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Data Dictionary: ACS 2018 (1-Year Estimates)
you are here: choose a survey survey data set table variable details
Data Source: Social Explorer; U.S. Census Bureau
Universe: Owner-occupied housing units
Variable Details
A10037. Median Selected Monthly Owner Costs as a Percentage of Household Income in 2018 and Mortgage Status
Universe: Owner-occupied housing units
A10037_003 Housing Units Without a Mortgage
Percent base:
None - percentages not computed
Aggregation method:
Median, using bracket table: B25091, interpolation method: Pareto
Formula used to compute this variable:
Return_Value = ACS18:B25092003; if (ACS18:B25092003.IsNull) Return_Value.IsNull = true
Variables used in the formula:
ACS18:B25092003
Owner-Occupied Housing Units: Median Selected Monthly Owner Costs As A Percentage Of Household Income In The Past 12 Months -- Total: Housing Units Without A Mortgage
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; 2018 ACS 1-year and 2014-2018 ACS 5-year Data Releases : Technical Documentation.
  2018 ACS 1-year and 2014-2018 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.