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Age & Sex - ACS 2018-2022 - Tempe Tracts

City of Tempe

@usgov.city_of_tempe_age_sex_acs_2018_2022_tempe_tracts

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About this Dataset

Age & Sex - ACS 2018-2022 - Tempe Tracts

This layer shows age and sex demographics.

Data is from US Census American Community Survey (ACS) 5-year estimates.

This layer is symbolized to the percent of the population ages 18 to 24 years old. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the filter settings.

Layer includes:

Key demographics

  • Total population
  • Male total population
  • Female total population
  • Percent male total population (calculated)
  • Percent female total population (calculated)

Age and other indicators

  • Total population by AGE (various ranges)
  • Total population by SELECTED AGE CATEGORIES (various ranges)
  • Total population by SUMMARY INDICATORS (including median age, sex ratio, age dependency ratio, old age dependency ratio, child dependency ratio)
  • Percent total population by AGE (various ranges)
  • Percent total population by SELECTED AGE CATEGORIES (various ranges)

Male by age

  • Male total population by AGE (various ranges)
  • Male total population by SELECTED AGE CATEGORIES (various ranges)
  • Male total population Median age (years)
  • Percent male total population by AGE (various ranges)
  • Percent male total population by SELECTED AGE CATEGORIES (various ranges)

Female by age

  • Female total population by AGE (various ranges)
  • Female total population by SELECTED AGE CATEGORIES (various ranges)
  • Female total population Median age (years)
  • Percent female total population by AGE (various ranges)
  • Percent female total population by SELECTED AGE CATEGORIES (various ranges)

A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).

Current Vintage: 2018-2022
ACS Table(s): S0101 (Not all lines of this ACS table are available in this feature layer.)
Data downloaded from: Census Bureau's API for American Community Survey
Date of Census update: Dec 15, 2023
Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundary
National Figures: data.census.gov
Organization: City of Tempe
Last updated: 2024-02-09T15:07:30.456246
Tags: acs, age, age-ranges, american-community-survey, american-community-survey-acs-2018-2022-5-year-estimates, census, census-bureau, current-year, demographics, gender, people, policy, sex, tempe, tracts

Tables

Table 1

@usgov.city_of_tempe_age_sex_acs_2018_2022_tempe_tracts.table_1
  • 232.51 kB
  • 73 rows
  • 197 columns
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CREATE TABLE table_1 (
  "objectid" BIGINT,
  "namelsad" VARCHAR,
  "city" VARCHAR,
  "total_population" BIGINT,
  "male_total_population" BIGINT,
  "female_total_population" BIGINT,
  "percentage_male_total_pop_cal" DOUBLE,
  "percentage_female_total_pop_c" DOUBLE,
  "total_pop_age_under_5_years" BIGINT,
  "total_pop_age_5_to_9_years" BIGINT,
  "total_pop_age_10_to_14_years" BIGINT,
  "total_pop_age_15_to_19_years" BIGINT,
  "total_pop_age_20_to_24_years" BIGINT,
  "total_pop_age_25_to_29_years" BIGINT,
  "total_pop_age_30_to_34_years" BIGINT,
  "total_pop_age_35_to_39_years" BIGINT,
  "total_population_age_40_to_44_y" BIGINT,
  "total_population_age_45_to_49_y" BIGINT,
  "total_population_age_50_to_54_y" BIGINT,
  "total_population_age_55_to_59_y" BIGINT,
  "total_population_age_60_to_64_y" BIGINT,
  "total_population_age_65_to_69_y" BIGINT,
  "total_population_age_70_to_74_y" BIGINT,
  "total_population_age_75_to_79_y" BIGINT,
  "total_population_age_80_to_84_y" BIGINT,
  "total_population_age_85_years_a" BIGINT,
  "total_population_selected_age_c" BIGINT,
  "total_population_selected_age_1" BIGINT,
  "total_population_selected_age_2" BIGINT,
  "total_population_selected_age_3" BIGINT,
  "total_population_selected_age_4" BIGINT,
  "total_population_selected_age_5" BIGINT,
  "total_population_selected_age_6" BIGINT,
  "total_population_selected_age_7" BIGINT,
  "total_population_selected_age_8" BIGINT,
  "total_population_selected_age_9" BIGINT,
  "total_population_selected_ag_10" BIGINT,
  "total_population_selected_ag_11" BIGINT,
  "total_population_summary_indica" DOUBLE,
  "total_population_summary_indi_1" DOUBLE,
  "total_population_summary_indi_2" DOUBLE,
  "total_population_summary_indi_3" DOUBLE,
  "total_population_summary_indi_4" VARCHAR,
  "percent_total_population_age_un" DOUBLE,
  "percent_total_population_age_5" DOUBLE,
  "percent_total_population_age_10" DOUBLE,
  "percent_total_population_age_15" DOUBLE,
  "percent_total_population_age_20" DOUBLE,
  "percent_total_population_age_25" DOUBLE,
  "percent_total_population_age_30" DOUBLE,
  "percent_total_population_age_35" DOUBLE,
  "percent_total_population_age_40" DOUBLE,
  "percent_total_population_age_45" DOUBLE,
  "percent_total_population_age_50" DOUBLE,
  "percent_total_population_age_55" DOUBLE,
  "percent_total_population_age_60" DOUBLE,
  "percent_total_population_age_65" DOUBLE,
  "percent_total_population_age_70" DOUBLE,
  "percent_total_population_age_75" DOUBLE,
  "percent_total_population_age_80" DOUBLE,
  "percent_total_population_age_85" DOUBLE,
  "percenttotalpopselected5to14yrs" DOUBLE,
  "percent_total_population_select" DOUBLE,
  "percent_total_population_sele_1" DOUBLE,
  "percent_total_population_sele_2" DOUBLE,
  "percent_total_population_sele_3" DOUBLE,
  "percent_total_population_sele_4" DOUBLE,
  "percent_total_population_sele_5" DOUBLE,
  "percent_total_population_sele_6" DOUBLE,
  "percent_total_population_sele_7" DOUBLE,
  "percent_total_population_sele_8" DOUBLE,
  "percent_total_population_sele_9" DOUBLE,
  "percent_total_population_sel_10" DOUBLE,
  "male_total_population_age_under" BIGINT,
  "male_total_population_age_5_to" BIGINT,
  "male_total_population_age_10_to" BIGINT,
  "male_total_population_age_15_to" BIGINT,
  "male_total_population_age_20_to" BIGINT,
  "male_total_population_age_25_to" BIGINT,
  "male_total_population_age_30_to" BIGINT,
  "male_total_population_age_35_to" BIGINT,
  "male_total_population_age_40_to" BIGINT,
  "male_total_population_age_45_to" BIGINT,
  "male_total_population_age_50_to" BIGINT,
  "male_total_population_age_55_to" BIGINT,
  "male_total_population_age_60_to" BIGINT,
  "male_total_population_age_65_to" BIGINT,
  "male_total_population_age_70_to" BIGINT,
  "male_total_population_age_75_to" BIGINT,
  "male_total_population_age_80_to" BIGINT,
  "male_total_population_age_85_ye" BIGINT,
  "percentmaleselected5to14yrs" BIGINT,
  "male_total_population_selected" BIGINT,
  "male_total_population_selected1" BIGINT,
  "male_total_population_selecte_1" BIGINT,
  "male_total_population_selecte_2" BIGINT,
  "male_total_population_selecte_3" BIGINT,
  "male_total_population_selecte_4" BIGINT,
  "male_total_population_selecte_5" BIGINT,
  "male_total_population_selecte_6" BIGINT
);

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