Daily Case Rate Per 100,000
Evaluating your daily rate of new cases can give you a better understanding of the COVID-19 infection trends in your area. The higher your community’s rate, the more likely you could be exposed to the virus that causes COVID-19.
How is the daily rate calculated?
To calculate the daily rate of new infections, we look at the average number of newly confirmed cases in the last 7 days per 100,000 residents. Using the population size in the calculation helps us more easily compare larger and smaller counties. A larger county would be expected to have more cases because of the larger population, but expressing the rate per 100,000 residents enables a more equal analysis.
Transmission levels are grouped as follows:
- Red: more than 25 daily new cases per 100,000 county residents
- Orange: 11-25 daily new cases per 100,000 county residents
- Yellow: 1-10 daily new cases per 100,000 county residents
- Green: <1 daily new case per 100,000 county residents
What else do I need to know about these data?
Due to variations in the availability of testing, test-seeking behavior, local outbreaks, and widespread testing in congregate living settings, these data may not accurately represent true community transmission and should be considered with additional factors affecting the community in consultation with District Public Health, who can provide more guidance about the scenario in your county and if your transmission category is affected by outbreaks in specific settings. In addition, counties may change categories weekly, particularly smaller counties where a change of just a few cases could lead to a fairly substantial change in the mathematical calculation.
Please consult additional resources to understand trends and other factors affecting your county.
The following graphs show the daily case rates for each county in the Coastal Health District since mid-June. These graphs will be updated daily.
→ See also: Daily Average of New Cases | Community Transmission Index | Hospitalization Data | Percentage of Positive Tests | Cumulative Cases | Cases by Zip Code | Cases and Deaths by Age | Weekly Testing Numbers