Showing 1 – 50 of 13,715 results.
Self-published
100% Clean Electricity by 2035 Study (ICPSR 245196)
Released/updated on: 2026-02-12
This study examined what it would take to achieve a net-zero U.S. power grid by 2035 based on different technology cost and performance assumptions. Read the complete findings in an NREL technical report and learn more about the study on NREL.gov.
Self-published
100 CLT UK Projects (ICPSR 194581)
Released/updated on: 2023-10-19
The study data
was acquired from an industry report prepared by Waugh and Thistleton (2018) and funded by the Softwood Lumber
Board & Forestry Innovation Investment. The report is entitled “100 UK CLT
Projects” and showcased a wide array of CLT projects between the years 2005 and
2018. For each project, the following information is provided: general
description of the project, schematic drawings, project renderings or real
photos, abstract construction data, the project type, the project team, and the
structure type. This study depended mainly on the project team composition data.
The team of each project included a firm or more of the following stakeholders:
architect, structural engineer, main contractor, timber engineer, timber
contractor, and timber manufacturers.
The
report information was coded in a tabular format to capture the structure type
and the collaborating team data for each project. First, a project data table
was created to assign each project a unique identification number and provide
the following data fields: structure type and the project team firms. It should
be noted that some project teams involved multiple firms of the same
stakeholder type, e.g. a large or complex project may involve multiple
architects, engineers or main contractors. Second, the unique firm instances
are filtered from the project records and assigned unique identification
numbers. Third, a data matrix structure was created to relate each project (as
rows) to the involved team stakeholder firm (as columns). There were a total of
261 project stakeholders involved in these projects, including: 73
architecture, 58 structural engineering, 74 main contracting, 31 timber
engineering, 10 timber contracting, and 15 timber manufacturing companies. To
perform the longitudinal analysis, the projects and their stakeholder firms
were organized in four time periods.
Self-published
10(j) Injunctions (ICPSR 226824)
Released/updated on: 2025-04-15
Time period: 2010-01-01--2025-01-01
Section 10(j) of the National Labor Relations Act authorizes the National Labor Relations Board to seek temporary injunctions against employers and unions in federal district courts to stop unfair labor practices while the case is being litigated before administrative law judges and the Board. These temporary injunctions are needed to protect the process of collective bargaining and employee rights under the Act, and to ensure that Board decisions will be meaningful. The section was added as part of a set of reforms to the Act in 1947. Over the years, all NLRB General Counsels have made use of this effective enforcement tool, as shown in this chart.
There are 15 categories of labor disputes in which Section 10(j) injunctions may be appropriate, listed at [https://www.nlrb.gov/what-we-do/investigate-charges/10j-injunctions/section-10j-categories]. Under NLRB processes, potential cases are identified by Regional Offices and reviewed by the General Counsel, who must seek authorization from the Board before proceeding to court.
The csv contains Authorization Dates, Case Numbers, Case Names, and Injunction Status as of the date collected (2025-04-07). This list is all 10(j) injunction cases authorized by the Board since September 1, 2010.
There are 15 categories of labor disputes in which Section 10(j) injunctions may be appropriate, listed at [https://www.nlrb.gov/what-we-do/investigate-charges/10j-injunctions/section-10j-categories]. Under NLRB processes, potential cases are identified by Regional Offices and reviewed by the General Counsel, who must seek authorization from the Board before proceeding to court.
The csv contains Authorization Dates, Case Numbers, Case Names, and Injunction Status as of the date collected (2025-04-07). This list is all 10(j) injunction cases authorized by the Board since September 1, 2010.
Self-published
1968-98 Civil Rights Data Collection (ICPSR 219621)
Released/updated on: 2025-02-15
Time period: 1968-01-01--1998-01-01
The Civil Rights Data Collection (CRDC), formerly administered as the Elementary and Secondary School Civil Rights Survey, is an important part of the U.S. Department of Education's (Department) Office for Civil Rights (OCR) strategy for administering and enforcing civil rights laws in the nation’s public school districts and schools. The CRDC collects a variety of information including student access to rigorous courses, programs, resources, instructional and other school staff, and school climate factors such as student discipline and harassment and bullying. Much of the data is disaggregated by race/ethnicity, sex, disability and whether students are English Learners.
Since the 2011–12 school year, OCR has collected data from all public districts and their schools in the 50 states and Washington, DC. Over time the CRDC’s collection universe has grown to include long-term secure justice facilities, charter schools, alternative schools, and special education schools that focus primarily on serving students with disabilities. OCR added the Commonwealth of Puerto Rico to the CRDC, beginning with the 2017-18 CRDC. From 1968 to 2010, civil rights data were collected from a sample of public districts and their schools, except for the 1976 and 2000 collections, which included data from all public schools and districts.The purpose of the CRDC Archival Download Tool (Archival Tool) is to make the Department’s civil rights data from 1968 to 1998 publicly available. The Archival Tool organizes civil rights data by year, and provides users with access to the data, survey forms, and other relevant documentation. The tool also includes documentation on key historical CRDC data changes from 1968 to 1998. Users may extract district-level civil rights data.
Since the 2011–12 school year, OCR has collected data from all public districts and their schools in the 50 states and Washington, DC. Over time the CRDC’s collection universe has grown to include long-term secure justice facilities, charter schools, alternative schools, and special education schools that focus primarily on serving students with disabilities. OCR added the Commonwealth of Puerto Rico to the CRDC, beginning with the 2017-18 CRDC. From 1968 to 2010, civil rights data were collected from a sample of public districts and their schools, except for the 1976 and 2000 collections, which included data from all public schools and districts.The purpose of the CRDC Archival Download Tool (Archival Tool) is to make the Department’s civil rights data from 1968 to 1998 publicly available. The Archival Tool organizes civil rights data by year, and provides users with access to the data, survey forms, and other relevant documentation. The tool also includes documentation on key historical CRDC data changes from 1968 to 1998. Users may extract district-level civil rights data.
Important Consideration: Past collections and publicly released reports may contain some terms that readers may consider obsolete, offensive and/or inappropriate. As part of the Department’s goal to be open and transparent with the public, we are providing access to all civil rights data in its original format.Privacy notice:
The Department of Education’s Disclosure Review Board determined that the CRDC files for 1968-1998 are safe for public “re-release” under the Family Educational Rights and Privacy Act (FERPA) (20 U.S.C. § 1232g; 34 CFR Part 99).
Self-published
1973 Consolidated Development Directory, HUD (ICPSR 174641)
Released/updated on: 2022-07-07
Time period: 1936-01-01--1973-01-01
This data was manually entered from the Consolidated Development Directory (Report S-11A), published by the Department of Housing and Urban Development, Housing Production and Mortgage Credit, Statistical Operations Branch on June 30, 1973. It contains development information on all low-rent housing projects administered by FHA.
The CDD was viewed on microfiche (506 pages), with page 372 missing and some entries blurry to varying degrees. Data was rarely too difficult to read, whenever possible blurry or incomplete numbers were filled to the best of our ability. US States and Washington DC was digitized – US territories were not. County in the digitized spreadsheet was also added manually. When a city spanned multiple county lines and was not specified in the original spreadsheet, projects were assigned to the city’s primary county. Counties for New York City and Kansas City, MO were simply classified as missing. This directory is issued annually and replaced the June 1972 issue of the Consolidated Development Directory (S-11A).
The CDD was viewed on microfiche (506 pages), with page 372 missing and some entries blurry to varying degrees. Data was rarely too difficult to read, whenever possible blurry or incomplete numbers were filled to the best of our ability. US States and Washington DC was digitized – US territories were not. County in the digitized spreadsheet was also added manually. When a city spanned multiple county lines and was not specified in the original spreadsheet, projects were assigned to the city’s primary county. Counties for New York City and Kansas City, MO were simply classified as missing. This directory is issued annually and replaced the June 1972 issue of the Consolidated Development Directory (S-11A).
Self-published
1998-2023 Serotype Data for Invasive Pneumococcal Disease Cases by Age Group from Active Bacterial Core surveillance (ICPSR 243434)
Released/updated on: 2026-01-11
CDC monitors invasive bacterial infections that cause bloodstream infections, sepsis, and meningitis in persons living in the community through Active Bacterial Core surveillance (ABCs). ABCs conducts laboratory- and population-based surveillance for invasive pneumococcal disease (IPD). ABCs serotype data are used to measure the impact of vaccine use in the United States on vaccine-type IPD.
This table reports IPD case counts in the ABCs catchment area by serotype for years 1998 through 2023. Cases are grouped into the following mutually exclusive age groups: age <2 years old, age 2–4 years old, age 5–17 years old, age 18–49 years old, age 50–64 years old, and age ≥65 years old. Cases are reported by ABCs surveillance site (noted as the 2-letter state abbreviation). Combined data for all ABCs sites are labeled as “All_Sites”.
ABCs methods and surveillance areas reporting IPD cases have changed over time. Given these changes, trends in serotype distribution by year, age group, and site should be interpreted with caution. Analyze and visualize data using the ABCs Bact Facts Interactive Data Dashboard.
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Self-published
19th century Hebrew Press Reuse Network (ICPSR 231662)
Released/updated on: 2025-06-01
Time period: 1856-01-01--1897-12-31
This dataset supports a study of textual reuse in the Hebrew-language press between 1856 and 1897—a period during which Jewish communities, dispersed across Europe, the Middle East, and the Americas, created a shared communicative infrastructure through Hebrew newspapers.
