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The Michigan Metro Area Communities Study (MIMACS) is a panel survey of select Michigan communities residents aged 18 and older. Flint is one of the communities included in MIMACS. The initial survey in Flint was conducted in 2022 and the sample was drawn from an address-based probability sample of all occupied Flint households. The 3rd survey wave, collected between January 15 - March 18, 2024, researchers invited 823 previously enrolled panelists and 1,554 invitations to a randomly selected address-based refreshment sample of Flint households to participate in a self-administered online or interviewer-administered telephone survey. Survey topics included: Household Composition, Residence and Housing Status; Health, Social Determinants of Health, Long COVID, Mental Health; Disability; Perceptions of Neighborhood; Transportation Mode; Financial Precarity; Perception of Control; Voting; Employment; Demographics.

This is the replication package for “Why Was the Wheel (Not) Used in the Andes? A Hypothesis Explaining the Slow Adoption of Wagon Transport and Evidence from Nineteenth-Century Colombia.” The package includes the data, code, and documentation necessary to reproduce the analyses, tables, and figures reported in the article.The study examines the slow adoption of wagon transport in the Andes through a threshold technology-adoption model calibrated with historical and physiological evidence on human, mule, and wagon transport costs. The data refer primarily to nineteenth-century Colombia and include information on transportation routes, route characteristics, traffic demand, energy-based transport costs, and the comparison between animal-pack transport and wagon-road transport.The replication files allow users to reproduce the model calibration, the construction of key variables, and the empirical and quantitative exercises used to evaluate why wagon transport became economically viable only after transport demand crossed a threshold sufficient to offset the fixed costs of wagon-road construction.

MCC’s $177.7 million Armenia Compact (2006-2011) funded the $8.4 million Rural Road Rehabilitation Project to improve the quality of 24 kilometers of rural roads. The project was designed on the theory that improved rural roads would reduce transportation costs, enhance residents’ access to markets and social infrastructure, and increase vehicular activity, thereby increasing employment opportunities (both short- and long-term) and agricultural investment and production, eventually resulting in increased household income. In addition, about a quarter of the project cost went to fund the design of 430 kilometers of rural roads that were subsequently rehabilitated by the World Bank and the Government of Armenia.

Study Type: Independent Evaluation

Study Status: Completed

Program at a Glance

• Program Name: Armenia Compact
• Program Type: Compact
• Region: Europe, Asia, and Pacific
• Country: Armenia
• Program Dates: September 30, 2006 – September 29, 2011

Study

General Metadata

• Contractor: Mathematica
• Sector: Transportation
• Intervention Type(s): Transport infrastructure
• Cross-Sector Theme(s): agriculture productivity
• Project Objective:The Objective of the Rural Road Rehabilitation Project is to expand the access of rural communities to agricultural markets, non-farm income opportunities and social infrastructure by improving the condition of rural roads.

Evaluation Methodology

• Evaluation Type: Impact
• Evaluation Methodology Type: Differences in Differences with matching
• Location Type: Rural

Milestones

• Contract Start: September 2006
• Evaluation Design Report Published: June 2010
• Interim Report Published: NA
• Final Data Package Published: April 2015
• Final Report Publication: February 2017

This study contains measures of street connectivity (how well streets connect with one another) within all United States census tracts and United States ZIP code tabulation areas (ZCTAs). This includes measures of the number of street segments (links) and intersections (nodes) per tract/ZCTA, street length within tracts/ZCTA, and indices representing overall connectivity within the tract/ZCTA.

This study focused on transportation deprivation in women offenders. For the purpose of exploring transportation disadvantage for women on community supervision, interviews were conducted with 75 women on probation or parole. These interviews focused on women's struggles with transportation and featured questions regarding whether they have driving licenses, have social support, are stressed or unsafe when they travel, and whether transportation problems have impacted supervision violations or recidivism events.

The interviews were used to explore the following themes:

• Women's insights and experiences about getting from place to place while under supervision
• Their strategies for increasing transportation resources and access
• The connections of transportation access to attending required/needed programming and supervision appointments
• Whether any violations or new offenses resulted from inadequate transportation access

The Detroit Metro Area Communities Study (DMACS) is a panel survey of Detroit residents aged 18 and older. The original panel of respondents was drawn from an address-based probability sample of all occupied Detroit households in 2016 and has since been refreshed through additional address-based sampling annually. The 18th survey wave, collected between November 2, 2023 and December 19, 2023, invited 3,065 previously-enrolled panelists to participate in a self-administered or interviewer-administered survey.

