1) Natural geography
Area > Comparative slightly more than half the size of Alaska |
||
Area > Comparative to US places slightly more than half the size of Alaska |
||
Area > Land | 825,418 sq km | [34th of 238] |
Area > Land (per capita) | 395.189 sq km per 1,000 people | [6th of 227] |
Area > Total | 825,418 sq km | [40th of 250] |
Area > Total (per capita) | 395.189 sq km per 1,000 people | [6th of 231] |
Area > Water | 0 sq km | [163rd of 239] |
Area > Water (per capita) | 0 sq km per million people | [160th of 225] |
Capital city with population | Windhoek - 161,000 | |
Climate desert; hot, dry; rainfall sparse and erratic |
||
Coastline | 1,572 km | [73rd of 271] |
Elevation extremes > Highest point | Konigstein 2,606 m | |
Elevation extremes > Lowest point | Atlantic Ocean 0 m | |
Forested Land | 9.8% | [149th of 193] |
Geographic coordinates | 22 00 S, 17 00 E | |
Geography > Note first country in the world to incorporate the protection of the environment into its constitution; some 14% of the land is protected, including virtually the entire Namib Desert coastal strip |
||
Irrigated land | 80 sq km | [141st of 196] |
Irrigated land (per capita) | 40.283 sq km per million people | [132nd of 167] |
Land area > sq. km | 823,290 km² | [33rd of 206] |
Land area > sq. km (per capita) | 405.312 km² per 1,000 people | [3rd of 206] |
Land boundaries > Border countries Angola 1,376 km, Botswana 1,360 km, South Africa 967 km, Zambia 233 km |
||
Land boundaries > Total | 3,936 km | [47th of 166] |
Land boundaries > Total (per capita) | 1,884.454 km per million people | [8th of 164] |
Land use > Arable land | 0.99% | [196th of 258] |
Land use > Other | 99% | [41st of 258] |
Land use > Permanent crops | 0.01% | [194th of 258] |
Largest city | Windhoek | |
Largest city population | 190,000 | [136th of 174] |
Largest city population (per capita) | 0.094 per capita | [123rd of 174] |
Largest city with population | Windhoek - 161,000 | |
Location Southern Africa, bordering the South Atlantic Ocean, between Angola and South Africa |
||
Map references Africa |
||
Maritime claims > Contiguous zone | 24 nautical mile | [37th of 83] |
Maritime claims > Exclusive economic zone | 200 nautical mile | [60th of 123] |
Maritime claims > Territorial sea | 12 nautical mile | [46th of 191] |
Natural hazards prolonged periods of drought |
||
Natural resources diamonds, copper, uranium, gold, silver, lead, tin, lithium, cadmium, tungsten, zinc, salt, hydropower, fish; note: suspected deposits of oil, coal, and iron ore |
||
northernmost point > Latitude | 16°56'S | |
Population density | 2 people per sqkm | [225th of 256] |
Population density > people per sq. km | 2.47 people/m² | [202nd of 204] |
Rural population density > rural population per sq. km of arable land | 160.78 people/km² of arable lan | [130th of 188] |
Surface area > sq. km | 824,290 km² | [33rd of 206] |
Surface area > sq. km (per capita) | 405.804 km² per 1,000 people | [3rd of 207] |
tallest mountains > Mountain | Konigstein | |
Terrain mostly high plateau; Namib Desert along coast; Kalahari Desert 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; United
Nations
World Statistics Pocketbook and
Statistical Yearbook; Wikipedia:
List of countries by northernmost point ;
Heal The World Foundation.; Wikipedia:
List of tallest mountains by country
ALTERNATIVE NAMES
Namibia,
Republic of Namibia
Environment
Acidification | 0% | [64th of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 0.26 % of GNI | [115th of 179] |
Adjusted savings: particulate emission damage > % of GNI | 0.06 % of GNI | [149th of 165] |
Areas under protection | 21 | [87th of 146] |
Areas under protection (per capita) | 10.3397 per 1 million people | [42nd of 146] |
Breeding birds threatened | 1.92% | [82nd of 136] |
Carbon efficiency | 0 CO2 emissions/$ GDP | [141st of 141] |
CFC consumption | 222.59 | [76th of 107] |
CFC consumption (per capita) | 0.109596 per 1,000 people | [54th of 107] |
CO2 Emissions | 1,944.9 | [124th of 178] |
CO2 Emissions (per capita) | 0.957607 per 1,000 people | [111st of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.19 kg/PPP$ | [121st of 170] |
CO2 emissions > kt | 2,326 kt | [130th of 195] |
CO2 emissions > kt (per capita) | 1.171 kt per 1,000 people | [120th of 196] |
Current issues limited natural fresh water resources; desertification; wildlife poaching; land degradation has led to few conservation areas |
||
Ecological footprint | 0.66 | [140th of 141] |
Endangered species protection | 87.5% | [37th of 141] |
Fertiliser consumption | 1,292.97 hundred grams/hectare | [44th of 141] |
Forest area > % of land area | 9.31 % of land area | [153rd of 195] |
Forest area > sq. km | 76,610 km² | [62nd of 195] |
Forest area > sq. km (per capita) | 37,715.655 km² per 1,000 people | [17th of 195] |
Freshwater withdrawal | 0.3 | [102nd of 124] |
Freshwater withdrawal > Agricultural | 71% | [65th of 124] |
Freshwater withdrawal > Domestic | 24% | [34th of 124] |
Freshwater withdrawal > Industrial | 5% | [69th of 124] |
Groundwater withdrawals | 0 | [116th of 188] |
International agreements > Party to Antarctic-Marine Living Resources, Biodiversity, Climate Change, Climate Change-Kyoto Protocol, Desertification, Endangered Species, Hazardous Wastes, Law of the Sea, Ozone Layer Protection, Wetlands |
||
International agreements > Signed but not
ratified none of the selected agreements |
||
Known breeding bird species | 201 | [79th of 146] |
Known breeding bird species (per capita) | 98.966 per 1 million people | [13th of 146] |
Known mammal species | 250 | [26th of 145] |
Known mammal species (per capita) | 123.092 per 1 million people | [6th of 145] |
Marine areas under protection | 4 | [55th of 95] |
Marine areas under protection (per capita) | 1.96947 per 1 million people | [18th of 95] |
Marine fish catch | 294,966 tons | [37th of 141] |
Marine fish catch (per capita) | 145.232 tons per 1,000 people | [6th of 141] |
Non-wildness | 0.04% | [136th of 141] |
NOx emissions per populated area | 1.84 thousand metric tons/squ | [7th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 7,350.12 kg/day | [92nd of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.35 kg per day per worker | [1st of 115] |
PM10, country level > micrograms per cubic meter | 42.61 mcg/m³ | [82nd of 185] |
Pollution > Carbon dioxide 1999 | 35 | [183rd of 199] |
Protected area | 12.9 | [29th of 147] |
SO2 emissions per populated area | 870 thousand metric tons/squ | [58th of 141] |
SO2 exports | 1,795.06 hundred metric tons | [48th of 141] |
Threatened species | 27 | [73rd of 158] |
Threatened species > Mammal | 11 | [70th of 160] |
Urban NO2 concentration | 32.01 micrograms/m3 | [115th of 141] |
Urban SO2 concentration | 10.24 micrograms/m3 | [128th of 141] |
Water > Availability | -1.94 thousand cubic metres | [139th of 141] |
Water > Dissolved oxygen concentration | 7.58 mls/litre | [76th of 141] |
Water > Phosphorus concentration | 0.35 mls/litre | [64th of 141] |
Water > Salinisation | 435.61 | [90th of 141] |
Water > Severe water stress | 17.8 | [55th of 140] |
Water > Suspended solids | 7.01 mls/litre | [17th of 141] |
Water pollution, chemical industry > % of total BOD emissions | 1.57 % | [102nd of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.12 % | [89th of 112] |
Water pollution, food industry > % of total BOD emissions | 90.39 % | [1st of 114] |
Water pollution, other industry > % of total BOD emissions | 0.84 % | [91st of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 5.03 % | [99th of 111] |
Water pollution, textile industry > % of total BOD emissions | 1.16 % | [109th of 114] |
Water pollution, wood industry > % of total BOD emissions | 0.89 % | [93rd of 114] |
Wetlands of intl importance > Area | 630 thousand hectares | [26th of 112] |
Wetlands of intl importance > Area (per capita) | 310.192 thousand hectares per 1 m | [8th of 112] |
Wildness | 66.23% | [13th 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; 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; United Nations
World Statistics Pocketbook and
Statistical Yearbook; 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; 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
Namibia,
Republic of Namibia
2) Human geography
Age distribution
Labor
Agricultural workers > Female | 39% | [10th of 77] |
Agricultural workers > Male | 38% | [11th of 78] |
Child employment in agriculture > % of economically active children ages 7-14 | 91.55 % | [2nd of 11] |
Child employment in agriculture, female > % of female economically active children ages 7-14 | 91.67 % | [2nd of 11] |
Child employment in agriculture, male > % of male economically active children ages 7-14 | 91.45 % | [2nd of 11] |
Child employment in manufacturing > % of economically active children ages 7-14 | 0.39 % | [8th of 10] |
Child employment in manufacturing, female > % of female economically active children ages 7-14 | 0.35 % | [7th of 10] |
Child employment in manufacturing, male > % of male economically active children ages 7-14 | 0.43 % | [7th of 10] |
Child employment in services > % of economically active children ages 7-14 | 8.03 % | [6th of 11] |
Child employment in services, female > % of female economically active children ages 7-14 | 7.98 % | [5th of 11] |
Child employment in services, male > % of male economically active children ages 7-14 | 8.07 % | [7th of 11] |
Compensation of employees > % of expense | 48.61 % | [6th of 97] |
Compensation of employees > current LCU | 5116690000 | |
Economic activity > Both sexes aged 10-14 | 17.37 | [44th of 89] |
Economic activity > Both sexes aged 15-19 | 39.11 | [79th of 167] |
Economic activity > Both sexes aged 20-24 | 69.85 | [109th of 166] |
Economic activity > Both sexes aged 25-29 | 82.35 | [85th of 167] |
Economic activity > Both sexes aged 30-34 | 82.99 | [91st of 165] |
Economic activity > Both sexes aged 35-39 | 82.67 | [95th of 166] |
Economic activity > Both sexes aged 40-44 | 81.77 | [93rd of 167] |
Economic activity > Both sexes aged 45-49 | 80.55 | [89th of 163] |
Economic activity > Both sexes aged 50-54 | 76.24 | [81st of 166] |
Economic activity > Both sexes aged 55-59 | 70.41 | [59th of 166] |
Economic activity > Both sexes aged 60-64 | 48.81 | [81st of 166] |
Economic activity > Both sexes aged 65 plus | 26.73 | [74th of 165] |
Economic activity > Men aged 10-14 | 20.47 | [46th of 92] |
Economic activity > Men aged 15-19 | 49.64 | [72nd of 164] |
Economic activity > Men aged 20-24 | 80.79 | [113rd of 166] |
Economic activity > Men aged 25-29 | 94.69 | [107th of 165] |
Economic activity > Men aged 30-34 | 97.12 | [92nd of 165] |
Economic activity > Men aged 40-44 | 96.97 | [86th of 163] |
Economic activity > Men aged 45-49 | 96.57 | [63rd of 167] |
Economic activity > Men aged 50-54 | 93.77 | [75th of 165] |
Economic activity > Men aged 55-59 | 90.4 | [62nd of 167] |
Economic activity > Men aged 60-64 | 63.88 | [98th of 165] |
Economic activity > Men aged 65 plus | 35.65 | [79th of 162] |
Economic activity > Women aged 10-14 | 14.21 | [47th of 89] |
Economic activity > Women aged 15-19 | 28.42 | [92nd of 164] |
Economic activity > Women aged 20-24 | 58.82 | [108th of 166] |
Economic activity > Women aged 25-29 | 69.94 | [80th of 165] |
Economic activity > Women aged 30-34 | 68.87 | [90th of 167] |
Economic activity > Women aged 35-39 | 68.44 | [92nd of 165] |
Economic activity > Women aged 40-44 | 66.79 | [91st of 165] |
Economic activity > Women aged 45-49 | 65.01 | [86th of 161] |
Economic activity > Women aged 50-54 | 59.89 | [84th of 166] |
Economic activity > Women aged 55-59 | 53.22 | [57th of 167] |
Economic activity > Women aged 60-64 | 35.47 | [63rd of 165] |
Economic activity > Women aged 65 plus | 19.38 | [59th of 167] |
Economically active children, female | 14.69 % | [4th of 34] |
Economically active children, male | 16.19 % | [3rd of 34] |
Economically active children, study and work | 90.51 % | [2nd of 34] |
Economically active children, study and work, female | 93.64 % | [2nd of 34] |
Economically active children, study and work, male | 87.66 % | [2nd of 34] |
Economically active children, total | 15.44 % | [3rd of 34] |
Economically active children, work only | 9.49 % | [9th of 34] |
Economically active children, work only, female | 6.36 % | [9th of 33] |
Economically active children, work only, male | 12.34 % | [9th of 34] |
Employees, agriculture, female > % of female employment | 29.1 % | [16th of 86] |
Employees, agriculture, male > % of male employment | 32.8 % | [17th of 86] |
Employees, industry, female > % of female employment | 6.7 % | [82nd of 86] |
Employees, industry, male > % of male employment | 17.2 % | [76th of 86] |
Employees, services, female > % of female employment | 63.3 % | [61st of 86] |
Employees, services, male > % of male employment | 49.4 % | [53rd of 86] |
Employment in agriculture > % of total employment | 31.1 % | [22nd of 94] |
Employment in industry > % of total employment | 12.2 % | [85th of 94] |
Employment in services > % of total employment | 56 % | [57th of 94] |
Female economic activity | 53.7% | [77th of 156] |
Female economic activity growth | 1% | [90th of 156] |
Firing cost > weeks of wages | 24.3 weeks of wages | [118th of 164] |
force participation rate, female > % of female population ages 15-64 | 48.37 % | [141st of 184] |
force participation rate, male > % of male population ages 15-64 | 64.49 % | [181st of 184] |
force participation rate, total > % of total population ages 15-64 | 56.31 % | [169th of 184] |
force with primary education > % of total | 37.2 % | [17th of 48] |
force with secondary education > % of total | 42.1 % | [26th of 51] |
force with tertiary education > % of total | 4.7 % | [50th of 52] |
force, female > % of total labor force | 43.63 % | [75th of 184] |
force, total | 647,487.8 | [142nd of 184] |
force, total (per capita) | 0.319 per capita | [177th of 184] |
Industrial workers > Female | 8% | [78th of 79] |
Industrial workers > Male | 19% | [75th of 79] |
Labor force | 660,000 | [107th of 132] |
Labor force (per capita) | 321,155.381 per million people | [102nd of 131] |
Labor force > By occupation agriculture 47%, industry 20%, services 33% |
||
Labor force > By occupation > Agriculture | 47% | [6th of 32] |
Labor force > By occupation > Industry | 20% | [10th of 29] |
Labor force > By occupation > Services | 33% | [13th of 29] |
Long-term unemployment > % of total unemployment | 56 % | [8th of 48] |
Long-term unemployment, female > % of female unemployment | 54.3 % | [11th of 46] |
Long-term unemployment, male > % of male unemployment | 57.6 % | [6th of 46] |
Minimum Age Convention, 1973 > Ratifications > Date | November 15, 2000 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [114th of 146] |
Parental leave > Paid maternity leave | 12 weeks | |
Regulation | 43 | [93rd of 123] |
Regulation > Employment Conditions | 57 | [91st of 123] |
Regulation > Firing | 54 | [24th of 123] |
Regulation > Hiring | 17 | [120th of 123] |
regulations > % of managers surveyed ranking this as a major business constraint | 4.4 % | [6th of 39] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | January 3, 1995 | |
Rigidity of employment index | 27 | [118th of 166] |
Service workers > Female | 52% | [70th of 79] |
Service workers > Male | 42% | [64th of 79] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 48.8 % | [24th of 174] |
skills > % of managers surveyed ranking this as a major business constraint | 9.43 % | [2nd of 38] |
Unemployment rate | 5.2% | [58th of 107] |
Unemployment, female > % of female labor force | 35.9 % | [1st of 95] |
Unemployment, male > % of male labor force | 26.8 % | [2nd of 95] |
Unemployment, total > % of total labor force | 31.1 % | [1st of 101] |
Unemployment, youth female > % of female labor force ages 15-24 | 49.3 % | [2nd of 77] |
Unemployment, youth male > % of male labor force ages 15-24 | 40.4 % | [4th of 77] |
Unemployment, youth total > % of total labor force ages 15-24 | 44.8 % | [2nd of 77] |
Workers' remittances and compensation of employees, paid > US$ | 17,000,000 $ | [112nd of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 2.775 $ per $1,000 of GDP | [88th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 8.369 $ per 1,000 people | [87th of 167] |
Workers' remittances and compensation of employees, received > US$ | 16,000,000 $ | [128th of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 2.612 $ per $1,000 of GDP | [128th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 7.877 $ per capita | [132nd of 167] |
Workers' remittances, receipts > BoP, current US$ | 5,913,845 BoP $ | [100th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 1.035 BoP $ per $1 million of | [87th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 2.943 BoP $ per 1,000 people | [95th of 143] |
SOURCES
ILO (International
Labour Organization). 2002.
Key Indicators of
the Labour Market 2001-2002. February 2002;
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
Namibia,
Republic of Namibia
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; CIA World Factbook, December 2003;
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;
UNICEF
ALTERNATIVE NAMES
Namibia,
Republic of Namibia
Mortality
Death rate, crude > per 1,000 people | 6.31 per 1,000 people | [130th of 195] |
rate, adult, female > per 1,000 female adults | 625.2 per 1,000 female adults | [9th of 185] |
rate, adult, male > per 1,000 male adults | 620 per 1,000 male adults | [9th of 185] |
rate, infant > per 1,000 live births | 46 per 1,000 live births | [67th of 187] |
rate, under-5 > per 1,000 | 62 per 1,000 | [65th of 187] |
SOURCES
World Development Indicators database
ALTERNATIVE NAMES
Namibia,
Republic of Namibia
Immigration
immigrant population > Immigrants as percentage of state population | 7.041 | [67th of 195] |
immigrant population > Number of immigrants | 143,000 | [106th of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.1% | |
International migration stock > % of population | 7.05 % | [77th of 205] |
International migration stock, total | 143,275.3 | [108th of 205] |
Net migration | -5,500 | [80th of 180] |
Net migration (per capita) | -2.708 per 1 million people | [92nd of 185] |
Net migration rate | 0.35 migrant(s)/1,000 populati | [70th of 225] |
Refugee population by country or territory of asylum | 5,307 | [74th of 151] |
Refugee population by country or territory of asylum (per capita) | 2,612.674 per 1 million people | [42nd of 162] |
Refugees | 3,500 | [76th of 110] |
Refugees (per capita) | 1.72329 per 1,000 people | [53rd of 110] |
Refugees > Convention on refugees | 17 Feb 1995 a | |
Refugees > Outflow | 2,000 | [58th of 76] |
Refugees > Outflow (per capita) | 0.984737 per 1,000 people | [30th of 76] |
Refugees and internally displaced persons > Refugees (country of origin) | 4,700 (Angola) | |
US visa lottery winners | 10 US visa lottery winners | [129th of 178] |
US visa lottery winners (per capita) | 4.92368 US visa lottery winners | [122nd 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; United Nations
World Statistics Pocketbook and
Statistical Yearbook; United Nations Treaty
Collection; UNHCR (United Nations High Commissioner for
Refugees). 2002. Correspondence on refugees and
internally displaced persons. February. Geneva.; US
Department of State: Bureau of Consular Affairs
ALTERNATIVE NAMES
Namibia,
Republic of Namibia
Other articles in this category |
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Namibia at a glance |
Geography |
History |
Culture |
Economy(1) |
Economy(2) |
Politics |
Military |