The dataset includes approximately 130,000 articles drawn from 13 Hebrew-language periodicals, digitally processed and compared using a Hebrew-language plagiarism detection tool (Originality). It identifies over 300,000 instances of sentence-level reuse between articles, with metadata on source and target journals, the number of shared sentences, and time lags. Only reuse between Hebrew texts was analyzed; translations from non-Hebrew sources were excluded. By mapping these intertextual connections, the project reconstructs a transnational media network that functioned as a global Jewish “town square.” The data enables exploration of editorial behavior, thematic clustering, and the role of journalism in diasporic identity formation.
The dataset includes approximately 130,000 articles drawn from 13 Hebrew-language periodicals, digitally processed and compared using a Hebrew-language plagiarism detection tool (Originality). It identifies over 300,000 instances of sentence-level reuse between articles, with metadata on source and target journals, the number of shared sentences, and time lags. Only reuse between Hebrew texts was analyzed; translations from non-Hebrew sources were excluded. By mapping these intertextual connections, the project reconstructs a transnational media network that functioned as a global Jewish “town square.” The data enables exploration of editorial behavior, thematic clustering, and the role of journalism in diasporic identity formation.
Self-published
2000 Civil Rights Data Collection (ICPSR 219643)
Released/updated on: 2025-02-15
Time period: 2000-01-01--2000-12-01
These files are state and national projections for the Civil Rights Data Collection. The 2000 projections are based on the 14,716 public school districts and 88,882 schools in these school districts that responded to the 2000 survey of all the nation's school districts. The state and national estimations were prepared for OCR in accordance with statistical methodology for the Civil Rights data collection. Documentation is available from OCR which describes the procedures used for the estimations, including weighting of the sample, imputation for item non-response, standard errors, and quality control procedures. In addition, documentation is available from OCR for estimations that should be used with caution due to large statistical uncertainty in the estimate, including factors which contributed to the extent of this statistical uncertainty for the Civil Rights Data Collection. This hardcopy documentation, available upon request, is contained in " Civil Rights Data Collection (CRDC) Estimations and Documentation."
Self-published
2000 Yearbook of Immigration Statistics (ICPSR 238161)
Released/updated on: 2025-09-23
Time period: 2019-10-01--2020-09-30
The 2000 Yearbook of Immigration Statistics is a collection of tables about immigration for the fiscal year. The yearbook tables include data about:
- Foreign nationals who came to the United States during a fiscal year. This includes lawful permanent residents, temporary visitors (nonimmigrants), refugees and asylees, and naturalizations.
- Immigration enforcement actions, including alien apprehensions, removals, and returns.
Self-published
2001 Residential Financial Survey (ICPSR 218541)
Released/updated on: 2026-03-12
Time period: 1991-01-01--2001-01-01
The 2001 Residential Finance Survey (RFS) was sponsored by the Department of Housing and Urban Development (HUD) and conducted by the Census Bureau. The RFS is a follow-on survey to the 2000 decennial census designed to collect, process, and produce information about the financing of all nonfarm, residential properties. Previous RF surveys have been integral parts of the decennial censuses since 1950. Primary users of RFS data in addition to HUD include the Bureau of Economic Analysis, Fannie Mae and Freddie Mac, and the Congress. Data are collected, tabulated, and presented for properties, the standard unit of reference for financial transactions related to housing. In the RFS, a property is defined as all the buildings and land covered by a single first mortgage. The sample for the RFS is stratified by property size, with large properties overrepresented in the sample. Very large properties are selected with certainty to control their effect on the reliability of the estimates. The RFS is the only standardized single source of detailed information on property, mortgage, and financial characteristics for multiunit properties. Both property owners and mortgage lenders are interviewed, resulting in more accurate information on property and mortgage characteristics. As part of the decennial census, the RFS is mandatory. This is important in collecting information from mortgage lenders.
***
Microdata: Yes
Level of Analysis: Group - corporations
Variables Present: Yes
File Layout: .xslx
Codebook: Yes - .xlsx
Methods: Partial -
link: https://www.novoco.com/publicmedia/documents/cdfi_fund_nmtc_public_data_release_112818.pdf
link: https://www.novoco.com/publicmedia/documents/cdfi_fund_nmtc_public_data_release_112818.pdf
Weights (with appropriate documentation): n/a
Publications: Yes
Aggregate Data: Yes - pdf
Self-published
2003 National Immunization Survey (ICPSR 101387)
Released/updated on: 2025-08-08
Time period: 2003-01-01--2003-01-01
This survey is part of a series that was designed to track
the rates of proper vaccination of children in the United States. The
target age range for the children was 19 to 35 months. Respondents were
queried on the number of children present in the household between the
ages of 12 months and 3 years, their dates of birth, their sex, whether
there were vaccination records for the children, whether those records
were accessible, whether the respondent was the adult in the household
most knowledgeable about the vaccinations, and whether the respondent
accompanied the children to more than 50 percent of their vaccinations.
For each child in the household, information was gathered on whether
each child had received all of the recommended vaccinations, and the
number of the diphtheria-tetanus-pertussis shots (DTP or DT), polio
vaccinations, measles vaccinations, meningitis or Haemophilus Influenzae
type B (HIB) shots, varicella (chicken pox) vaccinations, rotavirus
shots, pneumococcal shots, and hepatitis B (Hep B) shots each child had
received. Further information was obtained about additional vaccinations
the child may have received to combat diseases such as tuberculosis,
typhoid, yellow fever, and malaria, the child's health care providers,
the number of doctors that had performed vaccinations, and whether the
measles vaccination was strictly for measles or for the
measles-mumps-rubella (MMR) combination. Additional information was
gathered regarding whether the child received benefits from the
nutrition and health program for Woman, Infants, and Children (WIC),
what age the child began receiving WIC benefits, whether the child's
vaccination records were checked at the WIC certification visit, and
whether these benefits had ever been interrupted for six months or more.
Once parental consent was obtained, health care providers were queried
on the vaccination records for each child whose vaccination information
was gathered from parents. Health care providers were queried on the
type and the level of detail of the vaccination records for each child,
the dates and types of vaccinations administered, the date of each
child's first visit to that provider regardless of reason, the date of
the child's most recent visit to that provider regardless of reason, and
the type of care the provider gave to the child. Health care provider
respondents were asked to describe their facility, to give their
position within the facility, the child's date of birth, according to
their records, and whether the child was known by another last name, and
to provide a list of any additional health care providers for that
child. Demographic information provided by the parents or guardians
includes the number of people living in the household, the number of
people over and under 18 in the household, respectively, the number of
children under the age of 12 months, ethnicity of respondent and child,
marital status of the respondent, respondent's relationship to the
child, respondent's educational level or that of the child's mother, the
date of birth of the child's mother, household income, and whether the
child was living at the same address as when he or she was born.
"***
Microdata: Yes
Level of Analysis: Households
Variables Present: Yes - Separate Document
File Layout: .dat
Codebook: Yes
Methods: Yes
Weights (with appropriate documentation): Yes
Publications: No
Aggregate Data: Yes"
Self-published
2004 Civil Rights Data Collection (ICPSR 219642)
Released/updated on: 2026-03-09
Time period: 2004-01-01--2004-12-01
These files are state and national estimations for the Civil Rights Data Collection. The 2004 estimations are based on a rolling stratified sample of approximately 6,000 districts and 60,000 schools, and on reported data from those districts that responded to the survey. Documentation is available from OCR which describes the procedures used for the estimations, including weighting of the sample, imputation for item non-response, standard errors, and quality control procedures. In addition, documentation is available from OCR for estimations that should be used with caution due to large statistical uncertainty in the estimate, including factors which contributed to the extent of this statistical uncertainty for the Civil Rights Data Collection. This hardcopy documentation, available upon request, is contained in "Civil Rights Data Collection (CRDC) Estimations and Documentation."
***
Microdata: No
Level of Analysis: State/national
Variables Present: Yes
File Layout: .xls (aggregated data)
Codebook: No
Methods: No
Weights (with appropriate documentation): n/a
Publications: No
Aggregate Data: No
Self-published
2006 Civil Rights Data Collection (ICPSR 219641)
Released/updated on: 2026-03-09
Time period: 2006-01-01--2006-12-01
These files are state and national estimations for the Civil Rights Data Collection. The 2006 estimations are based on a rolling stratified sample of approximately 6,000 districts and 60,000 schools, and on reported data from those districts that responded to the survey. Documentation is available from OCR which describes the procedures used for the estimations, including weighting of the sample, imputation for item non-response, standard errors, and quality control procedures. In addition, documentation is available from OCR for estimations that should be used with caution due to large statistical uncertainty in the estimate, including factors which contributed to the extent of this statistical uncertainty for the Civil Rights Data Collection. This hardcopy documentation, available upon request, is contained in "Civil Rights Data Collection (CRDC) Estimations and Documentation."
***
Microdata: No
Level of Analysis: State/national
Variables Present: Yes
File Layout: .xls (aggregated data)
Codebook: No
Methods: No
Weights (with appropriate documentation): n/a
Publications: No
Aggregate Data: No
Self-published
2008 Abortion Patient Survey (ICPSR 152081)
Released/updated on: 2022-04-04
Time period: 2008-01-01--2009-01-01
The 2008 Abortion Patient Survey is the Guttmacher Institute’s fourth in a series and uses a design and questionnaire similar to the four earlier studies, which were conducted in 1987, 1994–1995, 2000–2001. The data are from women obtaining abortions at a nationally representative sample of health facilities in 2008. A total of 9,493 abortion patients at 95 facilities provided information about demographic characteristics, contraceptive use in the month they became pregnant, health insurance coverage, how they were paying for abortion services, foreign-born status, happiness about the current pregnancy, knowledge about the pregnancy, abortion-related stigma, and other topics.
