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Data Dictionary: ACS 2023 (1-Year Estimates)
you are here: choose a survey survey data set table variable details
Data Source: Social Explorer; U.S. Census Bureau
Universe: Families
Variable Details
A13002. Poverty Status in 2021 of Families by Family Type by Presence of Children Under 18 Years
Universe: Families
A13002_003 Married Couple Family: with Related Child Living Below Poverty Level
Percent base:
Families: (SE:A13002_001)
Aggregation method:
Addition
Formula used to compute this variable:
Return_Value = ACS23:B17010004; if (ACS23:B17010004.IsNull) Return_Value.IsNull = true
Variables used in the formula:
ACS23:B17010004
Total: Income In The Past 12 Months Below Poverty Level: Married-Couple Family: With Related Children Of The Householder Under 18 Years
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; 2023 ACS 1-year and 2019-2023 ACS 5-year Data Releases : Technical Documentation.
  2023 ACS 1-year and 2019-2023 ACS 5-year Data Releases: Technical Documentation -> Subject Definitions -> Housing Variables -> Monthly Housing Costs as a Percentage of Household Income
Monthly Housing Costs as a Percentage of Household Income
The data for monthly housing costs as a percentage of household income are developed from a distribution of "Selected Monthly Owner Costs as a Percentage of Household Income" for owner-occupied and "Gross Rent as a Percentage of Household Income" for renter-occupied units. The owner-occupied categories are further separated into those with a mortgage and those without a mortgage. See sections on "Selected Monthly Owner Costs as a Percentage of Household Income" and "Gross Rent as a Percentage of Household Income" for more details on what characteristics are included in each measure and how these data are comparable to previous ACS and Census 2000 data.

Monthly housing costs as a percentage of household income provide information on the cost of monthly housing expenses for owners and renters. The information offers an excellent measure of housing affordability and excessive shelter costs. The data also serve to aid in the development of housing programs to meet the needs of people at different economic levels.