1) Natural geography
Area >
Comparative slightly smaller than Oregon |
||
Area > Comparative to US places slightly smaller than Oregon |
||
Area > Land | 199,710 sq km | [83rd of 238] |
Area > Land (per capita) | 6.367 sq km per 1,000 people | [157th of 227] |
Area > Total | 236,040 sq km | [87th of 250] |
Area > Total (per capita) | 7.525 sq km per 1,000 people | [154th of 231] |
Area > Water | 36,330 sq km | [17th of 239] |
Area > Water (per capita) | 1,158.188 sq km per million people | [36th of 225] |
Capital city with population | Kampala - 773,463 | |
Climate tropical; generally rainy with two dry seasons (December to February, June to August); semiarid in northeast |
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Coastline | 0 km | [269th of 271] |
Elevation extremes > Highest point Margherita Peak on Mount Stanley 5,110 m |
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Elevation extremes > Lowest point | Lake Albert 621 m | |
Forested Land | 21% | [117th of 193] |
Geographic coordinates | 1 00 N, 32 00 E | |
Geography >
Note landlocked; fertile, well-watered country with many lakes and rivers |
||
highest towns > Town/City | Kabale | |
Irrigated land | 90 sq km | [140th of 196] |
Irrigated land (per capita) | 3.35 sq km per million people | [166th of 167] |
Land area > sq. km | 197,100 km² | [83rd of 206] |
Land area > sq. km (per capita) | 6.84 km² per 1,000 people | [147th of 206] |
land border lengths > T-V > Number of neighbours | 5 | [4th of 16] |
land border lengths > T-V > Total Borders | 2,698 km | [10th of 16] |
Land
boundaries > Border countries Democratic Republic of the Congo 765 km, Kenya 933 km, Rwanda 169 km, Sudan 435 km, Tanzania 396 km |
||
Land boundaries > Total | 2,698 km | [65th of 166] |
Land boundaries > Total (per capita) | 86.011 km per million people | [127th of 164] |
Land use > Arable land | 21.57% | [45th of 258] |
Land use > Other | 69.51% | [200th of 258] |
Land use > Permanent crops | 8.92% | [36th of 258] |
Largest city | Kampala | |
Largest city population | 954,000 | [90th of 174] |
Largest city population (per capita) | 0.035 per capita | [162nd of 174] |
Largest city with population | Kampala - 773,463 | |
Location Eastern Africa, west of Kenya |
||
Map
references Africa |
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Maritime claims | none (landlocked) | |
Natural
resources copper, cobalt, hydropower, limestone, salt, arable land |
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northernmost point > Latitude | 04°14'N | |
Population density | 114.19 people per sqkm | [88th of 256] |
Population density > people per sq. km | 146.2 people/m² | [58th of 204] |
Rural population density > rural population per sq. km of arable land | 452.65 people/km² of arable lan | [64th of 188] |
Surface area > sq. km | 241,040 km² | [79th of 206] |
Surface area > sq. km (per capita) | 8.365 km² per 1,000 people | [133rd of 207] |
tallest
mountains > Mountain Margherita Peak (Mt. Stanley) |
||
Terrain mostly plateau with rim of mountains |
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; Wikipedia:
List of
highest towns by country ;
World Development
Indicators database; Wikipedia:
List of land
border lengths ; United Nations
World
Statistics Pocketbook and
Statistical
Yearbook; Wikipedia:
List of countries by northernmost point ;
Heal The World
Foundation.; Wikipedia:
List
of tallest mountains by country
ALTERNATIVE NAMES
Uganda, Republic of Uganda
Environment
Acidification | 0% | [139th of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 0.15 % of GNI | [152nd of 179] |
Adjusted savings: net forest depletion > % of GNI | 4.64 % of GNI | [4th of 57] |
Adjusted savings: particulate emission damage > % of GNI | 0.01 % of GNI | [162nd of 165] |
Areas under protection | 54 | [66th of 146] |
Areas under protection (per capita) | 1.98027 per 1 million people | [88th of 146] |
Biodiversity richness | 2 | [34th of 53] |
Biosphere reserves area | 247 thousand hectares | [56th of 86] |
Biosphere reserves area (per capita) | 9.0579 thousand hectares per 1 | [59th of 86] |
Breeding birds threatened | 1.57% | [94th of 136] |
Carbon efficiency | 0.15 CO2 emissions/$ GDP | [136th of 141] |
CFC consumption | 6.05 | [98th of 107] |
CFC consumption (per capita) | 0.000221864 per 1,000 people | [98th of 107] |
CO2 Emissions | 1,441.8 | [131st of 178] |
CO2 Emissions (per capita) | 0.0528732 per 1,000 people | [169th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.05 kg/PPP$ | [158th of 170] |
CO2 emissions > kt | 1,710.62 kt | [143rd of 195] |
CO2 emissions > kt (per capita) | 0.064 kt per 1,000 people | [188th of 196] |
CPIA policy and institutions for environmental sustainability rating | 4 | [8th of 75] |
Current
issues draining of wetlands for agricultural use; deforestation; overgrazing; soil erosion; water hyacinth infestation in Lake Victoria; widespread poaching |
||
Ecological footprint | 0.88 | [125th of 141] |
