1)
Natural geography
Area > Comparative slightly smaller than South Carolina |
||
Area > Comparative to US places slightly smaller than South Carolina |
||
Area > Land | 71,620 sq km | [117th of 238] |
Area > Land (per capita) | 11.378 sq km per 1,000 people | [122nd of 227] |
Area > Total | 71,740 sq km | [123rd of 250] |
Area > Total (per capita) | 11.397 sq km per 1,000 people | [126th of 231] |
Area > Water | 120 sq km | [135th of 239] |
Area > Water (per capita) | 19.063 sq km per million people | [134th of 225] |
Capital city with population | Freetown - 1,300,000 | |
Climate tropical; hot, humid; summer rainy season (May to December); winter dry season (December to April) |
||
Coastline | 402 km | [127th of 271] |
Elevation extremes > Highest point Loma Mansa (Bintimani) 1,948 m |
||
Elevation extremes > Lowest point | Atlantic Ocean 0 m | |
Forested Land | 14.7% | [132nd of 193] |
Geographic coordinates | 8 30 N, 11 30 W | |
Geography > Note rainfall along the coast can reach 495 cm (195 inches) a year, making it one of the wettest places along coastal, western Africa |
||
Irrigated land | 300 sq km | [119th of 196] |
Irrigated land (per capita) | 58.603 sq km per million people | [120th of 167] |
Land area > sq. km | 71,620 km² | [117th of 206] |
Land area > sq. km (per capita) | 12.962 km² per 1,000 people | [104th of 206] |
land border lengths > P-S > Number of neighbours | 2 | [19th of 26] |
land border lengths > P-S > Total Borders | 958 km | [21st of 27] |
Land boundaries > Border countries Guinea 652 km, Liberia 306 km |
||
Land boundaries > Total | 958 km | [121st of 166] |
Land boundaries > Total (per capita) | 152.19 km per million people | [100th of 164] |
Land use > Arable land | 7.95% | [127th of 258] |
Land use > Other | 91% | [104th of 258] |
Land use > Permanent crops | 1.05% | [114th of 258] |
Largest city | Freetown | |
Largest city population | 699,000 | [102nd of 174] |
Largest city population (per capita) | 0.119 per capita | [103rd of 174] |
Largest city with population | Freetown - 1,300,000 | |
Location Western Africa, bordering the North Atlantic Ocean, between Guinea and Liberia |
||
Map references Africa |
||
Maritime claims > Contiguous zone | 24 nautical mile | [10th of 83] |
Maritime claims > Continental shelf | 200 nm | |
Maritime claims > Exclusive economic zone | 200 nautical mile | [16th of 123] |
Maritime claims > Territorial sea | 12 nautical mile | [101st of 191] |
Natural hazards dry, sand-laden harmattan winds blow from the Sahara (December to February); sandstorms, dust storms |
||
Natural resources diamonds, titanium ore, bauxite, iron ore, gold, chromite |
||
Population density | 73.95 people per sqkm | [117th of 256] |
Population density > people per sq. km | 77.15 people/m² | [102nd of 204] |
Precipitation | 2,946 mm | [3rd of 95] |
Rural population density > rural population per sq. km of arable land | 545.87 people/km² of arable lan | [47th of 188] |
Surface area > sq. km | 71,740 km² | [117th of 206] |
Surface area > sq. km (per capita) | 12.983 km² per 1,000 people | [104th of 207] |
tallest mountains > Mountain Loma Mansa (Bintimani) |
||
Terrain coastal belt of mangrove swamps, wooded hill country, upland plateau, mountains in east |
SOURCES
CIA World Factbook, 22 August 2006 ; All
CIA World Factbooks 18 December 2003 to 18 December
2008; United Nations
World Statistics Pocketbook and
Statistical Yearbook,
City Population,
CIA World Factbook,
World
Gazetteer, Official government websites.; FAO;
World Development Indicators database; Wikipedia:
List of land border lengths ; United Nations
