8 datasets found
  1. d

    Census of Population and Housing, 2000 [United States]: Summary File 3,...

    • datamed.org
    Updated Jan 12, 2006
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    United States Department of Commerce. Bureau of the Census (2006). Census of Population and Housing, 2000 [United States]: Summary File 3, Oklahoma [Dataset]. https://datamed.org/display-item.php?repository=0025&id=59d5388c5152c6518764a626&query=SNORD116-30%20census%20career
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    Dataset updated
    Jan 12, 2006
    Authors
    United States Department of Commerce. Bureau of the Census
    Area covered
    United States
    Description

    Summary File 3 contains sample data, which is the information compiled from the questions asked of a sample of all people and housing units in the United States. Population items include basic population totals as well as counts for the following characteristics: urban and rural, households and families, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status, year of entry, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include basic housing totals and counts for urban and rural, number of rooms, number of bedrooms, year moved into unit, household size and occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, and monthly rent and shelter costs. The Summary File 3 population tables are identified with a 'P' prefix and the housing tables are identified with an 'H,' followed by a sequential number. The 'P' and 'H' tables are shown for the block group and higher level geography, while the 'PCT' and 'HCT' tables are shown for the census tract and higher level geography. There are 16 'P' tables, 15 'PCT' tables, and 20 'HCT' tables that bear an alphabetic suffix on the table number, indicating that they are repeated for nine major race and Hispanic or Latino groups. There are 484 population tables and 329 housing tables for a total of 813 unique tables.

  2. a

    2020 ACS Demographic & Socio-Economic Data Of Oklahoma At Census Tract Level...

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated May 22, 2024
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    snakka_OSU_GEOG (2024). 2020 ACS Demographic & Socio-Economic Data Of Oklahoma At Census Tract Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/cf38f8a63cc649779740f403a6552081
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI).American Community Survey (ACS):Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.CDC/ATSDR Social Vulnerability Index (SVI):Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themesEach tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability.SVI data provides insights into the social vulnerability of communities at both the tract and county levels, helping public health officials and emergency response planners allocate resources effectively. In our utilization of these sources, we likely integrated data from both the ACS and the SVI to analyze and understand various socio-economic and demographic indicators at the state, county, and possibly tract levels. This integrated data would have been valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United StatesNote: Due to limitations in the ArcGIS Pro environment, the data variable names may be truncated. Refer to the provided table for a clear understanding of the variables.CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2014-2018 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2015-2019 ACSEP_PCIEP_PCIPer capita income estimate, 2015-2019 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2015-2019 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2015-2019 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2015-2019 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2015-2019 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computerThis table provides a mapping between the CSV variable names and the shapefile variable names, along with a brief description of each variable.

  3. a

    2020 ACS Demographic & Socio-Economic Data Of Oklahoma At County Level

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated May 22, 2024
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    snakka_OSU_GEOG (2024). 2020 ACS Demographic & Socio-Economic Data Of Oklahoma At County Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/d4d2db57688b49f397ba0938691dd410
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI). American Community Survey (ACS):

    Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States. The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions. It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households. The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.

    CDC/ATSDR Social Vulnerability Index (SVI):

    Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events. SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themes Each tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability. SVI data provides insights into the social vulnerability of communities at both the tract and county levels, helping public health officials and emergency response planners allocate resources effectively.

    In our utilization of these sources, we likely integrated data from both the ACS and the SVI to analyze and understand various socio-economic and demographic indicators at the state, county, and possibly tract levels. This integrated data would have been valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United States

    Note: Due to limitations in the ArcGIS Pro environment, the data variable names may be truncated. Refer to the provided table for a clear understanding of the variables.CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2015-2019 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2015-2019 ACSEP_PCIEP_PCIPer capita income estimate, 2015-2019 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2015-2019 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2015-2019 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2015-2019 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2015-2019 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computer

  4. Census of Population and Housing, 2000 [United States]: Summary File 2,...

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated May 24, 2013
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    United States. Bureau of the Census (2013). Census of Population and Housing, 2000 [United States]: Summary File 2, Oklahoma [Dataset]. http://doi.org/10.3886/ICPSR13269.v2
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    stata, sas, ascii, spssAvailable download formats
    Dataset updated
    May 24, 2013
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/13269/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/13269/terms

    Time period covered
    2000
    Area covered
    Oklahoma, United States
    Description

    Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people, that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.

