1) Natural Geography
Area > Comparative to US places slightly larger than Montana |
||
Area > Land | 386,670 sq km | [59th of 238] |
Area > Land (per capita) | 34.068 sq km per 1,000 people | [56th of 227] |
Area > Total | 390,580 sq km | [65th of 250] |
Area > Total (per capita) | 34.412 sq km per 1,000 people | [59th of 231] |
Area > Water | 3,910 sq km | [70th of 239] |
Area > Water (per capita) | 344.49 sq km per million people | [62nd of 225] |
Capital city with population | Harare - 1,184,169 | |
Climate tropical; moderated by altitude; rainy season (November to March) |
||
Coastline | 0 km | [250th of 271] |
Elevation extremes > Highest point | Inyangani 2,592 m | |
Elevation extremes > Lowest point junction of the Runde and Save rivers 162 m |
||
Forested Land | 49.2% | [37th of 193] |
Geographic coordinates | 20 00 S, 30 00 E | |
Geography > Note landlocked; the Zambezi forms a natural riverine boundary with Zambia; in full flood (February-April) the massive Victoria Falls on the river forms the world's largest curtain of falling water |
||
Irrigated land | 1,740 sq km | [79th of 196] |
Irrigated land (per capita) | 135.27 sq km per million people | [100th of 167] |
Land area > sq. km | 386,850 km² | [60th of 206] |
Land area > sq. km (per capita) | 29.736 km² per 1,000 people | [55th of 206] |
Land boundaries > Border countries Botswana 813 km, Mozambique 1,231 km, South Africa 225 km, Zambia 797 km |
||
Land boundaries > Total | 3,066 km | [58th of 166] |
Land boundaries > Total (per capita) | 270.13 km per million people | [62nd of 164] |
Land use > Arable land | 8.24% | [124th of 258] |
Land use > Other | 91.43% | [101st of 258] |
Land use > Permanent crops | 0.33% | [152nd of 258] |
Largest city with population | Harare - 1,184,169 | |
Location Southern Africa, between South Africa and Zambia |
||
Map references Africa |
||
Maritime claims | none (landlocked) | |
Natural hazards recurring droughts; floods and severe storms are rare |
||
Natural resources coal, chromium ore, asbestos, gold, nickel, copper, iron ore, vanadium, lithium, tin, platinum group metals |
||
northernmost point > Latitude | 15°37'S | |
Population density | 28.87 people per sqkm | [170th of 256] |
Population density > people per sq. km | 33.63 people/m² | [150th of 204] |
Rural population density > rural population per sq. km of arable land | 259.42 people/km² of arable lan | [98th of 188] |
Surface area > sq. km | 390,760 km² | [60th of 206] |
Surface area > sq. km (per capita) | 30.036 km² per 1,000 people | [56th of 207] |
tallest mountains > Mountain | Inyangani | |
Terrain mostly high plateau with higher central plateau (high veld); mountains in east |
SOURCES
CIA World Factbook, 22 August 2006 ; All
CIA World Factbooks 18 December 2003 to 18 December
2008; United Nations
World Statistics Pocketbook and
Statistical Yearbook,
City Population,
CIA World Factbook,
World
Gazetteer, Official government websites.; FAO;
World Development Indicators database; Wikipedia:
List of countries by northernmost point ;
Heal The World Foundation.; Wikipedia:
List of tallest mountains by country
ALTERNATIVE NAMES
Zimbabwe,
Republic of Zimbabwe
Environment
Acidification | 0% | [53rd of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 2.17 % of GNI | [7th of 179] |
Adjusted savings: net forest depletion > % of GNI | 0.06 % of GNI | [34th of 57] |
Adjusted savings: particulate emission damage > % of GNI | 0.09 % of GNI | [136th of 165] |
Areas under protection | 68 | [62nd of 146] |
Areas under protection (per capita) | 5.59165 per 1 million people | [56th of 146] |
Breeding birds threatened | 1.88% | [84th of 136] |
Carbon efficiency | 1.14 CO2 emissions/$ GDP | [70th of 141] |
CFC consumption | 16,872.9 | [34th of 107] |
CFC consumption (per capita) | 1.38746 per 1,000 people | [29th of 107] |
CO2 Emissions | 14,098.3 | [80th of 178] |
CO2 Emissions (per capita) | 1.1593 per 1,000 people | [104th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.45 kg/PPP$ | [53rd of 170] |
CO2 emissions > kt | 11,465.19 kt | [87th of 195] |
CO2 emissions > kt (per capita) | 0.891 kt per 1,000 people | [133rd of 196] |