Topics included: transportation; health; long COVID-19 symptoms; mental health; grocery shopping routines; household finances; inequality; new technologies; drones; non-degree training program; employment.

The Household Pulse Survey (HPS) is a 20-minute online survey that measures how emergent social and economic issues impact households across the country. The data collected enable the Census Bureau to produce statistics at the national and state levels and for the 15 largest Metropolitan Statistical Areas (metro areas).

Between April of 2020 to September 2024 the Census Bureau's experimental HPS measured how emergent issues are impacting U.S. households from a social and economic perspective. The last cross-sectional data collection for the Phase 4.2 of the HPS started on July 23, 2024, and ended on September 16, 2024, with the final data released on October 3, 2024. The complete Household Pulse Survey Technical Documentation is available here.

The HPS collaborated with the National Endowment for the Arts (NEA) to deliver relevant arts-related insights. The arts component of the survey collected data on participation in cultural activities, with variables such as attendance at live music, dance, or theater performances ("LIVENTERTAINMENT"), visits to art exhibits ("ARTEXHIBIT"), movie attendance ("MOVIES"), personal involvement in creating or performing art ("CREATEART"), and perceptions of local arts opportunities ("PARTINARTS").

Public-use data files and interactive tools are freely available on the Census website.

For detailed insights into arts and entertainment participation during the Phase 4.2 Cycle 09 (August 20 - September 16) of the Household Pulse Survey, users can refer to the following tables:

• Table 1. In-person Attendance of Arts and Entertainment During the Last Month, by Select Characteristics [< 1.0 MB]
• Table 2. Personal Creation, Practice, and Performance of Art During the Last Month, by Select Characteristics [< 1.0 MB]
• Table 3. Available Neighborhood or Community Arts and Cultural Activities, by Select Characteristics [< 1.0 MB]

To download the latest public-use files for December 2024 (December 17, 2024, to January 3, 2025), please use the following links:

• HPS December 2024 PUF SAS [11.2 MB]
• HPS December 2024 PUF CSV [13.4 MB]

Relaunched in January 2025 as the Household Trends and Outlook Pulse Survey (HTOPS), the survey continues to deliver rapid insights into national events with social and economic impacts.

FACES provides national information about Head Start programs and participants. Beginning in 1997, a series of nationally representative samples of Head Start children and their families, classrooms, and programs has described the population served by Head Start; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and the experiences and well-being of children and families. FACES studies have included assessments that measure children's cognitive skills, social-emotional skills, and physical status; observations of classroom quality; and surveys of children's parents, teachers, center directors, and program directors.

The Family and Child Experiences Survey (FACES 2014) Contextual Variables Data File contains 28 contextual, community-level variables about 399 Head Start centers included in the FACES 2014 study sample. It does not contain data collected as part of the FACES 2014 study; instead, it contains information from publicly available data sources and is designed to merge with other FACES 2014 data files to enhance the understanding of Head Start center communities. The contextual variables data describe characteristics of the census tract or block group in which Head Start centers are located.

The contextual variables include three index variables constructed by research institutions, 24 demographic and socioeconomic variables derived from the American Community Survey (ACS), and a measure of rural/urban status from the U.S. Department of Agriculture. The FACES 2014 Contextual Variables Data File is intended to be used with the other FACES 2014 data files. For example, in conjunction with the other FACES 2014 data, these data could be used to:

• describe the characteristics of neighborhoods where children attend Head Start,
• describe how children's experiences or Head Start quality differ by neighborhood characteristics, or
• explore associations among neighborhoods, Head Start experiences, and child and family well-being.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of the 2013 poll Health Education Survey, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

