1) Natural geography
Area >
Comparative slightly larger than three times the size of New Mexico |
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Area > Comparative to US places slightly larger than three times the size of New Mexico |
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Area > Land | 1,030,400 sq km | [29th of 238] |
Area > Land (per capita) | 306.216 sq km per 1,000 people | [11th of 227] |
Area > Total | 1,030,700 sq km | [35th of 250] |
Area > Total (per capita) | 306.306 sq km per 1,000 people | [11th of 231] |
Area > Water | 300 sq km | [120th of 239] |
Area > Water (per capita) | 89.155 sq km per million people | [101st of 225] |
Capital city with population | Nouakchott - 480,000 | |
Climate desert; constantly hot, dry, dusty |
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Coastline | 754 km | [101st of 271] |
Elevation extremes > Highest point | Kediet Ijill 915 m | |
Elevation extremes > Lowest point Sebkhet Te-n-Dghamcha -5 m |
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Forested Land | 0.3% | [189th of 193] |
Geographic coordinates | 20 00 N, 12 00 W | |
Geography >
Note most of the population concentrated in the cities of Nouakchott and Nouadhibou and along the Senegal River in the southern part of the country |
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Irrigated land | 490 sq km | [108th of 196] |
Irrigated land (per capita) | 196.276 sq km per million people | [81st of 167] |
Land area > sq. km | 1,025,220 km² | [27th of 206] |
Land area > sq. km (per capita) | 334.085 km² per 1,000 people | [7th of 206] |
Land
boundaries > Border countries Algeria 463 km, Mali 2,237 km, Senegal 813 km, Western Sahara 1,561 km |
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Land boundaries > Total | 5,074 km | [32nd of 166] |
Land boundaries > Total (per capita) | 1,507.902 km per million people | [12th of 164] |
Land use > Arable land | 0.2% | [207th of 258] |
Land use > Other | 99.79% | [34th of 258] |
Land use > Permanent crops | 0.01% | [196th of 258] |
Largest city | Nouakchott | |
Largest city population | 694,000 | [103rd of 174] |
Largest city population (per capita) | 0.225 per capita | [51st of 174] |
Largest city with population | Nouakchott - 480,000 | |
Location Northern Africa, bordering the North Atlantic Ocean, between Senegal and Western Sahara |
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Map
references Africa |
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Maritime claims > Contiguous zone | 24 nautical mile | [51st of 83] |
Maritime claims > Continental shelf 200 nm or to the edge of the continental margin |
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Maritime claims > Exclusive economic zone | 200 nautical mile | [82nd of 123] |
Maritime claims > Territorial sea | 12 nautical mile | [145th of 191] |
Natural
hazards hot, dry, dust/sand-laden sirocco wind blows primarily in March and April; periodic droughts |
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Natural
resources iron ore, gypsum, copper, phosphate, diamonds, gold, oil, fish |
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northernmost point > Latitude | 26°20'N | |
Population density | 2.51 people per sqkm | [222nd of 256] |
Population density > people per sq. km | 2.99 people/m² | [198th of 204] |
Rural population density > rural population per sq. km of arable land | 354.26 people/km² of arable lan | [77th of 188] |
Surface area > sq. km | 1,025,520 km² | [28th of 206] |
Surface area > sq. km (per capita) | 334.183 km² per 1,000 people | [7th of 207] |
tallest mountains > Mountain | Kediet Ijill | |
Terrain mostly barren, flat plains of the Sahara; some central hills |
