ArcGIS REST Services Directory Login
Home > services > Hosted > CCS_EJ_SJ_Data (FeatureServer) > Household Income Average by Census Tract Help | API Reference
JSON

Layer: Household Income Average by Census Tract (ID: 58)

View In:   ArcGIS Online Map Viewer

Name: Household Income Average by Census Tract

Display Field: name

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: A polygon layer representing 2022 mean income in the past 12 months with the American Community Survey S1902 Table "Mean Income in the Past 12 Months" 2022 data joined with each tract. Each column is named with the alias by data subject. All columns ending with the letter "E" are kept which are the estimated counts. All margin of error columns were removed. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the "https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html" Technical Documentation section of the ACS website. Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the "https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/" Methodology section.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.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 roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see "https://www.census.gov/programs-surveys/acs/technical-documentation.html" ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.Explanation of Symbols: The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself. The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. The estimate or margin of error is not applicable or not available. The median falls in the lowest interval of an open-ended distribution (for example "2,500-"). The median falls in the highest interval of an open-ended distribution (for example "250,000+"). The margin of error could not be computed because there were an insufficient number of sample observations. The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution. A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities.

Service Item Id: 22aaf2e337974faf8369d53ce09ae988

Copyright Text: Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates United States Census Bureau: https://data.census.gov/table/ACSST5Y2022.S1902?q=median%20household%20income&g=010XX00US$1400000

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports ValidateSQL: true

Supports Calculate: true

Extent:
Drawing Info: Advanced Query Capabilities:
HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field:

Fields: Templates:
Capabilities: Query

Sync Can Return Changes: true

Is Data Versioned: false

Supports Rollback On Failure: true

Supports ApplyEdits With Global Ids: false

Supports ApplyEdits By Upload Id: true

Supports Query With Historic Moment: false

Supports Coordinates Quantization: true

Supported Operations:   Query   Query Attachments   Calculate   Validate SQL   Generate Renderer   Return Updates   Metadata