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 | 1,119,683 sq km | [26th of 238] |
Area > Land (per capita) | 13.565 sq km per 1,000 people | [107th of 227] |
Area > Total | 1,127,127 sq km | [33rd of 250] |
Area > Total (per capita) | 13.655 sq km per 1,000 people | [111st of 231] |
Area > Water | 7,444 sq km | [52nd of 239] |
Area > Water (per capita) | 90.181 sq km per million people | [100th of 225] |
Capital city with population | Addis Ababa - 2,200,186 | |
Climate tropical monsoon with wide topographic-induced variation |
||
Coastline | 0 km | [229th of 271] |
Elevation extremes > Highest point | Ras Dejen 4,533 m | |
Elevation extremes > Lowest point | Denakil Depression -125 m | |
Forested Land | 4.2% | [167th of 193] |
Geographic coordinates | 8 00 N, 38 00 E | |
Geography > Note |
||
highest towns > Town/City | Addis Ababa | |
Irrigated land | 2,900 sq km | [65th of 196] |
Irrigated land (per capita) | 42.266 sq km per million people | [130th of 167] |
Land area > sq. km | 1,000,000 km² | [28th of 206] |
Land area > sq. km (per capita) | 14.034 km² per 1,000 people | [97th of 206] |
land border lengths > D-F > Number of neighbours | 5 | [2nd of 14] |
land border lengths > D-F > Total Borders | 5,328 km | [1st of 14] |
Land boundaries > Border countries |
||
Land boundaries > Total | 5,328 km | [28th of 166] |
Land boundaries > Total (per capita) | 64.547 km per million people | [137th of 164] |
Land use > Arable land | 10.01% | [112nd of 258] |
Land use > Other | 89.34% | [114th of 258] |
Land use > Permanent crops | 0.65% | [134th of 258] |
Largest city population | 2,431,000 | [41st of 174] |
Largest city population (per capita) | 0.033 per capita | [165th of 174] |
Largest city with population | Addis Ababa - 2,200,186 | |
Location Eastern Africa, west of Somalia |
||
Map references Africa |
||
Maritime claims | none (landlocked) | |
Natural hazards |
||
Natural resources |
||
Population density | 53.3 people per sqkm | [138th of 256] |
Population density > people per sq. km | 71.26 people/m² | [108th of 204] |
Rural population density > rural population per sq. km of arable land | 524.03 people/km² of arable lan | [50th of 188] |
Surface area > sq. km | 1,104,300 km² | [26th of 206] |
Surface area > sq. km (per capita) | 15.498 km² per 1,000 people | [91st of 207] |
tallest mountains > Mountain | Ras Dejen | |
Terrain |
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;
Heal The World Foundation.; Wikipedia:
List of
tallest mountains by country
ALTERNATIVE NAMES
Ethiopia, Federal Democratic Republic of Ethiopia, Ityop'iya Federalawi
Demokrasiyawi Ripeblik, Ityop'iya
Environment
Acidification | 0% | [56th of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 0.48 % of GNI | [68th of 179] |
Adjusted savings: net forest depletion > % of GNI | 5.04 % of GNI | [4th of 57] |
Adjusted savings: particulate emission damage > % of GNI | 0.33 % of GNI | [87th of 165] |
Areas under protection | 39 | [72nd of 146] |
Areas under protection (per capita) | 0.533859 per 1 million people | [127th of 146] |
Biodiversity richness | 1 | [48th of 53] |
Breeding birds threatened | 2.56% | [67th of 136] |
Carbon efficiency | 0.15 CO2 emissions/$ GDP | [135th of 141] |
CFC consumption | 24.8 | [95th of 107] |
CFC consumption (per capita) | 0.00033948 per 1,000 people | [97th of 107] |
CO2 Emissions | 3,648.6 | [111st of 178] |
CO2 Emissions (per capita) | 0.0499446 per 1,000 people | [170th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.14 kg/PPP$ | [139th of 170] |
CO2 emissions > kt | 7,333.33 kt | [100th of 195] |
CO2 emissions > kt (per capita) | 0.107 kt per 1,000 people | [180th of 196] |
CPIA policy and institutions for environmental sustainability rating | 3.5 | [19th of 75] |
Current issues |
||
Ecological footprint | 0.85 | [128th of 141] |
Endangered species protection | 90% | [30th of 141] |
Fertiliser consumption | 165.07 hundred grams/hectare | [101st of 141] |
Forest area > % of land area | 13 % of land area | [138th of 195] |
Forest area > sq. km | 130,000 km² | [40th of 195] |
