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 | 1,246,700 sq km | [23rd of 238] |
Area > Land (per capita) | 99.486 sq km per 1,000 people | [22nd of 227] |
Area > Total | 1,246,700 sq km | [29th of 250] |
Area > Total (per capita) | 99.486 sq km per 1,000 people | [23rd of 231] |
Area > Water | 0 sq km | [200th of 239] |
Area > Water (per capita) | 0 sq km per million people | [191st of 225] |
Capital city with population | Luanda - 2,000,000 | |
Climate semiarid in south and along coast to Luanda; north has cool, dry season (May to October) and hot, rainy season (November to April) |
||
Coastline | 1,600 km | [72nd of 271] |
Elevation extremes > Highest point | Morro de Moco 2,620 m | |
Elevation extremes > Lowest point | Atlantic Ocean 0 m | |
Forested Land | 56% | [28th of 193] |
Geographic coordinates | 12 30 S, 18 30 E | |
Geography > Note the province of Cabinda is an exclave, separated from the rest of the country by the Democratic Republic of the Congo |
||
Irrigated land | 800 sq km | [98th of 196] |
Irrigated land (per capita) | 53.167 sq km per million people | [124th of 167] |
Land area > sq. km | 1,246,700 km² | [22nd of 206] |
Land area > sq. km (per capita) | 78.205 km² per 1,000 people | [24th of 206] |
Land boundaries > Border countries Democratic Republic of the Congo 2,511 km (of which 225 km is the boundary of discontiguous Cabinda Province), Republic of the Congo 201 km, Namibia 1,376 km, Zambia 1,110 km |
||
Land boundaries > Total | 5,198 km | [30th of 166] |
Land boundaries > Total (per capita) | 414.799 km per million people | [50th of 164] |
Land use > Arable land | 2.65% | [178th of 258] |
Land use > Other | 97.12% | [58th of 258] |
Land use > Permanent crops | 0.23% | [162nd of 258] |
Largest city | Luanda | |
Largest city population | 2,081,000 | [48th of 174] |
Largest city population (per capita) | 0.176 per capita | [71st of 174] |
Largest city with population | Luanda - 2,000,000 | |
Location Southern Africa, bordering the South Atlantic Ocean, between Namibia and Democratic Republic of the Congo |
||
Map references Africa |
||
Maritime claims > Contiguous zone | 24 nautical mile | [12th of 83] |
Maritime claims > Exclusive economic zone | 200 nautical mile | [22nd of 123] |
Maritime claims > Territorial sea | 12 nautical mile | [104th of 191] |
Natural hazards locally heavy rainfall causes periodic flooding on the plateau |
||
Natural resources petroleum, diamonds, iron ore, phosphates, copper, feldspar, gold, bauxite, uranium |
||
northernmost point > Latitude | 04°24'S | |
Population density | 8.97 people per sqkm | [205th of 256] |
Population density > people per sq. km | 12.79 people/m² | [181st of 204] |
Rural population density > rural population per sq. km of arable land | 218.96 people/km² of arable lan | [105th of 188] |
Surface area > sq. km | 1,246,700 km² | [22nd of 206] |
Surface area > sq. km (per capita) | 78.205 km² per 1,000 people | [27th of 207] |
Terrain narrow coastal plain rises abruptly to vast interior plateau |
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.