• Grade child enrolled in
• Location of child's school
• Enrollment total
• Giving grade to child's school
• Biggest problem at school
• Emphasis on various subjects
• School teaching same values as home values
• School obligations interfering with family time
• Knowledge about common core
• Common core improving education
• Method of learning about common core
• Success of common core
• School preparing students for careers
• Attending technical
• Vocational classes
• Preparing students for college
• Preparing students for job market
• Student plans after high school
• College or career planning services
• Healthiness of school lunches
• Foods available at school
• Length of school lunch
• Time of lunch period
• Vending machines at school
• Fast-food chains at school
• Physical education as mandatory
• Frequency of PE classes
• Length of PE classes
• PE classes for other purposes
• Rating PE school offerings
• Playgrounds available after school
• Recess as structured or free time
• School safety
• Security precautions at school
• Ways of preventing violence at school
• Increasing security after Newtown shooting
• Method of transport to school
• Time to get home from school
• Safety of travelling to school
• School related stress
• School counseling for stressed students
• Time of school day

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092359]. Frequencies and summary statistics for the 148 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of the 2014 poll The Burden of Stress in America, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

• Stress experienced in past month
• Impact of stress on life aspects
• Stress affecting health
• Stress affecting family and household
• Stress affecting friendships
• Stress affecting work
• Stress affecting community involvement
• Responses to stress
• Time to relax in past month
• Causes of stress
• Concern about various problems
• Daily events contributing to stress
• Reasons for not experiencing stress
• Stress experienced in past year
• Most stressful event in past year
• Things done to reduce stress
• People advising stress reduction methods
• Stress level changes in last few years
• Stress contributing to major life problems
• Stress contributing to future problems
• Stress having positive effect
• Control over stress
• Effect of stress on other people

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092361]. Frequencies and summary statistics for the 410 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of the 2014 poll What Shapes Health, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

• Concerned about own health
• Meaning of health
• Control over own health
• Effort into maintaining health
• Frequency of healthy activities
• Description of personal health
• Types of healthy habits
• On diet to lose weight
• Ways to improve health
• Things that cause health problems
• Childhood problems causing future health issues
• Participation in community organizations
• Volunteering improving health
• Being told to improve health
• Family/friend behavior influencing health
• Health habits of family/friends
• Problems experienced in adulthood
• Problems experience in childhood
• Receiving health care
• Difficulty accessing health care
• Parents' health
• Recent serious illnesses
• Diagnosed with health conditions
• Frequency of exercising
• Personal weight
• Smoking habits
• Health insurance

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092363]. Frequencies and summary statistics for the 244 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of the 2015 poll Sports and Health in America, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard T.H. Chan School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

• Sports participation in past year
• Exercise in the past year
• Importance of sport/exercise
• Effects of sport/exercise
• Future sport/exercise participation
• Reasons for not participating in sport/exercise
• Sports participation in school
• Desire for child sports participation
• Desire to be professional athlete
• Stopped playing sports
• Reasons for current sports participation
• Child health
• Child sports participation
• Sports participation with child
• Effects of child sports participation
• Hope for child to be professional athlete
• Child exercise
• Obstacles to child sports participation
• Personal health
• Sport/exercise injuries
• Hours of TV

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31095185]. Frequencies and summary statistics for the 191 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of the 2017 Discrimination in the United States Survey, a survey from Harvard T.H. Chan School of Public Health/Robert Wood Johnson Foundation/National Public Radio conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

• Belief in discrimination against racial/ethnic minorities
• Discrimination against men/women
• Discrimination against lesbian/gay/bisexual people
• Discrimination against transgender people
• Biggest problem with discrimination against lesbian/gay/bisexual/transgender/queer (LGBTQ) people
• Live on tribal lands
• Local/tribal government
• Discrimination based on race
• Discrimination based on gender
• Discrimination based on being part of the LGBTQ community
• Reasons for avoiding seeking health care
• Experiences with discrimination
• Discrimination resulting in fewer employment opportunities
• Discrimination resulting in unequal pay
• Discrimination resulting in fewer chances for quality education
• Encouraged to/discouraged from applying to college
• Predominant groups living in respondent's area
• Not feeling/being welcomed in neighborhood due to race
• Not feeling/being welcomed in neighborhood due to being part of LGBTQ community
• Considered moving to another area because of discrimination
• Comparing respondent's area to others
• Police using unnecessary force based on race/ethnicity
• Avoiding activities to avoid discrimination from police
• Experiences caused by racial discrimination
• Experiences caused by gender discrimination
• Experiences caused by discrimination against LGBTQ community
• Local police force does/does not reflect racial/ethnic background of community
• Contacted by political representatives about voting/supporting cause
• Registered to vote
• Vote in 2016 presidential election
• Physical health status
• Mental health status
• Disability
• Chronic illness
• Veterans Administration
• Indian Health Services
• Seeking health care
• Insurance coverage

