This appendix lists the data sources used to estimatethe population figures in the GIS database and other relevantinformation pertaining to the demographic estimates and GIS datasets. The data for the nineteen West African countries have beenestimated by Benoit Ninnin for the West Africa Long Term PerspectiveStudy (WALTPS) carried out by the Club du Sahel/OECD (see Ninnin1994). All other figures have been estimated by the author atNCGIA. Unless otherwise stated the administrative boundariesare the same as those in the African Data Sampler (WRI 1995) orin the WALTPS database (see Brunner et al 1995).
Algeria
Data for 1967, 76 and 86 were available as a digitalfile, produced by the National Statistical Office in collaborationwith the UN Software Development (POPMAP) Project (UNSD/DESIPA).
P60-90 based on the average annual inter-censal growthrates.
Angola
There are no reliable data available for Angola sincethe last census was carried out in 1970. Since then, considerabledisplacement of people has taken place due to the civil war. All published data in the
Statistical Yearbooks and other publications (e.g.,the Economist's Intelligence Unit report) are estimates producedby the National Statistics Institute based on 1970 data in 1987. The accuracy of these estimates is obviously very limited. Still,these estimates were used for 1970, 80 and 90. For 1960, datawere obtained from 2) above.
Even though a district level GIS database is available,no data at this level could be obtained. A province level databasewas therefore used for this data set.
Benin
WALTPS pop estimates based on:
Botswana
71 and 81 pop for Gaborone and Francistown estimatedusing the inter-censal growth rates for Gaborone Town between71-81 and 81-91 derived from the UN Urban Database. 71 and 81pop for towns from the census list obtained from the UN StatisticsDivision's Software Development Pproject, but not included inthe Botswana village publication were derived by using the overallBotswana inter-censal growth rates.
Some adjustments were necessary because the censuspublications did not match the districts in the administrativeunits coverage obtained from EDC/SADC via the Univ. of Arizona. First the populations listed separately for urban areas wereadded to the corresponding districts. Next it was determinedwhich district populations needed to be split into which unitsin the GIS coverage:
Central Serowe/Palapye into Serowe and Palapye;
Tuli population was estimated as a share of the Palapye;Machaneng and Bobonong populations;
Kweneng into Kweneng South and North;
Ngwaketse into Ngwaketse North Central and South;
The shares were determined as follows: First thepopulation of urban places in the districts obtained from 2) abovewere assigned to the correct districts (usually the coordinateswere obtained from the Times Atlas and the district into whichthe place falls was determined using the GIS coverage). Nextthe residual population was split weighted by area; where thiswould make little sense due to the nature of the districts' terrain,uniform shares were used.
P70-P90 obtained by using inter-censal growth ratesbetween the three censuses for which data were available. P60estimated by first calculating 1964-71 growth rates for aggregatedistricts as listed in 3). These rates were then applied forall new districts in each larger old district to obtain 1960 populations.
Burkina Faso
WALTPS pop estimates based on:
Boundary data source: USGS/EDC USAID/FEWS
Burundi
Commune level data available only for 1990 census. Province totals for 1979 (15 provinces) and 1965 (8 provinces). Bujumbura (city) population treated separately based on populationfigures for 1965, 70, 79, 86 and 90.
P80 calculated based on province growth rates for79-90 period. P60&70 based on province growth rates for 65-79period. Earlier estimates are therefore only fairly accurate forprovince level, while for commune level, homogeneous growth rateswere assumed.
Cameroon
WALTPS pop estimates based on:
Cape Verde
WALTPS pop estimates based on:
Central African Republic
WALTPS pop estimates based on:
Chad
WALTPS pop estimates based on:
Boundary data source: USGS/EDC USAID/FEWS
Comores
Data for 1958 and 66 censuses, and separate figuresfor Mayotte (belonging to France) for 1978 and the three otherislands for 1980.
Congo
District level data available for 1974 - only provincelevel data for 1984. Province level growth rates were used forinterpolation, except for communes (6 major cities) for whichdata was available for 74 and 84, for Brazzaville and Pointe Noirealso for 1960 from UNSTAT. These cities were treated explicitly,while the residual population in the corresponding district wasinterpolated using aggregate province growth rates.
For 1960, the estimated figures were adjusted uniformlyto match the 1960 estimates of UN Pop Division for Congo.
Boundaries digitized from 1:1m IGN map.
Côte d'Ivoire
WALTPS pop estimates based on:
Boundaries obtained from the National Committee onRemote Sensing and Geographic Information (CNTIG) in Côted'Ivoire.
[ African Population Distribution Database |
UNEP/GRID-Sioux Falls ]
<URL: http://grid2.cr.usgs.gov/globalpop/africa/country-specific/a_c.htm>
Last modified: 20 February 1997.
Please address any comments or suggestions to
uwe@ncgia.ucsb.edu.