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The Chitwan Valley Family Study (CVFS) is a comprehensive family panel study of individuals, households, and communities in the Chitwan Valley of Nepal. The study was initially designed to investigate the influence of changing community and household contexts on population outcomes such as marital and childbearing processes. Over time, the goals of the study expanded to investigate family dynamics, intergenerational influences, child health, migration, labor force participation, attitudes and beliefs, mental health, agricultural production, environmental change, and many other topics. The data include full life histories for more than 10,000 individuals, tracking and interviews with all migrants, continuous measurement of community change, over 25 years of demographic event registry, and many other data collections. For additional information regarding the Chitwan Valley Family Study, please visit the Chitwan Valley Family Study Website. A Data Guide for this study is available as a web page and for download.

Principal Investigators

• William G. Axinn, University of Michigan
• Dirgha Ghimire, University of Michigan
• Jordan Smoller, Massachusetts General Hospital

The East Asian Social Survey (EASS) is a biennial social survey project that serves as a cross-national network of the following four General Social Survey type surveys in East Asia: Chinese General Social Survey (CGSS), Japanese General Social Survey (JGSS), Korean General Social Survey (KGSS), Taiwan Social Change Survey (TSCS), and comparatively examines diverse aspects of social life in these regions. Since its 1st module survey in 2006, EASS produces and disseminates its module survey datasets and this is the harmonized data for the 4th module survey, called 'Work Life in East Asia,' which was carried out during 2015 in China, Japan, and Taiwan.

Survey information in this module focuses on work related issues such as equity at work place, work orientation, and work-family balance. Additionally, respondents were asked about global economic crisis, social disparity and mobility as well as entrepreneurship.

Demographic information specific to the respondent and their spouse includes age, sex, marital status, education, employment status and hours worked, occupation, earnings and income, religion, class, size of community, and region.

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 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 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.

This study sought to identify what parking facility characteristics and management practices within the Washington Metro Transit Police (MTP) might create opportunities for crime, analyze those findings in relation to past crimes, and identify promising crime reduction strategies. The project consisted of three main research components: (1) identification of the magnitude of car crime in commuter parking facilities and possible strategies for prevention of such car crime; (2) identification and implementation of a crime prevention strategy; and (3) evaluation of the strategy's effectiveness.

In partnership with the MTP staff, the research team created a blocked randomized experimental design involving 50 matched pairs of commuter parking facilities in which a combination of live and dummy digital cameras were deployed, along with accompanying signage, at the exits of one randomly selected facility from each pairing. After a period of 12 months following camera implementation, the research team analyzed the impact of the cameras on crime occurring in and around Metro's parking facilities.