curated.census_tract_profile · Houston Open Data Explorer

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# curated.census_tract_profile
Census tracts (8 Houston-area counties) with ACS 2020-2024 demographics and geometry (1,598 rows; category: Boundaries & demographics; geometry column `geom` (MultiPolygon, EPSG:4326))
Notes: One row per tract (geoid 11 digits). Counts: pop_total, occupied_units (households), housing_units, poverty_below/poverty_universe. Fractions 0-1: pct_poverty, pct_renter, pct_no_vehicle, pct_limited_english, pct_uninsured, pct_65_plus, pct_hispanic, pct_black_nh, pct_white_nh, pct_asian_nh, pct_bachelors_plus, pct_no_internet, pct_unemployed. Medians: median_hh_income, median_gross_rent, median_home_value, median_year_built. Join to census_tract_svi and census_tract_health on geoid. Covers the whole region, not only the City of Houston: clip with explorer.boundary (city boundaries) when the question is about the city.

Fields (expression | type | filled/distinct in a sample | values or examples):
- tract_name | text | 1598/1595 | e.g.: Census Tract 9900; Census Tract 9800; Census Tract 3101.01
- land_km2 | double precision | 1598/1595 | e.g.: 0; 2.675691; 3.113402
- geoid | text | 1598/1598 | e.g.: 48157672401; 48201241104; 48167723900
- county | text | 1598/8 | values: Harris; Montgomery; Fort Bend; Galveston; Brazoria; Liberty; Waller; Chambers
- acs_vintage | integer | 1598/1 | values: 2024
- pop_total | double precision | 1598/1416 | e.g.: 0; 2216; 5252
- median_age | double precision | 1589/304 | e.g.: 35.5; 34.9; 39.4
- pop_under_18 | double precision | 1598/1130 | e.g.: 0; 1083; 643
- median_hh_income | double precision | 1576/1538 | e.g.: 250001; 61250; 50313
- per_capita_income | double precision | 1589/1574 | e.g.: 19289; 27524; 38966
- poverty_universe | double precision | 1598/1412 | e.g.: 0; 2216; 2048
- poverty_below | double precision | 1598/960 | e.g.: 0; 577; 274
- race_universe | double precision | 1598/1416 | e.g.: 0; 2216; 5252
- white_nh | double precision | 1598/1248 | e.g.: 0; 61; 1239
- black_nh | double precision | 1598/988 | e.g.: 0; 13; 24
- asian_nh | double precision | 1598/702 | e.g.: 0; 11; 25
- hispanic | double precision | 1598/1316 | e.g.: 0; 1021; 1760
- housing_units | double precision | 1598/1181 | e.g.: 0; 1207; 2116
- vacant_units | double precision | 1598/401 | e.g.: 0; 68; 63
- occupied_units | double precision | 1598/1143 | e.g.: 0; 968; 1481
- renter_occupied | double precision | 1598/991 | e.g.: 0; 122; 360
- median_gross_rent | double precision | 1499/951 | e.g.: 3501; 1188; 1403
- median_home_value | double precision | 1470/1233 | e.g.: 2000001; 259600; 342900
- median_year_built | double precision | 1578/76 | e.g.: 2004; 1979; 1988
- hh_vehicle_universe | double precision | 1598/1143 | e.g.: 0; 968; 1481
- hh_no_vehicle | double precision | 1598/353 | e.g.: 0; 8; 12
- hh_language_universe | double precision | 1598/1143 | e.g.: 0; 968; 1481
- hh_lep_spanish | double precision | 1598/402 | e.g.: 0; 13; 32
- hh_lep_other_indo_euro | double precision | 1598/88 | e.g.: 0; 14; 12
- hh_lep_asian_pacific | double precision | 1598/168 | e.g.: 0; 12; 18
- hh_lep_other | double precision | 1598/61 | e.g.: 0; 19; 9
- edu_universe_25plus | double precision | 1598/1347 | e.g.: 0; 2689; 1643
- edu_bachelors | double precision | 1598/967 | e.g.: 0; 124; 283
- edu_masters | double precision | 1598/650 | e.g.: 0; 69; 55
- edu_professional | double precision | 1598/308 | e.g.: 0; 14; 9
- edu_doctorate | double precision | 1598/259 | e.g.: 0; 17; 22
- labor_force_civilian | double precision | 1598/1288 | e.g.: 0; 2474; 1228
- unemployed | double precision | 1598/400 | e.g.: 0; 66; 101
- hh_internet_universe | double precision | 1598/1143 | e.g.: 0; 968; 1481
- hh_no_internet | double precision | 1598/311 | e.g.: 0; 15; 14
- health_ins_universe | double precision | 1598/1407 | e.g.: 0; 2216; 6673
- pop_65_plus | double precision | 1598/883 | e.g.: 0; 554; 644
- uninsured | double precision | 1598/1091 | e.g.: 0; 698; 200
- pct_poverty | double precision | 1586/1254 | e.g.: 0; 0.1205; 0.0444
- pct_black_nh | double precision | 1589/1234 | e.g.: 0; 0.0047; 0.0653
- pct_white_nh | double precision | 1589/1434 | e.g.: 0; 0.0197; 0.046
- pct_asian_nh | double precision | 1589/934 | e.g.: 0; 0.0204; 0.0024
- pct_hispanic | double precision | 1589/1451 | e.g.: 0.1134; 0.2313; 0.503
- pct_renter | double precision | 1586/1398 | e.g.: 1; 0; 0.2302
- pct_vacant | double precision | 1586/1028 | e.g.: 0; 0.0221; 0.0297
- pct_no_vehicle | double precision | 1586/926 | e.g.: 0; 0.0078; 0.0107
- pct_limited_english | double precision | 1586/1058 | e.g.: 0; 0.0398; 0.0254
- pct_bachelors_plus | double precision | 1589/1421 | e.g.: 0.2382; 0.7535; 0.3234
- pct_unemployed | double precision | 1588/948 | e.g.: 0; 0.0333; 0.0216
- pct_no_internet | double precision | 1586/889 | e.g.: 0; 0.006; 0.0048
- pct_uninsured | double precision | 1588/1325 | e.g.: 0.108; 0.0545; 0.0735
- pct_65_plus | double precision | 1589/1132 | e.g.: 0.1196; 0.1089; 0.1266
- pct_under_18 | double precision | 1589/1186 | e.g.: 0.2708; 0.3387; 0.2527
- pop_per_km2 | double precision | 1594/1590 | e.g.: 0; 1967.868949827022; 1779.5708741634714