AndreaBozzo/ceres-open-data-index huggingface dataset:
NCHS - Age-adjusted Death Rates for Selected Major Causes of Death

This dataset of U.S. mortality trends since 1900 highlights trends in age-adjusted death rates for five selected major causes of death.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Revisions to the International Classification of Diseases (ICD) over time may result in discontinuities in cause-of-death trends.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Tags: age-adjusted-death-rate, cause-of-death, mortality-united-states, nchs
Organization: U.S. Department of Health & Human Services
Provisional COVID-19 Deaths by Week, Sex, and Age

Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

Deaths involving COVID-19 reported to NCHS by sex and age group and week ending date.

Tags: age, age-group, all-causes, coronavirus, covid-19, deaths, mortality, nchs, nvss, provisional, sex, united-states, weekly
Organization: U.S. Department of Health & Human Services
Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks

The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.

The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

Tags: covid-19, delayed-care, unmet-need
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin

Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by week, sex, and race and Hispanic origin. Deaths occurred in the United States.

Tags: all-causes, coronavirus, covid-19, deaths, hispanic-origin, mortality, nchs, nvss, provisional, race, sex, united-states, weekly
Organization: U.S. Department of Health & Human Services
NCHS - Death rates and life expectancy at birth

This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Life expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Tags: death-rates, life-expectancy, mortality, nchs, united-states
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015 to date

Deaths from all causes and deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Tags: age, age-group, all-causes, children, coronavirus, covid-19, deaths, hhs-region, hispanic-origin, mortality, nchs, nvss, provisional, puerto-rico, race, united-states, weekly
Organization: U.S. Department of Health & Human Services
Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This data file contains the following indicators that can be used to illustrate potential differences in the burden of deaths due to COVID-19 according to race and ethnicity:
count of COVID-19 deaths, distribution of COVID-19 deaths, unweighted distribution of population, and weighted distribution of population.

Tags: coronavirus, covid-19, deaths, hispanic-origin, mortality, nchs, nvss, provisional, race, state, united-states
Organization: U.S. Department of Health & Human Services
AH County of Occurrence COVID-19 Death Counts, 2020 Provisional

Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of occurrence, from January 1, 2020 through December 31, 2020.

Tags: all-causes, coronavirus, county, covid-19, deaths, mortality, nchs, nvss, provisional, united-states, yearly
Organization: U.S. Department of Health & Human Services
Provisional COVID-19 Death Counts in the United States by County

Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from  CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html)

Provisional count of deaths involving COVID-19 by county of occurrence, in the United States, 2020-2023.

Tags: all-causes, coronavirus, county, covid-19, deaths, mortality, nchs, nvss, provisional, united-states
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths Counts by Health Service Area

Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. Health service area is determined by the decedent's county of residence.

Tags: all-causes, coronavirus, covid-19, deaths, health-service-area, mortality, nchs, nvss, provisional, united-states, yearly
Organization: U.S. Department of Health & Human Services
AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020

Deaths involving coronavirus disease 2019 (COVID-19) and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.

Tags: age, age-group, all-causes, coronavirus, covid-19, deaths, mortality, nchs, nvss, place-of-death, pneumonia, provisional, puerto-rico, state, united-states
Organization: U.S. Department of Health & Human Services
Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities

The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures. 

This file contains estimates and standard errors for the baseline and final years for individual population groups used in the Overview of Health Disparities analysis. The number and definitions of population groups varied across the HP2020 objectives and data sources used. These population groups are shown in the disparities file as originally reported by the data source, rather than the harmonized categories that were used for the HP2020 Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). Additionally, for any given objective, the baseline and final years used for the disparities analysis do not necessarily correspond to the baseline and final years used to evaluate progress toward target attainment in the HP2020 Final Review Progress Table (https://www.cdc.gov/nchs/healthy_people/hp2020/progress-tables.htm) and Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). These distinctions should be considered when merging the downloadable Progress Table or Progress by Population Group data files with the Overview of Health Disparities data files, or when integrative analyses that incorporate both disparities and progress data are conducted.  
    
Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).

Tags: health-disparities, healthy-people-2020
Organization: U.S. Department of Health & Human Services
NCHS - Injury Mortality: United States

This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2). 

Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.

SOURCES

CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES 

1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

Tags: injury, mortality, nchs, united-states
Organization: U.S. Department of Health & Human Services
Provisional Death Counts for Influenza, Pneumonia, and COVID-19

Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.