Endangered species protection | 50% | [93rd of 141] |
Fertiliser consumption | 3.68 hundred grams/hectare | [136th of 141] |
Forest area > % of land area | 18.4 % of land area | [129th of 195] |
Forest area > sq. km | 36,270 km² | [81st of 195] |
Forest area > sq. km (per capita) | 1,258.666 km² per 1,000 people | [138th of 195] |
Freshwater withdrawal | 0.3 | [11th of 124] |
Freshwater withdrawal > Agricultural | 40% | [6th of 124] |
Freshwater withdrawal > Domestic | 43% | [2nd of 124] |
Freshwater withdrawal > Industrial | 17% | [8th of 124] |
Groundwater withdrawals | 0 | [188th of 188] |
International agreements > Party to Biodiversity, Climate Change, Climate Change-Kyoto Protocol, Desertification, Endangered Species, Hazardous Wastes, Law of the Sea, Marine Life Conservation, Ozone Layer Protection, Wetlands |
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International agreements > Signed but not ratified Environmental Modification |
||
Known breeding bird species | 243 | [45th of 146] |
Known breeding bird species (per capita) | 8.91122 per 1 million people | [106th of 146] |
Known mammal species | 345 | [11th of 145] |
Known mammal species (per capita) | 12.6517 per 1 million people | [66th of 145] |
Marine fish catch | 0 tons | [141st of 141] |
Marine fish catch (per capita) | 0 tons per 1,000 people | [141st of 141] |
Non-wildness | 1.66% | [89th of 141] |
NOx emissions per populated area | 0.26 thousand metric tons/squ | [67th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 16,727.85 kg/day | [75th of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.3 kg per day per worker | [5th of 115] |
PM10, country level > micrograms per cubic meter | 16.52 mcg/m³ | [160th of 185] |
Pollution > Carbon dioxide 1999 | 374 | [139th of 199] |
Protected area | 9.6 | [43rd of 147] |
SO2 emissions per populated area | 160 thousand metric tons/squ | [108th of 141] |
SO2 exports | 382.62 hundred metric tons | [115th of 141] |
Threatened species | 67 | [27th of 158] |
Threatened species > Mammal | 18 | [42nd of 160] |
Urban NO2 concentration | 66.8 micrograms/m3 | [29th of 141] |
Urban SO2 concentration | 79.53 micrograms/m3 | [39th of 141] |
Water > Availability | 1 thousand cubic metres | [106th of 141] |
Water > Dissolved oxygen concentration | 7.04 mls/litre | [88th of 141] |
Water > Phosphorus concentration | 0.16 mls/litre | [106th of 141] |
Water > Salinisation | 1,195.79 | [32nd of 141] |
Water > Severe water stress | 0 | [140th of 140] |
Water > Suspended solids | 4.22 mls/litre | [94th of 141] |
Water pollution, chemical industry > % of total BOD emissions | 1 % | [102nd of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.12 % | [85th of 112] |
Water pollution, food industry > % of total BOD emissions | 81.58 % | [4th of 114] |
Water pollution, metal industry > % of total BOD emissions | 1.6 % | [77th of 94] |
Water pollution, other industry > % of total BOD emissions | 1 % | [85th of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 5.23 % | [88th of 111] |
Water pollution, textile industry > % of total BOD emissions | 7.98 % | [76th of 114] |
Water pollution, wood industry > % of total BOD emissions | 1.49 % | [70th of 114] |
Wetlands of intl importance > Area | 15 thousand hectares | [95th of 112] |
Wetlands of intl importance > Area (per capita) | 0.550075 thousand hectares per 1 m | [101st of 112] |
Wildness | 12.55% | [60th of 141] |
SOURCES
Stockholm
Environment Institute at York, Acidification in Developing Countries: Ecosystem
Sensitivity and the Critical Loads Approach at the Global scale, 2000 via
ciesin.org; World
Development Indicators database; World
Resources Institute; ; 2000 IUCN
Red List, and World
Resources Institute,World Resources 2000-2001, Washington, DC: WRI, 2000.
Original sources: World Conservation Monitoring Center, IUCN-The World
Conservation Union, Food and Agriculture Organization of the United Nations and
other sources.; Carbon
Dioxide Information Analysis Center; UNEP, Production and Consumption of
Ozone Depleting Substances, 1986-1998, October 1999. via ciesin.org; World
Resources Institute. 2003. Carbon Emissions from energy use and cement
manufacturing, 1850 to 2000. Available on-line through the
Climate Analysis Indicators Tool (CAIT) at
Washington, DC: World Resources Institute; All
CIA World
Factbooks 18 December 2003 to 18 December 2008; World Wide Fund for Nature
(WWF), Living Planet Report 2000, Gland, Switzerland: 2000, and
Redefining
Progress.;
Convention on International Trade in Endangered Species of Wild Fauna and Flora,
Report on National Reports Required Under Article VIII, Paragraph 7(a), of the
Convention, Eleventh Meeting of the Conference of the Parties, Gigiri, Kenya,
April 2000; World Bank, World Development Indicators 2001. Washington, DC: World
Bank, 2001. via ciesin.org; FAOSTAT on-line
database; Wild Areas Project (WAP), joint Wildlife Conservation Society
(WCS) and CIESIN project to map the last wild places on the earth's surface.
