11 datasets found
  1. C

    Education Sector - School autonomy (REST - WMS)

    • ckan.mobidatalab.eu
    esri rest, wms
    Updated Jun 6, 2023
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    GeoDatiGovIt RNDT (2023). Education Sector - School autonomy (REST - WMS) [Dataset]. https://ckan.mobidatalab.eu/dataset/sector-education-school-autonomies-rest-wms
    Explore at:
    wms, esri restAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    Education Sector - School autonomy - REST Map Service - WMS. The attribute tables relating to the seven information levels present contain the following information: For CPIA location and delivery point: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCHOOL_NAME (type: text, alias: SCHOOL_NAME, length:110), PLEXUS (type: text, alias: PLEXUS, length:60), COD_PLEXUS (type: text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_LOCATION_1 (type: text, alias: COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length :7), PHONE (type: text, alias: PHONE, length:50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS) , LOCATION (type: text, alias: LOCATION, length: 100). For Service Delivery Point: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS ( type: text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias : COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length: 50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL ( type: text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For Kindergartens: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type : text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50 ), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type : text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For primary schools: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type: text , alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_SEDE_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text , alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS),LOCATION (type: text, alias: LOCATION, length:100). For lower secondary schools: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type : text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50 ), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type : text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For upper secondary: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type : text, aliases: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_SEDE_1, length:15 ), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50), NOTE_TEL (type : text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For Hospital Sections: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type: text , alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_SEDE_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text , alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100).

  2. n

    12 - Federal District Courts - Esri GeoInquiries collection for Government

    • library.ncge.org
    Updated Jun 8, 2020
    + more versions
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    NCGE (2020). 12 - Federal District Courts - Esri GeoInquiries collection for Government [Dataset]. https://library.ncge.org/documents/4d10a9a1d10a40718a18e46f792bc8fe
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    Dataset updated
    Jun 8, 2020
    Dataset authored and provided by
    NCGE
    Description

    THE GEOINQUIRIES™ COLLECTION FOR GOVERNMENT AND CIVICShttp://www.esri.com/geoinquiriesThe Esri GeoInquiry™ collection for Government and Civics contains 20 free, web-mapping activities that correspond and extend map-based concepts in leading middle school Government and Civics science textbooks. The activities use a standard inquiry-based instructional model, require about 15 minutes for a teacher to deliver, and are device agnostic. The activities harmonize with the C3 Framework. Fifteen activities are Level 1, requiring no login. Five activities are Level 2, requiring a login and use of the analysis tools in ArcGIS Online.All Government and Civics GeoInquiries™ can be found at: http://esriurl.com/govGeoInquiries All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

  3. f

    Poverty 2023 (all geographies, statewide)

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +2more
    Updated Feb 21, 2025
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    Georgia Association of Regional Commissions (2025). Poverty 2023 (all geographies, statewide) [Dataset]. https://gisdata.fultoncountyga.gov/maps/9d1dc0e3c9e344f2b379a09c0a1be7e5
    Explore at:
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    These data were developed by the Research & Analytics Department at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable.For a deep dive into the data model including every specific metric, see the ACS 2019-2023. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e23Estimate from 2019-23 ACS_m23Margin of Error from 2019-23 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_23Change, 2010-23 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)CCDIST = County Commission Districts (statewide where applicable)CCSUPERDIST = County Commission Superdistricts (DeKalb)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2019-2023). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2019-2023Open Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/182e6fcf8201449086b95adf39471831/about

  4. a

    Housing 2020 (DHC, all geographies, statewide)

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    • +1more
    Updated Mar 28, 2024
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    Georgia Association of Regional Commissions (2024). Housing 2020 (DHC, all geographies, statewide) [Dataset]. https://opendata.atlantaregional.com/maps/a50f77790ef4437e8b8118816c0f55f5
    Explore at:
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    These data were developed by the Research & Analytics group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable.For a deep dive into the data model including every specific metric, see the DHC 2020 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find geography definitions and user notes below.These are indicators built from the 2020 Decennial CensusThis is the second release based on the 2020 Census following the Redistricting Data release previously. The DHC release lets us drill deeper on age than the redistricting data (that only breaks at 0-17 and 18+). Additionally, we get some data on household type and housing tenure.Geographies AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage) ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit) ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit) BeltLineStatistical (buffer) BeltLineStatisticalSub (subareas) Census Tract (statewide) CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit) City (statewide) City of Atlanta Council Districts (City of Atlanta) City of Atlanta Neighborhood Planning Unit (City of Atlanta) City of Atlanta Neighborhood Statistical Areas (City of Atlanta) County (statewide) Georgia House (statewide) Georgia Senate (statewide) HSSA = High School Statistical Area (11 county region) MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit) Regional Commissions (statewide) State of Georgia (single geographic unit) Superdistrict (ARC region) US Congress (statewide) UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit) ZIP Code Tabulation Areas (statewide)Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2020Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/GARC::data-manifest-for-arc-census-demographic-and-housing-characteristics-dhc-2020-release/aboutFor more information, visit the US Census DHC Technical Documentation webpage.

