Showing 1 – 7 of 7 results.
Curated
Simple Crosstabs
National Neighborhood Crime Study, Wave 2 (NNCS2), [United States], 1999-2013 (ICPSR 38483)
Released/updated on: 2023-01-25
Geographic coverage: United States
Time period: 1999-01-01--2013-12-31, 2010-01-01--2013-12-31
The primary purpose of the second wave of the National Neighborhood Crime Study (NNCS2) was to develop a panel dataset of serious reported crimes in urban neighborhoods circa two time points - 2000 and 2010. These data offer the opportunity to assess the sources and consequences of neighborhood crime change for "communities" of different ethno-racial and economic compositions across the United States. The study also sought to examine the role of a neighborhood's broader ecology on crime levels and crime change by integrating indicators of city and/or metropolitan conditions. The NNCS2 includes two datasets. The first dataset, the NNCS2-Panel file (NNCS2-P), contains information on the Federal Bureau of Investigation's (FBI) Part 1 Index crimes (except arson), socioeconomic and demographic characteristics, and a variety of other neighborhood and city level controls for circa 2000 and 2010 for tracts in 81 of the 91 cities in the NNCS, wave 1. The second dataset, the NNCS2-Cross-Sectional file (NNCS2-CS), allows for examination of the local and contextual sources of neighborhood crime inequality circa 2010. The NNCS2-CS incorporates parallel data for census tracts and cities as in the Panel file, but includes a few additional cities for which panel data could not be compiled, as well information on the metropolitan areas within which cities are located.
Curated
National Neighborhood Crime Study (NNCS), 2000 (ICPSR 27501)
Released/updated on: 2010-05-05
Geographic coverage: United States
Time period: 2000-01-01--2000-12-31
The primary purpose of the National Neighborhood Crime Study (NNCS) was to assemble tract-level crime and sociodemographic data for cities across the United States in order to permit analyses of the sources of crime for "communities" of different racial-ethnic and class composition. The NNCS also sought to examine the extent to which the causes of crime in communities are contingent on the types of geographic region, labor market, or other contextual characteristics. To fulfill these purposes, the NNCS compiled crime and sociodemographic data for census tracts in a representative sample of large United States cities for 2000. The dataset includes: (1) tract-level crime data pertaining to seven of the FBI's crime index offenses; (2) tract-level information on social disorganization, structural disadvantage, socioeconomic inequality, mortgage lending, and other control variables garnered from the 2000 United States Census of Population and Housing Summary File 3 (SF3) and other publicly available sources; (3) city-level information for the city in which the tract is located, focused on labor market structure, socioeconomic inequality, population change, and other control variables; and (4) metropolitan area data for the Metropolitan Statistical Area (MSA) or Primary Metropolitan Statistical Area (PMSA) in which the tract is located, focused on labor market structure, socioeconomic inequality, population change, and other control variables (also taken from the 2000 Census and other publicly available sources). The NNCS contains data for 9,593 census tracts in 91 cities in 64 metropolitan areas. (Please see the collection note section for additional information about variable naming.)
Curated
Survey of Consumer Finances, 1998 (ICPSR 3155)
Released/updated on: 2006-03-30
Geographic coverage: United States
Time period: 1998-01-01--1998-12-31
The purpose of this data collection effort was to provide an accurate representation of the distribution of elements composing family balance sheets across families in the United States. To that end, the 1998 Survey of Consumer Finances was designed to gather household-level information closely comparable to that obtained in the SURVEY OF CONSUMER FINANCES, 1995 (ICPSR 2193). Detailed data were collected on the composition of household budgets, the terms of loans, and relationships with financial institutions. Information was also obtained on the employment history and pension rights of the survey respondent and the spouse or partner of the respondent. Detailed data were also gathered on characteristics of the survey respondent's housing and vehicle(s). In addition to recording data on the economic assets and liabilities of families, the survey examined the attitudes of consumers toward credit use and their reactions to consumer credit regulations, and lines of credit. Demographic variables include age, sex, marital status, housing, and financial independence.
