Basic Demographics Age And Gender - Seattle Neighborhoods by US Government | Demographics and Population Studies

About this Dataset

Basic Demographics Age And Gender - Seattle Neighborhoods

Table from the American Community Survey (ACS) 5-year series on age and gender related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B01001 Sex by Age, B01002 Median Age by Sex. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

Table created for and used in the Neighborhood Profiles application.

Vintages : 2023

ACS Table(s) : B01001, B01002

Data downloaded from : Census Bureau's Explore Census Data

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The United States Census Bureau's American Community Survey (ACS):

This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

Data Note from the Census:

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estima
Organization: City of Seattle
Last updated: 2024-12-16T22:23:15.313366
Tags: acs, acs-bg, age, american-community-survey, census, census-block-groups, demographics, gender, gis, planning, seattle-gis-open-data

Tables

Table 1

@usgov.city_of_seattle_basic_demographics_age_and_gender_seat_11f14953.table_1

85.56 KB
92 rows
73 columns


CREATE TABLE table_1 (
  "objectid" BIGINT,
  "neighborhood_type" VARCHAR,
  "total" BIGINT,
  "male" BIGINT,
  "male_under_5_years" BIGINT,
  "male_5_to_9_years" BIGINT,
  "male_10_to_14_years" BIGINT,
  "male_15_to_17years" BIGINT,
  "male_18_and_19_years" BIGINT,
  "male_20_years" BIGINT,
  "male_21_years" BIGINT,
  "male_22_to_24_years" BIGINT,
  "male_25_to_29_years" BIGINT,
  "male_30_to_34_years" BIGINT,
  "male_35_to_39_years" BIGINT,
  "male_40_to_44_years" BIGINT,
  "male_45_to_49_years" BIGINT,
  "male_50_to_54_years" BIGINT,
  "male_55_to_59_years" BIGINT,
  "male_60_and_61_years" BIGINT,
  "male_62_to_64_years" BIGINT,
  "male_65_and_66_years" BIGINT,
  "male_67_to_69_years" BIGINT,
  "male_70_to_74_years" BIGINT,
  "male_75_to_79_years" BIGINT,
  "male_80_to_84_years" BIGINT,
  "male_85_years_and_over" BIGINT,
  "female" BIGINT,
  "female_under_5_years" BIGINT,
  "female_5_to_9_years" BIGINT,
  "female_10_to_14_years" BIGINT,
  "female_15_to_17_years" BIGINT,
  "female_18_and_19_years" BIGINT,
  "female_20_years" BIGINT,
  "female_21_years" BIGINT,
  "female_22_to_24_years" BIGINT,
  "female_25_to_29_years" BIGINT,
  "female_30_to_34_years" BIGINT,
  "female_35_to_39_years" BIGINT,
  "female_40_to_44_years" BIGINT,
  "female_45_to_49_years" BIGINT,
  "female_50_to_54_years" BIGINT,
  "female_55_to_59_years" BIGINT,
  "female_60_and_61_years" BIGINT,
  "female_62_to_64_years" BIGINT,
  "female_65_and_66_years" BIGINT,
  "female_67_to_69_years" BIGINT,
  "female_70_to_74_years" BIGINT,
  "female_75_to_79_years" BIGINT,
  "female_80_to_84_years" BIGINT,
  "female_85_years_and_over" BIGINT,
  "male_15_to_19_years" BIGINT,
  "male_20_to_24_years" BIGINT,
  "male_60_to_64_years" BIGINT,
  "male_65_to_69_years" BIGINT,
  "female_15_to_19_years" BIGINT,
  "female_20_to_24_years" BIGINT,
  "female_60_to_64_years" BIGINT,
  "female_65_to_69_years" BIGINT,
  "acs_vintage" VARCHAR,
  "neigh_no" DOUBLE,
  "neighborhood_subtype" VARCHAR,
  "neighborhood_name" VARCHAR,
  "children_under_18" BIGINT,
  "working_age_adults_18_64" BIGINT,
  "older_adults_65_over" BIGINT,
  "aggregate_age_total" DOUBLE,
  "aggregate_age_male" DOUBLE,
  "aggregate_age_female" DOUBLE,
  "median_age_total" DOUBLE,
  "median_age_male" DOUBLE,
  "median_age_female" DOUBLE,
  "neighborhood_type_outside_comp_plan_areas_id" VARCHAR
);