  5. f

    Voting Age 2022 (all geographies, statewide)

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +1more
    Updated Mar 1, 2024
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    Georgia Association of Regional Commissions (2024). Voting Age 2022 (all geographies, statewide) [Dataset]. https://gisdata.fultoncountyga.gov/maps/a0bdfff8863646f0a98c35e3e8993785
    Explore at:
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
    For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

  6. a

    School Enrollment 2021 (all geographies, statewide)

    • hub.arcgis.com
    • gisdata.fultoncountyga.gov
    • +2more
    Updated Mar 10, 2023
    + more versions
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    Georgia Association of Regional Commissions (2023). School Enrollment 2021 (all geographies, statewide) [Dataset]. https://hub.arcgis.com/maps/7d015a4cfb8e42d5b6d259b41825b657
    Explore at:
    Dataset updated
    Mar 10, 2023
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. For a deep dive into the data model including every specific metric, see the ACS 2017-2021 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e21Estimate from 2017-21 ACS_m21Margin of Error from 2017-21 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_21Change, 2010-21 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLine (buffer)BeltLine Study (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Planning Unit STV (3 NPUs merged to a single geographic unit within City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)City of Atlanta Neighborhood Statistical Areas E02E06 (2 NSAs merged to single geographic unit within City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)SPARCC = Strong, Prosperous And Resilient Communities ChallengeState of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)WFF = Westside Future Fund (subarea of City of Atlanta)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2017-2021). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2017-2021Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://garc.maps.arcgis.com/sharing/rest/content/items/34b9adfdcc294788ba9c70bf433bd4c1/data

  7. a

    Industry 2022 (all geographies, statewide)

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Mar 1, 2024
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    Georgia Association of Regional Commissions (2024). Industry 2022 (all geographies, statewide) [Dataset]. https://opendata.atlantaregional.com/maps/68b9f44a62f94a0e94474aaacc0e1f19
    Explore at:
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
    For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

  8. School Districts

    • hub.arcgis.com
    Updated Oct 25, 2001
    + more versions
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    Napa County GIS | ArcGIS Online (2001). School Districts [Dataset]. https://hub.arcgis.com/maps/napacounty::school-districts
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    Dataset updated
    Oct 25, 2001
    Dataset provided by
    Authors
    Napa County GIS | ArcGIS Online
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    Boundaries for school districts in Napa County.

    Data last synced 05-19-2025 06:15. Data synced on a Monthly2 interval.

  9. a

    School Board Districts

    • portal-nolagis.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jan 27, 2017
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    City of New Orleans (2017). School Board Districts [Dataset]. https://portal-nolagis.opendata.arcgis.com/maps/dfdba12f9f364a1fb52d9f10465d4ac4
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    Dataset updated
    Jan 27, 2017
    Dataset authored and provided by
    City of New Orleans
    Area covered
    Description

    Orleans Parish School Board Districts as adopted by OPSB on February 28, 2012. The Board adopted the Alternative “A” Amended Plan with two changes recommended from the floor. The first change being that Precint 6-8 be moved from District 3 to District 7. The second change being that Precinct 15-13 be moved from District 7 to District 4. These districts are derived from the updated precincts provided by the New Orleans City Council following the 2010 census redistricting.

  10. a

    OCACS 2017 Social Characteristics for Elementary School Districts

    • data-ocpw.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 22, 2020
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    OC Public Works (2020). OCACS 2017 Social Characteristics for Elementary School Districts [Dataset]. https://data-ocpw.opendata.arcgis.com/maps/ocacs-2017-social-characteristics-for-elementary-school-districts
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    Dataset updated
    Jan 22, 2020
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2017, 5-year estimates of the key social characteristics of Elementary School Districts geographic level in Orange County, California. The data contains 500 fields for the variable groups S01: Households by type (universe: total households, table X11, 17 fields); S02: Relationship (universe: population in households, table X9, 19 fields); S03: Marital status (universe: population 15 years and over, table X12, 13 fields); S04: Fertility (universe: women 15-50 years who had birth in the past 12 months, table X13, 11 fields); S05: Grandparents (universe: grandparents living or responsible for own grandchildren under 18 years, table X10, 18 fields); S06: School enrollment (universe: population 3 years old and over enrolled in school, table X14, 17 fields); S07: Educational attainment (universe: population 25 years and over, table X15, 25 fields); S08: Veteran status (universe: civilian population 18 years and over, table X21, 2 fields); S09: Disability status and type by sex and age (universe: total civilian non-institutionalized population, table X18, 77 fields); S10: Disability status by age and health insurance coverage (universe: civilian non-institutionalized population, table X18, 16 fields); S11: Residence 1 year ago (universe: population 1 year and over, table X7, 6 fields); S12: Place of birth (universe: total population, table X5, 27 fields); S13: Citizenship status by nativity in the US (universe: total population, table X5, 6 fields); S14: Year of entry (universe: population born outside the US, table X5, 21 fields); S15: World region of birth of foreign born population (universe: foreign born population, excluding population born at sea, table X5, 25 fields); S16: Language spoken in households (universe: total households, table X16, 6 fields); S17: Language spoken at home (universe: population 5 years and over, table X16, 67 fields); S18: Ancestry (universe: total population reporting ancestry, table X4, 114 fields), and; S19: Computers and internet use (universe: total population in households and total households, table X28, 13 fields). The US Census geodemographic data are based on the 2017 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

