1) Natural geography
Area > Comparative slightly larger than California |
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Area > Comparative to US places slightly larger than California |
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Area > Land | 446,300 sq km | [54th of 238] |
Area > Land (per capita) | 12.995 sq km per 1,000 people | [111st of 227] |
Area > Total | 446,550 sq km | [62nd of 250] |
Area > Total (per capita) | 13.003 sq km per 1,000 people | [117th of 231] |
Area > Water | 250 sq km | [122nd of 239] |
Area > Water (per capita) | 7.279 sq km per million people | [139th of 225] |
Capital city with population | Rabat - 1,220,000 | |
capitals and largest cities > Countries > Cities larger than the capital | Casablanca | |
Climate Mediterranean, becoming more extreme in the interior |
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Coastline | 1,835 km | [68th of 271] |
Elevation extremes > Highest point | Jebel Toubkal 4,165 m | |
Elevation extremes > Lowest point | Sebkha Tah -55 m | |
Forested Land | 6.8% | [157th of 193] |
Geographic coordinates | 32 00 N, 5 00 W | |
Geography > Note strategic location along Strait of Gibraltar |
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Irrigated land | 14,450 sq km | [38th of 196] |
Irrigated land (per capita) | 489.491 sq km per million people | [44th of 167] |
Land area > sq. km | 446,300 km² | [54th of 206] |
Land area > sq. km (per capita) | 14.794 km² per 1,000 people | [93rd of 206] |
Land boundaries > Border
countries Algeria 1,559 km, Western Sahara 443 km, Spain (Ceuta) 6.3 km, Spain (Melilla) 9.6 km |
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Land boundaries > Total | 2,017.9 km | [83rd of 166] |
Land boundaries > Total (per capita) | 58.757 km per million people | [139th of 164] |
Land use > Arable land | 19% | [59th of 258] |
Land use > Other | 79% | [160th of 258] |
Land use > Permanent crops | 2% | [91st of 258] |
Largest city Casablanca |
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Largest city population | 3,101,000 | [34th of 174] |
Largest city population (per capita) | 0.095 per capita | [121st of 174] |
Largest city with population | Casablanca - 2,950,000 | |
Location Northern Africa, bordering the North Atlantic Ocean and the Mediterranean Sea, between Algeria and Western Sahara |
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Map references Africa |
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Maritime claims > Contiguous zone | 24 nautical mile | [25th of 83] |
Maritime claims > Continental shelf 200 m depth or to the depth of exploitation |
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Maritime claims > Exclusive economic zone | 200 nautical mile | [43rd of 123] |
Maritime claims > Territorial sea | 12 nautical mile | [29th of 191] |
Natural hazards northern mountains geologically unstable and subject to earthquakes; periodic droughts |
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Natural resources phosphates, iron ore, manganese, lead, zinc, fish, salt |
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northernmost point > Latitude | 35°55'N | |
Population density | 66.46 people per sqkm | [124th of 256] |
Population density > people per sq. km | 67.6 people/m² | [112nd of 204] |
Precipitation | 426 mm | [76th of 95] |
Rural population density > rural population per sq. km of arable land | 145.16 people/km² of arable lan | [131st of 188] |
Surface area > sq. km | 446,550 km² | [56th of 206] |
Surface area > sq. km (per capita) | 14.802 km² per 1,000 people | [96th of 207] |
tallest mountains > Mountain | Jebel Toubkal | |
Terrain northern coast and interior are mountainous with large areas of bordering plateaus, intermontane valleys, and rich coastal plains |
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.; Wikipedia:
List of capitals and largest cities by country ; 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
Morocco, Kingdom of Morocco,
Al Mamlakah al Maghribiyah, Al Maghrib
Environment
Acidification | 0% | [129th of 141] |
Adjusted savings: carbon dioxide damage > % of GNI | 0.55 % of GNI | [60th of 179] |