World Statistics Pocketbook and
Statistical Yearbook;
Heal The World Foundation.; Wikipedia:
List of tallest mountains by country
ALTERNATIVE NAMES
Sierra Leone,
Republic of Sierra Leone
Environment
Acidification | 0% | [93rd of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 0.5 % of GNI | [66th of 179] |
Adjusted savings: net forest depletion > % of GNI | 1.94 % of GNI | [11th of 57] |
Adjusted savings: particulate emission damage > % of GNI | 1.05 % of GNI | [27th of 165] |
Areas under protection | 6 | [126th of 146] |
Areas under protection (per capita) | 1.02267 per 1 million people | [107th of 146] |
Breeding birds threatened | 2.15% | [75th of 136] |
Carbon efficiency | 0.6 CO2 emissions/$ GDP | [106th of 141] |
CO2 Emissions | 572 | [147th of 178] |
CO2 Emissions (per capita) | 0.0974945 per 1,000 people | [161st of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.19 kg/PPP$ | [125th of 170] |
CO2 emissions > kt | 652.01 kt | [161st of 195] |
CO2 emissions > kt (per capita) | 0.127 kt per 1,000 people | [178th of 196] |
CPIA policy and institutions for environmental sustainability rating | 2.5 | [69th of 75] |
Current issues rapid population growth pressuring the environment; overharvesting of timber, expansion of cattle grazing, and slash-and-burn agriculture have resulted in deforestation and soil exhaustion; civil war depleted natural resources; overfishing |
||
Ecological footprint | 0.73 | [139th of 141] |
Endangered species protection | 25% | [104th of 141] |
Fertiliser consumption | 61.98 hundred grams/hectare | [118th of 141] |
Forest area > % of land area | 38.45 % of land area | [67th of 195] |
Forest area > sq. km | 27,540 km² | [92nd of 195] |
Forest area > sq. km (per capita) | 4,984.184 km² per 1,000 people | [76th of 195] |
Freshwater withdrawal | 0.38 | [97th of 124] |
Freshwater withdrawal > Agricultural | 92% | [25th of 124] |
Freshwater withdrawal > Domestic | 5% | [95th of 124] |
Freshwater withdrawal > Industrial | 3% | [77th of 124] |
Groundwater withdrawals | 0 | [135th of 188] |
International agreements > Party to Biodiversity, Climate Change, Climate Change-Kyoto Protocol, Desertification, Endangered Species, Law of the Sea, Marine Life Conservation, Ozone Layer Protection, Ship Pollution, Wetlands |
||
International agreements > Signed but not
ratified Environmental Modification |
||
Known breeding bird species | 172 | [100th of 146] |
Known breeding bird species (per capita) | 29.3165 per 1 million people | [52nd of 146] |
Known mammal species | 147 | [62nd of 145] |
Known mammal species (per capita) | 25.0554 per 1 million people | [30th of 145] |
Marine fish catch | 41,909 tons | [68th of 141] |
Marine fish catch (per capita) | 7.14317 tons per 1,000 people | [56th of 141] |
Non-wildness | 4.7% | [53rd of 141] |
NOx emissions per populated area | 0.48 thousand metric tons/squ | [34th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 4,170.48 kg/day | [97th of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.32 kg per day per worker | [3rd of 115] |
PM10, country level > micrograms per cubic meter | 55.68 mcg/m³ | [55th of 185] |
Pollution > Carbon dioxide 1999 | 148 | [156th of 199] |
Protected area | 1.1 | [125th of 147] |
SO2 emissions per populated area | 2,080 thousand metric tons/squ | [29th of 141] |
SO2 exports | 246.76 hundred metric tons | [122nd of 141] |
Threatened species | 28 | [71st of 158] |
Threatened species > Mammal | 9 | [97th of 160] |
Total renewable water resources | 160 cu km | [7th of 31] |
Urban NO2 concentration | 68.27 micrograms/m3 | [25th of 141] |
Urban SO2 concentration | 155.89 micrograms/m3 | [2nd of 141] |
