,959   61959   \n","..                           ...     ...   \n","103                      $75,865   75865   \n","104                     $203,194  203194   \n","105                     $107,870  107870   \n","106                      $34,093   34093   \n","107                      $71,664   71664   \n","\n","                                  Coordinates   Latitude   Longitude    ZIP  \\\n","0              (38.032346375, 13.45267341875)  38.032346   13.452673  90036   \n","1    (49.626673049999994, 11.264831535613922)  49.626673   11.264832  91367   \n","2    (34.10068415948276, -118.32950242988505)  34.100684 -118.329502  90028   \n","3                 (38.044439175, 13.52935805)  38.044439   13.529358  90014   \n","4     (38.03304276885246, 14.024744513114753)  38.033043   14.024745  90015   \n","..                                        ...        ...         ...    ...   \n","103          (48.1360227, 22.632739766666667)  48.136023   22.632740  90248   \n","104  (34.11533435636364, -118.44273997818182)  34.115334 -118.442740  90077   \n","105    (58.73245799315069, 23.69288248219178)  58.732458   23.692882  90230   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<td>Los Angeles(Woodland Hills)</td>\n","      <td>$106,355</td>\n","      <td>106355</td>\n","      <td>(49.626673049999994, 11.264831535613922)</td>\n","      <td>49.626673</td>\n","      <td>11.264832</td>\n","      <td>91367</td>\n","      <td>34.177311</td>\n","      <td>-118.615704</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90028</td>\n","      <td>939</td>\n","      <td>Los Angeles(Hollywood)</td>\n","      <td>$57,258</td>\n","      <td>57258</td>\n","      <td>(34.10068415948276, -118.32950242988505)</td>\n","      <td>34.100684</td>\n","      <td>-118.329502</td>\n","      <td>90028</td>\n","      <td>34.099912</td>\n","      <td>-118.326912</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90014</td>\n","      <td>848</td>\n","      <td>Los Angeles(Downtown Historic Core, Arts Distr...</td>\n","      <td>$26,550</td>\n","      <td>26550</td>\n","      <td>(38.044439175, 13.52935805)</td>\n","      <td>38.044439</td>\n","      <td>13.529358</td>\n","      <td>90014</td>\n","      <td>34.043146</td>\n","      <td>-118.251746</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90015</td>\n","      <td>816</td>\n","      <td>Los Angeles(Dowtown Fashion District, South Pa...</td>\n","      <td>$61,959</td>\n","      <td>61959</td>\n","      <td>(38.03304276885246, 14.024744513114753)</td>\n","      <td>38.033043</td>\n","      <td>14.024745</td>\n","      <td>90015</td>\n","      <td>34.039378</td>\n","      <td>-118.266300</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>90248</td>\n","      <td>2</td>\n","      <td>Gardena</td>\n","      <td>$75,865</td>\n","      <td>75865</td>\n","      <td>(48.1360227, 22.632739766666667)</td>\n","      <td>48.136023</td>\n","      <td>22.632740</td>\n","      <td>90248</td>\n","      <td>33.878432</td>\n","      <td>-118.284104</td>\n","    </tr>\n","    <tr>\n","      <th>104</th>\n","      <td>90077</td>\n","      <td>2</td>\n","      <td>Los Angeles(Bel Air Estates, Beverly Glen)</td>\n","      <td>$203,194</td>\n","      <td>203194</td>\n","      <td>(34.11533435636364, -118.44273997818182)</td>\n","      <td>34.115334</td>\n","      <td>-118.442740</td>\n","      <td>90077</td>\n","      <td>34.108023</td>\n","      <td>-118.456964</td>\n","    </tr>\n","    <tr>\n","      <th>105</th>\n","      <td>90230</td>\n","      <td>2</td>\n","      <td>Culver City</td>\n","      <td>$107,870</td>\n","      <td>107870</td>\n","      <td>(58.73245799315069, 23.69288248219178)</td>\n","      <td>58.732458</td>\n","      <td>23.692882</td>\n","      <td>90230</td>\n","      <td>33.997862</td>\n","      <td>-118.393617</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>90058</td>\n","      <td>2</td>\n","      <td>Los Angeles(Southeast Los Angeles), Vernon</td>\n","      <td>$34,093</td>\n","      <td>34093</td>\n","      <td>(34.00307681784232, -118.22808484605808)</td>\n","      <td>34.003077</td>\n","      <td>-118.228085</td>\n","      <td>90058</td>\n","      <td>34.002844</td>\n","      <td>-118.216400</td>\n","    </tr>\n","    <tr>\n","      <th>107</th>\n","      <td>91340</td>\n","      <td>1</td>\n","      <td>San Fernando,Los Angeles(Mission Hills, Pacoima)</td>\n","      <td>$71,664</td>\n","      <td>71664</td>\n","      <td>(48.60687045, 2.227307618714705)</td>\n","      <td>48.606870</td>\n","      <td>2.227308</td>\n","      <td>91340</td>\n","      <td>34.286687</td>\n","      <td>-118.435080</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>108 rows × 11 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div 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\"samples\": [\n          23,\n          1889,\n          188\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Community\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 97,\n        \"samples\": [\n          \"Los Angeles(San Pedro), Rancho Palos Verdes\",\n          \"Los Angeles(North Hollywood, Studio City, Toluca Lake, West Toluca Lake)\",\n          \"Beverly Hills\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 Estimated Median Income\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 108,\n        \"samples\": [\n          \"$50,616\",\n          \"$83,853\",\n          \"$61,959\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"salary\",\n      \"properties\": {\n        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To recitify this we used the official mapping of US Zip codes and lattitude and longitude dataset. Source: https://gist.github.com/erichurst/7882666"],"metadata":{"id":"kMVJFjtF-fpF"}},{"cell_type":"code","source":["df = merged_df_4.drop(columns=['Coordinates','Latitude', 'Longitude'])"],"metadata":{"id":"j9Hx6DEL-Nbd","executionInfo":{"status":"ok","timestamp":1723489476936,"user_tz":420,"elapsed":216,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":81,"outputs":[]},{"cell_type":"code","source":["df.to_csv(\"zip_code_salary.csv\",index=False)"],"metadata":{"id":"dAsny-C6-NYV","executionInfo":{"status":"ok","timestamp":1723489510843,"user_tz":420,"elapsed":229,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":82,"outputs":[]},{"cell_type":"code","source":["merged_df_4 = pd.read_csv(\"/content/zip_code_salary.csv\")"],"metadata":{"id":"K7Hn9ukz-NV-","executionInfo":{"status":"ok","timestamp":1723489622106,"user_tz":420,"elapsed":383,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":83,"outputs":[]},{"cell_type":"code","source":["merged_df_4[\"Count\"].median()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"soJK-4w9-NSX","executionInfo":{"status":"ok","timestamp":1723489630160,"user_tz":420,"elapsed":204,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"360a2ae1-998b-42db-d7a1-776c86992e89"},"execution_count":84,"outputs":[{"output_type":"execute_result","data":{"text/plain":["92.0"]},"metadata":{},"execution_count":84}]},{"cell_type":"code","source":["quartiles = merged_df_4[\"Count\"].quantile([0.25, 0.5, 0.75])"],"metadata":{"id":"CChyIPQH-NPN","executionInfo":{"status":"ok","timestamp":1723489638763,"user_tz":420,"elapsed":229,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":85,"outputs":[]},{"cell_type":"code","source":["def get_marker_color(count):\n","    if count > quartiles[0.75]:  # You can adjust the threshold values as needed\n","        return 'red'\n","    elif count > quartiles[0.5] and count < quartiles[0.75]:\n","        return 'orange'\n","    else:\n","        return 'green'\n","m = folium.Map(location=[34.0522, -118.2437], zoom_start=10)\n","# Add markers to the map for each ZIP code\n","for _, row in merged_df_4.iterrows():\n","    if row['LAT'] and row['LNG']:  # Check if the coordinates are valid\n","        marker_color = get_marker_color(row['Count'])  # Get the color based on count\n","        folium.Marker(\n","            location=[row['LAT'], row['LNG']],\n","            popup=f\"ZIP Code: {row['Zip Code']}<br>Salary: ${row['salary']:,}<br>Count: {row['Count']}\",\n","            icon=folium.Icon(color=marker_color, icon='info-sign')\n","        ).add_to(m)"],"metadata":{"id":"YJRRFVocuvWE","executionInfo":{"status":"ok","timestamp":1723489655319,"user_tz":420,"elapsed":472,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":86,"outputs":[]},{"cell_type":"code","source":["m"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":548},"id":"-VZnIUqmuvTM","executionInfo":{"status":"ok","timestamp":1723489664337,"user_tz":420,"elapsed":635,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"84049a54-7816-4874-b927-e75800c73e35"},"execution_count":87,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<folium.folium.Map at 0x7ad0b882af20>"],"text/html":["<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n","&lt;html&gt;\n","&lt;head&gt;\n","    \n","    &lt;meta http-equiv=&quot;content-type&quot; 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However, upon a closer inspection over the mp, we observe a few clusters for the highest wrongful eviction zip codes. We categorized the wrongful evictions into 3 categories -\n","\n","\n","*   75th percentile above - Red marker\n","*   Between 50th to 75th percentile - Orange marker\n","*   Below 50th percentile - Green marker\n","\n","We observe a few clusters around the areas of West Hollywood, downtown Los Angeles, more specificly Korea town and China town, where the wrongful evictions were beyond the 75th percentile.\n","For 50th - 75th percentile cases, the zipcodes are sparingly spread and no specific trend is observed.\n","And lastly, we observe the cases of wrongful evictions were less severe around the southern regions of Los Angeles.\n","\n","\n","\n"],"metadata":{"id":"KCGKidN8_W82"}},{"cell_type":"markdown","source":["### Checking for Racial Biases in Wrongful Evictions\n","\n"],"metadata":{"id":"emEj_ZCwEcom"}},{"cell_type":"code","source":["counts = pd.read_csv(\"/content/zip_code_salary.csv\")"],"metadata":{"id":"2liK-ITQ_Wp2","executionInfo":{"status":"ok","timestamp":1723491096386,"user_tz":420,"elapsed":196,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":88,"outputs":[]},{"cell_type":"code","source":["counts"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":545},"id":"DqBmofWA_WnW","executionInfo":{"status":"ok","timestamp":1723491104540,"user_tz":420,"elapsed":287,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"1de0eee2-c8a5-4116-c75a-bb61473a73c8"},"execution_count":89,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     Zip Code  Count                                          Community  \\\n","0       90036   1889  Los Angeles(Fairfax, Melrose, Miracle Mile, Pa...   \n","1       91367   1437                        Los Angeles(Woodland Hills)   \n","2       90028    939                             Los Angeles(Hollywood)   \n","3       90014    848  Los Angeles(Downtown Historic Core, Arts Distr...   \n","4       90015    816  Los Angeles(Dowtown Fashion District, South Pa...   \n","..        ...    ...                                                ...   \n","103     90248      2                                            Gardena   \n","104     90077      2         Los Angeles(Bel Air Estates, Beverly Glen)   \n","105     90230      2                                        Culver City   \n","106     90058      2         Los Angeles(Southeast Los Angeles), Vernon   \n","107     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  salary    ZIP        LAT         LNG  \n","0                        $97,583   97583  90036  34.070410 -118.350411  \n","1                       $106,355  106355  91367  34.177311 -118.615704  \n","2                        $57,258   57258  90028  34.099912 -118.326912  \n","3                        $26,550   26550  90014  34.043146 -118.251746  \n","4                        $61,959   61959  90015  34.039378 -118.266300  \n","..                           ...     ...    ...        ...         ...  \n","103                      $75,865   75865  90248  33.878432 -118.284104  \n","104                     $203,194  203194  90077  34.108023 -118.456964  \n","105                     $107,870  107870  90230  33.997862 -118.393617  \n","106                      $34,093   34093  90058  34.002844 -118.216400  \n","107                      $71,664   71664  91340  34.286687 -118.435080  \n","\n","[108 rows x 8 columns]"],"text/html":["\n","  <div id=\"df-f3544cdd-bfdb-4373-ae2c-d68376a93948\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n"," 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<tr>\n","      <th>2</th>\n","      <td>90028</td>\n","      <td>939</td>\n","      <td>Los Angeles(Hollywood)</td>\n","      <td>$57,258</td>\n","      <td>57258</td>\n","      <td>90028</td>\n","      <td>34.099912</td>\n","      <td>-118.326912</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90014</td>\n","      <td>848</td>\n","      <td>Los Angeles(Downtown Historic Core, Arts Distr...</td>\n","      <td>$26,550</td>\n","      <td>26550</td>\n","      <td>90014</td>\n","      <td>34.043146</td>\n","      <td>-118.251746</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90015</td>\n","      <td>816</td>\n","      <td>Los Angeles(Dowtown Fashion District, South Pa...</td>\n","      <td>$61,959</td>\n","      <td>61959</td>\n","      <td>90015</td>\n","      <td>34.039378</td>\n","      <td>-118.266300</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>90248</td>\n","      <td>2</td>\n","      <td>Gardena</td>\n","      <td>$75,865</td>\n","      <td>75865</td>\n","      <td>90248</td>\n","      <td>33.878432</td>\n","      <td>-118.284104</td>\n","    </tr>\n","    <tr>\n","      <th>104</th>\n","      <td>90077</td>\n","      <td>2</td>\n","      <td>Los Angeles(Bel Air Estates, Beverly Glen)</td>\n","      <td>$203,194</td>\n","      <td>203194</td>\n","      <td>90077</td>\n","      <td>34.108023</td>\n","      <td>-118.456964</td>\n","    </tr>\n","    <tr>\n","      <th>105</th>\n","      <td>90230</td>\n","      <td>2</td>\n","      <td>Culver City</td>\n","      <td>$107,870</td>\n","      <td>107870</td>\n","      <td>90230</td>\n","      <td>33.997862</td>\n","      <td>-118.393617</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>90058</td>\n","      <td>2</td>\n","      <td>Los Angeles(Southeast Los Angeles), Vernon</td>\n","      <td>$34,093</td>\n","      <td>34093</td>\n","      <td>90058</td>\n","      <td>34.002844</td>\n","      <td>-118.216400</td>\n","    </tr>\n","    <tr>\n","      <th>107</th>\n","      <td>91340</td>\n","      <td>1</td>\n","      <td>San Fernando,Los Angeles(Mission Hills, Pacoima)</td>\n","      <td>$71,664</td>\n","      <td>71664</td>\n","      <td>91340</td>\n","      <td>34.286687</td>\n","      <td>-118.435080</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>108 rows × 8 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f3544cdd-bfdb-4373-ae2c-d68376a93948')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" 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Seth","userId":"08726240231801336788"}}},"execution_count":90,"outputs":[]},{"cell_type":"code","source":["race_dist"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":510},"id":"OUZjk6m4_WjV","executionInfo":{"status":"ok","timestamp":1723491126854,"user_tz":420,"elapsed":216,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"16e5bd12-f946-4ef4-9576-e48d1823a80b"},"execution_count":91,"outputs":[{"output_type":"execute_result","data":{"text/plain":["         Zip Code Total Population  American Indian & Alaska Native  Asian  \\\n","0    City of L.A.        3,881,041                             1.05  11.82   \n","1           90001           57,652                             2.13   0.60   \n","2           90002           53,108                             3.72   1.15   \n","3           90003           75,024                             0.80   0.47   \n","4           90004           58,833                             1.26  24.79   \n","..            ...              ...                              ...    ...   \n","111         91602           19,980                             0.42   9.60   \n","112         91604           32,073                             0.29   8.62   \n","113         91605           51,654                             1.46   8.47   \n","114         91606           43,552                             1.29   3.95   \n","115         91607           30,734                             0.36   8.18   \n","\n","     Black or African American  Native Hawaiian & Other Pacific Islander  \\\n","0                         8.56                                      0.15   \n","1                         7.45                                      0.02   \n","2                        15.73                                      0.10   \n","3                        16.46                                      0.00   \n","4                         4.45                                      0.12   \n","..                         ...                                       ...   \n","111                       7.17                                      0.45   \n","112                       4.26                                      0.00   \n","113                       2.03                                      0.04   \n","114                       5.01                                      0.00   \n","115                       7.08                                      0.10   \n","\n","     White (Not Hispanic or Latino)  Some Other Race  Two or More Races  \\\n","0                             27.55            24.54              12.72   \n","1                              0.65            40.67              20.88   \n","2                              0.38            39.43              16.70   \n","3                              0.47            47.58              17.51   \n","4                             20.58            31.12               9.34   \n","..                              ...              ...                ...   \n","111                           59.40             7.15              11.94   \n","112                           69.01             2.94              11.05   \n","113                           27.24            27.84              16.24   \n","114                           33.76            23.71              14.95   \n","115                           55.11             9.44              14.84   \n","\n","     Hispanic or Latino  \n","0                 47.11  \n","1                 91.31  \n","2                 82.41  \n","3                 81.55  \n","4                 46.59  \n","..                  ...  \n","111               18.56  \n","112               11.90  \n","113               60.52  \n","114               53.65  \n","115               23.27  \n","\n","[116 rows x 10 columns]"],"text/html":["\n","  <div id=\"df-5a40122c-c7d7-4eaa-8095-8def18147d63\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","    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<td>27.55</td>\n","      <td>24.54</td>\n","      <td>12.72</td>\n","      <td>47.11</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>90001</td>\n","      <td>57,652</td>\n","      <td>2.13</td>\n","      <td>0.60</td>\n","      <td>7.45</td>\n","      <td>0.02</td>\n","      <td>0.65</td>\n","      <td>40.67</td>\n","      <td>20.88</td>\n","      <td>91.31</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90002</td>\n","      <td>53,108</td>\n","      <td>3.72</td>\n","      <td>1.15</td>\n","      <td>15.73</td>\n","      <td>0.10</td>\n","      <td>0.38</td>\n","      <td>39.43</td>\n","      <td>16.70</td>\n","      <td>82.41</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90003</td>\n","      <td>75,024</td>\n","      <td>0.80</td>\n","      <td>0.47</td>\n","      <td>16.46</td>\n","      <td>0.00</td>\n","      <td>0.47</td>\n","      <td>47.58</td>\n","      <td>17.51</td>\n","      <td>81.55</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90004</td>\n","      <td>58,833</td>\n","      <td>1.26</td>\n","      <td>24.79</td>\n","      <td>4.45</td>\n","      <td>0.12</td>\n","      <td>20.58</td>\n","      <td>31.12</td>\n","      <td>9.34</td>\n","      <td>46.59</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>111</th>\n","      <td>91602</td>\n","      <td>19,980</td>\n","      <td>0.42</td>\n","      <td>9.60</td>\n","      <td>7.17</td>\n","      <td>0.45</td>\n","      <td>59.40</td>\n","      <td>7.15</td>\n","      <td>11.94</td>\n","      <td>18.56</td>\n","    </tr>\n","    <tr>\n","      <th>112</th>\n","      <td>91604</td>\n","      <td>32,073</td>\n","      <td>0.29</td>\n","      <td>8.62</td>\n","      <td>4.26</td>\n","      <td>0.00</td>\n","      <td>69.01</td>\n","      <td>2.94</td>\n","      <td>11.05</td>\n","      <td>11.90</td>\n","    </tr>\n","    <tr>\n","      <th>113</th>\n","      <td>91605</td>\n","      <td>51,654</td>\n","      <td>1.46</td>\n","      <td>8.47</td>\n","      <td>2.03</td>\n","      <td>0.04</td>\n","      <td>27.24</td>\n","      <td>27.84</td>\n","      <td>16.24</td>\n","      <td>60.52</td>\n","    </tr>\n","    <tr>\n","      <th>114</th>\n","      <td>91606</td>\n","      <td>43,552</td>\n","      <td>1.29</td>\n","      <td>3.95</td>\n","      <td>5.01</td>\n","      <td>0.00</td>\n","      <td>33.76</td>\n","      <td>23.71</td>\n","      <td>14.95</td>\n","      <td>53.65</td>\n","    </tr>\n","    <tr>\n","      <th>115</th>\n","      <td>91607</td>\n","      <td>30,734</td>\n","      <td>0.36</td>\n","      <td>8.18</td>\n","      <td>7.08</td>\n","      <td>0.10</td>\n","      <td>55.11</td>\n","      <td>9.44</td>\n","      <td>14.84</td>\n","      <td>23.27</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>116 rows × 10 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5a40122c-c7d7-4eaa-8095-8def18147d63')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: 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Seth","userId":"08726240231801336788"}}},"execution_count":93,"outputs":[]},{"cell_type":"code","source":["merged_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":843},"id":"GU8WzNA3_Wad","executionInfo":{"status":"ok","timestamp":1723491155702,"user_tz":420,"elapsed":244,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"6f00cc9a-e70a-4e2d-d470-aca7400c57d7"},"execution_count":94,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     Zip Code  Count                                          Community  \\\n","0       90036   1889  Los Angeles(Fairfax, Melrose, Miracle Mile, Pa...   \n","1       91367   1437                        Los Angeles(Woodland Hills)   \n","2       90028    939                             Los Angeles(Hollywood)   \n","3       90014    848  Los Angeles(Downtown Historic Core, Arts Distr...   \n","4       90015    816  Los Angeles(Dowtown Fashion District, South Pa...   \n","..        ...    ...                                                ...   \n","101     90248      2                                            Gardena   \n","102     90077      2         Los Angeles(Bel Air Estates, Beverly Glen)   \n","103     90230      2                                        Culver City   \n","104     90058      2         Los Angeles(Southeast Los Angeles), Vernon   \n","105     91340      1   San Fernando,Los Angeles(Mission Hills, Pacoima)   \n","\n","    2022 Estimated Median Income  salary    ZIP        LAT         LNG  \\\n","0                        $97,583   97583  90036  34.070410 -118.350411   \n","1                       $106,355  106355  91367  34.177311 -118.615704   \n","2                        $57,258   57258  90028  34.099912 -118.326912   \n","3                        $26,550   26550  90014  34.043146 -118.251746   \n","4                        $61,959   61959  90015  34.039378 -118.266300   \n","..                           ...     ...    ...        ...         ...   \n","101                      $75,865   75865  90248  33.878432 -118.284104   \n","102                     $203,194  203194  90077  34.108023 -118.456964   \n","103                     $107,870  107870  90230  33.997862 -118.393617   \n","104                      $34,093   34093  90058  34.002844 -118.216400   \n","105                      $71,664   71664  91340  34.286687 -118.435080   \n","\n","    Total Population  American Indian & Alaska Native  Asian  \\\n","0             37,713                             0.37  19.15   \n","1             44,862                             0.46  12.84   \n","2             30,982                             1.23  13.30   \n","3              9,273                             0.27  23.83   \n","4             25,554                             2.49  20.34   \n","..               ...                              ...    ...   \n","101           11,453                             0.64  33.41   \n","102            7,868                             0.00   6.85   \n","103           32,005                             0.22  14.13   \n","104            3,049                             0.00   0.49   \n","105           34,822                             1.11   2.67   \n","\n","     Black or African American  Native Hawaiian & Other Pacific Islander  \\\n","0                         6.33                                      0.06   \n","1                         7.25                                      0.10   \n","2                         8.95                                      0.00   \n","3                        20.76                                      0.27   \n","4                         9.06                                      0.00   \n","..                         ...                                       ...   \n","101                      18.77                                      0.27   \n","102                       2.29                                      0.00   \n","103                       8.85                                      0.27   \n","104                      16.53                                      0.03   \n","105                       1.99                                      0.00   \n","\n","     White (Not Hispanic or Latino)  Some Other Race  Two or More Races  \\\n","0                             55.42             3.92               9.95   \n","1                             59.40             4.90               8.87   \n","2                             42.27            16.82              10.12   \n","3                             27.29            13.64               7.68   \n","4                             14.17            24.41              11.09   \n","..                              ...              ...                ...   \n","101                            6.29            19.59              10.77   \n","102                           78.24             2.07               9.20   \n","103                           39.56             7.38              16.72   \n","104                           10.76            33.39               5.84   \n","105                            3.45            36.71              19.01   \n","\n","     Hispanic or Latino  \n","0                 13.65  \n","1                 15.45  \n","2                 28.72  \n","3                 25.58  \n","4                 52.44  \n","..                  ...  \n","101               33.74  \n","102                5.94  \n","103               30.15  \n","104               69.20  \n","105               91.44  \n","\n","[106 rows x 17 columns]"],"text/html":["\n","  <div id=\"df-c2c8b645-e66c-492e-938a-75bbe4615055\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Zip Code</th>\n","      <th>Count</th>\n","      <th>Community</th>\n","      <th>2022 Estimated Median Income</th>\n","      <th>salary</th>\n","      <th>ZIP</th>\n","      <th>LAT</th>\n","      <th>LNG</th>\n","      <th>Total Population</th>\n","      <th>American Indian &amp; Alaska Native</th>\n","      <th>Asian</th>\n","      <th>Black or African American</th>\n","      <th>Native Hawaiian &amp; Other Pacific Islander</th>\n","      <th>White (Not Hispanic or Latino)</th>\n","      <th>Some Other Race</th>\n","      <th>Two or More Races</th>\n","      <th>Hispanic or Latino</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>90036</td>\n","      <td>1889</td>\n","      <td>Los Angeles(Fairfax, Melrose, Miracle Mile, Pa...</td>\n","      <td>$97,583</td>\n","      <td>97583</td>\n","      <td>90036</td>\n","      <td>34.070410</td>\n","      <td>-118.350411</td>\n","      <td>37,713</td>\n","      <td>0.37</td>\n","      <td>19.15</td>\n","      <td>6.33</td>\n","      <td>0.06</td>\n","      <td>55.42</td>\n","      <td>3.92</td>\n","      <td>9.95</td>\n","      <td>13.65</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>91367</td>\n","      <td>1437</td>\n","      <td>Los Angeles(Woodland Hills)</td>\n","      <td>$106,355</td>\n","      <td>106355</td>\n","      <td>91367</td>\n","      <td>34.177311</td>\n","      <td>-118.615704</td>\n","      <td>44,862</td>\n","      <td>0.46</td>\n","      <td>12.84</td>\n","      <td>7.25</td>\n","      <td>0.10</td>\n","      <td>59.40</td>\n","      <td>4.90</td>\n","      <td>8.87</td>\n","      <td>15.45</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90028</td>\n","      <td>939</td>\n","      <td>Los Angeles(Hollywood)</td>\n","      <td>$57,258</td>\n","      <td>57258</td>\n","      <td>90028</td>\n","      <td>34.099912</td>\n","      <td>-118.326912</td>\n","      <td>30,982</td>\n","      <td>1.23</td>\n","      <td>13.30</td>\n","      <td>8.95</td>\n","      <td>0.00</td>\n","      <td>42.27</td>\n","      <td>16.82</td>\n","      <td>10.12</td>\n","      <td>28.72</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90014</td>\n","      <td>848</td>\n","      <td>Los Angeles(Downtown Historic Core, Arts Distr...</td>\n","      <td>$26,550</td>\n","      <td>26550</td>\n","      <td>90014</td>\n","      <td>34.043146</td>\n","      <td>-118.251746</td>\n","      <td>9,273</td>\n","      <td>0.27</td>\n","      <td>23.83</td>\n","      <td>20.76</td>\n","      <td>0.27</td>\n","      <td>27.29</td>\n","      <td>13.64</td>\n","      <td>7.68</td>\n","      <td>25.58</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90015</td>\n","      <td>816</td>\n","      <td>Los Angeles(Dowtown Fashion District, South Pa...</td>\n","      <td>$61,959</td>\n","      <td>61959</td>\n","      <td>90015</td>\n","      <td>34.039378</td>\n","      <td>-118.266300</td>\n","      <td>25,554</td>\n","      <td>2.49</td>\n","      <td>20.34</td>\n","      <td>9.06</td>\n","      <td>0.00</td>\n","      <td>14.17</td>\n","      <td>24.41</td>\n","      <td>11.09</td>\n","      <td>52.44</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>101</th>\n","      <td>90248</td>\n","      <td>2</td>\n","      <td>Gardena</td>\n","      <td>$75,865</td>\n","      <td>75865</td>\n","      <td>90248</td>\n","      <td>33.878432</td>\n","      <td>-118.284104</td>\n","      <td>11,453</td>\n","      <td>0.64</td>\n","      <td>33.41</td>\n","      <td>18.77</td>\n","      <td>0.27</td>\n","      <td>6.29</td>\n","      <td>19.59</td>\n","      <td>10.77</td>\n","      <td>33.74</td>\n","    </tr>\n","    <tr>\n","      <th>102</th>\n","      <td>90077</td>\n","      <td>2</td>\n","      <td>Los Angeles(Bel Air Estates, Beverly Glen)</td>\n","      <td>$203,194</td>\n","      <td>203194</td>\n","      <td>90077</td>\n","      <td>34.108023</td>\n","      <td>-118.456964</td>\n","      <td>7,868</td>\n","      <td>0.00</td>\n","      <td>6.85</td>\n","      <td>2.29</td>\n","      <td>0.00</td>\n","      <td>78.24</td>\n","      <td>2.07</td>\n","      <td>9.20</td>\n","      <td>5.94</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>90230</td>\n","      <td>2</td>\n","      <td>Culver City</td>\n","      <td>$107,870</td>\n","      <td>107870</td>\n","      <td>90230</td>\n","      <td>33.997862</td>\n","   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<td>91340</td>\n","      <td>34.286687</td>\n","      <td>-118.435080</td>\n","      <td>34,822</td>\n","      <td>1.11</td>\n","      <td>2.67</td>\n","      <td>1.99</td>\n","      <td>0.00</td>\n","      <td>3.45</td>\n","      <td>36.71</td>\n","      <td>19.01</td>\n","      <td>91.44</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>106 rows × 17 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c2c8b645-e66c-492e-938a-75bbe4615055')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 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\"std\": 0.798697389638675,\n        \"min\": 0.0,\n        \"max\": 3.72,\n        \"num_unique_values\": 86,\n        \"samples\": [\n          1.38,\n          0.37,\n          0.