1) Natural Geography
Geography
Area > Comparative |
||
Area >
Comparative to US places |
||
Area > Land |
1,220,000 sq km |
[24th of 238] |
Area > Land (per capita) |
98.994 sq km per 1,000 people |
[23rd of 227] |
Area > Total |
1,240,000 sq km |
[30th of 250] |
Area > Total (per capita) |
100.616 sq km per 1,000 people |
[22nd of 231] |
Area > Water |
20,000 sq km |
[26th of 239] |
Area > Water (per capita) |
1,622.846 sq km per million people |
[25th of 225] |
Capital city with population |
Bamako - 746,000 |
|
Climate |
||
Coastline |
0 km |
[231st of 271] |
Elevation extremes > Highest point |
Hombori Tondo 1,155 m |
|
Elevation extremes > Lowest point |
Senegal River 23 m |
|
Forested Land |
10.8% |
[144th of 193] |
Geographic coordinates |
17 00 N, 4 00 W |
|
Geography > Note |
||
Irrigated land |
2,360 sq km |
[71st of 196] |
Irrigated land (per capita) |
185.3 sq km per million people |
[86th of 167] |
Land area > sq. km |
1,220,190 km² |
[23rd of 206] |
Land area > sq. km (per capita) |
90.261 km² per 1,000 people |
[21st of 206] |
Land
boundaries > Border countries |
||
Land boundaries > Total |
7,243 km |
[14th of 166] |
Land boundaries > Total (per capita) |
587.714 km per million people |
[29th of 164] |
Land use > Arable land |
3.76% |
[160th of 258] |
Land use > Other |
96.21% |
[72nd of 258] |
Land use > Permanent crops |
0.03% |
[187th of 258] |
Largest city |
Bamako |
|
Largest city population |
919,000 |
[94th of 174] |
Largest city population (per capita) |
0.081 per capita |
[134th of 174] |
Largest city with population |
Bamako - 746,000 |
|
Location |
||
Map references |
||
Maritime claims |
none (landlocked) |
|
Natural hazards |
||
Natural resources |
||
northernmost point > Latitude |
25°00'N |
|
Population density |
8.55 people per sqkm |
[208th of 256] |
Population density > people per sq. km |
11.08 people/m² |
[184th of 204] |
Precipitation |
878 mm |
[40th of 95] |
Rural population density > rural population per sq. km of arable land |
195.74 people/km² of arable lan |
[38th of 188] |
Surface area > sq. km |
1,240,190 km² |
[23rd of 206] |
Surface area > sq. km (per capita) |
91.741 km² per 1,000 people |
[20th of 207] |
tallest mountains > Mountain |
Hombori Tondo |
|
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;
World Development Indicators
database; 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 Mali, Republic of Mali, Republique de Mali
Environment
Acidification |
0% |
[73rd of 141] |
Adjusted savings; carbon dioxide damage > % of GNI |
0.09 % of GNI |
[160th of 179] |
Adjusted savings; particulate emission damage > % of GNI |
1.12 % of GNI |
[22nd of 165] |
Areas under protection |
13 |
[102nd of 146] |
Areas under protection (per capita) |
1.13885 per 1 million people |
[103rd of 146] |
Biosphere reserves area |
2,500 thousand hectares |
[19th of 86] |
Biosphere reserves area (per capita) |
219.01 thousand hectares per 1 |
[13th of 86] |
Breeding birds threatened |
1.01% |
[115th of 136] |
Carbon efficiency |
0.18 CO2 emissions/$ GDP |
[132nd of 141] |
CFC consumption |
1,180.63 |
[63rd of 107] |
CFC consumption (per capita) |
0.103428 per 1,000 people |
[56th of 107] |
CO2 Emissions |
568.3 |
[148th of 178] |
CO2 Emissions (per capita) |
0.0497854 per 1,000 people |
[171st of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP |
0.05 kg/PPP$ |
[157th of 170] |
CO2 emissions > kt |
553.11 kt |
[164th of 195] |
CO2 emissions > kt (per capita) |