Forest area > sq. km (per capita) | 1,824.408 km² per 1,000 people | [117th of 195] |
Freshwater withdrawal | 5.56 | [3rd of 124] |
Freshwater withdrawal > Agricultural | 94% | [1st of 124] |
Freshwater withdrawal > Domestic | 6% | [10th of 124] |
Freshwater withdrawal > Industrial | 0% | [11th of 124] |
Groundwater withdrawals | 0 | [105th of 188] |
International agreements > Party to |
||
International agreements > Signed but not ratified Environmental Modification, Law of the Sea |
||
Known breeding bird species | 262 | [32nd of 146] |
Known breeding bird species (per capita) | 3.58644 per 1 million people | [135th of 146] |
Known mammal species | 277 | [18th of 145] |
Known mammal species (per capita) | 3.79177 per 1 million people | [112nd of 145] |
Marine fish catch | 0 tons | [112nd of 141] |
Marine fish catch (per capita) | 0 tons per 1,000 people | [112nd of 141] |
Non-wildness | 0.31% | [121st of 141] |
NOx emissions per populated area | 0.13 thousand metric tons/squ | [114th of 141] |
Organic water pollutant (BOD) emissions > kg per day | 22,085.4 kg/day | [36th of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.23 kg per day per worker | [8th of 115] |
PM10, country level > micrograms per cubic meter | 76.03 mcg/m³ | [32nd of 185] |
Pollution > Carbon dioxide 1999 | 1,502 | [104th of 199] |
Protected area | 5.5 | [74th of 147] |
SO2 emissions per populated area | 70 thousand metric tons/squ | [132nd of 141] |
SO2 exports | 1,360.06 hundred metric tons | [65th of 141] |
Threatened species | 60 | [33rd of 158] |
Threatened species > Mammal | 35 | [15th of 160] |
Total renewable water resources | 110 cu km | [8th of 31] |
Urban NO2 concentration | 29.96 micrograms/m3 | [120th of 141] |
Urban SO2 concentration | 97.46 micrograms/m3 | [27th of 141] |
Water > Availability | 2.17 thousand cubic metres | [81st of 141] |
Water > Dissolved oxygen concentration | 5.79 mls/litre | [119th of 141] |
Water > Freshwater pollution | 0.16 tons/cubic km | [55th of 69] |
Water > Phosphorus concentration | 0.38 mls/litre | [54th of 141] |
Water > Salinisation | 871.56 | [51st of 141] |
Water > Severe water stress | 24.7 | [46th of 140] |
Water > Suspended solids | 3.59 mls/litre | [114th of 141] |
Water pollution, chemical industry > % of total BOD emissions | 5.5 % | [43rd of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.27 % | [24th of 112] |
Water pollution, food industry > % of total BOD emissions | 60.97 % | [9th of 114] |
Water pollution, metal industry > % of total BOD emissions | 2.28 % | [36th of 94] |
Water pollution, other industry > % of total BOD emissions | 0.69 % | [43rd of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 10.97 % | [34th of 111] |
Water pollution, textile industry > % of total BOD emissions | 17.33 % | [11th of 114] |
Water pollution, wood industry > % of total BOD emissions | 2 % | [29th of 114] |
Wildness | 14.91% | [57th 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;
World Bank, World Development Indicators 2001, Washington, DC: World Bank, 2001
(for BOD emissions)and Center for Environmental Systems Research, University of
Kassel, WaterGap 2.1, 2000 (for data on waterquantity). 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; 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
Ethiopia, Federal Democratic Republic of Ethiopia, Ityop'iya Federalawi
Demokrasiyawi Ripeblik, Ityop'iya
2) Human geography
Age distribution
Labor
Agricultural workers > Female | 88% | [1st of 77] |
Agricultural workers > Male | 89% | [1st of 78] |
Child employment in agriculture > % of economically active children ages 7-14 | 93.45 % | [2nd of 11] |
Child employment in agriculture, female > % of female economically active children ages 7-14 | 88.72 % | [3rd of 11] |
Child employment in agriculture, male > % of male economically active children ages 7-14 | 96.49 % | [1st of 11] |
Child employment in manufacturing > % of economically active children ages 7-14 | 1.37 % | [8th of 10] |
