1) Natural Geography
Geography
Area >
Comparative slightly smaller than West Virginia |
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Area > Comparative to US places slightly smaller than West Virginia |
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Area > Land | 54,385 sq km | [124th of 238] |
Area > Land (per capita) | 9.283 sq km per 1,000 people | [136th of 227] |
Area > Total | 56,785 sq km | [130th of 250] |
Area > Total (per capita) | 9.692 sq km per 1,000 people | [137th of 231] |
Area > Water | 2,400 sq km | [77th of 239] |
Area > Water (per capita) | 409.649 sq km per million people | [57th of 225] |
Capital city with population | Lome - 366,476 | |
Climate tropical; hot, humid in south; semiarid in north |
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Coastline | 56 km | [195th of 271] |
Elevation extremes > Highest point | Mont Agou 986 m | |
Elevation extremes > Lowest point | Atlantic Ocean 0 m | |
Forested Land | 9.4% | [151st of 193] |
Geographic coordinates | 8 00 N, 1 10 E | |
Geography >
Note the country's length allows it to stretch through six distinct geographic regions; climate varies from tropical to savanna |
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Irrigated land | 70 sq km | [142nd of 196] |
Irrigated land (per capita) | 11.995 sq km per million people | [158th of 167] |
Land area > sq. km | 54,390 km² | [124th of 206] |
Land area > sq. km (per capita) | 8.851 km² per 1,000 people | [127th of 206] |
land border lengths > T-V > Number of neighbours | 3 | [10th of 16] |
land border lengths > T-V > Total Borders | 1,647 km | [12th of 16] |
Land
boundaries > Border countries Benin 644 km, Burkina Faso 126 km, Ghana 877 km |
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Land boundaries > Total | 1,647 km | [98th of 166] |
Land boundaries > Total (per capita) | 281.122 km per million people | [60th of 164] |
Land use > Arable land | 44.2% | [10th of 258] |
Land use > Other | 53.69% | [227th of 258] |
Land use > Permanent crops | 2.11% | [85th of 258] |
Largest city | Lome | |
Largest city population | 662,000 | [106th of 174] |
Largest city population (per capita) | 0.123 per capita | [100th of 174] |
Largest city with population | Lome - 366,476 | |
Location Western Africa, bordering the Bight of Benin, between Benin and Ghana |
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Map
references Africa |
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Maritime claims > Exclusive economic zone | 200 nautical mile | [56th of 123] |
Maritime claims > Territorial sea | 30 nautical mile | [7th of 191] |
Natural
hazards hot, dry harmattan wind can reduce visibility in north during winter; periodic droughts |
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Natural
resources phosphates, limestone, marble, arable land |
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northernmost point > Latitude | 11°08'N | |
Population density | 93.43 people per sqkm | [103rd of 256] |
Population density > people per sq. km | 112.98 people/m² | [78th of 204] |
Precipitation | 878 mm | [39th of 95] |
Rural population density > rural population per sq. km of arable land | 142.52 people/km² of arable lan | [132nd of 188] |
Surface area > sq. km | 56,790 km² | [123rd of 206] |
Surface area > sq. km (per capita) | 9.242 km² per 1,000 people | [124th of 207] |
tallest mountains > Mountain | Mont Agou | |
Terrain gently rolling savanna in north; central hills; southern plateau; low coastal plain with extensive lagoons and marshes |
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 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 Togo, Togolese Republic, Republique TogolaiseAcidification | 0% | [67th of 141] |
Adjusted savings carbon dioxide damage > % of GNI | 0.57 % of GNI | [58th of 179] |
Adjusted savings net forest depletion > % of GNI | 2.83 % of GNI | [6th of 57] |
Adjusted savings particulate emission damage > % of GNI | 0.27 % of GNI | [100th of 165] |
Areas under protection | 9 | [116th of 146] |
Areas under protection (per capita) | 1.66667 per 1 million people | [94th of 146] |
Breeding birds threatened | 0% | [134th of 136] |
Carbon efficiency | 0.39 CO2 emissions/$ GDP | [114th of 141] |
CO2 Emissions | 1,608.9 | [129th of 178] |
CO2 Emissions (per capita) | 0.297944 per 1,000 people | [140th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.27 kg/PPP$ | [99th of 170] |
