chicago_2010blocks_2020policedistricts_population

2010 population by US Census block, with each block linked to the police district area in which it sits, as those districts were drawn in 2020. For details and column descriptions see this blog post.

Data license: CC BY-SA 4.0 · Data source: US Census & Chicago Open Data Portal, combined by John Keefe

4 rows where P003006 = 8

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Suggested facets: P003004, P005007, P005012, P005013, P005014, P005015, P005017

P003006 ✖

Link rowid ▼ GEOID10 dist_num GEO_ID NAME_x P003001 P003002 P003003 P003004 P003005 P003006 P003007 P003008 P005001 P005002 P005003 P005004 P005005 P005006 P005007 P005008 P005009 P005010 P005011 P005012 P005013 P005014 P005015 P005016 P005017
30447 30447 170311913013009 25 1000000US170311913013009 Block 3009, Block Group 3, Census Tract 1913.01, Cook County, Illinois 92 30 6 0 0 8 48 0 92 10 4 6 0 0 0 0 0 82 26 0 0 0 8 48 0
34651 34651 170314607003006 4 1000000US170314607003006 Block 3006, Block Group 3, Census Tract 4607, Cook County, Illinois 182 45 25 0 1 8 95 8 182 41 5 25 0 1 8 0 2 141 40 0 0 0 0 95 6
34834 34834 170312434001025 12 1000000US170312434001025 Block 1025, Block Group 1, Census Tract 2434, Cook County, Illinois 184 77 26 0 4 8 62 7 184 70 43 24 0 2 0 0 1 114 34 2 0 2 8 62 6
43772 43772 170311303004006 17 1000000US170311303004006 Block 4006, Block Group 4, Census Tract 1303, Cook County, Illinois 125 51 9 3 42 8 0 12 125 115 44 9 0 42 8 0 12 10 7 0 3 0 0 0 0

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CREATE TABLE "chicago_2010blocks_2020policedistricts_population" (
"GEOID10" INTEGER,
  "dist_num" INTEGER,
  "GEO_ID" TEXT,
  "NAME_x" TEXT,
  "P003001" INTEGER,
  "P003002" INTEGER,
  "P003003" INTEGER,
  "P003004" INTEGER,
  "P003005" INTEGER,
  "P003006" INTEGER,
  "P003007" INTEGER,
  "P003008" INTEGER,
  "P005001" INTEGER,
  "P005002" INTEGER,
  "P005003" INTEGER,
  "P005004" INTEGER,
  "P005005" INTEGER,
  "P005006" INTEGER,
  "P005007" INTEGER,
  "P005008" INTEGER,
  "P005009" INTEGER,
  "P005010" INTEGER,
  "P005011" INTEGER,
  "P005012" INTEGER,
  "P005013" INTEGER,
  "P005014" INTEGER,
  "P005015" INTEGER,
  "P005016" INTEGER,
  "P005017" INTEGER
);