ALTERNATIVE NAMES
Angola, Republic of Angola, Republica de Angola
Environment
|
||
Acidification | 1.83% | [40th of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 0.26 % of GNI | [116th of 179] |
Adjusted savings: particulate emission damage > % of GNI | 1.82 % of GNI | [3rd of 165] |
Areas under protection | 14 | [101st of 146] |
Areas under protection (per capita) | 1.18373 per 1 million people | [101st of 146] |
Biodiversity richness | 2 | [25th of 53] |
Breeding birds threatened | 1.96% | [81st of 136] |
Carbon efficiency | 0.54 CO2 emissions/$ GDP | [109th of 141] |
CO2 Emissions | 4,854.4 | [104th of 178] |
CO2 Emissions (per capita) | 0.410451 per 1,000 people | [134th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.3 kg/PPP$ | [90th of 170] |
CO2 emissions > kt | 8,615.38 kt | [96th of 195] |
CO2 emissions > kt (per capita) | 0.573 kt per 1,000 people | [145th of 196] |
CPIA policy and institutions for environmental sustainability rating | 2.5 | [71st of 75] |
Current issues |
||
Ecological footprint | 0.82 | [132nd of 141] |
Endangered species protection | 0% | [137th of 141] |
Fertiliser consumption | 17.33 hundred grams/hectare | [130th of 141] |
Forest area > % of land area | 47.41 % of land area | [43rd of 195] |
Forest area > sq. km | 591,040 km² | [14th of 195] |
Forest area > sq. km (per capita) | 37,075.813 km² per 1,000 people | [18th of 195] |
Freshwater withdrawal | 0.35 | [99th of 124] |
Freshwater withdrawal > Agricultural | 60% | [90th of 124] |
Freshwater withdrawal > Domestic | 23% | [37th of 124] |
Freshwater withdrawal > Industrial | 17% | [24th of 124] |
Groundwater withdrawals | 0 | [173rd of 188] |
International agreements > Party to |
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International agreements > Signed but not ratified none of the selected agreements |
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Known breeding bird species | 265 | [31st of 146] |
Known breeding bird species (per capita) | 22.4064 per 1 million people | [64th of 146] |
Known mammal species | 276 | [19th of 145] |
Known mammal species (per capita) | 23.3364 per 1 million people | [36th of 145] |
Marine areas under protection | 4 | [56th of 95] |
Marine areas under protection (per capita) | 0.338209 per 1 million people | [55th of 95] |
Marine fish catch | 168,466 tons | [47th of 141] |
Marine fish catch (per capita) | 14.2442 tons per 1,000 people | [36th of 141] |
Non-wildness | 0.22% | [123rd of 141] |
NOx emissions per populated area | 0.33 thousand metric tons/squ | [50th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 1,471.98 kg/day | [107th of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.2 kg per day per worker | [44th of 115] |
PM10, country level > micrograms per cubic meter | 91.35 mcg/m³ | [22nd of 185] |
Pollution > Carbon dioxide 1999 | 2,803 | [87th of 199] |
Protected area | 6.6 | [65th of 147] |
SO2 emissions per populated area | 200 thousand metric tons/squ | [96th of 141] |
SO2 exports | 1,032.47 hundred metric tons | [82nd of 141] |
Threatened species | 41 | [48th of 158] |
Threatened species > Mammal | 17 | [44th of 160] |
Total renewable water resources | 184 cu km | [5th of 31] |
Urban NO2 concentration | 62.73 micrograms/m3 | [38th of 141] |
Urban SO2 concentration | 108.55 micrograms/m3 | [20th of 141] |
Water > Availability | 24.24 thousand cubic metres | [21st of 141] |
Water > Dissolved oxygen concentration | 7.69 mls/litre | [72nd of 141] |
Water > Phosphorus concentration | 0.57 mls/litre | [21st of 141] |
Water > Salinisation | 291.46 | [111st of 141] |
Water > Severe water stress | 0 | [134th of 140] |
Water > Suspended solids | 5.32 mls/litre | [62nd of 141] |
Water pollution, chemical industry > % of total BOD emissions | 9.14 % | [31st of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.34 % | [20th of 112] |
Water pollution, food industry > % of total BOD emissions | 65.89 % | [24th of 114] |
Water pollution, metal industry > % of total BOD emissions | 7.59 % | [45th of 94] |
Water pollution, other industry > % of total BOD emissions | 4.08 % | [53rd of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 3 % | [106th of 111] |
Water pollution, textile industry > % of total BOD emissions | 5.53 % | [95th of 114] |
Water pollution, wood industry > % of total BOD emissions | 4.42 % | [15th of 114] |
Wildness | 43.63% | [26th 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
Angola, Republic of Angola, Republica de Angola
2) Human Geography
Age distribution
|
||
CPIA building human resources rating | 2.5 | [72nd of 75] |
Economic activity > Both sexes aged 10-14 | 26.08 | [30th of 89] |
Economic activity > Both sexes aged 15-19 | 74.12 | [3rd of 167] |
Economic activity > Both sexes aged 20-24 | 79.96 | [35th of 166] |
Economic activity > Both sexes aged 25-29 | 85.06 | [59th of 167] |
Economic activity > Both sexes aged 30-34 | 87.44 | [64th of 165] |