  5. a

    2019 ACS Demographic & Socio-Economic Data Of Oklahoma At Zip Code Level

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated Apr 7, 2024
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    snakka_OSU_GEOG (2024). 2019 ACS Demographic & Socio-Economic Data Of Oklahoma At Zip Code Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/ffcbe4548cde4d7d8f6188fad083672c
    Explore at:
    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI). American Community Survey (ACS):

    Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States. The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions. It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households. The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.

    CDC/ATSDR Social Vulnerability Index (SVI):

    Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events. SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themes Each tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability. SVI data provides insights into the social vulnerability of communities at both the tract and county levels, helping public health officials and emergency response planners allocate resources effectively.

    In our utilization of these sources, we likely integrated data from both the ACS and the SVI to analyze and understand various socio-economic and demographic indicators at the state, county, and possibly tract levels. This integrated data would have been valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United States

    Note: Due to limitations in the ArcGIS Pro environment, the data variable names may be truncated. Refer to the provided table for a clear understanding of the variables.CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2014-2018 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2014-2018 ACSEP_PCIEP_PCIPer capita income estimate, 2014-2018 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2014-2018 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2014-2018 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2014-2018 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2014-2018 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computer

  6. a

    Mesonet Environmental Data In Oklahoma At CensusTract Level - 2017

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated Jun 11, 2024
    + more versions
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    snakka_OSU_GEOG (2024). Mesonet Environmental Data In Oklahoma At CensusTract Level - 2017 [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/e6e6e5795da84d908b91e73cbe5ed783
    Explore at:
    Dataset updated
    Jun 11, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    Metadata:Data Provider: Oklahoma MesonetData Link: Daily SummariesLast Update Time: October 10, 2023Start Date: January 1, 2010End Date: December 31, 2010Update Frequency: DailyAdmin Unit: CensustractMeasurement Criteria:Total Daily Solar Radiation: Calculated if 99% of the observations for the site and day are available.Maximum Wind Gust, Maximum Heat Index, Minimum Wind Chill: Calculated if at least 1 observation is available for the day.Wind Direction: Available when wind speed is greater than 2.5 mph.Other Variables: Require at least 90% of the observations to be computed.Unavailable Data: Values between +/-990-999 indicate data are not available.Variables in Data Table:CSV Column NameDescriptionStateNameState NameStateFIPSState FIPS CodeCntyNameCounty NameCntyFIPSCounty FIPS CodeTractFIPSCensus Tract FIPS CodeCentroid_LatCentroid LatitudeCentroid_LonCentroid LongitudeDateDateMEAN_TR05Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR25Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR60Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_R05BDNumber of errant 30-minute calibrated delta-t at 5 cm observations.MEAN_R25BDNumber of errant 30-minute calibrated delta-t at 25 cm observations.MEAN_R60BDNumber of errant 30-minute calibrated delta-t at 60 cm observations.MEAN_TAVGAverage of all 5-minute averaged temperature observations each day.MEAN_HAVGAverage of all 5-minute averaged humidity observations each day.MEAN_DAVGAverage of all 5-minute averaged dewpoint temperatures each day. Dewpoint temperature is derived from 1.5 m air temperature and the corresponding humidity value.MEAN_VDEFAverage of all 5-minute averaged vapor deficit estimates each day.MEAN_PAVGAverage of all 5-minute averaged station air pressure observations each day.MEAN_WSPDAverage of all 5-minute wind speed observations each day.MEAN_ATOTDaily accumulation of solar radiation each day.MEAN_BAVGAverage of all 15-minute averaged soil temperature observations each day. This variable is only available prior to December 1, 2013.MEAN_S5AVAverage of all 15-minute averaged soil temperature observations each day.Description:The Oklahoma Mesonet dataset provides detailed daily environmental measurements across Oklahoma. It includes various parameters such as temperature, humidity, dewpoint, vapor deficit, air pressure, wind speed, solar radiation, and soil temperature. Each parameter is averaged over specific time intervals (e.g., 5-minute, 15-minute) and provides a comprehensive overview of daily weather and environmental conditions.The Mesonet stations require a minimum percentage of observations for the day to be included in daily calculations. For instance, total daily solar radiation is calculated only if 99% of the observations for the site and day are available. Other parameters, such as maximum wind gust, maximum heat index, and minimum wind chill, require at least one observation to be recorded for the day. Wind direction data are only recorded when wind speeds exceed 2.5 mph, and most other variables require at least 90% of the observations to be computed.This dataset is essential for researchers, policymakers, and agricultural professionals, providing critical data to analyze environmental trends, assess climate patterns, and make informed decisions related to agriculture and environmental management.

