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The American Community Survey (ACS) Lisa Neidert NPC Workshop: Analyzing Poverty and Socioeconomic Trends Using the American Community Survey July 12 –

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Presentation on theme: "The American Community Survey (ACS) Lisa Neidert NPC Workshop: Analyzing Poverty and Socioeconomic Trends Using the American Community Survey July 12 –"— Presentation transcript:

1 The American Community Survey (ACS) Lisa Neidert NPC Workshop: Analyzing Poverty and Socioeconomic Trends Using the American Community Survey July 12 – July 15, 2010

2 What is the ACS?  A large, continuous survey Produces single and multiyear estimates of the characteristics of the population and housing Produces information for small areas including tracts, block groups and population subgroups Key component of the decennial census program

3 Origins of the ACS  More timely data  Operational reasons Steadier funding Year-round Interviewing  Skilled interviewers instead of temps  Strengthen Decennial Census Allow a short-form census Improved census geography  Updated address files

4 More timely data  Mariel Boat Lift  Natural disasters

5 More timely data...  Communities  Populations

6 BP Oil Disaster

7 Federal data response to disasters  Hurricane Katrina (Census Bureau, BLS) http://www.census.gov/acs/www/Products/Profiles/gulf_coast/ http://stats.bls.gov/katrina/cpscesquestions.htm  BP Oil Spill (BLS) http://www.bls.gov/cew/oil_gas_drilling.htm http://www.bls.gov/cew/gulf_coast_leisure_hospitality.htm

8 ACS Implementation  Demonstration Period 1996-2004

9 ACS Implementation  Full implementation: 2005* Every county nationwide Products released in 2006 Annual updated data products released every year thereafter * Did not include group quarters in 2005

10 Data Release Timetable

11 Sample Specifics  3,000,000 addresses 250,000 a month

12 ACS Operations: Mixed Mode

13 ACS Operations

14 Combination of Modes: October 2006 sample panel

15 Workloads and Costs by Mode

16 ACS is mandatory

17 Survey Response

18 Distribution of Interview Outcomes Variation in Selected States

19 Interpreting ACS data  Universe and Residence Rules  Time periods  Reference periods  Comparison Guidelines http://www.census.gov/acs/www/UseData/compAC S.htm http://www.census.gov/acs/www/UseData/compAC S.htm  ACS Compass Products ACS Compass Products Appendices

20 ACS Universe  Total resident population of the United States  Group Quarters population added to the sample in 2006  Example Ann Arbor, MI, 2006: 112,371 Ann Arbor, MI, 2005: 98,743 Ann Arbor, MI, 2000: 114,024

21 Residence Rules  Resident of the housing unit if: Lives there year round Lives there more than 2 months but not year round Is living there now with no other place to live Is away now for 2 months or less  Not a resident of the housing unit if: Lives there 2 months or less with another residence Is away now for more than 2 months

22 Reference Periods  ACS uses the interview data as the single reference point, or as the end of a reference period, for all data collection Interviewed in October 2006  Earnings reference period: October 1, 2005 – September 30, 2006

23 Data Products: Annual  Tabular Profiles Narrative Subject Geographic Comparison Ranking Detailed

24 Data Products Annual  Microdata 1%  ~1,300,000 housing records  ~3,000,000 person records  Microdata are a sample of the ACS respondents Approximately 65 of 100 Confidentiality measure

25 Data Products Multi-year  Combines 3 years worth of data, with a few modifications to the underlying data  Summary data GQ population is estimated for 2005 Geographic boundary changes reflected for all years  Microdata Re-weight Index income

26 Data Products: Multi-year  3-year: 2006 - 2008 Release dates: August 2009+  Multiyear Estimates Study 5-year; 3-year; 1-year For test communities only  34 counties http://www.census.gov/acs/www/AdvMeth/Multi_Year_Estim ates/overview.html#noteforusers

27 Microdata vs Tabular  Census Bureau website emphasizes tabular data via American FactFinder FTP is interface to microdata  Exceptions  Workshop Micro (65%) Tabular (35%)


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