If the block_group
is not specified it will give results for B25121_047E
.
Here I did all Delaware counties and all states:
>>> import censusdata
>>> censusdata.download('acs5', 2015, censusdata.censusgeo([('state', '10'),('county', '*')]), ['B25121_047E', "B23025_005E"])
B25121_047E B23025_005E
Kent County, Delaware: Summary level: 050, stat... 5784 6904
New Castle County, Delaware: Summary level: 050... 15081 21525
Sussex County, Delaware: Summary level: 050, st... 9040 7794
>>> censusdata.download('acs5', 2015, censusdata.censusgeo([('state', '*')]), ['B25121_047E', "B23025_005E"])
B25121_047E B23025_005E
Alabama: Summary level: 040, state:01 181050 207097
Alaska: Summary level: 040, state:02 14505 31285
Arizona: Summary level: 040, state:04 209199 275712
Arkansas: Summary level: 040, state:05 115943 104943
California: Summary level: 040, state:06 693825 1891081
Colorado: Summary level: 040, state:08 148157 195578
Connecticut: Summary level: 040, state:09 82736 172292
Delaware: Summary level: 040, state:10 29905 36223
District of Columbia: Summary level: 040, state:11 7665 35811
Florida: Summary level: 040, state:12 677067 915976
Georgia: Summary level: 040, state:13 297953 468932
Hawaii: Summary level: 040, state:15 23824 42288
Idaho: Summary level: 040, state:16 63516 55312
Illinois: Summary level: 040, state:17 374479 608516
Indiana: Summary level: 040, state:18 257676 258739
Iowa: Summary level: 040, state:19 123291 81735
Kansas: Summary level: 040, state:20 100056 88454
Kentucky: Summary level: 040, state:21 166805 174308
Louisiana: Summary level: 040, state:22 147389 178150
Maine: Summary level: 040, state:23 55229 47497
Maryland: Summary level: 040, state:24 124810 238027
Massachusetts: Summary level: 040, state:25 138683 280164
Michigan: Summary level: 040, state:26 390617 477746
Minnesota: Summary level: 040, state:27 179958 167764
Mississippi: Summary level: 040, state:28 108716 138445
Missouri: Summary level: 040, state:29 229129 226528
Montana: Summary level: 040, state:30 39393 32361
Nebraska: Summary level: 040, state:31 64802 47602
Nevada: Summary level: 040, state:32 75295 148467
New Hampshire: Summary level: 040, state:33 38710 42733
New Jersey: Summary level: 040, state:34 178992 413343
New Mexico: Summary level: 040, state:35 70515 88924
New York: Summary level: 040, state:36 403577 829141
North Carolina: Summary level: 040, state:37 347429 453420
North Dakota: Summary level: 040, state:38 23343 11464
Ohio: Summary level: 040, state:39 425860 477251
Oklahoma: Summary level: 040, state:40 138556 115978
Oregon: Summary level: 040, state:41 122347 184016
Pennsylvania: Summary level: 040, state:42 440068 514993
Rhode Island: Summary level: 040, state:44 27377 48418
South Carolina: Summary level: 040, state:45 180518 217977
South Dakota: Summary level: 040, state:46 32399 20220
Tennessee: Summary level: 040, state:47 244213 266297
Texas: Summary level: 040, state:48 692935 912068
Utah: Summary level: 040, state:49 77832 81870
Vermont: Summary level: 040, state:50 24007 18957
Virginia: Summary level: 040, state:51 218012 276030
Washington: Summary level: 040, state:53 187142 277806
West Virginia: Summary level: 040, state:54 84408 63341
Wisconsin: Summary level: 040, state:55 205733 193763
Wyoming: Summary level: 040, state:56 18845 15002
Puerto Rico: Summary level: 040, state:72 118143 235772
>>>