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31114655]. Frequencies and summary statistics for the 235 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Health Priorities Survey 2--Public Health Priorities, the Nation's Public Health System, and State Health Departments, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by International Communications Research (ICR). Topics covered in this survey include:

• Rating public illness prevention systems
• Government health agency job performance
• Rating specific illness preventative measures
• Greatest threats to public health
• State government agency job performance
• Familiarity with state health agencies
• Contact with state health agencies
• Following state health news
• State health department importance
• Rating state health department
• Overall state health
• Health insurance coverage
• Rating personal health

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092336]. Frequencies and summary statistics for the 96 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of African Americans' Lives Today, a survey from National Public Radio, the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

• Satisfaction with life and environment
• Life improvements
• Satisfaction with living area
• Living area improvements
• Most important local issue
• Other black people in area
• Amount of black friends
• Economic class
• Rating various public institutions
• Rating quality of various resources
• Amount of discrimination
• Reason for discrimination
• Personal financial situation
• Economic class growing up
• Achieving American dream
• Better off than parents
• Importance of religion
• Making decisions about children
• Child schooling
• Rating child's school
• Black children in school
• Desired level of child's education
• Seeking long-term relationship
• Desire to marry
• Satisfaction with dating opportunities
• Race of romantic dates
• Looking for work
• Career success
• Unemployment concerns
• Health insurance and healthcare
• Access to care
• Medical expenses
• Quality of doctors
• Health and wellness
• Social and family life

The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092356]. Frequencies and summary statistics for the 204 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Latinos' Lives and Health Today, a survey from National Public Radio, the Harvard School of Public Health, and the Robert Wood Johnson Foundation, conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:

• Satisfaction with life
• Satisfaction with living area
• Most important local issue
• Other Hispanic people in living area
• Rating aspects of life
• Personal discrimination in past twelve months
• Personal finances
• Achieving American dream
• Economic class
• Better off than parents
• Opportunities for children
• Language spoken at home
• Looking for job
• Concerns about unemployment
• Biggest health problem in family
• Description of weight
• Trying to lose weight
• Medical care in past twelve months
• Problems with medical care access
• Confidence in ability to pay for major illness
• Health care facility used
• Health care professionals speaking Spanish
• Receiving poor medical care
• Health insurance coverage
• Personal health rating
• Frequency of exercise
• Country born in
• Age came to United States
• Parents' birth country
• Reasons for coming to US
• Comparing birth country to US
• Diet as more or less healthy in US.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Poll: Drinking and Driving Survey, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include:

• Chronic disease
• Important health issues
• Drunk drivers

This collection consists of taxi trip record data for yellow medallion taxis, street hail livery (SHL) green taxis, and for-hire vehicles (FHV) in New York City between 2009 and 2018.

The yellow and green taxi trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts. The data were collected and provided to the NYC Taxi and Limousine Commission (TLC) by technology providers authorized under the Taxicab and Livery Passenger Enhancement Programs (TPEP/LPEP). The trip data was not created by the TLC, and TLC makes no representations as to the accuracy of these data.

The For-Hire Vehicle ("FHV") trip records include fields capturing the dispatching base license number and the pick-up date, time, and taxi zone location ID. These records were generated from the FHV Trip Record submissions made by bases. Note: The TLC publishes base trip record data as submitted by the bases, and cannot guarantee or confirm their accuracy or completeness. Therefore, this may not represent the total amount of trips dispatched by all TLC-licensed bases. The TLC performs routine reviews of the records and takes enforcement actions when necessary to ensure, to the extent possible, complete and accurate information.

These data are publically available from the NYC Taxi and Limousine Commission website.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme files for a brief dscription of the files available with this collection and consult the investigator(s) if further information is needed.

The qualitative data are not available as part of the data collection at this time.