CO2 emissions > kt | 2,194.14 kt | [132nd of 195] |
CO2 emissions > kt (per capita) | 0.376 kt per 1,000 people | [154th of 196] |
CPIA policy and institutions for environmental sustainability rating | 2.5 | [67th of 75] |
Current
issues deforestation attributable to slash-and-burn agriculture and the use of wood for fuel; water pollution presents health hazards and hinders the fishing industry; air pollution increasing in urban areas |
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Ecological footprint | 0.82 | [131st of 141] |
Endangered species protection | 75% | [60th of 141] |
Fertiliser consumption | 78.18 hundred grams/hectare | [112nd of 141] |
Forest area > % of land area | 7.1 % of land area | [159th of 195] |
Forest area > sq. km | 3,860 km² | [141st of 195] |
Forest area > sq. km (per capita) | 628.153 km² per 1,000 people | [161st of 195] |
Freshwater withdrawal | 0.17 | [110th of 124] |
Freshwater withdrawal > Agricultural | 45% | [105th of 124] |
Freshwater withdrawal > Domestic | 53% | [9th of 124] |
Freshwater withdrawal > Industrial | 2% | [92nd of 124] |
Groundwater withdrawals | 0 | [117th of 188] |
International agreements > Party to Biodiversity, Climate Change, Climate Change-Kyoto Protocol, Desertification, Endangered Species, Law of the Sea, Ozone Layer Protection, Ship Pollution, Tropical Timber 83, Tropical Timber 94, Wetlands, Whaling |
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International agreements > Signed but not ratified none of the selected agreements |
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Known breeding bird species | 117 | [131st of 146] |
Known breeding bird species (per capita) | 21.6667 per 1 million people | [68th of 146] |
Known mammal species | 196 | [39th of 145] |
Known mammal species (per capita) | 36.2963 per 1 million people | [25th of 145] |
Marine fish catch | 17,801 tons | [82nd of 141] |
Marine fish catch (per capita) | 3.29648 tons per 1,000 people | [69th of 141] |
Non-wildness | 1.99% | [83rd of 141] |
NOx emissions per populated area | 0.19 thousand metric tons/squ | [87th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 963.54 kg/day | [98th of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.22 kg per day per worker | [34th of 115] |
PM10, country level > micrograms per cubic meter | 43.37 mcg/m³ | [80th of 185] |
Pollution > Carbon dioxide 1999 | 362 | [141st of 199] |
Protected area | 7.9 | [51st of 147] |
SO2 emissions per populated area | 70 thousand metric tons/squ | [133rd of 141] |
SO2 exports | 846.8 hundred metric tons | [91st of 141] |
Threatened species > Mammal | 8 | [99th of 160] |
Total renewable water resources | 14.7 cu km | [13th of 31] |
Urban NO2 concentration | 67.58 micrograms/m3 | [26th of 141] |
Urban SO2 concentration | 112.4 micrograms/m3 | [18th of 141] |
Water > Availability | 2.71 thousand cubic metres | [72nd of 141] |
Water > Dissolved oxygen concentration | 7.28 mls/litre | [82nd of 141] |
Water > Phosphorus concentration | 0.33 mls/litre | [76th of 141] |
Water > Salinisation | 136.55 | [130th of 141] |
Water > Severe water stress | 0 | [100th of 140] |
Water > Suspended solids | 5.92 mls/litre | [40th of 141] |
Water pollution, chemical industry > % of total BOD emissions | 2.35 % | [89th of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.15 % | [65th of 112] |
Water pollution, food industry > % of total BOD emissions | 44.96 % | [69th of 114] |
Water pollution, metal industry > % of total BOD emissions | 4.4 % | [48th of 94] |
Water pollution, other industry > % of total BOD emissions | 0.02 % | [99th of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 22.11 % | [9th of 111] |
Water pollution, textile industry > % of total BOD emissions | 24.11 % | [14th of 114] |
Water pollution, wood industry > % of total BOD emissions | 1.91 % | [49th of 114] |
Wetlands of intl importance > Area | 194 thousand hectares | [50th of 112] |
Wetlands of intl importance > Area (per capita) | 35.9259 thousand hectares per 1 m | [28th of 112] |
Wildness | 0% | [124th 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; 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; 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 Togo, Togolese Republic, Republique Togolaise
Compensation of employees > % of expense | 30.77 % | [20th of 97] |
Compensation of employees > current LCU | 55080000000 | |
CPIA building human resources rating | 3 | [60th of 75] |
Economic activity > Both sexes aged 10-14 | 26.82 | [28th of 89] |
Economic activity > Both sexes aged 15-19 | 52.94 | [41st of 167] |
Economic activity > Both sexes aged 20-24 | 71.43 | [97th of 166] |
Economic activity > Both sexes aged 25-29 | 75.94 | [122nd of 167] |
Economic activity > Both sexes aged 30-34 | 78.52 | [110th of 165] |
Economic activity > Both sexes aged 35-39 | 79.48 | [107th of 166] |
Economic activity > Both sexes aged 40-44 | 78.58 | [108th of 167] |
Economic activity > Both sexes aged 45-49 | 78.11 | [101st of 163] |
Economic activity > Both sexes aged 50-54 | 75.9 | [85th of 166] |
Economic activity > Both sexes aged 55-59 | 72.64 | [52nd of 166] |
Economic activity > Both sexes aged 60-64 | 65.99 | [33rd of 166] |
Economic activity > Both sexes aged 65 plus | 49.72 | [23rd of 165] |
Economic activity > Men aged 10-14 | 26.53 | [33rd of 92] |
Economic activity > Men aged 15-19 | 61.28 | [30th of 164] |
Economic activity > Men aged 20-24 | 89.52 | [24th of 166] |
Economic activity > Men aged 25-29 | 95.79 | [66th of 165] |
Economic activity > Men aged 30-34 | 97.29 | [79th of 165] |
Economic activity > Men aged 35-39 | 97.68 | [75th of 164] |
Economic activity > Men aged 40-44 | 97.31 | [63rd of 163] |
Economic activity > Men aged 45-49 | 96.97 | [51st of 167] |
Economic activity > Men aged 50-54 | 92.94 | [84th of 165] |
Economic activity > Men aged 55-59 | 90.41 | [61st of 167] |
Economic activity > Men aged 60-64 | 86.99 | [31st of 165] |
Economic activity > Men aged 65 plus | 70.92 | [20th of 162] |
Economic activity > Women aged 10-14 | 27.12 | [21st of 89] |
Economic activity > Women aged 15-19 | 44.61 | [47th of 164] |
Economic activity > Women aged 20-24 | 53.47 | [118th of 166] |
Economic activity > Women aged 25-29 | 56.26 | [116th of 165] |
Economic activity > Women aged 30-34 | 60.08 | [108th of 167] |
Economic activity > Women aged 35-39 | 61.75 | [105th of 165] |
Economic activity > Women aged 40-44 | 60.6 | [102nd of 165] |
Economic activity > Women aged 45-49 | 60.31 | [98th of 161] |
Economic activity > Women aged 50-54 | 60.14 | [83rd of 166] |
Economic activity > Women aged 55-59 | 56.4 | [52nd of 167] |
Economic activity > Women aged 60-64 | 47.53 | [39th of 165] |
Economic activity > Women aged 65 plus | 32.42 | [30th of 167] |
Economically active children, female | 71.6 % | [2nd of 34] |
Economically active children, male | 73.4 % | [2nd of 34] |
Economically active children, study and work | 71.59 % | [17th of 34] |
Economically active children, study and work, female | 65.64 % | [18th of 34] |
Economically active children, study and work, male | 77.38 % | [13th of 34] |
Economically active children, total | 72.5 % | [2nd of 34] |
Economically active children, work only | 28.41 % | [18th of 34] |
Economically active children, work only, female | 34.36 % | [17th of 33] |
Economically active children, work only, male | 22.62 % | [22nd of 34] |
Female economic activity | 53.4% | [78th of 156] |
Female economic activity growth | 1% | [91st of 156] |
Firing cost > weeks of wages | 35.8 weeks of wages | [86th of 164] |
force participation rate, female > % of female population ages 15-64 | 51.72 % | [125th of 184] |
force participation rate, male > % of male population ages 15-64 | 90.38 % | [16th of 184] |
force participation rate, total > % of total population ages 15-64 | 70.75 % | [80th of 184] |
force, female > % of total labor force | 36.91 % | [140th of 184] |
force, total | 2,417,155 | [104th of 184] |
force, total (per capita) | 0.393 per capita | [147th of 184] |
Labor force | 1,302,000 | [8th of 132] |
Labor force (per capita) | 259,818.889 per million people | [12th of 131] |
Labor
force > By occupation agriculture 65%, industry 5%, services 30% |
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Labor force > By occupation > Agriculture | 65% | [2nd of 32] |
Labor force > By occupation > Industry | 5% | [6th of 29] |
Labor force > By occupation > Services | 30% | [5th of 29] |
Minimum Age Convention, 1973 > Ratifications > Date | March 16, 1984 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [133rd of 146] |
Parental leave > Paid maternity leave | 14 weeks | |
Parental leave > Paid paternity leave Up to ten days of paid leave for "family events directly related to home" |
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Regulation | 57 | [48th of 123] |
Regulation > Employment Conditions | 80 | [51st of 123] |