Acidification | 0% | [88th of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 1.01 % of GNI | [33rd of 179] |
Adjusted savings: net forest depletion > % of GNI | 0.59 % of GNI | [26th of 57] |
Adjusted savings: particulate emission damage > % of GNI | 2.51 % of GNI | [2nd of 165] |
Areas under protection | 9 | [118th of 146] |
Areas under protection (per capita) | 2.91545 per 1 million people | [78th of 146] |
Breeding birds threatened | 0.73% | [122nd of 136] |
Carbon efficiency | 2 CO2 emissions/$ GDP | [37th of 141] |
CFC consumption | 19.91 | [96th of 107] |
CFC consumption (per capita) | 0.00644963 per 1,000 people | [87th of 107] |
CO2 Emissions | 3,137.5 | [115th of 178] |
CO2 Emissions (per capita) | 1.01636 per 1,000 people | [107th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.5 kg/PPP$ | [44th of 170] |
CO2 emissions > kt | 2,498.17 kt | [127th of 195] |
CO2 emissions > kt (per capita) | 0.864 kt per 1,000 people | [136th of 196] |
CPIA policy and institutions for environmental sustainability rating | 3.5 | [30th of 75] |
Current
issues overgrazing, deforestation, and soil erosion aggravated by drought are contributing to desertification; limited natural fresh water resources away from the Senegal, which is the only perennial river; locust infestation |
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Ecological footprint | 1.22 | [97th of 141] |
Endangered species protection | 0% | [122nd of 141] |
Fertiliser consumption | 43.03 hundred grams/hectare | [120th of 141] |
Forest area > % of land area | 0.26 % of land area | [192nd of 195] |
Forest area > sq. km | 2,670 km² | [149th of 195] |
Forest area > sq. km (per capita) | 870.063 km² per 1,000 people | [153rd of 195] |
Freshwater withdrawal | 1.7 | [70th of 124] |
Freshwater withdrawal > Agricultural | 88% | [37th of 124] |
Freshwater withdrawal > Domestic | 9% | [80th of 124] |
Freshwater withdrawal > Industrial | 3% | [80th of 124] |
Groundwater withdrawals | 498.3 | [7th 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, Ship Pollution, 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 | 172 | [99th of 146] |
Known breeding bird species (per capita) | 55.7175 per 1 million people | [26th of 146] |
Known mammal species | 61 | [126th of 145] |
Known mammal species (per capita) | 19.7603 per 1 million people | [45th of 145] |
Marine areas under protection | 3 | [60th of 95] |
Marine areas under protection (per capita) | 0.971817 per 1 million people | [30th of 95] |
Marine fish catch | 25,948 tons | [77th of 141] |
Marine fish catch (per capita) | 8.40557 tons per 1,000 people | [48th of 141] |
Non-wildness | 0.03% | [137th of 141] |
NOx emissions per populated area | 0.2 thousand metric tons/squ | [84th of 141] |
PM10, country level > micrograms per cubic meter | 103.26 mcg/m³ | [16th of 185] |
Pollution > Carbon dioxide 1999 | 829 | [119th of 199] |
Protected area | 1.7 | [120th of 147] |
SO2 emissions per populated area | 180 thousand metric tons/squ | [100th of 141] |
SO2 exports | 966.81 hundred metric tons | [84th of 141] |
Threatened species | 20 | [94th of 158] |
Threatened species > Mammal | 14 | [54th of 160] |
Total renewable water resources | 11.4 cu km | [19th of 31] |
Urban NO2 concentration | 39.99 micrograms/m3 | [103rd of 141] |
Urban SO2 concentration | 135.89 micrograms/m3 | [9th of 141] |
Water > Availability | 0.18 thousand cubic metres | [130th of 141] |
Water > Dissolved oxygen concentration | 5.54 mls/litre | [127th of 141] |
Water > Phosphorus concentration | 0.48 mls/litre | [36th of 141] |
Water > Salinisation | 756.33 | [56th of 141] |
Water > Severe water stress | 6.9 | [66th of 140] |
