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 P005007 = 4

View and edit SQL

Suggested facets: GEOID10, FID, BDNAME, BDNUM, TEXT_NBR, GEO_ID, NAME_x, P003001, P003003, P003005, P003007, P003008, P005001, P005002, P005003, P005004, P005005, P005006, P005008, P005009, P005010, P005011, P005013, P005016, P005017

P005007

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
894 270531115004013 14 Windom 68 68 1000000US270531115004013 Block 4013, Block Group 4, Census Tract 1115, Hennepin County, Minnesota 265 246 13 1 0 4 0 1 265 264 245 13 1 0 4 0 1 1 1 0 0 0 0 0 0
5898 270530082002003 87 Lyndale 53 53 1000000US270530082002003 Block 2003, Block Group 2, Census Tract 82, Hennepin County, Minnesota 100 63 10 1 5 4 10 7 100 88 63 10 0 5 4 1 5 12 0 0 1 0 0 9 2
6808 270531115004013 14 Windom 68 68 1000000US270531115004013 Block 4013, Block Group 4, Census Tract 1115, Hennepin County, Minnesota 265 246 13 1 0 4 0 1 265 264 245 13 1 0 4 0 1 1 1 0 0 0 0 0 0
11812 270530082002003 87 Lyndale 53 53 1000000US270530082002003 Block 2003, Block Group 2, Census Tract 82, Hennepin County, Minnesota 100 63 10 1 5 4 10 7 100 88 63 10 0 5 4 1 5 12 0 0 1 0 0 9 2

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

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
);