Adjusted savings: net forest depletion > % of GNI | 0.14 % of GNI | [48th of 57] |
Adjusted savings: particulate emission damage > % of GNI | 0.06 % of GNI | [146th of 165] |
Areas under protection | 12 | [109th of 146] |
Areas under protection (per capita) | 0.366681 per 1 million people | [136th of 146] |
Biosphere reserves area | 9,754 thousand hectares | [7th of 86] |
Biosphere reserves area (per capita) | 298.05 thousand hectares per 1 | [11th of 86] |
Breeding birds threatened | 4.29% | [42nd of 136] |
Carbon efficiency | 0.91 CO2 emissions/$ GDP | [86th of 141] |
CFC consumption | 29,193.2 | [30th of 107] |
CFC consumption (per capita) | 0.892049 per 1,000 people | [34th of 107] |
CO2 Emissions | 33,236.1 | [63rd of 178] |
CO2 Emissions (per capita) | 1.01559 per 1,000 people | [108th of 176] |
CO2 emissions > kg per 2000 PPP $ of GDP | 0.33 kg/PPP$ | [79th of 170] |
CO2 emissions > kt | 37,897.4 kt | [64th of 195] |
CO2 emissions > kt (per capita) | 1.315 kt per 1,000 people | [116th of 196] |
Current
issues land degradation/desertification (soil erosion resulting from farming of marginal areas, overgrazing, destruction of vegetation); water supplies contaminated by raw sewage; siltation of reservoirs; oil pollution of coastal waters |
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Ecological footprint | 1.56 | [83rd of 141] |
Endangered species protection | 60.9% | [80th of 141] |
Fertiliser consumption | 387.91 hundred grams/hectare | [87th of 141] |
Forest area > % of land area | 9.78 % of land area | [150th of 195] |
Forest area > sq. km | 43,640 km² | [73rd of 195] |
Forest area > sq. km (per capita) | 1,446.562 km² per 1,000 people | [131st of 195] |
Freshwater withdrawal | 12.6 | [35th of 124] |
Freshwater withdrawal > Agricultural | 87% | [39th of 124] |
Freshwater withdrawal > Domestic | 10% | [76th of 124] |
Freshwater withdrawal > Industrial | 3% | [79th of 124] |
Groundwater withdrawals | 97.9 | [48th of 188] |
International agreements > Party to Biodiversity, Climate Change, Climate Change-Kyoto Protocol, Desertification, Endangered Species, Hazardous Wastes, Law of the Sea, Marine Dumping, Ozone Layer Protection, Ship Pollution, Wetlands, Whaling |
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International agreements > Signed but not ratified Environmental Modification |
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Known breeding bird species | 206 | [73rd of 146] |
Known breeding bird species (per capita) | 6.29469 per 1 million people | [116th of 146] |
Known mammal species | 105 | [82nd of 145] |
Known mammal species (per capita) | 3.20846 per 1 million people | [117th of 145] |
Marine areas under protection | 4 | [57th of 95] |
Marine areas under protection (per capita) | 0.122227 per 1 million people | [78th of 95] |
Marine fish catch | 619,136 tons | [22nd of 141] |
Marine fish catch (per capita) | 18.9188 tons per 1,000 people | [28th of 141] |
Non-wildness | 1.48% | [92nd of 141] |
NOx emissions per populated area | 0.1 thousand metric tons/squ | [122nd of 141] |
Organic water pollutant (BOD) emissions > kg per day | 72,125.77 kg/day | [11th of 115] |
Organic water pollutant (BOD) emissions > kg per day per worker | 0.16 kg per day per worker | [21st of 115] |
PM10, country level > micrograms per cubic meter | 19.81 mcg/m³ | [146th of 185] |
Pollution > Carbon dioxide 1999 | 9,781 | [62nd of 199] |
Protected area | 0.7 | [131st of 147] |
Red Kite > Populations and trends > Pairs | 10–100 | |
Red Kite > Populations and trends > Trend | ?– | |
Red Kite > Populations and trends > Year | ca.1992 | |
SO2 emissions per populated area | 530 thousand metric tons/squ | [75th of 141] |
SO2 exports | 1,617.14 hundred metric tons | [57th of 141] |
Threatened species | 39 | [53rd of 158] |
Threatened species > Mammal | 18 | [40th of 160] |
Total renewable water resources | 29 cu km | [16th of 31] |
Urban NO2 concentration | 59.76 micrograms/m3 | [46th of 141] |
Urban SO2 concentration | 78.15 micrograms/m3 | [40th of 141] |
Water > Availability | 0.42 thousand cubic metres | [119th of 141] |
