The 2000 projected U.S. standard population

The year-2000 projected U.S. population (Census P25-1130) used for direct age standardization, in the two groupings BRFSS work needs: set = "age19" is NCHS's 19 standard five-year age groups (all ages), and set = "adult6" is the adult population collapsed to BRFSS's _AGE_G groups (18-24, 25-34, 35-44, 45-54, 55-64, 65+).

Usage

brfss_std_pop_2000

Format

A tibble with 25 rows and 6 columns:

set

"age19" or "adult6"; use one set at a time.

age_group

Label, e.g. "18-24", "85+".

age_min,age_max

Group bounds in years; age_max is NA for the open-ended top group.

std_pop

Standard population count.

std_weight

std_pop normalized within the set (each set sums to 1).

Rows run in ascending age order within each set, so the adult6 rows are in _AGE_G code order (1 through 6), which is the order survey::svystandardize() expects for its population argument (it matches that vector to the levels of by by position, without checking names).

Source

Aggregated from SEER's single-age rendering of the Census P25-1130 year-2000 projected population, https://seer.cancer.gov/stdpopulations/. Anchors verified against the published tables: under-1 3,794,901; 85+ 4,259,173; the two adult groups Klein & Schoenborn publish unsplit carry their weights (18-24 = 0.12881, 65+ = 0.17027). Klein RJ, Schoenborn CA. Age adjustment using the 2000 projected U.S. population. Healthy People 2010 Statistical Notes No. 20. Hyattsville, MD: NCHS; 2001.

Details

adult6 is the 2000 standard cut to _AGE_G, not a published distribution in its own right: it is a finer partition of the ones that are. Klein and Schoenborn's distribution #9, which BRFSS uses, has five groups with 45-64 combined (18-24 .128810, 25-34 .182648, 35-44 .219077, 45-64 .299194, 65+ .170271), and CDC's own guide to direct age adjustment of BRFSS data specifies three (18-44 .530535, 45-64 .299194, 65+ .170271). To reproduce a CDC table adjusted with either, sum the corresponding adult6 rows: 45-54 and 55-64 give the 45-64 weight, and the first three give the 18-44 weight, each within four units of the last digit CDC prints (the sums are 0.5305366 and 0.2991955 against .530535 and .299194, since these rows are the 2000 projection re-aggregated rather than CDC's rounded figures copied). The difference is far below anything an estimate shows. Adjusting with six groups instead is a defensible choice, and a different one, so say which you used.

See also

The Age-adjusted prevalence article for the survey::svystandardize() workflow this table feeds.

Examples

brfss_std_pop_2000
#> # A tibble: 25 × 6
#>    set   age_group age_min age_max  std_pop std_weight
#>    <chr> <chr>       <int>   <int>    <dbl>      <dbl>
#>  1 age19 <1              0       0  3794901     0.0138
#>  2 age19 1-4             1       4 15191619     0.0553
#>  3 age19 5-9             5       9 19919840     0.0725
#>  4 age19 10-14          10      14 20056779     0.0730
#>  5 age19 15-19          15      19 19819518     0.0722
#>  6 age19 20-24          20      24 18257225     0.0665
#>  7 age19 25-29          25      29 17722067     0.0645
#>  8 age19 30-34          30      34 19511370     0.0710
#>  9 age19 35-39          35      39 22179956     0.0808
#> 10 age19 40-44          40      44 22479229     0.0819
#> # ℹ 15 more rows