diff --git a/R/as-data-frame.R b/R/as-data-frame.R
index 8655e5595..37cc60c70 100644
--- a/R/as-data-frame.R
+++ b/R/as-data-frame.R
@@ -196,7 +196,7 @@ csvToDataFrame <- function(csv_df,
                 cp <- columnParser("categorical")
             }
             subvar_info <- parsing_info[!is.na(parsing_info$parent_alias) & parsing_info$parent_alias == alias(v), ]
-            cols <- csv_df[, subvar_info$qualified_alias]
+            cols <- csv_df[, subvar_info$qualified_alias, drop = FALSE]
             if (array_strategy == "alias"){
                 return(structure(lapply(cols, cp, v, categorical.mode), .Names = subvar_info$cond_qualified_alias))
             } else if (array_strategy == "qualified_alias") {
diff --git a/tests/testthat/test-as-data-frame.R b/tests/testthat/test-as-data-frame.R
index 56b78c5b3..b9019744b 100644
--- a/tests/testthat/test-as-data-frame.R
+++ b/tests/testthat/test-as-data-frame.R
@@ -222,6 +222,16 @@ with_mock_crunch({
         expect_equivalent(df_packed, expected_packed_df)
     })
 
+    test_that("csvToDataFrame handles 1 column subvariables", {
+        csv_df <- structure(list(`x[x1]` = 1:3, `x[x2_derived]` = 1:3, `y[y1]` = 1:3), class = "data.frame", row.names = c(NA, -3L))
+        expected <- data.frame(`x[x1]` = 1:3, `x2_derived` = 1:3, `y[y1]` = factor(letters[1:3], levels = letters[1:5]), check.names = FALSE)
+        col_info <- csvColInfo(ds_dup)
+
+        df_actual <- csvToDataFrame(csv_df, ds_dup, col_info[6:8, ])[c("x[x1]", "x2_derived", "y[y1]")]
+
+        expect_equal(df_actual, expected)
+    })
+
     test_that("as.data.frame when a variable has an apostrophe in its alias", {
         t2 <- forceVariableCatalog(ds)