Accessed via ciesin.org; Intergovernmental Panel on Climate Change:
Special Report on
Emissions Scenarios, Data Version 1.1, B1Illustrative Marker Scenario with
model IMAGE; Gregg Marland, Tom Boden, and Bob Andres, University of North
Dakota, via net
publication;
Jacaranda Atlas; International Institute for Applied Systems Analysis,
RAINS-ASIA and Co-operative Programme formonitoring and evaluation of the long
range transmission of air pollutants in Europe (EMEP) via ciesin.org; United
Nations
World Statistics Pocketbook and
Statistical
Yearbook; World Resources Institute, World Resources 1998-99; World Bank,
World Development Indicators 2000; WHO,Air Management Information System-AMIS
2.0, 1998; and Global Urban Observatory, Citibase, 1999. via ciesin.org; Center
for Environmental Systems Research, University of Kassel, WaterGAP 2.1B, 2001
via ciesin.org; United Nations Environment Programme (UNEP),
Global Environmental Monitoring System/Water
Quality Monitoring System, with data for an additional 29 countries from
Prescott-Allen,R. The Well being of Nations, Washington, DC: Island Press, 2001;
United Nations Environment Programme (UNEP),
Global Environmental Monitoring System/Water Quality Monitoring System, with
data for an additional 29 countries from Prescott-Allen, R. The Well being of
Nations, Washington, DC: Island Press, 2001; Center for Environmental Systems
Research, University of Kassel, WaterGap 2.1, 2000 via ciesin.org; Wild Areas
Project (WAP), joint Wildlife Conservation Society (WCS) and CIESIN project to
map the lastwild places on the earth's surface. via ciesin.org
ALTERNATIVE NAMES
Uganda, Republic of Uganda
2) Human geography
Age distribution
Age and sex distribution for the year 1990:
Child employment in agriculture > % of economically active children ages 7-14 | 93.45 % | [1st of 11] |
Child employment in agriculture, female > % of female economically active children ages 7-14 | 92.34 % | [1st of 11] |
Child employment in agriculture, male > % of male economically active children ages 7-14 | 94.33 % | [1st of 11] |
Child employment in manufacturing > % of economically active children ages 7-14 | 1.4 % | [6th of 10] |
Child employment in manufacturing, female > % of female economically active children ages 7-14 | 1.26 % | [6th of 10] |
Child employment in manufacturing, male > % of male economically active children ages 7-14 | 1.51 % | [6th of 10] |
Child employment in services > % of economically active children ages 7-14 | 4.45 % | [6th of 11] |
Child employment in services, female > % of female economically active children ages 7-14 | 5.99 % | [6th of 11] |
Child employment in services, male > % of male economically active children ages 7-14 | 3.23 % | [6th of 11] |
Compensation of employees > % of expense | 10.59 % | [85th of 97] |
Compensation of employees > current LCU | 284761600000 | |
CPIA building human resources rating | 4 | [10th of 75] |
Economic activity > Both sexes aged 10-14 | 43.78 | [4th of 89] |
Economic activity > Both sexes aged 15-19 | 73.78 | [4th of 167] |
Economic activity > Both sexes aged 20-24 | 84.35 | [12th of 166] |
Economic activity > Both sexes aged 25-29 | 89.68 | [30th of 167] |
Economic activity > Both sexes aged 30-34 | 92.45 | [27th of 165] |
Economic activity > Both sexes aged 35-39 | 93.45 | [25th of 166] |
Economic activity > Both sexes aged 40-44 | 94.79 | [14th of 167] |
Economic activity > Both sexes aged 45-49 | 93.9 | [11th of 163] |
Economic activity > Both sexes aged 50-54 | 92.3 | [4th of 166] |
Economic activity > Both sexes aged 55-59 | 88.93 | [5th of 166] |
Economic activity > Both sexes aged 60-64 | 82.25 | [6th of 166] |
Economic activity > Both sexes aged 65 plus | 61.02 | [7th of 165] |
Economic activity > Men aged 10-14 | 45.37 | [6th of 92] |
Economic activity > Men aged 15-19 | 75.98 | [4th of 164] |
Economic activity > Men aged 20-24 | 91.83 | [10th of 166] |
Economic activity > Men aged 25-29 | 97.05 | [28th of 165] |
Economic activity > Men aged 30-34 | 97.71 | [47th of 165] |
Economic activity > Men aged 35-39 | 97.82 | [60th of 164] |
Economic activity > Men aged 40-44 | 97.68 | [39th of 163] |
Economic activity > Men aged 45-49 | 96.96 | [52nd of 167] |
Economic activity > Men aged 50-54 | 96.36 | [20th of 165] |
Economic activity > Men aged 55-59 | 95.06 | [11th of 167] |
Economic activity > Men aged 60-64 | 91.46 | [8th of 165] |
Economic activity > Men aged 65 plus | 76.08 | [10th of 162] |
