Skip to main content
SpringerLink
Log in

Basic Measures

  • Chapter
  • First Online:
Subnational Population Estimates

Part of the book series: The Springer Series on Demographic Methods and Population Analysis ((PSDE,volume 31))

  • 1222 Accesses

Abstract

Demographic analysis and population estimation requires the use of quantitative measures and graphical techniques. This chapter discusses commonly used measures in demography, geography, and statistics (e.g., Barber 1988: Chapter 3; Freedman, Pisani, and Purves 2007; Siegel and Swanson 2004; Smith, Tayman, and Swanson 2001: Chapter 2). We also present graphical techniques for presenting and analyzing tabular and spatial data (e.g., Jacoby 1997, 1998; Krygier and Wood 2011; Tufte 1990, 1997, 2001; Tyner, 2010).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Andresen, M. A. (2007). Location quotients, ambient populations, and the spatial analysis of crime in Vancouver, Canada. Environment and Planning A, 39, 2423–2444.

    Article  Google Scholar 

  • Barber, G. M. (1988). Elementary statistics for geographers. New York: The Guilford Press.

    Google Scholar 

  • Belsley, D., A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. New York: John Wiley & Sons.

    Google Scholar 

  • Blalock, H. M. (1972). Social statistics, Second Edition. New York: McGraw Hill.

    Google Scholar 

  • Bogue, D. J., Hinze, K. E., & White, M. J. (1982). Techniques for estimating net migration. Chicago: University of Chicago Press.

    Google Scholar 

  • Nielsen Solution Center. (2010). Pop-Facts: Demographic snapshot report. (http://www.claritas.com/samples/sitereports/demographic_snapshot_10.pdf).

  • Chambers, J. M., Cleveland, W. S., Tukey, P. A., & Kleiner, B. (1983). Graphical methods for data analysis. Pacific Grove: Wadsworth and Brooks/Cole.

    Google Scholar 

  • Chatterjee, S., & Hadi, A. S. (1998). Sensitivity analysis in linear regression. New York: John Wiley.

    Google Scholar 

  • D'Agostino, R. B., Belanger, A., & D'Agostino, R. B., Jr. (1990). A suggestion for using powerful and informative tests of normality. The American Statistician, 44(3), 316–321.

    Google Scholar 

  • Dharmalingam, A. (2004). Reproductivity. In J. S. Siegel, & D. A. Swanson (Eds.), The methods and materials of demography (pp. 429–454). New York: Elsevier Academic Press.

    Google Scholar 

  • Draper, N., & Smith, H. (1981). Applied regression analysis, second edition. New York: John Wiley & Sons.

    Google Scholar 

  • Duncan, O. D., Cuzzort, R. P., & Duncan, B. (1961). Statistical geography: Problems in analyzing areal data. Glencoe: Free Press.

    Google Scholar 

  • El-Geneidy, A. M., & Levinson, D. M. (2006). Access to destinations: Development of accessibility measures. St. Paul: Minnesota Department of Transportation.

    Google Scholar 

  • Emerson, J. D., & Hoaglin, D. C. (1983). Stem-and-Leaf Displays. In D. C. Hoaglin, F. Mosteller & J. W. Tukey (Eds.), Understanding robust and exploratory data analysis (pp. 1–32). New York: John Wiley & Sons.

    Google Scholar 

  • Emerson, J. D., & Strenio, J. (1983). Boxplots and Batch Comparisons. In D. C. Hoaglin, F. Mosteller & J. Tukey, W. (Eds.), Understanding robust and exploratory data analysis (pp. 58–96). New York: John Wiley & Sons.

    Google Scholar 

  • Estee, S. (2004). Natality-Measures based on vital statistics. In J. S. Siegel, & D. A. Swanson (Eds.), The Methods and Materials of Demography, Second Edition (pp. 371–406). New York: Elsevier.

    Google Scholar 

  • Fonseca, L., & Tayman, J. (1989). Post-censal estimates of household income distributions. Demography, 26(1), 149–159.

    Article  Google Scholar 

  • Freedman, D., Pisani, R., & Purves, R. (2007). Statistics 4th edition. New York: W. W. Norton and Company.

    Google Scholar 

  • Friendly, M. (1991). SAS systems for statistical graphics. Cary: SAS Institute.

    Google Scholar 

  • Gibbons, J. D., & Chakraborti, S. (2011). Nonparametric statistical inference, Fifth Edition. Boca Raton: Chapman & Hall/CRC.

    Google Scholar 

  • Gnanadesikan, R. (1997). Methods for statistical analysis of multivariate observations, 2nd Edition. New York: John Wiley & Sons.

    Google Scholar 

  • Goodall, C. (1990). A survey of smoothing techniques. In J. Fox & J. S. Long (Eds.), Modern Methods in Data Analysis (pp. 126–176). Newbury Park: Sage Publications.

    Google Scholar 

  • Greenacre, M. (2010). Bi-plots in practice. Bilbao: BBVA Foundation.