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Asian\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.246061143131397,\n        \"min\": 0.47,\n        \"max\": 66.31,\n        \"num_unique_values\": 105,\n        \"samples\": [\n          18.31,\n          7.34,\n          8.38\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Black or African American\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12.144298738167999,\n        \"min\": 0.81,\n        \"max\": 64.26,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          64.26,\n          27.54,\n          63.63\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Native Hawaiian & Other Pacific Islander\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2493265142174492,\n        \"min\": 0.0,\n        \"max\": 1.65,\n        \"num_unique_values\": 38,\n        \"samples\": [\n          0.05,\n          0.24,\n          0.13\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"White (Not Hispanic or Latino)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24.33116290853319,\n        \"min\": 0.38,\n        \"max\": 81.36,\n        \"num_unique_values\": 105,\n        \"samples\": [\n          5.14,\n          63.29,\n          76.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Some Other Race\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.892228639912569,\n        \"min\": 0.67,\n        \"max\": 61.81,\n        \"num_unique_values\": 105,\n        \"samples\": [\n          40.57,\n          1.33,\n          3.29\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Two or More Races\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.795209792287548,\n        \"min\": 2.17,\n        \"max\": 22.41,\n        \"num_unique_values\": 104,\n        \"samples\": [\n          12.83,\n          10.51,\n          9.57\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Hispanic or Latino\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25.03363832182674,\n        \"min\": 4.51,\n        \"max\": 95.73,\n        \"num_unique_values\": 106,\n        \"samples\": [\n          5.97,\n          38.06,\n       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   \"White (Not Hispanic or Latino)\", \"Some Other Race\", \"Two or More Races\",\n","    \"Hispanic or Latino\"\n","]\n","\n","# Ensure all selected columns are numeric\n","df[columns_to_analyze] = df[columns_to_analyze].apply(pd.to_numeric)\n","\n","# Calculate the correlation matrix\n","correlation_matrix = df[columns_to_analyze].corr()\n"],"metadata":{"id":"tGWN1Cr7_WTe","executionInfo":{"status":"ok","timestamp":1723491191911,"user_tz":420,"elapsed":242,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":97,"outputs":[]},{"cell_type":"code","source":["correlation_matrix"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":747},"id":"VNd9fW47FGNn","executionInfo":{"status":"ok","timestamp":1723491198474,"user_tz":420,"elapsed":317,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"8799dc97-a6f1-4343-c641-a02b01f5c977"},"execution_count":98,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                                             Count  Total Population  \\\n","Count                                     1.000000         -0.014749   \n","Total Population                         -0.014749          1.000000   \n","American Indian & Alaska Native          -0.042910          0.236116   \n","Asian                                     0.213610         -0.191559   \n","Black or African American                -0.056417         -0.056143   \n","Native Hawaiian & Other Pacific Islander -0.046142         -0.074011   \n","White (Not Hispanic or Latino)            0.120923         -0.434921   \n","Some Other Race                          -0.156699          0.518180   \n","Two or More Races                        -0.187254          0.399019   \n","Hispanic or Latino                       -0.187988          0.567363   \n","\n","                                          American Indian & Alaska Native  \\\n","Count                                                           -0.042910   \n","Total Population                                                 0.236116   \n","American Indian & Alaska Native                                  1.000000   \n","Asian                                                           -0.071678   \n","Black or African American                                        0.136654   \n","Native Hawaiian & Other Pacific Islander                         0.062137   \n","White (Not Hispanic or Latino)                                  -0.597757   \n","Some Other Race                                                  0.561940   \n","Two or More Races                                                0.346052   \n","Hispanic or Latino                                               0.580219   \n","\n","                                             Asian  Black or African American  \\\n","Count                                     0.213610                  -0.056417   \n","Total Population                         -0.191559                  -0.056143   \n","American Indian & Alaska Native          -0.071678                   0.136654   \n","Asian                                     1.000000                  -0.221929   \n","Black or African American                -0.221929                   1.000000   \n","Native Hawaiian & Other Pacific Islander  0.316545                   0.084180   \n","White (Not Hispanic or Latino)           -0.025500                  -0.394348   \n","Some Other Race                          -0.171722                  -0.009837   \n","Two or More Races                        -0.391575                  -0.033567   \n","Hispanic or Latino                       -0.289779                  -0.011242   \n","\n","                                          Native Hawaiian & Other Pacific Islander  \\\n","Count                                                                    -0.046142   \n","Total Population                                                         -0.074011   \n","American Indian & Alaska Native                                           0.062137   \n","Asian                                                                     0.316545   \n","Black or African American                                                 0.084180   \n","Native Hawaiian & Other Pacific Islander                                  1.000000   \n","White (Not Hispanic or Latino)                                           -0.183483   \n","Some Other Race                                                           0.000471   \n","Two or More Races                                                        -0.090186   \n","Hispanic or Latino                                                        0.008227   \n","\n","                                          White (Not Hispanic or Latino)  \\\n","Count                                                           0.120923   \n","Total Population                                               -0.434921   \n","American Indian & Alaska Native                                -0.597757   \n","Asian                                                          -0.025500   \n","Black or African American                                      -0.394348   \n","Native Hawaiian & Other Pacific Islander                       -0.183483   \n","White (Not Hispanic or Latino)                                  1.000000   \n","Some Other Race                                                -0.804907   \n","Two or More Races                                              -0.323713   \n","Hispanic or Latino                                             -0.829302   \n","\n","                                          Some Other Race  Two or More Races  \\\n","Count                                           -0.156699          -0.187254   \n","Total Population                                 0.518180           0.399019   \n","American Indian & Alaska Native                  0.561940           0.346052   \n","Asian                                           -0.171722          -0.391575   \n","Black or African American                       -0.009837          -0.033567   \n","Native Hawaiian & Other Pacific Islander         0.000471          -0.090186   \n","White (Not Hispanic or Latino)                  -0.804907          -0.323713   \n","Some Other Race                                  1.000000           0.273501   \n","Two or More Races                                0.273501           1.000000   \n","Hispanic or Latino                               0.924509           0.513096   \n","\n","                                          Hispanic or Latino  \n","Count                                              -0.187988  \n","Total Population                                    0.567363  \n","American Indian & Alaska Native                     0.580219  \n","Asian                                              -0.289779  \n","Black or African American                          -0.011242  \n","Native Hawaiian & Other Pacific Islander            0.008227  \n","White (Not Hispanic or Latino)                     -0.829302  \n","Some Other Race                                     0.924509  \n","Two or More Races                                   0.513096  \n","Hispanic or Latino                                  1.000000  "],"text/html":["\n","  <div id=\"df-d56c4073-6772-4268-af0e-edaa1785053e\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Count</th>\n","      <th>Total Population</th>\n"," 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<td>0.518180</td>\n","      <td>0.399019</td>\n","      <td>0.567363</td>\n","    </tr>\n","    <tr>\n","      <th>American Indian &amp; Alaska Native</th>\n","      <td>-0.042910</td>\n","      <td>0.236116</td>\n","      <td>1.000000</td>\n","      <td>-0.071678</td>\n","      <td>0.136654</td>\n","      <td>0.062137</td>\n","      <td>-0.597757</td>\n","      <td>0.561940</td>\n","      <td>0.346052</td>\n","      <td>0.580219</td>\n","    </tr>\n","    <tr>\n","      <th>Asian</th>\n","      <td>0.213610</td>\n","      <td>-0.191559</td>\n","      <td>-0.071678</td>\n","      <td>1.000000</td>\n","      <td>-0.221929</td>\n","      <td>0.316545</td>\n","      <td>-0.025500</td>\n","      <td>-0.171722</td>\n","      <td>-0.391575</td>\n","      <td>-0.289779</td>\n","    </tr>\n","    <tr>\n","      <th>Black or African American</th>\n","      <td>-0.056417</td>\n","      <td>-0.056143</td>\n","      <td>0.136654</td>\n","      <td>-0.221929</td>\n","      <td>1.000000</td>\n","      <td>0.084180</td>\n","      <td>-0.394348</td>\n","      <td>-0.009837</td>\n","      <td>-0.033567</td>\n","      <td>-0.011242</td>\n","    </tr>\n","    <tr>\n","      <th>Native Hawaiian &amp; Other Pacific Islander</th>\n","      <td>-0.046142</td>\n","      <td>-0.074011</td>\n","      <td>0.062137</td>\n","      <td>0.316545</td>\n","      <td>0.084180</td>\n","      <td>1.000000</td>\n","      <td>-0.183483</td>\n","      <td>0.000471</td>\n","      <td>-0.090186</td>\n","      <td>0.008227</td>\n","    </tr>\n","    <tr>\n","      <th>White (Not Hispanic or Latino)</th>\n","      <td>0.120923</td>\n","      <td>-0.434921</td>\n","      <td>-0.597757</td>\n","      <td>-0.025500</td>\n","      <td>-0.394348</td>\n","      <td>-0.183483</td>\n","      <td>1.000000</td>\n","      <td>-0.804907</td>\n","      <td>-0.323713</td>\n","      <td>-0.829302</td>\n","    </tr>\n","    <tr>\n","      <th>Some Other Race</th>\n","      <td>-0.156699</td>\n","      <td>0.518180</td>\n","      <td>0.561940</td>\n","      <td>-0.171722</td>\n","      <td>-0.009837</td>\n","      <td>0.000471</td>\n","      <td>-0.804907</td>\n","      <td>1.000000</td>\n","      <td>0.273501</td>\n","      <td>0.924509</td>\n","    </tr>\n","    <tr>\n","      <th>Two or More Races</th>\n","      <td>-0.187254</td>\n","      <td>0.399019</td>\n","      <td>0.346052</td>\n","      <td>-0.391575</td>\n","      <td>-0.033567</td>\n","      <td>-0.090186</td>\n","      <td>-0.323713</td>\n","      <td>0.273501</td>\n","      <td>1.000000</td>\n","      <td>0.513096</td>\n","    </tr>\n","    <tr>\n","      <th>Hispanic or Latino</th>\n","      <td>-0.187988</td>\n","      <td>0.567363</td>\n","      <td>0.580219</td>\n","      <td>-0.289779</td>\n","      <td>-0.011242</td>\n","      <td>0.008227</td>\n","      <td>-0.829302</td>\n","      <td>0.924509</td>\n","      <td>0.513096</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div 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]\n}"}},"metadata":{},"execution_count":98}]},{"cell_type":"code","source":["import pandas as pd\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","\n","# Assuming the data is already loaded and prepared as in the previous step\n","# Continue from the previous example\n","\n","# Calculate the correlation matrix\n","correlation_matrix = df[columns_to_analyze].corr()\n","\n","# Plot the heatmap\n","plt.figure(figsize=(10, 8))\n","sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\", linewidths=0.5)\n","plt.title(\"Correlation Matrix Heatmap\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":812},"id":"z_ovLshdFGLi","executionInfo":{"status":"ok","timestamp":1723491210277,"user_tz":420,"elapsed":3025,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"71852620-1daa-45ce-d514-56ece12f523a"},"execution_count":99,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x800 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["In order to further study the wrongful eviction cases, we segmented population based on the races. The above heatmap gives the correlation between the count of the wrongful eviction cases and the respective racial population. We observe that the highest correlation of 'count' was with Asians (0.21) followed by the Whites(0.12) These positive values tell us that the most affected races for these wrongful evictions were Asians.\n","The heatmap also shows the relation between 'Total Population' and the various races. The correlation value of 0.57 for Hispanics or Latinos with the 'Total Population' shows that people from the Hispanic communities prefer crowded areas for their housing whereas on the contrary, the highest negatively correlated value of -0.43 for White depicts that the Whites prefer areas with less crowding for housing. Along with that, the map can also tell us the preferences of races among themselves, when choosing a housing neighborhood."],"metadata":{"id":"GnR4evuGFipB"}},{"cell_type":"markdown","source":["### Conclusion"],"metadata":{"id":"rZroQoUnMPNW"}},{"cell_type":"markdown","source":["\n","\n","*   The data set had around 21k wrongful evictions(rent owed < FMR value) as compared to the total 65k values.\n","*   The major cause for these wrongful evictions were listed to be 'Non-payment of rent', which shouldn't be valid if the rent owed value is less than the FMR value.\n","*   The trends show no overarching between the household income vs the wrongful evictions per zip code. However, the map representation showed a few clusters and trends around the zip codes where the 75th percentile cases were of wrongful evictions (West Hollywood, Eastern Beverly Hills, Downtown LA, China Town in the north). The least affected areas with wrongful evictions were Southern areas, Angelwood, Pasadena etc.\n","*   For further closer inpection, we segmented population based on the races. We observed that the highest correlation of wrongful evictions was with Asians (0.21) followed by the Whites(0.12), therefore implying that the most affected races for wrongful evictions were Asians. It can also be seen that Hispanics or Latinos preferred neighborhoods with high population whereas the Whites preferred less crowded areas for housing.\n","\n","\n","\n","\n","\n","\n"],"metadata":{"id":"aVMurYkEMR9K"}},{"cell_type":"code","source":[],"metadata":{"id":"SwoFe829FGJM"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"zG8e5DB_FGGl"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"K--IN6R4FGEP"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"bKcfIIBcFGBo"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"E4wB4eneFF-i"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"zSrrLKy1_WP5"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"vauRTsfIECdu"},"execution_count":null,"outputs":[]}]}
\ No newline at end of file
diff --git a/la_eviction/Web_Scraping_Income_and_PopulationByRace_Dataset.ipynb b/la_eviction/Web_Scraping_Income_and_PopulationByRace_Dataset.ipynb
new file mode 100644
index 0000000..1f8107c
--- /dev/null
+++ b/la_eviction/Web_Scraping_Income_and_PopulationByRace_Dataset.ipynb
@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyMA43LPeIEbOSaHBurXDg3G"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["### Web Scraping the Median Income Dataset"],"metadata":{"id":"_NvgzBXAoa9R"}},{"cell_type":"code","execution_count":2,"metadata":{"id":"lUkasXNs2Lr3","executionInfo":{"status":"ok","timestamp":1723433074971,"user_tz":420,"elapsed":1634,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"outputs":[],"source":["import requests\n","from bs4 import BeautifulSoup\n","import pandas as pd\n","\n","# URL of the webpage\n","url = 'https://www.laalmanac.com/employment/em12c.php'\n","\n","# Send a GET request to the webpage\n","response = requests.get(url)\n","\n","# Parse the HTML content using BeautifulSoup\n","soup = BeautifulSoup(response.text, 'html.parser')\n"]},{"cell_type":"code","source":["soup"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jk4TGIRt2Opi","executionInfo":{"status":"ok","timestamp":1723433076918,"user_tz":420,"elapsed":396,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"ef45c884-c2ca-4c2c-8986-f57bf6859aaa"},"execution_count":3,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<!DOCTYPE html>\n","\n","<html lang=\"en-US\">\n","<head>\n","<!-- Global Site Tag (gtag.js) - Google Analytics -->\n","<script async=\"\" src=\"https://www.googletagmanager.com/gtag/js?id=GA_TRACKING_ID\"></script>\n","<script>\n","        window.dataLayer = window.dataLayer || [];\n","        function gtag(){dataLayer.push(arguments);}\n","        gtag('js', new Date());\n","\n","        gtag('config', 'UA-31515633-1');\n","      </script>\n","<meta charset=\"utf-8\"/>\n","<meta content=\"width=device-width, initial-scale=1.0\" 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Income\"/>\n","<p class=\"image-caption\">Image by Nikolay Frolochkin via <a href=\"https://pixabay.com/users/nikolayfrolochkin-2231981/\" target=\"_blank\">Pixabay.com</a>.</p>\n","<br/>\n","<p class=\"comment-box\"><b>Also see:</b><br>\n","-- <a href=\"https://www.laalmanac.com/employment/em12.php\">Estimated Income by Community</a><br>\n","-- <a href=\"https://www.laalmanac.com/employment/em12d.php\">Zip Codes with Highest Estimated Median Household Income</a><br>\n","-- Los Angeles County Median Household Income by Zip Code, <a href=\"https://www.laalmanac.com/employment/em12c_2015.php\">2015</a><br/>\n","-- Los Angeles County Median Household Income by Zip Code, <a href=\"https://www.laalmanac.com/employment/em12c_2017.php\">2017</a><br/>\n","-- Los Angeles County Median Household Income by Zip Code, <a href=\"https://www.laalmanac.com/employment/em12c_2019.php\">2019</a><br/>\n","-- Los Angeles County Median Household Income by Zip Code, <a href=\"https://www.laalmanac.com/employment/em12c_2021.php\">2021</a></br></br></br></p>\n","<h3>Median Household Income, 2022 Census Estimate*</h3>\n","<p><b>In 2022 Inflation-Adjusted Dollars</b></p>\n","<table>\n","<col class=\"column-10\"/>\n","<col class=\"column-73\"/>\n","<col class=\"column-17\"/>\n","<tr>\n","<td class=\"text-left\">90001</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles), Florence-Graham</td>\n","<td>$57,698</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90002</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Watts)</td>\n","<td>$54,221</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90003</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles, Southeast Los Angeles)</td>\n","<td>$51,275</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90004</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Rampart Village, Virgil Village, Wilshire Center, Windsor Square)</td>\n","<td>$58,420</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90005</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Koreatown, Wilshire Center, Wilshire Park, Windsor Square)</td>\n","<td>$49,226</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90006</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Byzantine-Latino Quarter, Harvard Heights, Koreatown, Pico Heights)</td>\n","<td>$47,599</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90007</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Univerity Park)</td>\n","<td>$36,326</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90008</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Baldwin Hills, Crenshaw, Leimert Park)</td>\n","<td>$57,880</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90010</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Wilshire Center, Windsor Square)</td>\n","<td>$92,454</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90011</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles)</td>\n","<td>$51,819</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90012</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Civic Center, Chinatown, Arts District, Bunker Hill, Historic Core, Little Tokyo)</td>\n","<td>$58,444</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90013</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Central, Downtown Fashion District)</td>\n","<td>$24,853</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90014</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Historic Core, Arts District)</td>\n","<td>$26,550</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90015</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Dowtown Fashion District, South Park-South)</td>\n","<td>$61,959</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90016</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Adams)</td>\n","<td>$63,090</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90017</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Bunker Hill, City West, South Park-North)</td>\n","<td>$46,626</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90018</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Jefferson Park, Leimert Park)</td>\n","<td>$58,987</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90019</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Arlington Heights, Country Club Park, Mid-City)</td>\n","<td>$65,972</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90020</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Western Wilton, Wilshire Center, Windsor Square)</td>\n","<td>$55,321</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90021</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Fashion District, Downtown Southeast)</td>\n","<td>$29,659</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90022</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u11.php\">East Los Angeles</a></td>\n","<td>$65,142</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90023</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci18.php\">Commerce</a>, <a href=\"https://www.laalmanac.com/cities/ci95u11.php\">East Los Angeles</a></td>\n","<td>$52,918</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90024</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Westwood)</td>\n","<td>$74,852</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90025</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sawtelle, West Los Angeles)</td>\n","<td>$103,511</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90026</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Echo Park, Silver Lake)</td>\n","<td>$80,549</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90027</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Griffith Park, Hollywood, Los Feliz)</td>\n","<td>$86,826</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90028</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n","<td>$57,258</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90029</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (East Hollywood)</td>\n","<td>$56,529</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90031</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lincoln Heights, Montecito Heights)</td>\n","<td>$59,889</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90032</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (El Sereno, Monterey Hills)</td>\n","<td>$76,608</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90033</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Boyle Heights)</td>\n","<td>$50,616</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90034</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Palms)</td>\n","<td>$97,511</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90035</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Fairfax)</td>\n","<td>$110,520</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90036</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Fairfax, Melrose, Miracle Mile, Park La Brea, Wilshire-La Brea)</td>\n","<td>$97,583</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90037</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$52,238</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90038</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n","<td>$57,102</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90039</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Atwater Village, Elysian Valley, Silver Lake)</td>\n","<td>$108,338</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90040</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci18.php\">Commerce, City of</a></td>\n","<td>$62,083</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90041</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Eagle Rock)</td>\n","<td>$111,938</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90042</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Highland Park)</td>\n","<td>$89,168</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90043</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hyde Park, View Park, Windsor Hills)</td>\n","<td>$63,990</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90044</td>\n","<td class=\"text-left\">Athens, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$48,386</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90045</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Los Angeles International Airport, Westchester)</td>\n","<td>$125,692</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90046</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood), West Hollywood</td>\n","<td>$87,339</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90047</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$67,018</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90048</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mid-City West), West Hollywood</td>\n","<td>$102,244</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90049</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Bel Air Estates, Brentwood)</td>\n","<td>$161,605</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90056</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u17.php\">Ladera Heights</a></td>\n","<td>$123,457</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90057</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Westlake)</td>\n","<td>$46,513</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90058</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles), Vernon</td>\n","<td>$34,093</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90059</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Watts), Willowbrook</td>\n","<td>$50,939</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90061</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$56,837</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90062</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$61,422</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90063</td>\n","<td class=\"text-left\">City Terrace, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Boyle Heights)</td>\n","<td>$69,307</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90064</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Cheviot Hills, Rancho Park)</td>\n","<td>$123,929</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90065</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Cypress Park, Glassell Park, Mt Washington)</td>\n","<td>$88,329</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90066</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a>, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mar Vista)</td>\n","<td>$100,344</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90067</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Century City)</td>\n","<td>$125,995</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90068</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n","<td>$97,151</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90069</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood, Melrose), West Hollywood</td>\n","<td>$106,133</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90071</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Bunker Hill, City West, Historic Core, South Park-North) </td>\n","<td>No 2022 estimate ($90,546 in 2020)<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90077</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Bel Air Estates, Beverly Glen)</td>\n","<td>$203,194</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90094</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Playa Vista)</td>\n","<td>$156,536</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90201</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci08.php\">Bell</a>, <a href=\"https://www.laalmanac.com/cities/ci09.php\">Bell Gardens</a>, <a href=\"https://www.laalmanac.com/cities/ci21.php\">Cudahy</a></td>\n","<td>$53,692</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90210</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n","<td>$172,285</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90211</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n","<td>$115,025</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90212</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n","<td>$101,963</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90220</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, Rancho Dominguez</td>\n","<td>$69,901</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90221</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, <a href=\"https://www.laalmanac.com/cities/ci95u9.php\">East Rancho Dominguez</a></td>\n","<td>$64,439</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90222</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, Rosewood, <a href=\"https://www.laalmanac.com/cities/ci95u40.php\">Willowbrook</a></td>\n","<td>$68,722</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90230</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a></td>\n","<td>$107,870</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90232</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a></td>\n","<td>$113,278</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90240</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n","<td>$99,874</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90241</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n","<td>$81,220</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90242</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n","<td>$81,448</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90245</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci27.php\">El Segundo</a></td>\n","<td>$142,596</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90247</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n","<td>$70,012</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90248</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n","<td>$75,865</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90249</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n","<td>$83,125</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90250</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci32.php\">Hawthorne</a> (Holly Park)</td>\n","<td>$74,616</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90254</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci33.php\">Hermosa Beach</a></td>\n","<td>$149,500</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90255</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci35.php\">Huntington Park</a>, <a href=\"https://www.laalmanac.com/cities/ci95u33.php\">Walnut