Numerous high-profile events involving student victimization on school buses have raised critical questions regarding the safety of school-based transportation for children, the efforts taken by school districts to protect students on buses, and the most effective transportation-based behavioral management strategies for reducing misconduct. To address these questions, a national web-based survey was administered to public school district-level transportation officials throughout the United States to assess the prevalence of misconduct on buses, identify strategies to address misconduct, and describe effective ways to reduce student misbehavior on buses. Telephone interviews were also conducted with a small group of transportation officials to understand the challenges of transportation-based behavioral management, to determine successful strategies to create safe and positive school bus environments, and to identify data-driven approaches for tracking and assessing disciplinary referrals.

The collection includes 10 Stata data files:

• BVSBS_analysis file.dta (n=2,595; 1058 variables)
• Title Crosswalk File.dta (n=2,594; 3 variables)
• Lessons Learned and Open Dummies.dta (n=1,543; 200 variables)
• CCD dataset.dta (n=12,494; 89 variables)
• BVSB_REGION.dta (n=4; 3 variables)
• BVSB_SCHOOLS.dta (n=3; 3 variables)
• BVSB_STUDENTS.dta (n=3; 3 variables)
• BVSB_URBAN.dta (n=8; 3 variables)
• BVSB_WHITE.dta (n=3; 3 variables)
• FINALRAKER.dta (n=2,595; 2 variables)

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the following special topics: (1) E-Communications and the Digital Single Market, (2) Awareness and Perceptions of Europeans about EU Customs, and (3) EU Citizens, Agriculture, and the Common Agricultural Policy. Respondents were queried as to their use of telephones and digital electronics, the importance of specific factors in choosing to subscribe to an Internet connection, paid services that can be accessed via the Internet, bundling Internet connection with other services, and switching communication service providers. Questions were also asked regarding respondents' perceptions of EU customs authorities and their activities, the role of EU customs authorities, and how informed respondents were about various aspects of the EU Customs Union. Additional topics included respondents' support of the Common Agricultural Policy (CAP), the primary responsibilities of EU farmers, the effectiveness of the CAP, approval of EU financial support of the CAP, and importance of environmental protection.

Demographic and other background information collected includes age, gender, nationality, marital status, occupation, political preference, age when stopped full-time education, household composition, ownership of a fixed or mobile telephone and other goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview.

The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economy, civil society, and related issues. This particular data collection was concerned with the attitudes and opinions of the citizens of Liberia, and also includes a number of "country-specific questions" designed specifically for the Liberia survey.

The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, and national identity. In addition, Round 6 surveys included special modules on taxation; tolerance; crime, conflict and insecurity; political corruption; interregional relations; perceptions of China; use of technology; and social service delivery.

The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 6 surveys were implemented in 36 countries.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology. This round of Eurobarometer surveys covers the following special topics:(1) Quality of Transport, (2) Cyber Security, (3) Value Added Tax, and (4) Public Health.

Respondents' opinions were collected regarding common forms of transportation, status of infrastructure in the respondent's country, reasons for using various forms of transportation, the use of autonomous vehicles, frequency and purpose of travel, and issues affecting rail, air, sea, and road transportation. Additional questions were asked regarding risks of cyber crime, respondents' use of the internet, how cyber security concerns have altered respondents' online behavior, prevention of online harassment of household children, and concern about and experience with being victimized in cyber crime. Respondents were also asked about the Value Added Tax (VAT) and how often they purchased goods from other EU member states. Further questions include knowledge of information regarding reimbursement for healthcare, and respondents' willingness to and opinions of policies related to blood, tissue, and organ donation.

Demographic and other background information collected includes age, gender, nationality, marital status, occupation, left-right political self-placement, age when stopped full-time education, household composition, ownership of a fixed or mobile telephone and other durable goods, difficulties in paying bills, self-assessed level in society, self-assessed social class, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview.

The American Housing Survey (AHS), the most comprehensive housing survey in the U.S., provides up-to-date information on the size and composition of the housing stock in our country. This survey delivers information about the types of homes in which people are now living and the characteristics of these homes, as well as the costs of running and maintaining them. National data are collected every other year and metropolitan area data are collected on a rotating basis. The AHS is sponsored by the Department of Housing and Urban Development (HUD) and conducted by the U.S. Census Bureau.

The AHS Table Creator gives data users the ability to create customized tables from the AHS data without having to use the Public Use File (microdata).

Like the microdata, the AHS Table Creator provides current information on a wide range of housing subjects, including size and composition of the nation's housing inventory, vacancies, fuel usage, physical condition of housing units, characteristics of occupants, equipment breakdowns, home improvements, mortgages and other housing costs, people eligible for and beneficiaries of subsidized housing, home values, and characteristics of recent movers.