0.043 kt per 1,000 people |
[189th of 196] |
CPIA policy and institutions for environmental sustainability rating |
3 |
[44th of 75] |
Current
issues |
||
Ecological footprint |
0.86 |
[127th of 141] |
Endangered species protection |
100% |
[10th of 141] |
Fertiliser consumption |
114.25 hundred grams/hectare |
[110th of 141] |
Forest area > % of land area |
10.3 % of land area |
[147th of 195] |
Forest area > sq. km |
125,720 km² |
[43rd of 195] |
Forest area > sq. km (per capita) |
9,299.903 km² per 1,000 people |
[49th of 195] |
Freshwater withdrawal |
6.55 |
[48th of 124] |
Freshwater withdrawal > Agricultural |
90% |
[33rd of 124] |
Freshwater withdrawal > Domestic |
9% |
[79th of 124] |
Freshwater withdrawal > Industrial |
1% |
[106th of 124] |
Groundwater withdrawals |
11.6 |
[82nd of 188] |
International agreements > Party to |
||
International agreements > Signed but not ratified |
||
Known breeding bird species |
191 |
[91st of 146] |
Known breeding bird species (per capita) |
16.7324 per 1 million people |
[81st of 146] |
Known mammal species |
137 |
[65th of 145] |
Known mammal species (per capita) |
12.0018 per 1 million people |
[70th of 145] |
Marine fish catch |
0 tons |
[115th of 141] |
Marine fish catch (per capita) |
0 tons per 1,000 people |
[115th of 141] |
Non-wildness |
0.18% |
[128th of 141] |
NOx emissions per populated area |
0.12 thousand metric tons/squ |
[116th of 141] |
PM10, country level > micrograms per cubic meter |
165.2 mcg/m³ |
[2nd of 185] |
Pollution > Carbon dioxide 1999 |
136 |
[159th of 199] |
Protected area |
3.7 |
[94th of 147] |
SO2 emissions per populated area |
70 thousand metric tons/squ |
[134th of 141] |
SO2 exports |
793 hundred metric tons |
[95th of 141] |
Threatened species |
20 |
[93rd of 158] |
Threatened species > Mammal |
13 |
[56th of 160] |
Total renewable water resources |
100 cu km |
[3rd of 31] |
Urban NO2 concentration |
60.58 micrograms/m3 |
[44th of 141] |
Urban SO2 concentration |
134.39 micrograms/m3 |
[11th of 141] |
Water > Availability |
0.4 thousand cubic metres |
[120th of 141] |
Water > Dissolved oxygen concentration |
8.46 mls/litre |
[51st of 141] |
Water > Phosphorus concentration |
0.15 mls/litre |
[107th of 141] |
Water > Salinisation |
120.77 |
[134th of 141] |
Water > Severe water stress |
2.7 |
[73rd of 140] |
Water > Suspended solids |
4.55 mls/litre |
[83rd of 141] |
Wetlands of intl importance > Area |
162 thousand hectares |
[54th of 112] |
Wetlands of intl importance > Area (per capita) |
14.1919 thousand hectares per 1 m |
[51st of 112] |
Wildness |
59.81% |
[16th 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
Mali, Republic of
Mali, Republique de Mali
2) Human Geography
Age distribution
Age and sex distribution for the year 1990
Age and sex distribution for the year 1995
Age and sex distribution for the year 2000
Age and sex distribution for the year 2003
Age and sex distribution for the year 2005
Age and sex distribution for the year 2010
Predicted age and sex distribution for the year 2020
Predicted age and sex distribution for the year 2050
US Census Bureau July 17, 2003
Labor
CPIA building human resources rating |
3.5 |
[37th of 75] |
Economic activity > Both sexes aged 10-14 |
51.13 |
[1st of 89] |
Economic activity > Both sexes aged 15-19 |
68.06 |
[9th of 167] |
Economic activity > Both sexes aged 20-24 |
80.99 |
[30th of 166] |
Economic activity > Both sexes aged 25-29 |
86.46 |
[51st of 167] |
