home / fivethirtyeight / covid-geography/mmsa-icu-beds

Menu
  • GraphQL API

covid-geography/mmsa-icu-beds: 66

This table contains the data behind the story How One High-Risk Community In Rural South Carolina Is Bracing For COVID-19.

mmsa-icu-beds.csv combines data from the Centers for Disease Control and Prevention’s Behavioral Risk Factor Surveillance System (BRFSS), a collection of health-related surveys conducted each year of more than 400,000 Americans, and the Kaiser Family Foundation to show the number of people who are at high risk of becoming seriously ill from COVID-19 per ICU bed in each metropolitan area, micropolitan area or metropolitan division for which we have data.

Being high risk is defined by a number of health conditions and behaviors. Based on the CDC’s list of the relevant underlying conditions that put people at higher risk of serious illness from COVID-19, plus the advice of experts from the Cleveland Clinic, the American Lung Association and the American Heart Association, we counted people as at risk if they’re 65 or older; if they have ever been told they have hypertension, coronary heart disease, a myocardial infarction, angina, a stroke, chronic kidney disease, chronic obstructive pulmonary disease, emphysema, chronic bronchitis or diabetes; if they currently have asthma or a BMI over 40; if they smoke cigarettes every day or some days or use e-cigarettes or vaping products every day or some days; or if they’re currently pregnant. We included every individual who meets at least one of these conditions but counted them only once each, so anyone with multiple conditions doesn’t get counted multiple times. We were not able to include a number of conditions for which we did not have location-based data from the BRFSS, such as liver disease, having smoked, vaped or dabbed marijuana in the last 30 days, and getting cancer treatment or being on immunosuppression medications.

Column Description
MMSA The name of the metropolitan area, micropolitan area or metropolitan division available in the CDC’s BRFSS
total_percent_at_risk The percent of individuals in that area that are at high risk of becoming seriously ill from COVID-19, per CDC’s BRFSS
high_risk_per_icu_bed The number of high risk individuals per ICU bed in that area
high_risk_per_hospital The number of high risk individuals per hospital in that area
icu_beds The number of ICU beds in the area, based on the Kaiser Family Foundation’s data
hospitals The number of hospitals in the area, based on the Kaiser Family Foundation’s data
total_at_risk The total number of high risk individuals in the area, per CDC’s BRFSS

Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub · About: simonw/fivethirtyeight-datasette

This data as json, copyable

rowid MMSA total_percent_at_risk high_risk_per_ICU_bed high_risk_per_hospital icu_beds hospitals total_at_risk
66 Minot, ND 61.17% 1940.797368 18437.575 19 2 36875.15
Powered by Datasette · Queries took 101.668ms · Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub · About: simonw/fivethirtyeight-datasette