Water > Suspended solids | 5.86 mls/litre | [44th of 141] |
Wetlands of intl importance > Area | 1,231 thousand hectares | [14th of 112] |
Wetlands of intl importance > Area (per capita) | 398.769 thousand hectares per 1 m | [6th of 112] |
Wildness | 79.46% | [5th of 141] |
CPIA building human resources rating | 3.5 | [38th of 75] |
Economic activity > Both sexes aged 10-14 | 22.1 | [40th of 89] |
Economic activity > Both sexes aged 15-19 | 56.95 | [29th of 167] |
Economic activity > Both sexes aged 20-24 | 77.7 | [54th of 166] |
Economic activity > Both sexes aged 25-29 | 81.81 | [86th of 167] |
Economic activity > Both sexes aged 30-34 | 84.47 | [82nd of 165] |
Economic activity > Both sexes aged 35-39 | 84.88 | [82nd of 166] |
Economic activity > Both sexes aged 40-44 | 85.55 | [76th of 167] |
Economic activity > Both sexes aged 45-49 | 83.75 | [72nd of 163] |
Economic activity > Both sexes aged 50-54 | 81.76 | [53rd of 166] |
Economic activity > Both sexes aged 55-59 | 77.04 | [33rd of 166] |
Economic activity > Both sexes aged 60-64 | 63.42 | [41st of 166] |
Economic activity > Both sexes aged 65 plus | 43.24 | [40th of 165] |
Economic activity > Men aged 10-14 | 22.22 | [40th of 92] |
Economic activity > Men aged 15-19 | 61.87 | [27th of 164] |
Economic activity > Men aged 20-24 | 89.26 | [27th of 166] |
Economic activity > Men aged 25-29 | 95.86 | [62nd of 165] |
Economic activity > Men aged 30-34 | 97.51 | [60th of 165] |
Economic activity > Men aged 35-39 | 97.58 | [83rd of 164] |
Economic activity > Men aged 40-44 | 97.51 | [47th of 163] |
Economic activity > Men aged 45-49 | 97.13 | [45th of 167] |
Economic activity > Men aged 50-54 | 94.85 | [52nd of 165] |
Economic activity > Men aged 55-59 | 93.19 | [34th of 167] |
Economic activity > Men aged 60-64 | 75.35 | [71st of 165] |
Economic activity > Men aged 65 plus | 56.49 | [44th of 162] |
Economic activity > Women aged 10-14 | 21.97 | [34th of 89] |
Economic activity > Women aged 15-19 | 51.99 | [36th of 164] |
Economic activity > Women aged 20-24 | 66.12 | [75th of 166] |
Economic activity > Women aged 25-29 | 67.88 | [91st of 165] |
Economic activity > Women aged 30-34 | 71.5 | [79th of 167] |
Economic activity > Women aged 35-39 | 73.13 | [81st of 165] |
Economic activity > Women aged 40-44 | 73.89 | [76th of 165] |
Economic activity > Women aged 45-49 | 70.87 | [73rd of 161] |
Economic activity > Women aged 50-54 | 69.17 | [61st of 166] |
Economic activity > Women aged 55-59 | 62.72 | [37th of 167] |
Economic activity > Women aged 60-64 | 52.68 | [29th of 165] |
Economic activity > Women aged 65 plus | 33.07 | [24th of 167] |
Female economic activity | 63.4% | [35th of 156] |
Female economic activity growth | -2% | [132nd of 156] |
Firing cost > weeks of wages | 31.4 weeks of wages | [99th of 164] |
force participation rate, female > % of female population ages 15-64 | 56.45 % | [99th of 184] |
force participation rate, male > % of male population ages 15-64 | 85.06 % | [50th of 184] |
force participation rate, total > % of total population ages 15-64 | 70.5 % | [87th of 184] |
force, female > % of total labor force | 40.35 % | [109th of 184] |
force, total | 1,203,014 | [132nd of 184] |
force, total (per capita) | 0.392 per capita | [148th of 184] |
Labor force | 786,000 | [39th of 132] |
Labor force (per capita) | 288,535.981 per million people | [41st of 131] |
Labor
force > By occupation agriculture 50%, industry 10%, services 40% |
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Labor force > By occupation > Agriculture | 50% | [6th of 32] |
Labor force > By occupation > Industry | 10% | [13th of 29] |