Water > Dissolved oxygen concentration | 6.25 mls/litre | [109th of 141] |
Water > Freshwater pollution | 7.85 tons/cubic km | [6th of 69] |
Water > Phosphorus concentration | 0.26 mls/litre | [89th of 141] |
Water > Salinisation | 3,300.63 | [2nd of 141] |
Water > Severe water stress | 81.5 | [22nd of 140] |
Water > Suspended solids | 4.4 mls/litre | [89th of 141] |
Water pollution, chemical industry > % of total BOD emissions | 6.78 % | [18th of 114] |
Water pollution, clay and glass industry > % of total BOD emissions | 0.27 % | [16th of 112] |
Water pollution, food industry > % of total BOD emissions | 43.04 % | [21st of 114] |
Water pollution, metal industry > % of total BOD emissions | 2.1 % | [21st of 94] |
Water pollution, other industry > % of total BOD emissions | 3.39 % | [19th of 107] |
Water pollution, paper and pulp industry > % of total BOD emissions | 7.97 % | [28th of 111] |
Water pollution, textile industry > % of total BOD emissions | 35.34 % | [3rd of 114] |
Water pollution, wood industry > % of total BOD emissions | 1.11 % | [26th of 114] |
Wetlands of intl importance > Area | 14 thousand hectares | [96th of 112] |
Wetlands of intl importance > Area (per capita) | 0.427794 thousand hectares per 1 m | [104th of 112] |
Wildness | 17.54% | [50th 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; Wikipedia:
Red Kite ; 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
Morocco, Kingdom of Morocco, Al
Mamlakah al Maghribiyah, Al Maghrib
2) Human geography
Age distribution
Morocco Population Pyramid for 1990
Age and sex distribution for the year 1990
Agricultural workers > Female | 6% | [40th of 77] |
Agricultural workers > Male | 6% | [60th of 78] |
Child employment in agriculture > % of economically active children ages 7-14 | 60.56 % | [7th of 11] |
Child employment in agriculture, female > % of female economically active children ages 7-14 | 60.3 % | [7th of 11] |
Child employment in agriculture, male > % of male economically active children ages 7-14 | 60.78 % | [7th of 11] |
Child employment in manufacturing > % of economically active children ages 7-14 | 8.25 % | [2nd of 10] |
Child employment in manufacturing, female > % of female economically active children ages 7-14 | 8.46 % | [2nd of 10] |
Child employment in manufacturing, male > % of male economically active children ages 7-14 | 8.05 % | [2nd of 10] |
Child employment in services > % of economically active children ages 7-14 | 10.13 % | [4th of 11] |
Child employment in services, female > % of female economically active children ages 7-14 | 6.43 % | [6th of 11] |
Child employment in services, male > % of male economically active children ages 7-14 | 13.47 % | [2nd of 11] |
Compensation of employees > % of expense | 43.29 % | [6th of 97] |
Compensation of employees > current LCU | 62020000000 | |
Economic activity > Both sexes aged 10-14 | 0.64 | [86th of 89] |
Economic activity > Both sexes aged 15-19 | 38.17 | [84th of 167] |
Economic activity > Both sexes aged 20-24 | 65.36 | [141st of 166] |
Economic activity > Both sexes aged 25-29 | 73.01 | [135th of 167] |
Economic activity > Both sexes aged 30-34 | 72.59 | [143rd of 165] |
Economic activity > Both sexes aged 35-39 | 70.57 | [149th of 166] |
Economic activity > Both sexes aged 40-44 | 70.62 | [143rd of 167] |
Economic activity > Both sexes aged 45-49 | 68.98 | [135th of 163] |
Economic activity > Both sexes aged 50-54 | 65.59 | [122nd of 166] |
Economic activity > Both sexes aged 55-59 | 59.65 | [91st of 166] |
Economic activity > Both sexes aged 60-64 | 46.18 | [87th of 166] |
Economic activity > Both sexes aged 65 plus | 19.37 | [90th of 165] |
Economic activity > Men aged 10-14 | 0.21 | [92nd of 92] |
Economic activity > Men aged 15-19 | 42.28 | [93rd of 164] |
Economic activity > Men aged 20-24 | 79.54 | [132nd of 166] |
Economic activity > Men aged 25-29 | 94.67 | [109th of 165] |
Economic activity > Men aged 30-34 | 96.63 | [119th of 165] |
Economic activity > Men aged 35-39 | 96.95 | [119th of 164] |
Economic activity > Men aged 40-44 | 96.76 | [97th of 163] |
Economic activity > Men aged 45-49 | 95.53 | [97th of 167] |