Park</a></td>\n","<td>$57,013</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90260</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci46.php\">Lawndale</a></td>\n","<td>$80,205</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90262</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci50.php\">Lynwood</a></td>\n","<td>$67,620</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90265</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci51.php\">Malibu</a></td>\n","<td>$186,264</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90266</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci52.php\">Manhattan Beach</a></td>\n","<td>$187,217</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90270</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci08.php\">Bell</a>, <a href=\"https://www.laalmanac.com/cities/ci53.php\">Maywood</a></td>\n","<td>$57,741</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90272</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Castellemare, Pacific Highlands, Pacific Palisades, Topanga State Park)</td>\n","<td>$225,256</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90274</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci59.php\">Palos Verdes Estates</a>, <a href=\"https://www.laalmanac.com/cities/ci66.php\">Rolling Hills</a>, <a href=\"https://www.laalmanac.com/cities/ci67.php\">Rolling Hills Estates</a></td>\n","<td>$206,013</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90275</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci59.php\">Palos Verdes Estates</a>, <a href=\"https://www.laalmanac.com/cities/ci64.php\">Rancho Palos Verdes</a>, <a href=\"https://www.laalmanac.com/cities/ci67.php\">Rolling Hills Estates</a></td>\n","<td>$166,602</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90277</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci65.php\">Redondo Beach</a>, <a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$120,008</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90278</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci65.php\">Redondo Beach</a>, <a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$143,785</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90280</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci79.php\">South Gate</a></td>\n","<td>$67,287</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90290</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28d.php\">Topanga</a></td>\n","<td>$138,316</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90291</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Venice)</td>\n","<td>$111,610</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90292</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Marina Peninsula), <a href=\"https://www.laalmanac.com/cities/ci95u21.php\">Marina del Rey</a></td>\n","<td>$136,854</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90293</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Playa del Rey)</td>\n","<td>$124,688</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90301</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$61,910</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90302</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$68,662</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90303</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$67,598</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90304</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a>, <a href=\"https://www.laalmanac.com/cities/ci95u19.php\">Lennox</a></td>\n","<td>$57,647</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90305</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$85,466</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90401</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a> (Downtown)</td>\n","<td>$89,892</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90402</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n","<td>$171,844</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90403</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n","<td>$123,391</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90404</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n","<td>$87,209</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90405</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a> (Ocean Park, Santa Monica Airport, Sunpark)</td>\n","<td>$101,713</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90501</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$89,926</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90502</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a>, <a href=\"https://www.laalmanac.com/cities/ci95u35.php\">West Carson</a></td>\n","<td>$95,528</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90503</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$117,364</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90504</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$101,773</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90505</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$108,857</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90601</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$96,209</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90602</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$63,956</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90603</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$117,324</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90604</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u10.php\">East La Mirada</a>, <a href=\"https://www.laalmanac.com/cities/ci95u28.php\">South Whittier</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$95,570</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90605</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28.php\">South Whittier</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$94,200</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90606</td>\n","<td class=\"text-left\">Los Nietos, <a href=\"https://www.laalmanac.com/cities/ci95u35.php\">West Whittier</a></td>\n","<td>$86,596</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90631</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci40.php\">La Habra Heights</a></td>\n","<td>$98,009</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90638</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci41.php\">La Mirada</a></td>\n","<td>$104,114</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90640</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Montebello/index.php\">Montebello</a></td>\n","<td>$72,163</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90650</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci57.php\">Norwalk</a></td>\n","<td>$91,259</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90660</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci62.php\">Pico Rivera</a></td>\n","<td>$82,539</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90670</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci74.php\">Santa Fe Springs</a></td>\n","<td>$83,259</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90701</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci04.php\">Artesia</a></td>\n","<td>$92,702</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90703</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci16.php\">Cerritos</a></td>\n","<td>$124,240</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90704</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci05.php\">Avalon</a>, Santa Catalina Island</td>\n","<td>$89,107</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90706</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci10.php\">Bellflower</a></td>\n","<td>$75,379</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90710</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Harbor City)</td>\n","<td>$75,114</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90712</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n","<td>$119,143</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90713</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n","<td>$123,809</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90715</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n","<td>$89,113</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90716</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci31.php\">Hawaiian Gardens</a></td>\n","<td>$73,784</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90717</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci47.php\">Lomita</a></td>\n","<td>$88,111</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90723</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci60.php\">Paramount</a></td>\n","<td>$67,130</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90731</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (San Pedro, Terminal Island)</td>\n","<td>$69,019</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90732</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (San Pedro), Rancho Palos Verdes</td>\n","<td>$115,120</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90740</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (overlaps Orange County)</td>\n","<td>$75,007</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90744</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Wilmington)</td>\n","<td>$58,869</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90745</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a></td>\n","<td>$103,471</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90746</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a></td>\n","<td>$109,596</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90755</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci77.php\">Signal Hill</a></td>\n","<td>$96,521</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90802</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$69,613</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90803</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (Belmont Shore, Marina, Naples)</td>\n","<td>$107,889</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90804</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (East Long Beach)</td>\n","<td>$64,160</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90805</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (North Long Beach)</td>\n","<td>$64,848</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90806</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$67,632</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90807</td>\n","<td class=\"text-left\">Long Beach (Bixby Knolls)</td>\n","<td>$89,319</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90808</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$131,535</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90810</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a>, Dominguez, <a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$75,152</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90813</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$48,535</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90814</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$89,776</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90815</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$110,565</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91001</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u3.php\">Altadena</a></td>\n","<td>$129,030</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91006</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci03.php\">Arcadia</a></td>\n","<td>$123,358</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91007</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci03.php\">Arcadia</a></td>\n","<td>$93,128</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91008</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci12.php\">Bradbury</a></td>\n","<td>$139,167</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91010</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci06.php\">Azusa</a>, <a href=\"https://www.laalmanac.com/cities/ci12.php\">Bradbury</a>, <a href=\"https://www.laalmanac.com/cities/ci25.php\">Duarte</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a>, <a href=\"https://www.laalmanac.com/cities/ci54.php\">Monrovia</a></td>\n","<td>$95,172</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91011</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci39.php\">La Cañada Flintridge</a></td>\n","<td>$210,532</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91016</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci54.php\">Monrovia</a></td>\n","<td>$95,606</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91020</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u16.php\">Montrose</a></td>\n","<td>$61,771</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91024</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci76.php\">Sierra Madre</a></td>\n","<td>$128,056</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91030</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci80.php\">South Pasadena</a></td>\n","<td>$127,882</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91040</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Shadow Hills, Sunland)</td>\n","<td>$103,823</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91042</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Tujunga)</td>\n","<td>$81,324</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91046</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Verdugo City)</td>\n","<td>No 2022 estimate<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91101</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$86,631</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91103</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$78,513</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91104</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$93,856</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91105</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$163,253</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91106</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$91,220</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91107</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$120,822</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91108</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci72.php\">San Marino</a></td>\n","<td>$173,312</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91201</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$67,102</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91202</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$90,232</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91203</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$70,650</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91204</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Tropico)</td>\n","<td>$69,102</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91205</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Tropico)</td>\n","<td>$58,290</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91206</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$85,651</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91207</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$106,984</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91208</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$112,485</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91210</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Glendale Galleria PO Boxes)</td>\n","<td>No 2022 estimate ($105,536 in 2021)<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91214</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a>, La Crescenta, <a href=\"https://www.laalmanac.com/cities/ci95u16.php\">Montrose</a></td>\n","<td>$126,175</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91301</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci01.php\">Agoura Hills</a>, Cornell</td>\n","<td>$157,582</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91302</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci14.php\">Calabasas</a>, <a href=\"https://www.laalmanac.com/cities/ci34.php\">Hidden Hills</a>, Monte Nido</td>\n","<td>$172,651</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91303</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Canoga Park)</td>\n","<td>$77,437</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91304</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Canoga Park, West Hills), Box Canyon</td>\n","<td>$79,673</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91306</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Winnetka)</td>\n","<td>$82,380</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91307</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Hills), Bell Canyon</td>\n","<td>$130,877</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91311</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Chatsworth)</td>\n","<td>$112,172</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91316</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Encino)</td>\n","<td>$85,354</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91321</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Newhall)</td>\n","<td>$84,503</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91324</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge)</td>\n","<td>$100,086</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91325</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge)</td>\n","<td>$83,853</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91326</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge, Porter Ranch)</td>\n","<td>$142,170</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91331</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Arleta, Hansen Hills, Pacoima)</td>\n","<td>$76,942</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91335</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Reseda)</td>\n","<td>$74,632</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91340</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci70.php\">San Fernando</a>, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mission Hills, Pacoima)</td>\n","<td>$71,664</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91342</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lake View Terrace, Sylmar), Kagel Canyon</td>\n","<td>$89,264</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91343</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hills)</td>\n","<td>$77,790</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91344</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Granada Hills)</td>\n","<td>$111,897</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91345</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mission Hills)</td>\n","<td>$93,622</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91350</td>\n","<td class=\"text-left\">Bouquet Canyon, <a href=\"https://www.laalmanac.com/cities/ci95u14b.php\">Green Valley</a>, Mint Canyon, <a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon County)</td>\n","<td>$137,626</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91351</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon Country)</td>\n","<td>$104,214</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91352</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (La Tuna Canyon, Sun Valley)</td>\n","<td>$68,132</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91354</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Valencia)</td>\n","<td>$145,442</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91355</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Valencia)</td>\n","<td>$109,752</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91356</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Tarzana)</td>\n","<td>$105,513</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91361</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci87.php\">Westlake Village</a></td>\n","<td>$127,304</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91362</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci87.php\">Westlake Village</a></td>\n","<td>$135,998</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91364</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Woodland Hills)</td>\n","<td>$128,306</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91367</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Woodland Hills)</td>\n","<td>$106,355</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91381</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28b.php\">Stevenson Ranch</a></td>\n","<td>$148,873</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91384</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4b.php\">Castaic</a>, <a href=\"https://www.laalmanac.com/cities/ci95u29.php\">Val Verde</a></td>\n","<td>$127,416</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91387</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon Country), Fair Oaks Ranch, Mint Canyon</td>\n","<td>$111,090</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91390</td>\n","<td class=\"text-left\">Agua Dulce, <a href=\"https://www.laalmanac.com/cities/ci95u14b.php\">Green Valley</a>, <a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Saugus)</td>\n","<td>$145,465</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91401</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Valley Glen, Van Nuys)</td>\n","<td>$72,476</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91402</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Panorama City)</td>\n","<td>$55,130</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91403</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sherman Oaks, Van Nuys)</td>\n","<td>$107,970</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91405</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Valley Glen)</td>\n","<td>$58,365</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91406</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lake Balboa, Van Nuys)</td>\n","<td>$71,819</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91411</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Van Nuys)</td>\n","<td>$73,669</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91423</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sherman Oaks, Van Nuys)</td>\n","<td>$104,205</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91436</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Encino)</td>\n","<td>$155,346</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91501</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$80,198</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91502</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$59,711</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91504</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a> (Glenoaks)</td>\n","<td>$99,318</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91505</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$104,361</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91506</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$104,009</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91601</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Toluca Terrace)</td>\n","<td>$73,735</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91602</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Studio City, Toluca Lake, West Toluca Lake)</td>\n","<td>$93,210</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91604</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Studio City)</td>\n","<td>$132,494</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91605</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood)</td>\n","<td>$61,031</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91606</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Valley Glen)</td>\n","<td>$64,976</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91607</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Sherman Village, Valley Glen, Valley Village)</td>\n","<td>$82,995</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91608</td>\n","<td class=\"text-left\">Universal City</td>\n","<td>$56,898</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91702</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci06.php\">Azusa</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a></td>\n","<td>$82,382</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91706</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci07.php\">Baldwin Park</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a></td>\n","<td>$76,348</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91711</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci17.php\">Claremont</a></td>\n","<td>$115,079</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91722</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n","<td>$95,157</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91723</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n","<td>$82,018</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91724</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u5.php\">Charter Oak</a>, <a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n","<td>$96,720</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91731</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a></td>\n","<td>$57,047</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91732</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a></td>\n","<td>$62,047</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91733</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a>, <a href=\"https://www.laalmanac.com/cities/ci78.php\">South El Monte</a></td>\n","<td>$63,883</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91740</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci30.php\">Glendora</a></td>\n","<td>$96,433</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91741</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci30.php\">Glendora</a></td>\n","<td>$117,252</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91744</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci42.php\">La Puente</a>, <a href=\"https://www.laalmanac.com/cities/ci95u30.php\">Valinda</a></td>\n","<td>$86,290</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91745</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u15.php\">Hacienda Heights</a></td>\n","<td>$101,427</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91746</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4.php\">Avocado Heights</a>, Bassett, <a href=\"https://www.laalmanac.com/cities/ci95u37.php\">West Puente Valley</a></td>\n","<td>$83,634</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91748</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci95u25.php\">Rowland Heights</a></td>\n","<td>$83,610</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91750</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci43.php\">La Verne</a></td>\n","<td>$103,774</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91754</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci56.php\">Monterey Park</a></td>\n","<td>$83,490</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91755</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci56.php\">Monterey Park</a></td>\n","<td>$70,459</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91759</td>\n","<td class=\"text-left\">Mount Baldy (Portion in LA County)</td>\n","<td>$111,071</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91765</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci23.php\">Diamond Bar</a></td>\n","<td>$105,712</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91766</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a> (Phillips Ranch)</td>\n","<td>$72,692</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91767</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a></td>\n","<td>$75,870</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91768</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a></td>\n","<td>$71,462</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91770</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci68.php\">Rosemead</a></td>\n","<td>$70,863</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91773</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci69.php\">San Dimas</a></td>\n","<td>$101,466</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91775</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci71.php\">San Gabriel</a></td>\n","<td>$107,359</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91776</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci71.php\">San Gabriel</a></td>\n","<td>$77,147</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91780</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci81.php\">Temple City</a></td>\n","<td>$94,946</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91789</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci36.php\">Diamond Bar</a>, <a href=\"https://www.laalmanac.com/cities/ci84.php\">Walnut</a></td>\n","<td>$123,555</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91790</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n","<td>$97,868</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91791</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n","<td>$96,470</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91792</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n","<td>$94,439</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91801</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci02.php\">Alhambra</a></td>\n","<td>$81,580</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91803</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci02.php\">Alhambra</a></td>\n","<td>$76,694</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93510</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u1.php\">Acton</a></td>\n","<td>$123,438</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93532</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u13b.php\">Elizabeth Lake</a>, <a href=\"https://www.laalmanac.com/cities/ci95u17b.php\">Lake Hughes</a>, <a href=\"https://www.laalmanac.com/cities/ci95u19b.php\">Leona Valley</a>, Sandberg, Three Points</td>\n","<td>$98,788</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93534</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a></td>\n","<td>$55,945</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93535</td>\n","<td class=\"text-left\">Hi Vista, <a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a>, Roosevelt Corner, Wilsona Gardens</td>\n","<td>$61,183</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93536</td>\n","<td class=\"text-left\">Del Sur, Fairmont, <a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a>, Metler Valley, Neenach, <a href=\"https://www.laalmanac.com/cities/ci95u24.php\">Quartz Hill</a></td>\n","<td>$97,418</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93543</td>\n","<td class=\"text-left\">Juniper Hills, <a href=\"https://www.laalmanac.com/cities/ci95u20.php\">Littlerock</a>, <a href=\"https://www.laalmanac.com/cities/ci95u28c.php\">Sun Village</a></td>\n","<td>$69,727</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93544</td>\n","<td class=\"text-left\">Crystalaire, Llano</td>\n","<td>$80,560</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93550</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$61,394</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93551</td>\n","<td class=\"text-left\">City Ranch, <a href=\"https://www.laalmanac.com/cities/ci95u19b.php\">Leona Valley</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$107,133</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93552</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$85,890</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93553</td>\n","<td class=\"text-left\">Juniper Hills, Pearblossom</td>\n","<td>$71,587</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93563</td>\n","<td class=\"text-left\">Pearblossom, Valyermo</td>\n","<td>No 2022 estimate ($210,600 in 2021)<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93591</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$57,826</td>\n","</tr>\n","\n","</table>\n","<p class=\"sub-notes\">* U.S. Census Bureau American Community Survey, 2022 5-year estimates, calculated from survey data collected over period 2018-2022.