Labor force > By occupation > Services | 40% | [13th of 29] |
Minimum Age Convention, 1973 > Ratifications > Date | December 3, 2001 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [117th of 146] |
Parental leave > Paid maternity leave | 14 weeks | |
Regulation | 59 | [40th of 123] |
Regulation > Employment Conditions | 47 | [106th of 123] |
Regulation > Firing | 66 | [11th of 123] |
Regulation > Hiring | 62 | [30th of 123] |
regulations > % of managers surveyed ranking this as a major business constraint | 0.39 % | [16th of 39] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | December 3, 2001 | |
Rigidity of employment index | 59 | [21st of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 37 % | [94th of 174] |
skills > % of managers surveyed ranking this as a major business constraint | 3.79 % | [9th of 38] |
Unemployment rate | 20% | [12th of 107] |
Workers' remittances and compensation of employees, paid > US$ | 10,000,000 $ | [94th of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 8.18 $ per $1,000 of GDP | [49th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 4.006 $ per 1,000 people | [87th of 167] |
Workers' remittances and compensation of employees, received > US$ | 2,000,000 $ | [149th of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 1.081 $ per $1,000 of GDP | [141st of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 0.652 $ per capita | [151st of 167] |
Workers' remittances, receipts > BoP, current US$ | 2,207,180 BoP $ | [80th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 1,805.563 BoP $ per $1 million of | [78th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 884.117 BoP $ per 1,000 people | [105th 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
Mauritania,
Islamic Republic of Mauritania, Al Jumhuriyah al Islamiyah al Muritaniyah,
Muritaniyah
People
African countries by population density > area | 1,030,700 | [11th of 56] |
African countries by population density > pop. dens. | 2.7 | [54th of 56] |
African countries by population density > population | 2,828,858 | [39th of 56] |
Age dependency ratio > dependents to working-age population | 0.87 | [27th of 185] |
Age structure > 0-14 years | 45.6 % | [15th of 225] |
Age structure > 0-14 years | 45.8 | [15th of 226] |
Age structure > 0-14 years > Females | 759,957 | [105th of 225] |
Age structure > 0-14 years > From total | 45.3% | [16th of 227] |
Age structure > 0-14 years > Males | 763,845 | [107th of 225] |
Age structure > 15-64 years | 52 | [212nd of 226] |
Age structure > 15-64 years | 52.2 % | [211st of 225] |
Age structure > 15-64 years > Females | 894,980 | [136th of 225] |
Age structure > 15-64 years > From total | 52.5% | [205th of 227] |
Age structure > 15-64 years > Males | 872,924 | [138th of 225] |
Age structure > 65 years and over | 2.2 % | [222nd of 225] |
Age structure > 65 years and over > Females | 44,087 | [145th of 225] |
Age structure > 65 years and over > From total | 2.2% | [215th of 227] |
Age structure > 65 years and over > Males | 29,147 | [150th of 225] |
Birth rate | 40.14 births/1,000 population | [18th of 226] |
Child Protection > Birth registration, % of rural | 42 | [38th of 52] |
Child Protection > Birth registration, % of total | 55 | [38th of 56] |
Child Protection > Birth registration, % of urban | 72 | [32nd of 52] |
CPIA social protection rating | 3.5 | [33rd of 75] |
Death rate | 11.61 deaths/1,000 population | [45th of 226] |
Education expenditures | 2.9 % of GDP | [39th of 55] |
Ethnic groups mixed Moor/black 40%, Moor 30%, black 30% |
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Female population > Age 10-14 | 204,871 | [112nd of 224] |
Female population > Age 10-14 > % of the total | 6.45 | [17th of 224] |
Female population > Age 15-19 | 172,334 | [119th of 224] |
Female population > Age 15-19 > % of the total | 5.42 | [62nd of 224] |
Female population > Age 20-24 | 143,103 | [130th of 224] |
Female population > Age 20-24 > % of the total | 4.5 | [103rd of 224] |
Female population > Age 25-29 | 118,531 | [136th of 224] |
Female population > Age 25-29 > % of the total | 3.73 | [129th of 224] |
Female population > Age 30-34 | 96,401 | [135th of 224] |
Female population > Age 30-34 > % of the total | 3.03 | [182nd of 224] |
Female population > Age 35-39 | 81,862 | [134th of 224] |
Female population > Age 35-39 > % of the total | 2.58 | [185th of 224] |
Female population > Age 40-44 | 67,936 | [137th of 224] |
Female population > Age 40-44 > % of the total | 2.14 | [184th of 224] |
Female population > Age 45-49 | 54,863 | [139th of 224] |
Female population > Age 45-49 > % of the total | 1.73 | [193rd of 224] |
Female population > Age 50-54 | 43,723 | [140th of 224] |
Female population > Age 50-54 > % of the total | 1.38 | [200th of 224] |
Female population > Age 55-59 | 34,740 | [140th of 224] |
Female population > Age 55-59 > % of the total | 1.09 | [196th of 224] |
Female population > Age 60-64 | 26,339 | [140th of 224] |
Female population > Age 60-64 > % of the total | 0.83 | [194th of 224] |
Female population > Age 65-69 | 19,134 | [141st of 224] |
Female population > Age 65-69 > % of the total | 0.6 | [203rd of 224] |
Female population > Age 70-74 | 12,639 | [145th of 224] |
Female population > Age 70-74 > % of the total | 0.4 | [206th of 224] |
Female population > Age 75-79 | 7,102 | [147th of 224] |
Female population > Age 75-79 > % of the total | 0.22 | [208th of 224] |
Female population > Age 80-84 | 2,842 | [162nd of 224] |
Female population > Age 80-84 > % of the total | 0.09 | [221st of 224] |
Gender development | 0.429 | [123rd of 141] |
Male population > Age 10-14 | 203,263 | [113rd of 224] |
Male population > Age 10-14 > % of the total | 6.4 | [32nd of 224] |
Male population > Age 15-19 | 170,061 | [120th of 224] |
Male population > Age 15-19 > % of the total | 5.35 | [81st of 224] |
Male population > Age 20-24 | 141,073 | [132nd of 224] |
Male population > Age 20-24 > % of the total | 4.44 | [117th of 224] |
Male population > Age 25-29 | 117,565 | [135th of 224] |
Male population > Age 25-29 > % of the total | 3.7 | [148th of 224] |
Male population > Age 30-34 | 97,188 | [136th of 224] |
Male population > Age 30-34 > % of the total | 3.06 | [194th of 224] |
Male population > Age 35-39 | 82,688 | [137th of 224] |
Male population > Age 35-39 > % of the total | 2.6 | [188th of 224] |
Male population > Age 40-44 | 69,869 | [140th of 224] |
Male population > Age 40-44 > % of the total | 2.2 | [179th of 224] |
Male population > Age 45-49 | 53,406 | [141st of 224] |
Male population > Age 45-49 > % of the total | 1.68 | [188th of 224] |
Male population > Age 50-54 | 38,521 | [145th of 224] |
Male population > Age 50-54 > % of the total | 1.21 | [193rd of 224] |
Male population > Age 55-59 | 28,346 | [146th of 224] |
Male population > Age 55-59 > % of the total | 0.89 | [197th of 224] |
Male population > Age 60-64 | 19,691 | [146th of 224] |
Male population > Age 60-64 > % of the total | 0.62 | [206th of 224] |
Male population > Age 65-69 | 13,475 | [148th of 224] |
Male population > Age 65-69 > % of the total | 0.42 | [218th of 224] |
Male population > Age 70-74 | 8,520 | [150th of 224] |
Male population > Age 70-74 > % of the total | 0.27 | [220th of 224] |
Male population > Age 75-79 | 4,397 | [153rd of 224] |
Male population > Age 75-79 > % of the total | 0.14 | [221st of 224] |
Male population > Age 80-84 | 1,650 | [167th of 224] |
Male population > Age 80-84 > % of the total | 0.05 | [223rd of 224] |
Median age > Female | 17.4 years | [206th of 224] |
Median age > Male | 16.9 years | [205th of 224] |
Median age > Total | 17.2 years | [206th of 224] |
Nationality > Adjective | Mauritanian | |
Nationality > Noun | Mauritanian(s) | |
Percentage living in rural areas. | 38% | [116th of 193] |
Percentage living in urban areas | 62% | [86th of 199] |
Population | 3,364,940 | [132nd of 242] |
Population > CIA Factbook | 3,364,940 | [132nd of 240] |
Population ages 0-14 > % of total | 43.02 % | [27th of 185] |
Population ages 15-64 > % of total | 53.58 % | [157th of 185] |
Population ages 65 and above > % of total | 3.4 % | [137th of 185] |
Population growth > annual % | 2.92 annual % | [22nd of 195] |
Population growth rate | 2.852% | [20th of 235] |
Population in 2015 | 3,988 | [126th of 225] |
Population, female > % of total | 50.5 % | [84th of 190] |
Projected population growth | 207.91% | [8th of 141] |
Rights of the Child Convention > Ratification Dates | 16 May 1991 | |
Rights of the Child Convention > Signatories | 26 Jan 1990 | |
Rural population | 1,828,970 | [111st of 193] |
Rural population (per capita) | 0.596 per capita | [59th of 194] |
Rural population growth > annual % | 2.79 annual % | [12th of 193] |
Sex ratio > 15-64 years | 0.97 | [163rd of 223] |
Sex ratio > 15-64 years | 0.98 male(s)/female | [159th of 224] |
Sex ratio > 65 years and over | 0.66 male(s)/female | [192nd of 223] |
Sex ratio > At birth | 1.03 male(s)/female | [194th of 223] |
Sex ratio > sex ratios > 15–65 | 0.97 | [161st of 215] |
Sex ratio > sex ratios > at birth | 1.03 | [169th of 215] |
Sex ratio > sex ratios > over 65 | 0.67 | [175th of 215] |
Sex ratio > sex ratios > total | 0.98 | [125th of 215] |
Sex ratio > sex ratios > under 15 | 1.01 | [195th of 215] |
Sex ratio > Total population | 0.98 male(s)/female | [134th of 224] |
Sex ratio > Under 15 years | 1 male(s)/female | [214th of 224] |
Total fertility rate | 5.69 children born/woman | [15th of 225] |
Total Population | 3,177,388 | [132nd of 227] |
Total population > Age 10-14 | 408,134 | [112nd of 224] |
Total population > Age 10-14 > % of the total | 12.84 | [22nd of 224] |
Total population > Age 15-19 | 342,395 | [120th of 224] |
Total population > Age 15-19 > % of the total | 10.78 | [70th of 224] |
Total population > Age 20-24 | 284,176 | [132nd of 224] |
Total population > Age 20-24 > % of the total | 8.94 | [108th of 224] |
Total population > Age 25-29 | 236,096 | [136th of 224] |
Total population > Age 25-29 > % of the total | 7.43 | [141st of 224] |
Total population > Age 30-34 | 193,589 | [136th of 224] |
Total population > Age 30-34 > % of the total | 6.09 | [192nd of 224] |
Total population > Age 35-39 | 164,550 | [135th of 224] |
Total population > Age 35-39 > % of the total | 5.18 | [190th of 224] |
Total population > Age 40-44 | 137,805 | [138th of 224] |
Total population > Age 40-44 > % of the total | 4.34 | [184th of 224] |
Total population > Age 45-49 | 108,269 | [139th of 224] |
Total population > Age 45-49 > % of the total | 3.41 | [191st of 224] |
Total population > Age 50-54 | 82,244 | [143rd of 224] |
Total population > Age 50-54 > % of the total | 2.59 | [201st of 224] |
Total population > Age 55-59 | 63,086 | [143rd of 224] |
Total population > Age 55-59 > % of the total | 1.99 | [199th of 224] |
Total population > Age 60-64 | 46,030 | [143rd of 224] |
Total population > Age 60-64 > % of the total | 1.45 | [203rd of 224] |
Total population > Age 65-69 | 32,609 | [143rd of 224] |
