Anderson and Arias 2003 — The Effect of Revised Populations on Mortality Statistics for the United States, 2000

mortality-statisticsdeath-ratespopulation-denominatorspostcensal-estimatescensus-2000race-bridgingage-adjusted-rateslife-expectancyNCHSmeasurementrace-ethnicityHispanic-paradoxAmerican-Indianblack-white-gap

Summary

U.S. mortality statistics for 2000 were initially published using 1990-based postcensal population estimates as the denominator. When the 2000 census revealed the true population was over 6 million larger, the National Center for Health Statistics (NCHS) recomputed all death rates and life expectancies using census-enumerated April 1, 2000 populations (bridged to single-race categories to match death certificate coding). The revised statistics are, in many cases, significantly different — particularly for minority populations — and supersede the originally published figures. 2000 data computed on 1990-based denominators are not comparable with 2001+ data.

Key Claims

Concepts Introduced or Extended

Entities Mentioned

Quotes

"Revised death rates and life expectancies are, in many cases, significantly different from previously published mortality statistics calculated using 1990-based postcensal estimates for 2000."

"Previously published mortality statistics for 2000 using the 1990-based populations will not be comparable to the corresponding statistics that will be published for 2001."

My Take

This is an essential housekeeping paper that every researcher using U.S. mortality time series spanning the year 2000 needs to be aware of. The headline finding is modest at the aggregate level (−0.3% age-adjusted rate), but the subgroup-level corrections are large enough to matter for research conclusions — especially for American Indians and Hispanics. The Hispanic paradox case is the most analytically consequential: the "advantage" was partially an artifact of 1990-based postcensal overestimation of elderly Hispanics. The paper cannot easily disentangle race-bridging errors from true postcensal count errors, so the uncertainty in race-specific estimates (particularly AIAN) is noted but not quantified. The recurring nature of this problem (it happens at every decennial census) means researchers should always check which population base any published vital statistic uses.