Economic activity > Women aged 10-14 | 42.2 | [5th of 89] |
Economic activity > Women aged 15-19 | 71.58 | [5th of 164] |
Economic activity > Women aged 20-24 | 76.9 | [31st of 166] |
Economic activity > Women aged 25-29 | 82.32 | [38th of 165] |
Economic activity > Women aged 30-34 | 87.24 | [30th of 167] |
Economic activity > Women aged 35-39 | 89.13 | [26th of 165] |
Economic activity > Women aged 40-44 | 91.97 | [15th of 165] |
Economic activity > Women aged 50-54 | 88.6 | [7th of 166] |
Economic activity > Women aged 55-59 | 83.48 | [7th of 167] |
Economic activity > Women aged 60-64 | 74.29 | [6th of 165] |
Economic activity > Women aged 65 plus | 48.63 | [9th of 167] |
Economically active children, female | 11.3 % | [2nd of 34] |
Economically active children, male | 15.04 % | [3rd of 34] |
Economically active children, study and work | 81.73 % | [4th of 34] |
Economically active children, study and work, female | 83.66 % | [5th of 34] |
Economically active children, study and work, male | 80.18 % | [3rd of 34] |
Economically active children, total | 13.12 % | [2nd of 34] |
Economically active children, work only | 18.27 % | [3rd of 34] |
Economically active children, work only, female | 16.34 % | [2nd of 33] |
Economically active children, work only, male | 19.82 % | [4th of 34] |
Employees, agriculture, female > % of female employment | 77.3 % | [1st of 86] |
Employees, agriculture, male > % of male employment | 60.1 % | [1st of 86] |
Employees, industry, female > % of female employment | 4.8 % | [82nd of 86] |
Employees, industry, male > % of male employment | 10.7 % | [83rd of 86] |
Employees, services, female > % of female employment | 16.7 % | [83rd of 86] |
Employees, services, male > % of male employment | 28.2 % | [82nd of 86] |
Employment in agriculture > % of total employment | 69.1 % | [1st of 94] |
Employment in industry > % of total employment | 7.6 % | [87th of 94] |
Employment in services > % of total employment | 22.2 % | [87th of 94] |
Female economic activity | 79.5% | [7th of 156] |
Female economic activity growth | -2% | [143rd of 156] |
Firing cost > weeks of wages | 13 weeks of wages | [143rd of 164] |
force participation rate, female > % of female population ages 15-64 | 81.21 % | [8th of 184] |
force participation rate, male > % of male population ages 15-64 | 87.35 % | [32nd of 184] |
force participation rate, total > % of total population ages 15-64 | 84.27 % | [9th of 184] |
force with primary education > % of total | 69.6 % | [3rd of 48] |
force with secondary education > % of total | 3.5 % | [31st of 51] |
force with tertiary education > % of total | 2.4 % | [31st of 52] |
force, female > % of total labor force | 48.27 % | [18th of 184] |
force, total | 11,863,220 | [38th of 184] |
force, total (per capita) | 0.412 per capita | [125th of 184] |
Labor force | 14,020,000 | [32nd of 132] |
Labor force (per capita) | 463,277.953 per million people | [53rd of 131] |
Labor force >
By occupation agriculture 82%, industry 5%, services 13% |
||
Labor force > By occupation > Agriculture | 82% | [1st of 32] |
Labor force > By occupation > Industry | 5% | [17th of 29] |
Labor force > By occupation > Services | 13% | [17th of 29] |
Minimum Age Convention, 1973 > Ratifications > Date | March 25, 2003 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [130th of 146] |
Parental leave > Paid maternity leave | 4 weeks | |
Parental leave > Unpaid maternity leave | 4 weeks | |
Regulation | 42 | [97th of 123] |
Regulation > Employment Conditions | 44 | [109th of 123] |
Regulation > Firing | 50 | [33rd of 123] |
Regulation > Hiring | 33 | [116th of 123] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | June 4, 1963 | |
Rigidity of employment index | 7 | [161st of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 35.6 % | [106th of 174] |
skills > % of managers surveyed ranking this as a major business constraint | 0.42 % | [21st of 38] |
Unemployment, female > % of female labor force | 3.9 % | [79th of 95] |
Unemployment, male > % of male labor force | 2.5 % | [86th of 95] |
Unemployment, total > % of total labor force | 3.2 % | [89th of 101] |
Workers' remittances and compensation of employees, paid > US$ | 374,000,000 $ | [41st of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 42.868 $ per $1,000 of GDP | [11th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 12.979 $ per 1,000 people | [75th of 167] |
