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Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010

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Important usage condition: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/E2XJOR
Published version
1.0
Publication date
2023-09-18
License
CC BY-SA 4.0

Description

Overlaying the number of marginality dimensions with percentage of people living below 1.25$/day. This map is included in a global study on mapping marginality focusing on Sub-Saharan Africa and South Asia. The Dimensions of Marginality are based on different data sources representing different spheres of life. The poverty dataset used in this study is based on calculations by Harvest Choice. The underlying Marginality map is based on the approach on Marginality Mapping (http://www.zef.de/fileadmin/webfiles/downloads/zef_wp/wp88.pdf). The respective map can be found here: https://daten.zef.de/#/metadata/ae4ae68c-cea3-44e7-8199-1c2ae04abb88 Quality/Lineage: Poverty Data was provided and generated by Harvest Choice GIS lab. Marginality hotspots are based on the approach by Graw, V. using five dimensions of marginality. In ArcGIS thresholds were defined based on percentages and overlapping dimensions. Using raster data this data was reclassified and overlayed to build a new classification with regard to the here presented purpose. This approach is similar to the overlap over marginality and poverty mass except this map shows percentage of poverty instead of number of poor people. Purpose: This map was created in the MARGIP project to identify the marginalized and poor by highlighting those areas where the "spheres of life" have a low performance. Those areas where multiple "low performance indicators" did overlap got the highest attention for further research.

Creators

Keywords

marginality, human attitudes, economy, society

Files

Before downloading: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
metadata.xmltext/xml30500MD5 f03f18e6862b48eedf801ae0f6c73205
Overlapping_MargPovheadcount1.pngimage/png209620MD5 b280e31e64ba258eb360aa1560127a21
Margip_BMGF_Edited.gifimage/gif6676MD5 921410f2916b91130ce577059239f39b
ReadMe.txttext/plain365MD5 9b02eb8192021ecf9f86a8437b7234fd

Citation

Valerie Graw, 2023-09-18, Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010, doi:10.60507/FK2/E2XJOR, V1.0

Additional Dataverse fields

Id133
Dataset Typedataset
Internal Version Number8
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:52:52Z
Create Time2023-09-18T09:03:04Z
Citation Date2023-09-18
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    a76b76a7-4ced-442f-ac2d-ffc8471e0e34
Author author
  1. Author Name
    Valerie Graw
    Author Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Valerie Graw
    Dataset Contact Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
    Dataset Contact Email
    valerie.graw@gmail.com
Ds Description dsDescription
  1. Ds Description Value
    Overlaying the number of marginality dimensions with percentage of people living below 1.25$/day. This map is included in a global study on mapping marginality focusing on Sub-Saharan Africa and South Asia. The Dimensions of Marginality are based on different data sources representing different spheres of life. The poverty dataset used in this study is based on calculations by Harvest Choice. The underlying Marginality map is based on the approach on Marginality Mapping (http://www.zef.de/fileadmin/webfiles/downloads/zef_wp/wp88.pdf). The respective map can be found here: https://daten.zef.de/#/metadata/ae4ae68c-cea3-44e7-8199-1c2ae04abb88 Quality/Lineage: Poverty Data was provided and generated by Harvest Choice GIS lab. Marginality hotspots are based on the approach by Graw, V. using five dimensions of marginality. In ArcGIS thresholds were defined based on percentages and overlapping dimensions. Using raster data this data was reclassified and overlayed to build a new classification with regard to the here presented purpose. This approach is similar to the overlap over marginality and poverty mass except this map shows percentage of poverty instead of number of poor people. Purpose: This map was created in the MARGIP project to identify the marginalized and poor by highlighting those areas where the "spheres of life" have a low performance. Those areas where multiple "low performance indicators" did overlap got the highest attention for further research.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    economy
  2. Subject Refinement Value
    society
Free Keyword freeKeyword
  1. Free Keyword Value
    marginality
  2. Free Keyword Value
    human attitudes
  3. Free Keyword Value
    economy
  4. Free Keyword Value
    society
Topic Classification topicClassification
  1. Topic Class Value
    MARGIP
    Topic Class Vocab
    Research Project
  2. Topic Class Value
    biological water balance
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    income
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  4. Topic Class Value
    poverty
    Topic Class Vocab
    GEMET - Concepts, version 2.4
Notes Text notesText
This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={a76b76a7-4ced-442f-ac2d-ffc8471e0e34}.
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    2005-01-01T15:08:00
    Time Period Covered End
    2010-12-31T15:09:00
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2005-12-22T11:00:00
    Date Of Collection End
    2005-12-22T11:00:00
  2. Date Of Collection Start
    2010-12-23
    Date Of Collection End
    2010-12-23

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Other Geographic Coverage
    Africa
  2. Other Geographic Coverage
    Asia
  3. Other Geographic Coverage
    South of Sahara
  4. Other Geographic Coverage
    South Asia
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    -32.34375
    East Longitude
    109.6875
    North Latitude
    56.25
    South Latitude
    -53.4375

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