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Curated

Census of Population and Housing, 1990 [United States]: Public Law 94-171, 1986 Test Census of Central Los Angeles County (ICPSR 8882)

Released/updated on: 1992-02-16
Geographic coverage: Mississippi, United States, Los Angeles, California
In preparation for the 1990 Census of Population and Housing, test censuses were conducted in central Los Angeles County and in east central Mississippi in order to test census procedures in representative urban and rural settings. Several goals were identified for the 1986 test censuses including (1) the examination of new techniques for automating questionnaire processing, (2) the production of maps from an automated geographic database, (3) the testing of a new questionnaire design, and (4) a review of adjustment methodology. This data collection offers complete-count data for central Los Angeles County on race and Spanish origin for total persons and for those 18 years and over.
Curated

Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, 100-Percent Summary Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin (ICPSR 3020)

Released/updated on: 2008-05-21
Geographic coverage: United States
This collection provides 100-percent data from the Census 2000 Dress Rehearsal conducted in 1998 in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. The collection includes data on population, race, Hispanic/Latino origin, age, sex, marital status, family type and presence of own children, household relationship, household type and size, and group quarters. There are 104 population (P) and 42 housing (H) tables that provide data down to the block level. There are 29 additional population tables that provide data down to the census tract level. Also provided are accompanying map files, including Census Block and Census Tract Maps, in two formats, Portable Document Format (PDF) for viewing and Hewlett-Packard Graphics Language (HP-GL) for plotting large-scale maps. The Corner Point files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal 100-Percent Summary Files map products.
Curated

Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, P.L. 94-171 Redistricting Data, Geographic Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin (ICPSR 2913)

Released/updated on: 2006-01-12
Geographic coverage: Sacramento, United States, Columbia (South Carolina), California, Wisconsin, South Carolina
The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topologically Integrated Geographic Encoding and Referencing) database. While the geographic coverage for a single TIGER/Line File is usually a county or statistical equivalent entity, the 1998 Dress Rehearsal TIGER/Line Files include only those entities included in the Dress Rehearsal with the coverage area based on January 1, 1998, legal boundaries. The Census's TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each 1998 Dress Rehearsal TIGER/Line File is designed to stand alone as an independent dataset. The TIGER/Line Files for each distinct geographic area can also be combined to show the entire area that was included in the Dress Rehearsal for that site. There are a total of 17 record types in the TIGER/Line Files, including the basic data record, the shape coordinate points, and geographic codes, that can be used with appropriate software to prepare maps. A complete list of codes for the record types can be found in Chapter 6 of the Technical Documentation for TIGER/Line Files (Part 603).
Curated

CensusScope (ICPSR 132)

Released/updated on: 2006-03-08
Geographic coverage: United States
Launched in 2001, CensusScope is an online data analysis tool created by the Social Science Data Analysis Network (SSDAN) at the University of Michigan. Designed for investigating United States demographic trends (using Census data from 1980, 1990, and 2000), the CensusScope Web site provides charts, maps, and rankings that illustrate population growth and trends for states, counties, and metropolitan areas.
Curated

Comparison of Methods for Learning Choropleth Maps [1988-1990: United States] (ICPSR 9759)

Released/updated on: 2006-01-12
Geographic coverage: United States
The purpose of this study was to gather information on how people learn choropleth maps and to determine which of various computer display methods is most appropriate for learning this type of map. Software was developed to enable users to explore data commonly portrayed as a choropleth map. The software was then tested in controlled experiments using undergraduates at the University of Kansas. The design for Experiments I and II, which explored reactions to the sequencing of parts of a map as compared to the more traditional method of displaying a map all at once, consisted of formal and informal portions. In the formal portion, the actual effectiveness of traditional and sequenced maps was examined. The speed and accuracy of information acquisition and retention (memory) of subjects was the focus of this phase. In the informal portion, subjects viewed several display methods and (1) picked their most and least preferred methods, (2) explained their preferences, and (3) suggested alternative display methods. Dataset 1 contains data collected in association with the publication listed below. Datasets 2 and 3 consist of data from Experiments I and II, respectively, while Dataset 4 is a text file containing the verbal protocols used for Experiment I.
Curated