Curated
Survey of Consumer Finances, 1992 (ICPSR 6729)
Released/updated on: 2006-03-30
Geographic coverage: United States
Time period: 1992-01-01--1992-08-31
The purpose of this data collection effort was to provide an accurate representation of the distribution of elements composing family balance sheets across families in the United States. To that end, the 1992 Survey of Consumer Finances was designed to gather household-level information closely comparable to that obtained in the SURVEY OF CONSUMER FINANCES, 1989 (ICPSR 9687). Detailed data were collected on the composition of household budgets, the terms of loans, and relationships with financial institutions. Information was also obtained on the employment history, pension rights, and housing characteristics of the survey respondent and the spouse or partner of the respondent. In addition to recording data on the economic assets and liabilities of families, the survey examined the attitudes of consumers toward credit use and their reactions to consumer credit regulations. Demographic variables include age, sex, marital status, housing, and financial independence.
Curated
Survey of Consumer Finances, 1989 (ICPSR 9687)
Released/updated on: 2006-03-30
Geographic coverage: United States
Time period: 1989-01-01--1989-12-31
The purpose of this data collection effort was to provide an accurate representation of the distribution of elements composing family balance sheets across families in the United States. To that end, the 1989 Survey of Consumer Finances was designed to gather household-level information closely comparable to that obtained in the SURVEY OF CONSUMER FINANCES, 1983 (ICPSR 9751). Detailed data were collected on the composition of household budgets, the terms of loans, and relationships with financial institutions. Information was also obtained on employment history and pension rights of the survey respondent and the spouse or partner of the respondent. In addition to recording data on the economic assets and liabilities of families, the survey examined the attitudes of consumers toward credit use and their reactions to consumer credit regulations. Demographic variables include age, sex, marital status, housing, and financial independence.
Curated
Survey of Consumer Finances, 1983 (ICPSR 9751)
Released/updated on: 2006-01-18
Geographic coverage: United States
Time period: 1982-01-01--1983-12-31
The focus of this survey was the estimation of the debt obligations and asset holdings of a nationally representative sample of American families, and their use of financial institutions. A complete, detailed inventory of household assets and debts including businesses, pensions, properties, and financial transactions was collected along with demographic data and a comprehensive work history for primary family members. In addition to recording data on the economic assets and liabilities of 4,103 families, the survey examined the attitudes of consumers toward credit use, their reactions to new financial instruments and to consumer credit regulations, and their knowledge of consumer pension rights and benefits. Data on reasons for various financial choices and attitudes toward financial risk and liquidity were also collected. Information that permits estimation of pension and Social Security wealth was gathered as well. Data for this collection exist in two versions: raw data prepared by the University of Michigan's Survey Research Center and recoded data, prepared by the Federal Reserve Board. The latter file was produced by the Federal Reserve Board using a series of consistency checks and imputation procedures to edit the raw data and estimate values for missing data. Additional weights were constructed and included in the recoded data file. New variables were also constructed directly from original variables and, in addition, were created by matching information from other sources such as the U.S. Census.
Curated
Survey of Consumer Finances Panel Survey, 1983-1989 (ICPSR 6892)
Released/updated on: 1997-07-29
Geographic coverage: United States
Time period: 1983-01-01--1989-12-31
The 1983-1989 Survey of Consumer Finances (SCF) Panel dataset provides a linked set of panel data from respondents to both the 1983 (ICPSR 9751) and the 1989 (ICPSR 9687) SCF surveys. Data from these surveys were used to construct variables for the panel cases that are comparable to those available directly for the cross-section cases. In addition, this data collection includes panel data not available in the previously released 1983 and 1989 cross-sectional SCF studies. Data from the 1986 SCF (ICPSR 9753) were treated only as a source of limited information for the construction of the cross-sectional variables and are otherwise not included. This dataset is not intended to reproduce the cross-section results from the 1983 or 1989 SCF. Cross-sectional items from 1983 and 1989 in this data collection include the composition of family balance sheets, terms of loans, relationships with financial institutions, pension status of the survey respondent and the spouse or partner of the respondent, economic assets and liabilities of families, attitudes of consumers toward credit use, and their reactions to consumer credit regulations. Demographic variables include age, gender, marital status, housing, and financial independence. Panel survey issues focused on changes in marital status, household composition, and work history, including number of employers in the past 36 months, reason for leaving job, number of months of full-time and part-time work in the past 36 months, and pension plan status for the respondent and the respondent's spouse. Gender, marital status, and age data were also collected for new household members.