    Google Scholar 

  • Guers, K. T., & van Wee, B. (2004). Accessibility evaluation of land use and transport strategies: Review and research directions. Journal of Transport Geography, 12(2), 127–140.

    Article  Google Scholar 

  • Hahn, G. J., & Meeker, W. Q. (1991). Statistical intervals: A guide for practitioners. New York: John Wiley & Sons.

    Google Scholar 

  • Handy, S. L., & Niemeier, D. A. (1997). Measuring accessibility: An exploration of issues and alternatives. Environment and Planning A, 29(7), 1175–1194.

    Article  Google Scholar 

  • Hansen, W. G. (1959). How accessibility affects land use. Journal of the American Institute of planners, 25, 72–77.

    Article  Google Scholar 

  • Haynes, K. E., & Fotheringham, A. S. (1984). Gravity and spatial interaction models. Beverly Hills: Sage Publications.

    Google Scholar 

  • Irwin, R. B. (1977). Guide for local area population projections. Washington, DC: US Bureau of the Census.

    Google Scholar 

  • Jacoby, W. G. (1997). Statistical graphics for bivariate and univariate data. Thousand Oaks: Sage Publications.

    Google Scholar 

  • Jacoby, W. G. (1998). Statistical graphics for visualization of multivariate data. Thousand Oaks: Sage Publications.

    Google Scholar 

  • Kennedy, P. (1992). A guide to econometrics. Oxford: Blackwell.

    Google Scholar 

  • Keyfitz, N. (1977). Applied mathematical demography. New York: John Wiley & Sons.

    Google Scholar 

  • Kintner, H. J. (2004). The life table. In J. S. Siegel, & D. A. Swanson (Eds.), The Methods and Materials of Demography, Second Edition (pp. 301–340). New York: Elsevier Academic Press.

    Google Scholar 

  • Koenig, J. G. (1980). Indicators of urban accessibility: Theory and application. Transportation, 9, 145–172.

    Article  Google Scholar 

  • Krygier, J., & Wood, D. (2011). Making maps: A visual guide to map design for GIS, Second Edition. New York: The Guilford Press.

    Google Scholar 

  • Leigh, R. (1970). The use of location quotients in urban base studies. Land Economics, 46(2), 202–205.

    Article  Google Scholar 

  • Levin, R. I., & Rubin, D. S. (1998). Statistics for management, Seventh Edition. Englewood Cliffs; Prentice Hall.

    Google Scholar 

  • Long, L. H. (1988). Migration and residential mobility in the United States. New York: Russell Sage Foundation.

    Google Scholar 

  • Lowry, I. S. (1964). A model of metropolis. Santa Monica: The Rand Corporation.

    Google Scholar 

  • MacEachren, A. M. (1994). How maps work. New York: The Guilford Press.

    Google Scholar 

  • Marquardt, D. W. (1970). Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation. Technometrics, 12, 591–612.

    Article  Google Scholar 

  • Massey, D. S., & Denton, N. A. (1998). The elusive quest for the perfect index of concentration: Reply to Egan, Anderton, and Weber. Social Forces, 76(3), 1123.

    Google Scholar 

  • Massey, D. S., & Denton, N. A. (1988). The dimensions of residential segregation. Social Forces, 67, 281–315.

    Google Scholar 

  • McGehee, M. (2004). Mortality. In J. S. Siegel, & D. A. Swanson (Eds.), The Methods and Materials of Demography, Second Edition (pp. 265–300). New York: Elsevier Academic Press.

    Google Scholar 

  • McKibben, J. N., & Faust, K. A. (2004). Population distribution: Classification of residence In J. S. Siegel, & D. A. Swanson (Eds.), The Methods and Materials of Demography, Second Edition (pp. 105–123). New York: Elsevier Academic Press.

    Google Scholar 

  • Meuser, P. R., & White, M. J. (1989). Explaining the association between rates of in-migration and out-migration. Papers of the Regional Science Association, 67, 121–134.

    Article  Google Scholar 

  • Mitchell, M. N. (2008). A visual guide to Stata graphics, 2nd Edition. College Station: Stata Press.

    Google Scholar 

  • Monette, G. (1990). Geometry of multiple regression and interactive 3-D graphics. In J. Fox & J. S. Long (Eds.), Modern Methods in Data Analysis (pp. 209–256). Newbury Park: Sage.

    Google Scholar 

  • Morrison, P. A., Bryan, T. M., & Swanson, D. A. (2004). Internal migration and short-distance mobility. In J. S. Siegel, & D. A. Swanson (Eds.), The Methods and Materials of Demography, Second Edition (pp. 493–522). New York: Elsevier Academic Press.

    Google Scholar 

  • Namboodiri, K., & Suchindran, C. M. (1987). Life table techniques and their applications. Orlando: Academic Press.

