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Small-Area Estimates of School-Age Children in Poverty Interim Report 1, Evaluation of 1993 County Estimates for Title I Allocations (1997) / Chapter Skim
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B. COMPARISON OF CENSUS AND CPS ESTIMATES OF POVERTY
Pages 51-62

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From page 51...
... In the 1990 census, income data the basis for measuring poverty were collected from a sample of 15 million households: a sample of about 1 in 6 households spread systematically across the country, except that very small counties and places (with estimated 1988 populations under 2,500) were sampled at a 1-in-2 rate, and very populous census tracts (or equivalent areas)
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From page 52...
... Each March, supplementary questions are asked about money income received the previous year. To obtain more reliable income data for the Hispanic-origin population, all November CPS households with one or more Hispanic persons are reinterviewed in March if they still include a Hispanic person.
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From page 53...
... was 92 percent; for the age group 0-14 and the age group 15-19 years, the ratios were 94 percent and 88 percent, respectively (Bureau of the Census, 1996:Table Dub. CPS undercoverage is corrected by ratio adjustments to the survey weights that bring the CPS estimates of population in line with updated national population controls by age, race, sex, and Hispanic origin.
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From page 54...
... CThe large difference between census and CPS estimates reflects the census practice of excluding children under age 15 in unrelated subfamilies from the poverty universe. The CPS includes household members away at school who are living in dormitories as family members and includes them in the poverty universe.
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From page 55...
... The net effect of the differences between the CPS and the census in data collection, processing, and other aspects of the two systems is that there are dif TABLE B-2 Household Income by Type, 1989: 1990 Census and March 1990 CPS Aggregate Income (in $ billions) Percentage of Benchmark March March 1990 1990 Independent 1990 1990 Source of IncomeCensus CPS Benchmark Census CPS Total money income3,537.4 3,460.4 Amounts for which benchmarks can be computed3,499.2 3,393.9 3,819.7 91.6 88.7 Wages and salaries2,652.7 2,545.9 2,625.2 101.0 96.8 Nonfarm self-employment218.6 207.1 290.0 75.4 71.4 Farm self-employment20.3 18.6 49.9 40.7 37.2 Interest, dividends, and rent258.8 247.7 471.5 54.9 52.5 Social Security and Railroad Retirement188.2 201.4 207.9 90.5 96.9 Public assistance28.3 25.9 32.8 86.3 79.0 Retirement, disability, and survivor income132.3 147.3 142.4 92.9 103.4 Otherincome sources38.2 66.5 NOTE: The independent benchmarks shown here for 1989 were extrapolated from 1990 independent estimates.
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From page 56...
... A question is whether CPS and census estimates of poverty rates and numbers of poor related children aged 5-17 differ in terms of geographic distribution, perhaps because of differences in completeness of income reporting that reflect the income mix in different areas or other reasons. In preliminary research conducted by the panel, no statistically significant differences were found in the ratios of CPS to census estimates of the number of poor school-age children among various geographic groupings of counties and states.
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From page 57...
... North Carolina 26,647 38 26,4065170.9 North Dakota 23,213 94 25,229903-8.0* Ohio 28,706 37 29,021655-1.1 Oklahoma 23,577 57 23,6671,236-0.4 continued on next page
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From page 58...
... * Statistically significant difference from 0 at the 10 percent significance level.
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From page 59...
... s9 4= x w m ~ of ~ O .
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From page 62...
... * Statistically significant difference from 0 at the 10 percent significance level.
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Key Terms

  • household income
  • children aged
  • poverty rates
  • cps estimates
  • population controls

  • related children
  • census estimates
  • total income
  • sample design
  • census poverty

  • poverty universe
  • poverty universes
  • census estimate
  • median household
  • independent benchmarks

  • aggregate household
  • income question
  • poor related
  • cps estimate
  • ratio adjustments

  • largest states
  • county estimates
  • percent significance
  • march cps
  • income received

  • unrelated individuals
  • income data
  • independent estimates
  • detailed set
  • money income


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