34 datasets found
  1. U

    1970's Land use data refined with 1990 population data to indicate new...

    • data.usgs.gov
    • search.dataone.org
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    United States Geological Survey, 1970's Land use data refined with 1990 population data to indicate new residential development for the conterminous United States [Dataset]. http://doi.org/10.5066/P9XAUZJY
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    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    1991 - 1999
    Area covered
    Contiguous United States, United States
    Description

    This data set represents U.S. Geological Survey (USGS) historical Land Use and Land Cover (LULC) from the 1970's that has been refined with 1990 population density at the block group level to indicate new residential development representative of the 1990's. Any area having a population density of at least 1,000 people per square mile had been re-classified as "urban" land in this data set.

  2. Office for Civil Rights School District File, 1970 [United States]: School...

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Dec 9, 2002
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    United States Department of Education. Office for Civil Rights (2002). Office for Civil Rights School District File, 1970 [United States]: School Desegregation Database [Dataset]. http://doi.org/10.3886/ICPSR03530.v1
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    spss, sas, asciiAvailable download formats
    Dataset updated
    Dec 9, 2002
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Education. Office for Civil Rights
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/3530/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3530/terms

    Time period covered
    1970 - 1971
    Area covered
    United States
    Description

    This file, part of a data collection effort carried out annually from 1968-1974 to look at issues of school desegregation, contains selected school district-level racial and ethnic data about students and staff for the academic year 1970-1971. The data were collected using OCR Form OS/CR 101. Each district record for each separate year of the series is identical, containing fields for all district data elements surveyed in every year. Where a particular item was not surveyed for a specific year, its corresponding field is zero (for numeric fields) or blank (for alphanumeric fields). Counts of students in various racial and ethnic groups are provided and then further categorized across additional dimensions, including whether resident or non-resident, emotionally disturbed, physically or learning disabled, or requiring special education. Other categories include school-age children in public and non-public schools or not in school, dropouts, and those expelled or suspended. Racial and ethnic counts of full-time classroom teachers and full-time instructional staff are also supplied. Other variables focus on the number of schools in the district that used ability grouping, whether a district had single-sex schools, whether students of different sexes were required to take different courses, the number of students whose language was not English, whether bilingual instruction was used, the number of schools being newly built or modified to increase capacity, the racial composition of new schools, and whether there was litigation.

  3. c

    Census of Population and Housing, 1970: Extract Data

    • archive.ciser.cornell.edu
    Updated Jan 30, 2020
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    Terry Adams (2020). Census of Population and Housing, 1970: Extract Data [Dataset]. http://doi.org/10.6077/j5/yj3hl9
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    Dataset updated
    Jan 30, 2020
    Authors
    Terry Adams
    Variables measured
    GeographicUnit
    Description

    This extraction of data from 1970 decennial Census files (CENSUS OF POPULATION AND HOUSING, 1970 UNITED STATES: SUMMARY TAPE FILES 4A, 4B, 4C (ICPSR 9014, 8127, 8107) and STF 5A, 5B, and 5C) was designed to provide a set of contextual variables to be matched to any survey dataset that has been coded for the geographic location of respondents, such as the PANEL STUDY OF INCOME DYNAMICS, 1968-1988 (ICPSR 7439). This geographic area data can also be analyzed independently with neighborhoods, labor market areas, etc., as the units of analysis. Over 120 variables were selected from the original Census sources, and more than 100 variables were derived from those component variables. The variables characterize geographic areas in terms of population counts, ethnicity, family structure, income and poverty, education, residential mobility, labor force activity, and housing. The geographic areas range from neighborhoods, through intermediate levels of geography, through large economic areas, and beyond to large regions. These variables were selected from the Census data for their relevance to problems associated with poverty and income determination, and 80 percent were present in comparable form in both the 1970 and 1980 Census datasets. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09694.v3. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

  4. d

    Data from: Classes of land-surface form in the United States

    • catalog.data.gov
    • data.usgs.gov
    Updated Nov 30, 2024
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    U.S. Geological Survey (2024). Classes of land-surface form in the United States [Dataset]. https://catalog.data.gov/dataset/classes-of-land-surface-form-in-the-united-states
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    Dataset updated
    Nov 30, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    This digital dataset describes classes of land-surface form in the conterminous United States. The source of the data is the map of land-surface form in the 1970 National Atlas of the United States, pages 62-63, which was adapted from Edwin H. Hammond, "Classes of land surface form in the forty-eight states, U.S.A," Annals of the Assoc. of Am. Geographers, v.54, no. 1, 1964, map supp. no. 1, 1:5,000,000.

