1) Natural
geography
Area > Comparative slightly less than twice the size of Texas |
||
Area > Comparative to US places slightly less than twice the size of Texas |
||
Area > Land | 1,266,700 sq km | [21st of 238] |
Area > Land (per capita) | 95.437 sq km per 1,000 people | [24th of 227] |
Area > Total | 1,267,000 sq km | [28th of 250] |
Area > Total (per capita) | 95.459 sq km per 1,000 people | [24th of 231] |
Area > Water | 300 sq km | [119th of 239] |
Area > Water (per capita) | 22.603 sq km per million people | [132nd of 225] |
Capital city with population | Niamey - 398,265 | |
Climate desert; mostly hot, dry, dusty; tropical in extreme south |
||
Coastline | 0 km | [236th of 271] |
Elevation extremes > Highest point | Mont Bagzane 2,022 m | |
Elevation extremes > Lowest point | Niger River 200 m | |
Forested Land | 1% | [181st of 193] |
Geographic coordinates | 16 00 N, 8 00 E | |
Geography > Note landlocked; one of the hottest countries in the world; northern four-fifths is desert, southern one-fifth is savanna, suitable for livestock and limited agriculture |
||
Irrigated land | 730 sq km | [102nd of 196] |
Irrigated land (per capita) | 55.931 sq km per million people | [122nd of 167] |
Land area > sq. km | 1,266,700 km² | [20th of 206] |
Land area > sq. km (per capita) | 90.757 km² per 1,000 people | [20th of 206] |
Land boundaries > Border countries Algeria 956 km, Benin 266 km, Burkina Faso 628 km, Chad 1,175 km, Libya 354 km, Mali 821 km, Nigeria 1,497 km |
||
Land boundaries > Total | 5,697 km | [23rd of 166] |
Land boundaries > Total (per capita) | 429.228 km per million people | [45th of 164] |
Land use > Arable land | 11.43% | [100th of 258] |
Land use > Other | 88.56% | [119th of 258] |
Land use > Permanent crops | 0.01% | [195th of 258] |
Largest city | Niamey | |
Largest city population | 587,000 | [111st of 174] |
Largest city population (per capita) | 0.048 per capita | [156th of 174] |
Largest city with population | Niamey - 398,265 | |
Location Western Africa, southeast of Algeria |
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Map references Africa |
||
Maritime claims | none (landlocked) | |
Natural hazards | recurring droughts | |
Natural resources uranium, coal, iron ore, tin, phosphates, gold, molybdenum, gypsum, salt, petroleum |
||
northernmost point > Latitude | 23°31'N | |
Population density | 7.86 people per sqkm | [211st of 256] |
Population density > people per sq. km | 11.02 people/m² | [185th of 204] |
Rural population density > rural population per sq. km of arable land | 75.2 people/km² of arable lan | [168th of 188] |
Surface area > sq. km | 1,267,000 km² | [21st of 206] |
Surface area > sq. km (per capita) | 90.779 km² per 1,000 people | [21st of 207] |
tallest mountains > Mountain | Mont Bagzane | |
Terrain predominately desert plains and sand dunes; flat to rolling plains in south; hills in north |
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
Niger,
Republic of Niger, Republique du Niger
Environment
Acidification | 0% | [116th of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 0.26 % of GNI | [117th of 179] |
Adjusted savings: net forest depletion > % of GNI | 2.62 % of GNI | [8th of 57] |
Adjusted savings: particulate emission damage > % of GNI | 0.82 % of GNI | [37th of 165] |
Areas under protection | 6 | [127th of 146] |
Areas under protection (per capita) | 0.493299 per 1 million people | [129th of 146] |
Biosphere reserves area | 25,128 thousand hectares | [5th of 86] |
Biosphere reserves area (per capita) | 2,065.94 thousand hectares per 1 | [3rd of 86] |
Breeding birds threatened | 1% | [117th of 136] |
Carbon efficiency | 0.39 CO2 emissions/$ GDP | [116th of 141] |
