Geography
Category : Tanzania

1) Natural Geography

 

Area > A note
includes the islands of Mafia, Pemba, and Zanzibar
Area > Comparative
slightly larger than twice the size of California
Area > Comparative to US places
slightly larger than twice the size of California
Area > Land 886,037 sq km [32nd of 238]
Area > Land (per capita) 22.034 sq km per 1,000 people [73rd of 227]
Area > Note
includes the islands of Mafia, Pemba, and Zanzibar
Area > Total 945,087 sq km [37th of 250]
Area > Total (per capita) 23.502 sq km per 1,000 people [73rd of 231]
Area > Water 59,050 sq km [11th of 239]
Area > Water (per capita) 1,468.425 sq km per million people [30th of 225]
Capital city with population
Dar es Salaam (administrative) - 1,360,850; Dodoma (official) - 45,807
capitals and largest cities > Countries > Cities larger than the capital Dar es Salaam
Climate
varies from tropical along coast to temperate in highlands
Coastline 1,424 km [78th of 271]
Elevation extremes > Highest point Kilimanjaro 5,895 m
Elevation extremes > Lowest point Indian Ocean 0 m
Forested Land 43.9% [52nd of 193]
Geographic coordinates 6 00 S, 35 00 E
Geography > Note
Kilimanjaro is highest point in Africa; bordered by three of the largest lakes on the continent Lake Victoria (the world's second-largest freshwater lake) in the north, Lake Tanganyika (the world's second deepest) in the west, and Lake Nyasa in the southwest
Irrigated land 1,840 sq km [76th of 196]
Irrigated land (per capita) 50.341 sq km per million people [127th of 167]
Land area > sq. km 883,590 km² [31st of 206]
Land area > sq. km (per capita) 23.053 km² per 1,000 people [67th of 206]
land border lengths > T-V > Number of neighbours 8 [2nd of 16]
land border lengths > T-V > Total Borders 3,861 km [7th of 16]
Land boundaries > Border countries
Burundi 451 km, Democratic Republic of the Congo 459 km, Kenya 769 km, Malawi 475 km, Mozambique 756 km, Rwanda 217 km, Uganda 396 km, Zambia 338 km
Land boundaries > Total 3,861 km [48th of 166]
Land boundaries > Total (per capita) 96.013 km per million people [122nd of 164]
Land use > Arable land 4.23% [157th of 258]
Land use > Other 94.61% [80th of 258]
Land use > Permanent crops 1.16% [113rd of 258]
Largest city
Dar Es Salaam
Largest city population 1,747,000 [59th of 174]
Largest city population (per capita) 0.048 per capita [157th of 174]
Largest city with population Dar es Salaam - 1,360,850
Location
Eastern Africa, bordering the Indian Ocean, between Kenya and Mozambique
Map references
Africa
Maritime claims > Exclusive economic zone 200 nautical mile [88th of 123]
Maritime claims > Territorial sea 12 nautical mile [151st of 191]
Natural hazards
flooding on the central plateau during the rainy season; drought
Natural resources
hydropower, tin, phosphates, iron ore, coal, diamonds, gemstones, gold, natural gas, nickel
northernmost point > Latitude 00°59'S
Population density 35.29 people per sqkm [161st of 256]
Population density > people per sq. km 43.38 people/m² [138th of 204]
Precipitation 1,148 mm [26th of 95]
Rural population density > rural population per sq. km of arable land 706.63 people/km² of arable lan [32nd of 188]
Surface area > sq. km 945,090 km² [30th of 206]
Surface area > sq. km (per capita) 24.657 km² per 1,000 people [67th of 207]
tallest mountains > Mountain Kilimanjaro
Terrain
plains along coast; central plateau; highlands in north, south

SOURCES CIA World Factbook, December 2003; 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.; Wikipedia List of capitals and largest cities by country ; FAO; World Development Indicators database; Wikipedia List of land border lengths ; 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 Tanzania, United Republic of Tanzania, united rep. of tanzania, Tanzania, U. Rep. of



Environment

 

