The University of Southampton
University of Southampton Institutional Repository

Creating a poverty map for Azerbaijan

Creating a poverty map for Azerbaijan
Creating a poverty map for Azerbaijan
"Poverty maps" - that is, graphic representations of spatially disaggregated estimates of welfare are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the census to produce estimates of income or expenditure for small areas or at developing alternative welfare rankings, such as asset indices, using existing census data. This paper develops a set of poverty maps for Azerbaijan that can be used by different users. Two alternative approaches to the measurement and mapping of welfare are adopted. First, a map is derived using imputed household consumption. This involves combining information from the 2002 Household Budget Survey (HBS) with 1999 census data. Second, an alternative map is constructed using an asset index based on data from the 1999 census to produce estimates of welfare at the rayon level. This provides a unique opportunity to compare the welfare rankings obtained at the regional level under the two alternative approaches. In order to visually present the spatially disaggregated estimates of welfare in Azerbaijan, this paper has also produced a digital census map of Azerbaijan. This involved matching the census enumeration areas to a digital settlement map of Azerbaijan. Therefore, it is now possible for the State Statistical Committee of Azerbaijan to display graphically the results of the 1999 census of Azerbaijan along with other data.
rural poverty reduction, economic theory & research, poverty lines, technology industry, poverty diagnostics
WPS 3793
The World Bank
Falkingham, Jane
8df36615-1547-4a6d-ad55-aa9496e85519
Baschieri, Angela
8512fd8e-0c0a-4741-acb6-5d05bee0b108
Hornby, Duncan
5fb331c7-104e-45a0-b57d-0007258747e8
Hutton, Craig
9102617b-caf7-4538-9414-c29e72f5fe2e
Falkingham, Jane
8df36615-1547-4a6d-ad55-aa9496e85519
Baschieri, Angela
8512fd8e-0c0a-4741-acb6-5d05bee0b108
Hornby, Duncan
5fb331c7-104e-45a0-b57d-0007258747e8
Hutton, Craig
9102617b-caf7-4538-9414-c29e72f5fe2e

Falkingham, Jane, Baschieri, Angela, Hornby, Duncan and Hutton, Craig (2005) Creating a poverty map for Azerbaijan (Policy, Research Working Paper, WPS 3793) Washington, US. The World Bank 72pp.

Record type: Monograph (Working Paper)

Abstract

"Poverty maps" - that is, graphic representations of spatially disaggregated estimates of welfare are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the census to produce estimates of income or expenditure for small areas or at developing alternative welfare rankings, such as asset indices, using existing census data. This paper develops a set of poverty maps for Azerbaijan that can be used by different users. Two alternative approaches to the measurement and mapping of welfare are adopted. First, a map is derived using imputed household consumption. This involves combining information from the 2002 Household Budget Survey (HBS) with 1999 census data. Second, an alternative map is constructed using an asset index based on data from the 1999 census to produce estimates of welfare at the rayon level. This provides a unique opportunity to compare the welfare rankings obtained at the regional level under the two alternative approaches. In order to visually present the spatially disaggregated estimates of welfare in Azerbaijan, this paper has also produced a digital census map of Azerbaijan. This involved matching the census enumeration areas to a digital settlement map of Azerbaijan. Therefore, it is now possible for the State Statistical Committee of Azerbaijan to display graphically the results of the 1999 census of Azerbaijan along with other data.

This record has no associated files available for download.

More information

Published date: 1 December 2005
Keywords: rural poverty reduction, economic theory & research, poverty lines, technology industry, poverty diagnostics

Identifiers

Local EPrints ID: 33885
URI: http://eprints.soton.ac.uk/id/eprint/33885
PURE UUID: 8b60cbea-5715-4d7c-be19-b35ca0b17fbf
ORCID for Jane Falkingham: ORCID iD orcid.org/0000-0002-7135-5875
ORCID for Craig Hutton: ORCID iD orcid.org/0000-0002-5896-756X

Catalogue record

Date deposited: 16 May 2006
Last modified: 23 Jul 2022 01:49

Export record

Contributors

Author: Jane Falkingham ORCID iD
Author: Angela Baschieri
Author: Duncan Hornby
Author: Craig Hutton ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×