  5. c

    Census of Population and Housing, 1980: 1970-Pre 1980 Tract Relationships

    • archive.ciser.cornell.edu
    Updated Jul 13, 2010
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    Bureau of the Census (2010). Census of Population and Housing, 1980: 1970-Pre 1980 Tract Relationships [Dataset]. http://doi.org/10.6077/j5/unirjz
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    Dataset updated
    Jul 13, 2010
    Dataset authored and provided by
    Bureau of the Census
    Variables measured
    GeographicUnit
    Description

    This data collection presents information on the general comparability between the Census tracts in 1970 and the pre-1980 Census tracts, which were identified in late 1978 and used in enumerating the 1980 Census. The file provides state, county, and tract codes for 1970 and pre-1980. In addition, it has the number of pre-1980 Census tracts with territory in common with the 1970 tracts, and the number of 1970 tracts with territory in common with the pre-1980 tracts. All tracted areas in the United States are covered. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07913.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  6. Data from: Firearm Legislation and Firearm Violence Across Space and Time,...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Firearm Legislation and Firearm Violence Across Space and Time, United States, 1970-2012 [Dataset]. https://catalog.data.gov/dataset/firearm-legislation-and-firearm-violence-across-space-and-time-united-states-1970-2012-63ccb
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    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. The study constructed a comprehensive, longitudinal dataset of all counties nested within U.S. States from 1970 to 2012. The study's main purpose was to facilitate research that would further understanding on firearm legislation and its impacts on violence. This comprehensive data collection effort included information on firearm legislation implemented across U.S. States over time in combination with multiple measures of firearm-related violence and injury. Moreover, to better understand the conditions under which firearm legislation is more or less effective, incorporation of county characteristics allowed for examination of whether the effectiveness of state-level firearm legislation depends upon particular characteristics of counties. The researchers conducted a secondary analysis utilizing a variety of archived external government and census sources. The Study's Dataset Include two Stata Files: CJRC_firearms_research.dta (95 Variables, 129,027 Cases) state_law_data.dta (19 Variables, 2,168 Cases)

  7. Census of Population and Housing, 1970: Public Use Sample, 5% Neighborhood...

    • archive.ciser.cornell.edu
    Updated Jan 7, 2020
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    Bureau of the Census (2020). Census of Population and Housing, 1970: Public Use Sample, 5% Neighborhood Characteristics, 1 in 1000 [Dataset]. http://doi.org/10.6077/j5/jozapf
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    Dataset updated
    Jan 7, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census
    Variables measured
    GeographicUnit, Household, Individual
    Description

    This data collection contains 132 Public Use Microdata Samples (PUMS) files from the 1970 Census of Population and Housing. Information is provided in these files on the housing unit, such as occupancy and vacancy status of house, tenure, value of property, commercial use, year structure was built, number of rooms, availability of plumbing facilities, sewage disposal, bathtub or shower, complete kitchen facilities, flush toilet, water, telephone, and air conditioning. Data are also provided on household characteristics such as the number of persons aged 18 years and younger in the household, the presence of roomers, boarders, or lodgers, the presence of other nonrelative and of relative other than wife or child of head of household, the number of persons per room, the rent paid for unit, and the number of persons with Spanish surnames. Other demographic variables provide information on age, race, marital status, place of birth, state of birth, Puerto Rican heritage, citizenship, education, occupation, employment status, size of family, farm earnings, and family income. This hierarchical data collection contains approximately 214 variables for the 15-percent sample, 227 variables for the 5-percent sample, and 117 variables for the neighborhood characteristics sample. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR00018.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  8. Data from: National Jail Census, 1970

