Package: sdcensus
A simple wrapper for the United States Census Bureau’s API.Provides access to ACS and SF1 data sets.Installpip install censusYou may also want to install a complementary library,us, which help you figure out theFIPScodes for many geographies. We use it in the examples below.pip install usUsageFirst, get yourself aCensus API key.from census import Census
from us import states

c = Census("MY_API_KEY")
c.acs5.get(('NAME', 'B25034_010E'),
          {'for': 'state:{}'.format(states.MD.fips)})The call above will return the name of the geographic area and the number of
homes that were built before 1939 for the state of Maryland. Helper methods have
been created to simplify common geometry calls:c.acs5.state(('NAME', 'B25034_010E'), states.MD.fips)Full details on geometries and the states module can be found below.The get method is the core data access method on both the ACS and SF1 data sets.
The first parameter is either a single string column or a tuple of columns. The
second parameter is a geoemtry dict with aforkey and on optioninkey. Theforargument accepts a“*”wildcard character orCensus.ALL. The wildcard
is not valid for theinparameter.By default, the year for a dataset is the most recent year available. To access earlier data,
pass a year parameter to the API call:c.acs5.state(('NAME', 'B25034_010E'), states.MD.fips, year=2010)The default year may also be set client-wide:c = Census("MY_API_KEY", year=2010)Detailed information about the API can be found at theCensus Data API User Guide.DatasetsFor each dataset, the first year listed is the default.acs5:ACS 5 Year Estimates(2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009)acs3:ACS 3 Year Estimates(2013, 2012)acs1:ACS 1 Year Estimates(2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011)acs5dp:ACS 5 Year Estimates, Data Profiles(2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009)acs3dp:ACS 3 Year Estimates, Data Profiles(2013, 2012)acs1dp:ACS 1 Year Estimates, Data Profiles(2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011)acs5st:ACS 5 Year Estimates, Subject Tables(2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009)sf1:Census Summary File 1(2010)pl:Redistricting Data Summary File(2020, 2010, 2000)GeographiesThe API supports a wide range of geographic regions. The specification of these
can be quite complicated so a number of convenience methods are provided. Refer to theCensus API documentationfor more geographies beyond the convenience methods.Not all geographies are supported in all years. Calling a convenience method
with a year that is not supported will raise census.UnsupportedYearException.Geographic relationship filesare provided on the Census developer site as a tool to help users compare the geographies from the 1990, 2000 and 2010 Censuses. From these files, data users may determine how geographies from one Census relate to those from the prior Census.ACS5 Geographiesstate(fields, state_fips)state_county(fields, state_fips, county_fips)state_county_blockgroup(fields, state_fips, county_fips, blockgroup)state_county_subdivision(fields, state_fips, county_fips, subdiv_fips)state_county_tract(fields, state_fips, county_fips, tract)state_place(fields, state_fips, place)state_congressional_district(fields, state_fips, congressional_district)state_legislative_district_upper(fields, state_fips, legislative_district)state_legislative_district_lower(fields, state_fips, legislative_district)us(fields)state_zipcode(fields, state_fips, zip5)ACS1 Geographiesstate(fields, state_fips)state_congressional_district(fields, state_fips, district)us(fields)SF1 Geographiesstate(fields, state_fips)state_county(fields, state_fips, county_fips)state_county_subdivision(fields, state_fips, county_fips, subdiv_fips)state_county_tract(fields, state_fips, county_fips, tract)state_place(fields, state_fips, place)state_congressional_district(fields, state_fips, district)state_msa(fields, state_fips, msa)state_csa(fields, state_fips, csa)state_district_place(fields, state_fips, district, place)state_zipcode(fields, state_fips, zip5)PL Geographiesstate(fields, state_fips)state_county(fields, state_fips, county_fips)state_county_subdivision(fields, state_fips, county_fips, subdiv_fips)state_county_tract(fields, state_fips, county_fips, tract)state_county_blockgroup(fields, state_fips, county_fips, blockgroup)state_place(fields, state_fips, place)state_congressional_district(fields, state_fips, district)state_legislative_district_upper(fields, state_fips, legislative_district)state_legislative_district_lower(fields, state_fips, legislative_district)StatesThis package previously had acensus.statesmodule, but now uses theuspackage.>>> from us import states
>>> print states.MD.fips
u'24'Convert FIPS to state abbreviation usinglookup():>>> print states.lookup('24').abbr
u'MD'BYOS - Bring Your Own SessionIf you’d prefer to use a custom configured requests.Session, you can pass it
to the Census constructor:s = requests.session()
s.headers.update({'User-Agent': 'census-demo/0.0'})

c = Census("MY_API_KEY", session=s)You can also replace the session used by a specific data set:c.sf1.session = sExamplesThe geographic name for all census tracts for county 170 in Alaska:c.sf1.get('NAME', geo={'for': 'tract:*',
                       'in': 'state:{} county:170'.format(states.AK.fips)})The same call using thestate_county_tractconvenience method:c.sf1.state_county_tract('NAME', states.AK.fips, '170', Census.ALL)Total number of males age 5 - 9 for all states:c.acs5.get('B01001_004E', {'for': 'state:*'})The same call using the state convenience method:c.acs5.state('B01001_004E', Census.ALL)Don’t know the list of tables in a survey, try this:c.acs5.tables()