CFC consumption | 356.53 | [69th of 107] |
CFC consumption (per capita) | 0.0293127 per 1,000 people | [79th of 107] |
CO2 Emissions | 1,195.9 | [136th of 178] |
CO2 Emissions (per capita) | 0.0983228 per 1,000 people | [160th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.13 kg/PPP$ | [143rd of 170] |
CO2 emissions > kt | 1,205.13 kt | [150th of 195] |
CO2 emissions > kt (per capita) | 0.092 kt per 1,000 people | [182nd of 196] |
CPIA policy and institutions for environmental sustainability rating | 3 | [48th of 75] |
Current issues overgrazing; soil erosion; deforestation; desertification; wildlife populations (such as elephant, hippopotamus, giraffe, and lion) threatened because of poaching and habitat destruction |
||
Ecological footprint | 0.97 | [115th of 141] |
Endangered species protection | 50% | [90th of 141] |
Fertiliser consumption | 1.86 hundred grams/hectare | [139th of 141] |
Forest area > % of land area | 1 % of land area | [185th of 195] |
Forest area > sq. km | 12,660 km² | [115th of 195] |
Forest area > sq. km (per capita) | 907.073 km² per 1,000 people | [152nd of 195] |
Freshwater withdrawal | 2.18 | [64th of 124] |
Freshwater withdrawal > Agricultural | 95% | [18th of 124] |
Freshwater withdrawal > Domestic | 4% | [103rd of 124] |
Freshwater withdrawal > Industrial | 0% | [120th of 124] |
Groundwater withdrawals | 17.9 | [75th of 188] |
International agreements > Party to Biodiversity, Climate Change, Climate Change-Kyoto Protocol, Desertification, Endangered Species, Environmental Modification, Hazardous Wastes, Ozone Layer Protection, Wetlands |
||
International agreements > Signed but not ratified | Law of the Sea | |
Known breeding bird species | 125 | [128th of 146] |
Known breeding bird species (per capita) | 10.2771 per 1 million people | [96th of 146] |
Known mammal species | 131 | [69th of 145] |
Known mammal species (per capita) | 10.7704 per 1 million people | [77th of 145] |
Marine fish catch | 0 tons | [129th of 141] |
Marine fish catch (per capita) | 0 tons per 1,000 people | [129th of 141] |
Non-wildness | 0.03% | [138th of 141] |
NOx emissions per populated area | 0.16 thousand metric tons/squ | [104th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 386.25 kg/day | [33rd of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.32 kg per day per worker | [2nd of 115] |
PM10, country level > micrograms per cubic meter | 144.16 mcg/m³ | [3rd of 185] |
Pollution > Carbon dioxide 1999 | 310 | [144th of 199] |
Protected area | 7.7 | [53rd of 147] |
SO2 emissions per populated area | 90 thousand metric tons/squ | [127th of 141] |
SO2 exports | 1,649.03 hundred metric tons | [54th of 141] |
Threatened species | 15 | [117th of 158] |
Threatened species > Mammal | 11 | [75th of 160] |
Total renewable water resources | 33.7 cu km | [14th of 31] |
Urban NO2 concentration | 54.95 micrograms/m3 | [58th of 141] |
Urban SO2 concentration | 146.57 micrograms/m3 | [5th of 141] |
Water > Availability | -0.33 thousand cubic metres | [134th of 141] |
Water > Dissolved oxygen concentration | 5.4 mls/litre | [129th of 141] |
Water > Phosphorus concentration | 0.69 mls/litre | [10th of 141] |
Water > Salinisation | 247.69 | [116th of 141] |
Water > Severe water stress | 40.5 | [39th of 140] |
Water > Suspended solids | 5.29 mls/litre | [63rd of 141] |
Water pollution, chemical industry > % of total BOD emissions | 4.45 % | [26th of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.27 % | [17th of 112] |
Water pollution, food industry > % of total BOD emissions | 76.89 % | [2nd of 114] |
Water pollution, paper and pulp industry > % of total BOD emissions | 16.95 % | [9th of 111] |