Economic activity > Both sexes aged 30-34 |
87.84 |
[61st of 165] |
Economic activity > Both sexes aged 35-39 |
88.7 |
[59th of 166] |
Economic activity > Both sexes aged 40-44 |
89.36 |
[52nd of 167] |
Economic activity > Both sexes aged 50-54 |
85.42 |
[32nd of 166] |
Economic activity > Both sexes aged 55-59 |
80.76 |
[22nd of 166] |
Economic activity > Both sexes aged 60-64 |
71.6 |
[20th of 166] |
Economic activity > Both sexes aged 65 plus |
48.08 |
[28th of 165] |
Economic activity > Men aged 10-14 |
53.32 |
[2nd of 92] |
Economic activity > Men aged 15-19 |
70.97 |
[9th of 164] |
Economic activity > Men aged 20-24 |
89.29 |
[26th of 166] |
Economic activity > Men aged 25-29 |
97.02 |
[29th of 165] |
Economic activity > Men aged 30-34 |
97.58 |
[54th of 165] |
Economic activity > Men aged 35-39 |
97.64 |
[81st of 164] |
Economic activity > Men aged 40-44 |
97.34 |
[58th of 163] |
Economic activity > Men aged 45-49 |
97.23 |
[37th of 167] |
Economic activity > Men aged 50-54 |
95.85 |
[32nd of 165] |
Economic activity > Men aged 55-59 |
93.87 |
[27th of 167] |
Economic activity > Men aged 60-64 |
88.16 |
[24th of 165] |
Economic activity > Men aged 65 plus |
69.41 |
[27th of 162] |
Economic activity > Women aged 10-14 |
48.95 |
[1st of 89] |
Economic activity > Women aged 15-19 |
65.16 |
[13th of 164] |
Economic activity > Women aged 20-24 |
72.81 |
[48th of 166] |
Economic activity > Women aged 25-29 |
76.15 |
[59th of 165] |
Economic activity > Women aged 30-34 |
78.41 |
[58th of 167] |
Economic activity > Women aged 35-39 |
80.13 |
[57th of 165] |
Economic activity > Women aged 40-44 |
81.87 |
[56th of 165] |
Economic activity > Women aged 45-49 |
79.59 |
[49th of 161] |
Economic activity > Women aged 50-54 |
76.24 |
[38th of 166] |
Economic activity > Women aged 55-59 |
69.56 |
[24th of 167] |
Economic activity > Women aged 60-64 |
57.84 |
[20th of 165] |
Economic activity > Women aged 65 plus |
31.64 |
[32nd of 167] |
Economically active children, female |
18.6 % |
[6th of 34] |
Economically active children, male |
32.3 % |
[4th of 34] |
Economically active children, study and work |
31.27 % |
[13th of 34] |
Economically active children, study and work, female |
27.3 % |
[12th of 34] |
Economically active children, study and work, male |
33.68 % |
[12th of 34] |
Economically active children, total |
25.29 % |
[6th of 34] |
Economically active children, work only |
68.73 % |
[2nd of 34] |
Economically active children, work only, female |
72.7 % |
[2nd of 33] |
Economically active children, work only, male |
66.32 % |
[2nd of 34] |
Female economic activity |
70.1% |
[20th of 156] |
Female economic activity growth |
-3% |
[146th of 156] |
Firing cost > weeks of wages |
31.4 weeks of wages |
[100th of 164] |
force participation rate, female > % of female population ages 15-64 |
74.78 % |
[20th of 184] |
force participation rate, male > % of male population ages 15-64 |
85.06 % |
[51st of 184] |
force participation rate, total > % of total population ages 15-64 |
79.83 % |
[22nd of 184] |
force, female > % of total labor force |
47.52 % |
[25th of 184] |
force, total |
5,458,978 |
[67th of 184] |
force, total (per capita) |
0.404 per capita |
[132nd of 184] |
Labor force |
5,400,000 |
[54th of 132] |
Labor force (per capita) |
450,172.491 per million people |
[64th of 131] |
Labor
force > By occupation |
||
Labor force > By occupation > Agriculture |
80% |
[3rd of 32] |
Labor force > By occupation > Industry and services |