Water > Availability | 21.97 thousand cubic metres | [25th of 141] |
Water > Dissolved oxygen concentration | 6.07 mls/litre | [115th of 141] |
Water > Phosphorus concentration | 0.36 mls/litre | [59th of 141] |
Water > Salinisation | 350.5 | [103rd of 141] |
Water > Severe water stress | 0 | [107th of 140] |
Water > Suspended solids | 5.9 mls/litre | [42nd of 141] |
Water pollution, chemical industry > % of total BOD emissions | 2.97 % | [100th of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.08 % | [103rd of 112] |
Water pollution, food industry > % of total BOD emissions | 82.33 % | [3rd of 114] |
Water pollution, other industry > % of total BOD emissions | 1 % | [84th of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 9.6 % | [68th of 111] |
Water pollution, textile industry > % of total BOD emissions | 2 % | [108th of 114] |
Water pollution, wood industry > % of total BOD emissions | 2.23 % | [46th of 114] |
Wetlands of intl importance > Area | 295 thousand hectares | [42nd of 112] |
Wetlands of intl importance > Area (per capita) | 50.2812 thousand hectares per 1 m | [25th of 112] |
Wildness | 0% | [128th 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; 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
Sierra Leone,
Republic of Sierra Leone
2) Human geography
Age distribution
Labor
Compensation of employees > % of expense | 25.98 % | [42nd of 97] |
Compensation of employees > current LCU | 178751600000 | |
CPIA building human resources rating | 3 | [61st of 75] |
Economic activity > Both sexes aged 10-14 | 13.9 | [54th of 89] |
Economic activity > Both sexes aged 15-19 | 41.54 | [70th of 167] |
Economic activity > Both sexes aged 20-24 | 66.47 | [131st of 166] |
Economic activity > Both sexes aged 25-29 | 73.76 | [131st of 167] |
Economic activity > Both sexes aged 30-34 | 74.16 | [137th of 165] |
Economic activity > Both sexes aged 35-39 | 74.38 | [135th of 166] |
Economic activity > Both sexes aged 40-44 | 73.32 | [131st of 167] |
Economic activity > Both sexes aged 45-49 | 71.84 | [124th of 163] |
Economic activity > Both sexes aged 50-54 | 70.01 | [106th of 166] |
Economic activity > Both sexes aged 55-59 | 65.43 | [70th of 166] |
Economic activity > Both sexes aged 60-64 | 54.43 | [67th of 166] |
Economic activity > Both sexes aged 65 plus | 35.23 | [54th of 165] |
Economic activity > Men aged 10-14 | 14.19 | [57th of 92] |
Economic activity > Men aged 15-19 | 51.11 | [65th of 164] |
Economic activity > Men aged 20-24 | 84.16 | [75th of 166] |
Economic activity > Men aged 25-29 | 96.31 | [44th of 165] |
Economic activity > Men aged 30-34 | 96.87 | [101st of 165] |
Economic activity > Men aged 35-39 | 96.93 | [120th of 164] |
Economic activity > Men aged 40-44 | 96.68 | [102nd of 163] |
Economic activity > Men aged 45-49 | 96.08 | [76th of 167] |
Economic activity > Men aged 50-54 | 94.92 | [49th of 165] |
Economic activity > Men aged 55-59 | 89.29 | [69th of 167] |
Economic activity > Men aged 60-64 | 81.62 | [51st of 165] |
Economic activity > Men aged 65 plus | 57.01 | [43rd of 162] |
Economic activity > Women aged 10-14 | 13.61 | [50th of 89] |
Economic activity > Women aged 15-19 | 32.16 | [75th of 164] |
Economic activity > Women aged 20-24 | 49.29 | [128th of 166] |
Economic activity > Women aged 25-29 | 51.9 | [129th of 165] |
Economic activity > Women aged 30-34 | 52.27 | [134th of 167] |
Economic activity > Women aged 35-39 | 52.79 | [129th of 165] |
Economic activity > Women aged 40-44 | 51.26 | [122nd of 165] |
Economic activity > Women aged 45-49 | 49.44 | [117th of 161] |