Economic activity > Men aged 50-54 | 92.94 | [85th of 165] |
Economic activity > Men aged 55-59 | 86.61 | [81st of 167] |
Economic activity > Men aged 60-64 | 70.33 | [79th of 165] |
Economic activity > Men aged 65 plus | 29.34 | [93rd of 162] |
Economic activity > Women aged 10-14 | 1.09 | [85th of 89] |
Economic activity > Women aged 15-19 | 33.92 | [73rd of 164] |
Economic activity > Women aged 20-24 | 50.64 | [124th of 166] |
Economic activity > Women aged 25-29 | 50.53 | [136th of 165] |
Economic activity > Women aged 30-34 | 47.68 | [148th of 167] |
Economic activity > Women aged 35-39 | 45.27 | [146th of 165] |
Economic activity > Women aged 40-44 | 44.9 | [139th of 165] |
Economic activity > Women aged 45-49 | 42.63 | [127th of 161] |
Economic activity > Women aged 50-54 | 39.65 | [120th of 166] |
Economic activity > Women aged 55-59 | 37.02 | [91st of 167] |
Economic activity > Women aged 60-64 | 28.02 | [78th of 165] |
Economic activity > Women aged 65 plus | 10.95 | [83rd of 167] |
Economically active children, female | 12.8 % | [7th of 34] |
Economically active children, male | 13.5 % | [5th of 34] |
Economically active children, study and work | 6.8 % | [10th of 34] |
Economically active children, study and work, female | 3.8 % | [10th of 34] |
Economically active children, study and work, male | 9.5 % | [10th of 34] |
Economically active children, total | 13.2 % | [6th of 34] |
Economically active children, work only | 93.2 % | [1st of 34] |
Economically active children, work only, female | 96.2 % | [1st of 33] |
Economically active children, work only, male | 90.5 % | [1st of 34] |
Employees, agriculture, female > % of female employment | 63 % | [1st of 86] |
Employees, agriculture, male > % of male employment | 41 % | [8th of 86] |
Employees, industry, female > % of female employment | 15 % | [27th of 86] |
Employees, industry, male > % of male employment | 23 % | [47th of 86] |
Employees, services, female > % of female employment | 22 % | [57th of 86] |
Employees, services, male > % of male employment | 36 % | [53rd of 86] |
Employment in agriculture > % of total employment | 47 % | [3rd of 94] |
Employment in industry > % of total employment | 21 % | [43rd of 94] |
Employment in services > % of total employment | 32 % | [60th of 94] |
Female economic activity | 41.4% | [118th of 156] |
Female economic activity growth | 7% | [55th of 156] |
Firing cost > weeks of wages | 85.1 weeks of wages | [35th of 164] |
force participation rate, female > % of female population ages 15-64 | 28.67 % | [177th of 184] |
force participation rate, male > % of male population ages 15-64 | 83.85 % | [69th of 184] |
force participation rate, total > % of total population ages 15-64 | 56.06 % | [171st of 184] |
force with primary education > % of total | 45.2 % | [13th of 48] |
force with secondary education > % of total | 14.4 % | [48th of 51] |
force with tertiary education > % of total | 10.7 % | [45th of 52] |
force, female > % of total labor force | 25.46 % | [173rd of 184] |
force, total | 11,121,400 | [40th of 184] |
force, total (per capita) | 0.369 per capita | [163rd of 184] |
Industrial workers > Female | 40% | [3rd of 79] |
Industrial workers > Male | 32% | [41st of 79] |
Labor force | 11,390,000 | [34th of 132] |
Labor force (per capita) | 337,409.751 per million people | [98th of 131] |
Labor
force > By occupation agriculture 40%, industry 15%, services 45% |
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Labor force > By occupation > Agriculture | 40% | [8th of 32] |
Labor force > By occupation > Industry | 15% | [15th of 29] |
Labor force > By occupation > Services | 45% | [14th of 29] |
Minimum Age Convention, 1973 > Ratifications > Date | January 6, 2000 | |
Minimum Age Convention, 1973 > Ratifications > Minimum age | 15 | [90th of 146] |
Parental leave > Paid maternity leave | 12 weeks | |
Regulation | 51 | [74th of 123] |
Regulation > Employment Conditions | 63 | [81st of 123] |
Regulation > Firing | 33 | [69th of 123] |
Regulation > Hiring | 56 | [50th of 123] |
regulations > % of managers surveyed ranking this as a major business constraint | 16.24 % | [5th of 39] |
