77 datasets found
  1. a

    Average number of hours spent on total work (paid and unpaid), by sex

    • hub.arcgis.com
    Updated Mar 7, 2024
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    UN DESA Statistics Division (2024). Average number of hours spent on total work (paid and unpaid), by sex [Dataset]. https://hub.arcgis.com/datasets/undesa::average-number-of-hours-spent-on-total-work-paid-and-unpaid-by-sex-1/about
    Explore at:
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Data Series: Average number of hours spent on total work (paid and unpaid), by sex Indicator: I.2 - Average number of hours spent on total work (paid and unpaid), by sex Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

  2. a

    Unpaid Property Bills from 2018

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    • +1more
    Updated Apr 24, 2020
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    Buncombe County (2020). Unpaid Property Bills from 2018 [Dataset]. https://data-avl.opendata.arcgis.com/datasets/bunco::unpaid-property-bills-from-2018
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    Dataset updated
    Apr 24, 2020
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2018

  3. b

    Unpaid Property Bills from 2014

    • data.buncombecounty.org
    • data-avl.opendata.arcgis.com
    • +1more
    Updated Apr 24, 2020
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    Buncombe County (2020). Unpaid Property Bills from 2014 [Dataset]. https://data.buncombecounty.org/maps/unpaid-property-bills-from-2014
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    Dataset updated
    Apr 24, 2020
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2014

  4. Outstanding Florida Springs (OFS)

    • hub.arcgis.com
    • geodata.dep.state.fl.us
    • +2more
    Updated Aug 2, 2016
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    Florida Department of Environmental Protection (2016). Outstanding Florida Springs (OFS) [Dataset]. https://hub.arcgis.com/maps/FDEP::outstanding-florida-springs-ofs/about
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    Dataset updated
    Aug 2, 2016
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Section 373.802(4), Florida Statutes (F.S.), defines “Outstanding Florida Springs” or “OFS” to include all historic first magnitude springs, as determined by the department using the most recent Florida Geological Survey springs bulletin, and the following additional six springs: DeLeon, Peacock, Poe, Rock, Wekiva, and Gemini. OFS do not include submarine springs or river rises. There are 30 OFS springs consisting of 24 historic first magnitude springs and the 6 named additional springs. While the statutory definition includes the spring runs associated with these springs and spring groups, this coverage identifies the WBIDs associated with the OFS spring vents. Please reference the metadata for contact information.

  5. Outstanding Florida Waters

    • geodata.dep.state.fl.us
    • hub.arcgis.com
    • +2more
    Updated Jan 1, 1996
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    Florida Department of Environmental Protection (1996). Outstanding Florida Waters [Dataset]. https://geodata.dep.state.fl.us/datasets/outstanding-florida-waters/api
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    Dataset updated
    Jan 1, 1996
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    Outstanding Florida Waters, (OFW), are waters designated worthy of special protection because of their natural attributes. This special designation is applied to certain waters (including adjacent wetlands) and is intended to protect and maintain existing acceptable quality standards. The OFW layer is a GIS spatial dataset that represents the OFW boundaries throughout the state of Florida. This project involves adding new data to and modifying existing data within the OFW data layer for better accuracy and representation. Boundaries for Outstanding Florida Waters (OFWs) as described in Section 62-302.700, F.A.C. This layer includes all three types of OFWs: OFW Aquatic Preserves, Special OFWs, and Other OFWs.

  6. a

    Average number of hours spent on unpaid care work, by sex, age and location

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 7, 2024
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    UN DESA Statistics Division (2024). Average number of hours spent on unpaid care work, by sex, age and location [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/10f61f07af714458855c3bb6b8e01371
    Explore at:
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Data Series: Average number of hours spent on unpaid care work, by sex, age and location Indicator: I.1 - Average number of hours spent on unpaid domestic and care work, by sex, age and location Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

  7. a

    Unpaid Property Bills from 2019

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    • +2more
    Updated Apr 24, 2020
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    Buncombe County (2020). Unpaid Property Bills from 2019 [Dataset]. https://data-avl.opendata.arcgis.com/datasets/bunco::unpaid-property-bills-from-2019
    Explore at:
    Dataset updated
    Apr 24, 2020
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2019

  8. a

    Unpaid Property Bills from 2024

    • hub.arcgis.com
    • data.buncombecounty.org
    • +1more
    Updated Mar 7, 2024
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    Buncombe County (2024). Unpaid Property Bills from 2024 [Dataset]. https://hub.arcgis.com/maps/bunco::unpaid-property-bills-from-2024
    Explore at:
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2024