Acidification 0% [99th of 141]
Adjusted savings carbon dioxide damage > % of GNI 0.23 % of GNI [128th of 179]
Adjusted savings particulate emission damage > % of GNI 0.17 % of GNI [114th of 165]
Biodiversity richness 1 [45th of 53]
Breeding birds threatened 3.99% [48th of 136]
Carbon efficiency 0.39 CO2 emissions/$ GDP [115th of 141]
CFC consumption 1,125 [64th of 107]
    CFC consumption (per capita) 0.0305989 per 1,000 people [78th of 107]
CO2 Emissions 2,695.2 [118th of 178]
    CO2 Emissions (per capita) 0.0733069 per 1,000 people [163rd of 176]
CO2 emissions > kg per 2000 PPP $ of GDP 0.17 kg/PPP$ [131st of 170]
CO2 emissions > kt 3,802.19 kt [119th of 195]
    CO2 emissions > kt (per capita) 0.103 kt per 1,000 people [181st of 196]
CPIA policy and institutions for environmental sustainability rating 3.5 [16th of 75]

Current issues
soil degradation; deforestation; desertification; destruction of coral reefs threatens marine habitats; recent droughts affected marginal agriculture; wildlife threatened by illegal hunting and trade, especially for ivory

Ecological footprint 1.02 [110th of 141]
Endangered species protection 84.2% [47th of 141]
Fertiliser consumption 74.2 hundred grams/hectare [115th of 141]
Forest area > % of land area 39.9 % of land area [63rd of 195]
Forest area > sq. km 352,570 km² [18th of 195]
    Forest area > sq. km (per capita) 9,198.564 km² per 1,000 people [51st of 195]
Freshwater withdrawal 5.18 [50th of 124]
Freshwater withdrawal > Agricultural 89% [36th of 124]
Freshwater withdrawal > Domestic 10% [78th of 124]
Freshwater withdrawal > Industrial 0% [121st of 124]
Groundwater withdrawals 0 [144th of 188]

International agreements > Party to
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
Marine fish catch 47,020 tons [66th of 141]
    Marine fish catch (per capita) 1.2789 tons per 1,000 people [87th of 141]
Non-wildness 0.62% [114th of 141]
NOx emissions per populated area 0.19 thousand metric tons/squ [89th of 141]
Organic water pollutant (BOD) emissions > kg per day 35,155.38 kg/day [48th of 115]
Organic water pollutant (BOD) emissions > kg per day per worker 0.25 kg per day per worker [12th of 115]
PM10, country level > micrograms per cubic meter 28.33 mcg/m³ [123rd of 185]
Protected area 15.6 [21st of 147]
SO2 emissions per populated area 100 thousand metric tons/squ [125th of 141]
SO2 exports 432.75 hundred metric tons [111st of 141]
Threatened species > Mammal 33 [19th of 160]
Total renewable water resources 91 cu km [4th of 31]
Urban NO2 concentration 15.78 micrograms/m3 [135th of 141]
Urban SO2 concentration 48.97 micrograms/m3 [67th of 141]
Water > Availability 3.64 thousand cubic metres [60th of 141]
Water > Dissolved oxygen concentration 6.87 mls/litre [90th of 141]
Water > Phosphorus concentration 0.32 mls/litre [78th of 141]
Water > Salinisation 363.21 [102nd of 141]
Water > Severe water stress 0 [115th of 140]
Water > Suspended solids 4.52 mls/litre [85th of 141]
Water pollution, chemical industry > % of total BOD emissions 2.71 % [68th of 114]
Water pollution, clay and glass industry > % of total BOD emissions 0.1 % [66th of 112]
Water pollution, food industry > % of total BOD emissions 69.35 % [12th of 114]
Water pollution, metal industry > % of total BOD emissions 1.53 % [57th of 94]
Water pollution, other industry > % of total BOD emissions 1.4 % [57th of 107]
Water pollution, paper and pulp industry > % of total BOD emissions 9.38 % [55th of 111]
Water pollution, textile industry > % of total BOD emissions 14.02 % [23rd of 114]
Water pollution, wood industry > % of total BOD emissions 1.52 % [51st of 114]
Wildness 9.3% [64th 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; ; 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; 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; 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 Tanzania, United Republic of Tanzania, united rep. of tanzania, Tanzania, U. Rep. of


2) Human Geography


Age distribution


Tanzania Population Pyramid for 1990

Age and sex distribution for the year 1990

 

Tanzania Population Pyramid for 1995

Age and sex distribution for the year 1995

 

Tanzania Population Pyramid for 2000

Age and sex distribution for the year 2000

 

Tanzania Population Pyramid for 2003

Age and sex distribution for the year 2003

 

Tanzania Population Pyramid for 2005

Age and sex distribution for the year 2005

 

Tanzania Population Pyramid for 2010

Age and sex distribution for the year 2010

 

Tanzania Population Pyramid for 2020

Predicted age and sex distribution for the year 2020

 

Tanzania Population Pyramid for 2050

Predicted age and sex distribution for the year 2050

Source

US Census Bureau July 17, 2003


Labor

 
Child employment in agriculture > % of economically active children ages 7-14 78.46 % [5th of 11]
Child employment in agriculture, female > % of female economically active children ages 7-14 73.12 % [6th of 11]
Child employment in agriculture, male > % of male economically active children ages 7-14 83.46 % [5th of 11]
Child employment in manufacturing > % of economically active children ages 7-14 0.15 % [10th of 10]
Child employment in manufacturing, female > % of female economically active children ages 7-14 0.2 % [10th of 10]
Child employment in manufacturing, male > % of male economically active children ages 7-14 0.11 % [10th of 10]
Child employment in services > % of economically active children ages 7-14 21.31 % [6th of 11]
Child employment in services, female > % of female economically active children ages 7-14 26.67 % [5th of 11]
Child employment in services, male > % of male economically active children ages 7-14 16.29 % [6th of 11]
CPIA building human resources rating 4 [13th of 75]
Economic activity > Both sexes aged 10-14 36.9 [12th of 89]
Economic activity > Both sexes aged 15-19 69.83 [7th of 167]
Economic activity > Both sexes aged 20-24 81.49 [25th of 166]
Economic activity > Both sexes aged 25-29 90.06 [26th of 167]
Economic activity > Both sexes aged 30-34 92.51 [26th of 165]
Economic activity > Both sexes aged 35-39 93.72 [21st of 166]
Economic activity > Both sexes aged 40-44 94.32 [17th of 167]
Economic activity > Both sexes aged 45-49 94.42 [5th of 163]
Economic activity > Both sexes aged 50-54 93.09 [3rd of 166]
Economic activity > Both sexes aged 55-59 91.88 [3rd of 166]
Economic activity > Both sexes aged 60-64 87.15 [2nd of 166]
Economic activity > Both sexes aged 65 plus 69.89 [5th of 165]
Economic activity > Men aged 10-14 37.33 [16th of 92]
Economic activity > Men aged 15-19 67.92 [13th of 164]
Economic activity > Men aged 20-24 83.01 [90th of 166]
Economic activity > Men aged 25-29 95.59 [72nd of 165]
Economic activity > Men aged 30-34 97.34 [76th of 165]
Economic activity > Men aged 35-39 98.24 [29th of 164]
Economic activity > Men aged 40-44 98.34 [12th of 163]
Economic activity > Men aged 45-49 98.62 [4th of 167]
Economic activity > Men aged 50-54 97.8 [4th of 165]
Economic activity > Men aged 55-59 97.65 [3rd of 167]
Economic activity > Men aged 60-64 94.32 [2nd of 165]
Economic activity > Men aged 65 plus 82.15 [3rd of 162]
Economic activity > Women aged 10-14 36.46 [11th of 89]
Economic activity > Women aged 15-19 71.74 [4th of 164]
Economic activity > Women aged 20-24 79.98 [19th of 166]
Economic activity > Women aged 25-29 84.76 [27th of 165]
Economic activity > Women aged 30-34 87.84 [28th of 167]
Economic activity > Women aged 35-39 89.33 [25th of 165]
Economic activity > Women aged 40-44 90.46 [22nd of 165]
Economic activity > Women aged 45-49 90.46 [16th of 161]
Economic activity > Women aged 50-54 88.69 [6th of 166]
Economic activity > Women aged 55-59 86.6 [3rd of 167]
Economic activity > Women aged 60-64 80.77 [3rd of 165]
Economic activity > Women aged 65 plus 59.9 [5th of 167]
Economically active children, female 39.22 % [3rd of 34]
Economically active children, male 41.47 % [3rd of 34]
Economically active children, study and work 60.02 % [10th of 34]
Economically active children, study and work, female 62.93 % [9th of 34]
Economically active children, study and work, male 57.3 % [9th of 34]
Economically active children, total 40.35 % [3rd of 34]
Economically active children, work only 39.98 % [5th of 34]
Economically active children, work only, female 37.07 % [5th of 33]
Economically active children, work only, male 42.7 % [5th of 34]
Employees, agriculture, female > % of female employment 84 % [1st of 86]
Employees, agriculture, male > % of male employment 80.2 % [1st of 86]
Employees, industry, female > % of female employment 1.2 % [85th of 86]
Employees, industry, male > % of male employment 4 % [86th of 86]
Employees, services, female > % of female employment 14.8 % [86th of 86]
Employees, services, male > % of male employment 15.7 % [86th of 86]
Employment in agriculture > % of total employment 82.1 % [1st of 94]
Employment in industry > % of total employment 2.6 % [94th of 94]
Employment in services > % of total employment 15.3 % [93rd of 94]
Firing cost > weeks of wages 32 weeks of wages [97th of 164]
force participation rate, female > % of female population ages 15-64 88.24 % [2nd of 184]
force participation rate, male > % of male population ages 15-64 90.66 % [12th of 184]
force participation rate, total > % of total population ages 15-64 89.45 % [2nd of 184]
force with primary education > % of total 43.2 % [8th of 48]
force, female > % of total labor force 49.42 % [8th of 184]
force, total 19,339,900 [30th of 184]
force, total (per capita) 0.505 per capita [35th of 184]
Labor force 20,040,000 [27th of 132]
Labor force (per capita) 508,833.194 per million people [37th of 131]
Labor force > By occupation
 agriculture 80%, industry and services 20%
Labor force > By occupation > Agriculture 80% [2nd of 32]
Labor force > By occupation > Industry and services 20% [14th of 22]
Minimum Age Convention, 1973 > Ratifications > Date December 16, 1998
Minimum Age Convention, 1973 > Ratifications > Minimum age 14 [131st of 146]
Parental leave > Paid maternity leave 12 weeks
Regulation 61 [29th of 123]
Regulation > Employment Conditions 77 [57th of 123]
Regulation > Firing 49 [34th of 123]
Regulation > Hiring 57 [47th of 123]
Right to Organise and Collective Bargaining Convention > Ratifications > Date January 30, 1962
Rigidity of employment index 67 [8th of 166]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 45.4 % [59th of 174]
skills > % of managers surveyed ranking this as a major business constraint 1.43 % [18th of 38]
Unemployment, female > % of female labor force 5.8 % [69th of 95]
Unemployment, male > % of male labor force 4.4 % [74th of 95]
Unemployment, total > % of total labor force 5.1 % [74th of 101]
Workers' remittances and compensation of employees, paid > US$ 41,000,000 $ [87th of 149]
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 3.385 $ per $1,000 of GDP [80th of 166]
Workers' remittances and compensation of employees, paid > US$ (per capita) 1.07 $ per 1,000 people [126th of 167]
Workers' remittances and compensation of employees, received > US$ 16,000,000 $ [129th of 156]
Workers' remittances and compensation of employees, received > US$ (per $ GDP) 1.321 $ per $1,000 of GDP [140th of 165]
Workers' remittances and compensation of employees, received > US$ (per capita) 0.417 $ per capita [152nd of 167]
Workers' remittances, receipts > BoP, current US$ 6,720,000 BoP $ [85th of 115]
Workers' remittances, receipts > BoP, current US$ (per $ GDP) 0.555 BoP $ per $1 million of [78th of 142]
Workers' remittances, receipts > BoP, current US$ (per capita) 0.175 BoP $ per 1,000 people [98th 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; 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 Tanzania, United Republic of Tanzania, united rep. of tanzania, Tanzania, U. Rep. of


Lifestyle

 
Life satisfaction 3.2 [69th of 69]
Life satisfaction inequality 3.6 [2nd of 87]
Political orientation > Far left 12.2% [4th of 61]
Political orientation > Far right 28.9% [3rd 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 Tanzania, United Republic of Tanzania, united rep. of tanzania, Tanzania, U. Rep. of

People

African countries by population density > area 945,087 [13th of 56]
African countries by population density > pop. dens. 39 [28th of 56]
African countries by population density > population 37,187,939 [6th of 56]
Age dependency ratio > dependents to working-age population 0.85 [30th of 185]
Age structure > 0-14 years 43.7 % [26th of 225]
Age structure > 0-14 years 44 [23rd of 226]
Age structure > 0-14 years > Females 8,719,198 [17th of 225]
Age structure > 0-14 years > From total 43.5% [28th of 227]
Age structure > 0-14 years > Males 8,763,471 [19th of 225]
Age structure > 15-64 years 53.4 [201st of 226]
Age structure > 15-64 years 53.6 % [198th of 225]
Age structure > 15-64 years > Females 10,947,190 [37th of 225]
Age structure > 15-64 years > From total 53.7% [192nd of 227]
Age structure > 15-64 years > Males 10,638,666 [37th of 225]
Age structure > 65 years and over 2.6 % [206th of 225]
Age structure > 65 years and over > Females 642,269 [59th of 225]
Age structure > 65 years and over > From total 2.8% [194th of 227]
Age structure > 65 years and over > Males 502,368 [58th of 225]
Birth rate 35.12 births/1,000 population [40th of 226]
Chinese population 600 [83rd of 127]
Chinese population (per capita) 1.632 per 100,000 people [103rd of 126]
CPIA social protection rating 3.5 [18th of 75]
Death rate 12.92 deaths/1,000 population [33rd of 226]
Education expenditures 2.2 % of GDP [9th of 55]

Ethnic groups
mainland - African 99% (of which 95% are Bantu consisting of more than 130 tribes), other 1% (consisting of Asian, European, and Arab); Zanzibar - Arab, African, mixed Arab and African

Female population > Age 10-14 2,443,107 [21st of 224]
Female population > Age 10-14 > % of the total 6.52 [12th of 224]
Female population > Age 15-19 2,148,081 [24th of 224]
Female population > Age 15-19 > % of the total 5.74 [22nd of 224]
Female population > Age 20-24 1,858,833 [28th of 224]
Female population > Age 20-24 > % of the total 4.96 [41st of 224]
Female population > Age 25-29 1,571,045 [32nd of 224]
Female population > Age 25-29 > % of the total 4.2 [52nd of 224]
Female population > Age 30-34 1,171,632 [35th of 224]
Female population > Age 30-34 > % of the total 3.13 [163rd of 224]
Female population > Age 35-39 839,600 [43rd of 224]
Female population > Age 35-39 > % of the total 2.24 [207th of 224]
Female population > Age 40-44 670,133 [45th of 224]
Female population > Age 40-44 > % of the total 1.79 [215th of 224]
Female population > Age 45-49 624,177 [45th of 224]
Female population > Age 45-49 > % of the total 1.67 [200th of 224]
Female population > Age 50-54 542,987 [45th of 224]
Female population > Age 50-54 > % of the total 1.45 [187th of 224]
Female population > Age 55-59 432,589 [45th of 224]
Female population > Age 55-59 > % of the total 1.16 [185th of 224]
Female population > Age 60-64 318,989 [46th of 224]
Female population > Age 60-64 > % of the total 0.85 [186th of 224]
Female population > Age 65-69 236,984 [55th of 224]
Female population > Age 65-69 > % of the total 0.63 [198th of 224]
Female population > Age 70-74 162,726 [57th of 224]
Female population > Age 70-74 > % of the total 0.43 [201st of 224]
Female population > Age 75-79 93,268 [64th of 224]
Female population > Age 75-79 > % of the total 0.25 [200th of 224]
Female population > Age 80-84 64,146 [69th of 224]
Female population > Age 80-84 > % of the total 0.17 [199th of 224]
Greek diaspora > Number of Greeks in all countries > Capital Dodoma
Greek diaspora > Number of Greeks in all countries > Number of ethnic Greeks
300 (est.)
Male population > Age 10-14 2,444,083 [21st of 224]
Male population > Age 10-14 > % of the total 6.53 [20th of 224]
Male population > Age 15-19 2,148,206 [24th of 224]
Male population > Age 15-19 > % of the total 5.74 [36th of 224]
Male population > Age 20-24 1,861,889 [30th of 224]
Male population > Age 20-24 > % of the total 4.97 [54th of 224]
Male population > Age 25-29 1,595,210 [36th of 224]
Male population > Age 25-29 > % of the total 4.26 [62nd of 224]
Male population > Age 30-34 1,239,714 [36th of 224]
Male population > Age 30-34 > % of the total 3.31 [159th of 224]
Male population > Age 35-39 911,122 [41st of 224]
Male population > Age 35-39 > % of the total 2.43 [207th of 224]
Male population > Age 40-44 681,855 [45th of 224]
Male population > Age 40-44 > % of the total 1.82 [209th of 224]
Male population > Age 45-49 516,087 [50th of 224]
Male population > Age 45-49 > % of the total 1.38 [210th of 224]
Male population > Age 50-54 387,575 [50th of 224]
Male population > Age 50-54 > % of the total 1.04 [209th of 224]
Male population > Age 55-59 313,695 [52nd of 224]
Male population > Age 55-59 > % of the total 0.84 [203rd of 224]
Male population > Age 60-64 251,093 [52nd of 224]
Male population > Age 60-64 > % of the total 0.67 [194th of 224]
Male population > Age 65-69 183,182 [59th of 224]
Male population > Age 65-69 > % of the total 0.49 [204th of 224]
Male population > Age 70-74 121,782 [60th of 224]
Male population > Age 70-74 > % of the total 0.33 [207th of 224]
Male population > Age 75-79 69,941 [64th of 224]
Male population > Age 75-79 > % of the total 0.19 [204th of 224]
Male population > Age 80-84 47,769 [65th of 224]
Male population > Age 80-84 > % of the total 0.13 [197th of 224]
Median age > Female 18.1 years [195th of 224]
Median age > Male 17.6 years [199th of 224]
Median age > Total 17.8 years [198th of 224]
Nationality > Adjective Tanzanian
Nationality > Noun Tanzanian(s)
Percentage living in rural areas. 65% [46th of 193]
Percentage living in urban areas 35% [159th of 199]
Population 40,213,160 [32nd of 242]
Population > CIA Factbook 40,213,160 [32nd of 240]

Population > Note
estimates for this country explicitly take into account the effects of excess mortality due to AIDS; this can result in lower life expectancy, higher infant mortality and death rates, lower population and growth rates, and changes in the distribution of population by age and sex than would otherwise be expected (July 2007 est.)

Population ages 0-14 > % of total 42.6 % [31st of 185]
Population ages 15-64 > % of total 54.17 % [154th of 185]
Population ages 65 and above > % of total 3.23 % [145th of 185]
Population growth > annual % 1.85 annual % [63rd of 195]
Population growth rate 2.072% [60th of 235]
Population in 2015 45,598 [28th of 225]
Population in largest city 2,676,180 [50th of 118]
Population in largest city (per capita) 0.07 per capita [100th of 118]
Population in the largest city > % of urban population 28.85 % [58th of 118]
Population in urban agglomerations > more than 1 million 2,676,180 [57th of 106]
Population in urban agglomerations > more than 1 million (per capita) 0.07 per capita [99th of 106]
Population, female > % of total 50.2 % [113rd of 190]
Projected population growth 143.65% [21st of 141]
Rights of the Child Convention > Ratification Dates 10 Jun 1991
Rights of the Child Convention > Signatories 1 Jun 1990
Rural population 29,053,240 [18th of 193]
Rural population (per capita) 0.758 per capita [24th of 194]
Rural population growth > annual % 1.35 annual % [56th of 193]
Sex ratio > 15-64 years 0.97 [164th of 223]
Sex ratio > 15-64 years 0.97 male(s)/female [168th of 224]
Sex ratio > 65 years and over 0.78 male(s)/female [113rd of 223]
Sex ratio > At birth 1.03 male(s)/female [196th of 223]
Sex ratio > sex ratios > 15–65 0.97 [160th of 215]
Sex ratio > sex ratios > at birth 1.03 [164th of 215]
Sex ratio > sex ratios > over 65 0.76 [121st of 215]
Sex ratio > sex ratios > total 0.98 [129th of 215]
Sex ratio > sex ratios > under 15 1 [209th of 215]
Sex ratio > Total population 0.98 male(s)/female [135th of 224]
Sex ratio > Under 15 years 1 male(s)/female [216th of 224]
Total fertility rate 4.62 children born/woman [40th of 225]
Total Population 37,445,392 [33rd of 227]
Total population > Age 10-14 4,887,190 [21st of 224]
Total population > Age 10-14 > % of the total 13.05 [14th of 224]
Total population > Age 15-19 4,296,287 [24th of 224]
Total population > Age 15-19 > % of the total 11.47 [30th of 224]
Total population > Age 20-24 3,720,722 [29th of 224]
Total population > Age 20-24 > % of the total 9.94 [44th of 224]
Total population > Age 25-29 3,166,255 [33rd of 224]
Total population > Age 25-29 > % of the total 8.46 [55th of 224]
Total population > Age 30-34 2,411,346 [36th of 224]
Total population > Age 30-34 > % of the total 6.44 [164th of 224]
Total population > Age 35-39 1,750,722 [42nd of 224]
Total population > Age 35-39 > % of the total 4.68 [208th of 224]
Total population > Age 40-44 1,351,988 [45th of 224]
Total population > Age 40-44 > % of the total 3.61 [211st of 224]
Total population > Age 45-49 1,140,264 [46th of 224]
Total population > Age 45-49 > % of the total 3.05 [208th of 224]
Total population > Age 50-54 930,562 [46th of 224]
Total population > Age 50-54 > % of the total 2.49 [205th of 224]
Total population > Age 55-59 746,284 [47th of 224]
Total population > Age 55-59 > % of the total 1.99 [198th of 224]
Total population > Age 60-64 570,082 [49th of 224]
Total population > Age 60-64 > % of the total 1.52 [196th of 224]
Total population > Age 65-69 420,166 [58th of 224]
Total population > Age 65-69 > % of the total 1.12 [205th of 224]
Total population > Age 70-74 284,508 [59th of 224]
Total population > Age 70-74 > % of the total 0.76 [205th of 224]
Total population > Age 75-79 163,209 [64th of 224]
Total population > Age 75-79 > % of the total 0.44 [206th of 224]
Total population > Age 80-84 111,915 [67th of 224]
Total population > Age 80-84 > % of the total 0.3 [196th of 224]
Total Population > Female 18,911,679 [33rd of 227]
Total Population > Male 18,533,713 [33rd of 227]
Urban population 9,275,572 [50th of 195]
Urban population (per capita) 0.242 per capita [171st of 196]
Urban population growth > annual % 3.43 annual % [43rd of 195]
Urbanization

