Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010 (doi:10.60507/FK2/E2XJOR)

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Document Description

Citation

Title:

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

Identification Number:

doi:10.60507/FK2/E2XJOR

Distributor:

bonndata

Date of Distribution:

2023-09-18

Version:

1

Bibliographic Citation:

Valerie Graw, 2023, "Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010", https://doi.org/10.60507/FK2/E2XJOR, bonndata, V1

Study Description

Citation

Title:

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

Identification Number:

doi:10.60507/FK2/E2XJOR

Identification Number:

a76b76a7-4ced-442f-ac2d-ffc8471e0e34

Authoring Entity:

Valerie Graw (Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn)

Distributor:

bonndata

Access Authority:

Valerie Graw

Holdings Information:

https://doi.org/10.60507/FK2/E2XJOR

Study Scope

Keywords:

Other

Topic Classification:

MARGIP, biological water balance, income, poverty

Abstract:

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.

Time Period:

2005-01-01T15:08:00-2010-12-31T15:09:00

Date of Collection:

2005-12-22T11:00:00-2005-12-22T11:00:002010-12-23-2010-12-23

Geographic Coverage:

Africa, Asia, South of Sahara, South Asia

Geographic Bounding Box:

  • West Bounding Longitude: -32.34375
  • East Bounding Longitude: 109.6875
  • South Bounding Latitude: -53.4375
  • North Bounding Latitude: 56.25

Notes:

This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={a76b76a7-4ced-442f-ac2d-ffc8471e0e34}.

Methodology and Processing

Sources Statement

Data Access

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Margip_BMGF_Edited.gif

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Overlapping_MargPovheadcount1.png

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