  9. b

    Unpaid Property Bills from 2016

    • data.buncombecounty.org
    • hub.arcgis.com
    • +1more
    Updated Apr 24, 2020
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    Buncombe County (2020). Unpaid Property Bills from 2016 [Dataset]. https://data.buncombecounty.org/maps/unpaid-property-bills-from-2016
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    Dataset updated
    Apr 24, 2020
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2016

  10. T

    General Mills | GIS - Outstanding Shares

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 15, 2024
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    TRADING ECONOMICS (2024). General Mills | GIS - Outstanding Shares [Dataset]. https://tradingeconomics.com/gis:us:outstanding-shares
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Apr 15, 2024
    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
    Jan 1, 2000 - Jul 31, 2025
    Area covered
    United States
    Description

    General Mills reported 564.55M in Outstanding Shares in April of 2024. Data for General Mills | GIS - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  11. s

    County Outstanding Checks

    • data.saccounty.gov
    Updated Jan 19, 2019
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    Sacramento County GIS (2019). County Outstanding Checks [Dataset]. https://data.saccounty.gov/maps/county-outstanding-checks
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    Dataset updated
    Jan 19, 2019
    Dataset authored and provided by
    Sacramento County GIS
    License

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

    Description

    Contained here is the inventory of all Sacramento County warrants (excluding those warrants that are considered private, such as welfare payments, child support, and employee payroll) that have been issued and mailed, but which remain uncashed six months after their issue date. Uncashed County warrants that are lost can be reissued up to two and a half years from the original issue date.Department of Finance - Auditor Controller - Unclaimed County Warrants (Checks) -- This data was last updated on May 08, 2025 at 03:03 PM.

  12. a

    Unpaid Property Bills from 2011

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    • +1more
    Updated Apr 24, 2020
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    Buncombe County (2020). Unpaid Property Bills from 2011 [Dataset]. https://data-avl.opendata.arcgis.com/datasets/bunco::unpaid-property-bills-from-2011
    Explore at:
    Dataset updated
    Apr 24, 2020
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2011

  13. N

    Cadw: Register of Historic Landscapes (3rd Party Data)

    • metadata.naturalresources.wales
    search
    Updated Jun 22, 2017
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    (2017). Cadw: Register of Historic Landscapes (3rd Party Data) [Dataset]. https://metadata.naturalresources.wales/geonetwork/srv/api/records/EXT_DS102211
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    searchAvailable download formats
    Dataset updated
    Jun 22, 2017
    Description

    Natural Resources of Wales (NRW) are supplied a number of historic and cultural datasets under a licence from Cadw. Cadw is the Welsh Government's historic environment service working for an accessible and well-protected historic environment for Wales. They were set up with the aim of conserving Wales's heritage, helping people understand and care about their history and helping to sustain the distinctive character of Wales. The Register of Historic Landscapes were digitised from the original hardcopy depictions taken from Registers that were created in 1998 and 2001. They are used in the production and evaluation of EIA's and as an integrated information resource for local authorities' structure and development plans on the coast and for the consideration of planning applications.

  14. i

    Outstanding Iowa Waters

    • geodata.iowa.gov
    • arcgis.com
    Updated Dec 11, 2020
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    Iowa Department of Natural Resources (2020). Outstanding Iowa Waters [Dataset]. https://geodata.iowa.gov/documents/6b58f0fa2c334c56a50d4da817d34df9
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    Dataset updated
    Dec 11, 2020
    Dataset authored and provided by
    Iowa Department of Natural Resources
    Area covered
    Iowa
    Description

    Antidegradation refers to federal and state regulations designed to maintain existing uses of surface waters and to protect high quality waters from unnecessary pollution. An Outstanding Iowa Water (OIW) is defined as the following: "A surface water that IDNR has classified as an outstanding state resource water in the water quality standards." An OIW receives Tier 2 ½ protection. Tier 2 ½ Review is defined as follows: "Policies and procedures that prohibit any lowering of water quality in unique waters as identified in the water quality standards unless the lowering is temporary and limited, results from expansion of existing sources, or serves to maintain or enhance the value, quality, or use of the OIW, as determined by the Director of IDNR on a case-by-case basis."

