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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: Vacant housing units
Variable Details
A10047. Vacancy Status by Type of Vacancy
Universe: Vacant housing units
A10047_004 Other Vacant
Percent base:
Vacant Housing Units: (SE:A10047_001)
Aggregation method:
Addition
Formula used to compute this variable:
Return_Value = ACS23:B25004003 + ACS23:B25004005 + ACS23:B25004006 + ACS23:B25004007 + ACS23:B25004008; if (ACS23:B25004003.IsNull || ACS23:B25004005.IsNull || ACS23:B25004006.IsNull || ACS23:B25004007.IsNull || ACS23:B25004008.IsNull) Return_Value.IsNull = true
Variables used in the formula:
ACS23:B25004003
Total: Rented Not Occupied
ACS23:B25004005
Total: Sold Not Occupied
ACS23:B25004006
Total: For Seasonal Recreational Or Occasional Use
ACS23:B25004007
Total: For Migrant Workers
ACS23:B25004008
Total: Other Vacant
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 -> Population Variables -> Income Type in the Past 12 Months -> Means of Household Income by Quintiles
Means of Household Income by Quintiles
Means of household income by quintiles are calculated by dividing aggregate household income in each quintile by the number of households in each quintile (one-fifth of the total number of households). (For more information on aggregates, see "Aggregate Income." For more information on quintiles, see "Derived Measures.")