Economic activity > Both sexes aged 35-39 | 88.07 | [63rd of 166] |
Economic activity > Both sexes aged 40-44 | 89.04 | [55th of 167] |
Economic activity > Both sexes aged 45-49 | 88.16 | [45th of 163] |
Economic activity > Both sexes aged 50-54 | 86.49 | [26th of 166] |
Economic activity > Both sexes aged 55-59 | 81.83 | [21st of 166] |
Economic activity > Both sexes aged 60-64 | 72.86 | [16th of 166] |
Economic activity > Both sexes aged 65 plus | 52.75 | [16th of 165] |
Economic activity > Men aged 10-14 | 26.69 | [32nd of 92] |
Economic activity > Men aged 15-19 | 80.45 | [3rd of 164] |
Economic activity > Men aged 20-24 | 85.92 | [60th of 166] |
Economic activity > Men aged 25-29 | 94.42 | [115th of 165] |
Economic activity > Men aged 30-34 | 97.99 | [34th of 165] |
Economic activity > Men aged 35-39 | 97.18 | [107th of 164] |
Economic activity > Men aged 40-44 | 96.68 | [103rd of 163] |
Economic activity > Men aged 45-49 | 94.45 | [123rd of 167] |
Economic activity > Men aged 50-54 | 94.15 | [70th of 165] |
Economic activity > Men aged 55-59 | 89.81 | [67th of 167] |
Economic activity > Men aged 60-64 | 82.53 | [48th of 165] |
Economic activity > Men aged 65 plus | 70.74 | [21st of 162] |
Economic activity > Women aged 10-14 | 25.47 | [29th of 89] |
Economic activity > Women aged 15-19 | 67.83 | [9th of 164] |
Economic activity > Women aged 20-24 | 74.08 | [42nd of 166] |
Economic activity > Women aged 25-29 | 75.93 | [60th of 165] |
Economic activity > Women aged 30-34 | 77.23 | [63rd of 167] |
Economic activity > Women aged 35-39 | 79.34 | [60th of 165] |
Economic activity > Women aged 40-44 | 81.79 | [57th of 165] |
Economic activity > Women aged 45-49 | 82.29 | [40th of 161] |
Economic activity > Women aged 50-54 | 79.37 | [30th of 166] |
Economic activity > Women aged 55-59 | 74.59 | [14th of 167] |
Economic activity > Women aged 60-64 | 64.35 | [15th of 165] |
Economic activity > Women aged 65 plus | 38.2 | [14th of 167] |
Economically active children, female | 30.3 % | [4th of 34] |
Economically active children, male | 30 % | [5th of 34] |
Economically active children, study and work | 73.4 % | [7th of 34] |
Economically active children, total | 30.1 % | [4th of 34] |
Economically active children, work only | 30.3 % | [7th of 34] |
Female economic activity | 72.8% | [18th of 156] |
Female economic activity growth | -2% | [139th of 156] |
Firing cost > weeks of wages | 58.5 weeks of wages | [50th of 164] |
force participation rate, female > % of female population ages 15-64 | 75.65 % | [16th of 184] |
force participation rate, male > % of male population ages 15-64 | 92.18 % | [7th of 184] |
force participation rate, total > % of total population ages 15-64 | 83.76 % | [11th of 184] |
force, female > % of total labor force | 45.79 % | [53rd of 184] |
force, total | 7,032,155 | [55th of 184] |
force, total (per capita) | 0.441 per capita | [96th of 184] |
Labor force | 7,148,000 | [47th of 132] |
Labor force (per capita) | 582,863.297 per million people | [13th of 131] |
Labor force >
By occupation agriculture 85%, industry and services 15% |
||
Labor force > By occupation > Agriculture | 85% | [2nd of 32] |
Labor force > By occupation > Industry and services | 15% | [17th of 22] |
Minimum Age Convention, 1973 > Ratifications > Date | June 13, 2001 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [129th of 146] |
Parental leave > Paid maternity leave | 90 days | |
Regulation | 78 | [3rd of 123] |
Regulation > Employment Conditions | 89 | [19th of 123] |
Regulation > Firing | 74 | [1st of 123] |
Regulation > Hiring | 71 | [22nd of 123] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | June 4, 1976 | |
Rigidity of employment index | 64 | [11th of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 23.5 % | [116th of 174] |
skills > % of managers surveyed ranking this as a major business constraint | 1.05 % | [19th of 38] |
Workers' remittances and compensation of employees, paid > US$ | 215,000,000 $ | [49th of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 6.553 $ per $1,000 of GDP | [59th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 13.487 $ per 1,000 people | [73rd of 167] |
Workers' remittances and compensation of employees, received > US$ | 5,000,000 $ | [125th of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 0.664 $ per $1,000 of GDP | [146th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 0.397 $ per capita | [154th of 167] |
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
Angola, Republic of Angola, Republica de Angola
Lifestyle
|
||
Life satisfaction | 4.3 | [62nd of 69] |
Life satisfaction inequality | 2.5 | [44th of 87] |
SOURCES
World Database of Happiness, Happiness in Nations, Rank Report 2004/1
Average happiness in 90 nations 1990-2000; World Database of Happiness,
Happiness in Nations, Rank Report 2004/3b.
