About this Dataset

Chicago Population Counts

Population totals for groupings commonly used in other datasets. Not all values are available for all years. Note that because the "Citywide" rows roll up the values from the individual ZIP Codes and the "Age 0-4," "Age 5-11," "Age 12-17," "Age 5+," "Age 18+," and "Age 65+" columns overlap other age categories, as well as each other in some cases, care should be taken in summing values to avoid accidental double-counting. The "Age 5-11" and "Age 12-17" columns only include children who live in households. Data Sources: U.S. Census Bureau American Community Survey (ACS) 5-year estimates (ZIP Code) and 1-year estimates (Citywide). The U.S. Census Bureau did not release standard 1-year estimates from the 2020 ACS. In 2020 only, 5-year estimates were used for the Citywide estimates.
Organization: City of Chicago
Last updated: 2020-11-10T16:54:32.296191
Tags: census, federal, link-to-article-present, population

Tables

Table 1

@usgov.city_of_chicago_chicago_population_counts.table_1

48.51 kB
235 rows
26 columns

CREATE TABLE table_1 (
  "geography_type" VARCHAR,
  "year" BIGINT,
  "geography" VARCHAR,
  "population_total" BIGINT  -- Population - Total,
  "population_age_0_17" BIGINT  -- Population - Age 0-17,
  "population_age_18_29" BIGINT  -- Population - Age 18-29,
  "population_age_30_39" BIGINT  -- Population - Age 30-39,
  "population_age_40_49" BIGINT  -- Population - Age 40-49,
  "population_age_50_59" BIGINT  -- Population - Age 50-59,
  "population_age_60_69" BIGINT  -- Population - Age 60-69,
  "population_age_70_79" BIGINT  -- Population - Age 70-79,
  "population_age_80" BIGINT  -- Population - Age 80+,
  "population_age_0_4" BIGINT  -- Population - Age 0-4,
  "population_age_5_11" DOUBLE  -- Population - Age 5-11,
  "population_age_12_17" DOUBLE  -- Population - Age 12-17,
  "population_age_5" BIGINT  -- Population - Age 5+,
  "population_age_18" BIGINT  -- Population - Age 18+,
  "population_age_65" BIGINT  -- Population - Age 65+,
  "population_female" BIGINT  -- Population - Female,
  "population_male" BIGINT  -- Population - Male,
  "population_latinx" BIGINT  -- Population - Latinx,
  "population_asian_non_latinx" DOUBLE  -- Population - Asian Non-Latinx,
  "population_black_non_latinx" DOUBLE  -- Population - Black Non-Latinx,
  "population_white_non_latinx" BIGINT  -- Population - White Non-Latinx,
  "population_other_race_non_latinx" DOUBLE  -- Population - Other Race Non-Latinx,
  "record_id" VARCHAR
);