The National Death Index (NDI) is a centralized database of death record information on file in state vital statistics offices. Working with these state offices, the National Center for Health Statistics (NCHS) established the NDI as a resource to aid epidemiologists and other health and medical investigators with their mortality ascertainment activities. Assists investigators in determining whether persons in their studies have died and, if so, provide the names of the states in which those deaths occurred, the dates of death, and the corresponding death certificate numbers. Investigators can then make arrangements with the appropriate state offices to obtain copies of death certificates or specific statistical information such as manner of death or educational level. Cause of death codes may also be obtained using the NDI Plus service. Records from 1979 through 2011 are currently available and contain a standard set of identifying information on each death. Death records are added to the NDI file annually, approximately 12 months after the end of a particular calendar year. 2012 should be available summer 2014. Early Release Program for 2013 is now available. The NDI service is available to investigators solely for statistical purposes in medical and health research. The service is not accessible to organizations or the general public for legal, administrative, or genealogy purposes.

Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve.

The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj.

The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 .

The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 .

The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed.

Count of COVID-19-associated deaths by date of death. Deaths reported to either the OCME or DPH are included in the COVID-19 data. COVID-19-associated deaths include persons who tested positive for COVID-19 around the time of death and persons who were not tested for COVID-19 whose death certificate lists COVID-19 disease as a cause of death or a significant condition contributing to death.

Data on Connecticut deaths were obtained from the Connecticut Deaths Registry maintained by the DPH Office of Vital Records. Cause of death was determined by a death certifier (e.g., physician, APRN, medical examiner) using their best clinical judgment. Additionally, all COVID-19 deaths, including suspected or related, are required to be reported to OCME. On April 4, 2020, CT DPH and OCME released a joint memo to providers and facilities within Connecticut providing guidelines for certifying deaths due to COVID-19 that were consistent with the CDC’s guidelines and a reminder of the required reporting to OCME.25,26 As of July 1, 2021, OCME had reviewed every case reported and performed additional investigation on about one-third of reported deaths to better ascertain if COVID-19 did or did not cause or contribute to the death. Some of these investigations resulted in the OCME performing postmortem swabs for PCR testing on individuals whose deaths were suspected to be due to COVID-19, but antemortem diagnosis was unable to be made.31 The OCME issued or re-issued about 10% of COVID-19 death certificates and, when appropriate, removed COVID-19 from the death certificate. For standardization and tabulation of mortality statistics, written cause of death statements made by the certifiers on death certificates are sent to the National Center for Health Statistics (NCHS) at the CDC which assigns cause of death codes according to the International Causes of Disease 10th Revision (ICD-10) classification system.25,26 COVID-19 deaths in this report are defined as those for which the death certificate has an ICD-10 code of U07.1 as either a primary (underlying) or a contributing cause of death. More information on COVID-19 mortality can be found at the following link: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Mortality/Mortality-Statistics

Note the counts in this dataset may vary from the death counts in the other COVID-19-related datasets published on data.ct.gov, where deaths are counted on the date reported rather than the date of death.

Starting in July 2020, this dataset will be updated every weekday. Data are subject to future revision as reporting changes.

This data collection supplies date and cause of death data for sample persons included in the National Health Interview Surveys (NHIS) for the years 1986 through 1994. Beginning with survey year 1986, linkage information was collected on NHIS respondents aged 18 and older to allow for matching with other data systems such as the National Death Index (NDI). The Multiple Cause of Death (MCD) data files contain information on those persons with scores high enough to be considered deceased or scores high enough that they may be included in an analysis as deceased. The Ineligible Cases data files contain person IDs of those NHIS participants under the age of 18 as well as those with insufficient information to permit linkage with the NDI. These cases should be excluded from the NHIS survey data files prior to analysis. Linkage of the NHIS respondents with the NDI provides a longitudinal component to the NHIS that allows for the ascertainment of vital status. The addition of vital status permits the use of NHIS data to estimate survival, mortality, and life expectancy while using the richness of the NHIS questionnaires, both core and supplements, as covariates. These data files must be used in conjunction with the basic NHIS data files (1986 [ICPSR 8976], 1987 [ICPSR 9195], 1988 [ICPSR 9412], 1989 [ICPSR 9583], 1990 [ICPSR 9839], 1991 [ICPSR 6049], 1992 [ICPSR 6343], 1993 [ICPSR 6534], 1994 [ICPSR 6724]). Variables included in the MCD files cover year of interview, quarter, household number, person number, month and year of death, vital status, and causes of death. The Ineligible Cases files contain a person ID that matches columns 3-16 on the NHIS public use data files.