County Boundaries of Selected United States Territories/States, 1790-1980 (ICPSR 9025)

Released/updated on: 2006-01-12
Geographic coverage: Indiana, United States, South Dakota, Minnesota, Delaware, New Jersey, Michigan, Pennsylvania, Iowa, Illinois, Missouri, Ohio, North Dakota, Maryland, Wisconsin
Time period: 1790-01-01--1980-01-01
This cartographic database was created at the University of Wisconsin-Madison Cartographic Laboratory in conjunction with the Newberry Library and the National Endowment for the Humanities. The collection makes it possible to plot any or all of the territorial/state and county boundaries in the region covered by the states of North and South Dakota, Minnesota, Iowa, Missouri, Wisconsin, Illinois, Michigan, Indiana, Ohio, Pennsylvania, New Jersey, Maryland, and Delaware. The data collection also contains the county names, the names and locations of the corresponding capitals and county seats, and information on the shoreline along the Great Lakes and the Atlantic Ocean. All changes in lines, locations, and names are dated to the day according to their legally effective dates. The data collection consists of 38 data files. Part 1 contains all of the cartesian coordinates (in digitizer units) required to define the historical county boundaries for those 14 states. Part 2 contains the "control" needed to convert digitizer units into latitude and longitude. The remaining 36 files contain all of the descriptive information needed to build the appropriate cartographic base for any given date.
Curated

Evaluation of the Community Supervision Mapping System for Released Prisoners in Rhode Island, 2008-2010 (ICPSR 32004)

Released/updated on: 2014-09-30
Geographic coverage: Rhode Island, United States
Time period: 2008-01-01--2010-01-01
This study evaluated the Community Supervision Mapping System (CSMS), an online geospatial tool that enables users to map the formerly incarcerated and others on probation, along with related data such as service provider locations and police districts. Probation officers in the state of Rhode Island were surveyed a few weeks before and 18 months after the implementation of CSMS. A total of 56 probation officers participated in the first wave of the study (pre-implementation survey), and 52 probation officers participated in the second wave (post-implementation survey), yielding an overall sample size of 108 probation officers. Dataset 1 contains the data for both waves of the study. The dataset is comprised of 140 variables. Both waves of the study examined the following categories of variables: the probation officer's professional background, contact with clients, amount of time spent on job duties specific to the profession, contact with other agencies, and computer usage. The second wave added 86 variables to explore officers' experiences with CSMS, which features they used, how it impacted their work, and their expected use of CSMS in the future.
Curated

Geographic Base File/Dual Independent Map Encoding (GBF/DIME), 1980 (ICPSR 8378)

Released/updated on: 2006-01-12
Geographic coverage: United States
Time period: 1978-01-01--1980-01-01
A Geographic Base File is a map in machine-readable form, and Dual Independent Map Encoding is the method used for this collection to encode map features in data files. These files have been created for most metropolitan areas. GBF/DIME does not contain individual house addresses, names, or other means of identifying individuals, and it does not contain statistical information. This collection provides a means to structure, compare, and display data, and relate this information to small geographic areas. ICPSR also has the Special Program Information Tape (SPIT) produced by the Census Bureau (See ICPSR 8372), which contains several computer programs designed for use with the GBF/DIME files.
Curated

Geographic Names Information System: National Geographic Names Data Base, Michigan Geographic Names (ICPSR 8374)

Released/updated on: 2006-01-18
Geographic coverage: United States, Michigan
The Geographic Names Information System (GNIS) was developed by the United States Geological Survey (USGS) to meet major national needs regarding geographic names and their standardization and dissemination. This dataset consists of standard report files written from the National Geographic Names Data Base, one of five data bases maintained in the GNIS. A standard format data file containing Michigan place names and geographic features such as towns, schools, reservoirs, parks, streams, valleys, springs and ridges is accompanied by a file that provides a Cross-Reference to USGS 7.5 x 7.5 minute quadrangle maps for each feature. The records in the data files are organized alphabetically by place or feature name. The other variables available in the dataset include: Federal Information Processing Standard (FIPS) state/county codes, Geographic Coordinates -- latitude and longitude to degrees, minutes, and seconds followed by a single digit alpha directional character, and a GNIS Map Code that can be used with the Cross-Reference file to provide the name of the 7.5 x 7.5 minute quadrangle map that contains that geographic feature.
Curated