Economic activity > Women aged 50-54 | 47.26 | [107th of 166] |
Economic activity > Women aged 55-59 | 44.34 | [75th of 167] |
Economic activity > Women aged 60-64 | 31.15 | [70th of 165] |
Economic activity > Women aged 65 plus | 18.34 | [60th of 167] |
Economically active children, female | 72.7 % | [1st of 34] |
Economically active children, male | 72.5 % | [3rd of 34] |
Economically active children, study and work | 46.2 % | [29th of 34] |
Economically active children, study and work, female | 43.5 % | [28th of 34] |
Economically active children, study and work, male | 48.7 % | [30th of 34] |
Economically active children, total | 74 % | [1st of 34] |
Economically active children, work only | 53.8 % | [6th of 34] |
Economically active children, work only, female | 56.5 % | [7th of 33] |
Economically active children, work only, male | 51.3 % | [5th of 34] |
Female economic activity | 44.6% | [108th of 156] |
Female economic activity growth | 5% | [68th of 156] |
Firing cost > weeks of wages | 328.7 weeks of wages | [2nd of 164] |
force participation rate, female > % of female population ages 15-64 | 58.38 % | [88th of 184] |
force participation rate, male > % of male population ages 15-64 | 94.49 % | [3rd of 184] |
force participation rate, total > % of total population ages 15-64 | 76.13 % | [38th of 184] |
force, female > % of total labor force | 38.46 % | [129th of 184] |
force, total | 2,357,038 | [105th of 184] |
force, total (per capita) | 0.427 per capita | [114th of 184] |
Labor force > A note only about 65,000 wage earners (1985) (1981 est.) |
||
Labor force > By occupation agriculture NA, industry NA, services NA |
||
Regulation | 67 | [14th of 123] |
Regulation > Employment Conditions | 84 | [40th of 123] |
Regulation > Firing | 62 | [15th of 123] |
Regulation > Hiring | 56 | [48th of 123] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | June 13, 1961 | |
Rigidity of employment index | 63 | [13th of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 21.2 % | [139th of 174] |
Workers' remittances and compensation of employees, paid > US$ | 2,000,000 $ | [136th of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 1.677 $ per $1,000 of GDP | [100th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 0.362 $ per 1,000 people | [137th of 167] |
Workers' remittances and compensation of employees, received > US$ | 2,000,000 $ | [151st of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 1.677 $ per $1,000 of GDP | [136th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 0.362 $ per capita | [153rd of 167] |
Workers' remittances, receipts > BoP, current US$ | 2,348,588 BoP $ | [91st of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 1.969 BoP $ per $1 million of | [69th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 0.425 BoP $ per 1,000 people | [95th 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; CIA World Factbook, December 2003; All
CIA World Factbooks 18 December 2003 to 18 December
2008;
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
Sierra Leone, Republic of Sierra Leone
People
African countries by population density > area | 71,740 | [39th of 56] |
African countries by population density > pop. dens. | 78 | [16th of 56] |
African countries by population density > population | 5,614,743 | [32nd of 56] |
Age dependency ratio > dependents to working-age population | 0.86 | [28th of 185] |
Age structure > 0-14 years | 44.8 % | [16th of 225] |
Age structure > 0-14 years | 44.7 | [18th of 226] |
Age structure > 0-14 years > Females | 1,429,993 | [83rd of 225] |
Age structure > 0-14 years > From total | 44.6% | [20th of 227] |