Equality of
happiness in 90 nations 1990-2000. How much citizens differ in enjoyment of
their life as a whole
ALTERNATIVE NAMES
Angola, Republic of Angola, Republica de Angola
People
|
||
African countries by population density > area | 1,246,700 | [7th of 56] |
African countries by population density > pop. dens. | 8.5 | [48th of 56] |
African countries by population density > population | 10,593,171 | [22nd of 56] |
Age dependency ratio > dependents to working-age population | 0.96 | [11th of 185] |
Age structure > 0-14 years | 43.7 % | [25th of 225] |
Age structure > 0-14 years | 43.4 | [28th of 226] |
Age structure > 0-14 years > Females | 2,707,665 | [58th of 225] |
Age structure > 0-14 years > From total | 43.6% | [27th of 227] |
Age structure > 0-14 years > Males | 2,760,264 | [59th of 225] |
Age structure > 15-64 years | 53.7 | [198th of 226] |
Age structure > 15-64 years | 53.5 % | [200th of 225] |
Age structure > 15-64 years > Females | 3,302,552 | [77th of 225] |
Age structure > 15-64 years > From total | 53.6% | [193rd of 227] |
Age structure > 15-64 years > Males | 3,416,914 | [76th of 225] |
Age structure > 65 years and over | 2.8 % | [196th of 225] |
Age structure > 65 years and over > Females | 192,353 | [107th of 225] |
Age structure > 65 years and over > From total | 2.7% | [199th of 227] |
Age structure > 65 years and over > Males | 151,609 | [105th of 225] |
Birth rate | 44.09 births/1,000 population | [8th of 226] |
Child Protection > Birth registration, % of rural | 19 | [49th of 52] |
Child Protection > Birth registration, % of total | 29 | [51st of 56] |
Child Protection > Birth registration, % of urban | 34 | [47th of 52] |
Child Protection > Child labour 5-14 years, % of female | 23 | [23rd of 46] |
Child Protection > Child labour 5-14 years, % of male | 21 | [29th of 46] |
Child Protection > Child labour 5-14 years, % of poorest 20% | 34 | [17th of 43] |
Child Protection > Child labour 5-14 years, % of richest 20% | 12 | [26th of 43] |
Child Protection > Child labour 5-14 years, % of rural | 33 | [18th of 42] |
Child Protection > Child labour 5-14 years, % of total | 22 | [27th of 46] |
Child Protection > Child labour 5-14 years, % of urban | 18 | [16th of 42] |
Chinese population | 500 | [84th of 127] |
Chinese population (per capita) | 4.228 per 100,000 people | [90th of 126] |
CPIA social protection rating | 2.5 | [62nd of 75] |
Death rate | 24.44 deaths/1,000 population | [2nd of 226] |
Education expenditures | 2.4 % of GDP | [49th of 55] |
Ethnic groups Ovimbundu 37%, Kimbundu 25%, Bakongo 13%, mestico (mixed European and native African) 2%, European 1%, other 22% |
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Female population > Age 10-14 | 739,189 | [63rd of 224] |
Female population > Age 10-14 > % of the total | 6.1 | [44th of 224] |
Female population > Age 15-19 | 626,406 | [70th of 224] |
Female population > Age 15-19 > % of the total | 5.17 | [84th of 224] |
Female population > Age 20-24 | 522,422 | [69th of 224] |
Female population > Age 20-24 > % of the total | 4.31 | [118th of 224] |
Female population > Age 25-29 | 440,203 | [71st of 224] |
Female population > Age 25-29 > % of the total | 3.63 | [150th of 224] |
Female population > Age 30-34 | 383,127 | [75th of 224] |
Female population > Age 30-34 > % of the total | 3.16 | [159th of 224] |
Female population > Age 35-39 | 333,607 | [75th of 224] |
Female population > Age 35-39 > % of the total | 2.75 | [172nd of 224] |
Female population > Age 40-44 | 285,919 | [78th of 224] |
Female population > Age 40-44 > % of the total | 2.36 | [160th of 224] |
Female population > Age 45-49 | 204,546 | [85th of 224] |
Female population > Age 45-49 > % of the total | 1.69 | [197th of 224] |
Female population > Age 50-54 | 156,184 | [96th of 224] |
Female population > Age 50-54 > % of the total | 1.29 | [207th of 224] |
Female population > Age 55-59 | 133,653 | [95th of 224] |
Female population > Age 55-59 > % of the total | 1.1 | [194th of 224] |
Female population > Age 60-64 | 109,621 | [90th of 224] |
Female population > Age 60-64 > % of the total | 0.9 | [177th of 224] |
Female population > Age 65-69 | 88,154 | [94th of 224] |
Female population > Age 65-69 > % of the total | 0.73 | [165th of 224] |
Female population > Age 70-74 | 58,030 | [100th of 224] |
Female population > Age 70-74 > % of the total | 0.48 | [182nd of 224] |
Female population > Age 75-79 | 27,501 | [114th of 224] |
Female population > Age 75-79 > % of the total | 0.23 | [205th of 224] |
Female population > Age 80-84 | 12,682 | [132nd of 224] |
Female population > Age 80-84 > % of the total | 0.1 | [217th of 224] |
Male population > Age 10-14 | 754,936 | [64th of 224] |
Male population > Age 10-14 > % of the total | 6.23 | [47th of 224] |
Male population > Age 15-19 | 642,315 | [71st of 224] |
Male population > Age 15-19 > % of the total | 5.3 | [87th of 224] |
Male population > Age 20-24 | 537,467 | [71st of 224] |
Male population > Age 20-24 > % of the total | 4.43 | [118th of 224] |
Male population > Age 25-29 | 455,644 | [73rd of 224] |
Male population > Age 25-29 > % of the total | 3.76 | [139th of 224] |
Male population > Age 30-34 | 392,368 | [75th of 224] |
Male population > Age 30-34 > % of the total | 3.24 | [172nd of 224] |
Male population > Age 35-39 | 332,338 | [75th of 224] |
Male population > Age 35-39 > % of the total | 2.74 | [176th of 224] |
Male population > Age 40-44 | 295,761 | [77th of 224] |
Male population > Age 40-44 > % of the total | 2.44 | [163rd of 224] |
Male population > Age 45-49 | 227,280 | [80th of 224] |
Male population > Age 45-49 > % of the total | 1.87 | [167th of 224] |
Male population > Age 50-54 | 174,525 | [82nd of 224] |
Male population > Age 50-54 > % of the total | 1.44 | [165th of 224] |
Male population > Age 55-59 | 133,982 | [87th of 224] |
Male population > Age 55-59 > % of the total | 1.1 | [166th of 224] |
Male population > Age 60-64 | 100,274 | [86th of 224] |
Male population > Age 60-64 > % of the total | 0.83 | [165th of 224] |
Male population > Age 65-69 | 72,637 | [91st of 224] |
Male population > Age 65-69 > % of the total | 0.6 | [184th of 224] |
Male population > Age 70-74 | 44,833 | [99th of 224] |
Male population > Age 70-74 > % of the total | 0.37 | [192nd of 224] |
Male population > Age 75-79 | 21,579 | [114th of 224] |
Male population > Age 75-79 > % of the total | 0.18 | [208th of 224] |
Male population > Age 80-84 | 9,895 | [125th of 224] |
Male population > Age 80-84 > % of the total | 0.08 | [220th of 224] |
Median age > Female | 18 years | [197th of 224] |
Median age > Male | 18 years | [194th of 224] |
Median age > Total | 18 years | [194th of 224] |
Nationality > Adjective | Angolan | |
Nationality > Noun | Angolan(s) | |
Percentage living in rural areas. | 64% | [49th of 193] |
Percentage living in urban areas | 36% | [153rd of 199] |
Population | 12,531,357 | [69th of 242] |
Population > CIA Factbook | 12,531,357 | [69th of 240] |
Population ages 0-14 > % of total | 46.47 % | [11th of 185] |
Population ages 15-64 > % of total | 51.08 % | [173rd of 185] |
Population ages 65 and above > % of total | 2.45 % | [174th of 185] |
Population growth > annual % | 2.87 annual % | [23rd of 195] |
Population growth rate | 2.136% | [55th of 235] |
Population in 2015 | 20,947 | [56th of 225] |
Population in largest city | 2,766,273 | [48th of 118] |
Population in largest city (per capita) | 0.174 per capita | [46th of 118] |
Population in the largest city > % of urban population | 32.56 % | [50th of 118] |
Population in urban agglomerations > more than 1 million | 2,766,273 | [56th of 106] |
Population in urban agglomerations > more than 1 million (per capita) | 0.174 per capita | [64th of 106] |
Population, female > % of total | 50.7 % | [71st of 190] |
Projected population growth | 140.89% | [23rd of 141] |
Rights of the Child Convention > Ratification Dates | 5 Dec 1990 | |
Rights of the Child Convention > Signatories | 14 Feb 1990 | |
Rural population | 7,444,630 | [58th of 193] |
Rural population (per capita) | 0.467 per capita | [90th of 194] |
Rural population growth > annual % | 1.47 annual % | [49th of 193] |
Sex ratio > 15-64 years | 1.04 | [52nd of 223] |
Sex ratio > 15-64 years | 1.03 male(s)/female | [55th of 224] |
Sex ratio > 65 years and over | 0.79 male(s)/female | [102nd of 223] |
Sex ratio > At birth | 1.05 male(s)/female | [109th of 223] |
Sex ratio > sex ratios > 15–65 | 1.03 | [55th of 215] |
Sex ratio > sex ratios > at birth | 1.05 | [66th of 215] |
Sex ratio > sex ratios > over 65 | 0.8 | [95th of 215] |
Sex ratio > sex ratios > total | 1.02 | [52nd of 215] |
Sex ratio > sex ratios > under 15 | 1.02 | [171st of 215] |
Sex ratio > Total population | 1.02 male(s)/female | [56th of 224] |
Sex ratio > Under 15 years | 1.02 male(s)/female | [176th of 224] |
Total fertility rate | 6.2 children born/woman | [10th of 225] |
Total Population | 12,127,071 | [69th of 227] |
Total population > Age 10-14 | 1,494,125 | [64th of 224] |
Total population > Age 10-14 > % of the total | 12.32 | [49th of 224] |
Total population > Age 15-19 | 1,268,721 | [71st of 224] |
Total population > Age 15-19 > % of the total | 10.46 | [87th of 224] |
Total population > Age 20-24 | 1,059,889 | [70th of 224] |
Total population > Age 20-24 > % of the total | 8.74 | [119th of 224] |
Total population > Age 25-29 | 895,847 | [72nd of 224] |
Total population > Age 25-29 > % of the total | 7.39 | [145th of 224] |
Total population > Age 30-34 | 775,495 | [76th of 224] |
Total population > Age 30-34 > % of the total | 6.39 | [170th of 224] |
Total population > Age 35-39 | 665,945 | [75th of 224] |
Total population > Age 35-39 > % of the total | 5.49 | [178th of 224] |
Total population > Age 40-44 | 581,680 | [78th of 224] |
Total population > Age 40-44 > % of the total | 4.8 | [166th of 224] |
Total population > Age 45-49 | 431,826 | [82nd of 224] |
Total population > Age 45-49 > % of the total | 3.56 | [182nd of 224] |
Total population > Age 50-54 | 330,709 | [89th of 224] |
Total population > Age 50-54 > % of the total | 2.73 | [188th of 224] |
Total population > Age 55-59 | 267,635 | [88th of 224] |
Total population > Age 55-59 > % of the total | 2.21 | [181st of 224] |
Total population > Age 60-64 | 209,895 | [86th of 224] |
Total population > Age 60-64 > % of the total | 1.73 | [172nd of 224] |
Total population > Age 65-69 | 160,791 | [92nd of 224] |
Total population > Age 65-69 > % of the total | 1.33 | [173rd of 224] |
Total population > Age 70-74 | 102,863 | [99th of 224] |
Total population > Age 70-74 > % of the total | 0.85 | [191st of 224] |
Total population > Age 75-79 | 49,080 | [113rd of 224] |
Total population > Age 75-79 > % of the total | 0.4 | [214th of 224] |
Total population > Age 80-84 | 22,577 | [130th of 224] |
Total population > Age 80-84 > % of the total | 0.19 | [219th of 224] |
Total Population > Female | 6,007,988 | [69th of 227] |
Total Population > Male | 6,119,083 | [69th of 227] |
Urban population | 8,496,762 | [54th of 195] |
Urban population (per capita) | 0.533 per capita | [105th of 196] |