Self-published
2009-10 Civil Rights Data Collection (ICPSR 219603)
Released/updated on: 2026-03-12
Time period: 2009-01-01--2010-01-01
The CRDC has generally been collected biennially from public school districts in each of the 50 states and the District of Columbia. Data are collected for each school in the districts included in the survey. For the first time, the 2009-10 CRDC was collected in two parts. Part 1 is “snapshot” data related to enrollment and Part 2 is cumulative and "end-of-year”results” data. The 2009-10 CRDC contains information from a sample of about 7,000 school districts and over 72,000 schools in those districts.
***
Microdata: Yes
Level of Analysis: Local - school
Variables Present: Partial - just variable names and reserved code
File Layout: .xslx
Codebook: Yes - .docx
Methods: Yes - .docx
Weights (with appropriate documentation): Yes - .docx
Publications: No
Aggregate Data: No
Self-published
2009-2013 5-Year American Community Survey: Commuting Flows (ICPSR 100616)
Released/updated on: 2025-08-08
Among other questions related to the work commute, the American Community Survey (ACS) asks respondents about their primary workplace location. Workplace information is crucial for understanding the degree of interconnectedness among our nation's communities and it shapes the contours of metropolitan and micropolitan statistical areas. The U.S. Census Bureau's publicly available ACS tables present information about where people work by both residence-based and workplace-based data products, but information about the residence/workplace relationship is not provided as an origin-destination combination. A more complex story about commuting patterns emerges when residence location and workplace location are coupled, generating a "commuting flow." This page provides commuting flow data from the decennial Census and ACS, some of which has been produced for the purpose of redefining metropolitan and micropolitan statistical areas.
From https://www.census.gov/hhes/commuting/data/commutingflows.html as of March 29, 2017.
This archive contains the files derived by the Census Bureau from the 2009-2013 5-year American Community Survey. XLSX files are provided as downloaded from the Census Bureau on March 29, 2017.
File format conversions (XLSX -> CSV) were performed by Lars Vilhuber, Labor Dynamics Institute, Cornell University.
***
Microdata: Yes
Level of Analysis: Workers
Variables Present: Yes
File Layout: .csv, .xslx
Codebook: Yes
Methods: Yes
Weights (with appropriate documentation): Yes
Publications: No
Aggregate Data: No
From https://www.census.gov/hhes/commuting/data/commutingflows.html as of March 29, 2017.
This archive contains the files derived by the Census Bureau from the 2009-2013 5-year American Community Survey. XLSX files are provided as downloaded from the Census Bureau on March 29, 2017.
File format conversions (XLSX -> CSV) were performed by Lars Vilhuber, Labor Dynamics Institute, Cornell University.
***
Microdata: Yes
Level of Analysis: Workers
Variables Present: Yes
File Layout: .csv, .xslx
Codebook: Yes
Methods: Yes
Weights (with appropriate documentation): Yes
Publications: No
Aggregate Data: No
Self-published
Restricted
2009 Federal Stimulus Package Certification Study (ICPSR 100021)
Released/updated on: 2016-08-19
Time period: 2009-02-01--2009-04-30
This study file consists of data and metadata related to the timing of state certifications of the American Reinvestment and Recovery Act of 2009, known as the “stimulus package.” The first file is a Stata data file (.dta) consisting of 18 state-level political, economic, and demographic variables, including the number of days each state considered whether to certify the ARRA and the date on which each state certified the ARRA. The data are in an event history analysis format that corresponds to the 45-day period states were permitted to decide whether to certify their intent to receive ARRA funds. The second file is a State do file (.do) containing the syntax for models and diagnostic tests reported in Miller, Edward A., and David Blanding. 2012. “Pressure Cooker Politics: Partisanship and Symbolism in State Certification of Federal Stimulus Funds.” State Politics and Policy Quarterly 12 (1): 58 – 74. A detailed description of data sources can be found in the same publication.
Self-published
2009 National Survey of Reproductive and Contraceptive Knowledge (ICPSR 164142)
Released/updated on: 2022-03-31
Time period: 2009-01-01--2009-12-31
This survey was the first of its kind
to focus in depth on the attitudes and behavior of unmarried young adults
regarding pregnancy planning, contraception, and related issues. Commissioned
by The National Campaign to Prevent Teen and Unplanned Pregnancy and conducted
by the Guttmacher Institute, the survey gathered detailed results from a
nationally representative probability sample of 1,800 unmarried men and women
aged 18–29. The survey collected information on unmarried young adults’
sources of information about birth control, knowledge, attitudes and behaviors
regarding pregnancy risk and contraceptive methods, experience with sex
education, relationships and pregnancy experiences, and demographic
characteristics.
Self-published
2010 Census Demonstration Data Products (ICPSR 115227)
Released/updated on: 2019-11-21
To help data users understand how differential privacy may or may not impact data products they are used to receiving, the Census Bureau created demonstration data products for review. This set of data products demonstrate the current computational capabilities of the 2020 Disclosure Avoidance System (DAS). The products include the 2010 Demonstration Public Law 94-171 (P.L. 94-171) Redistricting Data Summary File and the Demographic and Housing Demonstration File.
The files apply the DAS to the 2010 Census confidential data — that is, the unprotected data from the 2010 Census that are not available publicly. Note that the published 2010 Census data were protected using the traditional statistical disclosure avoidance procedures such as swapping and suppression.
The Census Bureau encourages data users and data scientists to examine the products and provide feedback as they continue to develop and fine-tune disclosure avoidance systems. They are releasing these products to encourage independent analyses from the data user community and a robust, open, data-driven dialogue.
The files apply the DAS to the 2010 Census confidential data — that is, the unprotected data from the 2010 Census that are not available publicly. Note that the published 2010 Census data were protected using the traditional statistical disclosure avoidance procedures such as swapping and suppression.
The Census Bureau encourages data users and data scientists to examine the products and provide feedback as they continue to develop and fine-tune disclosure avoidance systems. They are releasing these products to encourage independent analyses from the data user community and a robust, open, data-driven dialogue.
Self-published
2010 Survey of U.S. Publicly Funded Family Planning Clinics (ICPSR 163961)
Released/updated on: 2022-03-31
Time period: 2010-01-01--2011-12-01
The Guttmacher Institute
has a long history of studying U.S. publicly funded family planning clinics and
conducting sample surveys to better understand and document the clinic
network’s range of service delivery practices and the challenges it faces.
These data are from a survey of a nationally representative sample of publicly
funded family planning clinics conducted in 2010–2011 and are both an extension
of earlier surveys and an investigation of new topic areas relevant to the
provision of clinic services today.
A total of 664 publicly funded
family planning clinics in the U.S. provided information about the types of contraceptive
methods and related services offered onsite and through referral; service
delivery practices and protocols, particularly those that have the potential to
affect service accessibility, method initiation and continuation, and care for
patients with special needs; the types of outreach and special programs
offered; protocols and technology used for screening and testing (including for
cervical cancer and HIV); services for male partners and clients; service costs
and financial challenges; and a variety of other aspects related to clinical
practices and management.
Self-published
2011-12 Civil Rights Data Collection (ICPSR 219563)
Released/updated on: 2025-08-08
Time period: 2011-01-01--2012-01-01
Since 1968, the Civil Rights Data Collection (CRDC) has collected data on key education and civil rights issues in our nation's public schools for use by the Department of Education’s Office for Civil Rights (OCR), other Department offices, other federal agencies, and by policymakers and researchers outside of the Department. The CRDC has generally been collected biennially from school districts in each of the 50 states, and the District of Columbia. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, gender, limited English proficiency, and disability. The 2011-12 CRDC included all public schools and public school districts in the nation that serve students for at least 50% of the school day. The CRDC also includes long-term secure juvenile justice agencies, schools for the blind and deaf, and alternative schools.
***
***
Microdata: Yes
Level of Analysis: Local - school district/schools
Variables Present: Just variable names and reserved code
File Layout: .xslx
Codebook: No (variable definitions are present)
Methods: Yes
Weights (with appropriate documentation): Yes
Publications: No
Aggregate Data: No
Self-published
2012-2024 China digital infrastructure and urban digital tourism data (ICPSR 242483)
Released/updated on: 2026-01-05
Time period: 2012-01-01--2024-01-01
This dataset represents city-level panel data spanning 2012-2024, designed to explore the impact of digital infrastructure development policies on entrepreneurial activities in urban new tourism sectors. After screening, it includes 297 Chinese prefecture-level cities. The empirical data derive from three main sources: First, we used Python crawler software to collect entrepreneurial activity data from Tianyancha and Qichacha—two leading Chinese business data platforms that integrate government databases including China Judgments Online and the National Enterprise Credit Information Publicity System. These platforms have been extensively applied in economics and management research with proven reliability. Second, the list of cities implementing the Broadband China pilot program comes from MIIT-published pilot city documents. Third, control variables covering economic, financial, education, consumption, industrial, postal infrastructure, and communication levels are sourced from platforms such as EPS data, the China Urban Construction Statistical Yearbook, and the China Urban Statistical Yearbook (2013–2022), with missing values filled through linear interpolation.
Self-published
2013-14 Civil Rights Data Collection (ICPSR 219562)
Released/updated on: 2025-08-08
Time period: 2013-01-01--2014-01-01
The Public-Use Data File User’s Manual for the 2013–14 Civil Rights Data Collection (CRDC) provides documentation and guidance for users of the 2013–14 data. The manual provides information about the purpose of the study, the target population and respondents, data anomalies and considerations, differences in the restricted and public-use data, data collection procedures, the data file structure, and data processing.
Since 1968, the CRDC, formerly the Elementary and Secondary School Survey, has collected data on key education and civil rights issues in our nation's public schools for use by the U.S. Department of Education’s Office for Civil Rights (OCR) in its enforcement and monitoring efforts, by other Department of Education offices and federal agencies, and by policymakers and researchers outside the Department of Education. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, sex, limited English proficiency (LEP), and disability.