Workers' remittances and compensation of employees, received > US$ | 476,000,000 $ | [75th of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 54.559 $ per $1,000 of GDP | [39th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 16.518 $ per capita | [114th of 167] |
Workers' remittances, receipts > BoP, current US$ | 476,292,500 BoP $ | [44th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 54.593 BoP $ per $1 million of | [26th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 16.529 BoP $ per 1,000 people | [60th 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
Uganda, Republic of Uganda
Lifestyle
Life satisfaction | 5.2 | [49th of 69] |
Life satisfaction inequality | 2.7 | [27th of 87] |
Political orientation > Far left | 15.8% | [2nd of 61] |
Political orientation > Far right | 9.6% | [13th of 61] |
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; World Values Survey
ALTERNATIVE NAMES
Uganda, Republic
of Uganda
People
African countries by population density > area | 236,040 | [32nd of 56] |
African countries by population density > pop. dens. | 105 | [11th of 56] |
African countries by population density > population | 24,699,073 | [11th of 56] |
Age dependency ratio > dependents to working-age population | 1.12 | [1st of 185] |
Age structure > 0-14 years | 50 % | [1st of 225] |
Age structure > 0-14 years | 50.1 | [1st of 226] |
Age structure > 0-14 years > Females | 7,789,792 | [22nd of 225] |
Age structure > 0-14 years > From total | 50% | [1st of 227] |
Age structure > 0-14 years > Males | 7,903,935 | [22nd of 225] |
Age structure > 15-64 years | 47.7 | [227th of 226] |
Age structure > 15-64 years | 47.8 % | [225th of 225] |
Age structure > 15-64 years > Females | 7,469,938 | [49th of 225] |
Age structure > 15-64 years > From total | 47.8% | [221st of 227] |
Age structure > 15-64 years > Males | 7,528,073 | [50th of 225] |
Age structure > 65 years and over | 2.2 % | [221st of 225] |
Age structure > 65 years and over > Females | 392,112 | [75th of 225] |
Age structure > 65 years and over > From total | 2.2% | [216th of 227] |
Age structure > 65 years and over > Males | 284,122 | [79th of 225] |
Birth rate | 48.15 births/1,000 population | [3rd of 226] |
Child Protection > Birth registration, % of rural | 3 | [52nd of 52] |
Child Protection > Birth registration, % of total | 4 | [57th of 56] |
Child Protection > Birth registration, % of urban | 11 | [53rd of 52] |
Child Protection > Child labour 5-14 years, % of female | 33 | [10th of 46] |
Child Protection > Child labour 5-14 years, % of male | 34 | [11th of 46] |
Child Protection > Child labour 5-14 years, % of poorest 20% | 32 | [21st of 43] |
Child Protection > Child labour 5-14 years, % of richest 20% | 29 | [7th of 43] |
Child Protection > Child labour 5-14 years, % of rural | 35 | [16th of 42] |
Child Protection > Child labour 5-14 years, % of total | 34 | [9th of 46] |
Child Protection > Child labour 5-14 years, % of urban | 21 | [13th of 42] |
Chinese population | 100 | [107th of 127] |
Chinese population (per capita) | 0.367 per 100,000 people | [114th of 126] |
CPIA social protection rating | 3.5 | [19th of 75] |
Death rate | 12.32 deaths/1,000 population | [37th of 226] |
Education expenditures | 5.2 % of GDP | [10th of 55] |
Ethnic groups Baganda 16.9%, Banyakole 9.5%, Basoga 8.4%, Bakiga 6.9%, Iteso 6.4%, Langi 6.1%, Acholi 4.7%, Bagisu 4.6%, Lugbara 4.2%, Bunyoro 2.7%, other 29.6% |
||
Ethnicity > London | 32,082 | [20th of 21] |
Female population > Age 10-14 | 1,941,454 | [27th of 224] |
Female population > Age 10-14 > % of the total | 6.89 | [2nd of 224] |
Female population > Age 15-19 | 1,609,102 | [33rd of 224] |
Female population > Age 15-19 > % of the total | 5.71 | [26th of 224] |
Female population > Age 20-24 | 1,283,311 | [40th of 224] |
Female population > Age 20-24 > % of the total | 4.55 | [91st of 224] |
Female population > Age 25-29 | 997,094 | [45th of 224] |
Female population > Age 25-29 > % of the total | 3.54 | [165th of 224] |
Female population > Age 30-34 | 776,430 | [51st of 224] |
Female population > Age 30-34 > % of the total | 2.75 | [209th of 224] |
Female population > Age 35-39 | 564,942 | [55th of 224] |
Female population > Age 35-39 > % of the total | 2 | [215th of 224] |
Female population > Age 40-44 | 452,099 | [58th of 224] |
Female population > Age 40-44 > % of the total | 1.6 | [220th of 224] |
Female population > Age 45-49 | 360,608 | [62nd of 224] |
Female population > Age 45-49 > % of the total | 1.28 | [224th of 224] |