Urban population growth > annual % | 4.12 annual % | [23rd of 195] |
Urbanization | 35 | [157th of 204] |
Urbanization in 1975 | 17.8% | [135th of 164] |
Urbanization in 2015 | 44.1% | [120th of 164] |
Women > Antenatal care coverage % | 66 | [110th of 133] |
Women > Contraceptive prevalence % | 6 | [168th of 170] |
Women > Life expectancy females as a % of males | 105 | [124th of 173] |
Women > Maternal mortality ratio adjusted | 1,700 | [4th of 166] |
Women > Skilled attendant at delivery % | 45 | [141st 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
Angola, Republic of Angola, Republica de Angola
Mortality
|
|||
Death rate, crude > per 1,000 people | 21.54 per 1,000 people | [7th of 195] |
rate, adult, female > per 1,000 female adults | 460.69 per 1,000 female adults | [20th of 185] |
rate, adult, male > per 1,000 male adults | 505 per 1,000 male adults | [17th of 185] |
rate, infant > per 1,000 live births | 154 per 1,000 live births | [3rd of 187] |
rate, under-5 > per 1,000 | 260 per 1,000 | [2nd of 187] |
SOURCES
World Development Indicators database
ALTERNATIVE NAMES
Angola, Republic of Angola, Republica de Angola
Immigration
|
||
immigrant population > Immigrants as percentage of state population | 0.3513 | [177th of 195] |
immigrant population > Number of immigrants | 56,000 | [132nd of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.1% | |
International migration stock > % of population | 0.35 % | [187th of 205] |
International migration stock, total | 56,351 | [135th of 205] |
Net migration | 145,000 | [31st of 180] |
Net migration (per capita) | 9.096 per 1 million people | [44th of 185] |
Net migration rate | 1.72 migrant(s)/1,000 populati | [49th of 225] |
Refugee population by country or territory of asylum | 13,984 | [52nd of 151] |
Refugee population by country or territory of asylum (per capita) | 877.213 per 1 million people | [70th of 162] |
Refugee population by country or territory of origin | 215,827 | [10th of 77] |
Refugee population by country or territory of origin (per capita) | 13.539 per 1 million people | [12th of 77] |
Refugees | 86,470 | [32nd of 110] |
Refugees (per capita) | 7.31124 per 1,000 people | [27th of 110] |
Refugees > Convention on refugees | 23 Jun 1981 a | |
Refugees > Outflow | 433,000 | [3rd of 76] |
Refugees > Outflow (per capita) | 36.6111 per 1,000 people | [6th of 76] |
Refugees > US acceptance rates | 66.7 | [13th of 49] |
Refugees > US applications | 12 | [37th of 64] |
Refugees > US applications (per capita) | 0.00101463 per 1,000 people | [37th of 63] |
Refugees > US applications approved | 8 | [28th of 53] |
Refugees > US applications approved (per capita) | 0.000676418 per 1,000 people | [33rd of 52] |
Refugees and internally displaced persons > IDPs | 61,700 | [22nd of 40] |
Refugees and internally displaced persons > IDPs (per capita) | 5.031 per 1,000 people | [21st of 40] |
Refugees and internally displaced persons > Refugees (country of origin) 12,615 (Democratic Republic of Congo) |
||
US visa lottery winners | 17 US visa lottery winners | [121st of 178] |
US visa lottery winners (per capita) | 1.43739 US visa lottery winners | [161st of 176] |
SOURCES
Wikipedia:
List of countries by immigrant population ;
World Development Indicators
database; All
CIA World
Factbooks 18 December 2003 to 18 December 2008; United Nations
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
Angola, Republic of Angola, Republica de Angola
Other articles in this category |
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Angola at a glance |
Geography |
History |
Culture |
Economy (1) |
Economy (2) |
Politics |
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