population_2010blocks_2020nabes

2010 Minneapolis population by blocks, linked to their neighborhood. For details and ideas for queries, see this blog post, and for the column descriptions see this one for Washington, DC (they're the same).

Data license: CC BY-SA 4.0 · Data source: US Census & Minnesota Open Data Portal

4 rows where P005012 = 9

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Suggested facets: GEOID10, FID, BDNAME, BDNUM, TEXT_NBR, GEO_ID, NAME_x, P003001, P003002, P003003, P003004, P003005, P003006, P003007, P003008, P005001, P005002, P005003, P005004, P005005, P005006, P005007, P005009, P005010, P005011, P005014, P005016, P005017

P005012 ✖

Link rowid ▼ GEOID10 FID BDNAME BDNUM TEXT_NBR 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
3057 3057 270531088004009 41 Longfellow 61 61 1000000US270531088004009 Block 4009, Block Group 4, Census Tract 1088, Hennepin County, Minnesota 107 51 10 4 3 2 28 9 107 36 26 1 4 1 2 0 2 71 25 9 0 2 0 28 7
4615 4615 270530084002002 66 Central 54 54 1000000US270530084002002 Block 2002, Block Group 2, Census Tract 84, Hennepin County, Minnesota 124 34 14 5 0 0 52 19 124 31 20 5 5 0 0 0 1 93 14 9 0 0 0 52 18
8971 8971 270531088004009 41 Longfellow 61 61 1000000US270531088004009 Block 4009, Block Group 4, Census Tract 1088, Hennepin County, Minnesota 107 51 10 4 3 2 28 9 107 36 26 1 4 1 2 0 2 71 25 9 0 2 0 28 7
10529 10529 270530084002002 66 Central 54 54 1000000US270530084002002 Block 2002, Block Group 2, Census Tract 84, Hennepin County, Minnesota 124 34 14 5 0 0 52 19 124 31 20 5 5 0 0 0 1 93 14 9 0 0 0 52 18

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CREATE TABLE "population_2010blocks_2020nabes" (
"GEOID10" INTEGER,
  "FID" INTEGER,
  "BDNAME" TEXT,
  "BDNUM" INTEGER,
  "TEXT_NBR" 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
);