Child employment in manufacturing, female > % of female economically active children ages 7-14 | 2.79 % | [6th of 10] |
Child employment in manufacturing, male > % of male economically active children ages 7-14 | 0.45 % | [9th of 10] |
Child employment in services > % of economically active children ages 7-14 | 3.96 % | [10th of 11] |
Child employment in services, female > % of female economically active children ages 7-14 | 6.18 % | [10th of 11] |
Child employment in services, male > % of male economically active children ages 7-14 | 2.53 % | [10th of 11] |
Compensation of employees > % of expense | 13.52 % | [68th of 97] |
Compensation of employees > current LCU | 1859900000 | |
CPIA building human resources rating | 3.5 | [26th of 75] |
Economic activity > Both sexes aged 10-14 | 41.1 | [8th of 89] |
Economic activity > Both sexes aged 15-19 | 56.75 | [30th of 167] |
Economic activity > Both sexes aged 20-24 | 69.91 | [108th of 166] |
Economic activity > Both sexes aged 25-29 | 77.27 | [112nd of 167] |
Economic activity > Both sexes aged 30-34 | 78.41 | [112nd of 165] |
Economic activity > Both sexes aged 35-39 | 79.46 | [109th of 166] |
Economic activity > Both sexes aged 40-44 | 80.06 | [99th of 167] |
Economic activity > Both sexes aged 45-49 | 80.17 | [93rd of 163] |
Economic activity > Both sexes aged 50-54 | 77.75 | [76th of 166] |
Economic activity > Both sexes aged 55-59 | 75.85 | [37th of 166] |
Economic activity > Both sexes aged 60-64 | 70.2 | [22nd of 166] |
Economic activity > Both sexes aged 65 plus | 52.25 | [17th of 165] |
Economic activity > Men aged 10-14 | 42.45 | [7th of 92] |
Economic activity > Men aged 15-19 | 59.68 | [40th of 164] |
Economic activity > Men aged 20-24 | 80.03 | [124th of 166] |
Economic activity > Men aged 25-29 | 93.94 | [121st of 165] |
Economic activity > Men aged 30-34 | 96.31 | [138th of 165] |
Economic activity > Men aged 35-39 | 97.33 | [98th of 164] |
Economic activity > Men aged 40-44 | 97.18 | [73rd of 163] |
Economic activity > Men aged 45-49 | 97.11 | [47th of 167] |
Economic activity > Men aged 50-54 | 94.98 | [46th of 165] |
Economic activity > Men aged 55-59 | 93.52 | [31st of 167] |
Economic activity > Men aged 60-64 | 90.38 | [16th of 165] |
Economic activity > Men aged 65 plus | 74.63 | [12th of 162] |
Economic activity > Women aged 10-14 | 39.76 | [7th of 89] |
Economic activity > Women aged 15-19 | 53.7 | [28th of 164] |
Economic activity > Women aged 20-24 | 59.35 | [106th of 166] |
Economic activity > Women aged 30-34 | 59.99 | [110th of 167] |
Economic activity > Women aged 35-39 | 61.05 | [108th of 165] |
Economic activity > Women aged 40-44 | 62.35 | [96th of 165] |
Economic activity > Women aged 45-49 | 62.74 | [95th of 161] |
Economic activity > Women aged 50-54 | 60.43 | [81st of 166] |
Economic activity > Women aged 55-59 | 58.48 | [47th of 167] |
Economic activity > Women aged 60-64 | 51.28 | [32nd of 165] |
Economic activity > Women aged 65 plus | 34.28 | [22nd of 167] |
Economically active children, female | 45.88 % | [2nd of 34] |
Economically active children, male | 67.87 % | [1st of 34] |
Economically active children, study and work | 36.54 % | [12th of 34] |
Economically active children, study and work, female | 29.09 % | [11th of 34] |
Economically active children, study and work, male | 41.38 % | [11th of 34] |
Economically active children, total | 57.09 % | [1st of 34] |
Economically active children, work only | 63.46 % | [3rd of 34] |
Economically active children, work only, female | 70.91 % | [3rd of 33] |
Economically active children, work only, male | 58.62 % | [3rd of 34] |
Employees, agriculture, female > % of female employment | 70 % | [2nd of 86] |
Employees, agriculture, male > % of male employment | 84.1 % | [1st of 86] |
Employees, industry, female > % of female employment | 7.6 % | [78th of 86] |
Employees, industry, male > % of male employment | 4.8 % | [85th of 86] |
Employees, services, female > % of female employment | 22.4 % | [81st of 86] |
Employees, services, male > % of male employment | 11.1 % | [85th of 86] |