    • icpsr.umich.edu
    • catalog.data.gov
    ascii, sas, spss +1
    Updated Nov 4, 2005
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    United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics (2005). National Jail Census, 1970 [Dataset]. http://doi.org/10.3886/ICPSR07641.v2
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    ascii, sas, stata, spssAvailable download formats
    Dataset updated
    Nov 4, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7641/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7641/terms

    Time period covered
    1969 - 1970
    Area covered
    United States
    Description

    This census provides information on county and municipal jails facilities in the United States and their administration. For all jails, the data include number of prisoners and their reason for being held, age and sex of prisoners, maximum sentence that could be served in the facility, facility capacity and age, types of security available, and operating expenditures. For jails in counties and municipalities with populations of 25,000 or more, data are supplied on quarterly jail population, age of cells, and availability of service facilities and programs for inmates.

  9. Data from: Six-Year Follow-up Study on Career Criminals, 1970-1976: [United...

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Six-Year Follow-up Study on Career Criminals, 1970-1976: [United States] [Dataset]. https://catalog.data.gov/dataset/six-year-follow-up-study-on-career-criminals-1970-1976-united-states-7bd8d
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    The major objective of the Six-year Follow-up Study on Career Criminals was to provide data describing the effects of sentencing decisions on the behavior of career criminals. A second purpose was to develop programs to target career offenders at the time of sentencing who were likely to commit crimes in the future and incarcerate them accordingly. The data collection includes detailed demographic background and complete prior and follow-up criminal records for each selected offender. There are two types of data sets in the study, the PSI data set based on pre-sentence investigation (PSI) reports, and the Parole data set based on Parole Commission records. The PSI data set describes each offender's demographic background, criminal history, and court entry/exit history. The Parole data set contains information about the offender's background characteristics, prior records of arrests, convictions, dispositions and sentences, and follow-up records for a period of six years. Arrests are described in terms of arrest date, offense charge, disposition, result of sentence, and months incarcerated.

  10. Historical Demographic, Economic, and Social Data: the United States, 1790 -...

    • archive.ciser.cornell.edu
    • icpsr.umich.edu
    Updated Jul 13, 2010
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    Inter-university Consortium for Political and Social Research (2010). Historical Demographic, Economic, and Social Data: the United States, 1790 - 1970 [Dataset]. http://doi.org/10.6077/rkx0-8504
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    Dataset updated
    Jul 13, 2010
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Area covered
    United States
    Variables measured
    GeographicUnit
    Description

    Detailed county and state-level ecological or descriptive data for the United States for the years 1790 to 1970 are contained in this collection. These data files contain extensive information about the social and political character of the United States, including a breakdown of population by state, race, nationality, number of families, size of the family, births, deaths, marriages, occupation, religion, and general economic conditions. Though not complete over the full time span of this study, statistics are available on such diverse subjects as total numbers of newspapers and periodicals, total capital invested in manufacturing, total numbers of educational institutions, total number of churches, taxation by state, and land surface area in square miles. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR00003.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  11. T

    United States Price to Rent Ratio

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2025
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    TRADING ECONOMICS (2025). United States Price to Rent Ratio [Dataset]. https://tradingeconomics.com/united-states/price-to-rent-ratio
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1970 - Dec 31, 2024
    Area covered
    United States
    Description

    Price to Rent Ratio in the United States increased to 134.20 in the fourth quarter of 2024 from 133.60 in the third quarter of 2024. This dataset includes a chart with historical data for the United States Price to Rent Ratio.

  12. U

    Census of population and housing, 1970 population summary statistic file 6

    • dataverse-staging.rdmc.unc.edu
    • dataverse.unc.edu
    pdf, txt
    Updated Nov 30, 2007
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    United States; United States (2007). Census of population and housing, 1970 population summary statistic file 6 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/C-45
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    txt(41454105), pdf(7997716), pdf(22581458), pdf(5273156), txt(52151837)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    Authors
    United States; United States
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/C-45https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/C-45

    Area covered
    Population, States, Central City(SMSA), Counties, SMSAs
    Description

    This file contains tables with a detailed breakdown on items such as occupation, industry, income, sex, race, education, mother tongue, nativity, parentage, and veterans' status.Summaries are given for States, SMSA's, metropolitan counties, central cities with 50,000 or more inhabitants.Data contained in the files pertain to the date of the census, April 1, 1970, except for selected items which relate to historical periods.

