diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_score.py b/data/data-pipeline/data_pipeline/etl/score/etl_score.py
index ff8c6aaf..3e442dbb 100644
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score.py
@@ -465,6 +465,7 @@ class ScoreETL(ExtractTransformLoad):
             ReversePercentile(
                 field_name=field_names.READING_FIELD,
                 low_field_name=field_names.LOW_READING_FIELD,
+<<<<<<< HEAD
             ),
             ReversePercentile(
                 field_name=field_names.MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD,
diff --git a/data/data-pipeline/data_pipeline/score/score_l.py b/data/data-pipeline/data_pipeline/score/score_l.py
index c24f43da..cdd47277 100644
--- a/data/data-pipeline/data_pipeline/score/score_l.py
+++ b/data/data-pipeline/data_pipeline/score/score_l.py
@@ -578,7 +578,7 @@ class ScoreL(Score):
             field_names.POVERTY_LOW_HS_EDUCATION_FIELD,
             field_names.LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD,
             field_names.MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD,
-            field_names.READING_LOW_HS_EDUCATION_FIELD,
+            field_names.LOW_READING_LOW_HS_EDUCATION_FIELD,
         ]
 
         high_scool_achievement_rate_threshold = (
@@ -618,9 +618,9 @@ class ScoreL(Score):
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )
 
-        reading_threshold = (
+        low_reading_threshold = (
             self.df[
-                field_names.READING_FIELD + field_names.PERCENTILE_FIELD_SUFFIX
+                field_names.LOW_READING_FIELD + field_names.PERCENTILE_FIELD_SUFFIX
             ]
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )