IDEAS home Printed from
   My bibliography  Save this paper

Multidimensional Poverty in Sudan and South Sudan


  • Paola Ballon and Jean-Yves Duclos


This paper assesses multidimensional poverty in Sudan and South Sudan. We use the National Baseline Household Surveys (NBHS) of 2009 to measure poverty incidence in education, consumption, access to public assets and possession of private assets across these two countries. We differentiate between children/teenagers aged six to fourteen years and adults aged fifteen years or older. We apply a counting method for measuring multidimensional poverty at the individual level and perform dominance tests to check for the robustness of the poverty comparisons. Our findings show regional and sub-population differences in the unidimensional and multidimensional poverty status of people in Sudan and South Sudan. Poverty in Sudan is generally less severe than in South Sudan, with a pattern showing (i) lesser unidimensional incidence of poverty; (ii) lower multidimensional poverty indices and prevalence, but similar breadth, in Sudan than in South Sudan, both for adults and children. This pattern also points towards Khartoum and Western Equatoria as the states with the least poverty, and Northern Darfur, and Warap as the states with the greatest poverty, both for adults and children, in Sudan and South Sudan, respectively. Policy intended at reducing poverty in each of the two countries should recognise the poverty profile differences across age groups, geographical areas and dimensions.

Suggested Citation

  • Paola Ballon and Jean-Yves Duclos, 2015. "Multidimensional Poverty in Sudan and South Sudan," OPHI Working Papers ophiwp093.pdf, Queen Elizabeth House, University of Oxford.
  • Handle: RePEc:qeh:ophiwp:ophiwp093.pdf

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    2. Zheng, Buhong, 1997. " Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-162, June.
    3. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, December.
    4. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Sebastián Burgos Dávila & Fernando Cando Ortega, 2016. "Multidimensional poverty: an index for Ecuador using Alkire and Foster methodology," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 41(42), pages 11-52, July-Dece.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:qeh:ophiwp:ophiwp093.pdf. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IT Support). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.