The CRDC is a biennial survey (i.e., it is conducted every other school year), and response to the survey is required by law. Data from the 2011–12 collection and prior collections back to 2000 are also available.
The 2013–14 CRDC collected data from the universe of all public school districts, also referred to as local education agencies (LEAs), and schools, including long-term secure juvenile justice facilities, charter schools, alternative schools, and schools serving students with disabilities. Data were collected for the 2013–14 school year. Data collection began in April 2015 and ended on January 8, 2016.
The CRDC data are collected pursuant to the 1980 Department of Education Organization Act and 34 CFR Section 100.6(b) of the Department of Education regulation implementing Title VI of the Civil Rights Act of 1964. The requirements are also incorporated by reference in Department regulations implementing Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Age Discrimination Act of 1975.
The CRDC is a longstanding and critical aspect of the overall enforcement and monitoring strategy used by OCR to ensure that recipients of the Department of Education’s federal financial assistance do not discriminate on the basis of race, color, national origin, sex, or disability. OCR relies on the CRDC data it receives from public school districts as it investigates complaints alleging discrimination, determines whether the federal civil rights laws it enforces have been violated, initiates proactive compliance reviews to focus on particularly acute or nationwide civil rights compliance problems, and provides policy guidance and technical assistance to educational institutions, parents, students, and others. Additionally, the data are used to report state and national estimates and trends about school characteristics, programs, services, and outcomes covered by the CRDC.
***
Microdata: Yes
Level of Analysis: Local - schools/ school district
Variables Present: Yes
File Layout: .xslx
Codebook: Yes (.txt)
Methods: Partial (see above)
Weights (with appropriate documentation): No
Publications: No
Aggregate Data: No
Since 1968, the CRDC, formerly the Elementary and Secondary School Survey, has collected data on key education and civil rights issues in our nation's public schools for use by the U.S. Department of Education’s Office for Civil Rights (OCR) in its enforcement and monitoring efforts, by other Department of Education offices and federal agencies, and by policymakers and researchers outside the Department of Education. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, sex, limited English proficiency (LEP), and disability.
The CRDC is a biennial survey (i.e., it is conducted every other school year), and response to the survey is required by law. Data from the 2011–12 collection and prior collections back to 2000 are also available.
The 2013–14 CRDC collected data from the universe of all public school districts, also referred to as local education agencies (LEAs), and schools, including long-term secure juvenile justice facilities, charter schools, alternative schools, and schools serving students with disabilities. Data were collected for the 2013–14 school year. Data collection began in April 2015 and ended on January 8, 2016.
The CRDC data are collected pursuant to the 1980 Department of Education Organization Act and 34 CFR Section 100.6(b) of the Department of Education regulation implementing Title VI of the Civil Rights Act of 1964. The requirements are also incorporated by reference in Department regulations implementing Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Age Discrimination Act of 1975.
The CRDC is a longstanding and critical aspect of the overall enforcement and monitoring strategy used by OCR to ensure that recipients of the Department of Education’s federal financial assistance do not discriminate on the basis of race, color, national origin, sex, or disability. OCR relies on the CRDC data it receives from public school districts as it investigates complaints alleging discrimination, determines whether the federal civil rights laws it enforces have been violated, initiates proactive compliance reviews to focus on particularly acute or nationwide civil rights compliance problems, and provides policy guidance and technical assistance to educational institutions, parents, students, and others. Additionally, the data are used to report state and national estimates and trends about school characteristics, programs, services, and outcomes covered by the CRDC.
***
Microdata: Yes
Level of Analysis: Local - schools/ school district
Variables Present: Yes
File Layout: .xslx
Codebook: Yes (.txt)
Methods: Partial (see above)
Weights (with appropriate documentation): No
Publications: No
Aggregate Data: No
Self-published
2013-14 Civil Rights Data Collection (CRDC) (ICPSR 100445)
Released/updated on: 2017-02-16
Time period: 2013-08-01--2014-07-31
Since 1968, the CRDC, formerly the Elementary and Secondary School Survey, has collected data on key education and civil rights issues in our nation's public schools for use by the U.S. Department of Education’s Office for Civil Rights (OCR) in its enforcement and monitoring efforts, by other Department of Education offices and federal agencies, and by policymakers and researchers outside the Department of Education. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, sex, limited English proficiency (LEP), and disability.
The CRDC is a biennial survey (i.e., it is conducted every other school year), and response to the survey is required by law. The 2013–14 CRDC collected data from the universe of all public school districts, also referred to as local education agencies (LEAs), and schools, including long-term secure juvenile justice facilities, charter schools, alternative schools, and schools serving students with disabilities. Data were collected for the 2013–14 school year. Data collection began in April 2015 and ended on January 8, 2016.
The CRDC data are collected pursuant to the 1980 Department of Education Organization Act and 34 CFR Section 100.6(b) of the Department of Education regulation implementing Title VI of the Civil Rights Act of 1964. The requirements are also incorporated by reference in Department regulations implementing Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Age Discrimination Act of 1975.
Self-published
2013-2014 PHAP Associates by State (ICPSR 244041)
Released/updated on: 2026-01-13
The map illustrates the total number of 2013 and 2014 PHAP associates in each state and U.S. territory.
Self-published
2013 to 2016 Picture of Subsidized Housing Data (ICPSR 100906)
Released/updated on: 2026-03-09
Time period: 2013-01-01--2016-01-01
Since passage of the U.S. Housing Act of 1937, the federal government has provided housing assistance to low-income renters. Most of these housing subsidies were provided under programs administered by the U.S. Department of Housing and Urban Development (HUD) or predecessor agencies. All programs covered in this report provide subsidies that reduce rents for low-income tenants who meet program eligibility requirements. Generally, households pay rent equal to 30 percent of their incomes, after deductions, while the federal government pays the remainder of rent or rental costs. To qualify for a subsidy, an applicant’s income must initially fall below a certain income limit. These income limits are HUD-determined, location specific, and vary by household size. Applicants for housing assistance are usually placed on a waiting list until a subsidized unit becomes available.Assistance provided under HUD programs falls into three categories: public housing, tenant-based, and privately owned, project-based.In public housing, local housing agencies receive allocations of HUD funding to build, operate or make improvements to housing. The housing is owned by the local agencies. Public housing is a form of project-based subsidy because households may receive assistance only if they agree to live at a particular public housing project.Currently, tenant based assistance is the most prevalent form of housing assistance provided. Historically, tenant based assistance began with the Section 8 certificate and voucher programs, which were created in 1974 and 1983, respectively. These programs were replaced by the Housing Choice Voucher program, under legislation enacted in 1998. Tenant based programs allow participants to find and lease housing in the private market. Local public housing agencies (PHAs) and some state agencies serving as PHAs enter into contracts with HUD to administer the programs. The PHAs then enter into contracts with private landlords. The housing must meet housing quality standards and other program requirements. The subsidies are used to supplement the rent paid by low-income households. Under tenant-based programs, assisted households may move and take their subsidy with them. The primary difference between certificates and vouchers is that under certificates, there was a maximum rent which the unit may not exceed. By contrast, vouchers have no specific maximum rent; the low-income household must pay any excess over the payment standard, an amount that is determined locally and that is based on the Fair Market Rent. HUD calculates the Fair Market Rent based on the 40th percentile of the gross rents paid by recent movers for non-luxury units meeting certain quality standards.The third major type of HUD rental assistance is a collection of programs generally referred to as multifamily assisted, or, privately-owned, project-based housing. These types of housing assistance fall under a collection of programs created during the last four decades. What these programs have in common is that they provide rental housing that is owned by private landlords who enter into contracts with HUD in order to receive housing subsidies. The subsidies pay the difference between tenant rent and total rental costs. The subsidy arrangement is termed project-based because the assisted household may not take the subsidy and move to another location. The single largest project-based program was the Section 8 program, which was created in 1974. This program allowed for new construction and substantial rehabilitation that was delivered through a wide variety of financing mechanisms. An important variant of project-based Section 8 was the Loan Management Set Aside (LMSA) program, which was provided in projects financed under Federal Housing Administration (FHA) programs that were not originally intended to provide deep subsidy rental assistance. Projects receiving these LMSA “piggyback” subsidies were developed under the Section 236 program, the Section 221(d)(3) Below Market Interest Rate (BMIR) program, and others that were unassisted when originally developed.Picture of Subsidized Households does not cover other housing subsidy programs, such as those of the U.S. Department of Agriculture’s Rural Housing Service, unless they also receive subsidies referenced above. Other programs such as Indian Housing, HOME and Community Development Block Grants (CDBG) are also excluded.
***
Microdata: Yes
Level of Analysis: Local - tract, county, cd, cbsa; State
Variables Present: Separate Document
File Layout: .csv
Codebook: Yes (2015)
Methods: Partial - link: https://www.huduser.gov/portal/datasets/assthsg/statedata98/descript.html#general
Weights (with appropriate documentation): Partial (included in methods link)
Publications: No
Aggregate Data: Yes
Self-published
2014 Abortion Patient Survey (ICPSR 163962)
Released/updated on: 2022-03-31
Time period: 2014-01-01--2014-12-31
The 2014
Abortion Patient Survey was the Guttmacher Institute’s fifth in a series and
uses a design and questionnaire similar to the four earlier studies, which were
conducted in 1987, 1994–1995, 2000–2001 and 2008. The data are from a
nationally representative sample of women obtaining non-hospital abortions in
2014. A total of 8,380 abortion patients provided information about the
demographic characteristics of age, race and ethnicity and educational attainment,
as well as contraceptive use in the month they became pregnant, health
insurance coverage during the time period of the abortion, how they were paying
for abortion services, foreign-born status, and how long ago they made the
appointment.