Tags: age, age-group, all-causes, coronavirus, covid-19, deaths, hhs-region, influenza, mortality, nchs, nvss, pneumonia, provisional, state, united-states, weekly
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Death Counts by Week, Race, and Age, United States 2020-2023

Provisional deaths involving COVID-19 reported to NCHS by MMWR week, race and Hispanic origin, and age group. Deaths occurred in the United States.

Age groups: 0-4, 5-11, 12-17, 18-29, 30-39, 40-49, 50-64, 65-74, and 75+ years

Tags: age, age-group, all-causes, children, coronavirus, covid-19, deaths, hispanic-origin, mortality, nchs, nvss, provisional, race, united-states, weekly
Organization: U.S. Department of Health & Human Services
Maryland Area Regional Commuter Stops

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Maryland Transit Stops and Stations.</SPAN></P></DIV></DIV></DIV>

Tags: bus, commuter, district-of-columbia, light-rail, marc, ncr-gdx, railroad, railway, station, stop, train, transit, transportation, washington-dc
Organization: District of Columbia
Senior High School Attendance Zone Change Area

<div style='text-align:Left;'><div><div><p><span>These maps display the areas throughout the city that were impacted by the new school attendance zones as of SY2015-16. The area is considered impacted if it was reassigned to a different school or reassigned to just one of its current school options (previously some areas had rights to multiple schools due to school closures). These maps do not take into account phasing in policies. For more information about the 2014 Student Assignment and Boundaries Review Process, visit </span><a href='https://dme.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://dme.dc.gov</span></a><span>.</span></p></div></div></div>

Tags: attendance-zones, dc-public-schools, district-of-columbia, dme, education, high-schools, washington-dc
Organization: District of Columbia
Credit Unions

<div style="text-align:Left;"><div><div><p><span>Credit Union locations provided by the Department of Insurance Securities and Banking (DISB). The Banking Bureau of the Department of Insurance, Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies and check cashers. The data is updated irregularly as needed.</span></p></div></div></div>

Tags: banking, credit-union, dc, department-of-insurance-securities-banking, disb, district-of-columbia, economic, money, savings, washington-dc
Organization: District of Columbia
CDC Social Vulnerability Index (CDCSVI)

The Centers for Disease Control Social Vulnerability Index shows which communities are especially at risk during public health emergencies because of factors like socioeconomic status, household composition, racial composition of neighborhoods, or housing type and transportation. The CDC SVI uses 15 U.S. census variables to identify communities that may need support before, during, or after disasters. Learn more here.

The condition is the overall ranking of four social theme rankings where lower values indicate high vulnerability and high values indicate low vulnerability.

Quintiles for this condition were determined for all the Census tracts in King County. Quintile 1 is the most vulnerable residents, Quintile 5 is the least vulnerable residents.

Data is released every 2 years following the American Community Survey release in December of the year following the Survey. The most recent data for 2018 was downloaded from the ATSDR website.

Tags: king-county
Organization: King County, Washington
ICLUS v1.3 Housing Density for the Conterminous USA

Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline ("base case"). The model is run for the conterminous USA and output is semi-decadally for each scenario to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer.

Tags: climate, human, impact, land, modeling, united states
Organization: U.S. Environmental Protection Agency
ICLUS v1.3 Estimated Percent Impervious Surface for the Conterminous USA

Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline ("base case"). The model is run for the conterminous USA and output is available for each scenario by decade to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer.

Tags: climate, human, impact, land, modeling, united states
Organization: U.S. Environmental Protection Agency
EPA Office of Water (OW): Beaches NHDPlus Indexed Dataset

The Beaches Environmental Assessment and Coastal Health (BEACH) Program focuses on the following five areas to meet the goals of improving public health and environmental protection for beach goers and providing the public with information about the quality of their beach water: strengthening beach standards and testing, providing faster laboratory test methods-predicting pollution, investing in health and methods research, informing the public. Under the BEACH Act Grant Program states (including tribes and territories) are required to submit their beach monitoring (water quality), notification (advisory and closing), and beach location data to EPA.

Tags: beach, beach act, beach data, beach locational data, beaches, cleanup, conservation, ecology, environment, health, human, nhd, recreation, united states, water, water program, waterbody
Organization: U.S. Environmental Protection Agency