ACS Data with Oregon REALD Categories [Dataset]
Document Type
Dataset
Publication Date
2024
Subjects
Oregon -- Population -- Statistics, Demographic surveys -- Oregon, Population forecasting -- Oregon, Minority Groups, Minorities -- Disproportionate representation, People with disabilities -- Oregon -- Statistics, Medical informatics, Social justice
Abstract
Excerpt from the Readme file:
Oregon HB 2134 (2013) and HB 4212 (2020) stipulated the adoption of new race, ethnicity, language, and disability data standards (REALD). The Population Research Center partnered with the Oregon Health Authority (REALD & SOGI unit of the E&I Division) and the Oregon Secretary of State to produce county-level population estimates by REALD classifications based on American Community Survey (ACS) Public Use Microdata Samples (PUMS) and ancillary tabulations from the full ACS sample.
The ACS is a nationally representative sample of approximately 2% of the US resident population each year. Results of the ACS data are published as tables, aggregated into a variety of summary file releases such as subject tables, demographic profiles, detailed tables, and others. The ACS tables do not contain sufficient detail to count the population by REALD characteristics. Therefore, the starting estimates for the population by REALD characteristics are estimated from the ACS PUMS, a microdata sample of individual ACS responses.
The published tables differ from the PUMS in several respects: they are calculated from the 100% ACS sample (rather than the portion of the sample included in the PUMS), which provides greater statistical confidence. They are also available for many geographical levels including individual census tracts and counties (rather than the PUMA geographies which are the only level available for the PUMS). The ACS PUMS contains approximately 50% of unit-level response data from the ACS. ACS releases are currently published as single-year samples, weighted to the mid-year population, or in five-year aggregated samples, combining 5 cumulative years of ACS response data, and weighted to the mid-year population of the third year of the sample (as estimated in the fifth year of the sample). In order to construct a more statistically reliable and consistent sample, data from the five-year PUMS samples are used for all areas. The data also contain replicate weights for persons and households for evaluating statistical uncertainty.
Rights
©2024 Portland State University
Persistent Identifier
https://archives.pdx.edu/ds/psu/42477
Citation Details
Sharygin, E. 2024. ACS Data with Oregon REALD Categories, version 2.0 [dataset]. Portland, OR: Portland State University. Available as of 8/1/2024 at: https://github.com/PSU-Population-Research-Center/census_reald
Readme File
Description
File name: https://github.com/PSU-Population-Research-Center/census_reald
Year: 2024
Geographic level: County and State
Extent: Oregon and Clark County, WA
URL (temporary): N/A
Contents: Downloads are currently available as Stata datasets, where the file year refers to the final year of the 5-year ACS data release. Each dataset contains fields identifying the geography (stcofips, the state and or county FIPS codes), the subpopulation for which the estimates are generated, and the estimate (b) and standard error of the estimate (se).
* Population by age/sex: 2019 2020 2021 2022
* Population by age/sex and OMB race (ombrr): 2019 2020 2021 2022
* Population by age/sex and REALD primary race (reldpri): 2019 2020 2021 2022
* Population by Disability (disdi): 2019 2020 2021 2022
* Population by Disability, combined (da4): 2019 2020 2021 2022
* Population by Disability, detailed (da7): 2019 2020 2021 2022
* Population by Disability, sight (eye): 2019 2020 2021 2022
* Population by Disability, hearing (ear): 2019 2020 2021 2022
* Population by Disability, self-care (drs): 2019 2020 2021 2022
* Population by Disability, ambulatory (phy): 2019 2020 2021 2022
* Population by Disability, cognitive (rem): 2019 2020 2021 2022
* Population by Disability, independent living (out): 2019 2020 2021 2022
* Population by LEP and Language Spoken at Home (counties): 2019 2020 2021 2022
* Population by LEP and Language Spoken at Home (state; additional age detail): 2019 2020 2021 2022