Median Earnings for New York Counties (g22)

earnings.py

"""
earnings.py
Spring 2022 PJW

Collect median earnings by county for NYS and create a
geopackage file for use with QGIS.
"""

import requests
import pandas as pd
import geopandas
import seaborn as sns
import matplotlib.pyplot as plt

#
#  Name of the county shapefile
#

county_file = "cb_2019_us_county_500k_36.zip"

#
#  Set up the call to the Census API server. This version omits
#  the key to avoid publishing it on the web.
#

api = "https://api.census.gov/data/2018/acs/acs5"

var_string = 'NAME,B20002_001E'
for_clause = 'county:*'
in_clause = 'state:36'

payload = {
    'get':var_string,
    'for':for_clause,
    'in' :in_clause
    }

#
#  Get the data and build a dataframe from it
#

response = requests.get(api,payload)

assert response.status_code == 200

row_list = response.json()

colnames = row_list[0]
datarows = row_list[1:]

earnings = pd.DataFrame(columns=colnames,data=datarows)

#
#  Add the GEOID for joining to the county file. Also create a
#  column of median earnings in thousands of dollars.
#

earnings['GEOID'] = earnings['state']+earnings['county']
earnings['median'] = earnings['B20002_001E'].astype(float)/1000

earnings.to_csv('earnings.csv',index=False)

#%%
#
#  Plot the data
#

fig, ax1 = plt.subplots(dpi=300)
sns.histplot(data=earnings,x='median',stat='density',ax=ax1)
sns.kdeplot(data=earnings,x='median',ax=ax1,shade=True)
ax1.set_xlabel("Median Income in Thousands")
fig.tight_layout()
fig.savefig('earnings_hist.png')

#%%
#
#  Now trim down the dataframe to the key columns and merge it
#  onto the county polygons.
#

trim = earnings[['GEOID','median']]

geodata = geopandas.read_file(county_file)

geodata = geodata.merge(trim,
                        on='GEOID',
                        how='left',
                        validate='1:1',
                        indicator=True)

#
#  Check that the merge worked correctly
#

print( geodata['_merge'].value_counts() )
geodata.drop(columns='_merge',inplace=True)

#
#  Save the results as a layer in a geopackage
#

geodata.to_file("counties.gpkg",layer="earnings",index=False)
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Peter J Wilcoxen, The Maxwell School, Syracuse University
Revised 04/26/2022