About this Dataset

Age & Sex - ACS 2018-2022 - Tempe Zip Code

This layer shows age and sex demographics.

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

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).

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: December 15, 2023
Data Preparation: Data table downloaded and joined with Zip Code boundaries in the City of Tempe.
National Figures: data.census.gov
Organization: City of Tempe
Last updated: 2024-02-09T15:07:34.882323
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, zip-code

Tables

Table 1

@usgov.city_of_tempe_age_sex_acs_2018_2022_tempe_zip_code.table_1

176.3 kB
4 rows
200 columns

CREATE TABLE table_1 (
  "objectid" BIGINT,
  "zipcode" BIGINT,
  "total_population" BIGINT,
  "male_total_population" BIGINT,
  "female_total_population" BIGINT,
  "percent_male_total_population" DOUBLE  -- Percent Male Total Population,,
  "percent_female_total_population" DOUBLE,
  "total_population_age_under_5_ye" BIGINT,
  "total_population_age_5_to_9_yea" BIGINT,
  "total_population_age_10_to_14_y" BIGINT,
  "total_population_age_15_to_19_y" BIGINT,
  "total_population_age_20_to_24_y" BIGINT,
  "total_population_age_25_to_29_y" BIGINT,
  "total_population_age_30_to_34_y" BIGINT,
  "total_population_age_35_to_39_y" 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" DOUBLE,
  "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,
  "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,
  "percent_total_population_sel_11" DOUBLE,
  "percent_total_population_percen" DOUBLE,
  "percent_total_population_perc_1" 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,
  "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
);