Water pollution, textile industry > % of total BOD emissions | 21.29 % | [16th of 114] |
Water pollution, wood industry > % of total BOD emissions | 0.8 % | [31st of 114] |
Wetlands of intl importance > Area | 715 thousand hectares | [23rd of 112] |
Wetlands of intl importance > Area (per capita) | 58.7848 thousand hectares per 1 m | [22nd of 112] |
Wildness | 73.54% | [7th 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
Niger,
Republic of Niger, Republique du Niger
2) Human geography
Age distribution
Niger Population Pyramid for 1990
Age and sex distribution for the year 1990
Niger Population Pyramid for 1995
Age and sex
distribution for the year 1995
Niger Population Pyramid for 2000
Age and sex
distribution for the year 2000
Niger Population Pyramid for 2003
Age and sex
distribution for the year 2003
Niger Population Pyramid for 2005
Age and sex
distribution for the year 2005
Niger Population Pyramid for 2010
Age and sex
distribution for the year 2010
Niger Population Pyramid for 2020
Predicted age and sex
distribution for the year 2020
Niger Population Pyramid for 2050
Predicted age and sex
distribution for the year 2050
Source
US
Census Bureau
July 17, 2003
Labor
CPIA building human resources rating | 3 | [50th of 75] |
Economic activity > Both sexes aged 10-14 | 23.91 | [34th of 89] |
Economic activity > Both sexes aged 15-19 | 47.32 | [55th of 167] |
Economic activity > Both sexes aged 20-24 | 64.27 | [145th of 166] |
Economic activity > Both sexes aged 25-29 | 71.23 | [145th of 167] |
Economic activity > Both sexes aged 30-34 | 72.56 | [145th of 165] |
Economic activity > Both sexes aged 35-39 | 76.59 | [125th of 166] |
Economic activity > Both sexes aged 40-44 | 78.45 | [111st of 167] |
Economic activity > Both sexes aged 45-49 | 81.23 | [85th of 163] |
Economic activity > Both sexes aged 50-54 | 80.48 | [60th of 166] |
Economic activity > Both sexes aged 55-59 | 75.74 | [39th of 166] |
Economic activity > Both sexes aged 60-64 | 66.61 | [31st of 166] |
Economic activity > Both sexes aged 65 plus | 46.47 | [34th of 165] |
Economic activity > Men aged 10-14 | 32.1 | [21st of 92] |
Economic activity > Men aged 15-19 | 60.03 | [38th of 164] |
Economic activity > Men aged 20-24 | 83.33 | [86th of 166] |
Economic activity > Men aged 25-29 | 94.33 | [117th of 165] |
Economic activity > Men aged 30-34 | 96.38 | [135th of 165] |
Economic activity > Men aged 35-39 | 97.35 | [97th of 164] |
Economic activity > Men aged 40-44 | 97.7 | [37th of 163] |
Economic activity > Men aged 45-49 | 98.48 | [8th of 167] |
Economic activity > Men aged 50-54 | 96.33 | [24th of 165] |
Economic activity > Men aged 55-59 | 94.24 | [21st of 167] |
Economic activity > Men aged 60-64 | 90.75 | [14th of 165] |
Economic activity > Women aged 10-14 | 15.67 | [42nd of 89] |
Economic activity > Women aged 15-19 | 34.59 | [70th of 164] |
Economic activity > Women aged 20-24 | 45.33 | [143rd of 166] |
Economic activity > Women aged 25-29 | 48.47 | [139th of 165] |
Economic activity > Women aged 30-34 | 49.28 | [143rd of 167] |
Economic activity > Women aged 35-39 | 56.65 | [121st of 165] |
Economic activity > Women aged 40-44 | 59.99 | [106th of 165] |
Economic activity > Women aged 45-49 | 64.93 | [88th of 161] |
Economic activity > Women aged 50-54 | 65.67 | [71st of 166] |
Economic activity > Women aged 55-59 | 58.81 | [46th of 167] |
Economic activity > Women aged 60-64 | 45.11 | [47th of 165] |
Economic activity > Women aged 65 plus | 25.61 | [44th of 167] |
Female economic activity | 69.4% | [22nd of 156] |
Female economic activity growth | -1% | [127th of 156] |
Firing cost > weeks of wages | 31.4 weeks of wages | [101st of 164] |
force participation rate, female > % of female population ages 15-64 | 72.98 % | [24th of 184] |
force participation rate, male > % of male population ages 15-64 | 95.52 % | [1st of 184] |
force participation rate, total > % of total population ages 15-64 | 84.51 % | [8th of 184] |
force, female > % of total labor force | 41.96 % | [92nd of 184] |
force, total | 5,932,698 | [62nd of 184] |
force, total (per capita) | 0.425 per capita | [115th of 184] |
Labor force | 70,000 | [17th of 132] |
Labor force (per capita) | 5,548.272 per million people | [17th of 131] |
Labor force > By occupation agriculture 90%, industry and commerce 6%, government 4% |
||
Labor force > By occupation > Agriculture | 90% | [1st of 32] |
Labor force > By occupation > Industry | 6% | [10th of 29] |
Labor force > By occupation > Services | 4% | [10th of 29] |
Minimum Age Convention, 1973 > Ratifications > Date | December 4, 1978 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [106th of 146] |
Parental leave > Paid maternity leave | 14 weeks | |
Regulation | 59 | [42nd of 123] |
Regulation > Employment Conditions | 89 | [18th of 123] |
Regulation > Firing | 34 | [65th of 123] |
Regulation > Hiring | 53 | [54th of 123] |
regulations > % of managers surveyed ranking this as a major business constraint | 0.8 % | [38th of 39] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | March 23, 1962 | |
Rigidity of employment index | 77 | [2nd of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 7.8 % | [136th of 174] |
Workers' remittances and compensation of employees, paid > US$ | 25,000,000 $ | [102nd of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 7.342 $ per $1,000 of GDP | [54th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 1.791 $ per 1,000 people | [118th of 167] |
Workers' remittances and compensation of employees, received > US$ | 60,000,000 $ | [116th of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 17.62 $ per $1,000 of GDP | [72nd of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 4.299 $ per capita | [140th of 167] |
Workers' remittances, receipts > BoP, current US$ | 42,872,710 BoP $ | [80th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 14.043 BoP $ per $1 million of | [52nd of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 3.176 BoP $ per 1,000 people | [94th 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
Niger,
Republic of Niger, Republique du Niger
People
African countries by population density > area | 1,267,000 | [6th of 56] |
African countries by population density > pop. dens. | 8.4 | [49th of 56] |
African countries by population density > population | 10,639,744 | [21st of 56] |
Age dependency ratio > dependents to working-age population | 1.04 | [2nd of 185] |
Age structure > 0-14 years | 46.9 % | [7th of 225] |
Age structure > 0-14 years | 47.3 | [6th of 226] |
Age structure > 0-14 years > Females | 3,057,003 | [54th of 225] |
Age structure > 0-14 years > From total | 47% | [5th of 227] |
Age structure > 0-14 years > Males | 3,174,834 | [54th of 225] |
Age structure > 15-64 years | 50.6 | [220th of 226] |
Age structure > 15-64 years | 50.7 % | [217th of 225] |
Age structure > 15-64 years > Females | 3,267,496 | [78th of 225] |
Age structure > 15-64 years > From total | 50.6% | [216th of 227] |
Age structure > 15-64 years > Males | 3,450,393 | [75th of 225] |
Age structure > 65 years and over | 2.4 % | [218th of 225] |
Age structure > 65 years and over > Females | 163,008 | [113rd of 225] |
Age structure > 65 years and over > From total | 2.4% | [209th of 227] |
Age structure > 65 years and over > Males | 159,945 | [102nd of 225] |
Birth rate | 49.62 births/1,000 population | [1st of 226] |
Child Protection > Birth registration, % of rural | 40 | [39th of 52] |
Child Protection > Birth registration, % of total | 46 | [41st of 56] |
Child Protection > Birth registration, % of urban | 85 | [21st of 52] |
Child Protection > Child labour 5-14 years, % of female | 62 | [1st of 46] |
Child Protection > Child labour 5-14 years, % of male | 68 | [1st of 46] |
Child Protection > Child labour 5-14 years, % of poorest 20% | 73 | [1st of 43] |
Child Protection > Child labour 5-14 years, % of richest 20% | 50 | [1st of 43] |
Child Protection > Child labour 5-14 years, % of rural | 69 | [1st of 42] |
Child Protection > Child labour 5-14 years, % of total | 65 | [1st of 46] |
Child Protection > Child labour 5-14 years, % of urban | 42 | [3rd of 42] |
Chinese population | 20 | [125th of 127] |
Chinese population (per capita) | 0.164 per 100,000 people | [121st of 126] |
CPIA social protection rating | 3 | [47th of 75] |
Death rate | 20.26 deaths/1,000 population | [8th of 226] |
Education expenditures | 3.4 % of GDP | [30th of 55] |
Ethnic groups Haoussa 55.4%, Djerma Sonrai 21%, Tuareg 9.3%, Peuhl 8.5%, Kanouri Manga 4.7%, other 1.2% |
||
Female population > Age 10-14 | 763,956 | [62nd of 224] |
Female population > Age 10-14 > % of the total | 6.1 | [46th of 224] |
Female population > Age 15-19 | 638,247 | [69th of 224] |
Female population > Age 15-19 > % of the total | 5.1 | [87th of 224] |
Female population > Age 20-24 | 521,501 | [70th of 224] |
Female population > Age 20-24 > % of the total | 4.16 | [133rd of 224] |
Female population > Age 25-29 | 426,032 | [73rd of 224] |
Female population > Age 25-29 > % of the total | 3.4 | [182nd of 224] |
Female population > Age 30-34 | 353,402 | [78th of 224] |
Female population > Age 30-34 > % of the total | 2.82 | [204th of 224] |
Female population > Age 35-39 | 293,193 | [83rd of 224] |
Female population > Age 35-39 > % of the total | 2.34 | [200th of 224] |
Female population > Age 40-44 | 245,631 | [83rd of 224] |
Female population > Age 40-44 > % of the total | 1.96 | [201st of 224] |
Female population > Age 45-49 | 202,029 | [86th of 224] |
Female population > Age 45-49 > % of the total | 1.61 | [207th of 224] |
Female population > Age 50-54 | 165,126 | [93rd of 224] |
Female population > Age 50-54 > % of the total | 1.32 | [204th of 224] |
Female population > Age 55-59 | 134,095 | [94th of 224] |
Female population > Age 55-59 > % of the total | 1.07 | [199th of 224] |
Female population > Age 60-64 | 104,266 | [93rd of 224] |
Female population > Age 60-64 > % of the total | 0.83 | [192nd of 224] |
Female population > Age 65-69 | 73,779 | [100th of 224] |
Female population > Age 65-69 > % of the total | 0.59 | [207th of 224] |
Female population > Age 70-74 | 45,385 | [113rd of 224] |
Female population > Age 70-74 > % of the total | 0.36 | [212nd of 224] |
Female population > Age 75-79 | 22,638 | [126th of 224] |
Female population > Age 75-79 > % of the total | 0.18 | [217th of 224] |
Female population > Age 80-84 | 10,379 | [137th of 224] |
Female population > Age 80-84 > % of the total | 0.08 | [224th of 224] |
Gender development | 0.263 | [142nd of 141] |
Male population > Age 10-14 | 800,458 | [61st of 224] |
Male population > Age 10-14 > % of the total | 6.39 | [34th of 224] |
Male population > Age 15-19 | 676,725 | [68th of 224] |
Male population > Age 15-19 > % of the total | 5.4 | [76th of 224] |
Male population > Age 20-24 | 558,696 | [70th of 224] |
Male population > Age 20-24 > % of the total | 4.46 | [115th of 224] |
Male population > Age 25-29 | 460,280 | [72nd of 224] |
Male population > Age 25-29 > % of the total | 3.67 | [157th of 224] |
Male population > Age 30-34 | 380,908 | [79th of 224] |
Male population > Age 30-34 > % of the total | 3.04 | [198th of 224] |
Male population > Age 35-39 | 312,292 | [79th of 224] |
Male population > Age 35-39 > % of the total | 2.49 | [204th of 224] |
Male population > Age 40-44 | 258,012 | [81st of 224] |
Male population > Age 40-44 > % of the total | 2.06 | [192nd of 224] |
Male population > Age 45-49 | 209,368 | [83rd of 224] |
Male population > Age 45-49 > % of the total | 1.67 | [189th of 224] |
Male population > Age 50-54 | 168,225 | [88th of 224] |
Male population > Age 50-54 > % of the total | 1.34 | [180th of 224] |
Male population > Age 55-59 | 134,255 | [86th of 224] |
Male population > Age 55-59 > % of the total | 1.07 | [176th of 224] |
Male population > Age 60-64 | 103,353 | [85th of 224] |
Male population > Age 60-64 > % of the total | 0.83 | [164th of 224] |
Male population > Age 65-69 | 72,839 | [90th of 224] |
Male population > Age 65-69 > % of the total | 0.58 | [188th of 224] |
Male population > Age 70-74 | 44,872 | [98th of 224] |
Male population > Age 70-74 > % of the total | 0.36 | [199th of 224] |
Male population > Age 75-79 | 22,609 | [112nd of 224] |
Male population > Age 75-79 > % of the total | 0.18 | [216th of 224] |
Male population > Age 80-84 | 10,662 | [123rd of 224] |
Male population > Age 80-84 > % of the total | 0.09 | [219th of 224] |
Median age > Female | 16.4 years | [217th of 224] |
Median age > Male | 16.5 years | [212nd of 224] |
Median age > Total | 16.4 years | [215th of 224] |
Nationality > Adjective | Nigerien | |
Nationality > Noun | Nigerien(s) | |
Percentage living in rural areas. | 78% | [16th of 193] |
Percentage living in urban areas | 22% | [184th of 199] |
Population | 13,272,679 | [66th of 242] |
Population > CIA Factbook | 13,272,679 | [66th of 240] |
Population ages 0-14 > % of total | 49.03 % | [2nd of 185] |
Population ages 15-64 > % of total | 49.01 % | [182nd of 185] |
Population ages 65 and above > % of total | 1.96 % | [180th of 185] |
Population growth > annual % | 3.34 annual % | [9th of 195] |
Population growth rate | 2.878% | [18th of 235] |
Population in 2015 | 19,283 | [58th of 225] |
Population in largest city | 849,512 | [113rd of 118] |
Population in largest city (per capita) | 0.061 per capita | [105th of 118] |
Population in the largest city > % of urban population | 36.23 % | [39th of 118] |
Population, female > % of total | 48.9 % | [167th of 190] |
Projected population growth | 174.81% | [15th of 141] |
Rights of the Child Convention > Ratification Dates | 30 Sep 1990 | |
Rights of the Child Convention > Signatories | 26 Jan 1990 | |
Rural population | 11,612,210 | [41st of 193] |
Rural population (per capita) | 0.832 per capita | [9th of 194] |
Rural population growth > annual % | 3.19 annual % | [7th of 193] |
Sex ratio > 15-64 years | 0.96 | [181st of 223] |
Sex ratio > 15-64 years | 1.06 male(s)/female | [24th of 224] |
Sex ratio > 65 years and over | 0.98 male(s)/female | [22nd of 223] |
Sex ratio > At birth | 1.03 male(s)/female | [176th of 223] |
Sex ratio > sex ratios > 15–65 | 1.06 | [28th of 215] |
Sex ratio > sex ratios > at birth | 1.03 | [180th of 215] |
Sex ratio > sex ratios > over 65 | 0.99 | [21st of 215] |
Sex ratio > sex ratios > total | 1.05 | [27th of 215] |
Sex ratio > sex ratios > under 15 | 1.04 | [143rd of 215] |
Sex ratio > Total population | 1.05 male(s)/female | [24th of 224] |
Sex ratio > Under 15 years | 1.04 male(s)/female | [109th of 224] |
Total fertility rate | 7.29 children born/woman | [2nd of 225] |
Total Population | 12,525,094 | [66th of 227] |
Total population > Age 10-14 | 1,564,414 | [61st of 224] |
Total population > Age 10-14 > % of the total | 12.49 | [40th of 224] |
Total population > Age 15-19 | 1,314,972 | [69th of 224] |
Total population > Age 15-19 > % of the total | 10.5 | [83rd of 224] |
Total population > Age 20-24 | 1,080,197 | [69th of 224] |
Total population > Age 20-24 > % of the total | 8.62 | [127th of 224] |
Total population > Age 25-29 | 886,312 | [73rd of 224] |
Total population > Age 25-29 > % of the total | 7.08 | [170th of 224] |
Total population > Age 30-34 | 734,310 | [78th of 224] |
Total population > Age 30-34 > % of the total | 5.86 | [206th of 224] |
Total population > Age 35-39 | 605,485 | [81st of 224] |
Total population > Age 35-39 > % of the total | 4.83 | [204th of 224] |
Total population > Age 40-44 | 503,643 | [82nd of 224] |
Total population > Age 40-44 > % of the total | 4.02 | [200th of 224] |
Total population > Age 45-49 | 411,397 | [84th of 224] |
Total population > Age 45-49 > % of the total | 3.28 | [194th of 224] |
Total population > Age 50-54 | 333,351 | [88th of 224] |
Total population > Age 50-54 > % of the total | 2.66 | [195th of 224] |
Total population > Age 55-59 | 268,350 | [87th of 224] |
Total population > Age 55-59 > % of the total | 2.14 | [188th of 224] |
Total population > Age 60-64 | 207,619 | [88th of 224] |
Total population > Age 60-64 > % of the total | 1.66 | [182nd of 224] |
Total population > Age 65-69 | 146,618 | [98th of 224] |
Total population > Age 65-69 > % of the total | 1.17 | [196th of 224] |
Total population > Age 70-74 | 90,257 | [107th of 224] |
Total population > Age 70-74 > % of the total | 0.72 | [210th of 224] |
Total population > Age 75-79 | 45,247 | [120th of 224] |
Total population > Age 75-79 > % of the total | 0.36 | [219th of 224] |
Total population > Age 80-84 | 21,041 | [132nd of 224] |
Total population > Age 80-84 > % of the total | 0.17 | [222nd of 224] |
Total Population > Female | 6,117,976 | [67th of 227] |
Total Population > Male | 6,407,118 | [66th of 227] |
Urban population | 2,344,772 | [115th of 195] |
Urban population (per capita) | 0.168 per capita | [186th of 196] |
Urban population growth > annual % | 4.05 annual % | [26th of 195] |
Urbanization | 21 | [190th of 204] |
Urbanization in 1975 | 10.6% | [153rd of 164] |
Urbanization in 2015 | 29.1% | [149th of 164] |
Women > Adult literacy rate females as a % of males | 36 | [145th of 144] |
Women > Antenatal care coverage % | 41 | [126th of 133] |
Women > Contraceptive prevalence % | 14 | [151st of 170] |
Women > Life expectancy females as a % of males | 100 | [169th of 173] |
Women > Maternal mortality ratio > reported | 590 | [15th of 154] |
Women > Maternal mortality ratio adjusted | 1,600 | [5th of 166] |
Women > Skilled attendant at delivery % | 16 | [169th of 172] |
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; 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; 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
Niger,
Republic of Niger, Republique du Niger
Mortality
Death rate, crude > per 1,000 people | 20.19 per 1,000 people | [13th of 195] |
rate, adult, female > per 1,000 female adults | 339.08 per 1,000 female adults | [35th of 185] |
rate, adult, male > per 1,000 male adults | 368.48 per 1,000 male adults | [39th of 185] |
rate, infant > per 1,000 live births | 150 per 1,000 live births | [4th of 187] |
rate, under-5 > per 1,000 | 256 per 1,000 | [3rd of 187] |
SOURCES
World Development Indicators database
ALTERNATIVE NAMES
Niger,
Republic of Niger, Republique du Niger
Other articles in this category |
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Niger at a glance |
Geography |
History |
Culture |
Economy(1) |
Economy(2) |
Politics |
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