Geographic Names Information System: National Geographic Names Data Base, Populated Places in the United States (ICPSR 8369)

Released/updated on: 2006-01-12
Geographic coverage: North Carolina, Indiana, Wyoming, Utah, Guam, Virgin Islands of the United States, Arizona, Montana, Kentucky, California, Kansas, Florida, Delaware, Pennsylvania, Mississippi, Iowa, Illinois, Texas, Connecticut, Georgia, Virginia, Maryland, Idaho, Oregon, Vermont, Puerto Rico, United States, Oklahoma, Tennessee, Maine, Alabama, Arkansas, Washington, South Carolina, Nebraska, West Virginia, Massachusetts, Colorado, Missouri, Alaska, North Dakota, Wisconsin, Nevada, New York, District of Columbia, Rhode Island, South Dakota, Hawaii, Minnesota, New Jersey, Michigan, New Mexico, New Hampshire, Louisiana, Ohio
The Geographic Names Information System (GNIS) was developed by the United States Geological Survey (USGS) to meet major national needs regarding geographic names and their standardization and dissemination. This dataset consists of standard report files written from the National Geographic Names Data Base, one of five data bases maintained in the GNIS. A standard format data file for each of the fifty States, the District of Columbia and the four Insular Territories of the United States is included, as well as a file that provides a Cross-Reference to USGS 7.5 x 7.5 minute quadrangle maps. The records in the data files are organized in an alphabetized listing of all of the names in a particular state or territory. The other variables available in the dataset include: Federal Information Processing Standard (FIPS) state/county codes, Geographic Coordinates-- latitude and longitude to degrees, minutes, and seconds followed by a single digit alpha directional character, and a GNIS Map Code that can be used with the Cross-Reference file to provide the name of the 7.5 x 7.5 minute quadrangle map that contains that geographic feature.
Curated

Reentry Mapping Network Project in Milwaukee, Wisconsin, Washington, DC, and Winston-Salem, North Carolina, 2003-2004 (ICPSR 20560)

Released/updated on: 2010-07-30
Geographic coverage: North Carolina, Milwaukee, District of Columbia, United States, Winston-Salem, Wisconsin
Time period: 2003-01-01--2003-12-31, 2004-01-01--2004-12-31, 2003-01-01--2003-12-31
The Urban Institute established the Reentry Mapping Network (RMN), a group of jurisdictions applying a data-driven, spatial approach to prisoner reentry. The purpose of the study was to examine three National Institute of Justice-funded RMN sites: Milwaukee, Wisconsin, Washington, DC, and Winston-Salem, North Carolina. As members of the Reentry Mapping Network, the three sites collected local data related to incarceration, reentry, and community well-being. The Nonprofit Center of Milwaukee's Neighborhood Data Center was the lead Reentry Mapping Network partner in Milwaukee. Data on a total of 168 census tracts in Milwaukee (Part 1) during the calendar year 2003 were obtained from the Wisconsin Department of Corrections. NeighborhoodInfo DC was the lead reentry mapping network partner in Washington, DC. Data on a total of 7,286 ex-offenders in Washington, DC (Part 2) during the calendar year 2004 were obtained from the Court Services and Offender Supervision Agency (CSOSA) for the District of Columbia. The Winston-Salem Reentry Mapping Network project was managed by the Center for Community Safety (CCS), a public service and research center of Winston-Salem State University. Data on a total of 2,896 ex-offenders in Forsyth County (Part 3) during the calendar year 2003 were obtained from the North Carolina Department of Corrections (DOC), the Forsyth County Sheriff's Department (Forsyth County Detention Center [FCDC]), and the North Carolina Department of Juvenile Justice and Delinquency Prevention (DJJDP). The Milwaukee, Wisconsin Data (Part 1) contain a total of 95 variables including race, ethnicity, gender, marital status, education, job status, dependents, general risk assessment, alcohol risk, drug risk, need for alcohol treatment, and need for drug treatment. Also included are four geographic variables. The Washington, DC Data (Part 2) contain a total of 13 variables including supervision type, whether supervision began in calendar year 2004, date supervision period began, date supervision period ended, sex, marital status, ethnicity, age, education, unemployment status, state, and Census tract. The Winston-Salem, North Carolina Data (Part 3) contain a total of 14 variables including race, sex, primary offense, admittance date, date pardoned, street, city, state, status, jurisdiction, and age at admission.
Curated