<br/>\n","† This zip code contained a very small population. There were either no sample observations here or too few sample observations to compute an estimate, or its ratio of medians could not be calculated due to one or both of the median estimates falling in the lowest interval or upper interval of an open-ended distribution.</p>\n","<p>Source: <a href=\"http://www.census.gov/\" target=\"_blank\">U.S. Census Bureau</a></p>\n","<br/>\n","</div><!-- closes class=\"content-box\" -->\n","</div></section><!-- end of section class= \"s-12, m8, 1-9 right\" -->\n","<!-- SIDE BAR -->\n","<aside class=\"s-12 m-4 l-3 ad-box\">\n","<div class=\"aside-nav minimize-on-small\"><br/>\n","<div><!-- Open Google Ad LA_Responsive_Side1 -->\n","<script async=\"\" src=\"//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js\"></script>\n","<!-- LA_Responsive_Side1 -->\n","<ins class=\"adsbygoogle\" data-ad-client=\"ca-pub-7924120860686565\" data-ad-format=\"vertical\" data-ad-slot=\"7550994415\" style=\"display:block\"></ins>\n","<script>\n","                    \t  (adsbygoogle = window.adsbygoogle || []).push({});\n","                    \t  </script>\n","</div><!-- Close Google Ad LA_Responsive_Side1 -->\n","<br/><div class=\"ad-box-internal-border\"></div>\n","<br/>\n","<!-- Open Map Ad -->\n","<h2><a href=\"https://www.laalmanac.com/maps/index.php\"><b>L.A. 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class=\"text-left\">90001</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles), Florence-Graham</td>\n","<td>$57,698</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90002</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Watts)</td>\n","<td>$54,221</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90003</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles, Southeast Los Angeles)</td>\n","<td>$51,275</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90004</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Rampart Village, Virgil Village, Wilshire Center, Windsor Square)</td>\n","<td>$58,420</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90005</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Koreatown, Wilshire Center, Wilshire Park, Windsor Square)</td>\n","<td>$49,226</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90006</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Byzantine-Latino Quarter, Harvard Heights, Koreatown, Pico Heights)</td>\n","<td>$47,599</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90007</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Univerity Park)</td>\n","<td>$36,326</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90008</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Baldwin Hills, Crenshaw, Leimert Park)</td>\n","<td>$57,880</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90010</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Wilshire Center, Windsor Square)</td>\n","<td>$92,454</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90011</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles)</td>\n","<td>$51,819</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90012</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Civic Center, Chinatown, Arts District, Bunker Hill, Historic Core, Little Tokyo)</td>\n","<td>$58,444</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90013</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Central, Downtown Fashion District)</td>\n","<td>$24,853</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90014</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Historic Core, Arts District)</td>\n","<td>$26,550</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90015</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Dowtown Fashion District, South Park-South)</td>\n","<td>$61,959</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90016</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Adams)</td>\n","<td>$63,090</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90017</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Bunker Hill, City West, South Park-North)</td>\n","<td>$46,626</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90018</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Jefferson Park, Leimert Park)</td>\n","<td>$58,987</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90019</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Arlington Heights, Country Club Park, Mid-City)</td>\n","<td>$65,972</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90020</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Western Wilton, Wilshire Center, Windsor Square)</td>\n","<td>$55,321</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90021</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Fashion District, Downtown Southeast)</td>\n","<td>$29,659</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90022</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u11.php\">East Los Angeles</a></td>\n","<td>$65,142</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90023</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci18.php\">Commerce</a>, <a href=\"https://www.laalmanac.com/cities/ci95u11.php\">East Los Angeles</a></td>\n","<td>$52,918</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90024</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Westwood)</td>\n","<td>$74,852</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90025</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sawtelle, West Los Angeles)</td>\n","<td>$103,511</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90026</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Echo Park, Silver Lake)</td>\n","<td>$80,549</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90027</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Griffith Park, Hollywood, Los Feliz)</td>\n","<td>$86,826</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90028</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n","<td>$57,258</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90029</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (East Hollywood)</td>\n","<td>$56,529</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90031</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lincoln Heights, Montecito Heights)</td>\n","<td>$59,889</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90032</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (El Sereno, Monterey Hills)</td>\n","<td>$76,608</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90033</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Boyle Heights)</td>\n","<td>$50,616</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90034</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Palms)</td>\n","<td>$97,511</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90035</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Fairfax)</td>\n","<td>$110,520</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90036</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Fairfax, Melrose, Miracle Mile, Park La Brea, Wilshire-La Brea)</td>\n","<td>$97,583</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90037</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$52,238</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90038</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n","<td>$57,102</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90039</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Atwater Village, Elysian Valley, Silver Lake)</td>\n","<td>$108,338</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90040</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci18.php\">Commerce, City of</a></td>\n","<td>$62,083</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90041</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Eagle Rock)</td>\n","<td>$111,938</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90042</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Highland Park)</td>\n","<td>$89,168</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90043</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hyde Park, View Park, Windsor Hills)</td>\n","<td>$63,990</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90044</td>\n","<td class=\"text-left\">Athens, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$48,386</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90045</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Los Angeles International Airport, Westchester)</td>\n","<td>$125,692</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90046</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood), West Hollywood</td>\n","<td>$87,339</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90047</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$67,018</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90048</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mid-City West), West Hollywood</td>\n","<td>$102,244</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90049</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Bel Air Estates, Brentwood)</td>\n","<td>$161,605</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90056</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u17.php\">Ladera Heights</a></td>\n","<td>$123,457</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90057</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Westlake)</td>\n","<td>$46,513</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90058</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles), Vernon</td>\n","<td>$34,093</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90059</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Watts), Willowbrook</td>\n","<td>$50,939</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90061</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$56,837</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90062</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n","<td>$61,422</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90063</td>\n","<td class=\"text-left\">City Terrace, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Boyle Heights)</td>\n","<td>$69,307</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90064</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Cheviot Hills, Rancho Park)</td>\n","<td>$123,929</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90065</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Cypress Park, Glassell Park, Mt Washington)</td>\n","<td>$88,329</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90066</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a>, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mar Vista)</td>\n","<td>$100,344</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90067</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Century City)</td>\n","<td>$125,995</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90068</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n","<td>$97,151</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90069</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood, Melrose), West Hollywood</td>\n","<td>$106,133</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90071</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Bunker Hill, City West, Historic Core, South Park-North) </td>\n","<td>No 2022 estimate ($90,546 in 2020)<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90077</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Bel Air Estates, Beverly Glen)</td>\n","<td>$203,194</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90094</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Playa Vista)</td>\n","<td>$156,536</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90201</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci08.php\">Bell</a>, <a href=\"https://www.laalmanac.com/cities/ci09.php\">Bell Gardens</a>, <a href=\"https://www.laalmanac.com/cities/ci21.php\">Cudahy</a></td>\n","<td>$53,692</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90210</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n","<td>$172,285</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90211</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n","<td>$115,025</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90212</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n","<td>$101,963</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90220</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, Rancho Dominguez</td>\n","<td>$69,901</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90221</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, <a href=\"https://www.laalmanac.com/cities/ci95u9.php\">East Rancho Dominguez</a></td>\n","<td>$64,439</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90222</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, Rosewood, <a href=\"https://www.laalmanac.com/cities/ci95u40.php\">Willowbrook</a></td>\n","<td>$68,722</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90230</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a></td>\n","<td>$107,870</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90232</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a></td>\n","<td>$113,278</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90240</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n","<td>$99,874</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90241</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n","<td>$81,220</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90242</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n","<td>$81,448</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90245</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci27.php\">El Segundo</a></td>\n","<td>$142,596</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90247</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n","<td>$70,012</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90248</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n","<td>$75,865</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90249</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n","<td>$83,125</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90250</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci32.php\">Hawthorne</a> (Holly Park)</td>\n","<td>$74,616</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90254</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci33.php\">Hermosa Beach</a></td>\n","<td>$149,500</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90255</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci35.php\">Huntington Park</a>, <a href=\"https://www.laalmanac.com/cities/ci95u33.php\">Walnut Park</a></td>\n","<td>$57,013</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90260</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci46.php\">Lawndale</a></td>\n","<td>$80,205</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90262</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci50.php\">Lynwood</a></td>\n","<td>$67,620</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90265</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci51.php\">Malibu</a></td>\n","<td>$186,264</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90266</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci52.php\">Manhattan Beach</a></td>\n","<td>$187,217</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90270</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci08.php\">Bell</a>, <a href=\"https://www.laalmanac.com/cities/ci53.php\">Maywood</a></td>\n","<td>$57,741</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90272</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Castellemare, Pacific Highlands, Pacific Palisades, Topanga State Park)</td>\n","<td>$225,256</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90274</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci59.php\">Palos Verdes Estates</a>, <a href=\"https://www.laalmanac.com/cities/ci66.php\">Rolling Hills</a>, <a href=\"https://www.laalmanac.com/cities/ci67.php\">Rolling Hills Estates</a></td>\n","<td>$206,013</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90275</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci59.php\">Palos Verdes Estates</a>, <a href=\"https://www.laalmanac.com/cities/ci64.php\">Rancho Palos Verdes</a>, <a href=\"https://www.laalmanac.com/cities/ci67.php\">Rolling Hills Estates</a></td>\n","<td>$166,602</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90277</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci65.php\">Redondo Beach</a>, <a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$120,008</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90278</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci65.php\">Redondo Beach</a>, <a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$143,785</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90280</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci79.php\">South Gate</a></td>\n","<td>$67,287</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90290</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28d.php\">Topanga</a></td>\n","<td>$138,316</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90291</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Venice)</td>\n","<td>$111,610</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90292</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Marina Peninsula), <a href=\"https://www.laalmanac.com/cities/ci95u21.php\">Marina del Rey</a></td>\n","<td>$136,854</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90293</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Playa del Rey)</td>\n","<td>$124,688</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90301</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$61,910</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90302</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$68,662</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90303</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$67,598</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90304</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a>, <a href=\"https://www.laalmanac.com/cities/ci95u19.php\">Lennox</a></td>\n","<td>$57,647</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90305</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n","<td>$85,466</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90401</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a> (Downtown)</td>\n","<td>$89,892</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90402</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n","<td>$171,844</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90403</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n","<td>$123,391</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90404</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n","<td>$87,209</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90405</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a> (Ocean Park, Santa Monica Airport, Sunpark)</td>\n","<td>$101,713</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90501</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$89,926</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90502</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a>, <a href=\"https://www.laalmanac.com/cities/ci95u35.php\">West Carson</a></td>\n","<td>$95,528</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90503</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$117,364</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90504</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$101,773</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90505</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n","<td>$108,857</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90601</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$96,209</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90602</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$63,956</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90603</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$117,324</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90604</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u10.php\">East La Mirada</a>, <a href=\"https://www.laalmanac.com/cities/ci95u28.php\">South Whittier</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$95,570</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90605</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28.php\">South Whittier</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n","<td>$94,200</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90606</td>\n","<td class=\"text-left\">Los Nietos, <a href=\"https://www.laalmanac.com/cities/ci95u35.php\">West Whittier</a></td>\n","<td>$86,596</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90631</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci40.php\">La Habra Heights</a></td>\n","<td>$98,009</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90638</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci41.php\">La Mirada</a></td>\n","<td>$104,114</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90640</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Montebello/index.php\">Montebello</a></td>\n","<td>$72,163</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90650</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci57.php\">Norwalk</a></td>\n","<td>$91,259</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90660</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci62.php\">Pico Rivera</a></td>\n","<td>$82,539</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90670</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci74.php\">Santa Fe Springs</a></td>\n","<td>$83,259</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90701</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci04.php\">Artesia</a></td>\n","<td>$92,702</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90703</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci16.php\">Cerritos</a></td>\n","<td>$124,240</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90704</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci05.php\">Avalon</a>, Santa Catalina Island</td>\n","<td>$89,107</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90706</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci10.php\">Bellflower</a></td>\n","<td>$75,379</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90710</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Harbor City)</td>\n","<td>$75,114</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90712</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n","<td>$119,143</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90713</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n","<td>$123,809</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90715</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n","<td>$89,113</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90716</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci31.php\">Hawaiian Gardens</a></td>\n","<td>$73,784</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90717</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci47.php\">Lomita</a></td>\n","<td>$88,111</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90723</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci60.php\">Paramount</a></td>\n","<td>$67,130</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90731</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (San Pedro, Terminal Island)</td>\n","<td>$69,019</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90732</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (San Pedro), Rancho Palos Verdes</td>\n","<td>$115,120</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90740</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (overlaps Orange County)</td>\n","<td>$75,007</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90744</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Wilmington)</td>\n","<td>$58,869</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90745</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a></td>\n","<td>$103,471</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90746</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a></td>\n","<td>$109,596</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90755</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci77.php\">Signal Hill</a></td>\n","<td>$96,521</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90802</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$69,613</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90803</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (Belmont Shore, Marina, Naples)</td>\n","<td>$107,889</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90804</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (East Long Beach)</td>\n","<td>$64,160</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90805</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (North Long Beach)</td>\n","<td>$64,848</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90806</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$67,632</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90807</td>\n","<td class=\"text-left\">Long Beach (Bixby Knolls)</td>\n","<td>$89,319</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90808</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$131,535</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90810</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a>, Dominguez, <a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$75,152</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90813</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$48,535</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90814</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$89,776</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90815</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n","<td>$110,565</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91001</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u3.php\">Altadena</a></td>\n","<td>$129,030</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91006</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci03.php\">Arcadia</a></td>\n","<td>$123,358</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91007</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci03.php\">Arcadia</a></td>\n","<td>$93,128</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91008</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci12.php\">Bradbury</a></td>\n","<td>$139,167</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91010</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci06.php\">Azusa</a>, <a href=\"https://www.laalmanac.com/cities/ci12.php\">Bradbury</a>, <a href=\"https://www.laalmanac.com/cities/ci25.php\">Duarte</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a>, <a href=\"https://www.laalmanac.com/cities/ci54.php\">Monrovia</a></td>\n","<td>$95,172</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91011</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci39.php\">La Cañada Flintridge</a></td>\n","<td>$210,532</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91016</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci54.php\">Monrovia</a></td>\n","<td>$95,606</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91020</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u16.php\">Montrose</a></td>\n","<td>$61,771</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91024</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci76.php\">Sierra Madre</a></td>\n","<td>$128,056</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91030</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci80.php\">South Pasadena</a></td>\n","<td>$127,882</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91040</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Shadow Hills, Sunland)</td>\n","<td>$103,823</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91042</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Tujunga)</td>\n","<td>$81,324</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91046</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Verdugo City)</td>\n","<td>No 2022 estimate<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91101</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$86,631</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91103</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$78,513</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91104</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$93,856</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91105</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$163,253</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91106</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$91,220</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91107</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n","<td>$120,822</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91108</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci72.php\">San Marino</a></td>\n","<td>$173,312</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91201</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$67,102</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91202</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$90,232</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91203</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$70,650</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91204</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Tropico)</td>\n","<td>$69,102</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91205</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Tropico)</td>\n","<td>$58,290</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91206</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$85,651</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91207</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$106,984</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91208</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n","<td>$112,485</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91210</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Glendale Galleria PO Boxes)</td>\n","<td>No 2022 estimate ($105,536 in 2021)<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91214</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a>, La Crescenta, <a href=\"https://www.laalmanac.com/cities/ci95u16.php\">Montrose</a></td>\n","<td>$126,175</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91301</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci01.php\">Agoura Hills</a>, Cornell</td>\n","<td>$157,582</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91302</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci14.php\">Calabasas</a>, <a href=\"https://www.laalmanac.com/cities/ci34.php\">Hidden Hills</a>, Monte Nido</td>\n","<td>$172,651</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91303</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Canoga Park)</td>\n","<td>$77,437</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91304</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Canoga Park, West Hills), Box Canyon</td>\n","<td>$79,673</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91306</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Winnetka)</td>\n","<td>$82,380</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91307</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Hills), Bell Canyon</td>\n","<td>$130,877</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91311</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Chatsworth)</td>\n","<td>$112,172</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91316</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Encino)</td>\n","<td>$85,354</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91321</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Newhall)</td>\n","<td>$84,503</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91324</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge)</td>\n","<td>$100,086</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91325</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge)</td>\n","<td>$83,853</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91326</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge, Porter Ranch)</td>\n","<td>$142,170</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91331</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Arleta, Hansen