30 census data

Uncomment the following line to install leafmap if needed.

In [1]:

# !pip install leafmap

# !pip install leafmap

In [2]:

import leafmap

import leafmap

Get the Census data WMS tiles as a dictionary. More info can be found at https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_wms.html

In [3]:

census_data_dict = leafmap.get_census_dict()

census_data_dict = leafmap.get_census_dict()

Print out the list of US Census WMS.

In [4]:

for key in census_data_dict:
    print(key)

for key in census_data_dict: print(key)

Current
ACS 2021
ACS 2019
ACS 2018
ACS 2017
ACS 2016
ACS 2015
ACS 2014
ACS 2013
ACS 2012
ECON 2012
Census 2020
Census 2010
Physical Features
Decennial Census 2020
Decennial Census 2010
Decennial Census 2000
Decennial Physical Features

Get the list of layers for a WMS.

In [5]:

census_data_dict['Census 2020']['layers']

census_data_dict['Census 2020']['layers']

Out[5]:

['Alaska_Native_Regional_Corporations10465',
 'Alaska_Native_Regional_Corporations_Labels60868',
 'Alaska_Native_Village_Statistical_Areas34178',
 'Alaska_Native_Village_Statistical_Areas_Labels14319',
 'American_Indian_Joint-Use_Areas11842',
 'American_Indian_Joint-Use_Areas_Labels32943',
 'Census_Block_Groups59805',
 'Census_Block_Groups_Labels32376',
 'Census_Blocks1978',
 'Census_Blocks_Labels63431',
 'Census_Designated_Places65166',
 'Census_Designated_Places_Labels61459',
 'Census_Divisions8578',
 'Census_Divisions_Labels29679',
 'Census_Regions16659',
 'Census_Regions_Labels31526',
 'Census_Tracts7651',
 'Census_Tracts_Labels33558',
 'Combined_New_England_City_and_Town_Areas35117',
 'Combined_New_England_City_and_Town_Areas_Labels20328',
 'Combined_Statistical_Areas61231',
 'Combined_Statistical_Areas_Labels52090',
 'Consolidated_Cities65047',
 'Consolidated_Cities_Labels30018',
 'Counties',
 'Counties_Labels19364',
 'County_Subdivisions63689',
 'County_Subdivisions_Labels25452',
 'Elementary_School_Districts36200',
 'Elementary_School_Districts_Labels21637',
 'Estates',
 'Estates_Labels15809',
 'Federal_American_Indian_Reservations63680',
 'Federal_American_Indian_Reservations_Labels65437',
 'Hawaiian_Home_Lands45702',
 'Hawaiian_Home_Lands_Labels15115',
 'Incorporated_Places1469',
 'Incorporated_Places_Labels58904',
 'Metropolitan_Divisions40847',
 'Metropolitan_Divisions_Labels25946',
 'Metropolitan_New_England_City_and_Town_Areas62616',
 'Metropolitan_New_England_City_and_Town_Areas_Labels59733',
 'Metropolitan_Statistical_Areas62762',
 'Metropolitan_Statistical_Areas_Labels6295',
 'Micropolitan_New_England_City_and_Town_Areas31587',
 'Micropolitan_New_England_City_and_Town_Areas_Labels33942',
 'Micropolitan_Statistical_Areas31521',
 'Micropolitan_Statistical_Areas_Labels772',
 'New_England_City_and_Town_Area_Divisions60153',
 'New_England_City_and_Town_Area__Divisions_Labels46148',
 'Off-Reservation_Trust_Lands54343',
 'Off-Reservation_Trust_Lands_Labels18066',
 'Oklahoma_Tribal_Statistical_Areas50120',
 'Oklahoma_Tribal_Statistical_Areas_Labels48357',
 'Secondary_School_Districts43718',
 'Secondary_School_Districts_Labels36427',
 'State_American_Indian_Reservations3874',
 'State_American_Indian_Reservations_Labels35471',
 'State_Designated_Tribal_Statistical_Areas1347',
 'State_Designated_Tribal_Statistical_Areas_Labels45558',
 'States',
 'States_Labels49388',
 'Subbarrios',
 'Subbarrios_Labels47498',
 'Tribal_Block_Groups26640',
 'Tribal_Block_Groups_Labels32973',
 'Tribal_Census_Tracts2987',
 'Tribal_Census_Tracts_Labels1374',
 'Tribal_Designated_Statistical_Areas45836',
 'Tribal_Designated_Statistical_Areas_Labels6465',
 'Tribal_Subdivisions42483',
 'Tribal_Subdivisions_Labels35078',
 'Unified_School_Districts15496',
 'Unified_School_Districts_Labels28837',
 'Urban_Growth_Areas59666',
 'Urban_Growth_Areas_Labels47199',
 'Voting_Districts56637',
 'Voting_Districts_Labels20888',
 'Zip_Code_Tabulation_Areas4692',
 'Zip_Code_Tabulation_Areas_Labels47657',
 '_018_State_Legislative_Districts_-_Lower20349',
 '_018_State_Legislative_Districts_-_Lower_Labels7384',
 '_018_State_Legislative_Districts_-_Upper25708',
 '_018_State_Legislative_Districts_-_Upper_Labels34849',
 '_16th_Congressional_Districts4189',
 '_16th_Congressional_Districts_Labels3128']

Create an interactive map and add Census data layer to it. You might need to zoom in to see the data layer

In [6]:

m = leafmap.Map()
m.add_census_data(wms="Census 2020", layer="States")
m.add_census_data(wms="Census 2020", layer="States_Labels49388")
m

m = leafmap.Map() m.add_census_data(wms="Census 2020", layer="States") m.add_census_data(wms="Census 2020", layer="States_Labels49388") m

Out[6]:

Make this Notebook Trusted to load map: File -> Trust Notebook

Alternatively, you can use the toolbar to load Census data interactively without coding.

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Last update: 2022-03-14