A dataset containing median individual earnings by various dimensions (sex, race, education, etc.) for Maryland, for adults ages 25 and up with positive earnings. The data is calculated from the 2024 American Community Survey (ACS) Public Use Microdata Sample (PUMS) data via the Integrated Public Use Microdata Series (IPUMS).
Format
A data frame with 59 rows and 12 variables:
- dimension
Factor. The dimension across which values are calculated.
- status
Factor. Worker status: all workers, full-time workers, or part-time workers. Some groups are only available for full-time workers.
- sex
Factor. The sex of the individuals.
- race_eth
Factor. The race/ethnicity of the individuals.
- edu
Factor. The education level of the individuals.
- count
Numeric. The estimated number of individuals in the group.
- sample_n
Numeric. The sample size used for estimates.
- earn_q20
Numeric. The 20th percentile of earnings.
- earn_q25
Numeric. The 25th percentile of earnings.
- earn_q50
Numeric. The 50th percentile (median) earnings.
- earn_q75
Numeric. The 75th percentile of earnings.
- earn_q80
Numeric. The 80th percentile of earnings.
Source
U.S. Census Bureau, American Community Survey, Integrated Public Use Microdata Series https://usa.ipums.org/usa/. Analyzed using the srvyr package.
Examples
head(wages)
#> # A tibble: 6 × 12
#> dimension status sex race_eth edu count sample_n earn_q20 earn_q25
#> <fct> <fct> <fct> <fct> <fct> <dbl> <int> <dbl> <dbl>
#> 1 total all_workers total total total 2892611 135999 30881 36436
#> 2 total part_time total total total 632931 30715 9716 12005
#> 3 total full_time total total total 2259680 105284 42874 48582
#> 4 by_sex all_workers men total total 1487580 68775 36000 41295
#> 5 by_sex all_workers women total total 1405031 67224 26796 32155
#> 6 by_sex part_time men total total 264368 12389 10294 12860
#> # ℹ 3 more variables: earn_q50 <dbl>, earn_q75 <dbl>, earn_q80 <dbl>