English
Arabic
Dutch
French
German
Hindi
Italian
Russian
Spanish
Abstract :
This paper aims to introduce the usefulness of the French method in using administrative samples in population censuses, especially in African countries that suffer from financial, logistical and human difficulties in completing their censuses in a comprehensive and accurate manner every ten years according to international standards. In this paper, the results of the Fifth Population Census 2008 AD were compared with the results of the Comprehensive Health Survey 2006 AD to test the adequacy of the samples in expressing the population census at least. Additional to the feasibility of the French method in general.
Keywords :
Census Population, Correlation, T-Test.References :
- The 2010 Round Population and Housing Censuses in Africa , Economic Commission for Africa, E/ECA/STATCOM/3/9,June2011,http://www.uneca.org/statcom/2010 Round Population and Housing Censuses in Africa.pdf
- H. Ahmed, The Fifth population census in Sudan: A census with a full coverage and a high accuracy.
- Principles and Recommendations , for population and housing censuses ,series M,No 67/ Rev2, UN Statistics Division http://unstats.un.org/
- French methods and practices regarding the statistical burden, INSEE ,France http://epp.eurostat.ec.europa.eu/portal/page/portal/conferences/documents/94th_dgins_conference/I%203%20FRANCE%20-%20FRENCH%20METHODS.PDF.
- Godiont,A.(2004),Redesigning the French population Census,Courrier des Statistiques,English Version n 10.
- Desrosieres,A.(2007),Surveys versus administrative : reflections on the duality of statistical sources. Courrier des Statistiques,English Version n 13.
- ph.(2007) , Redesigning the French structural business statistics, using more administrative data proceeding of the Third International Conference on Establishment surveys ,Montreal.
- Blanc,M.,Desrosierres , A. (2001) , France’s National Council for Statistical Information (CNIS) : origin , missions , and role for improving quality , Proceeding of the international Conference on Quality in Official Statistics, Stockholm
