Data Resources

Visit this page regularly for updates on data resources and archives.

Add Health CPC Data Portal and use the “Request More Data” button to order this dataset. For more information on the CPC Data Portal, please visit the Frequently Asked Questions page. 

Add Health

The following data are now available to Add Health contract researchers. 

The Rural-Urban Commuting Area (RUCA) Codes
Rural-urban commuting area (RUCA) codes classify U.S. census tracts using measures of population density, urbanization, and daily commuting. The data file including them is based on RUCA codes for census years 1990, 2000, and 2010. The rationale for and utility of acquiring RUCA codes, assigning them to census geographies in which Add Health respondents have resided over three decades. N=97,700

Add Health Sample Member Birth Records Database
Birth record data was collected from participating states for AHSM birth years, 1974-83. When these states provided birth data for all recorded births occurring during that time interval, an AHSM-specific subset was created using Link Plus, a statistical linkage software developed by the U.S. Centers for Disease Control and Prevention (CDC), Cancer Division. One participating state performed its own AHSM linkages and provided Add Health with the linked subset of births. Add Health then performed transformations on all of the original data from the participating states to create the categorical variables present in this release. N=2,750

Aircraft Noise Measures
Day-Night Level (DNL) Noise Exposures from 90 Major Airports data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=83,357

Equivalent Sound Level for a 15-Hour Day (LAEQD) Noise Exposures from 90 Major Airports data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=73,174

Equivalent Sound Level for a 9-Hour Night (LAEQN) Noise Exposures from 90 Major Airports data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=57,886

Proxies for Aircraft Noise from Other Airports: Airport Counts data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=166,195

Proxies for Aircraft Noise from Other Airports: Mean Distances data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=256,318

Proxies for Aircraft Noise from Other Airports: Mean Total Enplanements data contains the estimation of aircraft noise measures around ninety major airports and aircraft noise proxies for approximately 900 additional airports. Merged with geopositioned/geocoded Add Health respondent locations over Waves I-VI, it also documents how the aircraft noise source data were acquired, as well as the protocol for quality controlling their assignment across waves. N=250,740

Mortality Surveillance
Individual Vital Status and Underlying Cause of Death File, 2022
This file contains one record for each of the 20,745 Add Health sample members from Wave I. It provides the vital status of each sample member through 2022 as well as the National Death Index-provided underlying cause of death code in ICD-10 format for each decedent. The month and year of the most recent Add Health interview are provided for living sample members, while the month and year of death are provided for decedents. N=20,745

Ordered Cause of Death File, 2022
This file contains entity- and record-axis codes reported by the National Death Index (NDI) for each decedent in the Add Health sample through 2022. The file is arranged hierarchically, by axis code; therefore, each decedent may have multiple records depending on the maximum number of entity- and record-axis codes recorded by NDI. The sequence of the decedent’s records reflects the order in which the entity- and record-axis codes were reported in the NDI record. N=2,377

All Coded Causes of Death File, Including Entity-Axis Codes, 2022
This file contains all underlying cause of death and entity-axis codes appearing in the National Death Index (NDI) source file through 2022. Functioning as dummy variables, zero represents the absence of a code on the decedent’s death certificate, while one denotes the presence of one. N=706

All Coded Causes of Death File, Including Record-Axis Codes, 2022
This file contains all underlying cause of death and record-axis codes appearing in the National Death Index (NDI) source file through 2022. Functioning as dummy variables, zero represents the absence of a code on the decedent’s death certificate, while one denotes the presence of one.  N=706

Contextual Heterosexism Database-Phase 1
Contextual Heterosexism Database-Phase 1 (CHD1), further expands the collection of contextual data available to users of The National Longitudinal Study of Adolescent to Adult Health (Add Health) through the provision of state, county, and tract level measures from the Decennial Census of Population and Housing, American Community Survey (ACS), the Movement Advancement Project (MAP), Lax and Phillips (2009), Public Religion Research Institute (PRRI), Cooperative Election Study (CES), U.S. Religion Census, and Massachusetts Institute of Technology (MIT) Election Lab. These data include indicators of social policies, social climate, and confounding factors related to the study/measurement of structural heterosexism that correspond to Waves 3, 4, and 5. Some of these indicators are new to the Add Health contextual database and others were previously not available at all three of these waves. N=18,352

Current Add Health investigators can log in to the CPC Data Portal and use the “Request More Data” button to order these datasets. 

For more information on the CPC Data Portal, please visit the Frequently Asked Questions page. 