Hills, Pacoima)</td>\n","<td>$76,942</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91335</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Reseda)</td>\n","<td>$74,632</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91340</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci70.php\">San Fernando</a>, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mission Hills, Pacoima)</td>\n","<td>$71,664</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91342</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lake View Terrace, Sylmar), Kagel Canyon</td>\n","<td>$89,264</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91343</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hills)</td>\n","<td>$77,790</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91344</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Granada Hills)</td>\n","<td>$111,897</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91345</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mission Hills)</td>\n","<td>$93,622</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91350</td>\n","<td class=\"text-left\">Bouquet Canyon, <a href=\"https://www.laalmanac.com/cities/ci95u14b.php\">Green Valley</a>, Mint Canyon, <a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon County)</td>\n","<td>$137,626</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91351</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon Country)</td>\n","<td>$104,214</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91352</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (La Tuna Canyon, Sun Valley)</td>\n","<td>$68,132</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91354</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Valencia)</td>\n","<td>$145,442</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91355</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Valencia)</td>\n","<td>$109,752</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91356</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Tarzana)</td>\n","<td>$105,513</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91361</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci87.php\">Westlake Village</a></td>\n","<td>$127,304</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91362</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci87.php\">Westlake Village</a></td>\n","<td>$135,998</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91364</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Woodland Hills)</td>\n","<td>$128,306</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91367</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Woodland Hills)</td>\n","<td>$106,355</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91381</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28b.php\">Stevenson Ranch</a></td>\n","<td>$148,873</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91384</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4b.php\">Castaic</a>, <a href=\"https://www.laalmanac.com/cities/ci95u29.php\">Val Verde</a></td>\n","<td>$127,416</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91387</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon Country), Fair Oaks Ranch, Mint Canyon</td>\n","<td>$111,090</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91390</td>\n","<td class=\"text-left\">Agua Dulce, <a href=\"https://www.laalmanac.com/cities/ci95u14b.php\">Green Valley</a>, <a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Saugus)</td>\n","<td>$145,465</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91401</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Valley Glen, Van Nuys)</td>\n","<td>$72,476</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91402</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Panorama City)</td>\n","<td>$55,130</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91403</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sherman Oaks, Van Nuys)</td>\n","<td>$107,970</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91405</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Valley Glen)</td>\n","<td>$58,365</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91406</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lake Balboa, Van Nuys)</td>\n","<td>$71,819</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91411</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Van Nuys)</td>\n","<td>$73,669</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91423</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sherman Oaks, Van Nuys)</td>\n","<td>$104,205</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91436</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Encino)</td>\n","<td>$155,346</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91501</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$80,198</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91502</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$59,711</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91504</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a> (Glenoaks)</td>\n","<td>$99,318</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91505</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$104,361</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91506</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n","<td>$104,009</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91601</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Toluca Terrace)</td>\n","<td>$73,735</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91602</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Studio City, Toluca Lake, West Toluca Lake)</td>\n","<td>$93,210</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91604</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Studio City)</td>\n","<td>$132,494</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91605</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood)</td>\n","<td>$61,031</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91606</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Valley Glen)</td>\n","<td>$64,976</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91607</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Sherman Village, Valley Glen, Valley Village)</td>\n","<td>$82,995</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91608</td>\n","<td class=\"text-left\">Universal City</td>\n","<td>$56,898</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91702</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci06.php\">Azusa</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a></td>\n","<td>$82,382</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91706</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci07.php\">Baldwin Park</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a></td>\n","<td>$76,348</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91711</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci17.php\">Claremont</a></td>\n","<td>$115,079</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91722</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n","<td>$95,157</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91723</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n","<td>$82,018</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91724</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u5.php\">Charter Oak</a>, <a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n","<td>$96,720</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91731</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a></td>\n","<td>$57,047</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91732</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a></td>\n","<td>$62,047</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91733</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a>, <a href=\"https://www.laalmanac.com/cities/ci78.php\">South El Monte</a></td>\n","<td>$63,883</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91740</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci30.php\">Glendora</a></td>\n","<td>$96,433</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91741</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci30.php\">Glendora</a></td>\n","<td>$117,252</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91744</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci42.php\">La Puente</a>, <a href=\"https://www.laalmanac.com/cities/ci95u30.php\">Valinda</a></td>\n","<td>$86,290</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91745</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u15.php\">Hacienda Heights</a></td>\n","<td>$101,427</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91746</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4.php\">Avocado Heights</a>, Bassett, <a href=\"https://www.laalmanac.com/cities/ci95u37.php\">West Puente Valley</a></td>\n","<td>$83,634</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91748</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci95u25.php\">Rowland Heights</a></td>\n","<td>$83,610</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91750</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci43.php\">La Verne</a></td>\n","<td>$103,774</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91754</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci56.php\">Monterey Park</a></td>\n","<td>$83,490</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91755</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci56.php\">Monterey Park</a></td>\n","<td>$70,459</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91759</td>\n","<td class=\"text-left\">Mount Baldy (Portion in LA County)</td>\n","<td>$111,071</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91765</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci23.php\">Diamond Bar</a></td>\n","<td>$105,712</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91766</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a> (Phillips Ranch)</td>\n","<td>$72,692</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91767</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a></td>\n","<td>$75,870</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91768</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a></td>\n","<td>$71,462</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91770</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci68.php\">Rosemead</a></td>\n","<td>$70,863</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91773</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci69.php\">San Dimas</a></td>\n","<td>$101,466</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91775</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci71.php\">San Gabriel</a></td>\n","<td>$107,359</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91776</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci71.php\">San Gabriel</a></td>\n","<td>$77,147</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91780</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci81.php\">Temple City</a></td>\n","<td>$94,946</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91789</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci36.php\">Diamond Bar</a>, <a href=\"https://www.laalmanac.com/cities/ci84.php\">Walnut</a></td>\n","<td>$123,555</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91790</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n","<td>$97,868</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91791</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n","<td>$96,470</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91792</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n","<td>$94,439</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91801</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci02.php\">Alhambra</a></td>\n","<td>$81,580</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91803</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci02.php\">Alhambra</a></td>\n","<td>$76,694</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93510</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u1.php\">Acton</a></td>\n","<td>$123,438</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93532</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u13b.php\">Elizabeth Lake</a>, <a href=\"https://www.laalmanac.com/cities/ci95u17b.php\">Lake Hughes</a>, <a href=\"https://www.laalmanac.com/cities/ci95u19b.php\">Leona Valley</a>, Sandberg, Three Points</td>\n","<td>$98,788</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93534</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a></td>\n","<td>$55,945</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93535</td>\n","<td class=\"text-left\">Hi Vista, <a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a>, Roosevelt Corner, Wilsona Gardens</td>\n","<td>$61,183</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93536</td>\n","<td class=\"text-left\">Del Sur, Fairmont, <a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a>, Metler Valley, Neenach, <a href=\"https://www.laalmanac.com/cities/ci95u24.php\">Quartz Hill</a></td>\n","<td>$97,418</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93543</td>\n","<td class=\"text-left\">Juniper Hills, <a href=\"https://www.laalmanac.com/cities/ci95u20.php\">Littlerock</a>, <a href=\"https://www.laalmanac.com/cities/ci95u28c.php\">Sun Village</a></td>\n","<td>$69,727</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93544</td>\n","<td class=\"text-left\">Crystalaire, Llano</td>\n","<td>$80,560</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93550</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$61,394</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93551</td>\n","<td class=\"text-left\">City Ranch, <a href=\"https://www.laalmanac.com/cities/ci95u19b.php\">Leona Valley</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$107,133</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93552</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$85,890</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93553</td>\n","<td class=\"text-left\">Juniper Hills, Pearblossom</td>\n","<td>$71,587</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93563</td>\n","<td class=\"text-left\">Pearblossom, Valyermo</td>\n","<td>No 2022 estimate ($210,600 in 2021)<sup>†</sup></td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">93591</td>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n","<td>$57,826</td>\n","</tr>\n","\n","</table>"]},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["rows = table.find_all('tr')"],"metadata":{"id":"CMDLln4i2cW5","executionInfo":{"status":"ok","timestamp":1723433092933,"user_tz":420,"elapsed":171,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["rows"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BzcGlimR2hRT","executionInfo":{"status":"ok","timestamp":1723433094676,"user_tz":420,"elapsed":273,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"cd5bc569-a091-4d16-bcf6-6e812c99c899"},"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[<tr>\n"," <td class=\"text-left\">90001</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles), Florence-Graham</td>\n"," <td>$57,698</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90002</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Watts)</td>\n"," <td>$54,221</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90003</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles, Southeast Los Angeles)</td>\n"," <td>$51,275</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90004</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Rampart Village, Virgil Village, Wilshire Center, Windsor Square)</td>\n"," <td>$58,420</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90005</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Koreatown, Wilshire Center, Wilshire Park, Windsor Square)</td>\n"," <td>$49,226</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90006</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Byzantine-Latino Quarter, Harvard Heights, Koreatown, Pico Heights)</td>\n"," <td>$47,599</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90007</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Univerity Park)</td>\n"," <td>$36,326</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90008</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Baldwin Hills, Crenshaw, Leimert Park)</td>\n"," <td>$57,880</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90010</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Wilshire Center, Windsor Square)</td>\n"," <td>$92,454</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90011</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles)</td>\n"," <td>$51,819</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90012</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Civic Center, Chinatown, Arts District, Bunker Hill, Historic Core, Little Tokyo)</td>\n"," <td>$58,444</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90013</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Central, Downtown Fashion District)</td>\n"," <td>$24,853</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90014</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Historic Core, Arts District)</td>\n"," <td>$26,550</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90015</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Dowtown Fashion District, South Park-South)</td>\n"," <td>$61,959</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90016</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Adams)</td>\n"," <td>$63,090</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90017</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Bunker Hill, City West, South Park-North)</td>\n"," <td>$46,626</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90018</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Jefferson Park, Leimert Park)</td>\n"," <td>$58,987</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90019</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Arlington Heights, Country Club Park, Mid-City)</td>\n"," <td>$65,972</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90020</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hancock Park, Western Wilton, Wilshire Center, Windsor Square)</td>\n"," <td>$55,321</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90021</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Fashion District, Downtown Southeast)</td>\n"," <td>$29,659</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90022</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u11.php\">East Los Angeles</a></td>\n"," <td>$65,142</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90023</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci18.php\">Commerce</a>, <a href=\"https://www.laalmanac.com/cities/ci95u11.php\">East Los Angeles</a></td>\n"," <td>$52,918</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90024</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Westwood)</td>\n"," <td>$74,852</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90025</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sawtelle, West Los Angeles)</td>\n"," <td>$103,511</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90026</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Echo Park, Silver Lake)</td>\n"," <td>$80,549</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90027</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Griffith Park, Hollywood, Los Feliz)</td>\n"," <td>$86,826</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90028</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n"," <td>$57,258</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90029</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (East Hollywood)</td>\n"," <td>$56,529</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90031</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lincoln Heights, Montecito Heights)</td>\n"," <td>$59,889</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90032</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (El Sereno, Monterey Hills)</td>\n"," <td>$76,608</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90033</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Boyle Heights)</td>\n"," <td>$50,616</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90034</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Palms)</td>\n"," <td>$97,511</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90035</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Fairfax)</td>\n"," <td>$110,520</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90036</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Fairfax, Melrose, Miracle Mile, Park La Brea, Wilshire-La Brea)</td>\n"," <td>$97,583</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90037</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n"," <td>$52,238</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90038</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n"," <td>$57,102</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90039</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Atwater Village, Elysian Valley, Silver Lake)</td>\n"," <td>$108,338</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90040</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci18.php\">Commerce, City of</a></td>\n"," <td>$62,083</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90041</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Eagle Rock)</td>\n"," <td>$111,938</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90042</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Highland Park)</td>\n"," <td>$89,168</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90043</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hyde Park, View Park, Windsor Hills)</td>\n"," <td>$63,990</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90044</td>\n"," <td class=\"text-left\">Athens, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n"," <td>$48,386</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90045</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Los Angeles International Airport, Westchester)</td>\n"," <td>$125,692</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90046</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood), West Hollywood</td>\n"," <td>$87,339</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90047</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n"," <td>$67,018</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90048</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mid-City West), West Hollywood</td>\n"," <td>$102,244</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90049</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Bel Air Estates, Brentwood)</td>\n"," <td>$161,605</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90056</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u17.php\">Ladera Heights</a></td>\n"," <td>$123,457</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90057</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Westlake)</td>\n"," <td>$46,513</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90058</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles), Vernon</td>\n"," <td>$34,093</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90059</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Southeast Los Angeles, Watts), Willowbrook</td>\n"," <td>$50,939</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90061</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n"," <td>$56,837</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90062</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (South Los Angeles)</td>\n"," <td>$61,422</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90063</td>\n"," <td class=\"text-left\">City Terrace, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Boyle Heights)</td>\n"," <td>$69,307</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90064</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Cheviot Hills, Rancho Park)</td>\n"," <td>$123,929</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90065</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Cypress Park, Glassell Park, Mt Washington)</td>\n"," <td>$88,329</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90066</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a>, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mar Vista)</td>\n"," <td>$100,344</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90067</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Century City)</td>\n"," <td>$125,995</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90068</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood)</td>\n"," <td>$97,151</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90069</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Hollywood, Melrose), West Hollywood</td>\n"," <td>$106,133</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90071</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Downtown Bunker Hill, City West, Historic Core, South Park-North) </td>\n"," <td>No 2022 estimate ($90,546 in 2020)<sup>†</sup></td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90077</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Bel Air Estates, Beverly Glen)</td>\n"," <td>$203,194</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90094</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Playa Vista)</td>\n"," <td>$156,536</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90201</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci08.php\">Bell</a>, <a href=\"https://www.laalmanac.com/cities/ci09.php\">Bell Gardens</a>, <a href=\"https://www.laalmanac.com/cities/ci21.php\">Cudahy</a></td>\n"," <td>$53,692</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90210</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n"," <td>$172,285</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90211</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n"," <td>$115,025</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90212</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/BeverlyHills/index.php\">Beverly Hills</a></td>\n"," <td>$101,963</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90220</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, Rancho Dominguez</td>\n"," <td>$69,901</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90221</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, <a href=\"https://www.laalmanac.com/cities/ci95u9.php\">East Rancho Dominguez</a></td>\n"," <td>$64,439</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90222</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci19.php\">Compton</a>, Rosewood, <a href=\"https://www.laalmanac.com/cities/ci95u40.php\">Willowbrook</a></td>\n"," <td>$68,722</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90230</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a></td>\n"," <td>$107,870</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90232</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci22.php\">Culver City</a></td>\n"," <td>$113,278</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90240</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n"," <td>$99,874</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90241</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n"," <td>$81,220</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90242</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci24.php\">Downey</a></td>\n"," <td>$81,448</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90245</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci27.php\">El Segundo</a></td>\n"," <td>$142,596</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90247</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n"," <td>$70,012</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90248</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n"," <td>$75,865</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90249</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci28.php\">Gardena</a></td>\n"," <td>$83,125</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90250</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci32.php\">Hawthorne</a> (Holly Park)</td>\n"," <td>$74,616</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90254</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci33.php\">Hermosa Beach</a></td>\n"," <td>$149,500</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90255</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci35.php\">Huntington Park</a>, <a href=\"https://www.laalmanac.com/cities/ci95u33.php\">Walnut Park</a></td>\n"," <td>$57,013</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90260</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci46.php\">Lawndale</a></td>\n"," <td>$80,205</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90262</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci50.php\">Lynwood</a></td>\n"," <td>$67,620</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90265</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci51.php\">Malibu</a></td>\n"," <td>$186,264</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90266</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci52.php\">Manhattan Beach</a></td>\n"," <td>$187,217</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90270</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci08.php\">Bell</a>, <a href=\"https://www.laalmanac.com/cities/ci53.php\">Maywood</a></td>\n"," <td>$57,741</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90272</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Castellemare, Pacific Highlands, Pacific Palisades, Topanga State Park)</td>\n"," <td>$225,256</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90274</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci59.php\">Palos Verdes Estates</a>, <a href=\"https://www.laalmanac.com/cities/ci66.php\">Rolling Hills</a>, <a href=\"https://www.laalmanac.com/cities/ci67.php\">Rolling Hills Estates</a></td>\n"," <td>$206,013</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90275</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci59.php\">Palos Verdes Estates</a>, <a href=\"https://www.laalmanac.com/cities/ci64.php\">Rancho Palos Verdes</a>, <a href=\"https://www.laalmanac.com/cities/ci67.php\">Rolling Hills Estates</a></td>\n"," <td>$166,602</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90277</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci65.php\">Redondo Beach</a>, <a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n"," <td>$120,008</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90278</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci65.php\">Redondo Beach</a>, <a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n"," <td>$143,785</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90280</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci79.php\">South Gate</a></td>\n"," <td>$67,287</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90290</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28d.php\">Topanga</a></td>\n"," <td>$138,316</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90291</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Venice)</td>\n"," <td>$111,610</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90292</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Marina Peninsula), <a href=\"https://www.laalmanac.com/cities/ci95u21.php\">Marina del Rey</a></td>\n"," <td>$136,854</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90293</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Playa del Rey)</td>\n"," <td>$124,688</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90301</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n"," <td>$61,910</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90302</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n"," <td>$68,662</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90303</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n"," <td>$67,598</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90304</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a>, <a