Right to Organise and Collective Bargaining Convention > Ratifications > Date | May 20, 1957 | |
Rigidity of employment index | 63 | [14th of 166] |
Service workers > Female | 54% | [69th of 79] |
Service workers > Male | 63% | [14th of 79] |
Share of women employed in the nonagricultural sector > % of total nonagricultural employment | 21.8 % | [118th of 174] |
skills > % of managers surveyed ranking this as a major business constraint | 21.06 % | [8th of 38] |
Unemployment rate | 9.8% | [15th of 107] |
Unemployment with secondary education, female > % of female unemployment | 22.85 % | [1st of 71] |
Unemployment with secondary education, male > % of male unemployment | 19.06 % | [1st of 71] |
Unemployment with tertiary education > % of total unemployment | 19.83 % | [2nd of 77] |
Unemployment with tertiary education, female > % of female unemployment | 32.46 % | [1st of 71] |
Unemployment with tertiary education, male > % of male unemployment | 14.81 % | [1st of 71] |
Unemployment, female > % of female labor force | 11.8 % | [4th of 95] |
Unemployment, male > % of male labor force | 11 % | [3rd of 95] |
Unemployment, total > % of total labor force | 11.2 % | [3rd of 101] |
Unemployment, youth female > % of female labor force ages 15-24 | 15.9 % | [43rd of 77] |
Unemployment, youth male > % of male labor force ages 15-24 | 17.4 % | [34th of 77] |
Unemployment, youth total > % of total labor force ages 15-24 | 17 % | [38th of 77] |
Workers' remittances and compensation of employees, paid > US$ | 40,000,000 $ | [90th of 149] |
Workers' remittances and compensation of employees, paid > US$ (per $ GDP) | 0.775 $ per $1,000 of GDP | [121st of 166] |
Workers' remittances and compensation of employees, paid > US$ (per capita) | 1.326 $ per 1,000 people | [124th of 167] |
Workers' remittances and compensation of employees, received > US$ | 4,589,000,000 $ | [14th of 156] |
Workers' remittances and compensation of employees, received > US$ (per $ GDP) | 88.898 $ per $1,000 of GDP | [29th of 165] |
Workers' remittances and compensation of employees, received > US$ (per capita) | 152.114 $ per capita | [42nd of 167] |
Workers' remittances, receipts > BoP, current US$ | 4,589,227,000 BoP $ | [6th of 115] |
Workers' remittances, receipts > BoP, current US$ (per $ GDP) | 88.902 BoP $ per $1 million of | [19th of 142] |
Workers' remittances, receipts > BoP, current US$ (per capita) | 152.122 BoP $ per 1,000 people | [18th 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
Morocco, Kingdom of Morocco, Al
Mamlakah al Maghribiyah, Al Maghrib
Lifestyle
Life satisfaction | 5.6 | [43rd of 69] |
Life satisfaction inequality | 2.8 | [13th of 87] |
Political orientation > Far left | 4.5% | [26th of 61] |
Political orientation > Far right | 5.3% | [25th 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
Morocco, Kingdom of Morocco, Al
Mamlakah al Maghribiyah, Al Maghrib
People
African countries by population density > area | 446,550 | [24th of 56] |
African countries by population density > pop. dens. | 70 | [19th of 56] |
African countries by population density > population | 31,167,783 | [9th of 56] |
Age dependency ratio > dependents to working-age population | 0.56 | [95th of 185] |
Age structure > 0-14 years | 31.6 % | [94th of 225] |
Age structure > 0-14 years | 32.1 | [93rd of 226] |
Age structure > 0-14 years > Females | 5,136,156 | [35th of 225] |
Age structure > 0-14 years > From total | 30.5% | [96th of 227] |
Age structure > 0-14 years > Males | 5,337,322 | [36th of 225] |
Age structure > 15-64 years | 63 | [136th of 226] |
Age structure > 15-64 years | 63.4 % | [133rd of 225] |
Age structure > 15-64 years > Females | 11,069,038 | [36th of 225] |
Age structure > 15-64 years > From total | 64.3% | [122nd of 227] |
Age structure > 15-64 years > Males | 11,015,409 | [36th of 225] |
Age structure > 65 years and over | 5 % | [123rd of 225] |
Age structure > 65 years and over > Females | 1,019,412 | [41st of 225] |
Age structure > 65 years and over > From total | 5.2% | [120th of 227] |