Female population > Age 50-54 | 273,779 | [66th of 224] |
Female population > Age 50-54 > % of the total | 0.97 | [222nd of 224] |
Female population > Age 55-59 | 222,523 | [68th of 224] |
Female population > Age 55-59 > % of the total | 0.79 | [222nd of 224] |
Female population > Age 60-64 | 187,342 | [65th of 224] |
Female population > Age 60-64 > % of the total | 0.66 | [216th of 224] |
Female population > Age 65-69 | 147,665 | [66th of 224] |
Female population > Age 65-69 > % of the total | 0.52 | [214th of 224] |
Female population > Age 70-74 | 103,021 | [74th of 224] |
Female population > Age 70-74 > % of the total | 0.37 | [210th of 224] |
Female population > Age 75-79 | 61,014 | [79th of 224] |
Female population > Age 75-79 > % of the total | 0.22 | [209th of 224] |
Female population > Age 80-84 | 39,674 | [87th of 224] |
Female population > Age 80-84 > % of the total | 0.14 | [210th of 224] |
Gender development | 0.437 | [122nd of 141] |
Jewish population > By country > Jews > % Jewish | 0.003 % | [81st of 97] |
Jewish population > By country > Jews > Estimated number of Jews | 750 | [70th of 102] |
Male population > Age 10-14 | 1,963,168 | [28th of 224] |
Male population > Age 10-14 > % of the total | 6.96 | [3rd of 224] |
Male population > Age 15-19 | 1,623,687 | [35th of 224] |
Male population > Age 15-19 > % of the total | 5.76 | [35th of 224] |
Male population > Age 20-24 | 1,295,366 | [41st of 224] |
Male population > Age 20-24 > % of the total | 4.59 | [102nd of 224] |
Male population > Age 25-29 | 1,001,709 | [46th of 224] |
Male population > Age 25-29 > % of the total | 3.55 | [176th of 224] |
Male population > Age 30-34 | 805,384 | [49th of 224] |
Male population > Age 30-34 > % of the total | 2.86 | [216th of 224] |
Male population > Age 35-39 | 633,981 | [53rd of 224] |
Male population > Age 35-39 > % of the total | 2.25 | [217th of 224] |
Male population > Age 40-44 | 495,818 | [56th of 224] |
Male population > Age 40-44 > % of the total | 1.76 | [215th of 224] |
Male population > Age 45-49 | 364,538 | [59th of 224] |
Male population > Age 45-49 > % of the total | 1.29 | [215th of 224] |
Male population > Age 50-54 | 244,458 | [74th of 224] |
Male population > Age 50-54 > % of the total | 0.87 | [222nd of 224] |
Male population > Age 55-59 | 167,531 | [77th of 224] |
Male population > Age 55-59 > % of the total | 0.59 | [224th of 224] |
Male population > Age 60-64 | 129,599 | [77th of 224] |
Male population > Age 60-64 > % of the total | 0.46 | [224th of 224] |
Male population > Age 65-69 | 105,966 | [77th of 224] |
Male population > Age 65-69 > % of the total | 0.38 | [222nd of 224] |
Male population > Age 70-74 | 77,041 | [75th of 224] |
Male population > Age 70-74 > % of the total | 0.27 | [221st of 224] |
Male population > Age 75-79 | 49,231 | [80th of 224] |
Male population > Age 75-79 > % of the total | 0.17 | [218th of 224] |
Male population > Age 80-84 | 34,693 | [79th of 224] |
Male population > Age 80-84 > % of the total | 0.12 | [202nd of 224] |
Median age > Female | 15.1 years | [220th of 224] |
Median age > Male | 14.9 years | [220th of 224] |
Median age > Total | 15 years | [220th of 224] |
Nationality > Adjective | Ugandan | |
Nationality > Noun | Ugandan(s) | |
Percentage living in rural areas. | 88% | [3rd of 193] |
Percentage living in urban areas | 12% | [197th of 199] |
Population | 31,367,972 | [39th of 242] |
Population > CIA Factbook | 31,367,972 | [39th of 240] |
Population > Note estimates for this country explicitly take into account the effects of excess mortality due to AIDS; this can result in lower life expectancy, higher infant mortality and death rates, lower population and growth rates, and changes in the distribution of population by age and sex than would otherwise be expected (July 2007 est.) |
||
Population ages 0-14 > % of total | 50.46 % | [1st of 185] |
Population ages 15-64 > % of total | 47.09 % | [183rd of 185] |
Population ages 65 and above > % of total | 2.45 % | [173rd of 185] |
Population growth > annual % | 3.52 annual % | [6th of 195] |
Population growth rate | 3.603% | [4th of 235] |
Population in 2015 | 41,918 | [33rd of 225] |
Population in largest city | 1,318,711 | [86th of 118] |
Population in largest city (per capita) | 0.046 per capita | [110th of 118] |
Population in the largest city > % of urban population | 36.32 % | [38th of 118] |
Population in urban agglomerations > more than 1 million | 1,318,711 | [87th of 106] |
