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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 file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study includes data that was used to investigate the effect of legislative and judicial factors on system responses to sex trafficking of minors (STM) in metropolitan and non-metropolitan communities. To accomplish this, researchers evaluated the effectiveness of the immunity, protection, and rehabilitative elements of a state safe harbor law. This project was undertaken as a response to a growing push to pass state safe harbor laws to align governmental and community responses to the reframing of the issue of sex trafficking of minors that was ushered in with the passage of the Trafficking Victims Protection Act (TVPA).

This collection includes 4 SPSS files, 3 Excel data files, and 2 SPSS Syntax files:

1. Child-Welfare-Human-Trafficking-Reports-2013-2017-data.xlsx
2. Judicial-Interview-De-identified-Quantitative-Data-for-NACJD_REV_Oct2018.sav (n=82; 36 variables)
3. Judicial-online-survey-data-for-NACJD_REV_Dec2018.sav (n=55; 77 variables)
4. Juvenile-Justice-Screening-for-HT-2015-MU-MU-0009.xlsx
5. Post-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=365; 1029 variables)
6. Pre-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=323; 159 variables)
7. Recode-syntax-for-pre-implementation-survey-for-NACJD.sps
8. Statewide-juvenile-court-charges-2015-MU-MU-0009-to-NACJD.xlsx
9. Syntax-for-post-implementation-survey-data-to-NACJD.sps

Qualitative data from judicial interviews and agency open-ended responses to Post-Implementation of the Safe Harbor Law Survey are not available as part of this collection.

The 2015 American Housing Survey marks the first release of a newly integrated national sample and independent metropolitan area samples. The 2015 release features many variable name revisions, as well as the integration of an AHS Codebook Interactive Tool available on the U.S. Census Bureau Web site. This data collection provides information on representative samples of each of the 15 largest metropolitan areas across the United States, which are also included in the integrated national sample (available as ICPSR 36801). The metropolitan area sample also features representative samples of 10 additional metropolitan areas that are not present in the national sample. The U.S. Department of Housing and Urban Development (HUD) and the U.S. Census Bureau intend to survey the 15 largest metropolitan areas once every 2 years.

To ensure the sample was representative of all housing units within each metro area, the U.S. Census Bureau stratified all housing units into one of the following categories: (1) A HUD-assisted unit (as of 2013); (2) Trailer or mobile home; (3) Owner-occupied and one unit in structure; (4) Owner-occupied and two or more units in structure; (5) Renter-occupied and one unit in structure; (6) Renter-occupied and two or more units in structure; (7) Vacant and one unit in structure; (8) Vacant and two or more units in structure; and (9) Other units, such as houseboats and recreational vehicles.

The data are presented in three separate parts: Part 1, Household Record (Main Record); Part 2, Person Record; and Part 3, Project Record. Household Record data includes questions about household occupancy and tenure, household exterior and interior structural features, household equipment and appliances, housing problems, housing costs, home improvement, neighborhood features, recent moving information, income, and basic demographic information. The Household Record data also features four rotating topical modules: Arts and Culture, Food Security, Housing Counseling, and Healthy Homes. Person Record data includes questions about personal disabilities, income, and basic demographic information. Finally, Project Record data includes questions about home improvement projects. Specific questions were asked about the types of projects, costs, funding sources, and year of completion.

In 2014, the United States Department of Agriculture's Economic Research Service (USDA ERS) conducted the Rural Establishment Innovation Survey (REIS). This survey provides a nationally representative sample of innovation processes in rural businesses. REIS defines innovation as the introduction of new goods, services, or ways of doing business that are valued by consumers. Traditional measures from secondary data sources, such as patents or research and development (R&D) expenditures, focus on science and engineering-based innovation, which usually depict rural innovation as rare or idiosyncratic. By focusing instead on a broader definition of innovation, the REIS provides a fuller assessment of rural innovative capacity.

The main research questions for this survey were:

• Are rural firms as innovative as urban firms?
• What constraints are impeding the innovative capacity of firms?
• What strategies are innovative firms using to mitigate these constraints?

The target population for the survey was Nonmetro and metro establishments with 5 or more employees in tradable sectors (mining, manufacturing, wholesale trade, transportation and warehousing, finance, information, professional/technical/scientific services, arts and management of businesses). REIS used the Bureau of Labor Statistics (BLS) Quarterly Census of Employment and Wages Business Register for its sampling frame. Responses from 11,600 businesses were usable.

These data include responses from businesses in the Arts & Museums industry category. These businesses were oversampled by a factor of 3.3 to ensure reliable statistics.

The REIS data are restricted and require users to apply for access to the data. For permission to access to these data, visit the ERS Rural Economy Population: Business Industry page and scroll to the bottom of the page for contact information. If permission to access the data is granted, the data can be viewed through the NORC data enclave.

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 contains sample data from the 1990 Census weighted to represent the total population. Data items covered by the collection include age of householder, number of rooms and bedrooms, condominium status, contract rent, educational attainment of householder, gross rent, house heating fuel, household income, household type, presence and age of children, kitchen facilities, marital status, meals included in rent, means of transportation to work, mortgage status, number of persons in unit, persons per room, plumbing facilities, poverty status, presence of nonrelatives, selected monthly owner costs, telephone in unit, housing tenure, travel time to work, number of units in structure, value of housing unit, vehicles available, workers in household, year householder moved into unit, and year structure was built. In addition, the file contains 100-percent counts and unweighted sample counts for total persons and total housing units. The information is presented in 323 tables that are tabulated for every geographic unit represented in the data. There is one variable per table cell, plus additional variables with geographic information. Almost all of the tables are iterated by race and Hispanic origin: White, Black, American Indian, Eskimo or Aleut, Asian or Pacific Islander, Hispanic origin (of any race), and White, not of Hispanic origin.

All of the tables are shown for six levels of observation: United States, regions, divisions, states, Metropolitan Statistical Areas (MSA)/Consolidated Metropolitan Statistical Areas (CMSA), and Primary Metropolitan Statistical Areas. The data were supplied in eight data files, each with a portion of the cases. In addition, ICPSR produced a combined file with all of the cases.