33

[165th of 204]

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; University Libraries, Ohio University; U.S. Census Bureau, Population Division, International Programs Center ; Wikipedia Greek diaspora ; 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)

ALTERNATIVE NAMES Tanzania, United Republic of Tanzania, united rep. of tanzania, Tanzania, U. Rep. of


Mortality

 
Death rate, crude > per 1,000 people 16.43 per 1,000 people [27th of 195]
rate, adult, female > per 1,000 female adults 511.06 per 1,000 female adults [13th of 185]
rate, adult, male > per 1,000 male adults 506.64 per 1,000 male adults [15th of 185]
rate, infant > per 1,000 live births 76 per 1,000 live births [39th of 187]
rate, under-5 > per 1,000 122 per 1,000 [32nd of 187]

SOURCES World Development Indicators database

ALTERNATIVE NAMES Tanzania, United Republic of Tanzania, united rep. of tanzania, Tanzania, U. Rep. of


Immigration

 
immigrant population > Immigrants as percentage of state population 2.066 [122nd of 195]
immigrant population > Number of immigrants 792,000 [42nd of 195]
immigrant population > Percentage of total number of immigrants in the world >0.5%
International migration stock > % of population 2.07 % [132nd of 205]
International migration stock, total 792,328 [42nd of 205]
Net migration -345,000 [160th of 180]
Net migration (per capita) -9.001 per 1 million people [121st of 185]
Net migration rate -1.48 migrant(s)/1,000 populati [127th of 225]
Refugee population by country or territory of asylum 548,824 [4th of 151]
Refugee population by country or territory of asylum (per capita) 14,318.837 per 1 million people [5th of 162]
Refugees > Convention on refugees 12 May 1964 a
Refugees > US applications 15 [36th of 64]
Refugees > US applications (per capita) 0.000407986 per 1,000 people [46th of 63]
Refugees and internally displaced persons > Refugees (country of origin)
 352,640 (Burundi); 127,973 (Democratic Republic of the Congo)
US visa lottery winners 329 US visa lottery winners [49th of 178]
US visa lottery winners (per capita) 8.94849 US visa lottery winners [106th 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 Treaty Collection; United States Citizenship and Immigration Services; US Department of State Bureau of Consular Affairs

ALTERNATIVE NAMES Tanzania, United Republic of Tanzania, united rep. of tanzania, Tanzania, U. Rep. of