  11. a

    OCACS 2021 Social Characteristics for Unified School Districts

    • data-ocpw.opendata.arcgis.com
    • hub.arcgis.com
    Updated May 5, 2023
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    OC Public Works (2023). OCACS 2021 Social Characteristics for Unified School Districts [Dataset]. https://data-ocpw.opendata.arcgis.com/maps/OCPW::ocacs-2021-social-characteristics-for-unified-school-districts
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    Dataset updated
    May 5, 2023
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2021, 5-year estimates of the key social characteristics of Unified School Districts geographic level in Orange County, California. The data contains 500 fields for the variable groups S01: Households by type (universe: total households, table X11, 17 fields); S02: Relationship (universe: population in households, table X9, 19 fields); S03: Marital status (universe: population 15 years and over, table X12, 13 fields); S04: Fertility (universe: women 15-50 years who had birth in the past 12 months, table X13, 11 fields); S05: Grandparents (universe: grandparents living or responsible for own grandchildren under 18 years, table X10, 18 fields); S06: School enrollment (universe: population 3 years old and over enrolled in school, table X14, 17 fields); S07: Educational attainment (universe: population 25 years and over, table X15, 25 fields); S08: Veteran status (universe: civilian population 18 years and over, table X21, 2 fields); S09: Disability status and type by sex and age (universe: total civilian non-institutionalized population, table X18, 77 fields); S10: Disability status by age and health insurance coverage (universe: civilian non-institutionalized population, table X18, 16 fields); S11: Residence 1 year ago (universe: population 1 year and over, table X7, 6 fields); S12: Place of birth (universe: total population, table X5, 27 fields); S13: Citizenship status by nativity in the US (universe: total population, table X5, 6 fields); S14: Year of entry (universe: population born outside the US, table X5, 21 fields); S15: World region of birth of foreign born population (universe: foreign born population, excluding population born at sea, table X5, 25 fields); S16: Language spoken in households (universe: total households, table X16, 6 fields); S17: Language spoken at home (universe: population 5 years and over, table X16, 67 fields); S18: Ancestry (universe: total population reporting ancestry, table X4, 114 fields), and; S19: Computers and internet use (universe: total population in households and total households, table X28, 13 fields). The US Census geodemographic data are based on the 2021 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project GitHub page (https://github.com/ktalexan/OCACS-Geodemographics).

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GeoDatiGovIt RNDT (2023). Education Sector - School autonomy (REST - WMS) [Dataset]. https://ckan.mobidatalab.eu/dataset/sector-education-school-autonomies-rest-wms

Education Sector - School autonomy (REST - WMS)

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wms, esri restAvailable download formats
Dataset updated
Jun 6, 2023
Dataset provided by
GeoDatiGovIt RNDT
Description

Education Sector - School autonomy - REST Map Service - WMS. The attribute tables relating to the seven information levels present contain the following information: For CPIA location and delivery point: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCHOOL_NAME (type: text, alias: SCHOOL_NAME, length:110), PLEXUS (type: text, alias: PLEXUS, length:60), COD_PLEXUS (type: text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_LOCATION_1 (type: text, alias: COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length :7), PHONE (type: text, alias: PHONE, length:50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS) , LOCATION (type: text, alias: LOCATION, length: 100). For Service Delivery Point: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS ( type: text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias : COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length: 50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL ( type: text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For Kindergartens: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type : text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50 ), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type : text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For primary schools: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type: text , alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_SEDE_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text , alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS),LOCATION (type: text, alias: LOCATION, length:100). For lower secondary schools: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type : text, alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_LOCATION_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50 ), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type : text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For upper secondary: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type : text, aliases: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_SEDE_1, length:15 ), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50), NOTE_TEL (type : text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text, alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100). For Hospital Sections: OBJECTID (type: esriFieldTypeOID, alias: OBJECTID), SCUOL_NAME (type: text, alias: SCUOL_NAME, length:110), PLESS (type: text, alias: PLESS, length:60), COD_PLESS (type: text , alias: COD_PLEXUS, length:15), ZONE (type: text, alias: ZONE, length:5), DEGREE (type: text, alias: DEGREE, length:55), COD_SEDE_1 (type: text, alias: COD_SEDE_1, length:15), COD_LOCATION_2 (type: text, alias: COD_LOCATION_2, length:15), ZIP code (type: text, alias: ZIP code, length:7), PHONE (type: text, alias: PHONE, length:50), TEL_NOTE (type: text, alias: TEL_NOTE, length:95), EXECUTIVE (type: text, alias: EXECUTIVE, length:55), FAX (type: text, alias: FAX, length:30), EMAIL (type: text , alias: EMAIL, length:65), CLASSES (type: decimal, alias: CLASSES), STUDENTS (type: decimal, alias: STUDENTS), LOCATION (type: text, alias: LOCATION, length:100).

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