CPIA policy and institutions for environmental sustainability rating | 2.5 | [57th of 75] |
Current issues |
||
Ecological footprint | 1.45 | [86th of 141] |
Endangered species protection | 88.9% | [34th of 141] |
Environmental agreement compliance | 3.12 | [62nd of 70] |
Fertiliser consumption | 541.61 hundred grams/hectare | [76th of 141] |
Forest area > % of land area | 45.34 % of land area | [53rd of 195] |
Forest area > sq. km | 175,400 km² | [33rd of 195] |
Forest area > sq. km (per capita) | 13,482.424 km² per 1,000 people | [36th of 195] |
Freshwater withdrawal | 4.21 | [4th of 124] |
Freshwater withdrawal > Agricultural | 79% | [3rd of 124] |
Freshwater withdrawal > Domestic | 14% | [7th of 124] |
Freshwater withdrawal > Industrial | 7% | [9th of 124] |
Groundwater withdrawals | 0 | [98th of 188] |
International agreements > Party to |
||
International agreements > Signed but not
ratified none of the selected agreements |
||
Known breeding bird species | 229 | [58th of 146] |
Known breeding bird species (per capita) | 18.8307 per 1 million people | [76th of 146] |
Known mammal species | 270 | [21st of 145] |
Known mammal species (per capita) | 22.2021 per 1 million people | [38th of 145] |
Marine fish catch | 0 tons | [110th of 141] |
Marine fish catch (per capita) | 0 tons per 1,000 people | [110th of 141] |
Non-wildness | 2.01% | [81st of 141] |
NOx emissions per populated area | 0.21 thousand metric tons/squ | [77th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 26,809.64 kg/day | [61st of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.19 kg per day per worker | [38th of 115] |
PM10, country level > micrograms per cubic meter | 28.3 mcg/m³ | [125th of 185] |
Pollution > Carbon dioxide 1999 | 4,810 | [76th of 199] |
Protected area | 7.9 | [50th of 147] |
SO2 emissions per populated area | 330 thousand metric tons/squ | [88th of 141] |
SO2 exports | 2,129.68 hundred metric tons | [32nd of 141] |
Threatened species > Mammal | 9 | [93rd of 160] |
Total renewable water resources | 20 cu km | [14th of 31] |
Urban NO2 concentration | 47.56 micrograms/m3 | [78th of 141] |
Urban SO2 concentration | 38.44 micrograms/m3 | [80th of 141] |
Water > Availability | 3.4 thousand cubic metres | [64th of 141] |
Water > Dissolved oxygen concentration | 4.8 mls/litre | [133rd of 141] |
Water > Freshwater pollution | 0.42 tons/cubic km | [44th of 69] |
Water > Phosphorus concentration | 0.09 mls/litre | [124th of 141] |
Water > Salinisation | 700.63 | [64th of 141] |
Water > Severe water stress | 16.2 | [57th of 140] |
Water > Suspended solids | 4.62 mls/litre | [82nd of 141] |
Water pollution, chemical industry > % of total BOD emissions | 7.85 % | [46th of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.26 % | [33rd of 112] |
Water pollution, food industry > % of total BOD emissions | 54.19 % | [37th of 114] |
Water pollution, metal industry > % of total BOD emissions | 5.22 % | [47th of 94] |
Water pollution, other industry > % of total BOD emissions | 3.11 % | [56th of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 10.24 % | [59th of 111] |
Water pollution, textile industry > % of total BOD emissions | 16.28 % | [30th of 114] |
Water pollution, wood industry > % of total BOD emissions | 2.85 % | [33rd of 114] |
Wildness | 1.04% | [86th of 141] |
SOURCES
Stockholm Environment
Institute at York, Acidification in Developing
Countries: Ecosystem Sensitivity and the Critical Loads
Approach at the Global scale, 2000 via ciesin.org;
World Development Indicators database;
World Resources Institute;
2000 IUCN
Red List, and World Resources Institute,World
Resources 2000-2001, Washington, DC: WRI, 2000. Original
sources: World Conservation Monitoring Center, IUCN-The
World Conservation Union, Food and Agriculture
Organization of the United Nations and other sources.;
Carbon Dioxide Information Analysis Center; UNEP,
Production and Consumption of Ozone Depleting
Substances, 1986-1998, October 1999. via ciesin.org;
World Resources Institute. 2003. Carbon Emissions from
energy use and cement manufacturing, 1850 to 2000.
