COVID-19 Mortality Overview: Provisional Death Counts for Coronavirus Disease 2019 (COVID-19) [2022-03-02]
Public Domain
-
Mar. 2, 2022
File Language:
English
Details
-
Corporate Authors:
-
Description:In response to the COVID-19 pandemic, NCHS is releasing provisional death data from the National Vital Statistics System (NVSS) on a daily and weekly basis. These data come directly from death certificates filed at the state and local level, and feature counts of COVID-19-related deaths by age, gender, race and Hispanic origin, place of death, and include information on other health conditions and comorbidities involved in these deaths. Estimates on excess deaths – the number of deaths exceeding the normal average total of deaths in recent years – are also included. The statistical summary below is updated weekly (usually on Wednesday), and includes links to corresponding Data Tables on the NCHS COVID-19 data page.
-
Content Notes:Deaths Attributed to COVID-19 on Death Certificates -- Weekly Highs and Lows of COVID-19 Deaths -- Place of Death -- Death by Age Group -- Percentage of COVID-19 Deaths by Race & Hispanic Origin -- Most Frequently Listed Comorbidities with COVID-19 Deaths -- Total Excess Deaths,
-
Subjects:
-
Document Type:
-
Genre:
-
Place as Subject:
-
Topic:
-
Collection(s):
-
Main Document Checksum:urn:sha-512:ab200e9bb08b6a9f8096f3750a668164e43bb6ad476936b5152a0d90b3584156f4c7eac2fdeb41f2c9bb1aed4df8faa0f76196c63c847bca8fddfc35d4e33b6b
-
Download URL:
-
File Type:
File Language:
English
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like