Colorado Population Data Dashboard

Mental Health

Coming Soon

Click here to access information on national and state mental health resources.

This page will contain information on the following indicators:

Suicide
Anxiety and Depression
Poor Mental Health days
Frequent Mental Distress
Drug-induced mortality and hospitalization (illicit drugs and prescriptions opioids)
Smoking and e-cigarettes
Alcohol Consumption
Marijuana Use
Food Insecurity

Note: Data sources for the indicators above include the Colorado Behavioral Risk Factor Surveillance System, the Centers for Disease Control and Prevention wide-ranging online data for epidemiologic research (CDC WONDER), and the Healthcare Cost and Utilization Project (HCUP).

Denver County COVID-19 Impact & Vulnerability

Past 7 Day Positivity Rate

7.5%

Note: For more information please see description at the bottom of this panel.

COVID-19 Immunization

	Population %	Ranking
Fully-Vaccinated	76.6%	11^th

Snapshot of Past 14 Days

	Rate per 100,000	Ranking
Tests	9,779	21^st
Cases	865	51^st
Hospitalizations	19	33^rd
Deaths	2	20^th

	Total count	Ranking
Tests	70,197	1^st
Cases	1,001	1^st
Hospitalizations	51	4^th
Deaths	1	9^th

Cumulative COVID-19 Indicators

	Rate per 100,000	Ranking
Tests	330,618	15^th
Cases	22,304	21^st
Hospitalizations	1,085	32^nd
Deaths	170	38^th

	Total count	Ranking
Cases	221,508	2^nd
Hospitalizations	9,887	1^st
Deaths	1,494	3^rd

: 81^st - 100^th (Top Quintile)
: 61^st - 80^th
: 41^st - 60^th
: 21^st - 40^th
: 1^st - 20^th (Bottom Quintile)

Note: Darker colors represent higher quintiles. A quintile is a statistical value of a data set that represents 20% of a given population, so the first quintile represents the lowest fifth of the data (1% to20%);the second quintile represents the second fifth (21% to 40%) and so on. For example, if your county has the 7th largest rate for any of the indicators, it ranks in the top quintile (81% to 100%; or 1st largest to 13th largest rate). Having high case, hospitalization or death rates is undesirable; but having high test rates may be a sign that your county has ramped up testing capacity.

Past 7 Day Positivity Rate

As a rule of thumb, one threshold for the percent positive being too high is 5%.

FORMULA: (TOTAL COUNT OF CASES OVER PAST 7 DAYS / TOTAL NUMBER OF TESTS OVER PAST 7 DAYS) * 100

This indicator helps public health officials answer questions such as:

What is the current level of COVID-19 transmission in the community?
Are we doing enough testing for the amount of people who are getting infected?

The percent positive is a critical measure because it gives us an indication how widespread infection is in the area where the testing is occurring—and whether levels of testing are keeping up with levels of disease transmission. A higher percent positive suggests higher transmission and that there are likely more people with coronavirus in the community who haven’t been tested yet.

Please visit the Johns Hopkins University website for more information about positivity rate.