Add Health

The National Longitudinal Study of Adolescent to Adult Health In collaboration with the UNC Chief Information Officer and the Research Computing Unit at the University of North Carolina – Chapel Hill, Add Health is making the UNC Secure Research Workspace (UNC SRW) available for restricted-use contract researchers to analyze Add Health data in UNC’s enterprise secure data enclave free of charge. This is a major upgrade to the way Add Health is disseminating restricted-use data and we think will be very helpful for users of restricted-use Add Health data all over the world. In a nutshell, this means we will phase out “pushing data out” to the user community. Instead, contract users will use Add Health data by logging in to the SRW at UNC. This should make using Add Health data easier for the user community. Moreover, it will help keep Add Health data more secure in our efforts to maintain the strict confidentiality of our participants. Use of the UNC SRW is free. More information and how to access the SRW can be found on our website. We will continue to put tremendous effort into collecting and disseminating great data for the scientific community. Please contact us at addhealth_contracts@unc.edu if you have questions or concerns regarding our transition to the UNC SRW.

Harmonized Malaria Indicator Survey (MIS) Data Now in IPUMS DHS Malaria is a pressing global health problem, with nearly 250 million malaria cases in 2022, according to the World Health Organization. Approximately 95 percent of malaria deaths were in Africa, with three-quarters of those deaths to children under 5. Climate change is increasing the transmission of mosquito-borne diseases, such as malaria. When IPUMS DHS recently received supplemental funding to support research on Climate Change Effects on Health, adding data on malaria was a top priority. Specifically, IPUMS DHS chose to integrate data from the DHS Malaria Indicator Surveys (MIS).

ICPSR. ICPSR at University of Michigan maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts 21 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields.

National Couples’ Health and Time Study Data (NCHAT; N = 3,642 main respondents and N = 1,515 partner/spouses) is the first population-based study of couples that contains large representative samples of individuals who are racial and ethnic diverse and sexual and gender diverse. NCHAT main respondent survey data, funded by NICHD, are now publicly available from the Data Sharing for Demographic Research at ICPSR. Users can also apply to use the restricted data, for free, through DSDR on a virtual data enclave. There is a free virtual training workshop on August 18th, registration details can be found here. Users can learn more about the data in this working paper. NCHAT was collected during the COVID-19 pandemic and included adults in the US who ranged in age from 20-60 years old, who were married or cohabiting, and who were able to read English or Spanish. NCHAT includes dyadic survey, time diary, experience sampling methods, and geospatial data. NCHAT is uniquely suited to address COVID, stress, family functioning, and physical and mental health and includes an abundance of contextual and acute measures of race and racism, sexism, and cis-heterosexism. NCHAT includes a full household roster and marital and cohabitation histories. The gender neutral surveys are available in English and Spanish on the NCHAT website.

National Historical Geographic Information System (NHGIS) provides easy access to summary tables and time series of population, housing, agriculture, and economic data, along with GIS-compatible boundary files, for years from 1790 through the present and for all levels of U.S. census geography, including states, counties, tracts, and blocks. Over 1,300 new tables are now available for geographic areas with 65,000 or more residents. NHGIS has added the 2021 1-Year Summary File from the American Community Survey (ACS) and has also completed over 1,400 updates in the “context fields” for selected summary datasets, including area measures, geographic coordinates, data suppression flags, and geographic class codes (e.g., incorporated vs. unincorporated places). Read more.

National Voter File. BU has has acquired a three-year subscription to a national voter file for the United States. These data, which are from the commercial data vendor L2, includes records on over 200 million voters plus 2.3 billion voter history records.  Questions should be directed to Maxwell Palmer (mbpalmer@bu.edu).

New Jersey Integrated Population Health Data (iPHD) Project We are pleased to share the third Request for Applications (RFA) in 2024. Applicants can apply for access to any of the five data sets currently available, and the iPHD Project will also provide competitive opportunities for up to four (4) full or partial data access fee waivers for researchers based in NJ. Click the button to view the RFA!

🗓️ Application Deadline: October 16, 2024: Letters of intent due to iphd@ifh.rutgers.edu (required); iPHD application submission portal open, November 6, 2024: Full applications due; iPHD application submission portal closes.

U.S. Census Bureau Small Area Income and Poverty Estimates 2019 School District Profile Interactive Tool. Released in October 2021, this data visualization dashboard provides information on every one of the nation’s more than 13,000 school districts as defined in the 2020 School District Review Program.