  15. K

    Pasco County, Florida Outstanding Florida Waters

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 22, 2019
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    Pasco County, Florida (2019). Pasco County, Florida Outstanding Florida Waters [Dataset]. https://koordinates.com/layer/102404-pasco-county-florida-outstanding-florida-waters/
    Explore at:
    geodatabase, kml, dwg, geopackage / sqlite, pdf, shapefile, mapinfo mif, mapinfo tab, csvAvailable download formats
    Dataset updated
    May 22, 2019
    Dataset authored and provided by
    Pasco County, Florida
    Area covered
    Description

    Geospatial data about Pasco County, Florida Outstanding Florida Waters. Export to CAD, GIS, PDF, CSV and access via API.

  16. b

    Unpaid Property Bills from 2015

    • data.buncombecounty.org
    • data-avl.opendata.arcgis.com
    • +1more
    Updated Apr 24, 2020
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    Buncombe County (2020). Unpaid Property Bills from 2015 [Dataset]. https://data.buncombecounty.org/maps/bunco::unpaid-property-bills-from-2015
    Explore at:
    Dataset updated
    Apr 24, 2020
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2015

  17. a

    Average number of hours spent on unpaid domestic work, by sex, age and...

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 7, 2024
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    UN DESA Statistics Division (2024). Average number of hours spent on unpaid domestic work, by sex, age and location [Dataset]. https://hub.arcgis.com/datasets/39987402230940b6acce39a8e5044c7b
    Explore at:
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Data Series: Average number of hours spent on unpaid domestic work, by sex, age and location Indicator: I.1 - Average number of hours spent on unpaid domestic and care work, by sex, age and location Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

  18. d

    MEP - Coastal Natural Character Outstanding

    • catalogue.data.govt.nz
    • hub.arcgis.com
    • +1more
    Updated Mar 20, 2020
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    Marlborough District Council (2020). MEP - Coastal Natural Character Outstanding [Dataset]. https://catalogue.data.govt.nz/dataset/groups/mep-coastal-natural-character-outstanding2
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    geojson, zip, html, csv, kml, ogc wfs, ogc wms, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Mar 20, 2020
    Dataset provided by
    Marlborough District Council
    Description

    This dataset is part of the proposed Marlborough Environment Plan, as amended by decisions.

    Depicts terrestrial and marine areas in the coastal environment with oustanding natural character.

    For more information, check the Marlborough Environment Plan website.

    Symbology settings for display in GIS applications:

    Cross-hatching, line fill.

    Line colour: RGB 153, 77, 255

  19. a

    MO 2014 Outstanding National Resource Water Watersheds

    • data-msdis.opendata.arcgis.com
    Updated Apr 15, 2019
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    Missouri Spatial Data Information Service (2019). MO 2014 Outstanding National Resource Water Watersheds [Dataset]. https://data-msdis.opendata.arcgis.com/maps/mo-2014-outstanding-national-resource-water-watersheds
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    Dataset updated
    Apr 15, 2019
    Dataset authored and provided by
    Missouri Spatial Data Information Service
    Area covered
    Description

    This feature class contains watersheds associated with Missouri's use designations for waters listed in Table D - Outstanding National Resource Waters of the Water Quality Standards rule published in the Missouri Code of State Regulations (CSR), 10 CSR 20-7.031, on January 29, 2014 and approved by the United States Environmental Protection Agency (EPA), on October 22, 2014.

  20. Outstanding Natural Landscape v1.0

    • data.waikatodistrict.govt.nz
    csv, dwg, geodatabase +6
    Updated Feb 11, 2022
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    Waikato District Council (2022). Outstanding Natural Landscape v1.0 [Dataset]. https://data.waikatodistrict.govt.nz/layer/107092-outstanding-natural-landscape-v10/
    Explore at:
    pdf, csv, dwg, geodatabase, geopackage / sqlite, mapinfo mif, kml, shapefile, mapinfo tabAvailable download formats
    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Waikato District Councilhttp://waikatodistrict.govt.nz/
    License

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

    Area covered
    Description

    Geospatial data from Waikato District Council. Export to CAD, GIS, PDF, KML and CSV, and access via API.

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UN DESA Statistics Division (2024). Average number of hours spent on total work (paid and unpaid), by sex [Dataset]. https://hub.arcgis.com/datasets/undesa::average-number-of-hours-spent-on-total-work-paid-and-unpaid-by-sex-1/about

Average number of hours spent on total work (paid and unpaid), by sex

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 7, 2024
Dataset authored and provided by
UN DESA Statistics Division
Area covered
Description

Data Series: Average number of hours spent on total work (paid and unpaid), by sex Indicator: I.2 - Average number of hours spent on total work (paid and unpaid), by sex Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

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