  13. Energy Prices, Dollars per Million Btu: Beginning 1970

    • data.ny.gov
    • datadiscoverystudio.org
    • +2more
    application/rdfxml +5
    Updated Jun 27, 2024
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    New York State Energy Research and Development Authority (2024). Energy Prices, Dollars per Million Btu: Beginning 1970 [Dataset]. https://data.ny.gov/Energy-Environment/Energy-Prices-Dollars-per-Million-Btu-Beginning-19/pzgr-wqm5
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    application/rdfxml, xml, json, csv, application/rssxml, tsvAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    New York State Energy Research and Development Authorityhttps://www.nyserda.ny.gov/
    Description

    New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per million Btu for the residential, commercial, industrial, and transportation sectors. This section includes a column in the price table displaying gross domestic product (GDP) price deflators for converting nominal (current year) dollars to constant (real) dollars. To convert nominal to constant dollars, divide the nominal energy price by the GDP price deflator for that particular year. Historical petroleum, electricity, coal, and natural gas prices were compiled primarily from the Energy Information Administration.

    How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

  14. d

    Mean Monthly Evaporation Atlas for the Contiguous 48 United States...

    • catalog.data.gov
    • data.globalchange.gov
    • +3more
    Updated Jun 15, 2024
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    Climate Adaptation Science Centers (2024). Mean Monthly Evaporation Atlas for the Contiguous 48 United States (1956-1970) [Dataset]. https://catalog.data.gov/dataset/mean-monthly-evaporation-atlas-for-the-contiguous-48-united-states-1956-1970
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    Dataset updated
    Jun 15, 2024
    Dataset provided by
    Climate Adaptation Science Centers
    Area covered
    Contiguous United States, United States
    Description

    TR-33: Maps are presented showing the areal distribution in the contiguous 48 states of evaporation (1) observed from Class A pans from from May through October, (2) estimated for a free water surface (FWS) and (3) estimated for an FWS for the entire year. A map is presented of the coefficients to convert from pan evaporation to FWS evaporation. Sources of data, analyses of the maps, and limitation on their use are described. TR-34: This publication is a compilation of monthly, seasonal, and annual averages of estimated pan evaporation based on observations from Class A pans and on meteorological measurements by the National Weather Service (NWS) and cooperating agencies. It replace Technical Paper No. 13 (U.S. Weather Bureau, Hydrologic Branch, Division of Climatological and Hydrologic Services, 1950). These tabulations were generated from the augmentation of a smaller data set used to develop evaporation maps published in NOAA Technical Report NWS-33, Evaporation Atlas for the Contiguous 48 United States, (Farnsworth et al., 1982). This report and its companion report, the evaporation atlas, should facilitate the determination of monthly values of evaporation at most points in the country.Farnsworth, R.K., Thompson, E.S., and Peck, E.L, 1982, Evaporation atlas for the contiguous 48 United States, NOAA Technical Report NWS 33, National Oceanic and Atmospheric Administration, Washington, DC, p. 27.Farnsworth, R.K. and Thompson, E.S., 1982, Mean monthly, seasonal, and annual pan evaporation for the United States, NOAA Technical Report NWS 34, National Oceanic and Atmospheric Administration, Washington, DC, p. 85.

  15. d

    Data from: Crime in Boomburb Cities: 1970-2004 [United States]

    • datasets.ai
    • icpsr.umich.edu
    • +1more
    0
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    Department of Justice, Crime in Boomburb Cities: 1970-2004 [United States] [Dataset]. https://datasets.ai/datasets/crime-in-boomburb-cities-1970-2004-united-states-15018
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    0Available download formats
    Dataset authored and provided by
    Department of Justice
    Area covered
    United States
    Description