Population in urban agglomerations > more than 1 million (per capita) | 0.046 per capita | [102nd of 106] |
Population, female > % of total | 50 % | [128th of 190] |
Projected population growth | 250.65% | [2nd of 141] |
Rights of the Child Convention > Ratification Dates | 17 Aug 1990 | |
Rights of the Child Convention > Signatories | 17 Aug 1990 | |
Rural population | 25,185,380 | [20th of 193] |
Rural population (per capita) | 0.874 per capita | [4th of 194] |
Rural population growth > annual % | 3.4 annual % | [5th of 193] |
Sex ratio > 15-64 years | 1 | [123rd of 223] |
Sex ratio > 15-64 years | 1.01 male(s)/female | [97th of 224] |
Sex ratio > 65 years and over | 0.72 male(s)/female | [153rd of 223] |
Sex ratio > At birth | 1.03 male(s)/female | [199th of 223] |
Sex ratio > sex ratios > 15–65 | 1.01 | [94th of 215] |
Sex ratio > sex ratios > at birth | 1.03 | [201st of 215] |
Sex ratio > sex ratios > over 65 | 0.76 | [122nd of 215] |
Sex ratio > sex ratios > total | 1 | [81st of 215] |
Sex ratio > sex ratios > under 15 | 1.01 | [201st of 215] |
Sex ratio > Total population | 1 male(s)/female | [93rd of 224] |
Sex ratio > Under 15 years | 1.01 male(s)/female | [205th of 224] |
Total fertility rate | 6.81 children born/woman | [3rd of 225] |
Total Population | 28,195,754 | [41st of 227] |
Total population > Age 10-14 | 3,904,622 | [27th of 224] |
Total population > Age 10-14 > % of the total | 13.85 | [2nd of 224] |
Total population > Age 15-19 | 3,232,789 | [35th of 224] |
Total population > Age 15-19 > % of the total | 11.47 | [29th of 224] |
Total population > Age 20-24 | 2,578,677 | [41st of 224] |
Total population > Age 20-24 > % of the total | 9.15 | [100th of 224] |
Total population > Age 25-29 | 1,998,803 | [45th of 224] |
Total population > Age 25-29 > % of the total | 7.09 | [169th of 224] |
Total population > Age 30-34 | 1,581,814 | [51st of 224] |
Total population > Age 30-34 > % of the total | 5.61 | [218th of 224] |
Total population > Age 35-39 | 1,198,923 | [53rd of 224] |
Total population > Age 35-39 > % of the total | 4.25 | [217th of 224] |
Total population > Age 40-44 | 947,917 | [56th of 224] |
Total population > Age 40-44 > % of the total | 3.36 | [220th of 224] |
Total population > Age 45-49 | 725,146 | [59th of 224] |
Total population > Age 45-49 > % of the total | 2.57 | [222nd of 224] |
Total population > Age 50-54 | 518,237 | [71st of 224] |
Total population > Age 50-54 > % of the total | 1.84 | [223rd of 224] |
Total population > Age 55-59 | 390,054 | [74th of 224] |
Total population > Age 55-59 > % of the total | 1.38 | [222nd of 224] |
Total population > Age 60-64 | 316,941 | [69th of 224] |
Total population > Age 60-64 > % of the total | 1.12 | [222nd of 224] |
Total population > Age 65-69 | 253,631 | [67th of 224] |
Total population > Age 65-69 > % of the total | 0.9 | [220th of 224] |
Total population > Age 70-74 | 180,062 | [73rd of 224] |
Total population > Age 70-74 > % of the total | 0.64 | [221st of 224] |
Total population > Age 75-79 | 110,245 | [81st of 224] |
Total population > Age 75-79 > % of the total | 0.39 | [215th of 224] |
Total population > Age 80-84 | 74,367 | [83rd of 224] |
Total population > Age 80-84 > % of the total | 0.26 | [208th of 224] |
Total Population > Female | 14,074,989 | [39th of 227] |
Total Population > Male | 14,120,765 | [42nd of 227] |
Urban population | 3,630,845 | [90th of 195] |
Urban population (per capita) | 0.126 per capita | [191st of 196] |
Urban population growth > annual % | 4.31 annual % | [21st of 195] |
Urbanization | 15 | [200th of 204] |
Urbanization in 1975 | 8.3% | [159th of 164] |
Urbanization in 2015 | 20.7% | [160th of 164] |
Women > Adult literacy rate females as a % of males | 73 | [108th of 144] |
Women > Antenatal care coverage % | 92 | [51st of 133] |
Women > Contraceptive prevalence % | 23 | [141st of 170] |
Women > Life expectancy females as a % of males | 102 | [163rd of 173] |
Women > Maternal mortality ratio > reported | 510 | [30th of 154] |
Women > Maternal mortality ratio adjusted | 880 | [20th of 166] |
Women > Skilled attendant at delivery % | 39 | [153rd 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; Wikipedia:
London ;
U.S. Census Bureau, Population
Division, International Programs Center ; Human Development Reports, United
Nations 2002; Wikipedia:
Jewish population ;
Population Division of the United Nations Secretariat, World Urbanization