Total population > Age 65-69 > % of the total | 1.03 | [213rd of 224] |
Total population > Age 70-74 | 21,159 | [149th of 224] |
Total population > Age 70-74 > % of the total | 0.67 | [218th of 224] |
Total population > Age 75-79 | 11,499 | [151st of 224] |
Total population > Age 75-79 > % of the total | 0.36 | [220th of 224] |
Total population > Age 80-84 | 4,492 | [165th of 224] |
Total population > Age 80-84 > % of the total | 0.14 | [223rd of 224] |
Total Population > Female | 1,604,562 | [131st of 227] |
Total Population > Male | 1,572,826 | [133rd of 227] |
Urban population | 1,239,772 | [136th of 195] |
Urban population (per capita) | 0.404 per capita | [135th of 196] |
Urban population growth > annual % | 3.12 annual % | [51st of 195] |
Urbanization | 59 | [93rd of 204] |
Urbanization in 1975 | 20.3% | [128th of 164] |
Urbanization in 2015 | 73.8% | [49th of 164] |
Women > Adult literacy rate females as a % of males | 59 | [128th of 144] |
Women > Antenatal care coverage % | 64 | [112nd of 133] |
Women > Contraceptive prevalence % | 8 | [163rd of 170] |
Women > Life expectancy females as a % of males | 106 | [103rd of 173] |
Women > Maternal mortality ratio > reported | 750 | [11th of 154] |
Women > Maternal mortality ratio adjusted | 1,000 | [14th of 166] |
Women > Skilled attendant at delivery % | 57 | [132nd 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;
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
Mauritania,
Islamic Republic of Mauritania, Al Jumhuriyah al Islamiyah al Muritaniyah,
Muritaniyah
Mortality
Death rate, crude > per 1,000 people | 13.37 per 1,000 people | [38th of 195] |
rate, adult, female > per 1,000 female adults | 284.34 per 1,000 female adults | [42nd of 185] |
rate, adult, male > per 1,000 male adults | 341.33 per 1,000 male adults | [44th of 185] |
rate, infant > per 1,000 live births | 78 per 1,000 live births | [37th of 187] |
rate, under-5 > per 1,000 | 125 per 1,000 | [31st of 187] |
SOURCES
World Development
Indicators database
ALTERNATIVE NAMES
Mauritania,
Islamic Republic of Mauritania, Al Jumhuriyah al Islamiyah al Muritaniyah,
Muritaniyah
Immigration
immigrant population > Immigrants as percentage of state population | 2.151 | [120th of 195] |
immigrant population > Number of immigrants | 66,000 | [130th of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.1% | |
International migration stock > % of population | 2.15 % | [130th of 205] |
International migration stock, total | 65,889 | [133rd of 205] |
Net migration | 30,000 | [54th of 180] |
Net migration (per capita) | 9.776 per 1 million people | [41st of 185] |
Net migration rate | 0 migrant(s)/1,000 populati | [127th of 225] |
Refugee population by country or territory of asylum | 632 | [111st of 151] |
Refugee population by country or territory of asylum (per capita) | 205.948 per 1 million people | [91st of 162] |
Refugee population by country or territory of origin | 31,651 | [33rd of 77] |
Refugee population by country or territory of origin (per capita) | 10.314 per 1 million people | [15th of 77] |
Refugees | 40,800 | [46th of 110] |
Refugees (per capita) | 13.2167 per 1,000 people | [19th of 110] |
Refugees > Convention on refugees | 5 May 1987 a | |
Refugees > Outflow | 30,000 | [23rd of 76] |
Refugees > Outflow (per capita) | 9.71817 per 1,000 people | [10th of 76] |
US visa lottery winners | 25 US visa lottery winners | [112nd of 178] |
US visa lottery winners (per capita) | 8.09848 US visa lottery winners | [109th of 176] |
Other articles in this category |
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Mauritania at a glance |
Geography |
History |
Culture |
Economy(1) |
Economy(2) |
Politics |
Military |