    This study focused on the effect of economic resources and racial/ethnic composition on the change in crime rates from 1970-2004 in United States cities in metropolitan areas that experienced a large growth in population after World War II. A total of 352 cities in the following United States metropolitan areas were selected for this study: Atlanta, Dallas, Denver, Houston, Las Vegas, Miami, Orange County, Orlando, Phoenix, Riverside, San Bernardino, San Diego, Silicon Valley (Santa Clara), and Tampa/St. Petersburg. Selection was based on the fact that these areas developed during a similar time period and followed comparable development trajectories. In particular, these 14 areas, known as the "boomburbs" for their dramatic, post-World War II population growth, all faced issues relating to the rapid growth of tract-style housing and the subsequent development of low density, urban sprawls. The study combined place-level data obtained from the United States Census with crime data from the Uniform Crime Reports for five categories of Type I crimes: aggravated assaults, robberies, murders, burglaries, and motor vehicle thefts. The dataset contains a total of 247 variables pertaining to crime, economic resources, and race/ethnic composition.

  16. Social Correlates of Official Index Crime Rates for States, SMSAs, and...

    • search.gesis.org
    Updated Feb 16, 2021
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    GESIS search (2021). Social Correlates of Official Index Crime Rates for States, SMSAs, and Cities [United States]: A Macro-Level Dataset for 1950, 1960, 1970, and 1980 - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR06151
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    Dataset updated
    Feb 16, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de439481https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de439481

    Area covered
    United States
    Description

    Abstract (en): These data provide official index crime rates and social and economic indicators of crime rates at three levels of aggregation (city, state, and metropolitan areas) for four decennial years: 1950, 1960, 1970, and 1980. Information is provided on Uniform Crime Reports murder, rape, robbery, aggravated assault, burglary, larceny theft, and vehicle theft rates per 100,000 population. Social and economic indicators include percent black population, percent divorced males, the mean and median family incomes, families below the poverty line, and percent unemployed for each area. The availability of the data for the crime rates in 1980 determined the geographic locations included in the data collection. Data from earlier years do not exist for all geographic locations for which data were available in 1980. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. 2006-01-18 File CB6151.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. Funding insitution(s): National Science Foundation (SES8217865). The codebook is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

  17. p

    Ifremer / VIGIES (Information Valuation Service for Integrated Management...

    • pigma.org
    • sextant.ifremer.fr
    doi +1
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    EMODnet Chemistry, Ifremer / VIGIES (Information Valuation Service for Integrated Management and Monitoring) [Dataset]. https://www.pigma.org/geonetwork/srv/api/records/92ba2f22-4039-4f47-8027-dd4afb1cb93c
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    doi, www:download-1.0-link--downloadAvailable download formats
    Dataset provided by
    EMODnet Chemistry
    Area covered
    Description

    EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants (20 parameters), and covers the North East Atlantic Ocean with 2400 CDI records divided per matrices: 122 in biota (as time series), 1689 in water (as vertical profiles), 589 in sediment (478 Vertical profiles and 111 Time series). Vertical profiles temporal range is from 1970-07-29 to 2017-02-28. Time series temporal range is from 1979-02-28 to 2014-10-21. Data were aggregated and quality controlled by ‘IFREMER / IDM / SISMER - Scientific Information Systems for the SEA’ from France.
    Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary. The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ). The same dataset is offered also as XLSX file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc). The 20 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 . Detailed documentation will be published soon. The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search