Age structure > 0-14 years > Males | 1,377,981 | [84th of 225] |
Age structure > 15-64 years | 52 | [213rd of 226] |
Age structure > 15-64 years | 52 % | [212nd of 225] |
Age structure > 15-64 years > Females | 1,708,840 | [111st of 225] |
Age structure > 15-64 years > From total | 52.2% | [208th of 227] |
Age structure > 15-64 years > Males | 1,573,990 | [116th of 225] |
Age structure > 65 years and over | 3.2 % | [177th of 225] |
Age structure > 65 years and over > Females | 109,611 | [133rd of 225] |
Age structure > 65 years and over > From total | 3.2% | [174th of 227] |
Age structure > 65 years and over > Males | 94,359 | [127th of 225] |
Birth rate | 45.08 births/1,000 population | [5th of 226] |
Child Protection > Birth registration, % of rural | 40 | [40th of 52] |
Child Protection > Birth registration, % of total | 46 | [42nd of 56] |
Child Protection > Birth registration, % of urban | 66 | [37th of 52] |
Child Protection > Child labour 5-14 years, % of female | 57 | [3rd of 46] |
Child Protection > Child labour 5-14 years, % of male | 57 | [4th of 46] |
Child Protection > Child labour 5-14 years, % of poorest 20% | 65 | [3rd of 43] |
Child Protection > Child labour 5-14 years, % of richest 20% | 45 | [2nd of 43] |
Child Protection > Child labour 5-14 years, % of rural | 60 | [6th of 42] |
Child Protection > Child labour 5-14 years, % of total | 57 | [4th of 46] |
Child Protection > Child labour 5-14 years, % of urban | 48 | [1st of 42] |
Chinese population | 20 | [123rd of 127] |
Chinese population (per capita) | 0.341 per 100,000 people | [115th of 126] |
CPIA social protection rating | 3 | [56th of 75] |
Death rate | 22.26 deaths/1,000 population | [4th of 226] |
Education expenditures | 3.8 % of GDP | [38th of 55] |
Ethnic groups 20 African ethnic groups 90% (Temne 30%, Mende 30%, other 30%), Creole (Krio) 10% (descendants of freed Jamaican slaves who were settled in the Freetown area in the late-18th century), refugees from Liberia's recent civil war, small numbers of Europeans, Lebanese, Pakistanis, and Indians |
||
Female population > Age 10-14 | 384,863 | [86th of 224] |
Female population > Age 10-14 > % of the total | 6.41 | [18th of 224] |
Female population > Age 15-19 | 326,598 | [91st of 224] |
Female population > Age 15-19 > % of the total | 5.44 | [59th of 224] |
Female population > Age 20-24 | 270,040 | [101st of 224] |
Female population > Age 20-24 > % of the total | 4.5 | [102nd of 224] |
Female population > Age 25-29 | 224,353 | [108th of 224] |
Female population > Age 25-29 > % of the total | 3.74 | [125th of 224] |
Female population > Age 30-34 | 187,809 | [111st of 224] |
Female population > Age 30-34 > % of the total | 3.13 | [166th of 224] |
Female population > Age 35-39 | 167,350 | [111st of 224] |
Female population > Age 35-39 > % of the total | 2.79 | [164th of 224] |
Female population > Age 40-44 | 125,069 | [124th of 224] |
Female population > Age 40-44 > % of the total | 2.08 | [190th of 224] |
Female population > Age 45-49 | 90,038 | [128th of 224] |
Female population > Age 45-49 > % of the total | 1.5 | [212nd of 224] |
Female population > Age 50-54 | 88,063 | [125th of 224] |
Female population > Age 50-54 > % of the total | 1.47 | [184th of 224] |
Female population > Age 55-59 | 81,839 | [115th of 224] |
Female population > Age 55-59 > % of the total | 1.36 | [145th of 224] |
Female population > Age 60-64 | 64,574 | [114th of 224] |
Female population > Age 60-64 > % of the total | 1.08 | [140th of 224] |
Female population > Age 65-69 | 47,197 | [123rd of 224] |
Female population > Age 65-69 > % of the total | 0.79 | [155th of 224] |
