2 datasets found
  1. Dependency ratio - Cities and FUAs

    • db.nomics.world
    Updated Mar 5, 2025
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    DBnomics (2025). Dependency ratio - Cities and FUAs [Dataset]. https://db.nomics.world/OECD/DSD_FUA_DEMO@DF_DEPEND
    Explore at:
    Dataset updated
    Mar 5, 2025
    Authors
    DBnomics
    Description

    This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.

       <h3>Data sources and methodology</h3>
       <p align="justify">
       Dependency ratios are derived from population by age and sex data collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br />
       When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br />
       </p>
    
       <h3>Defining FUAs and cities</h3>
       <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of:
       <ol>
       <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li>
       <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>
       </ol>
       The delineation process includes:
       <ul>
       <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>
       <li>Excluding non-contiguous municipalities.</li>
       </ul>
       The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>
       <h3>Cite this dataset</h3>
       <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ds>Dependency ratio - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p>
       <h3>Further information</h3>
       <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p>
    
  2. d

    CPS2 Maximum Bonus Plot Ratio Plan - Datasets - data.wa.gov.au

    • catalogue.data.wa.gov.au
    Updated May 15, 2020
    + more versions
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    (2020). CPS2 Maximum Bonus Plot Ratio Plan - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/perth-cps2-maximum-bonus-plot-ratio-plan
    Explore at:
    Dataset updated
    May 15, 2020
    License

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

    Area covered
    Western Australia
    Description

    This dataset contains spatial boundaries for Bonus Plot Ratio Plans relating to the City of Perth Planning Scheme No.2The Maximum Bonus Plot Ratio Plan shows the total maximum bonus plot ratio that can be granted on a specific lot. This is either 20% or 50%.Bonus plot ratio may be granted under a single category or a combination of Special Residential, Residential, Heritage and Public Facilities.Definition under Schedule 4 “means the maximum percentage increase in the maximum plot ratio which is specified for a lot or part of a lot by the Maximum Bonus Plot Ratio Plan”;Please see https://perth.wa.gov.au/develop/planning-framework/planning-schemes and https://perth.wa.gov.au/develop/planning-framework/planning-policies-and-precinct-plans for more information regarding the City of Perth Planning Schemes.

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DBnomics (2025). Dependency ratio - Cities and FUAs [Dataset]. https://db.nomics.world/OECD/DSD_FUA_DEMO@DF_DEPEND
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Dependency ratio - Cities and FUAs

OECD/DSD_FUA_DEMO@DF_DEPEND

Explore at:
Dataset updated
Mar 5, 2025
Authors
DBnomics
Description

This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.

   <h3>Data sources and methodology</h3>
   <p align="justify">
   Dependency ratios are derived from population by age and sex data collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br />
   When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br />
   </p>

   <h3>Defining FUAs and cities</h3>
   <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of:
   <ol>
   <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li>
   <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>
   </ol>
   The delineation process includes:
   <ul>
   <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>
   <li>Excluding non-contiguous municipalities.</li>
   </ul>
   The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>
   <h3>Cite this dataset</h3>
   <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ds>Dependency ratio - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p>
   <h3>Further information</h3>
   <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p>
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