    Google Scholar 

  • Neter, J., Wasserman, W., & Kutner, M. H. (1989). Applied linear regression models. Homewood: Irwin.

    Google Scholar 

  • O'Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity (41), 673–690.

    Article  Google Scholar 

  • Pittenger, D. B. (1976). Projecting state and local populations. Cambridge, MA: Ballinger Publishing Company.

    Google Scholar 

  • Plane, D. A. (2004).Population distribution–Geographic In J. S. Siegel, & D. A. Swanson (Eds.), The Methods and Materials of Demography, Second Edition (pp. 105–120). New York: Elsevier Academic Press.

    Google Scholar 

  • Pullum, T. J. (2004). Natality- Measures based on censuses and surveys. In J. S. Siegel, & D. A. Swanson (Eds.), The Methods and Materials of Demography, Second Edition (pp. 407–428). New York: Elsevier Academic Press.

    Google Scholar 

  • Putman, S. H. (1983). Integrated urban models. London: Piton Limited.

    Google Scholar 

  • Putman, S. H. (1991). Integrated urban models: II. London: Pion Limited.

    Google Scholar 

  • Reidpath, D. D., & Allotey, P. A. (2003). Infant mortality rate as an indicator of population health. Journal of Epidemiology and Community Health, 57(5), 344–346.

    Article  Google Scholar 

  • Rodrigue, J. P., Comtois, C., & Brian, S. (2009). The geography of transport systems. New York: Routledge.

    Google Scholar 

  • Schmid, C. F. (1983). Statistical graphics: Design principles and practices. New York: John Wiley & Sons.

    Google Scholar 

  • Siegel, J. S. (2002). Applied demography: Applications in business, government, law, and public policy. San Diego: Academic Press.

    Google Scholar 

  • Siegel, J. S., & Swanson, D. A. (Eds.). (2004). The Methods and Materials of Demography, Second Edition. New York: Elsevier Academic Press.

    Google Scholar 

  • Siegel, S. (1956). Nonparametric statistics for the behavioral sciences. New York: McGraw Hill.

    Google Scholar 

  • Silverman, B. W. (1986). Density estimation for statistics and data analysis. New York: Chapman and Hall.

    Google Scholar 

  • Smith, D. P. (1992). Formal Demography. New York: Plenum Press.

    Google Scholar 

  • Smith, S. K., & Swanson, D. A. (1998). In defense of the net migrant. Journal of Economic and Social Measurement, 24(249–264).

    Google Scholar 

  • Smith, S. K., Tayman, J. & Swanson, D. A. (2001). State and local population projections: Methodology and analysis. New York: Kluwer Academic / Plenum Publishers.

    Google Scholar 

  • Spence, I. (2005). No humble pie: The origins and uses of a statistical chart. Journal of Educational and Behavioral Statistics, 30, 353–368.

    Article  Google Scholar 

  • Spence, I., & Lewandowsky, S. (1990). Graphical perception. In J. Fox & J. S. Long (Eds.), Modern Methods of Data Analysis (pp. 13–57) Newbury Park: Sage.

    Google Scholar 

  • Stock, J. H., & Watson, M. W. (2003). Introduction to econometrics. Boston: Addison Wesley.

    Google Scholar 

  • Sung, K., Shirley, P., & Baer, S. (2008). Essentials of interactive computer graphics. Wellesley: A.K. Peters, Ltd.

    Google Scholar 

  • Tarter, M. E., & Kronmal, R. A. (1976). An introduction to the implementation and theory of nonparametric density estimation. The American Statistician, 30, 105–112.

    Google Scholar 

  • Tarver, J. D., & McLeod, R. D. (1973). A test and modification of Zipf's hypothesis for predicting interstate migration. Demography, 10(2), 259–275.

    Article  Google Scholar 

  • Tufte, E. R. (1990). Envisioning information. Cheshire: Graphics Press.

    Google Scholar 

  • Tufte, E. R. (1997). Visual explanations: Images and quantities, evidence and narrative. Cheshire: Graphics Press.

    Google Scholar 

  • Tufte, E. R. (2001). The visual display of quantitative information, Second Edition. Cheshire: Graphics Press.

    Google Scholar 

  • Tyner, J., A. (2010). Principles of map design. New York: The Guilford Press.

    Google Scholar 

  • Zipf, G. K. (1946). The P1P2/D hypothesis: On the intercity movement of persons. American Sociological Review, II, 677–686.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of California Riverside, Riverside, CA, 92521, USA

    David A. Swanson

  2. Department of Economics, University of California San Diego, Gilman Drive 9500-0508, La Jolla, CA, 92093, USA

    Jeff Tayman

Authors
  1. David A. Swanson
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jeff Tayman
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Swanson, D.A., Tayman, J. (2012). Basic Measures. In: Subnational Population Estimates. The Springer Series on Demographic Methods and Population Analysis, vol 31. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8954-0_4

Download citation

Publish with us

Policies and ethics

Search

Navigation