Available on-line through the
Climate Analysis
Indicators Tool (CAIT) at Washington, DC: World
Resources Institute; All
CIA World Factbooks 18 December 2003 to 18 December
2008; World Wide Fund for Nature (WWF), Living Planet
Report 2000, Gland, Switzerland: 2000, and
Redefining Progress.;
Convention on International Trade in Endangered Species
of Wild Fauna and Flora, Report on National Reports
Required Under Article VIII, Paragraph 7(a), of the
Convention, Eleventh Meeting of the Conference of the
Parties, Gigiri, Kenya, April 2000; Michael E. Porter et
al, The Global Competitveness Report 2001. Oxford:
Oxford University Press, 2001. via ciesin.org; World
Bank, World Development Indicators 2001. Washington, DC:
World Bank, 2001. via ciesin.org; ;
FAOSTAT on-line database;
Wild Areas Project (WAP), joint Wildlife Conservation
Society (WCS) and CIESIN project to map the last wild
places on the earth's surface. Accessed via ciesin.org;
Intergovernmental Panel on Climate Change:
Special Report on Emissions Scenarios, Data Version
1.1, B1Illustrative Marker Scenario with model IMAGE;
Gregg Marland, Tom Boden, and Bob Andres, University of
North Dakota, via
net publication;
Jacaranda Atlas; International Institute for Applied
Systems Analysis, RAINS-ASIA and Co-operative Programme
formonitoring and evaluation of the long range
transmission of air pollutants in Europe (EMEP) via
ciesin.org; World Resources Institute, World Resources
1998-99; World Bank, World Development Indicators 2000;
WHO,Air Management Information System-AMIS 2.0, 1998;
and Global Urban Observatory, Citibase, 1999. via
ciesin.org; Center for Environmental Systems Research,
University of Kassel, WaterGAP 2.1B, 2001 via
ciesin.org; United Nations Environment Programme (UNEP),
Global Environmental
Monitoring System/Water Quality Monitoring System,
with data for an additional 29 countries from
Prescott-Allen,R. The Well being of Nations, Washington,
DC: Island Press, 2001; World Bank, World Development
Indicators 2001, Washington, DC: World Bank, 2001 (for
BOD emissions)and Center for Environmental Systems
Research, University of Kassel, WaterGap 2.1, 2000 (for
data on waterquantity). via ciesin.org; United Nations
Environment Programme (UNEP),
Global Environmental
Monitoring System/Water Quality Monitoring System,
with data for an additional 29 countries from
Prescott-Allen, R. The Well being of Nations,
Washington, DC: Island Press, 2001; Center for
Environmental Systems Research, University of Kassel,
WaterGap 2.1, 2000 via ciesin.org; Wild Areas Project
(WAP), joint Wildlife Conservation Society (WCS) and
CIESIN project to map the lastwild places on the earth's
surface. via ciesin.org
ALTERNATIVE NAMES
Zimbabwe,
Republic of Zimbabwe
2) Human geography
Age distribution
Zimbabwe Population Pyramid for 1990
Age and sex distribution for the year 1990
Compensation of employees > % of expense | 37.74 % | [13th of 97] |
Compensation of employees > current LCU | 12952500000 | |
CPIA building human resources rating | 2 | [75th of 75] |
Economic activity > Both sexes aged 10-14 | 27.04 | [27th of 89] |
Economic activity > Both sexes aged 15-19 | 48.34 | [51st of 167] |
Economic activity > Both sexes aged 20-24 | 76.65 | [58th of 166] |
Economic activity > Both sexes aged 25-29 | 82.57 | [82nd of 167] |
Economic activity > Both sexes aged 30-34 | 90.22 | [41st of 165] |
Economic activity > Both sexes aged 35-39 | 88.95 | [57th of 166] |
Economic activity > Both sexes aged 40-44 | 87.82 | [61st of 167] |
Economic activity > Both sexes aged 45-49 | 87.41 | [50th of 163] |
Economic activity > Both sexes aged 50-54 | 85.36 | [33rd of 166] |
Economic activity > Both sexes aged 55-59 | 82.74 | [17th of 166] |
Economic activity > Both sexes aged 60-64 | 76.47 | [13th of 166] |