  7. a

    Mesonet Environmental Data In Oklahoma At CensusTract Level - 2023

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated Jun 11, 2024
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    snakka_OSU_GEOG (2024). Mesonet Environmental Data In Oklahoma At CensusTract Level - 2023 [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/b019b51243e54d2d958161086cf53c72
    Explore at:
    Dataset updated
    Jun 11, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    Metadata:Data Provider: Oklahoma MesonetData Link: Daily SummariesLast Update Time: October 10, 2023Start Date: January 1, 2023End Date: December 31, 2023Update Frequency: DailyAdmin Unit: CensustractMeasurement Criteria:Total Daily Solar Radiation: Calculated if 99% of the observations for the site and day are available.Maximum Wind Gust, Maximum Heat Index, Minimum Wind Chill: Calculated if at least 1 observation is available for the day.Wind Direction: Available when wind speed is greater than 2.5 mph.Other Variables: Require at least 90% of the observations to be computed.Unavailable Data: Values between +/-990-999 indicate data are not available.Variables in Data Table:CSV Column NameDescriptionStateNameState NameStateFIPSState FIPS CodeCntyNameCounty NameCntyFIPSCounty FIPS CodeTractFIPSCensus Tract FIPS CodeCentroid_LatCentroid LatitudeCentroid_LonCentroid LongitudeDateDateMEAN_TR05Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR25Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR60Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_R05BDNumber of errant 30-minute calibrated delta-t at 5 cm observations.MEAN_R25BDNumber of errant 30-minute calibrated delta-t at 25 cm observations.MEAN_R60BDNumber of errant 30-minute calibrated delta-t at 60 cm observations.MEAN_TAVGAverage of all 5-minute averaged temperature observations each day.MEAN_HAVGAverage of all 5-minute averaged humidity observations each day.MEAN_DAVGAverage of all 5-minute averaged dewpoint temperatures each day. Dewpoint temperature is derived from 1.5 m air temperature and the corresponding humidity value.MEAN_VDEFAverage of all 5-minute averaged vapor deficit estimates each day.MEAN_PAVGAverage of all 5-minute averaged station air pressure observations each day.MEAN_WSPDAverage of all 5-minute wind speed observations each day.MEAN_ATOTDaily accumulation of solar radiation each day.MEAN_BAVGAverage of all 15-minute averaged soil temperature observations each day. This variable is only available prior to December 1, 2013.MEAN_S5AVAverage of all 15-minute averaged soil temperature observations each day.Description:The Oklahoma Mesonet dataset provides detailed daily environmental measurements across Oklahoma. It includes various parameters such as temperature, humidity, dewpoint, vapor deficit, air pressure, wind speed, solar radiation, and soil temperature. Each parameter is averaged over specific time intervals (e.g., 5-minute, 15-minute) and provides a comprehensive overview of daily weather and environmental conditions.The Mesonet stations require a minimum percentage of observations for the day to be included in daily calculations. For instance, total daily solar radiation is calculated only if 99% of the observations for the site and day are available. Other parameters, such as maximum wind gust, maximum heat index, and minimum wind chill, require at least one observation to be recorded for the day. Wind direction data are only recorded when wind speeds exceed 2.5 mph, and most other variables require at least 90% of the observations to be computed.This dataset is essential for researchers, policymakers, and agricultural professionals, providing critical data to analyze environmental trends, assess climate patterns, and make informed decisions related to agriculture and environmental management.