20% |
[12th of 22] |
Minimum Age Convention, 1973 > Ratifications > Date |
March 11, 2002 |
|
Minimum Age Convention, 1973 > Ratifications > Minimum age |
15 |
[82nd of 146] |
Parental leave > Paid maternity leave |
14 weeks |
|
Regulation |
54 |
[64th of 123] |
Regulation > Employment Conditions |
86 |
[32nd of 123] |
Regulation > Firing |
23 |
[99th of 123] |
Regulation > Hiring |
53 |
[58th of 123] |
regulations > % of managers surveyed ranking this as a major business constraint |
3.9 % |
[16th of 39] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date |
March 2, 1964 |
|
Rigidity of employment index |
51 |
[42nd of 166] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment |
32.7 % |
[104th of 174] |
skills > % of managers surveyed ranking this as a major business constraint |
20.78 % |
[11th of 38] |
Unemployment rate |
30% |
[9th of 107] |
Unemployment, female > % of female labor force |
10.9 % |
[29th of 95] |
Unemployment, male > % of male labor force |
7.2 % |
[38th of 95] |
Unemployment, total > % of total labor force |
8.8 % |
[32nd of 101] |
Workers' remittances and compensation of employees, paid > US$ |
64,000,000 $ |
[72nd of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) |
12.063 $ per $1,000 of GDP |
[40th of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) |
4.734 $ per 1,000 people |
[102nd of 167] |
Workers' remittances and compensation of employees, received > US$ |
155,000,000 $ |
[101st of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) |
29.216 $ per $1,000 of GDP |
[61st of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) |
11.466 $ per capita |
[124th of 167] |
Workers' remittances, receipts > BoP, current US$ |
138,077,000 BoP $ |
[63rd of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) |
28.328 BoP $ per $1 million of |
[40th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) |
10.521 BoP $ per 1,000 people |
[70th 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 Mali, Republic of
Mali, Republique de Mali
Lifestyle
Life satisfaction inequality |
2.2 |
[68th of 87] |
SOURCES 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 Mali, Republic of Mali, Republique de Mali
People
African countries by population density > area |
1,240,000 |
[8th of 56] |
African countries by population density > pop. dens. |
9.1 |
[46th of 56] |
African countries by population density > population |
11,340,480 |
[19th of 56] |
Age dependency ratio > dependents to working-age population |
1.04 |
[3rd of 185] |
Age structure > 0-14 years |
48.2 % |
[2nd of 225] |
Age structure > 0-14 years |
47.1 |
[7th of 226] |
Age structure > 0-14 years > Females |
2,937,138 |
[55th of 225] |
Age structure > 0-14 years > From total |
48.2% |
[2nd of 227] |
Age structure > 0-14 years > Males |
3,004,003 |
[57th of 225] |
Age structure > 15-64 years |
50 |
[222nd of 226] |
Age structure > 15-64 years |
48.8 % |
[223rd of 225] |
Age structure > 15-64 years > Females |
3,028,433 |
[81st of 225] |
Age structure > 15-64 years > From total |
48.7% |
[220th of 227] |
Age structure > 15-64 years > Males |
2,976,314 |
[82nd of 225] |
Age structure > 65 years and over |
3 % |
[186th of 225] |
Age structure > 65 years and over > Females |
227,544 |
[99th of 225] |
Age structure > 65 years and over > From total |
3.1% |
[176th of 227] |
Age structure > 65 years and over > Males |
150,597 |
[106th of 225] |
Birth rate |
49.38 births/1,000 population |
[2nd of 226] |