Economic activity > Both sexes aged 65 plus | 57.68 | [8th of 165] |
Economic activity > Men aged 10-14 | 30.45 | [25th of 92] |
Economic activity > Men aged 15-19 | 53.59 | [58th of 164] |
Economic activity > Men aged 20-24 | 89.02 | [30th of 166] |
Economic activity > Men aged 25-29 | 97.34 | [17th of 165] |
Economic activity > Men aged 30-34 | 97.68 | [49th of 165] |
Economic activity > Men aged 35-39 | 97.88 | [55th of 164] |
Economic activity > Men aged 40-44 | 97.68 | [38th of 163] |
Economic activity > Men aged 45-49 | 97.61 | [23rd of 167] |
Economic activity > Men aged 50-54 | 96.08 | [28th of 165] |
Economic activity > Men aged 55-59 | 93.92 | [26th of 167] |
Economic activity > Men aged 60-64 | 86.83 | [35th of 165] |
Economic activity > Men aged 65 plus | 59.55 | [39th of 162] |
Economic activity > Women aged 10-14 | 23.63 | [32nd of 89] |
Economic activity > Women aged 15-19 | 43.11 | [50th of 164] |
Economic activity > Women aged 20-24 | 64.4 | [82nd of 166] |
Economic activity > Women aged 25-29 | 67.95 | [90th of 165] |
Economic activity > Women aged 30-34 | 82.86 | [42nd of 167] |
Economic activity > Women aged 35-39 | 80.2 | [56th of 165] |
Economic activity > Women aged 40-44 | 78.31 | [62nd of 165] |
Economic activity > Women aged 45-49 | 77.81 | [54th of 161] |
Economic activity > Women aged 50-54 | 75.27 | [40th of 166] |
Economic activity > Women aged 55-59 | 72.25 | [20th of 167] |
Economic activity > Women aged 60-64 | 66.87 | [11th of 165] |
Economic activity > Women aged 65 plus | 56.07 | [6th of 167] |
Economically active children, female | 15.3 % | [3rd of 34] |
Economically active children, male | 13.3 % | [6th of 34] |
Economically active children, study and work | 88 % | [3rd of 34] |
Economically active children, study and work, female | 88.6 % | [3rd of 34] |
Economically active children, study and work, male | 87.2 % | [3rd of 34] |
Economically active children, total | 14.3 % | [5th of 34] |
Economically active children, work only | 12 % | [8th of 34] |
Economically active children, work only, female | 11.4 % | [8th of 33] |
Economically active children, work only, male | 12.8 % | [8th of 34] |
Female economic activity | 65.3% | [33rd of 156] |
Female economic activity growth | -2% | [130th of 156] |
Firing cost > weeks of wages | 446.3 weeks of wages | [1st of 164] |
force participation rate, female > % of female population ages 15-64 | 64.53 % | [55th of 184] |
force participation rate, male > % of male population ages 15-64 | 85.17 % | [49th of 184] |
force participation rate, total > % of total population ages 15-64 | 74.75 % | [46th of 184] |
force, female > % of total labor force | 44 % | [72nd of 184] |
force, total | 5,762,575 | [65th of 184] |
force, total (per capita) | 0.443 per capita | [90th of 184] |
Labor force | 4,032,000 | [67th of 132] |
Labor force (per capita) | 327,508.177 per million people | [101st of 131] |
Labor force > By occupation agriculture 66%, industry 10%, services 24% |
||
Labor force > By occupation > Agriculture | 66% | [4th of 32] |
Labor force > By occupation > Industry | 10% | [5th of 29] |
Labor force > By occupation > Services | 24% | [4th of 29] |
Minimum Age Convention, 1973 > Ratifications > Date | June 6, 2000 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [146th of 146] |
Parental leave > Paid maternity leave | 90 days | |
Regulation | 27 | [118th of 123] |
Regulation > Employment Conditions | 22 | [123rd of 123] |
Regulation > Firing | 26 | [89th of 123] |
Regulation > Hiring | 33 | [89th of 123] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | August 27, 1998 | |
Rigidity of employment index | 34 | [94th of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 21.8 % | [117th of 174] |