Regulation > Firing | 36 | [61st of 123] |
Regulation > Hiring | 53 | [55th of 123] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | November 8, 1983 | |
Rigidity of employment index | 58 | [25th of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 41 % | [66th of 174] |
Technicians in R&D > per million people | 65.41 per million people | [8th of 49] |
Workers' remittances and compensation of employees, paid > US$ | 34,000,000 $ | [97th of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 15.435 $ per $1,000 of GDP | [32nd of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 5.533 $ per 1,000 people | [98th of 167] |
Workers' remittances and compensation of employees, received > US$ | 148,000,000 $ | [103rd of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 67.188 $ per $1,000 of GDP | [35th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 24.085 $ per capita | [104th of 167] |
Workers' remittances, receipts > BoP, current US$ | 153,313,100 BoP $ | [60th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 74.387 BoP $ per $1 million of | [25th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 25.602 BoP $ per 1,000 people | [57th of 143] |
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 ; 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 Togo, Togolese Republic, Republique TogolaiseDeath rate, crude > per 1,000 people | 11.7 per 1,000 people | [50th of 195] |
rate, adult, female > per 1,000 female adults | 309.54 per 1,000 female adults | [38th of 185] |
rate, adult, male > per 1,000 male adults | 369.21 per 1,000 male adults | [38th of 185] |
rate, infant > per 1,000 live births | 78 per 1,000 live births | [36th of 187] |
rate, under-5 > per 1,000 | 139 per 1,000 | [23rd of 187] |
SOURCES World Development Indicators database
immigrant population > Immigrants as percentage of state population | 2.978 | [101st of 195] |
immigrant population > Number of immigrants | 183,000 | [95th of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.1% | |
International migration stock > % of population | 2.98 % | [111st of 205] |
International migration stock, total | 183,304 | [97th of 205] |
Net migration | -3,570 | [76th of 180] |
Net migration (per capita) | -0.581 per 1 million people | [70th of 185] |
Net migration rate | 0 migrant(s)/1,000 populati | [123rd of 225] |
Refugee population by country or territory of asylum | 9,287 | [64th of 151] |
Refugee population by country or territory of asylum (per capita) | 1,511.309 per 1 million people | [58th of 162] |
Refugee population by country or territory of origin | 51,107 | [27th of 77] |
Refugee population by country or territory of origin (per capita) | 8.317 per 1 million people | [17th of 77] |
Refugees > Convention on refugees | 27 Feb 1962 d | |
Refugees > Outflow | 4,000 | [50th of 76] |
Refugees > Outflow (per capita) | 0.740741 per 1,000 people | [35th of 76] |
Refugees > US acceptance rates | 15.6 | [41st of 49] |
Refugees > US applications | 45 | [28th of 64] |
Refugees > US applications (per capita) | 0.00833333 per 1,000 people | [27th of 63] |
Refugees > US applications approved | 7 | [30th of 53] |
Refugees > US applications approved (per capita) | 0.0012963 per 1,000 people | [27th of 52] |
Refugees > US applications denied | 18 | [22nd of 41] |
Refugees > US applications denied (per capita) | 0.00333333 per 1,000 people | [24th of 40] |
Refugees > US applications otherwise closed | 5 | [22nd of 39] |
Refugees > US applications otherwise closed (per capita) | 0.000925926 per 1,000 people | [21st of 38] |
Refugees and internally displaced persons > IDPs | 1,500 | [32nd of 40] |
Refugees and internally displaced persons > IDPs (per capita) | 0.263 per 1,000 people | [30th of 40] |
Refugees and internally displaced persons > Refugees (country of origin) | 5,000 (Ghana) | |
US visa lottery winners | 2,819 US visa lottery winners | [13th of 178] |
US visa lottery winners (per capita) | 522.037 US visa lottery winners | [5th 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; UNHCR (United Nations High Commissioner for Refugees). 2002. Correspondence on refugees and internally displaced persons. February. Geneva.; Nationmaster.com calculations based on USCIS (United States Citizenship and Immigration Services) data; United States Citizenship and Immigration Services; US Department of State; Bureau of Consular Affairs
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