Age structure > 65 years and over > Males | 765,882 | [41st of 225] |
Arab Countries > Population of Jew > 1948 | 250,000-265,000 | |
Arab Countries > Population of Jew > 2001 | 5,230 | |
Arab Countries > Population of Jew, of total > 1948 | 2.8% | |
Birth rate | 21.31 births/1,000 population | [94th of 226] |
Chinese population | 50 | [116th of 127] |
Chinese population (per capita) | 0.153 per 100,000 people | [123rd of 126] |
Death rate | 5.49 deaths/1,000 population | [176th of 226] |
Ethnic groups Arab-Berber 99.1%, other 0.7%, Jewish 0.2% |
||
Female population > Age 10-14 | 1,718,767 | [32nd of 224] |
Female population > Age 10-14 > % of the total | 5.17 | [91st of 224] |
Female population > Age 15-19 | 1,711,291 | [30th of 224] |
Female population > Age 15-19 > % of the total | 5.15 | [85th of 224] |
Female population > Age 20-24 | 1,659,760 | [32nd of 224] |
Female population > Age 20-24 > % of the total | 4.99 | [40th of 224] |
Female population > Age 25-29 | 1,462,459 | [36th of 224] |
Female population > Age 25-29 > % of the total | 4.4 | [25th of 224] |
Female population > Age 30-34 | 1,307,764 | [33rd of 224] |
Female population > Age 30-34 > % of the total | 3.93 | [52nd of 224] |
Female population > Age 35-39 | 1,132,746 | [34th of 224] |
Female population > Age 35-39 > % of the total | 3.41 | [104th of 224] |
Female population > Age 40-44 | 974,364 | [34th of 224] |
Female population > Age 40-44 > % of the total | 2.93 | [133rd of 224] |
Female population > Age 45-49 | 834,309 | [34th of 224] |
Female population > Age 45-49 > % of the total | 2.51 | [130th of 224] |
Female population > Age 50-54 | 656,400 | [36th of 224] |
Female population > Age 50-54 > % of the total | 1.97 | [131st of 224] |
Female population > Age 55-59 | 453,576 | [43rd of 224] |
Female population > Age 55-59 > % of the total | 1.36 | [147th of 224] |
Female population > Age 60-64 | 387,930 | [38th of 224] |
Female population > Age 60-64 > % of the total | 1.17 | [121st of 224] |
Female population > Age 65-69 | 355,186 | [38th of 224] |
Female population > Age 65-69 > % of the total | 1.07 | [115th of 224] |
Female population > Age 70-74 | 269,350 | [40th of 224] |
Female population > Age 70-74 > % of the total | 0.81 | [118th of 224] |
Female population > Age 75-79 | 173,560 | [46th of 224] |
Female population > Age 75-79 > % of the total | 0.52 | [128th of 224] |
Female population > Age 80-84 | 143,435 | [46th of 224] |
Female population > Age 80-84 > % of the total | 0.43 | [122nd of 224] |
Gender development | 0.585 | [99th of 141] |
Greek diaspora > Number of Greeks in all countries > Capital | Rabat | |
Greek diaspora > Number of Greeks in all countries > Number of ethnic
Greeks 180 (est.) ( (they are quoting the statistics of the General Secretariat for Greeks Abroad as on )) |
||
Jewish population > By country > Jews > % Jewish | 0.016 % | [61st of 97] |
Jewish population > By country > Jews > Estimated number of Jews | 5,236 | [42nd of 102] |
Jewish population > Largest Jewish populations > Top 50 countries by Jewish population > Jews | 5,236 | [41st of 50] |
Male population > Age 10-14 | 1,781,865 | [33rd of 224] |
Male population > Age 10-14 > % of the total | 5.36 | [93rd of 224] |
Male population > Age 15-19 | 1,770,848 | [31st of 224] |
Male population > Age 15-19 > % of the total | 5.33 | [84th of 224] |
Male population > Age 20-24 | 1,706,777 | [32nd of 224] |
Male population > Age 20-24 > % of the total | 5.13 | [36th of 224] |
Male population > Age 25-29 | 1,488,671 | [37th of 224] |
Male population > Age 25-29 > % of the total | 4.48 | [39th of 224] |
Male population > Age 30-34 | 1,311,784 | [35th of 224] |
Male population > Age 30-34 > % of the total | 3.95 | [60th of 224] |
Male population > Age 35-39 | 1,112,141 | [36th of 224] |
Male population > Age 35-39 > % of the total | 3.35 | [119th of 224] |
Male population > Age 40-44 | 949,035 | [35th of 224] |
Male population > Age 40-44 > % of the total | 2.85 | [140th of 224] |
Male population > Age 45-49 | 812,037 | [35th of 224] |
Male population > Age 45-49 > % of the total | 2.44 | [131st of 224] |