Prospects: The 2003 Revision, Data Tables and Highlights. Estimates and
projections of urban and rural populations are made by the Population Division
of the United Nations Secretariat and published every two years. These estimates
and projections are based on national census or survey data that have been
evaluated and, whenever necessary, adjusted for deficiencies and
inconsistencies; World
Development Indicators database and
CIA World Factbook;
CIA World Factbook, 14 June, 2007 ; Population Division of the Department of
Economic and Social Affairs of the United Nations Secretariat, World Population
Prospects: The 2004 Revision and World Urbanization Prospects:
http://esa.un.org/unpp; Population Reference Bureau, 2001 World Population Data
Sheet, Washington, DC: PRB, 2001. via ciesin.org; The Office of the High
Commissioner for Human Rights; The Office of the High Commissioner for Human
RIghts; Wikipedia: Sex ratio
; U.S. Census Bureau,
Population Division, International Programs Center
Spanish Statistical Institute; Population Division of
the United Nations Secretariat, World Urbanization Prospects: The 2001 Revision,
Data Tables and Highlights (ESA/P/WP.173, 20 March 2002); UN (United Nations).
2002. World Urbanization Prospects: The 2001 Revision. Department of Economic
and Social Affairs, Population Division. New York
ALTERNATIVE NAMES
Uganda, Republic of Uganda
Mortality
Death rate, crude > per 1,000 people | 14.52 per 1,000 people | [33rd of 195] |
rate, adult, female > per 1,000 female adults | 447.09 per 1,000 female adults | [24th of 185] |
rate, adult, male > per 1,000 male adults | 458.69 per 1,000 male adults | [25th of 185] |
rate, infant > per 1,000 live births | 79 per 1,000 live births | [32nd of 187] |
rate, under-5 > per 1,000 | 136 per 1,000 | [25th of 187] |
SOURCES
World Development Indicators
database
ALTERNATIVE NAMES
Uganda, Republic of Uganda
Immigration
immigrant population > Immigrants as percentage of state population | 1.876 | [127th of 195] |
immigrant population > Number of immigrants | 518,000 | [60th of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.5% | |
International migration stock > % of population | 1.8 % | [140th of 205] |
International migration stock, total | 518,158 | [61st of 205] |
Net migration | -15,000 | [99th of 180] |
Net migration (per capita) | -0.521 per 1 million people | [69th of 185] |
Net migration rate | 0.21 migrant(s)/1,000 populati | [74th of 225] |
Net
migration rate > A note according to the UNHCR, by the end of 2001, Uganda was host to 178,815 refugees from a number of neighboring countries, including: Sudan 155,996, Rwanda 14,375, and Democratic Republic of the Congo 7,459 (2002 est.) |
||
Refugee population by country or territory of asylum | 257,256 | [9th of 151] |
Refugee population by country or territory of asylum (per capita) | 8,927.469 per 1 million people | [12th of 162] |
Refugee population by country or territory of origin | 34,225 | [32nd of 77] |
Refugee population by country or territory of origin (per capita) | 1.188 per 1 million people | [39th of 77] |
Refugees | 206,930 | [19th of 110] |
Refugees (per capita) | 7.58847 per 1,000 people | [25th of 110] |
Refugees > Convention on refugees | 27 Sep 1976 a | |
Refugees > Outflow | 29,000 | [24th of 76] |
Refugees > Outflow (per capita) | 1.06348 per 1,000 people | [29th of 76] |
Refugees > US applications | 1 | [64th of 64] |
Refugees > US applications (per capita) | 0 per 1,000 people | [60th of 63] |
Refugees > US applications otherwise closed | 1 | [32nd of 39] |
Refugees > US applications otherwise closed (per capita) | 0 per 1,000 people | [29th of 38] |
Refugees and internally displaced persons > IDPs | 1,270,000 | [3rd of 40] |
Refugees and internally displaced persons > IDPs (per capita) | 41.966 per 1,000 people | [7th of 40] |
Refugees and internally displaced persons > Refugees (country of origin) 215,700 (Sudan); 28,880 (Democratic Republic of Congo); 24,900 (Rwanda) |
||
US visa lottery winners | 351 US visa lottery winners | [47th of 178] |
US visa lottery winners (per capita) | 12.8718 US visa lottery winners | [90th 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.; United States Citizenship and
Immigration Services; US Department of State: Bureau of Consular Affairs
ALTERNATIVE NAMES
Uganda, Republic of Uganda
Other articles in this category |
---|
Uganda at a glance |
Geography |
History |
Culture |
Economy (1) |
Economy (2) |
Politics |
Military |