Child Protection > Child labour 5-14 years, % of female |
28 |
[17th of 46] |
Child Protection > Child labour 5-14 years, % of male |
33 |
[13th of 46] |
Child Protection > Child labour 5-14 years, % of poorest 20% |
35 |
[16th of 43] |
Child Protection > Child labour 5-14 years, % of richest 20% |
18 |
[13th of 43] |
Child Protection > Child labour 5-14 years, % of rural |
35 |
[15th of 42] |
Child Protection > Child labour 5-14 years, % of total |
30 |
[15th of 46] |
Child Protection > Child labour 5-14 years, % of urban |
18 |
[18th of 42] |
CPIA social protection rating |
3.5 |
[36th of 75] |
Death rate |
16.16 deaths/1,000 population |
[17th of 226] |
Education expenditures |
4.5 % of GDP |
[19th of 55] |
Ethnic groups |
||
Female population > Age 10-14 |
737,715 |
[64th of 224] |
Female population > Age 10-14 > % of the total |
6.3 |
[29th of 224] |
Female population > Age 15-19 |
620,043 |
[71st of 224] |
Female population > Age 15-19 > % of the total |
5.29 |
[75th of 224] |
Female population > Age 20-24 |
499,258 |
[72nd of 224] |
Female population > Age 20-24 > % of the total |
4.26 |
[124th of 224] |
Female population > Age 25-29 |
429,972 |
[72nd of 224] |
Female population > Age 25-29 > % of the total |
3.67 |
[144th of 224] |
Female population > Age 30-34 |
318,649 |
[83rd of 224] |
Female population > Age 30-34 > % of the total |
2.72 |
[212nd of 224] |
Female population > Age 35-39 |
243,615 |
[90th of 224] |
Female population > Age 35-39 > % of the total |
2.08 |
[212nd of 224] |
Female population > Age 40-44 |
178,904 |
[100th of 224] |
Female population > Age 40-44 > % of the total |
1.53 |
[222nd of 224] |
Female population > Age 45-49 |
172,059 |
[97th of 224] |
Female population > Age 45-49 > % of the total |
1.47 |
[215th of 224] |
Female population > Age 50-54 |
164,520 |
[94th of 224] |
Female population > Age 50-54 > % of the total |
1.4 |
[198th of 224] |
Female population > Age 55-59 |
152,913 |
[82nd of 224] |
Female population > Age 55-59 > % of the total |
1.31 |
[152nd of 224] |
Female population > Age 60-64 |
130,164 |
[80th of 224] |
Female population > Age 60-64 > % of the total |
1.11 |
[134th of 224] |
Female population > Age 65-69 |
97,742 |
[87th of 224] |
Female population > Age 65-69 > % of the total |
0.83 |
[146th of 224] |
Female population > Age 70-74 |
60,474 |
[97th of 224] |
Female population > Age 70-74 > % of the total |
0.52 |
[160th of 224] |
Female population > Age 75-79 |
33,578 |
[109th of 224] |
Female population > Age 75-79 > % of the total |
0.29 |
[183rd of 224] |
Female population > Age 80-84 |
18,960 |
[119th of 224] |
Female population > Age 80-84 > % of the total |
0.16 |
[202nd of 224] |
Gender development |
0.378 |
[134th of 141] |
Male population > Age 10-14 |
769,303 |
[63rd of 224] |
Male population > Age 10-14 > % of the total |
6.57 |
[16th of 224] |
Male population > Age 15-19 |
658,309 |
[70th of 224] |
Male population > Age 15-19 > % of the total |
5.62 |
[49th of 224] |
Male population > Age 20-24 |
560,297 |
[69th of 224] |
Male population > Age 20-24 > % of the total |
4.78 |
[73rd of 224] |
Male population > Age 25-29 |
468,351 |
[71st of 224] |
Male population > Age 25-29 > % of the total |
4 |
[105th of 224] |
Male population > Age 30-34 |
350,044 |
[80th of 224] |
Male population > Age 30-34 > % of the total |
2.99 |
[205th of 224] |
Male population > Age 35-39 |
254,456 |
[89th of 224] |
Male population > Age 35-39 > % of the total |