Male population > Age 50-54 | 622,681 | [37th of 224] |
Male population > Age 50-54 > % of the total | 1.87 | [137th of 224] |
Male population > Age 55-59 | 404,766 | [44th of 224] |
Male population > Age 55-59 > % of the total | 1.22 | [154th of 224] |
Male population > Age 60-64 | 326,278 | [41st of 224] |
Male population > Age 60-64 > % of the total | 0.98 | [140th of 224] |
Male population > Age 65-69 | 277,244 | [39th of 224] |
Male population > Age 65-69 > % of the total | 0.83 | [128th of 224] |
Male population > Age 70-74 | 206,612 | [39th of 224] |
Male population > Age 70-74 > % of the total | 0.62 | [121st of 224] |
Male population > Age 75-79 | 135,806 | [42nd of 224] |
Male population > Age 75-79 > % of the total | 0.41 | [123rd of 224] |
Male population > Age 80-84 | 105,454 | [40th of 224] |
Male population > Age 80-84 > % of the total | 0.32 | [117th of 224] |
Median age > Female | 25.2 years | [125th of 224] |
Median age > Male | 24.1 years | [129th of 224] |
Median age > Total | 24.7 years | [128th of 224] |
Nationality > Adjective | Moroccan | |
Nationality > Noun | Moroccan(s) | |
Percentage living in rural areas. | 43% | [99th of 193] |
Percentage living in urban areas | 57% | [103rd of 199] |
Population | 34,343,220 | [35th of 242] |
Population > CIA Factbook | 34,343,220 | [35th of 240] |
Population ages 0-14 > % of total | 31.09 % | [88th of 185] |
Population ages 15-64 > % of total | 64.1 % | [87th of 185] |
Population ages 65 and above > % of total | 4.81 % | [96th of 185] |
Population growth > annual % | 1.15 annual % | [107th of 195] |
Population growth rate | 1.505% | [91st of 235] |
Population in 2015 | 36,152 | [39th of 225] |
Population in largest city | 3,138,219 | [42nd of 118] |
Population in largest city (per capita) | 0.104 per capita | [76th of 118] |
Population in the largest city > % of urban population | 17.72 % | [92nd of 118] |
Population in urban agglomerations > more than 1 million | 4,785,031 | [38th of 106] |
Population in urban agglomerations > more than 1 million (per capita) | 0.159 per capita | [68th of 106] |
Population, female > % of total | 50.3 % | [109th of 190] |
Projected population growth | 66% | [54th of 141] |
Rights of the Child Convention > Ratification Dates | 21 Jun 1993 | |
Rights of the Child Convention > Signatories | 26 Jan 1990 | |
Rural population | 12,459,420 | [38th of 193] |
Rural population (per capita) | 0.413 per capita | [104th of 194] |
Rural population growth > annual % | -0.58 annual % | [155th of 193] |
Sex ratio > 15-64 years | 0.99 | [137th of 223] |
Sex ratio > 15-64 years | 1 male(s)/female | [103rd of 224] |
Sex ratio > 65 years and over | 0.75 male(s)/female | [130th of 223] |
Sex ratio > At birth | 1.05 male(s)/female | [78th of 223] |
Sex ratio > sex ratios > 15–65 | 0.99 | [132nd of 215] |
Sex ratio > sex ratios > at birth | 1.05 | [133rd of 215] |
Sex ratio > sex ratios > over 65 | 0.77 | [115th of 215] |
Sex ratio > sex ratios > total | 0.99 | [100th of 215] |
Sex ratio > sex ratios > under 15 | 1.04 | [133rd of 215] |
Sex ratio > Total population | 0.99 male(s)/female | [99th of 224] |
Sex ratio > Under 15 years | 1.04 male(s)/female | [100th of 224] |
Total fertility rate | 2.57 children born/woman | [93rd of 225] |
Total Population | 33,241,259 | [35th of 227] |
Total population > Age 10-14 | 3,500,632 | [33rd of 224] |
Total population > Age 10-14 > % of the total | 10.53 | [93rd of 224] |
Total population > Age 15-19 | 3,482,139 | [30th of 224] |
Total population > Age 15-19 > % of the total | 10.48 | [85th of 224] |
Total population > Age 20-24 | 3,366,537 | [32nd of 224] |
Total population > Age 20-24 > % of the total | 10.13 | [37th of 224] |
Total population > Age 25-29 | 2,951,130 | [36th of 224] |
Total population > Age 25-29 > % of the total | 8.88 | [29th of 224] |
Total population > Age 30-34 | 2,619,548 | [35th of 224] |
Total population > Age 30-34 > % of the total | 7.88 | [52nd of 224] |
Total population > Age 35-39 | 2,244,887 | [35th of 224] |
Total population > Age 35-39 > % of the total | 6.75 | [117th of 224] |
Total population > Age 40-44 | 1,923,399 | [34th of 224] |