Annual data on deaths registered by age, sex and selected underlying cause of death. Tables also provide both mortality rates and numbers of deaths over time.

This data collection presents information about the causes of all recorded deaths occurring in the United States, Puerto Rico, the Virgin Islands, and Guam during 1994. Data are provided concerning underlying causes of death, multiple conditions that caused the death, place of death, residence of the deceased (e.g., region, division, state, county), whether an autopsy was performed, and the month and day of the week of the death. In addition, data are supplied on the sex, race, age, marital status, education, usual occupation, and origin or descent of the deceased. Mortality detail data for 1994 also can be extracted from this file. The mortality detail records are contained in the first 159 positions of these multiple cause records. The multiple cause of death fields were coded from the MANUAL OF THE INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES, INJURIES, AND CAUSE-OF-DEATH, NINTH REVISION (ICD-9), VOLUMES 1 AND 2. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR02201.v2. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

Description:This data deposit contains the Numerical Identification Death Files (National Archives Identifier 23845618), the NUMIDENT SS-5 Application Files (National Archives Identifier 23845613), the NUMIDENT Claims Files (National Archives Identifier 23852747), and the associated technical documentation. Data Acquisition:These files were e-delivered to Anthony Wray via secure link by the Electronic Records Division of the National Archives and Records Administration (NARA) on 17 October 2019, as per a digitized reproduction order (Quote QO1-525370500 and Quote QO1-528389077). The packing slip is included in the data deposit (docs/Packing Slip.PDF).Rights to Publish:The data are in the public domain, as confirmed by emails received from NARA on 28 December 2023 and 3 January 2024 (see docs/permission_to_publish_email.pdf).How to Cite: Please adhere to the citation and data usage guidelines when using this dataset. See the included LICENSE.txt and README.md files for details. Details:The Numerical Identification Files (NUMIDENT), 1936–2007, series contains records for every Social Security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007. There are three types of entries in NUMIDENT: application (SS-5), claim, and death records. A NUMIDENT record may contain more than one entry. Information contained in NUMIDENT records includes: each applicant's full name, SSN, date of birth, place of birth, citizenship, sex, father's name, mother's maiden name, and race/ethnic description (optional). NUMIDENT includes information regarding any subsequent changes made to the applicant's record, including name changes and life or death claims. The death records in NUMIDENT do not include any State reported deaths in accordance with the Social Security Act section 205(r). There are 72,182,729 SS-5 records entries; 25,230,486 claim record entries; and 49,459,293 death record entries.See https://catalog.archives.gov/id/12004494 for more information.Related Data:Visit the CenSoc Project for public micro datasets linked to NUMIDENT: https://censoc.berkeley.edu/.

The Registry of Vital Records and Statistics collects and produces statistical data about births, deaths and other vital events in the Commonwealth.

Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

Abstract (en): The National Violent Death Reporting System (NVDRS) collects data on violent deaths, i.e., suicides, homicides, and legal intervention, including terrorism-related incidents. The system also includes some other types of deaths, namely deaths due to undetermined intent and unintentional deaths due to firearms. One of the main reasons for including these types of deaths is that there is overlap in how these deaths are coded. For example, a particular poisoning case may be classified as an undetermined death in one state, but in a neighboring state, the same case may be coded as a suicide or an unintentional poisoning. NVDRS is an incident-based system that collects data from different data sources, including death certificates, coroner and medical examiner records, police reports, crime lab data, and child fatality review records. The system collects data on a violent incident, the deaths belonging to that incident, the injury mechanisms leading to death, and the alleged perpetrators (suspects) involved in the violent incident. The relationship of the victim to the suspect is also recorded, as are the relationships of each person to the injury mechanisms included. State health departments participating in NVDRS typically identify relevant violent deaths as their death certificates are filed and then establish the details of the cases from medical examiner, coroner, and law enforcement records. Data collection is ongoing as the source documents from the different data providers become available at different times and intervals. The data represent the violent incidents that occurred between January and December of that data year as submitted by the participating states. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. The 2004 data year includes information from 13 states (Alaska, Colorado, Georgia, Maryland, Massachusetts, North Carolina, New Jersey, Oklahoma, Oregon, Rhode Island, South Carolina, Virginia, and Wisconsin). These states combined accounted for 23.4 percent of the 2003 United States population, but 22.7 percent of the suicides and 21.9 percent of the homicides in the United States in 2002. Smallest Geographic Unit: state

Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

Users can search this database pertaining to respiratory conditions such as asthma, pneumonia, bronchitis, and tuberculosis. BackgroundThe National Occupational Respiratory Mortality System (NORMS) is developed and maintained by National Institute of Occupational Safety and Health (NIOSH) of the Centers for Disease Control and Prevention (CDC). This surveillance system includes respiratory conditions such as: asthma, pneumonia, bronchitis, tuberculosis, lung cancer, and silicosis, among others. User FunctionalityUsers can generate national- or occupation-specific queries. Users can gener ate tables, charts and maps containing the summary statistics such as number of deaths, crude death rates, age-adjusted death rates, and years of potential life lost (YPLL ). Users can also download the dataset and/or data queries into Microsoft Excel. Data NotesThis website provides data history regarding revisions to the dataset. Data from additional sources (i.e., population estimates, comparative standard population, and life-table values) are also available. National mortality data is derived from the National Center for Health Statistics (NCHS) multiple cause of death records. These data are updated annually since 1968, unless otherwise indicated. Data are available on national, state, and county levels. The most recent d ata available is from 2007.

The Charleston Heart Study (CHS) is a prospective cohort study of 2,283 subjects (1,394 whites, 889 blacks) in which risk factors of coronary disease have been examined for the past 43 years. The CHS began enrolling a random selection of community residents who in 1960 were 35 years of age and older ����?? including men and women, black and white. A unique feature of this cohort is the fact that 102 high socio-economic status (SES) black men were purposefully included. The primary hypothesis of the original study was to investigate racial differences in the manifestation and risk factors for coronary disease. Over the ensuing 40+ years, a variety of outcome measurements were incorporated into the re-examination of the participants, including psychosocial, behavioral, aging and functional measures. Subjects were initially interviewed and examined in 1960 and 1963. Subsequent interviews and examinations took place during the following time periods: 1974-1975, 1984-1985, 1987-1989, and 1990-1991. During the most recent questionnaire (1990-1991), the following topics were examined: general health, smoking, functional disability, physical disability, cardiovascular health, sexual dysfunction, cognitive disability, depression, coffee consumption, medication history, medical history, nutrition, and body image. In addition, serum samples and blood pressure measurements were taken, and a physical exam was performed by a physician. A search of the National Death Index was completed through the year 2000, matching individuals with date and cause of death. Vital status of the CHS study participants through 12-31-2000 is presented below. Dead * White Men 539 (82.5%) * White Women 500 (67.5%) * Black Men 281 (84.4%) * High SES Black Men 59 (57.8%) * Black Women 343 (75.6%) Data Availability: Datasets are stored in the National Archive of Computerized Data on Aging (NACDA) in the ICPSR as Study No. 4050. Data are also available from the Medical University of South Carolina Library; contact a PI, Paul J. Nietert, nieterpj (at) musc.edu for further information. * Dates of Study: 1960-2000 * Study Features: Longitudinal, Minority Oversamples, Anthropometric Measures * Sample Size: 1960: 2,283 (baseline) Link ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04050

Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

Provisional counts of the number of deaths registered in England and Wales, by age, sex, region and Index of Multiple Deprivation (IMD), in the latest weeks for which data are available.

Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 150 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

Abstract (en): Changing Lives of Older Couples (CLOC) is a large multi-wave prospective study of spousal bereavement. Face-to-face baseline interviews with married older adults in the Detroit, Michigan standardized metropolitan statistical area (SMSA) were conducted between June 1987 and April 1988, and follow-up interviews were conducted at six months (Wave 1), 18 months (Wave 2), and 48 months (Wave 3) after a spouse's death. Each widowed person was assigned a same-age, same-sex, same-race matched control from the baseline sample. Controls were interviewed again at each of the three follow-ups as well. Spousal loss was monitored using state-provided monthly death records and through daily obituaries from local area newspapers. The National Death Index (NDI) and direct ascertainment of death certificates were used to confirm all deaths. The primary strength of the CLOC study is its ability to measure spousal bereavement quantitatively. For this purpose a global grief scale and six grief subscales, unique to the CLOC study, were prepared. Depression was measured for all respondents with conceptualizations of depression at each wave, as well as major depressive episodes according to DSM-III-R criteria. Other survey questions focused on the social, psychological, and physical functioning of older adults (e.g., demographic, financial, housing, life events, social support, work and activities, marriage and family, religion, health and well-being). For a portion of the respondents (n = 432) in what was referred to as the MacBat study, various biomedical indicators (motor and cognitive, physiological, endocrinological and biochemical) were measured as well. The CLOC study has been subset into four primary datasets. The core, or Complete, dataset (Part 1) contains all available variables from all four waves of the study (Baseline, W1, W2, W3) for the entire sample of 1,532 persons (excluding clones, the 13 individuals who initially participated in a follow-up interview as control subjects, but who subsequently experienced spousal loss, and then entered the study as bereaved subjects). The Baseline Only dataset (Part 2) contains all variables collected at the baseline interview (V1-V957) for the entire sample of 1,532 persons (excluding clones). It also contains the baseline physiological variables (V20001-V20991) from the subsample of 432 persons who also participated in the baseline MacBat portion of the study. The Widowed-Controls Only datasets (Parts 3 and 4) contain all available data from anyone who participated as either a widowed person or a control subject in at least one of the three CLOC follow-up surveys (W1, W2, W3). This dataset is available with or without clones (n = 558 subjects including clones, and n= 545 excluding clones). The Couples Only dataset (Part 5) contains data collected from both the husband and the wife of 423 couples (n = 846) and includes all available data from all four waves of data collection (baseline, W1, W2, W3). Each record contains data for the wife (the "V" variables) and data for the husband (the "S" variables). A Clones Only dataset (Part 6) is also included for the advanced user and contains data for the 13 individuals identified as clones. A case-control matched design is recommended for analysis of the Clones Only data. Noninstitutionalized, English-speaking married couples capable of participating in a two-hour face-to-face interview, in which the husband was at least age 65, from the Detroit, Michigan, standardized metropolitan statistical area (SMSA). Two-stage area probability sample of 1,532 married men and women. Women were oversampled in an effort to maximize the number of bereaved subjects. 2006-01-18 File QU3370.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (P.I., AG15948-01, AG610757-01, and AG05561-01). The availability of these data is made possible by a grant from the National Institute on Aging (Randolph M. Nesse, Principal Investigator, AG15948-01). The original data collection for the CLOC study was supported by NIA grants (Camille B. Wortman, Principal Investigator, AG610757-01, and James S. House, Principal Investigator, AG05561-01). Users are encouraged to check the CLOC Web site at http://www.cloc.isr.umich.edu for additional information.

Abstract (en): The Deaths in Custody Reporting Program (DCRP) is an annual data collection conducted by the Bureau of Justice Statistics (BJS). The DCRP began in 2000 under the Death in Custody Reporting Act of 2000 (P.L. 106-297). It is the only national statistical collection that obtains detailed information about deaths in adult correctional facilities. The DCRP collects data on persons dying in state prisons, local jails and in the process of arrest. Each collection is a separate subcollection, but each is under the umbrella of the DCRP collection. The DCRP collects inmate death records from each of the nation's 50 state prison systems and approximately 2,800 local jail jurisdictions. In addition, this program collects records of all deaths occurring during the process of arrest. Data are collected directly from state and local law enforcement agencies. Death records include information on decedent personal characteristics (age, race or Hispanic origin, and sex), decedent criminal background (legal status, offense type, and time served), and the death itself (date, time, location, and cause of death, as well as information on the autopsy and medical treatment provided for any illness or disease). This data collection represents a single year of DCRP Jails data. The variable names and coding, while similar to other years, have not been standardized across years. The concatenated multi-year versions of the DCRP Jails population data have been edited to correct outliers and other data anomalies. Researchers are encouraged to use the concatenated multi-year data for final jail population data. Deaths of individuals in jails. Smallest Geographic Unit: county paper and pencil interview (PAPI)

Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.