Female population > Age 70-74 | 29,459 | [131st of 224] |
Female population > Age 70-74 > % of the total | 0.49 | [179th of 224] |
Female population > Age 75-79 | 16,047 | [134th of 224] |
Female population > Age 75-79 > % of the total | 0.27 | [184th of 224] |
Female population > Age 80-84 | 9,070 | [141st of 224] |
Female population > Age 80-84 > % of the total | 0.15 | [205th of 224] |
Male population > Age 10-14 | 365,767 | [90th of 224] |
Male population > Age 10-14 > % of the total | 6.09 | [55th of 224] |
Male population > Age 15-19 | 308,671 | [101st of 224] |
Male population > Age 15-19 > % of the total | 5.14 | [98th of 224] |
Male population > Age 20-24 | 254,023 | [106th of 224] |
Male population > Age 20-24 > % of the total | 4.23 | [131st of 224] |
Male population > Age 25-29 | 211,720 | [111st of 224] |
Male population > Age 25-29 > % of the total | 3.53 | [179th of 224] |
Male population > Age 30-34 | 179,844 | [114th of 224] |
Male population > Age 30-34 > % of the total | 2.99 | [206th of 224] |
Male population > Age 35-39 | 154,548 | [116th of 224] |
Male population > Age 35-39 > % of the total | 2.57 | [193rd of 224] |
Male population > Age 40-44 | 115,196 | [125th of 224] |
Male population > Age 40-44 > % of the total | 1.92 | [206th of 224] |
Male population > Age 45-49 | 83,371 | [128th of 224] |
Male population > Age 45-49 > % of the total | 1.39 | [209th of 224] |
Male population > Age 50-54 | 72,344 | [128th of 224] |
Male population > Age 50-54 > % of the total | 1.2 | [195th of 224] |
Male population > Age 55-59 | 62,846 | [124th of 224] |
Male population > Age 55-59 > % of the total | 1.05 | [180th of 224] |
Male population > Age 60-64 | 51,939 | [118th of 224] |
Male population > Age 60-64 > % of the total | 0.86 | [157th of 224] |
Male population > Age 65-69 | 39,933 | [122nd of 224] |
Male population > Age 65-69 > % of the total | 0.66 | [161st of 224] |
Male population > Age 70-74 | 26,696 | [124th of 224] |
Male population > Age 70-74 > % of the total | 0.44 | [170th of 224] |
Male population > Age 75-79 | 15,527 | [129th of 224] |
Male population > Age 75-79 > % of the total | 0.26 | [173rd of 224] |
Male population > Age 80-84 | 8,802 | [132nd of 224] |
Male population > Age 80-84 > % of the total | 0.15 | [183rd of 224] |
Median age > Female | 17.8 years | [199th of 224] |
Median age > Male | 17.2 years | [202nd of 224] |
Median age > Total | 17.5 years | [202nd of 224] |
Nationality > Adjective | Sierra Leonean | |
Nationality > Noun | Sierra Leonean(s) | |
Percentage living in rural areas. | 61% | [56th of 193] |
Percentage living in urban areas | 39% | [144th of 199] |
Population | 6,294,774 | [103rd of 242] |
Population > CIA Factbook | 6,294,774 | [103rd of 240] |
Population ages 0-14 > % of total | 42.82 % | [29th of 185] |
Population ages 15-64 > % of total | 53.84 % | [156th of 185] |
Population ages 65 and above > % of total | 3.34 % | [140th of 185] |
Population growth > annual % | 3.48 annual % | [7th of 195] |
Population growth rate | 2.282% | [45th of 235] |
Population in 2015 | 6,897 | [106th of 225] |
Population in largest city | 799,244 | [116th of 118] |
Population in largest city (per capita) | 0.145 per capita | [59th of 118] |
Population in the largest city > % of urban population | 35.54 % | [42nd of 118] |
Population, female > % of total | 50.7 % | [68th of 190] |
Projected population growth | 188.69% | [10th of 141] |
Rights of the Child Convention > Ratification Dates | 18 Jun 1990 | |
Rights of the Child Convention > Signatories | 13 Feb 1990 | |
Rural population | 3,276,609 | [89th of 193] |