Total population > Age 40-44 > % of the total | 5.79 | [136th of 224] |
Total population > Age 45-49 | 1,646,346 | [34th of 224] |
Total population > Age 45-49 > % of the total | 4.95 | [133rd of 224] |
Total population > Age 50-54 | 1,279,081 | [36th of 224] |
Total population > Age 50-54 > % of the total | 3.85 | [133rd of 224] |
Total population > Age 55-59 | 858,342 | [43rd of 224] |
Total population > Age 55-59 > % of the total | 2.58 | [150th of 224] |
Total population > Age 60-64 | 714,208 | [41st of 224] |
Total population > Age 60-64 > % of the total | 2.15 | [130th of 224] |
Total population > Age 65-69 | 632,430 | [38th of 224] |
Total population > Age 65-69 > % of the total | 1.9 | [122nd of 224] |
Total population > Age 70-74 | 475,962 | [38th of 224] |
Total population > Age 70-74 > % of the total | 1.43 | [120th of 224] |
Total population > Age 75-79 | 309,366 | [45th of 224] |
Total population > Age 75-79 > % of the total | 0.93 | [129th of 224] |
Total population > Age 80-84 | 248,889 | [42nd of 224] |
Total population > Age 80-84 > % of the total | 0.75 | [120th of 224] |
Total Population > Female | 16,667,149 | [36th of 227] |
Total Population > Male | 16,574,110 | [36th of 227] |
Urban population | 17,708,660 | [37th of 195] |
Urban population (per capita) | 0.587 per capita | [91st of 196] |
Urban population growth > annual % | 2.38 annual % | [81st of 195] |
Urbanization | 56 | [109th of 204] |
Urbanization in 1975 | 37.8% | [94th of 164] |
Urbanization in 2015 | 64.4% | [79th of 164] |
Women > Adult literacy rate females as a % of males | 58 | [130th of 144] |
Women > Antenatal care coverage % | 42 | [125th of 133] |
Women > Contraceptive prevalence % | 59 | [64th of 170] |
Women > Life expectancy females as a % of males | 104 | [144th of 173] |
Women > Maternal mortality ratio > reported | 230 | [50th of 154] |
Women > Maternal mortality ratio adjusted | 220 | [62nd of 166] |
Women > Skilled attendant at delivery % | 40 | [152nd 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; Wikipedia:
Jewish
exodus from Arab lands ;
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; 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;
UNICEF
Death rate, crude > per 1,000 people | 5.68 per 1,000 people | [147th of 195] |
rate, adult, female > per 1,000 female adults | 108.65 per 1,000 female adults | [99th of 185] |
rate, adult, male > per 1,000 male adults | 161.98 per 1,000 male adults | [114th of 185] |
rate, infant > per 1,000 live births | 36 per 1,000 live births | [71st of 187] |
rate, under-5 > per 1,000 | 40 per 1,000 | [74th of 187] |
SOURCES
World Development
Indicators database
ALTERNATIVE NAMES
Morocco, Kingdom of Morocco, Al
Mamlakah al Maghribiyah, Al Maghrib
Immigration
immigrant population > Immigrants as percentage of state population | 0.4193 | [172nd of 195] |
immigrant population > Number of immigrants | 132,000 | [109th of 195] |
immigrant population > Percentage of total number of immigrants in the world | >0.1% | |
International migration stock > % of population | 0.44 % | [180th of 205] |
International migration stock, total | 131,653.5 | [111st of 205] |
Net migration | -400,000 | [163rd of 180] |
Net migration (per capita) | -13.259 per 1 million people | [139th of 185] |
Net migration rate | -0.77 migrant(s)/1,000 populati | [113rd of 225] |
Refugee population by country or territory of asylum | 219 | [126th of 151] |
Refugee population by country or territory of asylum (per capita) | 7.259 per 1 million people | [134th of 162] |
Refugees | 390 | [95th of 110] |
Refugees (per capita) | 0.0119171 per 1,000 people | [104th of 110] |
Refugees > Convention on refugees | 7 Nov 1956 d | |
US visa lottery winners | 5,069 US visa lottery winners | [7th of 178] |
US visa lottery winners (per capita) | 154.892 US visa lottery winners | [13th of 176] |
SOURCE
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
Morocco, Kingdom of Morocco, Al
Mamlakah al Maghribiyah, Al Maghrib
Other articles in this category |
---|
Morocco at a glance |
Geography |
History |
Culture |
Economy(1) |
Economy(2) |
Politics |
Military |