A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames: A Case Study in Somalia

27 Pages Posted: 9 Aug 2019

See all articles by Sarchil Qader

Sarchil Qader

World Bank

Veronique Lefebvre

World Bank

Amy Ninneman

World Bank

Kristen Himelein

World Bank - Poverty Reduction and Economic Management

Utz Johann Pape

World Bank

Linus Bengtsson

World Bank

Andy Tatem

World Bank

Tomas Bird

World Bank

Date Written: August 8, 2019

Abstract

Enumeration areas are the operational geographic units for the collection, dissemination, and analysis of census data and are often used as a national sampling frame for various types of surveys. Traditionally, enumeration areas are created by manually digitizing small geographic units on high-resolution satellite imagery or physically walking the boundaries of units, both of which are highly time, cost, and labor intensive. In addition, creating enumeration areas requires considering the size of the population and area within each unit. This is an optimization problem that can best be solved by a computer. This paper, for the first time, produces an automatic designation of predefined census enumeration areas based on high-resolution gridded population and settlement data sets and using publicly available natural and administrative boundaries. This automated approach is compared with manually digitized enumeration areas that were created in urban areas in Mogadishu and Hargeisa for the United Nations Population Estimation Survey for Somalia in 2014. The automatically generated enumeration areas are consistent with standard enumeration areas, including having identifiable boundaries to field teams on the ground, and appropriate sizing and population for coverage by an enumerator. Furthermore, the automated urban enumeration areas have no gaps. The paper extends this work to rural Somalia, for which no records exist of previous enumeration area demarcations. This work shows the time, labor, and cost-saving value of automated enumeration area delineation and points to the potential for broadly available tools that are suitable for low-income and data-poor settings but applicable to potentially wider contexts.

Keywords: Inequality, Armed Conflict, ICT Applications, Employment and Unemployment

Suggested Citation

Qader, Sarchil and Lefebvre, Veronique and Ninneman, Amy and Himelein, Kristen and Pape, Utz Johann and Bengtsson, Linus and Tatem, Andy and Bird, Tomas, A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames: A Case Study in Somalia (August 8, 2019). World Bank Policy Research Working Paper No. 8972. Available at SSRN: https://ssrn.com/abstract=3434764

Sarchil Qader (Contact Author)

World Bank

1818 H Street, NW
Washington, DC 20433
United States

Veronique Lefebvre

World Bank

1818 H Street, NW
Washington, DC 20433
United States

Amy Ninneman

World Bank

1818 H Street, NW
Washington, DC 20433
United States

Kristen Himelein

World Bank - Poverty Reduction and Economic Management ( email )

1818 H Street NW
MSN3-311
Washington, DC 20433
United States

Utz Johann Pape

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Linus Bengtsson

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Andy Tatem

World Bank

1818 H Street, NW
Washington, DC 20433
United States

Tomas Bird

World Bank

1818 H Street, NW
Washington, DC 20433
United States

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