2.17 |
[220th of 224] |
Male population > Age 40-44 |
171,033 |
[102nd of 224] |
Male population > Age 40-44 > % of the total |
1.46 |
[224th of 224] |
Male population > Age 45-49 |
111,793 |
[122nd of 224] |
Male population > Age 45-49 > % of the total |
0.95 |
[224th of 224] |
Male population > Age 50-54 |
76,858 |
[127th of 224] |
Male population > Age 50-54 > % of the total |
0.66 |
[224th of 224] |
Male population > Age 55-59 |
75,170 |
[111st of 224] |
Male population > Age 55-59 > % of the total |
0.64 |
[221st of 224] |
Male population > Age 60-64 |
78,033 |
[98th of 224] |
Male population > Age 60-64 > % of the total |
0.67 |
[193rd of 224] |
Male population > Age 65-69 |
63,575 |
[98th of 224] |
Male population > Age 65-69 > % of the total |
0.54 |
[196th of 224] |
Male population > Age 70-74 |
43,316 |
[100th of 224] |
Male population > Age 70-74 > % of the total |
0.37 |
[197th of 224] |
Male population > Age 75-79 |
25,211 |
[105th of 224] |
Male population > Age 75-79 > % of the total |
0.22 |
[193rd of 224] |
Male population > Age 80-84 |
14,356 |
[109th of 224] |
Male population > Age 80-84 > % of the total |
0.12 |
[200th of 224] |
Median age > Female |
16.2 years |
[218th of 224] |
Median age > Male |
15.4 years |
[218th of 224] |
Median age > Total |
15.8 years |
[219th of 224] |
Nationality > Adjective |
Malian |
|
Nationality > Noun |
Malian(s) |
|
Percentage living in rural areas. |
68% |
[34th of 193] |
Percentage living in urban areas |
32% |
[166th of 199] |
Population |
12,324,029 |
[70th of 242] |
Population > CIA Factbook |
12,324,029 |
[70th of 240] |
Population ages 0-14 > % of total |
48.23 % |
[3rd of 185] |
Population ages 15-64 > % of total |
49.08 % |
[181st of 185] |
Population ages 65 and above > % of total |
2.7 % |
[167th of 185] |
Population growth > annual % |
2.96 annual % |
[20th of 195] |
Population growth rate |
2.725% |
[26th of 235] |
Population in 2015 |
18,093 |
[60th of 225] |
Population in largest city |
1,368,404 |
[80th of 118] |
Population in largest city (per capita) |
0.101 per capita |
[78th of 118] |
Population in the largest city > % of urban population |
33.19 % |
[48th of 118] |
Population in urban agglomerations > more than 1 million |
1,368,404 |
[81st of 106] |
Population in urban agglomerations > more than 1 million (per capita) |
0.101 per capita |
[87th of 106] |
Population, female > % of total |
50.2 % |
[112nd of 190] |
Projected population growth |
230.27% |
[5th of 141] |
Rights of the Child Convention > Ratification Dates |
20 Sep 1990 |
|
Rights of the Child Convention > Signatories |
26 Jan 1990 |
|
Rural population |
9,395,299 |
[51st of 193] |
Rural population (per capita) |
0.695 per capita |
[37th of 194] |
Rural population growth > annual % |
2.22 annual % |
[27th of 193] |
Sex ratio > 15-64 years |
0.93 |
[204th of 223] |
Sex ratio > 15-64 years |
0.98 male(s)/female |
[145th of 224] |
Sex ratio > 65 years and over |
0.66 male(s)/female |
[187th of 223] |
Sex ratio > At birth |
1.03 male(s)/female |
[170th of 223] |
Sex ratio > sex ratios > 15–65 |
0.96 |
[175th of 215] |
Sex ratio > sex ratios > at birth |
1.03 |
[192nd of 215] |
Sex ratio > sex ratios > over 65 |
0.7 |
[156th of 215] |
Sex ratio > sex ratios > total |
0.98 |
[116th of 215] |
Sex ratio > sex ratios > under 15 |
1.03 |
[150th of 215] |
Sex ratio > Total population |
0.99 male(s)/female |
[101st of 224] |
Sex ratio > Under 15 years |
1.02 male(s)/female |
