Skip to content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Loss of Work Due to Illness from COVID-19

Metadata Updated: April 21, 2022

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of loss of work due to illness with coronavirus for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included a question about the inability to work due to being sick or having a family member sick with COVID-19. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor work-loss days and work limitations in the United States. For example, in 2018, 42.7% of adults aged 18 and over missed at least 1 day of work in the previous year due to illness or injury and 9.3% of adults aged 18 to 69 were limited in their ability to work or unable to work due to physical, mental, or emotional problems. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who did not work for pay at a job or business, at any point, in the previous week because either they or someone in their family was sick with COVID-19. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/work.htm#limitations

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date November 10, 2020
Metadata Updated Date April 21, 2022
Data Update Frequency irregular

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date April 21, 2022
Publisher Centers for Disease Control and Prevention
Maintainer
Identifier https://data.cdc.gov/api/views/qgkx-mswu
Data First Published 2020-09-14
Language en-US
Data Last Modified 2022-04-07
Category NCHS
Public Access Level public
Data Update Frequency irregular
Bureau Code 009:20
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 31dd5bf0-b046-49fd-b506-df8e2833a8da
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://www.cdc.gov/nchs/covid19/rands/work.htm
License https://www.usa.gov/government-works
Old Spatial US
Program Code 009:020
Source Datajson Identifier True
Source Hash 1a3ec10993285b6f5711cf1ec4212512eb3b58eb
Source Schema Version 1.1
Spatial {"type":"Polygon","coordinates":-124.733253,24.544245,-124.733253,49.388611,-66.954811,49.388611,-66.954811,24.544245,-124.733253,24.544245}
Temporal 2020-06-09/2021-06-30

Didn't find what you're looking for? Suggest a dataset here.

data.gov

An official website of the General Services Administration.

Looking for U.S. government information and services?
Visit USA.gov