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Methodology

Component ID: #ti1063249286

The AHS is a Housing Unit Survey

The AHS is a longitudinal housing unit survey that asks questions about the quality of housing in the United States. Returning to the same housing units every other year to gather data until a new sample of housing units is drawn, the AHS allows users the unique opportunity to analyze housing and household changes over time. In gathering information, Census Bureau interviewers visit or telephone the household occupying each housing unit in the sample. For unoccupied units, they obtain information from landlords, rental agents, or neighbors. The survey is redesigned from time to time to make sure it meets current needs and new topics are introduced for specific survey years.

The universe of interest for the AHS consists of the residential housing units in the United States that exist at the time the survey is conducted. The universe includes both occupied and vacant units but excludes group quarters, businesses, hotels, and motels. Geographically, the survey covers 50 states and the District of Columbia.

Survey Design

The AHS was designed to include two samples, the National sample and the independent Metropolitan area sample. From 1973 to 2005, the AHS was two surveys conducted independently of one another. The National survey was enumerated every other odd-numbered year, while the Metropolitan survey occurred in selected areas on a rotating basis. Starting in 2007, the National and Metropolitan surveys were conducted in the same time-period to reduce costs.

The 2015 American Housing Survey underwent a major redesign – a new sample was redrawn for the first time since 1985 and new households were asked to participate in the survey, the questionnaire was redesigned, variables were dropped, added, or modified, recodes and imputation methods were streamlined, and the weighting methodology changed.  As a result, tables were redesigned and some estimates became incomparable with previous years.

Geography

Starting in 2015, the AHS metro area definitions match the official OMB delineations. From 2015 onwards, AHS metros match CBSA definitions of that year by the same name.  For more information on 2017 metros, see <https://www.census.gov/programs-surveys/metro-micro.html>. For more on differences in metro area definitions from 1985 to 2013, see Metropolitan Area Histories and Geography, Public Use File: 1985- 2013.

Sample Selection and Size

Housing units participating in the AHS have been scientifically selected to represent all housing units in the United States. The same National sample of housing units is interviewed every two years until a new sample is selected (this includes the 15 largest metropolitan areas). A rotating sample of twenty other Metropolitan areas are in sample every four years, ten in each survey year. The U.S. Census Bureau updates the sample by adding newly constructed housing units.

Each housing unit in the AHS national sample is weighted and represents between 450 and 4000 other housing units in the United States. The weighting is designed to minimize sampling error and utilize independent estimates of occupied and vacant housing units. For information regarding the sample size and response rate, see Accuracy of the Data.


The 2017 AHS sample is comprised of 114,860 housing units; of which 34,392 represent the US and the nine Census divisions, 45,285 housing units represent the Top 15 metropolitan areas (an oversample where National plus the oversample is approximately 3,000 per metro area), 29,981 housing units represent 10 additional metropolitan areas (approximately 3,000 per metro area), and 5,202 housing units are part of a subsidized-renter oversample. From 2015 onward, the same Top 15 metropolitan areas will be oversampled in every survey cycle, as will an additional 10 metros (referred to as the ‘dynamic 10’).


As a result of the split-sample approach described in the Survey Design section above, three separate weights were developed for the 2017 AHS:

  • One weight is applicable to all characteristics except those pertaining to two of the four topical modules mentioned on the About page,
  • A second “split sample” weight is applicable to the commuting to work topical module,
  • A third “split sample” weight is applicable to the emergency and disaster preparedness topical module.
Sampling Errors

The data in this report are subject to error from sampling and other causes, such as incomplete data and wrong answers. For a complete description of the types of errors and provides formulas for constructing confidence intervals see Accuracy of the Data.

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