Guidelines for Developing and Presenting Estimates

  • David A. Swanson
  • Jeff Tayman
Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 31)


In assembling our guidelines, we examined ideas in the area of population estimation and also in two areas related to population estimation: (1) sample (statistical) surveys; and (2) population forecasting. In regard to the two related fields, we found ideas that can be applied directly as guidelines for developing and presenting estimates and others that can be easily adapted for this purpose. While, as this book attests, there are substantial areas of overlap among sample surveys, population forecasting, and population estimation, there are important distinctions. And these distinctions lead to different guidelines.


Census Bureau Sample Survey Population Estimate Decennial Census Population Forecast 
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  1. Espenshade, T. and J. Tayman. 1982. “Confidence Intervals for Post-censal State Population Estimates.” Demography 19: 191–210.CrossRefGoogle Scholar
  2. Habermann, H. 2006. “Research to Improve Population Estimates” Part of a presentation at the Spring (May 18th -19th ) 2006 meeting of the Census Advisory Committee for Professional Associations.Google Scholar
  3. Kitagawa, E. 1980. Estimating Population and Income of Small Areas. Washington, DC: National Academy Press.Google Scholar
  4. Pittenger, D. 1977. “Population Forecasting Standards: Some Considerations Concerning Their Necessity and Content.” Demography 14: 363–368.CrossRefGoogle Scholar
  5. Popoff, C., and D. Judson. 2004. “Some Methods of Estimation for Statistically Underdeveloped Areas.” pp. 603–641 in J. Siegel and D. A. Swanson (Eds.). The Methods and Materials of Demography, 2nd Edition. New York, NY: Elsevier Academic Press.Google Scholar
  6. Roe, L. J. Carlson, and D. A Swanson. 1992 “A Variation of the Housing Unit Method for Estimating the Population of Small, Rural Areas: A Case Study of the Local Expert Procedure.” Survey Methodology 18(1):155–163.Google Scholar
  7. Smith, S., J. Tayman, and D. A. Swanson. 2001. State and Local Population Projections: Methodology and Analysis. New York, NY: Kluwer Academic/Plenum PublishersGoogle Scholar
  8. Swanson, D. A. 2010. “The American Community Survey: Some Considerations Regarding its use as a Substitute for the Sample ‘Long Form’ in the Decennial US Census.” Paper presented at the Workshop on the American Community Survey, held at the annual Conference of the Latin American Population Studies Association (ALAP), Havana, Cuba, November 16th.Google Scholar
  9. Swanson, D. A. 2004. 2004 “Advancing Methodological Knowledge within State and Local Demography: A Case Study.” Population Research and Policy Review 23: 379–398.CrossRefGoogle Scholar
  10. Swanson, D. A. 1989 “Confidence Intervals for Post-censal Population Estimates: A Case Study for Local Areas.” Survey Methodology 15(2):271–280.Google Scholar
  11. Swanson, D. A., and J. Tayman 1995. “Between a Rock and a Hard Place: The Evaluation of Demographic Forecasts.” Population Research and Policy Review 14:233–249.CrossRefGoogle Scholar
  12. Swanson, D. A. and P. J. Walashek. 2011. CEMAF as a Census Method: A Proposal for a Re-designed Census and an Independent Census Bureau. Springer Briefs in Population Studies. Dordrecht, Heidelberg, London, and New York: Springer.Google Scholar
  13. Swanson, D. A., and T. Burch, and L. Tedrow. 1996. “What is Applied Demography?” Population Research and Policy Review 15:403–418.Google Scholar
  14. Swanson, D. A., D. Beck, and J. Tayman. 1995 “On the Utility of Lagged Ratio-Correlation as a Short-term County Population Estimation Method: A Case Study of Washington State.” Journal of Economic and Social Measurement 21:1–16.Google Scholar
  15. Swanson, D. A., A. Schlottmann, and R. Schmidt. 2010. “Forecasting the Population of Census Tracts by Age and Sex: An Example of the Hamilton-Perry Method in Action.” Population Research and Policy Review 29(1):47–63.CrossRefGoogle Scholar
  16. Swanson, D. A., G. Hough,. J. Rodriguez, and C. Clemans. 1998. “K-12 Enrollment Forecasting: Merging Methods and Judgment.” ERS Spectrum 16:24–31.Google Scholar
  17. Tayman, J. and E. Shafer. 1985. “The Impact of Coefficient Drift and Measurement Error on the Accuracy of Ratio-Correlation Population Estimates.” The Review of Regional Studies 15:13–23.Google Scholar
  18. US Census Bureau. 2010. Appendix A, Source Notes and Explanations, pp A1–A78 in State and Metropolitan Area Data Book: 2010. Washington, DC: US Census Bureau.(
  19. US Office of Management and Budget (OMB). 2006. Standards and Guidelines for Statistical Surveys. Washington, DC: U. S. Office of Management and Budget.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • David A. Swanson
    • 1
  • Jeff Tayman
    • 2
  1. 1.University of California RiversideRiversideUSA
  2. 2.Department of EconomicsUniversity of California San DiegoLa JollaUSA

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