Name: Income - ACS 2014-2018 - Tempe Tracts
Creator: US Government
License: http://www.opendefinition.org/licenses/cc-by

About this Dataset

Income - ACS 2014-2018 - Tempe Tracts

This feature layer provides the income for the City of Tempe by census tract. The feature layer was created using a join of Tempe Census Tract boundaries and ACSST5Y2018.S1901-2020-04 downloaded from the US Census Bureau.
Organization: City of Tempe
Last updated: 2024-02-09T15:05:46.607799
Tags: census

Tables

Table 1

@usgov.city_of_tempe_income_acs_2014_2018_tempe_tracts_20ac7.table_1

79.6 kB
37 rows
83 columns

CREATE TABLE table_1 (
  "objectid_1" BIGINT,
  "objectid" BIGINT,
  "statefp10" BIGINT,
  "countyfp10" BIGINT,
  "tractce10" BIGINT,
  "geoid10" BIGINT,
  "name10" DOUBLE,
  "namelsad10" VARCHAR,
  "mtfcc10" VARCHAR,
  "funcstat10" VARCHAR,
  "aland10" BIGINT,
  "awater10" BIGINT,
  "intptlat10" DOUBLE,
  "intptlon10" DOUBLE,
  "sumlev" BIGINT,
  "logrecno" BIGINT,
  "tract" BIGINT,
  "name" VARCHAR,
  "total_popu" BIGINT,
  "white" BIGINT,
  "black" BIGINT,
  "native" BIGINT,
  "asian" BIGINT,
  "pacific" BIGINT,
  "other" BIGINT,
  "two_or_mor" BIGINT,
  "hispanic" BIGINT,
  "white_non" BIGINT,
  "pop_18_ove" BIGINT,
  "total_hu" BIGINT,
  "occ_hu" BIGINT,
  "vac_hu" BIGINT,
  "sqmi" DOUBLE,
  "shape_leng" DOUBLE,
  "shape_area" DOUBLE  -- Shape, Area,
  "shape_length" DOUBLE  -- Shape, Length,
  "households_total_less_than_1000" DOUBLE,
  "families_total_less_than_10000" DOUBLE,
  "married_couple_families_total_l" DOUBLE,
  "nonfamily_households_total_less" DOUBLE,
  "households_total_10_000_to_149" DOUBLE  -- Households Total, 10–000 To 149,
  "families_total_10_000_to_14999" DOUBLE  -- Families Total, 10–000 To 14999,
  "married_couple_families_total_1" DOUBLE,
  "nonfamily_households_total_1000" DOUBLE,
  "households_total_15000_to_24999" DOUBLE,
  "families_total_15000_to_24999" DOUBLE,
  "married_couple_families_total_2" DOUBLE,
  "nonfamily_households_total_1500" DOUBLE,
  "households_total_25000_to_34999" DOUBLE,
  "families_total_25000_to_34999" DOUBLE,
  "married_couple_families_total_3" DOUBLE,
  "nonfamily_households_total_2500" DOUBLE,
  "households_total_35000_to_49999" DOUBLE,
  "families_total_35000_to_49999" DOUBLE,
  "married_couple_families_total_4" DOUBLE,
  "nonfamily_households_total_3500" DOUBLE,
  "households_total_50000_to_74999" DOUBLE,
  "families_total_50000_to_74999" DOUBLE,
  "married_couple_families_total_5" DOUBLE,
  "nonfamily_households_total_5000" DOUBLE,
  "households_total_75000_to_99999" DOUBLE,
  "families_total_75000_to_99999" DOUBLE,
  "married_couple_families_total_7" DOUBLE,
  "nonfamily_households_total_7500" DOUBLE,
  "households_total_100000_to_1499" DOUBLE,
  "families_total_100000_to_149999" DOUBLE,
  "married_couple_families_total_6" DOUBLE,
  "nonfamily_households_total_1001" DOUBLE,
  "households_total_150000_to_1999" DOUBLE,
  "families_total_150000_to_199999" DOUBLE,
  "married_couple_families_total_8" DOUBLE,
  "nonfamily_households_total_1501" DOUBLE,
  "households_total_200000_or_more" DOUBLE,
  "families_total_200000_or_more" DOUBLE,
  "married_couple_families_total_9" DOUBLE,
  "nonfamily_households_total_2000" DOUBLE,
  "households_median_income" BIGINT,
  "families_median_income" BIGINT,
  "married_couple_families_median" VARCHAR,
  "nonfamily_households_median_inc" BIGINT,
  "households_mean_income" BIGINT,
  "families_mean_income" BIGINT,
  "nonfamily_households_mean_incom" BIGINT
);