Employment in agriculture > % of total employment | 77.9 % | [1st of 94] |
Employment in industry > % of total employment | 6.1 % | [92nd of 94] |
Employment in services > % of total employment | 16.1 % | [91st of 94] |
Female economic activity | 57.3% | [62nd of 156] |
Female economic activity growth | -1% | [117th of 156] |
Firing cost > weeks of wages | 40.1 weeks of wages | [78th of 164] |
force participation rate, female > % of female population ages 15-64 | 73.49 % | [23rd of 184] |
force participation rate, male > % of male population ages 15-64 | 90.65 % | [13th of 184] |
force participation rate, total > % of total population ages 15-64 | 81.99 % | [14th of 184] |
force with primary education > % of total | 20.6 % | [20th of 48] |
force with secondary education > % of total | 2.2 % | [34th of 51] |
force with tertiary education > % of total | 1.1 % | [33rd of 52] |
force, female > % of total labor force | 44.89 % | [63rd of 184] |
force, total | 31,586,610 | [16th of 184] |
force, total (per capita) | 0.443 per capita | [91st of 184] |
Industrial workers > Female | 2% | [80th of 79] |
Industrial workers > Male | 2% | [80th of 79] |
Labor force | 27,270,000 | [5th of 132] |
Labor force (per capita) | 434,360.167 per million people | [17th of 131] |
Minimum Age Convention, 1973 > Ratifications > Date | May 27, 1999 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 14 | [134th of 146] |
Parental leave > Paid maternity leave | 90 days | |
Parental leave > Unpaid maternity
leave Five days of unpaid leave in the event of exceptional or serious events |
||
Regulation | 51 | [71st of 123] |
Regulation > Employment Conditions | 67 | [72nd of 123] |
Regulation > Firing | 29 | [82nd of 123] |
Regulation > Hiring | 58 | [38th of 123] |
regulations > % of managers surveyed ranking this as a major business constraint | 4.48 % | [6th of 39] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | June 4, 1963 | |
Rigidity of employment index | 34 | [92nd of 166] |
Service workers > Female | 11% | [79th of 79] |
Service workers > Male | 9% | [80th of 79] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 40.6 % | [85th of 174] |
skills > % of managers surveyed ranking this as a major business constraint | 17.69 % | [5th of 38] |
Unemployment with secondary education, female > % of female unemployment | 66.7 % | [9th of 71] |
Unemployment with secondary education, male > % of male unemployment | 57 % | [18th of 71] |
Unemployment with tertiary education > % of total unemployment | 8.1 % | [49th of 77] |
Unemployment with tertiary education, female > % of female unemployment | 4.2 % | [59th of 71] |
Unemployment with tertiary education, male > % of male unemployment | 11.2 % | [32nd of 71] |
Unemployment, female > % of female labor force | 31.2 % | [3rd of 95] |
Unemployment, male > % of male labor force | 15.8 % | [7th of 95] |
Unemployment, total > % of total labor force | 23.1 % | [4th of 101] |
Unemployment, youth female > % of female labor force ages 15-24 | 11.2 % | [41st of 77] |
Unemployment, youth male > % of male labor force ages 15-24 | 4.1 % | [57th of 77] |
Unemployment, youth total > % of total labor force ages 15-24 | 7.7 % | [54th of 77] |
Workers' remittances and compensation of employees, paid > US$ | 16,000,000 $ | [116th of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 1.432 $ per $1,000 of GDP | [107th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 0.225 $ per 1,000 people | [139th of 167] |
Workers' remittances and compensation of employees, received > US$ | 174,000,000 $ | [99th of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 15.571 $ per $1,000 of GDP | [75th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 2.442 $ per capita | [146th of 167] |
Workers' remittances, receipts > BoP, current US$ | 173,519,400 BoP $ | [58th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 15.528 BoP $ per $1 million of | [47th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 2.435 BoP $ per 1,000 people | [85th of 143] |
SOURCES
ILO (International Labour Organization). 2002.