[169th of 224] |
Total fertility rate |
7.34 children born/woman |
[1st of 225] |
Total Population |
11,716,829 |
[71st of 227] |
Total population > Age 10-14 |
1,507,018 |
[63rd of 224] |
Total population > Age 10-14 > % of the total |
12.86 |
[21st of 224] |
Total population > Age 15-19 |
1,278,352 |
[70th of 224] |
Total population > Age 15-19 > % of the total |
10.91 |
[62nd of 224] |
Total population > Age 20-24 |
1,059,555 |
[71st of 224] |
Total population > Age 20-24 > % of the total |
9.04 |
[104th of 224] |
Total population > Age 25-29 |
898,323 |
[71st of 224] |
Total population > Age 25-29 > % of the total |
7.67 |
[120th of 224] |
Total population > Age 30-34 |
668,693 |
[81st of 224] |
Total population > Age 30-34 > % of the total |
5.71 |
[211st of 224] |
Total population > Age 35-39 |
498,071 |
[89th of 224] |
Total population > Age 35-39 > % of the total |
4.25 |
[216th of 224] |
Total population > Age 40-44 |
349,937 |
[100th of 224] |
Total population > Age 40-44 > % of the total |
2.99 |
[224th of 224] |
Total population > Age 45-49 |
283,852 |
[105th of 224] |
Total population > Age 45-49 > % of the total |
2.42 |
[223rd of 224] |
Total population > Age 50-54 |
241,378 |
[103rd of 224] |
Total population > Age 50-54 > % of the total |
2.06 |
[220th of 224] |
Total population > Age 55-59 |
228,083 |
[100th of 224] |
Total population > Age 55-59 > % of the total |
1.95 |
[202nd of 224] |
Total population > Age 60-64 |
208,197 |
[87th of 224] |
Total population > Age 60-64 > % of the total |
1.78 |
[169th of 224] |
Total population > Age 65-69 |
161,317 |
[91st of 224] |
Total population > Age 65-69 > % of the total |
1.38 |
[166th of 224] |
Total population > Age 70-74 |
103,790 |
[98th of 224] |
Total population > Age 70-74 > % of the total |
0.89 |
[181st of 224] |
Total population > Age 75-79 |
58,789 |
[107th of 224] |
Total population > Age 75-79 > % of the total |
0.5 |
[184th of 224] |
Total population > Age 80-84 |
33,316 |
[116th of 224] |
Total population > Age 80-84 > % of the total |
0.28 |
[200th of 224] |
Total Population > Female |
5,908,357 |
[71st of 227] |
Total Population > Male |
5,808,472 |
[71st of 227] |
Urban population |
4,123,117 |
[86th of 195] |
Urban population (per capita) |
0.305 per capita |
[158th of 196] |
Urban population growth > annual % |
4.68 annual % |
[11th of 195] |
Urbanization |
31 |
[169th of 204] |
Urbanization in 1975 |
16.2% |
[141st of 164] |
Urbanization in 2015 |
40.7% |
[128th of 164] |
Women > Adult literacy rate females as a % of males |
45 |
[137th of 144] |
Women > Antenatal care coverage % |
57 |
[119th of 133] |
Women > Contraceptive prevalence % |
8 |
[161st of 170] |
Women > Life expectancy females as a % of males |
102 |
[157th of 173] |
Women > Maternal mortality ratio > reported |
580 |
[17th of 154] |
Women > Maternal mortality ratio adjusted |
1,200 |
[7th of 166] |
Women > Skilled attendant at delivery % |
41 |
[150th of 172] |
SOURCES Wikipedia;
List of African countries by population density ;
World Development Indicators
database;
CIA World Factbook, 22 August 2006 ;
CIA World Factbook, 28
July 2005; All
CIA World
Factbooks 18 December 2003 to 18 December 2008;
UNICEF;
U.S. Census Bureau, Population
Division, International Programs Center ; Human Development Reports,
United Nations 2002; Population Division of the United Nations Secretariat,
World Urbanization Prospects; The 2003 Revision, Data Tables and Highlights.