  18. U

    Census of population and housing, 1970 population summary statistic file 4

    • dataverse-staging.rdmc.unc.edu
    • datasearch.gesis.org
    pdf, txt
    Updated Nov 30, 2007
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    United States; United States (2007). Census of population and housing, 1970 population summary statistic file 4 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/C-41
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    txt(22712743), txt(24786677), txt(44581192), txt(23384398), txt(5487710), txt(10601067), txt(18148354), txt(39082375), txt(16018317), txt(1252026), txt(7218513), txt(10766178), txt(14000929), txt(71879042), txt(18045350), txt(6234626), txt(70592269), txt(58620091), txt(20095513), txt(449768), txt(1377655), txt(70703602), txt(11060616), txt(34665050), txt(2277376), txt(16044014), txt(6594360), txt(41306160), txt(35048450), txt(5057559), txt(39608155), txt(5786999), txt(24893428), txt(4190215), txt(25615303), pdf(6060341), txt(7789645), txt(6328574), txt(16141435), txt(10842601), txt(46114767), txt(18871916), txt(6002499), txt(148482869), txt(11985823), txt(20607260), txt(24668076), txt(1999478), txt(6564463), txt(19763891), txt(10606518), txt(20883991), txt(15421659), txt(15424118), txt(26158835), txt(14043070), txt(20748638), txt(168372778), txt(5849247), txt(3384917), txt(47644487), txt(20607123), txt(42099749), txt(16865924), txt(1199349), txt(12437347), txt(17378916), txt(9242012), txt(32512409), txt(22104193), txt(1423274), txt(28423426), txt(12065210), txt(45765646), txt(34051488), txt(3274316), txt(30330328), txt(6568125), txt(72234670), txt(64886952), txt(10837510), txt(1213472), txt(35298563), txt(1505044), txt(7734944), txt(18376350), txt(8211522), txt(3029904), txt(29686452), txt(31340570), txt(10041340), txt(11699552), txt(21280010), txt(3254814), txt(29353604), txt(35020301), txt(10407787), txt(3990403), txt(16329926), txt(57940738), txt(3376106), pdf(18847799), txt(170872), txt(12199868), txt(5115672), pdf(22581458), txt(18735014), txt(38648439), txt(9144088), txt(3615766), txt(13189099), txt(17817967), txt(20960087), txt(977169), txt(1511452), txt(6159947), txt(6398871), txt(16951015), txt(14504133), txt(5732352), txt(63535263), txt(45606279), txt(10748657), txt(14572933), txt(4981335), txt(1969932), txt(19159028), txt(41538338), txt(6241570), txt(23524793), txt(4086416), txt(12749941), txt(15467931), txt(16592327), txt(3541389), txt(6862147), txt(6791645), txt(25074527), txt(1058566), txt(18946572), txt(10823740), txt(5520792), txt(33885252), txt(4041515), txt(6653869), txt(79988219), txt(25099842), txt(13669943), txt(6747104), txt(31817036), txt(2414734), txt(4447438), txt(16822471), txt(14748647)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    Authors
    United States; United States
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/C-41https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/C-41

    Area covered
    United States
    Description

    This fourth count population file contains identical information for 3 different levels of geography. The data cross-tabulated on the various tables on the file include occupation, industry, income and income components, years of school completed, family type, number of children, poverty status, nativity and parentage. Aggregate income figures for various categories are included for use on calculating means. Each table is presented for the urban population, rural-farm population, and rural-no nfarm population.The geographic coverage differs in all three files. In File A, summary statistics are presented for all census tracts. File B presents summary statistics for minor civil divisions or census county divisions. File C presents summaries for 20 levels of geography including States and state components, counties, places of 2,500 or greater, urbanized areas, SMSA's and the component parts of SMSAs.Data contained in the files pertain to the date of the census, April 1, 19 70, except for selected items which relate to historical periods

  19. H

    Woods & Poole Complete US Database

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 14, 2024
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    Woods & Poole (2024). Woods & Poole Complete US Database [Dataset]. http://doi.org/10.7910/DVN/ZCPMU6
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 14, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Woods & Poole
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/ZCPMU6https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/ZCPMU6

    Time period covered
    1970 - 2050
    Area covered
    United States
    Description