Unemployment rate | 80% | [1st of 107] |
Unemployment with secondary education, female > % of female unemployment | 76.8 % | [3rd of 71] |
Unemployment with secondary education, male > % of male unemployment | 84.8 % | [1st of 71] |
Unemployment with tertiary education > % of total unemployment | 0.8 % | [74th of 77] |
Unemployment with tertiary education, female > % of female unemployment | 1.1 % | [67th of 71] |
Unemployment with tertiary education, male > % of male unemployment | 0.6 % | [68th of 71] |
Unemployment, female > % of female labor force | 6.1 % | [59th of 95] |
Unemployment, male > % of male labor force | 10.4 % | [24th of 95] |
Unemployment, total > % of total labor force | 8.2 % | [54th of 101] |
Unemployment, youth female > % of female labor force ages 15-24 | 21.4 % | [31st of 77] |
Unemployment, youth male > % of male labor force ages 15-24 | 28.2 % | [10th of 77] |
Unemployment, youth total > % of total labor force ages 15-24 | 24.9 % | [17th of 77] |
Workers' remittances and compensation of employees, paid > US$ | 7,000,000 $ | [93rd of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 1.016 $ per $1,000 of GDP | [126th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 0.603 $ per 1,000 people | [134th of 167] |
Workers' remittances and compensation of employees, received > US$ | 44,000,000 $ | [82nd of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 6.385 $ per $1,000 of GDP | [89th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 3.79 $ per capita | [121st of 167] |
Workers' remittances, receipts > BoP, current US$ | 2,333,562 BoP $ | [50th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 273.26 BoP $ per $1 million of | [118th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 295.643 BoP $ per 1,000 people | [119th of 143] |
SOURCES
World Development Indicators database; Economic
activity rate and economically active population, by
sex, thirteen age groups, 1950-2010 (ILO estimates and
projections) are data from the International Labour
Union (ILO). Source details: ILO, Economically Active
Population, 1950-2010, fourth edition, diskette database
(Geneva, 1997). The latest set of estimates and
projections covering the period 1950-2010 (4th edition)
was released by ILO in December 1996. These data are
updated every five-ten years by ILO and a new set of
these data is in preparation; calculated on the basis of
data on the economically active population and total
population from ILO (International Labour Organization).
2002. Estimates and Projections of the Economically
Active Population, 1950-2010, 4th ed., rev. 2. Database.
Geneva; All
CIA World Factbooks 18 December 2003 to 18 December
2008; Wikipedia:
Minimum Age Convention, 1973 ; Wikipedia:
Parental leave ;
The World Bank Group The original methodology and
data come from The Regulation of Labor, by Juan Botero,
Simeon Djankov, Rafael La Porta, Florencio
Lopez-de-Silanes, and Andrei Shleifer. When using the
data, please also cite this paper as a reference.;
The World Bank Group The original methodology and
data come from The Regulation of Labor, by Juan Botero,
Simeon Djankov, Rafael La Porta, Florencio
Lopez-de-Silanes, and Andrei Shleifer. When using the
data, please also cite this paper as a reference;
Wikipedia:
Right to Organise and Collective Bargaining Convention,
1949
ALTERNATIVE NAMES
Zimbabwe,
Republic of Zimbabwe
Lifestyle
Life satisfaction | 3.3 | [68th of 69] |
Life satisfaction inequality | 3.1 | [4th of 87] |
Political orientation > Far left | 23.3% | [1st of 61] |
Political orientation > Far right | 4.4% | [34th of 61] |
SOURCES
World Database of
Happiness, Happiness in Nations, Rank Report 2004/1
Average
happiness in 90 nations 1990-2000; World Database of
Happiness, Happiness in Nations, Rank Report 2004/3b.