Self-published
2014 Minority Veteran Report | Department of Veterans Affairs Open Data Portal (ICPSR 222881)
Released/updated on: 2026-03-09
Time period: 2014-01-01--2014-01-01
This project includes a pdf capture of a webpage and the underlying data for the visualizations.
It is about the 2014 Minority Veteran Report, the goal of which is to gain an understanding of who our minority Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.
It is about the 2014 Minority Veteran Report, the goal of which is to gain an understanding of who our minority Veterans are, how their military service affects their post-military lives, and how they can be better served based on these insights.
***
Microdata: No
Level of Analysis: n/a
Variables Present: Yes
File Layout: n/a
Codebook: No
Methods: Yes - link: https://www.va.gov/vetdata/docs/SpecialReports/Minority_Veterans_2014.pdf
Weights (with appropriate documentation): n/a
Publications: Yes
Aggregate Data: Yes - csv
Self-published
2015 -16 Civil Rights Data Collection (ICPSR 219561)
Released/updated on: 2025-08-08
Time period: 2015-01-01--2016-01-01
Since 1968, the Civil Rights Data Collection (CRDC) has collected data on key education and civil rights issues in our nation's public schools for use by the Department of Education’s Office for Civil Rights (OCR), other Department offices, other federal agencies, and by policymakers and researchers outside of the Department. The CRDC has generally been collected biennially from school districts in each of the 50 states, and the District of Columbia. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, gender, limited English proficiency, and disability. The 2011-12 CRDC included all public schools and public school districts in the nation that serve students for at least 50% of the school day. The CRDC also includes long-term secure juvenile justice agencies, schools for the blind and deaf, and alternative schools.
***
Microdata: Yes
Level of Analysis: Local - school district/schools
Variables Present: Just Variable Names and Reserved Code
File Layout: .csv
Codebook: Yes
Methods: Yes
Weights (with appropriate documentation): No
Publications: No
Aggregate Data: No
***
Microdata: Yes
Level of Analysis: Local - school district/schools
Variables Present: Just Variable Names and Reserved Code
File Layout: .csv
Codebook: Yes
Methods: Yes
Weights (with appropriate documentation): No
Publications: No
Aggregate Data: No
Self-published
2015-2019 ACS PUMS Data for Middle Eastern and North African Health Research (ICPSR 163943)
Released/updated on: 2022-03-23
The overall purpose if to provide recent national estimates of US- and foreign-born MENA populations
Objectives:
1) To estimate the proportion of foreign-born whites from North African countries compared to other African countries;
2) To estimate the US population of MENA children (ages <18 years);
3) To estimate the US population of MENA adults (ages 18+ years); and
4) To estimate the US population of MENA older adults (ages 65+
years).
Self-published
2015 Canada Federal Election Survey Results (ICPSR 107121)
Released/updated on: 2018-11-01
This data set is created to allow researchers to analyze the 2015 Canadian Federal Election using the Dyad Ratios Algorithm on Wcalc software created by James Stimson (http://stimson.web.unc.edu/software/). (See for example Stimson, J. A. (1991). Public opinion in America: Moods, cycles, and swings (Vol. 12). Boulder, CO: Westview Press. Or Stimson, J. A. (2004). Tides of consent: How opinion movements shape American politics. Cambridge University Press.) The software Wcalc can be found here: http://stimson.web.unc.edu/software/. Each major political party in 2015 has a separate excel file containing the party's level of support in surveys. Data for the party support in polls was gathered from Wikipedia at https://en.wikipedia.org/wiki/Opinion_polling_in_the_Canadian_federal_election,_2015
Each file contains the date the survey was completed (month-day-year), the total sample size minus, percentage of the responses supporting the party in the table, and a recoded variable name. The recoded variable name corresponded with the survey firm and the question asked. The following firms are included in the datasets:
- Nanos
- Forum
- Leger
- Ipsos
- Innovative
- Angus
- Abacus
- EKOS
The excel sheets for each party support are saved as a text file. Wcalc was used to run a time series of the data. When creating the time series, daily was selected and smooth on raw data series. Wcalc produced an excel file with an average of the days, and a log file interpreting the results (see Wcalc files for the results). This was repeated for each party. The resulting CSV files show party support overtime and the log files show the Iteration History and the factor loadings.
Also included in this package is the code for the program R, which can also be used to run the Dyad Ratios Algorithm (see Extract.r.zip and ExtractDoc.pdf; Shared with permission of Dr. James Stimson).
Self-published
2016-2017; Southeastern United States; Middle School Static Digital Reading (ICPSR 195723)
Released/updated on: 2023-12-11
Time period: 2016-05-01--2017-06-01
Digital reading is ubiquitous, yet understanding digital reading processes and links to comprehension remain underdeveloped. Guided by New Literacies and Active Reading theories, this study explored the reading behaviors and comprehension of thirteen 5th graders who read static digital texts. We coded for the quantity and quality of digital reading behaviors and employed action path diagrams to connect behaviors to comprehension. We used timescape analyses to visualize how behaviors were orchestrated differently across readers. Findings showed no single behavior was related directly to comprehension, indicating varying pathways to digital reading success. Occasional re-reading seemed to support active reading and improved comprehension. Instances of students subverting expected digital tools were observed. Minor distractions like mind-wandering did not link to poor performance. This research deepens our understanding of self-monitoring and active reading in static digital contexts, offering insights for future study of more complex digital reading contexts like reading on the internet.
Self-published
2016 Annual Survey of Refugees (ICPSR 104642)
Released/updated on: 2020-02-19
Time period: 2017-01-10--2017-04-20
Since the 1980s,
the Office of Refugee Resettlement[1]
(ORR) has conducted the Annual Survey of Refugees (ASR), which collects
information on refugees during their first five years after arrival in the
U.S. The ASR is the only scientifically-collected
source of national data on refugees’ progress toward self-sufficiency and
integration. ORR uses the ASR results
alongside other information sources to fulfill its Congressionally-mandated
reporting following the Refugee Act of 1980.
Historically, the microdata from these surveys have generally been
unavailable to researchers.
In the Spring of 2017 ORR completed its 50th Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and shows the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2016 ASR with future years likely to be added to the ICPSR archive..
In the Spring of 2017 ORR completed its 50th Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and shows the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2016 ASR with future years likely to be added to the ICPSR archive..
[1] The Office of Refugee Resettlement (ORR)
at the Administration for Children and Families in the U.S. Department of
Health and Human Services (HHS) serves refugees and other humanitarian
entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa
holders, Amerasians, victims of human trafficking, and unaccompanied children.
By providing these arrived populations with critical resources, ORR promotes
their economic and social well-being. The Annual Survey of Refugees focuses
solely on those refugees who have come to the U.S. in the past five fiscal
years.
Self-published
2016 Survey of Consumer Finances (SCF) (ICPSR 105300)
Released/updated on: 2018-08-09
The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families’ balance sheets, pensions, income, and demographic characteristics. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.
Self-published
2017-18 Civil Rights Data Collection (ICPSR 219544)
Released/updated on: 2025-08-08
Time period: 2017-01-01--2018-01-01
The Public-Use Data File User’s Manual for the 2017–18 Civil Rights Data Collection (CRDC) provides documentation and guidance for users of the 2017–18 data. The manual provides information about the purpose of the study, the target population and respondents, data anomalies and considerations, differences in the restricted and public-use data, data collection procedures, the data file structure, and data processing.
Since 1968, the CRDC, formerly the Elementary and Secondary School Survey, has collected data on key education and civil rights issues in our nation's public schools for use by the U.S. Department of Education’s Office for Civil Rights (OCR) in its enforcement and monitoring efforts, by other Department of Education offices and federal agencies, and by policymakers and researchers outside the Department of Education. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, sex, limited English proficiency (LEP), and disability.
The CRDC is a biennial survey (i.e., it is conducted every other school year), and response to the survey is required by law. Data from the 2011–12 collection and prior collections back to 2000 are also available.
The 2017–18 CRDC collected data from the universe of all public school districts, also referred to as local education agencies (LEAs), and schools, including long-term secure juvenile justice facilities, charter schools, alternative schools, and schools serving students with disabilities. Data were collected for the 2017–18 school year.
The CRDC data are collected pursuant to the 1980 Department of Education Organization Act and 34 CFR Section 100.6(b) of the Department of Education regulation implementing Title VI of the Civil Rights Act of 1964. The requirements are also incorporated by reference in Department regulations implementing Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Age Discrimination Act of 1975.
The CRDC is a longstanding and critical aspect of the overall enforcement and monitoring strategy used by OCR to ensure that recipients of the Department of Education’s federal financial assistance do not discriminate on the basis of race, color, national origin, sex, or disability. OCR relies on the CRDC data it receives from public school districts as it investigates complaints alleging discrimination, determines whether the federal civil rights laws it enforces have been violated, initiates proactive compliance reviews to focus on particularly acute or nationwide civil rights compliance problems, and provides policy guidance and technical assistance to educational institutions, parents, students, and others. Additionally, the data are used to report state and national estimates and trends about school characteristics, programs, services, and outcomes covered by the CRDC.
***
Microdata: Yes
Level of Analysis: Local - school district/schools
Variables Present: Just Variable Names and Reserved Code
File Layout: .csv
Codebook: Yes
Methods: Yes
Weights (with appropriate documentation): No
Publications: No
Aggregate Data: No
Since 1968, the CRDC, formerly the Elementary and Secondary School Survey, has collected data on key education and civil rights issues in our nation's public schools for use by the U.S. Department of Education’s Office for Civil Rights (OCR) in its enforcement and monitoring efforts, by other Department of Education offices and federal agencies, and by policymakers and researchers outside the Department of Education. The CRDC collects information about school characteristics and about programs, services, and outcomes for students. Most student data are disaggregated by race/ethnicity, sex, limited English proficiency (LEP), and disability.