Regional Crime Analysis Geographic Information System (RCAGIS) (ICPSR 3372)

Released/updated on: 2002-05-29
The Regional Crime Analysis GIS (RCAGIS) is an Environmental Systems Research Institute (ESRI) MapObjects-based system that was developed by the United States Department of Justice Criminal Division Geographic Information Systems (GIS) Staff, in conjunction with the Baltimore County Police Department and the Regional Crime Analysis System (RCAS) group, to facilitate the analysis of crime on a regional basis. The RCAGIS system was designed specifically to assist in the analysis of crime incident data across jurisdictional boundaries. Features of the system include: (1) three modes, each designed for a specific level of analysis (simple queries, crime analysis, or reports), (2) wizard-driven (guided) incident database queries, (3) graphical tools for the creation, saving, and printing of map layout files, (4) an interface with CrimeStat spatial statistics software developed by Ned Levine and Associates for advanced analysis tools such as hot spot surfaces and ellipses, (5) tools for graphically viewing and analyzing historical crime trends in specific areas, and (6) linkage tools for drawing connections between vehicle theft and recovery locations, incident locations and suspects' homes, and between attributes in any two loaded shapefiles. RCAGIS also supports digital imagery, such as orthophotos and other raster data sources, and geographic source data in multiple projections. RCAGIS can be configured to support multiple incident database backends and varying database schemas using a field mapping utility.
Curated

Special Program Information Tape (ICPSR 8372)

Released/updated on: 2006-01-12
Geographic coverage: United States
This collection of computer programs and test data files was compiled by the Census Bureau for use with GEOGRAPHIC BASE FILE/DUAL INDEPENDENT MAP ENCODING (GBF/DIME), 1980 (ICPSR 8378). This collection consists of files grouped into five categories: Special Program Information Tape (SPIT) Datasets, UNIMATCH System Datasets, ADMATCH System Datasets, EASYMAP System Datasets, and EASYCORD System Datasets. Some of the capabilities of the programs in this collection include: mapping files for which complicated data manipulation is required, generating individualized lists of candidates for carpools, linking of records on the basis of street address, creating shaded area maps for statistical display, and producing a map coordinate system.
Curated

United States Geological Survey Digital Cartographic Data Standards: Digital Line Graphs from 1:2,000,000-Scale Maps (ICPSR 8379)

Released/updated on: 2006-01-18
Geographic coverage: Vermont, New York, Rhode Island, United States, Maine, Connecticut, New Hampshire
This dataset consists of cartographic data in digital line graph (DLG) form for the northeastern states (Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island and Vermont). Information is presented on two planimetric base categories, political boundaries and administrative boundaries, each available in two formats: the topologically structured format and a simpler format optimized for graphic display. These DGL data can be used to plot base maps and for various kinds of spatial analysis. They may also be combined with other geographically referenced data to facilitate analysis, for example the Geographic Names Information System.
Curated

World Data Bank II: North America, South America, Europe, Africa, Asia (ICPSR 8376)

Released/updated on: 2006-01-18
Geographic coverage: South America, Canada, United States, Asia, Europe, Africa, North America
The boundaries of five different geographic areas -- North America, South America, Europe, Africa, and Asia -- are digitally represented in this collection of data files that can be used in the production of computer maps. Each of the five areas is encoded in three distinct files: (1) coastline, islands, and lakes, (2) rivers, and (3) international boundaries. There is an additional file for North America (Part 4: North America: Internal Boundaries) delineating state lines in the United States and provincial boundaries in Canada. The data in each of the files is hierarchically structured into subordinate geographic features and ranks, which may be used for output plotting symbol definition. The mapping scale used to encode the data ranged from 1:1 million to 1:4 million.
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