Zimbabwe

Country Profile: Human Development Indicators

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National Human Development Reports for Zimbabwe

 

Human Development Index
Ranking n.a.
Year Zimbabwe Low human development Sub-Saharan Africa World
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.a. n.a.  0.397  0.618  
1990 0.427  0.350  0.387  0.600  
1985 n.a. n.a.  0.378  0.578  
1980 0.367  0.315  0.366  0.561  

Human Development Index

Read more about the Human Development Index
Health
Life expectancy at birth (years) 52.7
Income
GNI per capita in PPP terms (constant 2005 international $) (Constant 2005 international $) 424
Sustainability
Carbon dioxide emissions per capita (tonnes) 0.7
Demography
Population, total both sexes (thousands) 13,013.7
Composite indices
Non-income HDI value 0.542
Indicator Value Notes
Non-income HDI value 0.542
Innovation and technology
Fixed and mobile telephone subscribers per 100 people (per100 people) 64.3
Trade, economy and income
Income index 0.213
Indicator Value Notes
GDP per capita (2005 PPP $) n.a.
Income index 0.213
Footnotes
1. Data refer to 2011 or the most recent year available.
2. Data refer to the most recent year available during the period specified.
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.a. Data not available




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2013 Report