The CRDC is a biennial survey (i.e., it is conducted every other school year), and response to the survey is required by law. Data from the 2011–12 collection and prior collections back to 2000 are also available.
The 2017–18 CRDC collected data from the universe of all public school districts, also referred to as local education agencies (LEAs), and schools, including long-term secure juvenile justice facilities, charter schools, alternative schools, and schools serving students with disabilities. Data were collected for the 2017–18 school year.
The CRDC data are collected pursuant to the 1980 Department of Education Organization Act and 34 CFR Section 100.6(b) of the Department of Education regulation implementing Title VI of the Civil Rights Act of 1964. The requirements are also incorporated by reference in Department regulations implementing Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Age Discrimination Act of 1975.
The CRDC is a longstanding and critical aspect of the overall enforcement and monitoring strategy used by OCR to ensure that recipients of the Department of Education’s federal financial assistance do not discriminate on the basis of race, color, national origin, sex, or disability. OCR relies on the CRDC data it receives from public school districts as it investigates complaints alleging discrimination, determines whether the federal civil rights laws it enforces have been violated, initiates proactive compliance reviews to focus on particularly acute or nationwide civil rights compliance problems, and provides policy guidance and technical assistance to educational institutions, parents, students, and others. Additionally, the data are used to report state and national estimates and trends about school characteristics, programs, services, and outcomes covered by the CRDC.
***
Microdata: Yes
Level of Analysis: Local - school district/schools
Variables Present: Just Variable Names and Reserved Code
File Layout: .csv
Codebook: Yes
Methods: Yes
Weights (with appropriate documentation): No
Publications: No
Aggregate Data: No
Self-published
2017 Annual Survey of Refugees (ICPSR 117581)
Released/updated on: 2020-02-14
Time period: 2018-01-10--2018-04-07
Since the 1980s,
the Office of Refugee Resettlement[1]
(ORR) has conducted the Annual Survey of Refugees (ASR), which collects
information on refugees during their first five years after arrival in the U.S.
The ASR is the only scientifically-collected source of national data on
refugees’ progress toward self-sufficiency and integration. ORR uses the ASR
results alongside other information sources to fulfill its
Congressionally-mandated reporting requirement following the Refugee Act of
1980.
In the spring of 2018, ORR completed its 51st Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2017 ASR with future years likely to be added to the ICPSR archive. .
In the spring of 2018, ORR completed its 51st Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2017 ASR with future years likely to be added to the ICPSR archive. .
[1] The Office of Refugee Resettlement (ORR)
at the Administration for Children and Families in the U.S. Department of
Health and Human Services (HHS) serves refugees and other humanitarian
entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa
holders, Amerasians, victims of human trafficking, and unaccompanied children.
By providing these arrived populations with critical resources, ORR promotes
their economic and social well-being. Of these populations, the Annual Survey
of Refugees focuses solely on refugees who have come to the U.S. in the past
five fiscal years.
Self-published
2017 CDFI Program Awardee Performance Data Snapshot (ICPSR 225743)
Released/updated on: 2026-03-09
Time period: 2017-01-01--2017-01-01
CDFI Program and
NACA Program Awardees:
A Snapshot in 2015
Prepared by
Financial Strategies and Research
CDFI Fund
August 2017
This summary snapshot report, and the accompanying data file, is based on annual performance reports submitted in 2016 by CDFI and NACA Program Financial Assistance and Technical Assistance awardees.
– The study analyzes activities that occurred in FY 2015 as reported by a cohort of CDFI and NACA program awardees.
– Data is derived from the Institutional and Transactional Level Reports submitted to the CDFI Fund.
• The CDFI institutional level data provides key summary data and comparisons by institution type.
• The transactional data demonstrates how CDFIs target distressed communities and underserved populations throughout the United States.
August 2017
This summary snapshot report, and the accompanying data file, is based on annual performance reports submitted in 2016 by CDFI and NACA Program Financial Assistance and Technical Assistance awardees.
– The study analyzes activities that occurred in FY 2015 as reported by a cohort of CDFI and NACA program awardees.
– Data is derived from the Institutional and Transactional Level Reports submitted to the CDFI Fund.
• The CDFI institutional level data provides key summary data and comparisons by institution type.
• The transactional data demonstrates how CDFIs target distressed communities and underserved populations throughout the United States.
***
Microdata: Yes
Level of Analysis: Group - corporations
Variables Present: Yes - separate document
File Layout: .csv
Codebook: Yes - pdf
Methods: Partial -
link: https://www.cdfifund.gov/system/files/documents/cdfi-performance-2017-approval-06-14-2019_508-compli...
link: https://www.cdfifund.gov/system/files/documents/cdfi-performance-2017-approval-06-14-2019_508-compli...
Weights (with appropriate documentation): n/a
Publications: Yes
Aggregate Data: Yes - pdf
Self-published
2017 YRBS Mischievous Responders (ICPSR 115086)
Released/updated on: 2019-10-22
The data for this project correspond to Cimpian and Timmer's AERA Open paper on mischievous responders in estimates of LGBQ–heterosexual disparities using the 2017 YRBS data. Their abstract is:
Although numerous survey-based studies have found that students who identify as lesbian, gay, bisexual, or questioning (LGBQ) have elevated risk for many negative academic, disciplinary, psychological, and health outcomes, the validity of the types of data on which these results rest have come under increased scrutiny. Over the past several years, a variety of data-validity screening techniques have been used in attempts to scrub datasets of “mischievous responders,” youth who systematically provide extreme and untrue responses to outcome items and who tend to falsely report being LGBQ. We conducted a pre-registered replication of Cimpian et al. (2018) with the 2017 Youth Risk Behavior Survey (YRBS) to (1) estimate new LGBQ–heterosexual disparities on 20 outcomes; (2) test a broader, mechanistic theory relating mischievousness effects with a feature of items (i.e., item response-option extremity); and (3) compare four techniques used to address mischievous responders. Our results are consistent with Cimpian et al.’s findings that potentially mischievous responders inflate LGBQ–heterosexual disparities, do so more among boys than girls, and affect outcomes differentially. For example, we find that removing students suspected of being mischievous responders can cut male LGBQ–heterosexual disparities in half overall, and can completely or mostly eliminate disparities in outcomes including fighting at school, driving drunk, and using cocaine, heroin, and ecstasy. Methodologically, we find that some methods are better than others at addressing the issue of data integrity, with boosted regressions coupled with data removal leading to potentially very large decreases in the estimated of LGBQ–heterosexual disparities, but regression adjustment having almost no effect. While the empirical focus of this paper is on LGBQ youth, the issues discussed are relevant to research on other minority groups and youth generally, and speak to survey development, methodology, and the robustness and transparency of research.
Although numerous survey-based studies have found that students who identify as lesbian, gay, bisexual, or questioning (LGBQ) have elevated risk for many negative academic, disciplinary, psychological, and health outcomes, the validity of the types of data on which these results rest have come under increased scrutiny. Over the past several years, a variety of data-validity screening techniques have been used in attempts to scrub datasets of “mischievous responders,” youth who systematically provide extreme and untrue responses to outcome items and who tend to falsely report being LGBQ. We conducted a pre-registered replication of Cimpian et al. (2018) with the 2017 Youth Risk Behavior Survey (YRBS) to (1) estimate new LGBQ–heterosexual disparities on 20 outcomes; (2) test a broader, mechanistic theory relating mischievousness effects with a feature of items (i.e., item response-option extremity); and (3) compare four techniques used to address mischievous responders. Our results are consistent with Cimpian et al.’s findings that potentially mischievous responders inflate LGBQ–heterosexual disparities, do so more among boys than girls, and affect outcomes differentially. For example, we find that removing students suspected of being mischievous responders can cut male LGBQ–heterosexual disparities in half overall, and can completely or mostly eliminate disparities in outcomes including fighting at school, driving drunk, and using cocaine, heroin, and ecstasy. Methodologically, we find that some methods are better than others at addressing the issue of data integrity, with boosted regressions coupled with data removal leading to potentially very large decreases in the estimated of LGBQ–heterosexual disparities, but regression adjustment having almost no effect. While the empirical focus of this paper is on LGBQ youth, the issues discussed are relevant to research on other minority groups and youth generally, and speak to survey development, methodology, and the robustness and transparency of research.
Self-published
2018-2022 American Community Survey companion data files for evaluating cognitive difficulty using 2020 and 2030 US Census racial and ethnic categories (ICPSR 237213)
Released/updated on: 2025-08-14
ABSTRACT
In March 2024, the Office of Management and Budget updated guidelines for measuring race/ethnicity on federal forms in the United States (US). By March 2029, Middle Eastern and North African (MENA) Americans will have a new category. This population was previously included in the definition for the White race. It is unknown how this change will alter health estimates for other racial/ethnic groups, particularly among the aging population that has become increasingly diverse. Using cognitive difficulty as the health outcome of interest, our objectives were to 1) compare the prevalence of cognitive difficulty using 2020 and 2030 US Census racial/ethnic categories and 2) determine whether the odds of cognitive difficulty differs with and without a MENA checkbox. We used 2018-2022 American Community Survey data (ages >=65 years; n=3,351,611). We categorized race/ethnicity based on 2020 US Census categories (White, Black, AI/AN, Asian, NH/OPI, Some Other Race, Two or More Races, Hispanic/Latino) then created a separate category for older adults of MENA descent using questions on ancestry and place of birth to align with 2030 categories. Bivariate statistics and multivariable logistic regression models were calculated. Using 2020 categories, the odds of cognitive difficulty were higher among all racial/ethnic groups compared to Whites. Using 2030 categories, the odds of cognitive difficulty were 1.53 times greater (95%CI=1.43-1.62) among MENA compared to Whites. The odds of cognitive difficulty using 2020 and 2030 US Census racial/ethnic categories for other groups were not significantly different. Our results highlight the disparity in cognitive health among MENA and White older adults. Including a separate MENA checkbox on the ACS starting in 2027 is critical to provide baseline data and move forward discussions on health disparities among older adults.