For the first time since 1985, the survey selected new national and metropolitan area longitudinal samples. In addition to the "core" data, the AHS collected "topical" data using a series of topical modules. The 2015 AHS includes topical supplements on 1) the presence of arts and cultural opportunities in the community, 2) health and safety hazards in the home, 3) food insecurity, and 4) the use of housing counseling services. Data users can also explore the new national and metropolitan area longitudinal samples as well as the topical supplements using the AHS Table Creator.

Policy analysts, program managers, budget analysts, and Congressional staff use the AHS data and table creator to monitor supply and demand, as well as changes in housing conditions and costs, in order to assess housing needs. Analyses based on the AHS are used to advise the executive and legislative branches in the development of housing policies. HUD uses the AHS to improve efficiency and effectiveness and design housing programs appropriate for different target groups, such as first-time home buyers and the elderly. Academic researchers and private organizations also use AHS data in efforts of specific interest and concern to their respective communities.

The AHS is conducted every two years from May and September in odd-numbered years. HUD sometimes adjusts this schedule and/or sample depending on budget constraints. Public use microdata and reports are released approximately 12 months after data collection.

This collection contains GIS materials which cover the spread of different modes of transportation in the lower 48 states from America's founding through (approximately) 1911. There are three transportation modes included in this collection: canals, steamboat-navigated (as opposed to simply navigable) rivers, and railroads.

The GIS materials can be downloaded by accessing the "Other" link.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the following special topics: (1)Passenger Rights and (2)Development Aid. Respondent's opinions were collected regarding their rights and experiences as passengers on board planes, rail, ship, and other public transportation means. They were asked about disruptions, delays, transportation mode, noise and assistance. Their opinions were also collected about EU development aid, poverty, and living conditions. They were asked where development aid should be used, for example, to improve health, education, water and sanitation, or a number of other areas. They were also asked where they obtained their information about development.

Demographic and other background information collected includes age, gender, nationality, marital status, left-right political self-placement, occupation, age when stopped full-time education, household composition, ownership of a fixed or mobile telephone and other durable goods, difficulties in paying bills, self-assessed level in society, self-assessed social class, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys includes the standard modules and covers the following special topics: (1) Climate Change, (2) Biodiversity, (3) and Discrimination of Minority Groups. Respondent's opinions were collected on which world issues they believed were the most serious problems, how serious the issue of climate change was and if the EU should be responsible for addressing it, and what actions the have personally taken to fight climate change. Additional questions were asked regarding biodiversity and the dangers presented problems such as the decline of natural habitats and animal and plant species, and how these issues should be addressed by various groups. Respondents were also queried about their knowledge of Natura 2000 and other nature protection networks. Lastly, respondents were questioned regarding their experiences of and attitudes toward discrimination.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, occupation, age when stopped full-time education, left-right political self-placement, household composition, ownership of durable goods, difficulties in paying bills, self-assessed social class, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries). Pre-archive/1st release version.

The Survey on Mobility and Mobile Communication was designed to obtain information about how individuals move and interact with others in their daily lives as well as the the psychological factors underlying contemporary communication.

A total of 925 participants completed an online survey. Information was collected on respondents' everyday walking and driving patterns, mobile communication patterns, in-depth cognitive dimensions of mobile communication (automaticity, immersion), psychological trait/personality measures (mindfulness, self-control), psychological orientations related to mobile communication (texting identity, texting impulsivity), and risky driving behavior.

Of the 925 cases, a sub-sample of 250 respondents was randomly selected to test how automatic texting tendencies (highly unconscious) and immersive texting tendencies (highly conscious) are related to each other (Study 1). A second sub-sample of 526 was randomly selected to evaluate how the resulting model of texting consciousness relates to global self-regulation at the personality level (Study 2). Finally, the full sample of 925 cases was used to evaluate whether texting consciousness and generalized personality measures predict the rate of distracted driving.

Demographic variables include age, sex, and whether the respondent was a student at the University of Michigan.

This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a New Orleans metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record.

Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information.

Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a Seattle metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record.

Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information.

Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

This data collection provides information on the characteristics of a national sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record.

Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information.

Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys includes the standard modules and covers the following special topics: (1) Social Climate, and (2) Science, Research and Innovation. Respondent's opinions were collected on life satisfaction, area of living, healthcare, pension system, unemployment benefits, cost of benefits, the way the country is run, cost of living and affordability of energy and housing, in present time, in next twelve months and compared to five years ago. Thoughts about why people live in poverty were collected, general trustworthiness of people, views on how to help solve social and economic problems and views about education. As it relates to Science Research and Innovation respondents were asked how people's actions will affect the following 15 years from now: fight against climate change, Protections of the environment, energy supply, health and medical care, job creation, availability and quality of food, as well as transport and transport infrastructure. Opinions were collected on priorities for science and technological innovation. Respondents were asked about their academic past in studying science and technology.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, occupation, age when stopped full-time education, household composition, ownership of durable goods, difficulties in paying bills, self-assessed level in society, self-assessed social class, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics however this collection does not contain standard module questions. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the following special topics: (1) social climate, (2) development aid (3) cyber security (4) public transport (5) Anti-microbial resistance and (6) space technology. In regard to social climate, respondents were asked about their life satisfaction, employment, opinions on healthcare and pension provisions, unemployment benefits, cost of living and asked about past present and future options on the affordability of housing and energy. Lastly thoughts were measured on EU investments and knowledge of the European Social Fund. The development aid section includes questions on the importance of helping developing countries, the Millennium Development Goals, future focus of development policy, and practicality of achieving development goals. Questions in the cyber security section asks about frequency of Internet use, devices used to access the Internet, online activities, confidence in the ability to engage in Internet transactions, online banking concerns, adjustments to Internet use based upon concerns, online harassment and knowledge of cybercrime risks. Queries of public transport/ urban mobility special topic asks about use of car, public transportation, cycling and walking, frequency of travel within cities, problems during travel, opinions on problems in the city, ways to improve city travel, measures to improve travel and responsibility for reducing traffic. Measures taken from the anti-microbial resistance section include use of antibiotics, how antibiotics are obtained, reason for taking antibiotics, knowledge about antibiotics, opinions on group responsibility and knowledge and opinions about use of antibiotics. Lastly, the space technology section asks about the role of space derived technologies, opinions on investing in human space exploration, consequences of climate change, opinions on whether linking space activities to education would encourage students to choose STEM careers, ready to use automated vehicles, opinions on whether space investment will lead to job creation, concerns about asteroids and space-based services, reasons for and against investing in space exploration.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone and other durable goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

The New York, New Jersey, Connecticut Regional Travel - Household Interview Survey (RT-HIS), 1997-1998, was sponsored by the New York Metropolitan Transportation Council (NYMTC) and the North Jersey Transportation Planning Authority (NJTPA). The survey was conducted from February 1997 through May 1998, and relied on the willingness of area residents to complete diary records of their daily travel over a designated 24-hour period. Random recruitment of households was conducted by a telephone recruitment interview in which respondents were informed of the survey, its purpose, and the obligation of respondents to complete travel diaries. Data on households and household members were also collected during the recruitment interview. Participating households were assigned a specific travel day, which typically occurred 10 days after recruitment; each household member was asked to record travel information in a travel diary for the specified 24-hour period. Immediately after the assigned date, households were contacted by telephone to retrieve the diary information. In total, 14,441 households were recruited to participate in the study. Of these, 11,264 households completed travel diaries. Travel information was retrieved from all household members regardless of age, and has been compiled into five public-use data files:

1. The Household file includes demographic information pertaining to the household, such as county of residence, household size, dwelling type, home ownership status, tenure, dominant language, telephone ownership, ethnicity, and income;
2. The Person file contains demographic information pertaining to individual household members, including age, gender, relationship, employment status, student status, disability status, and licensed driver status;
3. The Vehicle file features information about all household vehicles, including the number of vehicles, vehicle year, vehicle type, and whether each vehicle is owned or leased;
4. The Trip file contains all travel day data, including information on places visited, arrival and departure times, activities at each destination, travel mode, parking costs, and detailed transit information;
5. The Location file includes information about each location visited by household members, such as location type, census tracts, and geocoding status data.

Additionally, data producers developed Household, Person, and Trip analysis data files; these files comprise parts 6 through 8, and contain the RT-HIS weight variables.