    The 2018 edition of Woods and Poole Complete U.S. Database provides annual historical data from 1970 (some variables begin in 1990) and annual projections to 2050 of population by race, sex, and age, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. The Complete U.S. Database contains annual data for all economic and demographic variables for all geographic areas in the Woods & Poole database (the U.S. total, and all regions, states, counties, and CBSAs). The Complete U.S. Database has following components: Demographic & Economic Desktop Data Files: There are 122 files covering demographic and economic data. The first 31 files (WP001.csv – WP031.csv) cover demographic data. The remaining files (WP032.csv – WP122.csv) cover economic data. Demographic DDFs: Provide population data for the U.S., regions, states, Combined Statistical Areas (CSAs), Metropolitan Statistical Areas (MSAs), Micropolitan Statistical Areas (MICROs), Metropolitan Divisions (MDIVs), and counties. Each variable is in a separate .csv file. Variables: Total Population Population Age (breakdown: 0-4, 5-9, 10-15 etc. all the way to 85 & over) Median Age of Population White Population Population Native American Population Asian & Pacific Islander Population Hispanic Population, any Race Total Population Age (breakdown: 0-17, 15-17, 18-24, 65 & over) Male Population Female Population Economic DDFs: The other files (WP032.csv – WP122.csv) provide employment and income data on: Total Employment (by industry) Total Earnings of Employees (by industry) Total Personal Income (by source) Household income (by brackets) Total Retail & Food Services Sales ( by industry) Net Earnings Gross Regional Product Retail Sales per Household Economic & Demographic Flat File: A single file for total number of people by single year of age (from 0 to 85 and over), race, and gender. It covers all U.S., regions, states, CSAs, MSAs and counties. Years of coverage: 1990 - 2050 Single Year of Age by Race and Gender: Separate files for number of people by single year of age (from 0 years to 85 years and over), race (White, Black, Native American, Asian American & Pacific Islander and Hispanic) and gender. Years of coverage: 1990 through 2050. DATA AVAILABLE FOR 1970-2019; FORECASTS THROUGH 2050

  20. r

    QoG Social Policy Dataset

    • researchdata.se
    Updated Aug 6, 2024
    + more versions
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    Jan Teorell; Richard Svensson; Marcus Samanni; Staffan Kumlin; Stefan Dahlberg; Bo Rothstein; Sören Holmberg (2024). QoG Social Policy Dataset [Dataset]. https://researchdata.se/en/catalogue/dataset/ext0004-1
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    (3977927)Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    University of Gothenburg
    Authors
    Jan Teorell; Richard Svensson; Marcus Samanni; Staffan Kumlin; Stefan Dahlberg; Bo Rothstein; Sören Holmberg
    Time period covered
    2002
    Area covered
    Hungary, Lithuania, Korea, the Republic of, Belgium, Mexico, Poland, Switzerland, Greece, Bulgaria, Denmark
    Description

    The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. Overall 30 researchers conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions. The primary aim of QoG is to conduct and promote research on corruption. One aim of the QoG Institute is to make publicly available cross-national comparative data on QoG and its correlates.The aim of the QoG Social Policy Dataset is to promote cross-national comparative research on social policy output and its correlates, with a special focus on the connection between social policy and Quality of Government (QoG).

    The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.

    The dataset was created as part of a research project titled “Quality of Government and the Conditions for Sustainable Social Policy”. The aim of the dataset is to promote cross-national comparative research on social policy output and its correlates, with a special focus on the connection between social policy and Quality of Government (QoG).

    The data comes in three versions: one cross-sectional dataset, and two cross-sectional time-series datasets for a selection of countries. The two combined datasets are called “long” (year 1946-2009) and “wide” (year 1970-2005).

    The data contains six types of variables, each provided under its own heading in the codebook: Social policy variables, Tax system variables, Social Conditions, Public opinion data, Political indicators, Quality of government variables.

    QoG Social Policy Dataset can be downloaded from the Data Archive of the QoG Institute at http://qog.pol.gu.se/data/datadownloads/data-archive Its variables are now included in QoG Standard.

    Samanni, Marcus. Jan Teorell, Staffan Kumlin, Stefan Dahlberg, Bo Rothstein, Sören Holmberg & Richard Svensson. 2012. The QoG Social Policy Dataset, version 4Apr12. University of Gothenburg:The Quality of Government Institute. http://www.qog.pol.gu.se

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United States Geological Survey, 1970's Land use data refined with 1990 population data to indicate new residential development for the conterminous United States [Dataset]. http://doi.org/10.5066/P9XAUZJY

1970's Land use data refined with 1990 population data to indicate new residential development for the conterminous United States

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Dataset authored and provided by
United States Geological Surveyhttp://www.usgs.gov/
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Time period covered
1991 - 1999
Area covered
Contiguous United States, United States
Description

This data set represents U.S. Geological Survey (USGS) historical Land Use and Land Cover (LULC) from the 1970's that has been refined with 1990 population density at the block group level to indicate new residential development representative of the 1990's. Any area having a population density of at least 1,000 people per square mile had been re-classified as "urban" land in this data set.

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