Key Indicators of the Labour Market
2001-2002. February 2002;
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
Ethiopia, Federal Democratic Republic of Ethiopia, Ityop'iya Federalawi
Demokrasiyawi Ripeblik, Ityop'iya
People
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;
University Libraries, Ohio University;
U.S. Census Bureau,
Population Division, International Programs Center ; Human Development
Reports, United Nations 2002; Wikipedia:
Greek diaspora ;
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; 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;
UNICEF
ALTERNATIVE NAMES
Ethiopia, Federal
Democratic Republic of Ethiopia, Ityop'iya Federalawi Demokrasiyawi Ripeblik,
Ityop'iya
Mortality
Death rate, crude > per 1,000 people | 19.16 per 1,000 people | [18th of 195] |
rate, adult, female > per 1,000 female adults | 424.75 per 1,000 female adults | [26th of 185] |
rate, adult, male > per 1,000 male adults | 451.4 per 1,000 male adults | [28th of 185] |
rate, infant > per 1,000 live births | 79.7 per 1,000 live births | [31st of 187] |
rate, under-5 > per 1,000 | 127 per 1,000 | [29th of 187] |
SOURCES
World Development Indicators database
ALTERNATIVE NAMES
Ethiopia, Federal Democratic Republic of Ethiopia, Ityop'iya Federalawi
Demokrasiyawi Ripeblik, Ityop'iya
Immigration
immigrant population > Immigrants as percentage of state population | 0.7393 | [155th of 195] |
immigrant population > Number of immigrants | 555,000 | [57th of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.5% | |
International migration stock > % of population | 0.78 % | [166th of 205] |
International migration stock, total | 555,054 | [58th of 205] |
Net migration | -150,335 | [142nd of 180] |
Net migration (per capita) | -2.11 per 1 million people | [88th of 185] |
Net migration rate | 0 migrant(s)/1,000 populati | [86th of 225] |
Net
migration rate > A note |
||
Refugee population by country or territory of asylum | 100,817 | [23rd of 151] |
Refugee population by country or territory of asylum (per capita) | 1,414.856 per 1 million people | [60th of 162] |
Refugee population by country or territory of origin | 65,461 | [24th of 77] |
Refugee population by country or territory of origin (per capita) | 0.919 per 1 million people | [41st of 77] |
Refugees | 284,930 | [15th of 110] |
Refugees (per capita) | 3.90032 per 1,000 people | [40th of 110] |
Refugees > Convention on refugees | 10 Nov 1969 a | |
Refugees > Outflow | 61,000 | [16th of 76] |
Refugees > Outflow (per capita) | 0.83501 per 1,000 people | [34th of 76] |
Refugees > US acceptance rates | 1.7 | [50th of 49] |
Refugees > US applications | 14,585 | [2nd of 64] |
Refugees > US applications (per capita) | 0.19965 per 1,000 people | [6th of 63] |
Refugees > US applications approved | 249 | [14th of 53] |
Refugees > US applications approved (per capita) | 0.00340848 per 1,000 people | [23rd of 52] |
Refugees > US applications denied | 1,097 | [6th of 41] |
Refugees > US applications denied (per capita) | 0.0150165 per 1,000 people | [9th of 40] |
Refugees > US applications otherwise closed | 7,891 | [2nd of 39] |
Refugees > US applications otherwise closed (per capita) | 0.108017 per 1,000 people | [3rd of 38] |
Refugees and internally displaced persons > IDPs | 200,000 | [12th of 40] |
Refugees and internally displaced persons > IDPs (per capita) | 2.614 per 1,000 people | [26th of 40] |
Refugees and internally displaced persons > Refugees (country of
origin) |
||
to Sweden | 11,200 | [23rd of 24] |
US visa lottery winners | 6,353 US visa lottery winners | [3rd of 178] |
US visa lottery winners (per capita) | 86.9643 US visa lottery winners | [21st 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; Wikipedia:
Demographics of
Sweden ; US Department of State: Bureau of Consular Affairs
ALTERNATIVE NAMES
Ethiopia, Federal Democratic Republic of Ethiopia, Ityop'iya Federalawi
Demokrasiyawi Ripeblik, Ityop'iya
Other articles in this category |
---|
Ethiopia at a glance |
Geography |
History |
Culture |
Economy (1) |
Economy (2) |
Politics |
Military |