href=\"https://www.laalmanac.com/cities/ci95u19.php\">Lennox</a></td>\n"," <td>$57,647</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90305</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci37.php\">Inglewood</a></td>\n"," <td>$85,466</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90401</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a> (Downtown)</td>\n"," <td>$89,892</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90402</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n"," <td>$171,844</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90403</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n"," <td>$123,391</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90404</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a></td>\n"," <td>$87,209</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90405</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaMonica/index.php\">Santa Monica</a> (Ocean Park, Santa Monica Airport, Sunpark)</td>\n"," <td>$101,713</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90501</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n"," <td>$89,926</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90502</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a>, <a href=\"https://www.laalmanac.com/cities/ci95u35.php\">West Carson</a></td>\n"," <td>$95,528</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90503</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n"," <td>$117,364</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90504</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n"," <td>$101,773</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90505</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci82.php\">Torrance</a></td>\n"," <td>$108,857</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90601</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n"," <td>$96,209</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90602</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n"," <td>$63,956</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90603</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n"," <td>$117,324</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90604</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u10.php\">East La Mirada</a>, <a href=\"https://www.laalmanac.com/cities/ci95u28.php\">South Whittier</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n"," <td>$95,570</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90605</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28.php\">South Whittier</a>, <a href=\"https://www.laalmanac.com/Whittier/index.php\">Whittier</a></td>\n"," <td>$94,200</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90606</td>\n"," <td class=\"text-left\">Los Nietos, <a href=\"https://www.laalmanac.com/cities/ci95u35.php\">West Whittier</a></td>\n"," <td>$86,596</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90631</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci40.php\">La Habra Heights</a></td>\n"," <td>$98,009</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90638</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci41.php\">La Mirada</a></td>\n"," <td>$104,114</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90640</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Montebello/index.php\">Montebello</a></td>\n"," <td>$72,163</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90650</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci57.php\">Norwalk</a></td>\n"," <td>$91,259</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90660</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci62.php\">Pico Rivera</a></td>\n"," <td>$82,539</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90670</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci74.php\">Santa Fe Springs</a></td>\n"," <td>$83,259</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90701</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci04.php\">Artesia</a></td>\n"," <td>$92,702</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90703</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci16.php\">Cerritos</a></td>\n"," <td>$124,240</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90704</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci05.php\">Avalon</a>, Santa Catalina Island</td>\n"," <td>$89,107</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90706</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci10.php\">Bellflower</a></td>\n"," <td>$75,379</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90710</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Harbor City)</td>\n"," <td>$75,114</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90712</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n"," <td>$119,143</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90713</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n"," <td>$123,809</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90715</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci44.php\">Lakewood</a></td>\n"," <td>$89,113</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90716</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci31.php\">Hawaiian Gardens</a></td>\n"," <td>$73,784</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90717</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci47.php\">Lomita</a></td>\n"," <td>$88,111</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90723</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci60.php\">Paramount</a></td>\n"," <td>$67,130</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90731</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (San Pedro, Terminal Island)</td>\n"," <td>$69,019</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90732</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (San Pedro), Rancho Palos Verdes</td>\n"," <td>$115,120</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90740</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (overlaps Orange County)</td>\n"," <td>$75,007</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90744</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Wilmington)</td>\n"," <td>$58,869</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90745</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a></td>\n"," <td>$103,471</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90746</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a></td>\n"," <td>$109,596</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90755</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci77.php\">Signal Hill</a></td>\n"," <td>$96,521</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90802</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n"," <td>$69,613</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90803</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (Belmont Shore, Marina, Naples)</td>\n"," <td>$107,889</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90804</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (East Long Beach)</td>\n"," <td>$64,160</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90805</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a> (North Long Beach)</td>\n"," <td>$64,848</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90806</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n"," <td>$67,632</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90807</td>\n"," <td class=\"text-left\">Long Beach (Bixby Knolls)</td>\n"," <td>$89,319</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90808</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n"," <td>$131,535</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90810</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci15.php\">Carson</a>, Dominguez, <a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n"," <td>$75,152</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90813</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n"," <td>$48,535</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90814</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n"," <td>$89,776</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">90815</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LongBeach/index.php\">Long Beach</a></td>\n"," <td>$110,565</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91001</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u3.php\">Altadena</a></td>\n"," <td>$129,030</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91006</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci03.php\">Arcadia</a></td>\n"," <td>$123,358</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91007</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci03.php\">Arcadia</a></td>\n"," <td>$93,128</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91008</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci12.php\">Bradbury</a></td>\n"," <td>$139,167</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91010</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci06.php\">Azusa</a>, <a href=\"https://www.laalmanac.com/cities/ci12.php\">Bradbury</a>, <a href=\"https://www.laalmanac.com/cities/ci25.php\">Duarte</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a>, <a href=\"https://www.laalmanac.com/cities/ci54.php\">Monrovia</a></td>\n"," <td>$95,172</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91011</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci39.php\">La Cañada Flintridge</a></td>\n"," <td>$210,532</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91016</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci54.php\">Monrovia</a></td>\n"," <td>$95,606</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91020</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u16.php\">Montrose</a></td>\n"," <td>$61,771</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91024</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci76.php\">Sierra Madre</a></td>\n"," <td>$128,056</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91030</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci80.php\">South Pasadena</a></td>\n"," <td>$127,882</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91040</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Shadow Hills, Sunland)</td>\n"," <td>$103,823</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91042</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Tujunga)</td>\n"," <td>$81,324</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91046</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Verdugo City)</td>\n"," <td>No 2022 estimate<sup>†</sup></td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91101</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n"," <td>$86,631</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91103</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n"," <td>$78,513</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91104</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n"," <td>$93,856</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91105</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n"," <td>$163,253</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91106</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n"," <td>$91,220</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91107</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/Pasadena/index.php\">Pasadena</a></td>\n"," <td>$120,822</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91108</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci72.php\">San Marino</a></td>\n"," <td>$173,312</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91201</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n"," <td>$67,102</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91202</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n"," <td>$90,232</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91203</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n"," <td>$70,650</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91204</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Tropico)</td>\n"," <td>$69,102</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91205</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Tropico)</td>\n"," <td>$58,290</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91206</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n"," <td>$85,651</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91207</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n"," <td>$106,984</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91208</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a></td>\n"," <td>$112,485</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91210</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a> (Glendale Galleria PO Boxes)</td>\n"," <td>No 2022 estimate ($105,536 in 2021)<sup>†</sup></td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91214</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci29.php\">Glendale</a>, La Crescenta, <a href=\"https://www.laalmanac.com/cities/ci95u16.php\">Montrose</a></td>\n"," <td>$126,175</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91301</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci01.php\">Agoura Hills</a>, Cornell</td>\n"," <td>$157,582</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91302</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci14.php\">Calabasas</a>, <a href=\"https://www.laalmanac.com/cities/ci34.php\">Hidden Hills</a>, Monte Nido</td>\n"," <td>$172,651</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91303</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Canoga Park)</td>\n"," <td>$77,437</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91304</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Canoga Park, West Hills), Box Canyon</td>\n"," <td>$79,673</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91306</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Winnetka)</td>\n"," <td>$82,380</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91307</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (West Hills), Bell Canyon</td>\n"," <td>$130,877</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91311</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Chatsworth)</td>\n"," <td>$112,172</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91316</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Encino)</td>\n"," <td>$85,354</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91321</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Newhall)</td>\n"," <td>$84,503</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91324</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge)</td>\n"," <td>$100,086</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91325</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge)</td>\n"," <td>$83,853</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91326</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Northridge, Porter Ranch)</td>\n"," <td>$142,170</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91331</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Arleta, Hansen Hills, Pacoima)</td>\n"," <td>$76,942</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91335</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Reseda)</td>\n"," <td>$74,632</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91340</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci70.php\">San Fernando</a>, <a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mission Hills, Pacoima)</td>\n"," <td>$71,664</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91342</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lake View Terrace, Sylmar), Kagel Canyon</td>\n"," <td>$89,264</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91343</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hills)</td>\n"," <td>$77,790</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91344</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Granada Hills)</td>\n"," <td>$111,897</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91345</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Mission Hills)</td>\n"," <td>$93,622</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91350</td>\n"," <td class=\"text-left\">Bouquet Canyon, <a href=\"https://www.laalmanac.com/cities/ci95u14b.php\">Green Valley</a>, Mint Canyon, <a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon County)</td>\n"," <td>$137,626</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91351</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon Country)</td>\n"," <td>$104,214</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91352</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (La Tuna Canyon, Sun Valley)</td>\n"," <td>$68,132</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91354</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Valencia)</td>\n"," <td>$145,442</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91355</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Valencia)</td>\n"," <td>$109,752</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91356</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Tarzana)</td>\n"," <td>$105,513</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91361</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci87.php\">Westlake Village</a></td>\n"," <td>$127,304</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91362</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci87.php\">Westlake Village</a></td>\n"," <td>$135,998</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91364</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Woodland Hills)</td>\n"," <td>$128,306</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91367</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Woodland Hills)</td>\n"," <td>$106,355</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91381</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u28b.php\">Stevenson Ranch</a></td>\n"," <td>$148,873</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91384</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4b.php\">Castaic</a>, <a href=\"https://www.laalmanac.com/cities/ci95u29.php\">Val Verde</a></td>\n"," <td>$127,416</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91387</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Canyon Country), Fair Oaks Ranch, Mint Canyon</td>\n"," <td>$111,090</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91390</td>\n"," <td class=\"text-left\">Agua Dulce, <a href=\"https://www.laalmanac.com/cities/ci95u14b.php\">Green Valley</a>, <a href=\"https://www.laalmanac.com/SantaClarita/index.php\">Santa Clarita</a> (Saugus)</td>\n"," <td>$145,465</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91401</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Valley Glen, Van Nuys)</td>\n"," <td>$72,476</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91402</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Panorama City)</td>\n"," <td>$55,130</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91403</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sherman Oaks, Van Nuys)</td>\n"," <td>$107,970</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91405</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Valley Glen)</td>\n"," <td>$58,365</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91406</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Lake Balboa, Van Nuys)</td>\n"," <td>$71,819</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91411</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Van Nuys)</td>\n"," <td>$73,669</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91423</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Sherman Oaks, Van Nuys)</td>\n"," <td>$104,205</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91436</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (Encino)</td>\n"," <td>$155,346</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91501</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n"," <td>$80,198</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91502</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n"," <td>$59,711</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91504</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a> (Glenoaks)</td>\n"," <td>$99,318</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91505</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n"," <td>$104,361</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91506</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci13.php\">Burbank</a></td>\n"," <td>$104,009</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91601</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Toluca Terrace)</td>\n"," <td>$73,735</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91602</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Studio City, Toluca Lake, West Toluca Lake)</td>\n"," <td>$93,210</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91604</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Studio City)</td>\n"," <td>$132,494</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91605</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood)</td>\n"," <td>$61,031</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91606</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Valley Glen)</td>\n"," <td>$64,976</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91607</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\">Los Angeles</a> (North Hollywood, Sherman Village, Valley Glen, Valley Village)</td>\n"," <td>$82,995</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91608</td>\n"," <td class=\"text-left\">Universal City</td>\n"," <td>$56,898</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91702</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci06.php\">Azusa</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a></td>\n"," <td>$82,382</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91706</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci07.php\">Baldwin Park</a>, <a href=\"https://www.laalmanac.com/cities/ci38.php\">Irwindale</a></td>\n"," <td>$76,348</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91711</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci17.php\">Claremont</a></td>\n"," <td>$115,079</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91722</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n"," <td>$95,157</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91723</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n"," <td>$82,018</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91724</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u5.php\">Charter Oak</a>, <a href=\"https://www.laalmanac.com/cities/ci20.php\">Covina</a></td>\n"," <td>$96,720</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91731</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a></td>\n"," <td>$57,047</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91732</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a></td>\n"," <td>$62,047</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91733</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci26.php\">El Monte</a>, <a href=\"https://www.laalmanac.com/cities/ci78.php\">South El Monte</a></td>\n"," <td>$63,883</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91740</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci30.php\">Glendora</a></td>\n"," <td>$96,433</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91741</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci30.php\">Glendora</a></td>\n"," <td>$117,252</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91744</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci42.php\">La Puente</a>, <a href=\"https://www.laalmanac.com/cities/ci95u30.php\">Valinda</a></td>\n"," <td>$86,290</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91745</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u15.php\">Hacienda Heights</a></td>\n"," <td>$101,427</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91746</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u4.php\">Avocado Heights</a>, Bassett, <a href=\"https://www.laalmanac.com/cities/ci95u37.php\">West Puente Valley</a></td>\n"," <td>$83,634</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91748</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci95u25.php\">Rowland Heights</a></td>\n"," <td>$83,610</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91750</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci43.php\">La Verne</a></td>\n"," <td>$103,774</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91754</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci56.php\">Monterey Park</a></td>\n"," <td>$83,490</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91755</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci56.php\">Monterey Park</a></td>\n"," <td>$70,459</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91759</td>\n"," <td class=\"text-left\">Mount Baldy (Portion in LA County)</td>\n"," <td>$111,071</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91765</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci23.php\">Diamond Bar</a></td>\n"," <td>$105,712</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91766</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a> (Phillips Ranch)</td>\n"," <td>$72,692</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91767</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a></td>\n"," <td>$75,870</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91768</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci63.php\">Pomona</a></td>\n"," <td>$71,462</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91770</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci68.php\">Rosemead</a></td>\n"," <td>$70,863</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91773</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci69.php\">San Dimas</a></td>\n"," <td>$101,466</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91775</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci71.php\">San Gabriel</a></td>\n"," <td>$107,359</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91776</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci71.php\">San Gabriel</a></td>\n"," <td>$77,147</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91780</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci81.php\">Temple City</a></td>\n"," <td>$94,946</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91789</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci36.php\">City of Industry</a>, <a href=\"https://www.laalmanac.com/cities/ci36.php\">Diamond Bar</a>, <a href=\"https://www.laalmanac.com/cities/ci84.php\">Walnut</a></td>\n"," <td>$123,555</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91790</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n"," <td>$97,868</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91791</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n"," <td>$96,470</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91792</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci85.php\">West Covina</a></td>\n"," <td>$94,439</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91801</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci02.php\">Alhambra</a></td>\n"," <td>$81,580</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">91803</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci02.php\">Alhambra</a></td>\n"," <td>$76,694</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93510</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u1.php\">Acton</a></td>\n"," <td>$123,438</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93532</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u13b.php\">Elizabeth Lake</a>, <a href=\"https://www.laalmanac.com/cities/ci95u17b.php\">Lake Hughes</a>, <a href=\"https://www.laalmanac.com/cities/ci95u19b.php\">Leona Valley</a>, Sandberg, Three Points</td>\n"," <td>$98,788</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93534</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a></td>\n"," <td>$55,945</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93535</td>\n"," <td class=\"text-left\">Hi Vista, <a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a>, Roosevelt Corner, Wilsona Gardens</td>\n"," <td>$61,183</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93536</td>\n"," <td class=\"text-left\">Del Sur, Fairmont, <a href=\"https://www.laalmanac.com/AntelopeValley/avl00.php\">Lancaster</a>, Metler Valley, Neenach, <a href=\"https://www.laalmanac.com/cities/ci95u24.php\">Quartz Hill</a></td>\n"," <td>$97,418</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93543</td>\n"," <td class=\"text-left\">Juniper Hills, <a href=\"https://www.laalmanac.com/cities/ci95u20.php\">Littlerock</a>, <a href=\"https://www.laalmanac.com/cities/ci95u28c.php\">Sun Village</a></td>\n"," <td>$69,727</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93544</td>\n"," <td class=\"text-left\">Crystalaire, Llano</td>\n"," <td>$80,560</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93550</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n"," <td>$61,394</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93551</td>\n"," <td class=\"text-left\">City Ranch, <a href=\"https://www.laalmanac.com/cities/ci95u19b.php\">Leona Valley</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n"," <td>$107,133</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93552</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n"," <td>$85,890</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93553</td>\n"," <td class=\"text-left\">Juniper Hills, Pearblossom</td>\n"," <td>$71,587</td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93563</td>\n"," <td class=\"text-left\">Pearblossom, Valyermo</td>\n"," <td>No 2022 estimate ($210,600 in 2021)<sup>†</sup></td>\n"," </tr>,\n"," <tr>\n"," <td class=\"text-left\">93591</td>\n"," <td class=\"text-left\"><a href=\"https://www.laalmanac.com/cities/ci95u18.php\">Lake Los Angeles</a>, <a href=\"https://www.laalmanac.com/AntelopeValley/avp00.php\">Palmdale</a></td>\n"," <td>$57,826</td>\n"," </tr>]"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["headers = ['Zip Code', 'Community', '2022 Estimated Median Income']\n","\n","# Extract rows from the table\n","rows = []\n","for row in table.find_all('tr')[0:]:  # Skip the header row\n","    cols = row.find_all('td')\n","    cols = [ele.get_text(strip=True) for ele in cols]\n","    rows.append(cols)"],"metadata":{"id":"Mnfs2qUd2j7n","executionInfo":{"status":"ok","timestamp":1723433106193,"user_tz":420,"elapsed":209,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":8,"outputs":[]},{"cell_type":"code","source":["df = pd.DataFrame(rows, columns=headers)"],"metadata":{"id":"-UFSS0cW2qFa","executionInfo":{"status":"ok","timestamp":1723433113933,"user_tz":420,"elapsed":169,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"jv5AVDlX2s4X","executionInfo":{"status":"ok","timestamp":1723433115301,"user_tz":420,"elapsed":152,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"3d8c4272-122d-4d8d-fba9-005f0dd6f877"},"execution_count":10,"outputs":[{"output_type":"execute_result","data":{"text/plain":["    Zip Code                                          Community  \\\n","0      90001    Los Angeles(South Los Angeles), Florence-Graham   \n","1      90002          Los Angeles(Southeast Los Angeles, Watts)   \n","2      90003  Los Angeles(South Los Angeles, Southeast Los A...   \n","3      90004  Los Angeles(Hancock Park, Rampart Village, Vir...   \n","4      90005  Los Angeles(Hancock Park, Koreatown, Wilshire ...   \n","..       ...                                                ...   \n","278    93551                   City Ranch,Leona Valley,Palmdale   \n","279    93552                                           Palmdale   \n","280    93553                         Juniper Hills, Pearblossom   \n","281    93563                              Pearblossom, Valyermo   \n","282    93591                          Lake Los Angeles,Palmdale   \n","\n","             2022 Estimated Median Income  \n","0                                 $57,698  \n","1                                 $54,221  \n","2                                 $51,275  \n","3                                 $58,420  \n","4                                 $49,226  \n","..                                    ...  \n","278                              $107,133  \n","279                               $85,890  \n","280                               $71,587  \n","281  No 2022 estimate ($210,600 in 2021)†  \n","282                               $57,826  \n","\n","[283 rows x 3 columns]"],"text/html":["\n","  <div id=\"df-a9fbd47a-dc21-4d6d-bf20-9b909b79b4cc\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Zip Code</th>\n","      <th>Community</th>\n","      <th>2022 Estimated Median Income</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>90001</td>\n","      <td>Los Angeles(South Los Angeles), Florence-Graham</td>\n","      <td>$57,698</td>\n","    </tr>\n","    <tr>\n","      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<td>Palmdale</td>\n","      <td>$85,890</td>\n","    </tr>\n","    <tr>\n","      <th>280</th>\n","      <td>93553</td>\n","      <td>Juniper Hills, Pearblossom</td>\n","      <td>$71,587</td>\n","    </tr>\n","    <tr>\n","      <th>281</th>\n","      <td>93563</td>\n","      <td>Pearblossom, Valyermo</td>\n","      <td>No 2022 estimate ($210,600 in 2021)†</td>\n","    </tr>\n","    <tr>\n","      <th>282</th>\n","      <td>93591</td>\n","      <td>Lake Los Angeles,Palmdale</td>\n","      <td>$57,826</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>283 rows × 3 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a9fbd47a-dc21-4d6d-bf20-9b909b79b4cc')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 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Angeles(Downtown Bunker Hill, City West, South Park-North)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 Estimated Median Income\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 283,\n        \"samples\": [\n          \"$51,819\",\n          \"$117,252\",\n          \"$103,471\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":10}]},{"cell_type":"code","source":["df.to_csv(\"LA_2022_median_salary.csv\",index=False)"],"metadata":{"id":"U1LsB1t95NrT","executionInfo":{"status":"ok","timestamp":1723433119464,"user_tz":420,"elapsed":165,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":11,"outputs":[]},{"cell_type":"markdown","source":["### Web Scraping for Population by Race Dataset"],"metadata":{"id":"xXxZVtjToo-9"}},{"cell_type":"code","source":["# URL of the webpage\n","url = \"https://www.laalmanac.com/population/po24la_zip.php\"\n","\n","# Send a GET request to the webpage\n","response = requests.get(url)\n","\n","# Parse the HTML content using BeautifulSoup\n","soup = BeautifulSoup(response.text, 'html.parser')"],"metadata":{"id":"TdFW8leY5VrH","executionInfo":{"status":"ok","timestamp":1723433486028,"user_tz":420,"elapsed":733,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["table = soup.find('table')"],"metadata":{"id":"q2DOy7__pAJ5","executionInfo":{"status":"ok","timestamp":1723433542759,"user_tz":420,"elapsed":183,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":13,"outputs":[]},{"cell_type":"code","source":["table"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"G73XQkUopOKy","executionInfo":{"status":"ok","timestamp":1723433556334,"user_tz":420,"elapsed":540,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"cc01c95b-db95-4381-e27e-fe81328284d7"},"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<table>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<col class=\"column-10\"/>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\"><a href=\"https://www.laalmanac.com/LA/index.php\"><b>City of L.A.</b></a></td>\n","<td>3,881,041</td>\n","<td>40,695<br>\n","1.05%</br></td>\n","<td>458,721<br>\n","11.82%</br></td>\n","<td>332,173<br/>\n","8.56%</td>\n","<td>5,709<br/>\n","0.15%</td>\n","<td>1,069,141<br/>\n","27.55%</td>\n","<td>952,377<br/>\n","24.54%</td>\n","<td>493,491<br/>\n","12.72%</td>\n","<td>1,828,315<br/>\n","47.11%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90001</td>\n","<td>57,652</td>\n","<td>1,226<br/>\n","2.13%</td>\n","<td>348<br/>\n","0.60%</td>\n","<td>4,295<br/>\n","7.45%</td>\n","<td>13<br/>\n","0.02%</td>\n","<td>373<br/>\n","0.65%</td>\n","<td>23,449<br/>\n","40.67%</td>\n","<td>12,037<br/>\n","20.88%</td>\n","<td>52,642<br/>\n","91.31%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90002</td>\n","<td>53,108</td>\n","<td>1,974<br/>\n","3.72%</td>\n","<td>611<br/>\n","1.15%</td>\n","<td>8,355<br/>\n","15.73%</td>\n","<td>53<br/>\n","0.10%</td>\n","<td>200<br/>\n","0.38%</td>\n","<td>20,939<br/>\n","39.43%</td>\n","<td>8,870<br/>\n","16.70%</td>\n","<td>43,766<br/>\n","82.41%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90003</td>\n","<td>75,024</td>\n","<td>598<br/>\n","0.80%</td>\n","<td>350<br/>\n","0.47%</td>\n","<td>12,352<br/>\n","16.46%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>354<br/>\n","0.47%</td>\n","<td>35,695<br/>\n","47.58%</td>\n","<td>13,140<br/>\n","17.51%</td>\n","<td>61,179<br/>\n","81.55%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90004</td>\n","<td>58,833</td>\n","<td>741<br/>\n","1.26%</td>\n","<td>14,584<br/>\n","24.79%</td>\n","<td>2,619<br/>\n","4.45%</td>\n","<td>68<br/>\n","0.12%</td>\n","<td>12,108<br/>\n","20.58%</td>\n","<td>18,307<br/>\n","31.12%</td>\n","<td>5,495<br/>\n","9.34%</td>\n","<td>27,410<br/>\n","46.59%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90005</td>\n","<td>37,754</td>\n","<td>640<br/>\n","1.70%</td>\n","<td>12,305<br/>\n","32.59%</td>\n","<td>2,006<br/>\n","5.31%</td>\n","<td>14<br/>\n","0.04%</td>\n","<td>3,819<br/>\n","10.12%</td>\n","<td>10,808<br/>\n","28.63%</td>\n","<td>4,610<br/>\n","12.21%</td>\n","<td>18,603<br/>\n","49.27%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90006</td>\n","<td>56,628</td>\n","<td>985<br/>\n","1.74%</td>\n","<td>10,370<br/>\n","18.31%</td>\n","<td>1,669<br/>\n","2.95%</td>\n","<td>118<br/>\n","0.21%</td>\n","<td>2,911<br/>\n","5.14%</td>\n","<td>22,976<br/>\n","40.57%</td>\n","<td>7,266<br/>\n","12.83%</td>\n","<td>41,030<br/>\n","72.46%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90007</td>\n","<td>41,004</td>\n","<td>466<br/>\n","1.14%</td>\n","<td>7,733<br/>\n","18.86%</td>\n","<td>3,535<br/>\n","8.62%</td>\n","<td>43<br/>\n","0.10%</td>\n","<td>6,508<br/>\n","15.87%</td>\n","<td>10,676<br/>\n","26.04%</td>\n","<td>5,191<br/>\n","12.66%</td>\n","<td>22,109<br/>\n","53.92%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90008</td>\n","<td>33,076</td>\n","<td>337<br/>\n","1.02%</td>\n","<td>991<br/>\n","3.00%</td>\n","<td>21,047<br/>\n","63.63%</td>\n","<td>36<br/>\n","0.11%</td>\n","<td>1,867<br/>\n","5.64%</td>\n","<td>5,113<br/>\n","15.46%</td>\n","<td>2,423<br/>\n","7.33%</td>\n","<td>8,702<br/>\n","26.31%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90010</td>\n","<td>4,185</td>\n","<td>39<br/>\n","0.93%</td>\n","<td>2,775<br/>\n","66.31%</td>\n","<td>230<br/>\n","5.50%</td>\n","<td>69<br/>\n","1.65%</td>\n","<td>700<br/>\n","16.73%</td>\n","<td>178<br/>\n","4.25%</td>\n","<td>91<br/>\n","2.17%</td>\n","<td>329<br/>\n","7.86%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90011</td>\n","<td>106,042</td>\n","<td>2,013<br/>\n","1.90%</td>\n","<td>660<br/>\n","0.62%</td>\n","<td>6,092<br/>\n","5.74%</td>\n","<td>287<br/>\n","0.27%</td>\n","<td>801<br/>\n","0.76%</td>\n","<td>52,659<br/>\n","49.66%</td>\n","<td>18,685<br/>\n","17.62%</td>\n","<td>97,669<br/>\n","92.10%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90012</td>\n","<td>38,430</td>\n","<td>371<br/>\n","0.97%</td>\n","<td>13,807<br/>\n","35.93%</td>\n","<td>5,071<br/>\n","13.20%</td>\n","<td>39<br/>\n","0.10%</td>\n","<td>7,160<br/>\n","18.63%</td>\n","<td>6,448<br/>\n","16.78%</td>\n","<td>3,467<br/>\n","9.02%</td>\n","<td>10,575<br/>\n","27.52%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90013</td>\n","<td>14,587</td>\n","<td>346<br/>\n","2.37%</td>\n","<td>2,055<br/>\n","14.09%</td>\n","<td>4,039<br/>\n","27.69%</td>\n","<td>129<br/>\n","0.88%</td>\n","<td>4,023<br/>\n","27.58%</td>\n","<td>1,117<br/>\n","7.66%</td>\n","<td>2,152<br/>\n","14.75%</td>\n","<td>3,492<br/>\n","23.94%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90014</td>\n","<td>9,273</td>\n","<td>25<br/>\n","0.27%</td>\n","<td>2,210<br/>\n","23.83%</td>\n","<td>1,925<br/>\n","20.76%</td>\n","<td>25<br/>\n","0.27%</td>\n","<td>2,531<br/>\n","27.29%</td>\n","<td>1,265<br/>\n","13.64%</td>\n","<td>712<br/>\n","7.68%</td>\n","<td>2,372<br/>\n","25.58%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90015</td>\n","<td>25,554</td>\n","<td>637<br/>\n","2.49%</td>\n","<td>5,197<br/>\n","20.34%</td>\n","<td>2,315<br/>\n","9.06%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>3,622<br/>\n","14.17%</td>\n","<td>6,239<br/>\n","24.41%</td>\n","<td>2,834<br/>\n","11.09%</td>\n","<td>13,400<br/>\n","52.44%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90016</td>\n","<td>47,309</td>\n","<td>98<br/>\n","0.21%</td>\n","<td>2,111<br/>\n","4.46%</td>\n","<td>13,028<br/>\n","27.54%</td>\n","<td>34<br/>\n","0.07%</td>\n","<td>4,909<br/>\n","10.38%</td>\n","<td>9,882<br/>\n","20.89%</td>\n","<td>7,599<br/>\n","16.06%</td>\n","<td>25,816<br/>\n","54.57%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90017</td>\n","<td>28,754</td>\n","<td>238<br/>\n","0.83%</td>\n","<td>5,062<br/>\n","17.60%</td>\n","<td>3,699<br/>\n","12.86%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>3,246<br/>\n","11.29%</td>\n","<td>10,476<br/>\n","36.43%</td>\n","<td>1,761<br/>\n","6.12%</td>\n","<td>16,444<br/>\n","57.19%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90018</td>\n","<td>49,898</td>\n","<td>273<br/>\n","0.55%</td>\n","<td>3,110<br/>\n","6.23%</td>\n","<td>12,125<br/>\n","24.30%</td>\n","<td>88<br/>\n","0.18%</td>\n","<td>3,917<br/>\n","7.85%</td>\n","<td>14,828<br/>\n","29.72%</td>\n","<td>5,927<br/>\n","11.88%</td>\n","<td>29,284<br/>\n","58.69%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90019</td>\n","<td>59,410</td>\n","<td>339<br/>\n","0.57%</td>\n","<td>10,302<br/>\n","17.34%</td>\n","<td>10,624<br/>\n","17.88%</td>\n","<td>195<br/>\n","0.33%</td>\n","<td>10,399<br/>\n","17.50%</td>\n","<td>12,808<br/>\n","21.56%</td>\n","<td>7,024<br/>\n","11.82%</td>\n","<td>25,847<br/>\n","43.51%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90020</td>\n","<td>38,400</td>\n","<td>306<br/>\n","0.80%</td>\n","<td>17,402<br/>\n","45.32%</td>\n","<td>2,718<br/>\n","7.08%</td>\n","<td>25<br/>\n","0.07%</td>\n","<td>4,440<br/>\n","11.56%</td>\n","<td>7,812<br/>\n","20.34%</td>\n","<td>2,765<br/>\n","7.20%</td>\n","<td>12,925<br/>\n","33.66%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90021</td>\n","<td>2,781</td>\n","<td>86<br/>\n","3.09%</td>\n","<td>195<br/>\n","7.01%</td>\n","<td>595<br/>\n","21.40%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>547<br/>\n","19.67%</td>\n","<td>778<br/>\n","27.98%</td>\n","<td>342<br/>\n","12.30%</td>\n","<td>1,336<br/>\n","48.04%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90023</td>\n","<td>44,558</td>\n","<td>796<br/>\n","1.79%</td>\n","<td>438<br/>\n","0.98%</td>\n","<td>462<br/>\n","1.04%</td>\n","<td>3<br/>\n","0.01%</td>\n","<td>798<br/>\n","1.79%</td>\n","<td>25,894<br/>\n","58.11%</td>\n","<td>5,929<br/>\n","13.31%</td>\n","<td>42,657<br/>\n","95.73%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90024</td>\n","<td>50,392</td>\n","<td>160<br/>\n","0.32%</td>\n","<td>13,079<br/>\n","25.95%</td>\n","<td>2,305<br/>\n","4.57%</td>\n","<td>128<br/>\n","0.25%</td>\n","<td>24,930<br/>\n","49.47%</td>\n","<td>2,576<br/>\n","5.11%</td>\n","<td>4,555<br/>\n","9.04%</td>\n","<td>6,599<br/>\n","13.10%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90025</td>\n","<td>44,429</td>\n","<td>73<br/>\n","0.16%</td>\n","<td>10,062<br/>\n","22.65%</td>\n","<td>1,542<br/>\n","3.47%</td>\n","<td>30<br/>\n","0.07%</td>\n","<td>24,462<br/>\n","55.06%</td>\n","<td>1,526<br/>\n","3.43%</td>\n","<td>3,851<br/>\n","8.67%</td>\n","<td>5,626<br/>\n","12.66%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90026</td>\n","<td>64,769</td>\n","<td>764<br/>\n","1.18%</td>\n","<td>8,411<br/>\n","12.99%</td>\n","<td>2,449<br/>\n","3.78%</td>\n","<td>267<br/>\n","0.41%</td>\n","<td>19,428<br/>\n","30.00%</td>\n","<td>20,833<br/>\n","32.17%</td>\n","<td>6,338<br/>\n","9.79%</td>\n","<td>31,425<br/>\n","48.52%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90027</td>\n","<td>45,764</td>\n","<td>121<br/>\n","0.26%</td>\n","<td>5,403<br/>\n","11.81%</td>\n","<td>1,600<br/>\n","3.50%</td>\n","<td>31<br/>\n","0.07%</td>\n","<td>26,918<br/>\n","58.82%</td>\n","<td>5,387<br/>\n","11.77%</td>\n","<td>3,924<br/>\n","8.57%</td>\n","<td>10,063<br/>\n","21.99%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90028</td>\n","<td>30,982</td>\n","<td>380<br/>\n","1.23%</td>\n","<td>4,122<br/>\n","13.30%</td>\n","<td>2,773<br/>\n","8.95%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>13,097<br/>\n","42.27%</td>\n","<td>5,210<br/>\n","16.82%</td>\n","<td>3,136<br/>\n","10.12%</td>\n","<td>8,898<br/>\n","28.72%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90029</td>\n","<td>34,649</td>\n","<td>243<br/>\n","0.70%</td>\n","<td>5,615<br/>\n","16.21%</td>\n","<td>1,094<br/>\n","3.16%</td>\n","<td>87<br/>\n","0.25%</td>\n","<td>9,408<br/>\n","27.15%</td>\n","<td>12,994<br/>\n","37.50%</td>\n","<td>2,731<br/>\n","7.88%</td>\n","<td>17,692<br/>\n","51.06%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90031</td>\n","<td>37,457</td>\n","<td>551<br/>\n","1.47%</td>\n","<td>10,896<br/>\n","29.09%</td>\n","<td>819<br/>\n","2.19%</td>\n","<td>239<br/>\n","0.64%</td>\n","<td>3,099<br/>\n","8.27%</td>\n","<td>15,360<br/>\n","41.01%</td>\n","<td>2,438<br/>\n","6.51%</td>\n","<td>22,113<br/>\n","59.04%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90032</td>\n","<td>44,881</td>\n","<td>593<br/>\n","1.32%</td>\n","<td>5,670<br/>\n","12.63%</td>\n","<td>1,256<br/>\n","2.80%</td>\n","<td>4<br/>\n","0.01%</td>\n","<td>3,997<br/>\n","8.91%</td>\n","<td>19,600<br/>\n","43.67%</td>\n","<td>6,023<br/>\n","13.42%</td>\n","<td>33,540<br/>\n","74.73%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90033</td>\n","<td>47,655</td>\n","<td>906<br/>\n","1.90%</td>\n","<td>2,151<br/>\n","4.51%</td>\n","<td>907<br/>\n","1.90%</td>\n","<td>61<br/>\n","0.13%</td>\n","<td>1,308<br/>\n","2.74%</td>\n","<td>29,454<br/>\n","61.81%</td>\n","<td>4,898<br/>\n","10.28%</td>\n","<td>43,099<br/>\n","90.44%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90034</td>\n","<td>55,061</td>\n","<td>501<br/>\n","0.91%</td>\n","<td>10,873<br/>\n","19.75%</td>\n","<td>5,161<br/>\n","9.37%</td>\n","<td>129<br/>\n","0.23%</td>\n","<td>21,846<br/>\n","39.68%</td>\n","<td>6,523<br/>\n","11.85%</td>\n","<td>6,645<br/>\n","12.07%</td>\n","<td>14,246<br/>\n","25.87%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90035</td>\n","<td>26,595</td>\n","<td>60<br/>\n","0.23%</td>\n","<td>1,767<br/>\n","6.64%</td>\n","<td>1,899<br/>\n","7.14%</td>\n","<td>43<br/>\n","0.16%</td>\n","<td>17,549<br/>\n","65.99%</td>\n","<td>1,769<br/>\n","6.65%</td>\n","<td>2,607<br/>\n","9.80%</td>\n","<td>3,541<br/>\n","13.31%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90036</td>\n","<td>37,713</td>\n","<td>140<br/>\n","0.37%</td>\n","<td>7,222<br/>\n","19.15%</td>\n","<td>2,388<br/>\n","6.33%</td>\n","<td>24<br/>\n","0.06%</td>\n","<td>20,902<br/>\n","55.42%</td>\n","<td>1,477<br/>\n","3.92%</td>\n","<td>3,754<br/>\n","9.95%</td>\n","<td>5,146<br/>\n","13.65%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90037</td>\n","<td>69,064</td>\n","<td>1,558<br/>\n","2.26%</td>\n","<td>901<br/>\n","1.30%</td>\n","<td>10,654<br/>\n","15.43%</td>\n","<td>90<br/>\n","0.13%</td>\n","<td>1,517<br/>\n","2.20%</td>\n","<td>28,713<br/>\n","41.57%</td>\n","<td>8,213<br/>\n","11.89%</td>\n","<td>55,159<br/>\n","79.87%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90038</td>\n","<td>27,979</td>\n","<td>426<br/>\n","1.52%</td>\n","<td>1,695<br/>\n","6.06%</td>\n","<td>1,910<br/>\n","6.83%</td>\n","<td>101<br/>\n","0.36%</td>\n","<td>8,434<br/>\n","30.14%</td>\n","<td>8,877<br/>\n","31.73%</td>\n","<td>3,716<br/>\n","13.28%</td>\n","<td>14,620<br/>\n","52.25%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90039</td>\n","<td>28,244</td>\n","<td>542<br/>\n","1.92%</td>\n","<td>5,772<br/>\n","20.44%</td>\n","<td>452<br/>\n","1.60%</td>\n","<td>9<br/>\n","0.03%</td>\n","<td>11,795<br/>\n","41.76%</td>\n","<td>3,680<br/>\n","13.03%</td>\n","<td>3,658<br/>\n","12.95%</td>\n","<td>8,788<br/>\n","31.11%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90041</td>\n","<td>28,321</td>\n","<td>471<br/>\n","1.66%</td>\n","<td>7,148<br/>\n","25.24%</td>\n","<td>574<br/>\n","2.03%</td>\n","<td>31<br/>\n","0.11%</td>\n","<td>9,015<br/>\n","31.83%</td>\n","<td>3,830<br/>\n","13.52%</td>\n","<td>4,393<br/>\n","15.51%</td>\n","<td>9,902<br/>\n","34.96%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90042</td>\n","<td>59,151</td>\n","<td>1,935<br/>\n","3.27%</td>\n","<td>8,408<br/>\n","14.21%</td>\n","<td>1,283<br/>\n","2.17%</td>\n","<td>14<br/>\n","0.02%</td>\n","<td>13,105<br/>\n","22.16%</td>\n","<td>15,812<br/>\n","26.73%</td>\n","<td>10,733<br/>\n","18.15%</td>\n","<td>34,183<br/>\n","57.79%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90043</td>\n","<td>44,461</td>\n","<td>296<br/>\n","0.67%</td>\n","<td>936<br/>\n","2.11%</td>\n","<td>26,642<br/>\n","59.92%</td>\n","<td>119<br/>\n","0.27%</td>\n","<td>2,862<br/>\n","6.44%</td>\n","<td>5,480<br/>\n","12.33%</td>\n","<td>5,006<br/>\n","11.26%</td>\n","<td>11,744<br/>\n","26.41%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90044</td>\n","<td>98,990</td>\n","<td>995<br/>\n","1.01%</td>\n","<td>899<br/>\n","0.91%</td>\n","<td>30,985<br/>\n","31.30%</td>\n","<td>118<br/>\n","0.12%</td>\n","<td>1,175<br/>\n","1.19%</td>\n","<td>32,436<br/>\n","32.77%</td>\n","<td>16,664<br/>\n","16.83%</td>\n","<td>65,034<br/>\n","65.70%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90045</td>\n","<td>41,123</td>\n","<td>450<br/>\n","1.09%</td>\n","<td>6,130<br/>\n","14.91%</td>\n","<td>3,601<br/>\n","8.76%</td>\n","<td>76<br/>\n","0.18%</td>\n","<td>20,329<br/>\n","49.43%</td>\n","<td>1,670<br/>\n","4.06%</td>\n","<td>6,036<br/>\n","14.68%</td>\n","<td>8,000<br/>\n","19.45%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90046</td>\n","<td>48,170</td>\n","<td>178<br/>\n","0.37%</td>\n","<td>3,348<br/>\n","6.95%</td>\n","<td>2,654<br/>\n","5.51%</td>\n","<td>62<br/>\n","0.13%</td>\n","<td>31,745<br/>\n","65.90%</td>\n","<td>2,155<br/>\n","4.47%</td>\n","<td>5,700<br/>\n","11.83%</td>\n","<td>7,432<br/>\n","15.43%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90047</td>\n","<td>52,200</td>\n","<td>548<br/>\n","1.05%</td>\n","<td>491<br/>\n","0.94%</td>\n","<td>27,004<br/>\n","51.73%</td>\n","<td>423<br/>\n","0.81%</td>\n","<td>1,253<br/>\n","2.40%</td>\n","<td>11,529<br/>\n","22.09%</td>\n","<td>5,301<br/>\n","10.16%</td>\n","<td>21,532<br/>\n","41.25%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90048</td>\n","<td>20,411</td>\n","<td>16<br/>\n","0.08%</td>\n","<td>1,474<br/>\n","7.22%</td>\n","<td>819<br/>\n","4.01%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>15,177<br/>\n","74.36%</td>\n","<td>720<br/>\n","3.53%</td>\n","<td>1,738<br/>\n","8.52%</td>\n","<td>1,629<br/>\n","7.98%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90049</td>\n","<td>35,819</td>\n","<td>39<br/>\n","0.11%</td>\n","<td>3,003<br/>\n","8.38%</td>\n","<td>528<br/>\n","1.47%</td>\n","<td>9<br/>\n","0.03%</td>\n","<td>27,259<br/>\n","76.10%</td>\n","<td>476<br/>\n","1.33%</td>\n","<td>3,427<br/>\n","9.57%</td>\n","<td>2,932<br/>\n","8.19%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90056</td>\n","<td>8,225</td>\n","<td>138<br/>\n","1.68%</td>\n","<td>361<br/>\n","4.39%</td>\n","<td>5,285<br/>\n","64.26%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>924<br/>\n","11.23%</td>\n","<td>335<br/>\n","4.07%</td>\n","<td>1,000<br/>\n","12.16%</td>\n","<td>920<br/>\n","11.19%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90057</td>\n","<td>47,142</td>\n","<td>1,409<br/>\n","2.99%</td>\n","<td>8,414<br/>\n","17.85%</td>\n","<td>3,173<br/>\n","6.73%</td>\n","<td>36<br/>\n","0.08%</td>\n","<td>2,711<br/>\n","5.75%</td>\n","<td>20,010<br/>\n","42.45%</td>\n","<td>3,623<br/>\n","7.69%</td>\n","<td>32,128<br/>\n","68.15%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90058</td>\n","<td>3,049</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>15<br/>\n","0.49%</td>\n","<td>504<br/>\n","16.53%</td>\n","<td>1<br/>\n","0.03%</td>\n","<td>328<br/>\n","10.76%</td>\n","<td>1,018<br/>\n","33.39%</td>\n","<td>178<br/>\n","5.84%</td>\n","<td>2,110<br/>\n","69.20%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90059</td>\n","<td>39,471</td>\n","<td>546<br/>\n","1.38%</td>\n","<td>209<br/>\n","0.53%</td>\n","<td>10,320<br/>\n","26.15%</td>\n","<td>10<br/>\n","0.03%</td>\n","<td>520<br/>\n","1.32%</td>\n","<td>14,269<br/>\n","36.15%</td>\n","<td>5,814<br/>\n","14.73%</td>\n","<td>27,628<br/>\n","70.00%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90061</td>\n","<td>28,646</td>\n","<td>943<br/>\n","3.29%</td>\n","<td>240<br/>\n","0.84%</td>\n","<td>7,639<br/>\n","26.67%</td>\n","<td>3<br/>\n","0.01%</td>\n","<td>405<br/>\n","1.41%</td>\n","<td>8,285<br/>\n","28.92%</td>\n","<td>5,092<br/>\n","17.78%</td>\n","<td>19,869<br/>\n","69.36%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90062</td>\n","<td>33,528</td>\n","<td>524<br/>\n","1.56%</td>\n","<td>772<br/>\n","2.30%</td>\n","<td>9,036<br/>\n","26.95%</td>\n","<td>82<br/>\n","0.24%</td>\n","<td>1,131<br/>\n","3.37%</td>\n","<td>11,772<br/>\n","35.11%</td>\n","<td>4,060<br/>\n","12.11%</td>\n","<td>21,555<br/>\n","64.29%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90063</td>\n","<td>52,008</td>\n","<td>1,088<br/>\n","2.09%</td>\n","<td>971<br/>\n","1.87%</td>\n","<td>302<br/>\n","0.58%</td>\n","<td>40<br/>\n","0.08%</td>\n","<td>1,631<br/>\n","3.14%</td>\n","<td>31,782<br/>\n","61.11%</td>\n","<td>5,330<br/>\n","10.25%</td>\n","<td>48,835<br/>\n","93.90%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90064</td>\n","<td>25,956</td>\n","<td>51<br/>\n","0.20%</td>\n","<td>4,902<br/>\n","18.89%</td>\n","<td>619<br/>\n","2.38%</td>\n","<td>60<br/>\n","0.23%</td>\n","<td>14,748<br/>\n","56.82%</td>\n","<td>1,348<br/>\n","5.19%</td>\n","<td>2,967<br/>\n","11.43%</td>\n","<td>3,737<br/>\n","14.40%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90065</td>\n","<td>44,897</td>\n","<td>1,084<br/>\n","2.41%</td>\n","<td>6,643<br/>\n","14.80%</td>\n","<td>817<br/>\n","1.82%</td>\n","<td>6<br/>\n","0.01%</td>\n","<td>12,420<br/>\n","27.66%</td>\n","<td>12,600<br/>\n","28.06%</td>\n","<td>6,578<br/>\n","14.65%</td>\n","<td>23,264<br/>\n","51.82%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90066</td>\n","<td>54,142</td>\n","<td>705<br/>\n","1.30%</td>\n","<td>7,989<br/>\n","14.76%</td>\n","<td>2,639<br/>\n","4.87%</td>\n","<td>70<br/>\n","0.13%</td>\n","<td>26,391<br/>\n","48.74%</td>\n","<td>5,220<br/>\n","9.64%</td>\n","<td>6,038<br/>\n","11.15%</td>\n","<td>13,822<br/>\n","25.53%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90067</td>\n","<td>2,653</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>473<br/>\n","17.83%</td>\n","<td>61<br/>\n","2.30%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>1,825<br/>\n","68.79%</td>\n","<td>73<br/>\n","2.75%</td>\n","<td>221<br/>\n","8.33%</td>\n","<td>166<br/>\n","6.26%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90068</td>\n","<td>21,064</td>\n","<td>31<br/>\n","0.15%</td>\n","<td>1,281<br/>\n","6.08%</td>\n","<td>1,419<br/>\n","6.74%</td>\n","<td>17<br/>\n","0.08%</td>\n","<td>15,031<br/>\n","71.36%</td>\n","<td>692<br/>\n","3.29%</td>\n","<td>1,614<br/>\n","7.66%</td>\n","<td>2,521<br/>\n","11.97%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90069</td>\n","<td>20,045</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>1,220<br/>\n","6.09%</td>\n","<td>521<br/>\n","2.60%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>15,472<br/>\n","77.19%</td>\n","<td>376<br/>\n","1.88%</td>\n","<td>1,563<br/>\n","7.80%</td>\n","<td>1,565<br/>\n","7.81%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90071</td>\n","<td>313</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>87<br/>\n","27.80%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>44<br/>\n","14.06%</td>\n","<td>87<br/>\n","27.80%</td>\n","<td>87<br/>\n","27.80%</td>\n","<td>138<br/>\n","44.09%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90077</td>\n","<td>7,868</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>539<br/>\n","6.85%</td>\n","<td>180<br/>\n","2.29%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>6,156<br/>\n","78.24%</td>\n","<td>163<br/>\n","2.07%</td>\n","<td>724<br/>\n","9.20%</td>\n","<td>467<br/>\n","5.94%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90089</td>\n","<td>4,164</td>\n","<td>22<br/>\n","0.53%</td>\n","<td>1,091<br/>\n","26.20%</td>\n","<td>409<br/>\n","9.82%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>1,658<br/>\n","39.82%</td>\n","<td>355<br/>\n","8.53%</td>\n","<td>449<br/>\n","10.78%</td>\n","<td>653<br/>\n","15.68%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90094</td>\n","<td>11,891</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>2,123<br/>\n","17.85%</td>\n","<td>889<br/>\n","7.48%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>6,575<br/>\n","55.29%</td>\n","<td>409<br/>\n","3.44%</td>\n","<td>1,502<br/>\n","12.63%</td>\n","<td>1,733<br/>\n","14.57%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90210</td>\n","<td>19,180</td>\n","<td>8<br/>\n","0.04%</td>\n","<td>1,101<br/>\n","5.74%</td>\n","<td>320<br/>\n","1.67%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>15,604<br/>\n","81.36%</td>\n","<td>332<br/>\n","1.73%</td>\n","<td>1,492<br/>\n","7.78%</td>\n","<td>1,145<br/>\n","5.97%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90230</td>\n","<td>32,005</td>\n","<td>72<br/>\n","0.22%</td>\n","<td>4,521<br/>\n","14.13%</td>\n","<td>2,832<br/>\n","8.85%</td>\n","<td>87<br/>\n","0.27%</td>\n","<td>12,660<br/>\n","39.56%</td>\n","<td>2,361<br/>\n","7.38%</td>\n","<td>5,352<br/>\n","16.72%</td>\n","<td>9,649<br/>\n","30.15%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90248</td>\n","<td>11,453</td>\n","<td>73<br/>\n","0.64%</td>\n","<td>3,827<br/>\n","33.41%</td>\n","<td>2,150<br/>\n","18.77%</td>\n","<td>31<br/>\n","0.27%</td>\n","<td>720<br/>\n","6.29%</td>\n","<td>2,244<br/>\n","19.59%</td>\n","<td>1,233<br/>\n","10.77%</td>\n","<td>3,864<br/>\n","33.74%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90272</td>\n","<td>21,298</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>1,596<br/>\n","7.49%</td>\n","<td>172<br/>\n","0.81%</td>\n","<td>2<br/>\n","0.01%</td>\n","<td>17,072<br/>\n","80.16%</td>\n","<td>143<br/>\n","0.67%</td>\n","<td>1,798<br/>\n","8.44%</td>\n","<td>961<br/>\n","4.51%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90290</td>\n","<td>5,300</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>238<br/>\n","4.49%</td>\n","<td>128<br/>\n","2.42%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>3,972<br/>\n","74.94%</td>\n","<td>345<br/>\n","6.51%</td>\n","<td>316<br/>\n","5.96%</td>\n","<td>448<br/>\n","8.45%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90291</td>\n","<td>25,656</td>\n","<td>316<br/>\n","1.23%</td>\n","<td>1,247<br/>\n","4.86%</td>\n","<td>1,495<br/>\n","5.83%</td>\n","<td>40<br/>\n","0.16%</td>\n","<td>17,029<br/>\n","66.37%</td>\n","<td>1,464<br/>\n","5.71%</td>\n","<td>2,443<br/>\n","9.52%</td>\n","<td>4,396<br/>\n","17.13%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90292</td>\n","<td>24,481</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>2,420<br/>\n","9.89%</td>\n","<td>1,604<br/>\n","6.55%</td>\n","<td>32<br/>\n","0.13%</td>\n","<td>16,099<br/>\n","65.76%</td>\n","<td>396<br/>\n","1.62%</td>\n","<td>2,528<br/>\n","10.33%</td>\n","<td>2,590<br/>\n","10.58%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90293</td>\n","<td>13,039</td>\n","<td>44<br/>\n","0.34%</td>\n","<td>1,488<br/>\n","11.41%</td>\n","<td>465<br/>\n","3.57%</td>\n","<td>13<br/>\n","0.10%</td>\n","<td>8,555<br/>\n","65.61%</td>\n","<td>466<br/>\n","3.57%</td>\n","<td>1,138<br/>\n","8.73%</td>\n","<td>2,200<br/>\n","16.87%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90402</td>\n","<td>11,816</td>\n","<td>39<br/>\n","0.33%</td>\n","<td>1,035<br/>\n","8.76%</td>\n","<td>66<br/>\n","0.56%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>8,694<br/>\n","73.58%</td>\n","<td>120<br/>\n","1.02%</td>\n","<td>1,282<br/>\n","10.85%</td>\n","<td>1,383<br/>\n","11.70%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90501</td>\n","<td>42,536</td>\n","<td>135<br/>\n","0.32%</td>\n","<td>11,634<br/>\n","27.35%</td>\n","<td>2,378<br/>\n","5.59%</td>\n","<td>77<br/>\n","0.18%</td>\n","<td>8,468<br/>\n","19.91%</td>\n","<td>9,595<br/>\n","22.56%</td>\n","<td>6,064<br/>\n","14.26%</td>\n","<td>18,256<br/>\n","42.92%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90502</td>\n","<td>18,430</td>\n","<td>165<br/>\n","0.90%</td>\n","<td>7,398<br/>\n","40.14%</td>\n","<td>1,369<br/>\n","7.43%</td>\n","<td>85<br/>\n","0.46%</td>\n","<td>2,492<br/>\n","13.52%</td>\n","<td>3,320<br/>\n","18.01%</td>\n","<td>1,963<br/>\n","10.65%</td>\n","<td>6,413<br/>\n","34.80%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90710</td>\n","<td>27,517</td>\n","<td>134<br/>\n","0.49%</td>\n","<td>5,973<br/>\n","21.71%</td>\n","<td>3,414<br/>\n","12.41%</td>\n","<td>25<br/>\n","0.09%</td>\n","<td>4,722<br/>\n","17.16%</td>\n","<td>4,244<br/>\n","15.42%</td>\n","<td>4,952<br/>\n","18.00%</td>\n","<td>12,554<br/>\n","45.62%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">90731</td>\n","<td>63,431</td>\n","<td>600<br/>\n","0.95%</td>\n","<td>3,701<br/>\n","5.83%</td>\n","<td>3,366<br/>\n","5.31%</td>\n","<td>333<br/>\n","0.52%</td>\n","<td>16,728<br/>\n","26.37%</td>\n","<td>11,442<br/>\n","18.04%</td>\n","<td>10,542<br/>\n","16.62%</td>\n","<td>36,600<br/>\n","57.70%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90732</td>\n","<td>22,078</td>\n","<td>40<br/>\n","0.18%</td>\n","<td>2,333<br/>\n","10.57%</td>\n","<td>1,015<br/>\n","4.60%</td>\n","<td>38<br/>\n","0.17%</td>\n","<td>10,730<br/>\n","48.60%</td>\n","<td>1,594<br/>\n","7.22%</td>\n","<td>3,212<br/>\n","14.55%</td>\n","<td>7,064<br/>\n","32.00%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90744</td>\n","<td>54,277</td>\n","<td>401<br/>\n","0.74%</td>\n","<td>1,840<br/>\n","3.39%</td>\n","<td>1,918<br/>\n","3.53%</td>\n","<td>270<br/>\n","0.50%</td>\n","<td>1,942<br/>\n","3.58%</td>\n","<td>12,386<br/>\n","22.82%</td>\n","<td>6,328<br/>\n","11.66%</td>\n","<td>47,987<br/>\n","88.41%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">90810</td>\n","<td>36,306</td>\n","<td>426<br/>\n","1.17%</td>\n","<td>8,573<br/>\n","23.61%</td>\n","<td>3,089<br/>\n","8.51%</td>\n","<td>623<br/>\n","1.72%</td>\n","<td>2,362<br/>\n","6.51%</td>\n","<td>7,804<br/>\n","21.50%</td>\n","<td>3,836<br/>\n","10.57%</td>\n","<td>20,479<br/>\n","56.41%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91040</td>\n","<td>20,911</td>\n","<td>39<br/>\n","0.19%</td>\n","<td>2,084<br/>\n","9.97%</td>\n","<td>607<br/>\n","2.90%</td>\n","<td>6<br/>\n","0.03%</td>\n","<td>12,729<br/>\n","60.87%</td>\n","<td>993<br/>\n","4.75%</td>\n","<td>2,877<br/>\n","13.76%</td>\n","<td>4,657<br/>\n","22.27%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">91042</td>\n","<td>27,119</td>\n","<td>226<br/>\n","0.83%</td>\n","<td>2,492<br/>\n","9.19%</td>\n","<td>518<br/>\n","1.91%</td>\n","<td>37<br/>\n","0.14%</td>\n","<td>15,904<br/>\n","58.65%</td>\n","<td>2,610<br/>\n","9.62%</td>\n","<td>3,849<br/>\n","14.19%</td>\n","<td>7,153<br/>\n","26.38%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91303</td>\n","<td>30,611</td>\n","<td>425<br/>\n","1.39%</td>\n","<td>3,245<br/>\n","10.60%</td>\n","<td>1,179<br/>\n","3.85%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>7,473<br/>\n","24.41%</td>\n","<td>11,271<br/>\n","36.82%</td>\n","<td>3,670<br/>\n","11.99%</td>\n","<td>18,126<br/>\n","59.21%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91304</td>\n","<td>54,369</td>\n","<td>440<br/>\n","0.81%</td>\n","<td>8,639<br/>\n","15.89%</td>\n","<td>2,630<br/>\n","4.84%</td>\n","<td>21<br/>\n","0.04%</td>\n","<td>17,464<br/>\n","32.12%</td>\n","<td>14,306<br/>\n","26.31%</td>\n","<td>5,304<br/>\n","9.76%</td>\n","<td>23,319<br/>\n","42.89%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91306</td>\n","<td>49,460</td>\n","<td>424<br/>\n","0.86%</td>\n","<td>9,066<br/>\n","18.33%</td>\n","<td>1,632<br/>\n","3.30%</td>\n","<td>24<br/>\n","0.05%</td>\n","<td>11,993<br/>\n","24.25%</td>\n","<td>16,133<br/>\n","32.62%</td>\n","<td>5,578<br/>\n","11.28%</td>\n","<td>24,545<br/>\n","49.63%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91307</td>\n","<td>25,368</td>\n","<td>105<br/>\n","0.41%</td>\n","<td>4,522<br/>\n","17.83%</td>\n","<td>1,148<br/>\n","4.53%</td>\n","<td>16<br/>\n","0.06%</td>\n","<td>14,465<br/>\n","57.02%</td>\n","<td>1,676<br/>\n","6.61%</td>\n","<td>2,424<br/>\n","9.56%</td>\n","<td>3,899<br/>\n","15.37%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">91311</td>\n","<td>40,196</td>\n","<td>224<br/>\n","0.56%</td>\n","<td>7,194<br/>\n","17.