diff --git a/datafusion/core/tests/physical_optimizer/projection_pushdown.rs b/datafusion/core/tests/physical_optimizer/projection_pushdown.rs
index 836758b21318..77c32f562355 100644
--- a/datafusion/core/tests/physical_optimizer/projection_pushdown.rs
+++ b/datafusion/core/tests/physical_optimizer/projection_pushdown.rs
@@ -1382,3 +1382,54 @@ fn test_union_after_projection() -> Result<()> {
 
     Ok(())
 }
+
+#[test]
+fn test_partition_col_projection_pushdown() -> Result<()> {
+    let file_schema = Arc::new(Schema::new(vec![
+        Field::new("int_col", DataType::Int32, true),
+        Field::new("string_col", DataType::Utf8, true),
+    ]));
+
+    let partitioned_schema = Arc::new(Schema::new(vec![
+        Field::new("int_col", DataType::Int32, true),
+        Field::new("string_col", DataType::Utf8, true),
+        Field::new("partition_col", DataType::Utf8, true),
+    ]));
+
+    let source = FileScanConfig::new(
+        ObjectStoreUrl::parse("test:///").unwrap(),
+        file_schema.clone(),
+        Arc::new(CsvSource::default()),
+    )
+    .with_file(PartitionedFile::new("x".to_string(), 100))
+    .with_table_partition_cols(vec![Field::new("partition_col", DataType::Utf8, true)])
+    .with_projection(Some(vec![0, 1, 2]))
+    .build();
+
+    let projection = Arc::new(ProjectionExec::try_new(
+        vec![
+            (
+                col("string_col", partitioned_schema.as_ref())?,
+                "string_col".to_string(),
+            ),
+            (
+                col("partition_col", partitioned_schema.as_ref())?,
+                "partition_col".to_string(),
+            ),
+            (
+                col("int_col", partitioned_schema.as_ref())?,
+                "int_col".to_string(),
+            ),
+        ],
+        source,
+    )?);
+
+    let after_optimize =
+        ProjectionPushdown::new().optimize(projection, &ConfigOptions::new())?;
+
+    let expected = ["ProjectionExec: expr=[string_col@1 as string_col, partition_col@2 as partition_col, int_col@0 as int_col]",
+        "  DataSourceExec: file_groups={1 group: [[x]]}, projection=[int_col, string_col, partition_col], file_type=csv, has_header=false"];
+    assert_eq!(get_plan_string(&after_optimize), expected);
+
+    Ok(())
+}
diff --git a/datafusion/datasource/src/file_scan_config.rs b/datafusion/datasource/src/file_scan_config.rs
index 79279b5c8231..bee74e042f22 100644
--- a/datafusion/datasource/src/file_scan_config.rs
+++ b/datafusion/datasource/src/file_scan_config.rs
@@ -266,22 +266,33 @@ impl DataSource for FileScanConfig {
     ) -> Result<Option<Arc<dyn ExecutionPlan>>> {
         // If there is any non-column or alias-carrier expression, Projection should not be removed.
         // This process can be moved into CsvExec, but it would be an overlap of their responsibility.
-        Ok(all_alias_free_columns(projection.expr()).then(|| {
-            let file_scan = self.clone();
-            let source = Arc::clone(&file_scan.file_source);
-            let new_projections = new_projections_for_columns(
-                projection,
-                &file_scan
-                    .projection
-                    .clone()
-                    .unwrap_or((0..self.file_schema.fields().len()).collect()),
-            );
-            file_scan
-                // Assign projected statistics to source
-                .with_projection(Some(new_projections))
-                .with_source(source)
-                .build() as _
-        }))
+
+        let partitioned_columns_in_proj = projection.expr().iter().any(|(expr, _)| {
+            expr.as_any()
+                .downcast_ref::<Column>()
+                .map(|expr| expr.index() >= self.file_schema.fields().len())
+                .unwrap_or(false)
+        });
+
+        Ok(
+            (all_alias_free_columns(projection.expr()) && !partitioned_columns_in_proj)
+                .then(|| {
+                    let file_scan = self.clone();
+                    let source = Arc::clone(&file_scan.file_source);
+                    let new_projections = new_projections_for_columns(
+                        projection,
+                        &file_scan
+                            .projection
+                            .clone()
+                            .unwrap_or((0..self.file_schema.fields().len()).collect()),
+                    );
+                    file_scan
+                        // Assign projected statistics to source
+                        .with_projection(Some(new_projections))
+                        .with_source(source)
+                        .build() as _
+                }),
+        )
     }
 }