Equality of happiness in 90 nations 1990-2000. How
much citizens differ in enjoyment of their life as a
whole; World Values Survey
ALTERNATIVE NAMES
Zimbabwe,
Republic of Zimbabwe
People
SOURCES
Wikipedia:
List of African countries by population density ;
World Development Indicators database;
CIA World Factbook, 22 August 2006 ;
CIA World Factbook, 28 July 2005; All
CIA World Factbooks 18 December 2003 to 18 December
2008;
UNICEF;
University Libraries, Ohio University;
U.S. Census Bureau, Population Division, International
Programs Center ; Human Development Reports, United
Nations 2002; Wikipedia:
Greek diaspora ; Wikipedia:
Jewish population ; Population Division of the
United Nations Secretariat, World Urbanization
Prospects: The 2003 Revision, Data Tables and
Highlights. Estimates and projections of urban and rural
populations are made by the Population Division of the
United Nations Secretariat and published every two
years. These estimates and projections are based on
national census or survey data that have been evaluated
and, whenever necessary, adjusted for deficiencies and
inconsistencies;
World Development Indicators database and
CIA World Factbook;
CIA World Factbook, 14 June, 2007 ; Population
Division of the Department of Economic and Social
Affairs of the United Nations Secretariat, World
Population Prospects: The 2004 Revision and World
Urbanization Prospects: http://esa.un.org/unpp;
Population Reference Bureau, 2001 World Population Data
Sheet, Washington, DC: PRB, 2001. via ciesin.org; The
Office of the High Commissioner for Human Rights; The
Office of the High Commissioner for Human RIghts;
Wikipedia:
Sex
ratio ;
U.S. Census Bureau, Population Division, International
Programs Center Spanish
Statistical Institute; Population Division of the
United Nations Secretariat, World Urbanization
Prospects: The 2001 Revision, Data Tables and Highlights
(ESA/P/WP.173, 20 March 2002); UN (United Nations).
2002. World Urbanization Prospects: The 2001 Revision.
Department of Economic and Social Affairs, Population
Division. New York
ALTERNATIVE NAMES
Zimbabwe,
Republic of Zimbabwe
Mortality
Death rate, crude > per 1,000 people | 22.9 per 1,000 people | [4th of 195] |
rate, adult, female > per 1,000 female adults | 807.85 per 1,000 female adults | [4th of 185] |
rate, adult, male > per 1,000 male adults | 771.84 per 1,000 male adults | [4th of 185] |
rate, infant > per 1,000 live births | 81 per 1,000 live births | [30th of 187] |
rate, under-5 > per 1,000 | 132 per 1,000 | [27th of 187] |
SOURCES
World Development Indicators database
ALTERNATIVE NAMES
Zimbabwe,
Republic of Zimbabwe
Immigration
immigrant population > Immigrants as percentage of state population | 3.928 | [91st of 195] |
immigrant population > Number of immigrants | 511,000 | [62nd of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.5% | |
International migration stock > % of population | 3.93 % | [102nd of 205] |
International migration stock, total | 510,637 | [63rd of 205] |
Net migration | -50,000 | [119th of 180] |
Net migration (per capita) | -3.843 per 1 million people | [100th of 185] |
Net migration rate | 0 migrant(s)/1,000 populati | [128th of 225] |
Net migration rate > A note there is a small but steady flow of Zimbabweans into South Africa in search of better paid employment (2002 est.) |
||
Refugee population by country or territory of asylum | 13,850 | [53rd of 151] |
Refugee population by country or territory of asylum (per capita) | 1,064.604 per 1 million people | [66th of 162] |
Refugee population by country or territory of origin | 11,251 | [52nd of 77] |
Refugee population by country or territory of origin (per capita) | 0.865 per 1 million people | [43rd of 77] |
Refugees > Convention on refugees | 25 Aug 1981 a | |
Refugees > US applications | 1 | [62nd of 64] |
Refugees > US applications (per capita) | 0 per 1,000 people | [56th of 63] |
Refugees > US applications approved | 0 | [53rd of 53] |
Refugees > US applications approved (per capita) | 0 per 1,000 people | [52nd of 52] |
Refugees > US applications denied | 1 | [39th of 41] |
Refugees > US applications denied (per capita) | 0 per 1,000 people | [37th of 40] |
Refugees and internally displaced persons > IDPs | 569,685 | [6th of 40] |
Refugees and internally displaced persons > IDPs (per capita) | 46.274 per 1,000 people | [5th of 40] |
Refugees and internally displaced persons >
Refugees (country of origin) 2,500 (Democratic Republic of Congo) |
||
US visa lottery winners | 168 US visa lottery winners | [65th of 178] |
US visa lottery winners (per capita) | 13.8147 US visa lottery winners | [89th of 176] |
SOURCES
Wikipedia:
List of countries by immigrant population ;
World Development Indicators database; All
CIA World Factbooks 18 December 2003 to 18 December
2008; CIA World Factbook, December 2003; United Nations
Treaty Collection; United
States Citizenship and Immigration Services; US
Department of State: Bureau of Consular Affairs
ALTERNATIVE NAMES
Zimbabwe,
Republic of Zimbabwe
Other articles in this category |
---|
Zimbabwe at a glance |
Geography |
History |
Culture |
Economy(1) |
Economy(2) |
Politics |
Military |