  8. a

    Mesonet Environmental Data In Oklahoma At Censustract Level - 2011

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated Jun 10, 2024
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    snakka_OSU_GEOG (2024). Mesonet Environmental Data In Oklahoma At Censustract Level - 2011 [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/datasets/3fe85b3176c64d08bd48b736907cb24e
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    Dataset updated
    Jun 10, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
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    Description

    Metadata:Data Provider: Oklahoma MesonetData Link: Daily SummariesLast Update Time: October 10, 2023Start Date: January 1, 2011End Date: December 31, 2011Update Frequency: DailyAdmin Unit: CensustractMeasurement Criteria:Total Daily Solar Radiation: Calculated if 99% of the observations for the site and day are available.Maximum Wind Gust, Maximum Heat Index, Minimum Wind Chill: Calculated if at least 1 observation is available for the day.Wind Direction: Available when wind speed is greater than 2.5 mph.Other Variables: Require at least 90% of the observations to be computed.Unavailable Data: Values between +/-990-999 indicate data are not available.Variables in Data Table:CSV Column NameDescriptionStateNameState NameStateFIPSState FIPS CodeCntyNameCounty NameCntyFIPSCounty FIPS CodeTractFIPSCensus Tract FIPS CodeCentroid_LatCentroid LatitudeCentroid_LonCentroid LongitudeDateDateMEAN_TR05Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR25Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_TR60Calibrated change in temperature of soil over time after a heat pulse is introduced. Used to calculate soil water potential, fractional water index, or volumetric water.MEAN_R05BDNumber of errant 30-minute calibrated delta-t at 5 cm observations.MEAN_R25BDNumber of errant 30-minute calibrated delta-t at 25 cm observations.MEAN_R60BDNumber of errant 30-minute calibrated delta-t at 60 cm observations.MEAN_TAVGAverage of all 5-minute averaged temperature observations each day.MEAN_HAVGAverage of all 5-minute averaged humidity observations each day.MEAN_DAVGAverage of all 5-minute averaged dewpoint temperatures each day. Dewpoint temperature is derived from 1.5 m air temperature and the corresponding humidity value.MEAN_VDEFAverage of all 5-minute averaged vapor deficit estimates each day.MEAN_PAVGAverage of all 5-minute averaged station air pressure observations each day.MEAN_WSPDAverage of all 5-minute wind speed observations each day.MEAN_ATOTDaily accumulation of solar radiation each day.MEAN_BAVGAverage of all 15-minute averaged soil temperature observations each day. This variable is only available prior to December 1, 2013.MEAN_S5AVAverage of all 15-minute averaged soil temperature observations each day.Description:The Oklahoma Mesonet dataset provides detailed daily environmental measurements across Oklahoma. It includes various parameters such as temperature, humidity, dewpoint, vapor deficit, air pressure, wind speed, solar radiation, and soil temperature. Each parameter is averaged over specific time intervals (e.g., 5-minute, 15-minute) and provides a comprehensive overview of daily weather and environmental conditions.The Mesonet stations require a minimum percentage of observations for the day to be included in daily calculations. For instance, total daily solar radiation is calculated only if 99% of the observations for the site and day are available. Other parameters, such as maximum wind gust, maximum heat index, and minimum wind chill, require at least one observation to be recorded for the day. Wind direction data are only recorded when wind speeds exceed 2.5 mph, and most other variables require at least 90% of the observations to be computed.This dataset is essential for researchers, policymakers, and agricultural professionals, providing critical data to analyze environmental trends, assess climate patterns, and make informed decisions related to agriculture and environmental management.

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United States Department of Commerce. Bureau of the Census (2006). Census of Population and Housing, 2000 [United States]: Summary File 3, Oklahoma [Dataset]. https://datamed.org/display-item.php?repository=0025&id=59d5388c5152c6518764a626&query=SNORD116-30%20census%20career

Census of Population and Housing, 2000 [United States]: Summary File 3, Oklahoma

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 12, 2006
Authors
United States Department of Commerce. Bureau of the Census
Area covered
United States
Description

Summary File 3 contains sample data, which is the information compiled from the questions asked of a sample of all people and housing units in the United States. Population items include basic population totals as well as counts for the following characteristics: urban and rural, households and families, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status, year of entry, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include basic housing totals and counts for urban and rural, number of rooms, number of bedrooms, year moved into unit, household size and occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, and monthly rent and shelter costs. The Summary File 3 population tables are identified with a 'P' prefix and the housing tables are identified with an 'H,' followed by a sequential number. The 'P' and 'H' tables are shown for the block group and higher level geography, while the 'PCT' and 'HCT' tables are shown for the census tract and higher level geography. There are 16 'P' tables, 15 'PCT' tables, and 20 'HCT' tables that bear an alphabetic suffix on the table number, indicating that they are repeated for nine major race and Hispanic or Latino groups. There are 484 population tables and 329 housing tables for a total of 813 unique tables.

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