Quarterly data on the number of deaths from all causes by state (of occurrence), sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent time periods can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected. Annual and cumulative counts (from Quarter 2, 2020 through the most recent quarter) are also shown.
This dataset has the following 25 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| State | state | text | Jurisdiction of Occurrence Abbreviation | CA TX AZ WA FL view top 100 |
| StateName | statename | text | Jurisdiction of Occurrence Name | California Texas Arizona Washington Florida view top 100 |
| RaceEthnicity | raceethnicity | text | Race or Hispanic Origin group | All Race/Ethnicity Groups Non-Hispanic White Hispanic Non-Hispanic Black Other view top 100 |
| Sex | sex | text | Sex | All Sexes Male (M) Female (F) view top 100 |
| AgeGroup | agegroup | text | Age Group | All Ages 50-64 Years 65-74 Years 75-84 Years 30-49 Years view top 100 |
| Year | year | number | Year | 2020 2021 2022 2019 2018 view top 100 |
| Quarter | quarter | text | Quarter | Quarter 2 Quarter 1 All Quarters Quarter 4 Quarter 3 view top 100 |
| YearQuarter | yearquarter | text | Year and Quarter | Cumulative from 2020, Quarter 2 through 2023, Quarter 2 Cumulative from 2020, Quarter 2 through 2023, Quarter 1 Cumulative from 2020, Quarter 2 through 2022, Quarter 4 Cumulative from 2020, Quarter 2 through 2022, Quarter 3 Cumulative from 2020, Quarter 2 through 2022, Quarter 2 view top 100 |
| Start Date | start_date | calendar_date | Start Date | 2020-04-01T00:00:00.000 2022-01-01T00:00:00.000 2021-01-01T00:00:00.000 2020-01-01T00:00:00.000 2019-01-01T00:00:00.000 view top 100 |
| End Date | end_date | calendar_date | End Date | 2023-06-30T00:00:00.000 2022-12-31T00:00:00.000 2021-12-31T00:00:00.000 2020-12-31T00:00:00.000 2023-03-31T00:00:00.000 view top 100 |
| Deaths (weighted) | deaths_weighted | number | Deaths (weighted) | 10 11 12 13 14 view top 100 |
| COVID19 (weighted) | covid19_weighted | number | COVID19 (weighted) | 0 10 11 12 13 view top 100 |
| Deaths (unweighted) | deaths_unweighted | number | Deaths (unweighted) | 10 11 12 13 14 view top 100 |
| COVID19 (unweighted) | covid19_unweighted | number | COVID19 (unweighted) | 0 10 11 12 13 view top 100 |
| Time Period | time_period | text | Time Period | 2022 2015-2019 2021 2020 2023 view top 100 |
| Average number of deaths (weighted) | average_number_of_deaths | number | Average number of deaths (weighted) | 10 11 12 13 14 view top 100 |
| Average number of deaths (unweighted) | average_number_of_deaths_1 | number | Average number of deaths (unweighted) | 10 11 12 13 14 view top 100 |
| Number above average (weighted) | number_above_average_weighted | number | Number above average (weighted) | 4 5 6 3 2 view top 100 |
| Percent above average (weighted) | percent_above_average_weighted | number | Percent above average (weighted) | 0 50 100 33.3 25 view top 100 |
| Number above average (unweighted) | number_above_average | number | Number above average (unweighted) | 4 5 6 3 2 view top 100 |
| Percent above average (unweighted) | percent_above_average | number | Percent above average (unweighted) | 0 50 100 33.3 25 view top 100 |
| AnalysisDate | analysisdate | calendar_date | Date of analysis | 2023-09-03T00:00:00.000 view top 100 |
| Suppression | suppression | text | Data suppression flag | One or more data cells have counts between 1-9 and have been suppressed in accordance with NCHS confidentiality standards. view top 100 |
| Footnote | footnote | text | Footnote | Data may be incomplete in recent time periods. view top 100 |
| Type | type | text | Type of estimate - quarterly, annual, or cumulative | Quarterly Estimates Annual Estimates Cumulative Estimates From 2020, Quarter 2 Through Most Recent Quarter Cumulative Estimates From 2020, Quarter 2 Through 2023, Quarter 2 Cumulative Estimates From 2020, Quarter 2 Through 2023, Quarter 1 view top 100 |