In March 2024, the Office of Management and Budget updated guidelines for measuring race/ethnicity on federal forms in the United States (US). By March 2029, Middle Eastern and North African (MENA) Americans will have a new category. This population was previously included in the definition for the White race. It is unknown how this change will alter health estimates for other racial/ethnic groups, particularly among the aging population that has become increasingly diverse. Using cognitive difficulty as the health outcome of interest, our objectives were to 1) compare the prevalence of cognitive difficulty using 2020 and 2030 US Census racial/ethnic categories and 2) determine whether the odds of cognitive difficulty differs with and without a MENA checkbox. We used 2018-2022 American Community Survey data (ages >=65 years; n=3,351,611). We categorized race/ethnicity based on 2020 US Census categories (White, Black, AI/AN, Asian, NH/OPI, Some Other Race, Two or More Races, Hispanic/Latino) then created a separate category for older adults of MENA descent using questions on ancestry and place of birth to align with 2030 categories. Bivariate statistics and multivariable logistic regression models were calculated. Using 2020 categories, the odds of cognitive difficulty were higher among all racial/ethnic groups compared to Whites. Using 2030 categories, the odds of cognitive difficulty were 1.53 times greater (95%CI=1.43-1.62) among MENA compared to Whites. The odds of cognitive difficulty using 2020 and 2030 US Census racial/ethnic categories for other groups were not significantly different. Our results highlight the disparity in cognitive health among MENA and White older adults. Including a separate MENA checkbox on the ACS starting in 2027 is critical to provide baseline data and move forward discussions on health disparities among older adults.
Self-published
2018 Annual Survey of Refugees (ICPSR 131025)
Released/updated on: 2021-01-29
Time period: 2019-01-23--2019-04-17
Since the 1980s, the Office of Refugee Resettlement[1] (ORR) has conducted the Annual Survey of Refugees (ASR), which collects information on refugees during their first five years after arrival in the U.S. The ASR is the only scientifically-collected source of national data on refugees’ progress toward self-sufficiency and integration. ORR uses the ASR results alongside other information sources to fulfill its Congressionally-mandated reporting requirement following the Refugee Act of 1980.
In the spring of 2019, ORR completed its 52st Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2018 ASR with future years likely to be added to the ICPSR archive. .
In the spring of 2019, ORR completed its 52st Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2018 ASR with future years likely to be added to the ICPSR archive. .
[1] The Office of Refugee Resettlement (ORR) at the Administration for Children and Families in the U.S. Department of Health and Human Services (HHS) serves refugees and other humanitarian entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa holders, Amerasians, victims of human trafficking, and unaccompanied children. By providing these arrived populations with critical resources, ORR promotes their economic and social well-being. Of these populations, the Annual Survey of Refugees focuses solely on refugees who have come to the U.S. in the past five fiscal years.
Self-published
2018 CDFI Program Awardee Performance Data Snapshot (ICPSR 224367)
Released/updated on: 2026-03-09
Time period: 2017-10-01--2018-09-01
This pdf gives a summary of the CDFI (Community Development Financial Institutions) program and the NACA (Native American CDFI Assistance) Program datasets and the data trends for FY (fiscal year)2018.
***
Microdata: Yes
Level of Analysis: Group - corporations
Variables Present: Yes
File Layout: .csv
Codebook: Yes - pdf
Methods: Partial -
link: https://www.cdfifund.gov/system/files/2021-08/CDFIFY2018-Performance-Data.pdf
link: https://www.cdfifund.gov/system/files/2021-08/CDFIFY2018-Performance-Data.pdf
Weights (with appropriate documentation): n/a
Publications: Yes
Aggregate Data: Yes - pdf
Self-published
2018 Ghana Health Facility Survey Abortion Knowledge (ICPSR 197801)
Released/updated on: 2024-01-26
Time period: 2018-01-01--2018-01-01
These data come from a
2018 study conducted in Ghana that uses Abortion Incidence Complications
Methodology (AICM) to explore abortion incidence nationally and within each of Ghana’s
three ecological zones. As one of the two surveys used for this study, the nationally
representative Health Facilities Survey (HFS) looks at health facilities that can
potentially provide abortion and/or post-abortion care, except for
community-based health planning and services facilities and non-governmental
organizations (NGOs). HFS interviews were conducted with a senior member of the
health facility staff who was knowledgeable about their facility’s provision of
abortion and/or post-abortion abortion care, including
obstetrician-gynecologists, general practitioners, physician’s assistants,
nurses, midwives, and administrators.
Information collected from the HFS includes facility type, location, number of beds available, services offered (labor and delivery, PAC, and contraceptive counseling), equipment and methods available (including methods used to provide PAC and family planning methods), number of patients receiving abortions or post-abortion care, and respondent training, background, knowledge, and perceptions, among others. The general information module included questions on knowledge of abortion legality, perceptions surrounding unintended pregnancy, and recommendations for reducing unsafe abortion.
The dataset available in this public release contains a subset of the variables from the nationally representative HFS dataset. To better correspond with the paper that explores knowledge of abortion legality among providers[2], we retained relevant variables from the dataset including respondent training and background, respondent knowledge of abortion legality in Ghana, respondent perceptions surrounding unintended pregnancy, respondent recommendations for reducing unsafe abortion, and facility characteristics and information
Information collected from the HFS includes facility type, location, number of beds available, services offered (labor and delivery, PAC, and contraceptive counseling), equipment and methods available (including methods used to provide PAC and family planning methods), number of patients receiving abortions or post-abortion care, and respondent training, background, knowledge, and perceptions, among others. The general information module included questions on knowledge of abortion legality, perceptions surrounding unintended pregnancy, and recommendations for reducing unsafe abortion.
The dataset available in this public release contains a subset of the variables from the nationally representative HFS dataset. To better correspond with the paper that explores knowledge of abortion legality among providers[2], we retained relevant variables from the dataset including respondent training and background, respondent knowledge of abortion legality in Ghana, respondent perceptions surrounding unintended pregnancy, respondent recommendations for reducing unsafe abortion, and facility characteristics and information
Self-published
2018 Montana Election Surveys (MSU-MTN) (ICPSR 110805)
Released/updated on: 2019-07-22
Time period: 2018-09-15--2018-10-06, 2018-11-08--2018-12-14
Recommended citation:
Parker, D., Raile, E., Guenther, S., & Shanahan, E. (2019). 2018 Montana Election Surveys (MSU-MTN) [Data file]. Retrieved from https://www.openicpsr.org
These polls were funded jointly by the Montana Television Network (MTN) and Montana State University (MSU).
The MSU-MTN pre-election survey was conducted by the Human Ecology Learning & Problem Solving (HELPS) Lab of Montana State University-Bozeman between September 15 and October 6, 2018. The population for the poll was Montana voters who registered by August 14, 2018. The sample was stratified by state House districts, and then a random sample of 10,400 voters was drawn proportionally from these strata. Sampled individuals received a questionnaire by mail and were asked to return the questionnaire via a self-addressed stamped envelope. Respondents returned 2,079 surveys, a response rate of slightly over 20% based on 10,215 deliverable addresses.
The population size was 686,791 registered voters. This resulted in a margin of error (MOE) of approximately +/- 2 percentage points. Please note that this figure is an overall approximation given sampling stratification and different response options and response patterns for specific questions. Using a raking method, the data were weighted by age, media market, marital status by gender, and education to match U.S. Census Bureau data on registered Montana voters. Data were also weighted on 2016 presidential vote choice to match vote returns reported by the Montana Secretary of State.
The MSU-MTN post-election survey was similarly conducted by the HELPS Lab of Montana State University-Bozeman between November 8 and December 14, 2018. Researchers used a panel design, meaning they re-surveyed individuals who had completed the pre-election questionnaire. Respondents returned 1,424 completed questionnaires for a response rate of approximately 68%. The population of registered voters at the time of the election was 711, 844, which produced an overall MOE of approximately +/- 2.6 percentage points. The weights remained the same except for replacing 2016 presidential vote choice with 2018 Senate vote choice.
Parker, D., Raile, E., Guenther, S., & Shanahan, E. (2019). 2018 Montana Election Surveys (MSU-MTN) [Data file]. Retrieved from https://www.openicpsr.org
These polls were funded jointly by the Montana Television Network (MTN) and Montana State University (MSU).
The MSU-MTN pre-election survey was conducted by the Human Ecology Learning & Problem Solving (HELPS) Lab of Montana State University-Bozeman between September 15 and October 6, 2018. The population for the poll was Montana voters who registered by August 14, 2018. The sample was stratified by state House districts, and then a random sample of 10,400 voters was drawn proportionally from these strata. Sampled individuals received a questionnaire by mail and were asked to return the questionnaire via a self-addressed stamped envelope. Respondents returned 2,079 surveys, a response rate of slightly over 20% based on 10,215 deliverable addresses.
The population size was 686,791 registered voters. This resulted in a margin of error (MOE) of approximately +/- 2 percentage points. Please note that this figure is an overall approximation given sampling stratification and different response options and response patterns for specific questions. Using a raking method, the data were weighted by age, media market, marital status by gender, and education to match U.S. Census Bureau data on registered Montana voters. Data were also weighted on 2016 presidential vote choice to match vote returns reported by the Montana Secretary of State.
