This dataset includes COVID-19 self-test result data voluntarily reported by users of tests through the MakeMyTestCount website (makemytestcount.org). All fields are self-reported by the user with the exception of fields derived from the self-reported zip code. This dataset will be updated monthly. If there are any questions, please direct them to the data steward, Jasmine Chaitram .

This dataset includes the following self-reported data:
- Date (by week)– date of test shown by week starting date
- Age group (years) – age of individual taking the test, categorized into the following: 2-4, 5-11, 12-15, 16-17, 18-29, 30-39, 40-49, 50-64, 65-74, 75+
- Race – race of individual taking the test: American Indian or Alaska Native, Asian, Black, Native Hawaiian or Other Pacific Islander, White, Multiple or Other, missing - Ethnicity – ethnicity of individual taking the test: Hispanic, Non-Hispanic, missing - Sex – sex of individual taking the test: male, female, missing - Test result – positive, negative, inconclusive

The dataset also includes the following columns to support analyses. These columns are based on the self-reported zip code:
- State abbreviation
- State name
- State FIPS code - FEMA region

Please note that there are limitations with these data, including:

1. Data are not comprehensive of all self-tests performed. Data represent results voluntarily reported by an individual via the MakeMyTestCount website. These data do not include self-test results that were reported to state and local health departments if they were not also reported through the MakeMyTestCount website. The true denominator (known number of tests completed in the US) cannot be ascertained and reflects a small fraction of the number of self-tests used.

2. Data are not verified. The quality of specimen, appropriate execution of self-test, result produced, and person tested are unverified; therefore, reported interpretation of results cannot be confirmed. All results and accompanying demographic information are also self-reported and cannot be verified.

3. Data reports are not complete. Individual submissions vary widely in terms of the data elements collected. Not all data elements are required (only date, age, and zip code), and some results are missing demographic information.

4. Data are not representative. Based on the limited number of self-reported test results, this dataset is not representative of the use of self-testing by demographic, nor is the dataset inclusive of all self-testing completed within each jurisdiction. This dataset represents a small proportion of overall COVID-19 testing conducted and reported volumes are much lower than testing conducted in point of care and laboratory settings.

5. Data represent individual test results, not persons tested. Data in this dataset are not linkable and do not allow for analyses around serial testing. Data also cannot be disaggregated to identify multiple reports by the same individual.

All analyses should be completed with these limitations in mind.

For more information about the challenges and opportunities around self-test data, please refer to the following article: Ritchey MD, Rosenblum HG, Del Guercio K, et al. COVID-19 Self-Test Data: Challenges and Opportunities — United States, October 31, 2021–June 11, 2022. MMWR Morb Mortal Wkly Rep 2022;71:1005–1010. DOI: http://dx.doi.org/10.15585/mmwr.mm7132a1