Zimbabwe

Profil de pays : Indicateurs de développement humain

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Rapports nationaux sur le développement humain pour Zimbabwe

 

Indice de développement humain
Classement n.d.
Année Zimbabwe Développement humain faible África Subsahariana Monde
2012 0.397  0.466  0.475  0.694  
2011 0.387  0.464  0.472  0.692  
2010 0.374  0.461  0.468  0.690  
2009 0.359  0.455  0.463  0.685  
2008 0.345  0.448  0.456  0.683  
2007 0.355  0.442  0.449  0.678  
2006 0.353  0.432  0.440  0.672  
2005 0.352  0.424  0.432  0.666  
2000 0.376  0.385  0.405  0.639  
1995 n.d. n.d.  0.397  0.618  
1990 0.427  0.350  0.387  0.600  
1985 n.d. n.d.  0.378  0.578  
1980 0.367  0.315  0.366  0.561  

Indice de développement humain

Pour en savoir plus sur l’Indice de développement humain
Revenu
Revenu national brut (RNB) par habitant ($ constants de 2005) (Constant 2005 international $) 424
Durabilité
Émissions de dioxyde de carbone par habitant (tonnes) 0.7
Démographie
Population, total des deux sexes (en milliers) 13,013.7
Indices composites
IDH non monétaire  0.542
Indicateur Valeur Notes
IDH non monétaire  0.542
Innovation et technologie
Abonnés à un téléphone fixe ou mobile pour 100 habitants (pour 100 personnes) 64.3
Commerce, économie et revenus
IDH : Indice de revenu 0.213
Notes
1. Data refer to 2011 or the most recent year available.
2. Les données correspondent à l’année la plus récente disponible au cours de la période indiquée.
3. United Nations Educational, Scientific and Cultural Organization Institute for Statistics (UIS) estimate derived from its Global Age-specific Literacy Projections Model, which is based on national data since 2000.
4. Data refer to 2010 or the most recent year available.
5. Based on PPP data from IMF (2012).
6. The list of surveys used for estimation of inequalities is given at http://hdr.undp.org.
7. The list of surveys used for estimation of inequalities is given at http://hdr.undp.org.
8. Not all indicators were available for all countries; caution should thus be used in cross-country comparisons. Where data are missing, indicator weights are adjusted to total 100 percent. For details on countries missing data, see Alkire and others (2011).
9. Estimates have been computed to ensure comparability across countries; thus they are not necessarily the same as official statistics of the countries, which may use alternative rigorous methods.
10. Data were computed to ensure comparability across countries and are thus not necessarily the same as official country statistics, which may be based on alternative rigorous methods. Data are rounded according to the following scheme: less than 100, no rounding; 100–999, rounded to the nearest 10; and greater than 1,000, rounded to the nearest 100.
11. Projections based on medium-fertility variant.
 
n.d. Données non disponibles




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Rapport 2013