The MSU-MTN post-election survey was similarly conducted by the HELPS Lab of Montana State University-Bozeman between November 8 and December 14, 2018. Researchers used a panel design, meaning they re-surveyed individuals who had completed the pre-election questionnaire. Respondents returned 1,424 completed questionnaires for a response rate of approximately 68%. The population of registered voters at the time of the election was 711, 844, which produced an overall MOE of approximately +/- 2.6 percentage points. The weights remained the same except for replacing 2016 presidential vote choice with 2018 Senate vote choice.
Self-published
2018 New Markets Tax Credit Public Data Release Source Data: COMMUNITY DEVELOPMENT FINANCIAL INSTITUTIONS FUND (ICPSR 225321)
Released/updated on: 2025-04-02
Time period: 2003-01-01--2016-12-31
The New Markets Tax Credit Program (NMTC Program) permits taxpayers to receive a credit against Federal income
taxes for making qualified equity investments in designated Community Development Entities (CDEs). Substantially all
of the qualified equity investment (QEI) must in turn be used by the CDE to provide investments in low-income
communities. The credit provided to the investor totals 39 percent of the cost of the investment and is claimed over a
seven-year credit allowance period.
• The CDFI Fund requires all CDEs that have been awarded NMTC allocations (Allocatees) to submit an annual report detailing how they invested QEI proceeds in low-income communities.
• These reports must be submitted to the CDFI Fund by the Allocatees, along with their audited financial statements, within six months after the end of their fiscal year. • All NMTC investments must meet statutory qualifications for their investors to be able to claim the tax credit. • The vast majority of NMTC investments are made within statutorily defined “Low-Income Communities.”
In addition to investments located in Low-Income Communities, investments can qualify for NMTCs by using other statutory provisions designed to target certain areas or populations, including provisions for Rural Counties, and Low-Income Targeted Populations.
The data represented in this summary report and accompanying data file was submitted by Allocatees prior to September 30, 2017. Allocatees must submit their annual report to the CDFI Fund within six months after the end of their fiscal year (FY), therefore the data submitted by September 30, 2017 represents nearly all investments for FY 2016.
• The CDFI Fund requires all CDEs that have been awarded NMTC allocations (Allocatees) to submit an annual report detailing how they invested QEI proceeds in low-income communities.
• These reports must be submitted to the CDFI Fund by the Allocatees, along with their audited financial statements, within six months after the end of their fiscal year. • All NMTC investments must meet statutory qualifications for their investors to be able to claim the tax credit. • The vast majority of NMTC investments are made within statutorily defined “Low-Income Communities.”
In addition to investments located in Low-Income Communities, investments can qualify for NMTCs by using other statutory provisions designed to target certain areas or populations, including provisions for Rural Counties, and Low-Income Targeted Populations.
The data represented in this summary report and accompanying data file was submitted by Allocatees prior to September 30, 2017. Allocatees must submit their annual report to the CDFI Fund within six months after the end of their fiscal year (FY), therefore the data submitted by September 30, 2017 represents nearly all investments for FY 2016.
Self-published
2018 Survey of Canadian Scientists (ICPSR 111575)
Released/updated on: 2019-09-10
This project was designed to assess Canadian scientists overall views about public engagement in the context of science communication choices about specific tactics they might consider using as part of their engagement efforts. The survey includes random assignment so that respondents were either asked about engagement goals, objectives, and tactics in the context of either regular face-to-face engagement or protest-specific engagement. Michigan State IRB #x17-1485e.
Self-published
2018 TBI Model System Collaborative: Characterization and Treatment of Chronic Pain after Moderate to Severe Traumatic Brain Injury (ICPSR 193506)
Released/updated on: 2025-01-03
Time period: 2018-09-30--2023-09-29
This is a multi-site, cross-sectional, observational study involving a total of 18 centers. Using the infrastructure of the TBIMS, this study will add new study measures at collaborative study sites and link this information with TBIMS Form I and II variables to address the study aims. Results from this study will provide a more detailed picture of the problem of chronic pain after TBI by examining the types of pain that occur after TBI, which may be multiple types of pain for a subset of individuals, as well as the frequency of comorbid conditions. Identifying extreme phenotypes, such as demographic, individual, and treatment factors associated with those who have chronic pain but have minimal interference compared to those who are significantly impacted by pain, will allow us to identify treatment targets (behavioral, cognitive, biological, and molecular) to advance a personalized medicine approach to treatment unlike any approach in TBI and chronic pain to date. Outcomes from this study will include educational materials on chronic pain and pain treatment to benefit patients, family members, clinicians, and policymakers. Data from this study will have a direct impact on clinical practice, informing future work, and promoting understanding of constituent factors in extreme phenotypes.
Self-published
2018 US National Justice Survey (ICPSR 190167)
Released/updated on: 2023-04-27
Time period: 2018-06-01--2018-08-01
The National Justice Survey asked U.S. respondents about their experiences interacting with police, their perspectives on the criminal legal system, and social attitudes. This survey is part of the National Opinion Research Center’s (NORC) AmeriSpeak Panel (NORC, 2018). Funded and operated by NORC at the University of Chicago, AmeriSpeak® is a probability-based panel designed to be representative of the US household population. Randomly selected US households are sampled with a known, non-zero probability of selection from the NORC National Frame and address-based sample, and then contacted by US mail, telephone interviewers, overnight express mailers, and field interviewers (face to face) and asked to complete a questionnaire over the web during June-August 2018. AmeriSpeak panelists participate in NORC studies or studies conducted by NORC on behalf of NORC’s clients. The current study was funded by the Russell Sage Foundation and conducted by Amerispeak. The City University of New York institutional review board approved the research and participants provided informed consent via computer. Respondents were drawn from this panel based upon age, race, education and gender. The sample is based upon the population falling within each group, adjusted for expected completion rates. The sample was weighted to reflect the national population.
Self-published
2019 Annual Programs Technical Report, Village Health Works (ICPSR 119146)
Released/updated on: 2020-04-27
Village Health Works is a grassroots, 501(c) (3) non-profit organisation
that provides quality, compassionate, dignified health care in rural Burundi,
East Africa. We use a holistic model, focusing first on treating illnesses
through primary health care services, then using our unmatched community
engagement to implement programs in sustainable agriculture, education and
economic development to address the social determinants of health.
With a catchment population of
120,000 people, the clinic program focuses on improving health and wellbeing
through the provision of quality health services in the area of infectious
diseases, non-communicable diseases, maternal and child health, and mental
health. Furthermore, there is a public health component to the program that
targets disease prevention, the adoption of a healthy lifestyle, family
planning as well as engaging the communal structures to raise awareness of
sensitive areas like sexual violence. Our approach is community-driven and as
such, we place importance on delivering services via community health workers,
who are formally integrated into the health system.
The economic development program has
a strategy of tackling poverty through income generating activities. Under this
program, community members form cooperatives in which they receive agricultural
input, training and routine capacity building activities. Cooperatives are
organised around traditional farming, fish farming and services such as baking
and sewing. Additionally, the economic development program has a food security
program which aims at tackling nutrition in the catchment as well as supporting
the clinic patients with diverse and nutritious food. In the community, the
food security program focuses on improving agricultural practices through
improving fertility of lands for farming.
The education program currently
operates on-site and focuses on delivering high quality education. To achieve
desired students’ outcomes, the program implements a model with two major
components; teacher training and strengthening support systems for pupils. The
teacher training component aims to equip teachers with the skills and knowledge
to make classroom instruction child-centered.
The other component concentrates on creating a safe, healthy, and
congenial area in which children learn and thrive. As such, activities carried
out under this component include: screening children for malnutrition,
providing de-worming treatment, health promotion, after-school programming, and
activities designed to promote girls’ education and gender equality.
Self-published
2019 Annual Survey of Refugees (ICPSR 168641)
Released/updated on: 2022-04-27
Time period: 2020-01-13--2020-04-21
Since the 1980s,
the Office of Refugee Resettlement[1]
(ORR) has conducted the Annual Survey of Refugees (ASR), which collects
information on refugees during their first five years after arrival in the U.S.
The ASR is the only scientifically-collected source of national data on
refugees’ progress toward self-sufficiency and integration. ORR uses the ASR
results alongside other information sources to fulfill its
Congressionally-mandated reporting requirement following the Refugee Act of
1980.
In the spring of 2020, ORR completed its 53rd Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2019 ASR with future years likely to be added to the ICPSR archive.
In the spring of 2020, ORR completed its 53rd Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2019 ASR with future years likely to be added to the ICPSR archive.
[1] The Office of Refugee Resettlement (ORR)
at the Administration for Children and Families in the U.S. Department of
Health and Human Services (HHS) serves refugees and other humanitarian
entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa
holders, Amerasians, victims of human trafficking, and unaccompanied children.
By providing these arrived populations with critical resources, ORR promotes
their economic and social well-being. Of these populations, the Annual Survey
of Refugees focuses solely on refugees who have come to the U.S. in the past
five fiscal years.
Self-published
2019 CDFI Program Awardee Performance Data Snapshot (ICPSR 224366)
Released/updated on: 2026-03-09
Time period: 2018-10-01--2019-09-01
CDFI Program and NACA Program Awardees: A Snapshot of 2019 Reported Activities. This pdf gives a summary of the CDFI (Community Development Financial Institutions) program and the NACA (Native American CDFI Assistance) Program datasets and the data trends for FY (fiscal year) 2019.
***
Microdata: Yes
Level of Analysis: Group - corporations
Variables Present: Yes
File Layout: .xslx
Codebook: Yes - pdf
Methods: Partial -
link: https://www.cdfifund.gov/news/529
link: https://www.cdfifund.gov/news/529
Weights (with appropriate documentation): n/a
Publications: Yes
Aggregate Data: Yes - pdf