Estimates and projections of urban and rural populations are made by the
Population Division of the United Nations Secretariat and published every
two years. These estimates and projections are based on national census or
survey data that have been evaluated and, whenever necessary, adjusted for
deficiencies and inconsistencies;
World Development Indicators
database and
CIA World Factbook;
Population Division of the Department of Economic and Social Affairs of the
United Nations Secretariat, World Population Prospects; The 2004 Revision
and World Urbanization Prospects;
http//esa.un.org/unpp; Population Reference Bureau, 2001 World
Population Data Sheet, Washington, DC; PRB, 2001. via ciesin.org; The Office
of the High Commissioner for Human Rights; The Office of the High
Commissioner for Human RIghts; Wikipedia;
Sex ratio ;
U.S. Census Bureau, Population
Division, International Programs Center
Spanish Statistical Institute; Population Division of
the United Nations Secretariat, World Urbanization Prospects; The 2001
Revision, Data Tables and Highlights (ESA/P/WP.173, 20 March 2002); UN
(United Nations). 2002. World Urbanization Prospects; The 2001 Revision.
Department of Economic and Social Affairs, Population Division. New York
ALTERNATIVE NAMES Mali, Republic of Mali, Republique de Mali
Mortality
Death rate, crude > per 1,000 people |
16.95 per 1,000 people |
[24th of 195] |
rate, adult, female > per 1,000 female adults |
323.07 per 1,000 female adults |
[37th of 185] |
rate, adult, male > per 1,000 male adults |
357.88 per 1,000 male adults |
[40th of 185] |
rate, infant > per 1,000 live births |
120 per 1,000 live births |
[10th of 187] |
rate, under-5 > per 1,000 |
218 per 1,000 |
[6th of 187] |
SOURCES World Development Indicators database
ALTERNATIVE NAMES Mali, Republic of Mali, Republique de Mali
Immigration
immigrant population > Immigrants as percentage of state population |
0.3403 |
[181st of 195] |
immigrant population > Number of immigrants |
46,000 |
[136th of 195] |
immigrant population > Percentage of total number of immigrants in the world |
>0.1% |
|
International migration stock > % of population |
0.34 % |
[189th of 205] |
International migration stock, total |
46,318 |
[140th of 205] |
Net migration |
-134,204 |
[139th of 180] |
Net migration (per capita) |
-9.927 per 1 million people |
[125th of 185] |
Net migration rate |
-5.97 migrant(s)/1,000 populati |
[162nd of 225] |
Refugee population by country or territory of asylum |
11,233 |
[58th of 151] |
Refugee population by country or territory of asylum (per capita) |
830.94 per 1 million people |
[71st of 162] |
Refugee population by country or territory of origin |
520 |
[73rd of 77] |
Refugee population by country or territory of origin (per capita) |
0.038 per 1 million people |
[73rd of 77] |
Refugees |
73,550 |
[34th of 110] |
Refugees (per capita) |
6.44328 per 1,000 people |
[31st of 110] |
Refugees > Convention on refugees |
2 Feb 1973 d |
|
Refugees and internally displaced persons > Refugees (country of origin) |
6,300 (Mauritania) |
|
US visa lottery winners |
51 US visa lottery winners |
[92nd of 178] |
US visa lottery winners (per capita) |
4.46781 US visa lottery winners |
[128th 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; US Department of State Bureau of Consular
Affairs
ALTERNATIVE NAMES Mali, Republic of Mali, Republique de Mali
Other articles in this category |
---|
Mali at a glance |
Geography |
History |
Culture |
Economy 1 |
Economy 2 |
Politics |
Military |