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Data Dictionary: ACS 2016 (5-Year Estimates)
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Data Source: Social Explorer; U.S. Census Bureau
Universe: Universe: Renter-Occupied Housing Units
Variable Details
A10039B. Monthly Housing Costs as a Percentage of Household Income in the Past 12 Months (Renter-Occupied Housing Units)
Universe: Universe: Renter-Occupied Housing Units
A10039B_006 $20,000 to $34,999:
Percent base:
Renter-Occupied Housing Units (SE:A10039B_001)
Aggregation method:
Addition
Formula used to compute this variable:
#ReturnType oretval = new #ReturnType(); oretval = ACS16_5yr:B25106029; return oretval;
Variables used in the formula:
ACS16_5yr:B25106029
Occupied Housing Units: Renter-Occupied Housing Units: $20,000 to $34,999
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; 2016 ACS 1-year and 2012-2016 ACS 5-year Data Releases: Technical Documentation.
  2016 ACS 1-year and 2012-2016 ACS 5-year Data Releases: Technical Documentation -> Appendix A: Supplemental Documentation -> 2014 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.