Rural population (per capita) | 0.593 per capita | [61st of 194] |
Rural population growth > annual % | 2.24 annual % | [24th of 193] |
Sex ratio > 15-64 years | 0.91 | [218th of 223] |
Sex ratio > 15-64 years | 0.92 male(s)/female | [208th of 224] |
Sex ratio > 65 years and over | 0.86 male(s)/female | [64th of 223] |
Sex ratio > At birth | 1.03 male(s)/female | [186th of 223] |
Sex ratio > sex ratios > 15–65 | 0.92 | [201st of 215] |
Sex ratio > sex ratios > at birth | 1.03 | [187th of 215] |
Sex ratio > sex ratios > over 65 | 0.89 | [47th of 215] |
Sex ratio > sex ratios > total | 0.94 | [187th of 215] |
Sex ratio > sex ratios > under 15 | 0.96 | [215th of 215] |
Sex ratio > Total population | 0.94 male(s)/female | [191st of 224] |
Sex ratio > Under 15 years | 0.96 male(s)/female | [219th of 224] |
Total fertility rate | 5.95 children born/woman | [12th of 225] |
Total Population | 6,005,250 | [103rd of 227] |
Total population > Age 10-14 | 750,630 | [88th of 224] |
Total population > Age 10-14 > % of the total | 12.5 | [39th of 224] |
Total population > Age 15-19 | 635,269 | [95th of 224] |
Total population > Age 15-19 > % of the total | 10.58 | [80th of 224] |
Total population > Age 20-24 | 524,063 | [103rd of 224] |
Total population > Age 20-24 > % of the total | 8.73 | [121st of 224] |
Total population > Age 25-29 | 436,073 | [109th of 224] |
Total population > Age 25-29 > % of the total | 7.26 | [156th of 224] |
Total population > Age 30-34 | 367,653 | [111st of 224] |
Total population > Age 30-34 > % of the total | 6.12 | [188th of 224] |
Total population > Age 35-39 | 321,898 | [113rd of 224] |
Total population > Age 35-39 > % of the total | 5.36 | [181st of 224] |
Total population > Age 40-44 | 240,265 | [124th of 224] |
Total population > Age 40-44 > % of the total | 4 | [201st of 224] |
Total population > Age 45-49 | 173,409 | [128th of 224] |
Total population > Age 45-49 > % of the total | 2.89 | [215th of 224] |
Total population > Age 50-54 | 160,407 | [125th of 224] |
Total population > Age 50-54 > % of the total | 2.67 | [194th of 224] |
Total population > Age 55-59 | 144,685 | [117th of 224] |
Total population > Age 55-59 > % of the total | 2.41 | [161st of 224] |
Total population > Age 60-64 | 116,513 | [116th of 224] |
Total population > Age 60-64 > % of the total | 1.94 | [147th of 224] |
Total population > Age 65-69 | 87,130 | [122nd of 224] |
Total population > Age 65-69 > % of the total | 1.45 | [158th of 224] |
Total population > Age 70-74 | 56,155 | [128th of 224] |
Total population > Age 70-74 > % of the total | 0.94 | [172nd of 224] |
Total population > Age 75-79 | 31,574 | [133rd of 224] |
Total population > Age 75-79 > % of the total | 0.53 | [178th of 224] |
Total population > Age 80-84 | 17,872 | [137th of 224] |
Total population > Age 80-84 > % of the total | 0.3 | [194th of 224] |
Total Population > Female | 3,098,227 | [103rd of 227] |
Total Population > Male | 2,907,023 | [105th of 227] |
Urban population | 2,248,870 | [119th of 195] |
Urban population (per capita) | 0.407 per capita | [134th of 196] |
Urban population growth > annual % | 5.32 annual % | [7th of 195] |
Urbanization | 37 | [152nd of 204] |
Urbanization in 1975 | 21.4% | [125th of 164] |
Urbanization in 2015 | 46.7% | [114th of 164] |
Women > Adult literacy rate females as a % of males | 45 | [138th of 144] |
Women > Antenatal care coverage % | 68 | [105th of 133] |
Women > Contraceptive prevalence % | 4 | [170th of 170] |
Women > Life expectancy females as a % of males | 109 | [44th of 173] |
Women > Maternal mortality ratio > reported | 1,800 | [1st of 154] |
Women > Maternal mortality ratio adjusted | 2,000 | [1st of 166] |
Women > Skilled attendant at delivery % | 42 | [149th 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 ; 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
Sierra Leone,
Republic of Sierra Leone
Mortality
Death rate, crude > per 1,000 people | 22.95 per 1,000 people | [3rd of 195] |
rate, adult, female > per 1,000 female adults | 378.8 per 1,000 female adults | [31st of 185] |
rate, adult, male > per 1,000 male adults | 431.77 per 1,000 male adults | [31st of 185] |
rate, infant > per 1,000 live births | 165 per 1,000 live births | [1st of 187] |
rate, under-5 > per 1,000 | 282 per 1,000 | [1st of 187] |
SOURCES
World Development Indicators database
ALTERNATIVE NAMES
Sierra Leone,
Republic of Sierra Leone
Immigration
immigrant population > Immigrants as percentage of state population | 2.154 | [119th of 195] |
immigrant population > Number of immigrants | 119,000 | [116th of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.1% | |
International migration stock > % of population | 2.16 % | [128th of 205] |
International migration stock, total | 119,162 | [118th of 205] |
Net migration | 438,215 | [10th of 180] |
Net migration (per capita) | 79.308 per 1 million people | [5th of 185] |
Net migration rate | 0 migrant(s)/1,000 populati | [82nd of 225] |
Net migration rate > A note by the end of 1999 refugees from Sierra Leone are assumed to be returning (2002 est.) |
||
Refugee population by country or territory of asylum | 59,965 | [31st of 151] |
Refugee population by country or territory of asylum (per capita) | 10,852.455 per 1 million people | [9th of 162] |
Refugee population by country or territory of origin | 40,477 | [30th of 77] |
Refugee population by country or territory of origin (per capita) | 7.326 per 1 million people | [19th of 77] |
Refugees | 878,300 | [6th of 110] |
Refugees (per capita) | 149.702 per 1,000 people | [2nd of 110] |
Refugees > Convention on refugees | 22 May 1981 a | |
Refugees > Outflow | 401,000 | [4th of 76] |
Refugees > Outflow (per capita) | 68.3484 per 1,000 people | [4th of 76] |
Refugees > US acceptance rates | 8.2 | [44th of 49] |
Refugees > US applications | 3,878 | [7th of 64] |
Refugees > US applications (per capita) | 0.660985 per 1,000 people | [4th of 63] |
Refugees > US applications approved | 317 | [12th of 53] |
Refugees > US applications approved (per capita) | 0.054031 per 1,000 people | [8th of 52] |
Refugees > US applications denied | 763 | [8th of 41] |
Refugees > US applications denied (per capita) | 0.130049 per 1,000 people | [5th of 40] |
Refugees > US applications otherwise closed | 19 | [18th of 39] |
Refugees > US applications otherwise closed (per capita) | 0.00323845 per 1,000 people | [18th of 38] |
Refugees and internally displaced persons > Refugees (country of origin) | 27,311 (Liberia) | |
US visa lottery winners | 2,149 US visa lottery winners | [16th of 178] |
US visa lottery winners (per capita) | 366.286 US visa lottery winners | [8th 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; CIA World Factbook, December 2003; United Nations
World Statistics Pocketbook and
Statistical Yearbook; United Nations Treaty
Collection; UNHCR (United Nations High Commissioner for
Refugees. 2002. Correspondence on refugees and
internally displaced persons. February. Geneva.;
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
ALTERNATIVE NAMES
Sierra Leone,
Republic of Sierra Leone
Other articles in this category |
---|
Sierra Leone at a glance |
Geography |
History |
Culture |
Economy (1) |
Economy (2) |
Politics |
Military |