90%</td>\n","<td>2,485<br/>\n","6.18%</td>\n","<td>59<br/>\n","0.15%</td>\n","<td>17,468<br/>\n","43.46%</td>\n","<td>4,128<br/>\n","10.27%</td>\n","<td>5,575<br/>\n","13.87%</td>\n","<td>11,250<br/>\n","27.99%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91316</td>\n","<td>34,305</td>\n","<td>365<br/>\n","1.06%</td>\n","<td>2,684<br/>\n","7.82%</td>\n","<td>727<br/>\n","2.12%</td>\n","<td>98<br/>\n","0.29%</td>\n","<td>11,357<br/>\n","33.11%</td>\n","<td>5,860<br/>\n","17.08%</td>\n","<td>7,636<br/>\n","22.26%</td>\n","<td>18,443<br/>\n","53.76%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91324</td>\n","<td>29,744</td>\n","<td>263<br/>\n","0.88%</td>\n","<td>5,978<br/>\n","20.10%</td>\n","<td>1,697<br/>\n","5.71%</td>\n","<td>40<br/>\n","0.13%</td>\n","<td>9,548<br/>\n","32.10%</td>\n","<td>7,746<br/>\n","26.04%</td>\n","<td>2,882<br/>\n","9.69%</td>\n","<td>11,485<br/>\n","38.61%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91325</td>\n","<td>35,537</td>\n","<td>155<br/>\n","0.44%</td>\n","<td>5,719<br/>\n","16.09%</td>\n","<td>2,045<br/>\n","5.75%</td>\n","<td>74<br/>\n","0.21%</td>\n","<td>12,766<br/>\n","35.92%</td>\n","<td>8,709<br/>\n","24.51%</td>\n","<td>3,913<br/>\n","11.01%</td>\n","<td>13,524<br/>\n","38.06%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91326</td>\n","<td>36,503</td>\n","<td>258<br/>\n","0.71%</td>\n","<td>11,410<br/>\n","31.26%</td>\n","<td>3,026<br/>\n","8.29%</td>\n","<td>45<br/>\n","0.12%</td>\n","<td>15,138<br/>\n","41.47%</td>\n","<td>1,956<br/>\n","5.36%</td>\n","<td>3,505<br/>\n","9.60%</td>\n","<td>4,897<br/>\n","13.42%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">91330</td>\n","<td>2,699</td>\n","<td>5<br/>\n","0.19%</td>\n","<td>572<br/>\n","21.19%</td>\n","<td>228<br/>\n","8.45%</td>\n","<td>3<br/>\n","0.11%</td>\n","<td>926<br/>\n","34.31%</td>\n","<td>292<br/>\n","10.82%</td>\n","<td>277<br/>\n","10.26%</td>\n","<td>826<br/>\n","30.60%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91331</td>\n","<td>99,804</td>\n","<td>1,007<br/>\n","1.01%</td>\n","<td>4,574<br/>\n","4.58%</td>\n","<td>1,902<br/>\n","1.91%</td>\n","<td>88<br/>\n","0.09%</td>\n","<td>4,498<br/>\n","4.51%</td>\n","<td>36,389<br/>\n","36.46%</td>\n","<td>21,910<br/>\n","21.95%</td>\n","<td>87,853<br/>\n","88.03%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91335</td>\n","<td>77,158</td>\n","<td>647<br/>\n","0.84%</td>\n","<td>9,605<br/>\n","12.45%</td>\n","<td>3,190<br/>\n","4.13%</td>\n","<td>222<br/>\n","0.29%</td>\n","<td>21,210<br/>\n","27.49%</td>\n","<td>25,698<br/>\n","33.31%</td>\n","<td>7,495<br/>\n","9.71%</td>\n","<td>40,540<br/>\n","52.54%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91340</td>\n","<td>34,822</td>\n","<td>387<br/>\n","1.11%</td>\n","<td>929<br/>\n","2.67%</td>\n","<td>694<br/>\n","1.99%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>1,200<br/>\n","3.45%</td>\n","<td>12,782<br/>\n","36.71%</td>\n","<td>6,620<br/>\n","19.01%</td>\n","<td>31,842<br/>\n","91.44%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91342</td>\n","<td>92,580</td>\n","<td>1,374<br/>\n","1.48%</td>\n","<td>7,151<br/>\n","7.72%</td>\n","<td>3,511<br/>\n","3.79%</td>\n","<td>243<br/>\n","0.26%</td>\n","<td>11,664<br/>\n","12.60%</td>\n","<td>24,061<br/>\n","25.99%</td>\n","<td>16,410<br/>\n","17.73%</td>\n","<td>68,855<br/>\n","74.37%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">91343</td>\n","<td>63,193</td>\n","<td>715<br/>\n","1.13%</td>\n","<td>8,564<br/>\n","13.55%</td>\n","<td>3,179<br/>\n","5.03%</td>\n","<td>44<br/>\n","0.07%</td>\n","<td>12,656<br/>\n","20.03%</td>\n","<td>21,708<br/>\n","34.35%</td>\n","<td>9,276<br/>\n","14.68%</td>\n","<td>37,511<br/>\n","59.36%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91344</td>\n","<td>53,862</td>\n","<td>415<br/>\n","0.77%</td>\n","<td>9,411<br/>\n","17.47%</td>\n","<td>1,620<br/>\n","3.01%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>23,648<br/>\n","43.90%</td>\n","<td>6,089<br/>\n","11.30%</td>\n","<td>7,242<br/>\n","13.45%</td>\n","<td>17,103<br/>\n","31.75%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91345</td>\n","<td>18,481</td>\n","<td>315<br/>\n","1.70%</td>\n","<td>1,907<br/>\n","10.32%</td>\n","<td>375<br/>\n","2.03%</td>\n","<td>264<br/>\n","1.43%</td>\n","<td>3,198<br/>\n","17.30%</td>\n","<td>6,857<br/>\n","37.10%</td>\n","<td>2,952<br/>\n","15.97%</td>\n","<td>12,411<br/>\n","67.16%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91352</td>\n","<td>45,601</td>\n","<td>526<br/>\n","1.15%</td>\n","<td>2,209<br/>\n","4.84%</td>\n","<td>1,015<br/>\n","2.23%</td>\n","<td>140<br/>\n","0.31%</td>\n","<td>9,568<br/>\n","20.98%</td>\n","<td>12,765<br/>\n","27.99%</td>\n","<td>10,218<br/>\n","22.41%</td>\n","<td>31,826<br/>\n","69.79%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91356</td>\n","<td>30,599</td>\n","<td>127<br/>\n","0.42%</td>\n","<td>2,245<br/>\n","7.34%</td>\n","<td>1,895<br/>\n","6.19%</td>\n","<td>8<br/>\n","0.03%</td>\n","<td>19,367<br/>\n","63.29%</td>\n","<td>2,407<br/>\n","7.87%</td>\n","<td>3,216<br/>\n","10.51%</td>\n","<td>5,070<br/>\n","16.57%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">91364</td>\n","<td>28,765</td>\n","<td>83<br/>\n","0.29%</td>\n","<td>2,971<br/>\n","10.33%</td>\n","<td>1,610<br/>\n","5.60%</td>\n","<td>37<br/>\n","0.13%</td>\n","<td>18,316<br/>\n","63.67%</td>\n","<td>1,568<br/>\n","5.45%</td>\n","<td>2,774<br/>\n","9.64%</td>\n","<td>3,783<br/>\n","13.15%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91367</td>\n","<td>44,862</td>\n","<td>205<br/>\n","0.46%</td>\n","<td>5,762<br/>\n","12.84%</td>\n","<td>3,251<br/>\n","7.25%</td>\n","<td>44<br/>\n","0.10%</td>\n","<td>26,646<br/>\n","59.40%</td>\n","<td>2,198<br/>\n","4.90%</td>\n","<td>3,979<br/>\n","8.87%</td>\n","<td>6,933<br/>\n","15.45%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91401</td>\n","<td>39,179</td>\n","<td>456<br/>\n","1.16%</td>\n","<td>1,885<br/>\n","4.81%</td>\n","<td>2,122<br/>\n","5.42%</td>\n","<td>38<br/>\n","0.10%</td>\n","<td>16,138<br/>\n","41.19%</td>\n","<td>7,716<br/>\n","19.69%</td>\n","<td>6,560<br/>\n","16.74%</td>\n","<td>17,301<br/>\n","44.16%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91402</td>\n","<td>67,937</td>\n","<td>512<br/>\n","0.75%</td>\n","<td>10,311<br/>\n","15.18%</td>\n","<td>2,196<br/>\n","3.23%</td>\n","<td>58<br/>\n","0.09%</td>\n","<td>7,246<br/>\n","10.67%</td>\n","<td>37,185<br/>\n","54.73%</td>\n","<td>5,189<br/>\n","7.64%</td>\n","<td>47,590<br/>\n","70.05%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91403</td>\n","<td>25,887</td>\n","<td>66<br/>\n","0.25%</td>\n","<td>2,108<br/>\n","8.14%</td>\n","<td>1,566<br/>\n","6.05%</td>\n","<td>23<br/>\n","0.09%</td>\n","<td>16,523<br/>\n","63.83%</td>\n","<td>1,127<br/>\n","4.35%</td>\n","<td>3,032<br/>\n","11.71%</td>\n","<td>4,288<br/>\n","16.56%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">91405</td>\n","<td>55,451</td>\n","<td>461<br/>\n","0.83%</td>\n","<td>4,985<br/>\n","8.99%</td>\n","<td>2,371<br/>\n","4.28%</td>\n","<td>7<br/>\n","0.01%</td>\n","<td>13,099<br/>\n","23.62%</td>\n","<td>19,386<br/>\n","34.96%</td>\n","<td>7,804<br/>\n","14.07%</td>\n","<td>33,815<br/>\n","60.98%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91406</td>\n","<td>53,276</td>\n","<td>486<br/>\n","0.91%</td>\n","<td>3,961<br/>\n","7.43%</td>\n","<td>2,348<br/>\n","4.41%</td>\n","<td>19<br/>\n","0.04%</td>\n","<td>14,155<br/>\n","26.57%</td>\n","<td>17,537<br/>\n","32.92%</td>\n","<td>8,347<br/>\n","15.67%</td>\n","<td>30,707<br/>\n","57.64%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91411</td>\n","<td>23,689</td>\n","<td>117<br/>\n","0.49%</td>\n","<td>2,100<br/>\n","8.86%</td>\n","<td>1,721<br/>\n","7.26%</td>\n","<td>29<br/>\n","0.12%</td>\n","<td>7,805<br/>\n","32.95%</td>\n","<td>5,298<br/>\n","22.36%</td>\n","<td>3,501<br/>\n","14.78%</td>\n","<td>11,299<br/>\n","47.70%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91423</td>\n","<td>31,787</td>\n","<td>48<br/>\n","0.15%</td>\n","<td>1,732<br/>\n","5.45%</td>\n","<td>1,580<br/>\n","4.97%</td>\n","<td>27<br/>\n","0.08%</td>\n","<td>21,614<br/>\n","68.00%</td>\n","<td>972<br/>\n","3.06%</td>\n","<td>4,233<br/>\n","13.32%</td>\n","<td>4,413<br/>\n","13.88%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91436</td>\n","<td>16,190</td>\n","<td>64<br/>\n","0.40%</td>\n","<td>729<br/>\n","4.50%</td>\n","<td>338<br/>\n","2.09%</td>\n","<td>17<br/>\n","0.11%</td>\n","<td>13,098<br/>\n","80.90%</td>\n","<td>482<br/>\n","2.98%</td>\n","<td>991<br/>\n","6.12%</td>\n","<td>1,254<br/>\n","7.75%</td>\n","</tr>\n","</tbody>\n","<thead>\n","<tr>\n","<th class=\"text-left\" rowspan=\"2\">Zip Code</th>\n","<th rowspan=\"2\">Total Population, All Races</th>\n","<th class=\"text-left\" colspan=\"6\">Population of One Race Alone <sup>†</sup></th>\n","<th rowspan=\"2\">Two or More Races</th>\n","<th rowspan=\"2\">Hispanic or Latino</th>\n","</tr>\n","<tr>\n","<th>American Indian &amp; Alaska Native</th>\n","<th>Asian</th>\n","<th>Black or African American</th>\n","<th>Native Hawaiian &amp; Other Pacific Islander</th>\n","<th>White (Not Hispanic or Latino)</th>\n","<th>Some Other Race</th>\n","</tr>\n","</thead>\n","<tbody>\n","<tr>\n","<td class=\"text-left\">91601</td>\n","<td>35,615</td>\n","<td>68<br/>\n","0.19%</td>\n","<td>3,165<br/>\n","8.89%</td>\n","<td>3,479<br/>\n","9.77%</td>\n","<td>61<br/>\n","0.17%</td>\n","<td>15,904<br/>\n","44.66%</td>\n","<td>4,540<br/>\n","12.75%</td>\n","<td>4,216<br/>\n","11.84%</td>\n","<td>11,778<br/>\n","33.07%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91602</td>\n","<td>19,980</td>\n","<td>83<br/>\n","0.42%</td>\n","<td>1,918<br/>\n","9.60%</td>\n","<td>1,433<br/>\n","7.17%</td>\n","<td>89<br/>\n","0.45%</td>\n","<td>11,869<br/>\n","59.40%</td>\n","<td>1,428<br/>\n","7.15%</td>\n","<td>2,386<br/>\n","11.94%</td>\n","<td>3,709<br/>\n","18.56%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91604</td>\n","<td>32,073</td>\n","<td>93<br/>\n","0.29%</td>\n","<td>2,765<br/>\n","8.62%</td>\n","<td>1,366<br/>\n","4.26%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>22,133<br/>\n","69.01%</td>\n","<td>942<br/>\n","2.94%</td>\n","<td>3,544<br/>\n","11.05%</td>\n","<td>3,817<br/>\n","11.90%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91605</td>\n","<td>51,654</td>\n","<td>755<br/>\n","1.46%</td>\n","<td>4,375<br/>\n","8.47%</td>\n","<td>1,050<br/>\n","2.03%</td>\n","<td>21<br/>\n","0.04%</td>\n","<td>14,070<br/>\n","27.24%</td>\n","<td>14,383<br/>\n","27.84%</td>\n","<td>8,388<br/>\n","16.24%</td>\n","<td>31,259<br/>\n","60.52%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91606</td>\n","<td>43,552</td>\n","<td>560<br/>\n","1.29%</td>\n","<td>1,720<br/>\n","3.95%</td>\n","<td>2,182<br/>\n","5.01%</td>\n","<td>0<br/>\n","0.00%</td>\n","<td>14,704<br/>\n","33.76%</td>\n","<td>10,326<br/>\n","23.71%</td>\n","<td>6,511<br/>\n","14.95%</td>\n","<td>23,367<br/>\n","53.65%</td>\n","</tr>\n","<tr>\n","<td class=\"text-left\">91607</td>\n","<td>30,734</td>\n","<td>111<br/>\n","0.36%</td>\n","<td>2,513<br/>\n","8.18%</td>\n","<td>2,177<br/>\n","7.08%</td>\n","<td>31<br/>\n","0.10%</td>\n","<td>16,936<br/>\n","55.11%</td>\n","<td>2,900<br/>\n","9.44%</td>\n","<td>4,561<br/>\n","14.84%</td>\n","<td>7,152<br/>\n","23.27%</td>\n","</tr>\n","</tbody>\n","</table>"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","source":["races = [\n","    \"American Indian & Alaska Native\", \"Asian\", \"Black or African American\",\n","    \"Native Hawaiian & Other Pacific Islander\", \"White (Not Hispanic or Latino)\",\n","    \"Some Other Race\", \"Two or More Races\", \"Hispanic or Latino\"\n","]\n","\n","# Initialize a list to store the extracted data\n","data = []\n","\n","# Find the table body\n","tbody = soup.find('tbody')\n","\n","# Iterate over each row in the table body\n","for row in tbody.find_all('tr'):\n","    columns = row.find_all('td')\n","    zip_code = columns[0].text.strip()  # Extract Zip Code\n","    total_population = columns[1].text.strip()  # Extract Total Population\n","\n","    # Extract race-wise population and percentages\n","    race_data = {}\n","    for i, race in enumerate(races, start=2):\n","        race_info = columns[i].text.split(\"<br/>\")\n","        population = race_info[0].strip()\n","        percentage = race_info[1].strip() if len(race_info) > 1 else None\n","        race_data[race] = {\"Population\": population, \"Percentage\": percentage}\n","\n","    # Append the extracted data to the list\n","    data.append({\"Zip Code\": zip_code, \"Total Population\": total_population, **race_data})\n","\n","# Convert the list to a pandas DataFrame for easier manipulation\n","df = pd.DataFrame(data)"],"metadata":{"id":"XHJWepchpRZq","executionInfo":{"status":"ok","timestamp":1723433632595,"user_tz":420,"elapsed":299,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":15,"outputs":[]},{"cell_type":"code","source":["df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":608},"id":"vUjeHlXbpkD6","executionInfo":{"status":"ok","timestamp":1723433642020,"user_tz":420,"elapsed":187,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"0a7fab2f-296d-4d02-a836-1b0f4e6aa620"},"execution_count":16,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       Zip Code Total Population  \\\n","0  City of L.A.        3,881,041   \n","1         90001           57,652   \n","2         90002           53,108   \n","3         90003           75,024   \n","4         90004           58,833   \n","\n","                     American Indian & Alaska Native  \\\n","0  {'Population': '40,695\n","1.05%', 'Percentage': ...   \n","1  {'Population': '1,226\n","2.13%', 'Percentage': N...   \n","2  {'Population': '1,974\n","3.72%', 'Percentage': N...   \n","3   {'Population': '598\n","0.80%', 'Percentage': None}   \n","4   {'Population': '741\n","1.26%', 'Percentage': None}   \n","\n","                                               Asian  \\\n","0  {'Population': '458,721\n","11.82%', 'Percentage'...   \n","1   {'Population': '348\n","0.60%', 'Percentage': None}   \n","2   {'Population': '611\n","1.15%', 'Percentage': None}   \n","3   {'Population': '350\n","0.47%', 'Percentage': None}   \n","4  {'Population': '14,584\n","24.79%', 'Percentage':...   \n","\n","                           Black or African American  \\\n","0  {'Population': '332,173\n","8.56%', 'Percentage':...   \n","1  {'Population': '4,295\n","7.45%', 'Percentage': N...   \n","2  {'Population': '8,355\n","15.73%', 'Percentage': ...   \n","3  {'Population': '12,352\n","16.46%', 'Percentage':...   \n","4  {'Population': '2,619\n","4.45%', 'Percentage': N...   \n","\n","            Native Hawaiian & Other Pacific Islander  \\\n","0  {'Population': '5,709\n","0.15%', 'Percentage': N...   \n","1    {'Population': '13\n","0.02%', 'Percentage': None}   \n","2    {'Population': '53\n","0.10%', 'Percentage': None}   \n","3     {'Population': '0\n","0.00%', 'Percentage': None}   \n","4    {'Population': '68\n","0.12%', 'Percentage': None}   \n","\n","                      White (Not Hispanic or Latino)  \\\n","0  {'Population': '1,069,141\n","27.55%', 'Percentag...   \n","1   {'Population': '373\n","0.65%', 'Percentage': None}   \n","2   {'Population': '200\n","0.38%', 'Percentage': None}   \n","3   {'Population': '354\n","0.47%', 'Percentage': None}   \n","4  {'Population': '12,108\n","20.58%', 'Percentage':...   \n","\n","                                     Some Other Race  \\\n","0  {'Population': '952,377\n","24.54%', 'Percentage'...   \n","1  {'Population': '23,449\n","40.67%', 'Percentage':...   \n","2  {'Population': '20,939\n","39.43%', 'Percentage':...   \n","3  {'Population': '35,695\n","47.58%', 'Percentage':...   \n","4  {'Population': '18,307\n","31.12%', 'Percentage':...   \n","\n","                                   Two or More Races  \\\n","0  {'Population': '493,491\n","12.72%', 'Percentage'...   \n","1  {'Population': '12,037\n","20.88%', 'Percentage':...   \n","2  {'Population': '8,870\n","16.70%', 'Percentage': ...   \n","3  {'Population': '13,140\n","17.51%', 'Percentage':...   \n","4  {'Population': '5,495\n","9.34%', 'Percentage': N...   \n","\n","                                  Hispanic or Latino  \n","0  {'Population': '1,828,315\n","47.11%', 'Percentag...  \n","1  {'Population': '52,642\n","91.31%', 'Percentage':...  \n","2  {'Population': '43,766\n","82.41%', 'Percentage':...  \n","3  {'Population': '61,179\n","81.55%', 'Percentage':...  \n","4  {'Population': '27,410\n","46.59%', 'Percentage':...  "],"text/html":["\n","  <div id=\"df-4ea487f4-751f-4f62-a7e4-ca4028c5c99f\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Zip Code</th>\n","      <th>Total Population</th>\n","      <th>American Indian &amp; Alaska Native</th>\n","      <th>Asian</th>\n","      <th>Black or African American</th>\n","      <th>Native Hawaiian &amp; Other Pacific Islander</th>\n","      <th>White (Not Hispanic or Latino)</th>\n","      <th>Some Other Race</th>\n","      <th>Two or More Races</th>\n","      <th>Hispanic or Latino</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>City of L.A.</td>\n","      <td>3,881,041</td>\n","      <td>{'Population': '40,695\r\n","1.05%', 'Percentage': ...</td>\n","      <td>{'Population': '458,721\r\n","11.82%', 'Percentage'...</td>\n","      <td>{'Population': '332,173\r\n","8.56%', 'Percentage':...</td>\n","      <td>{'Population': '5,709\r\n","0.15%', 'Percentage': N...</td>\n","      <td>{'Population': '1,069,141\r\n","27.55%', 'Percentag...</td>\n","      <td>{'Population': '952,377\r\n","24.54%', 'Percentage'...</td>\n","      <td>{'Population': '493,491\r\n","12.72%', 'Percentage'...</td>\n","      <td>{'Population': '1,828,315\r\n","47.11%', 'Percentag...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>90001</td>\n","      <td>57,652</td>\n","      <td>{'Population': '1,226\r\n","2.13%', 'Percentage': N...</td>\n","      <td>{'Population': '348\r\n","0.60%', 'Percentage': None}</td>\n","      <td>{'Population': '4,295\r\n","7.45%', 'Percentage': N...</td>\n","      <td>{'Population': '13\r\n","0.02%', 'Percentage': None}</td>\n","      <td>{'Population': '373\r\n","0.65%', 'Percentage': None}</td>\n","      <td>{'Population': '23,449\r\n","40.67%', 'Percentage':...</td>\n","      <td>{'Population': '12,037\r\n","20.88%', 'Percentage':...</td>\n","      <td>{'Population': '52,642\r\n","91.31%', 'Percentage':...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90002</td>\n","      <td>53,108</td>\n","      <td>{'Population': '1,974\r\n","3.72%', 'Percentage': N...</td>\n","      <td>{'Population': '611\r\n","1.15%', 'Percentage': None}</td>\n","      <td>{'Population': '8,355\r\n","15.73%', 'Percentage': ...</td>\n","      <td>{'Population': '53\r\n","0.10%', 'Percentage': None}</td>\n","      <td>{'Population': '200\r\n","0.38%', 'Percentage': None}</td>\n","      <td>{'Population': '20,939\r\n","39.43%', 'Percentage':...</td>\n","      <td>{'Population': '8,870\r\n","16.70%', 'Percentage': ...</td>\n","      <td>{'Population': '43,766\r\n","82.41%', 'Percentage':...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90003</td>\n","      <td>75,024</td>\n","      <td>{'Population': '598\r\n","0.80%', 'Percentage': None}</td>\n","      <td>{'Population': '350\r\n","0.47%', 'Percentage': None}</td>\n","      <td>{'Population': '12,352\r\n","16.46%', 'Percentage':...</td>\n","      <td>{'Population': '0\r\n","0.00%', 'Percentage': None}</td>\n","      <td>{'Population': '354\r\n","0.47%', 'Percentage': None}</td>\n","      <td>{'Population': '35,695\r\n","47.58%', 'Percentage':...</td>\n","      <td>{'Population': '13,140\r\n","17.51%', 'Percentage':...</td>\n","      <td>{'Population': '61,179\r\n","81.55%', 'Percentage':...</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90004</td>\n","      <td>58,833</td>\n","      <td>{'Population': '741\r\n","1.26%', 'Percentage': None}</td>\n","      <td>{'Population': '14,584\r\n","24.79%', 'Percentage':...</td>\n","      <td>{'Population': '2,619\r\n","4.45%', 'Percentage': N...</td>\n","      <td>{'Population': '68\r\n","0.12%', 'Percentage': None}</td>\n","      <td>{'Population': '12,108\r\n","20.58%', 'Percentage':...</td>\n","      <td>{'Population': '18,307\r\n","31.12%', 'Percentage':...</td>\n","      <td>{'Population': '5,495\r\n","9.34%', 'Percentage': N...</td>\n","      <td>{'Population': '27,410\r\n","46.59%', 'Percentage':...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4ea487f4-751f-4f62-a7e4-ca4028c5c99f')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 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Therefore we will modify our scraping function to obtain a more legible data set."],"metadata":{"id":"hKqrHUKyq2y6"}},{"cell_type":"code","source":["\n","# Step 1: Fetch the webpage content\n","url = \"https://www.laalmanac.com/population/po24la_zip.php\"\n","response = requests.get(url)\n","html_content = response.text\n","\n","# Step 2: Parse the HTML content using BeautifulSoup\n","soup = BeautifulSoup(html_content, 'html.parser')\n","\n","# Step 3: Define the races of interest\n","races = [\n","    \"American Indian & Alaska Native\", \"Asian\", \"Black or African American\",\n","    \"Native Hawaiian & Other Pacific Islander\", \"White (Not Hispanic or Latino)\",\n","    \"Some Other Race\", \"Two or More Races\", \"Hispanic or Latino\"\n","]\n","\n","# Step 4: Initialize a list to store the extracted data\n","data = []\n","\n","# Step 5: Find all table bodies in the HTML\n","tbodies = soup.find_all('tbody')\n","\n","# Step 6: Iterate over each tbody in the list\n","for tbody in tbodies:\n","    # Step 7: Iterate over each row in the current tbody\n","    for row in tbody.find_all('tr'):\n","        columns = row.find_all('td')\n","        if len(columns) == 0:\n","            continue  # Skip any empty rows\n","\n","        zip_code = columns[0].text.strip()  # Extract Zip Code\n","        total_population = columns[1].text.strip()  # Extract Total Population\n","\n","        # Extract race-wise population and percentages\n","        race_data = {}\n","        for i, race in enumerate(races, start=2):\n","            race_info = columns[i].get_text(separator=\" \").split()\n","            population = race_info[0].strip()\n","            percentage = race_info[1].strip() if len(race_info) > 1 else None\n","            race_data[race] =  percentage\n","\n","        # Append the extracted data to the list\n","        data.append({\"Zip Code\": zip_code, \"Total Population\": total_population, **race_data})\n","\n","# Step 8: Convert the list to a pandas DataFrame for easier manipulation\n","df = pd.DataFrame(data)\n","\n"],"metadata":{"id":"cwQi7jzypmaX","executionInfo":{"status":"ok","timestamp":1723434210122,"user_tz":420,"elapsed":830,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":17,"outputs":[]},{"cell_type":"code","source":["df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":510},"id":"5Mggj8Ocrw7u","executionInfo":{"status":"ok","timestamp":1723434218806,"user_tz":420,"elapsed":208,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"ecadbe4b-416c-45e3-9139-1d8167e605e2"},"execution_count":18,"outputs":[{"output_type":"execute_result","data":{"text/plain":["         Zip Code Total Population American Indian & Alaska Native   Asian  \\\n","0    City of L.A.        3,881,041                           1.05%  11.82%   \n","1           90001           57,652                           2.13%   0.60%   \n","2           90002           53,108                           3.72%   1.15%   \n","3           90003           75,024                           0.80%   0.47%   \n","4           90004           58,833                           1.26%  24.79%   \n","..            ...              ...                             ...     ...   \n","111         91602           19,980                           0.42%   9.60%   \n","112         91604           32,073                           0.29%   8.62%   \n","113         91605           51,654                           1.46%   8.47%   \n","114         91606           43,552                           1.29%   3.95%   \n","115         91607           30,734                           0.36%   8.18%   \n","\n","    Black or African American Native Hawaiian & Other Pacific Islander  \\\n","0                       8.56%                                    0.15%   \n","1                       7.45%                                    0.02%   \n","2                      15.73%                                    0.10%   \n","3                      16.46%                                    0.00%   \n","4                       4.45%                                    0.12%   \n","..                        ...                                      ...   \n","111                     7.17%                                    0.45%   \n","112                     4.26%                                    0.00%   \n","113                     2.03%                                    0.04%   \n","114                     5.01%                                    0.00%   \n","115                     7.08%                                    0.10%   \n","\n","    White (Not Hispanic or Latino) Some Other Race Two or More Races  \\\n","0                           27.55%          24.54%            12.72%   \n","1                            0.65%          40.67%            20.88%   \n","2                            0.38%          39.43%            16.70%   \n","3                            0.47%          47.58%            17.51%   \n","4                           20.58%          31.12%             9.34%   \n","..                             ...             ...               ...   \n","111                         59.40%           7.15%            11.94%   \n","112                         69.01%           2.94%            11.05%   \n","113                         27.24%          27.84%            16.24%   \n","114                         33.76%          23.71%            14.95%   \n","115                         55.11%           9.44%            14.84%   \n","\n","    Hispanic or Latino  \n","0               47.11%  \n","1               91.31%  \n","2               82.41%  \n","3               81.55%  \n","4               46.59%  \n","..                 ...  \n","111             18.56%  \n","112             11.90%  \n","113             60.52%  \n","114             53.65%  \n","115             23.27%  \n","\n","[116 rows x 10 columns]"],"text/html":["\n","  <div 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<td>City of L.A.</td>\n","      <td>3,881,041</td>\n","      <td>1.05%</td>\n","      <td>11.82%</td>\n","      <td>8.56%</td>\n","      <td>0.15%</td>\n","      <td>27.55%</td>\n","      <td>24.54%</td>\n","      <td>12.72%</td>\n","      <td>47.11%</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>90001</td>\n","      <td>57,652</td>\n","      <td>2.13%</td>\n","      <td>0.60%</td>\n","      <td>7.45%</td>\n","      <td>0.02%</td>\n","      <td>0.65%</td>\n","      <td>40.67%</td>\n","      <td>20.88%</td>\n","      <td>91.31%</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90002</td>\n","      <td>53,108</td>\n","      <td>3.72%</td>\n","      <td>1.15%</td>\n","      <td>15.73%</td>\n","      <td>0.10%</td>\n","      <td>0.38%</td>\n","      <td>39.43%</td>\n","      <td>16.70%</td>\n","      <td>82.41%</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>90003</td>\n","      <td>75,024</td>\n","      <td>0.80%</td>\n","      <td>0.47%</td>\n","      <td>16.46%</td>\n","      <td>0.00%</td>\n","      <td>0.47%</td>\n","      <td>47.58%</td>\n","      <td>17.51%</td>\n","      <td>81.55%</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>90004</td>\n","      <td>58,833</td>\n","      <td>1.26%</td>\n","      <td>24.79%</td>\n","      <td>4.45%</td>\n","      <td>0.12%</td>\n","      <td>20.58%</td>\n","      <td>31.12%</td>\n","      <td>9.34%</td>\n","      <td>46.59%</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>111</th>\n","      <td>91602</td>\n","      <td>19,980</td>\n","      <td>0.42%</td>\n","      <td>9.60%</td>\n","      <td>7.17%</td>\n","      <td>0.45%</td>\n","      <td>59.40%</td>\n","      <td>7.15%</td>\n","      <td>11.94%</td>\n","      <td>18.56%</td>\n","    </tr>\n","    <tr>\n","      <th>112</th>\n","      <td>91604</td>\n","      <td>32,073</td>\n","      <td>0.29%</td>\n","      <td>8.62%</td>\n","      <td>4.26%</td>\n","      <td>0.00%</td>\n","      <td>69.01%</td>\n","      <td>2.94%</td>\n","      <td>11.05%</td>\n","      <td>11.90%</td>\n","    </tr>\n","    <tr>\n","      <th>113</th>\n","      <td>91605</td>\n","      <td>51,654</td>\n","      <td>1.46%</td>\n","      <td>8.47%</td>\n","      <td>2.03%</td>\n","      <td>0.04%</td>\n","      <td>27.24%</td>\n","      <td>27.84%</td>\n","      <td>16.24%</td>\n","      <td>60.52%</td>\n","    </tr>\n","    <tr>\n","      <th>114</th>\n","      <td>91606</td>\n","      <td>43,552</td>\n","      <td>1.29%</td>\n","      <td>3.95%</td>\n","      <td>5.01%</td>\n","      <td>0.00%</td>\n","      <td>33.76%</td>\n","      <td>23.71%</td>\n","      <td>14.95%</td>\n","      <td>53.65%</td>\n","    </tr>\n","    <tr>\n","      <th>115</th>\n","      <td>91607</td>\n","      <td>30,734</td>\n","      <td>0.36%</td>\n","      <td>8.18%</td>\n","      <td>7.08%</td>\n","      <td>0.10%</td>\n","      <td>55.11%</td>\n","      <td>9.44%</td>\n","      <td>14.84%</td>\n","      <td>23.27%</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>116 rows × 10 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ab0882d-1834-44db-850c-9ce21cb6bcd9')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 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Convert the cleaned columns to numeric types (optional, if needed)\n","df[columns_to_clean] = df[columns_to_clean].apply(pd.to_numeric)"],"metadata":{"id":"Qjb4YMhkrzNw","executionInfo":{"status":"ok","timestamp":1723434240934,"user_tz":420,"elapsed":187,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}}},"execution_count":19,"outputs":[]},{"cell_type":"code","source":["df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":510},"id":"InLVagF9r4nW","executionInfo":{"status":"ok","timestamp":1723434245517,"user_tz":420,"elapsed":369,"user":{"displayName":"Pranjali Seth","userId":"08726240231801336788"}},"outputId":"14368436-f543-4d3f-907c-dde79b9437cc"},"execution_count":20,"outputs":[{"output_type":"execute_result","data":{"text/plain":["         Zip Code Total Population  American Indian & Alaska Native  Asian  \\\n","0    City of L.A.        3,881,041                             1.05  11.82   \n","1           90001           57,652                             2.13   0.60   \n","2           90002           53,108                             3.72   1.15   \n","3           90003           75,024                             0.80   0.47   \n","4           90004           58,833                             1.26  24.79   \n","..            ...              ...                              ...    ...   \n","111         91602           19,980                             0.42   9.60   \n","112         91604           32,073                             0.29   8.62   \n","113         91605           51,654                             1.46   8.47   \n","114         91606           43,552                             1.29   3.95   \n","115         91607           30,734                             0.36   8.18   \n","\n","     Black or African American  Native Hawaiian & Other Pacific Islander  \\\n","0                         8.56                                      0.15   \n","1                         7.45                                      0.02   \n","2                        15.73                                      0.10   \n","3                        16.46                                      0.00   \n","4                         4.45                                      0.12   \n","..                         ...                                       ...   \n","111                       7.17                                      0.45   \n","112                       4.26                                      0.00   \n","113                       2.03                                      0.04   \n","114                       5.01                                      0.00   \n","115                       7.08                                      0.10   \n","\n","     White (Not Hispanic or Latino)  Some Other Race  Two or More Races  \\\n","0                             27.55            24.54              12.72   \n","1                              0.65            40.67              20.88   \n","2                      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index 0000000..4c40947
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