diff --git a/clean_data.py b/clean_data.py
index 940d808..90f89d9 100644
--- a/clean_data.py
+++ b/clean_data.py
@@ -178,12 +178,14 @@ def clean_rankings_csv():
     df = df.drop()
 
 def clean_median_income():
-    filepath = "Resources/merge3.csv"
-    median_df = pd.read_csv(filepath)
-    median_df = median_df.drop(['country','cities','state','latitude','longitude','Zip_Code','ALand','AWater','city'], axis=1)
-    print(median_df.head())
-    median_df = median_df.rename(columns={"Mean": "mean", "Median": "median", "Stdev": "std_dev"}, errors="raise")
-    median_df.to_csv("Resources/median_income_db.csv",index=False)
+    df1 = pd.read_csv("Resources/merge3.csv")
+    df4 = pd.read_csv("Resources/cities_indices_db.csv")
+    for i in ['Median','Mean','Stdev','sum_w']:
+        df4[i] = df4['city_id'].map(dict(zip(df1['city_id'],df1[i])))
+    df4.dropna(subset=['Median'])
+    df4 = df4.rename(columns={"Mean": "mean", "Median": "median", "Stdev": "std_dev"}, errors="raise")
+    df4.to_csv("Resources/us_income_qol_db.csv")
+
 
 def rearrange_columns_for_db():
     filepath = "Resources/clean_us_cities.csv"
diff --git a/static/css/signup.css b/static/css/signup.css
index e69f732..38edb10 100644
--- a/static/css/signup.css
+++ b/static/css/signup.css
@@ -20,4 +20,3 @@ height: 100%;
 h1 {
   text-align: center;
 }
-}
\ No newline at end of file