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SUSTAINABLE DEVELOPMENT GOALS
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WATER
YOUTH
Latest Indicator Data of Category: SUSTAINABLE DEVELOPMENT GOALS
1.1.1 Employed Population below International Poverty Line, Ages 15+, Both Sexes (%): 48.00 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 15+, Female (%): 47.10 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 15+, Male (%): 48.70 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 15-24, Both Sexes (%): 60.00 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 15-24, Female (%): 54.00 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 15-24, Male (%): 65.00 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 25+, Both Sexes (%): 45.60 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 25+, Female (%): 45.70 Percentage (2010) Timeplot
1.1.1 Employed Population below International Poverty Line, Ages 25+, Male (%): 45.60 Percentage (2010) Timeplot
1.1.1 Proportion of Population below International Poverty Line: 53.50 Percentage (2009) Timeplot
1.2.1 Proportion of Population Living below the National Poverty Line: 46.00 Percentage (2009) Timeplot
2.1.1 Prevalence of Undernourishment: 11.50 Percentage (2016) Timeplot
2.2.1 Proportion of Children Moderately or Severely Stunted: 43.60 Percentage (2016) Timeplot
2.2.2 Proportion of Children Moderately or Severely Overweight: 1.50 Percentage (2016) Timeplot
2.2.2 Proportion of Children Moderately or Severely Wasted: 10.80 Percentage (2016) Timeplot
2.5.2 Local Breeds Classified as Being at Unknown Level of Risk of Extinction: 16.00 Number (2018) Timeplot
2.5.2 Local Breeds Classified as Known Being at Risk: 0.00 Number (2018) Timeplot
2.5.2 Local Breeds Classified as Known Being Not at Risk: 0.00 Number (2018) Timeplot
2.5.2 Proportion of Local Breeds Classified as Being at Unknown Level of Risk of Extinction: 100.00 Percentage (2018) Timeplot
2.5.2 Proportion of Local Breeds Classified as Known Being at Risk: 0.00 Percentage (2018) Timeplot
2.5.2 Proportion of Local Breeds Classified as Known Being Not at Risk: 0.00 Percentage (2018) Timeplot
2.a.1 Agriculture Orientation Index for Government Expenditures: 0.09 Index Value (2013) Timeplot
2.a.2 Total Official Flows (disbursements) for Agriculture, by Recipient Countries: 146.27 Millions of Constant 2016 USD (2016) Timeplot
3.1.1 Maternal Mortality Ratio: 814.00 Per 100,000 Live Births (2015) Timeplot
3.1.2 Proportion of Births Attended by Skilled Health Personnel: 43.00 Percentage (2017) Timeplot
3.2.1 Infant Deaths, Ages <1Y, Both Sexes: 465,681.00 Number (2017) Timeplot
3.2.1 Infant Deaths, Ages <1Y, Female: 203,897.00 Number (2017) Timeplot
3.2.1 Infant Deaths, Ages <1Y, Male: 261,784.00 Number (2017) Timeplot
3.2.1 Infant Mortality Rate, Ages <1Y, Both Sexes: 64.60 Deaths per 1,000 Live Births (2017) Timeplot
3.2.1 Infant Mortality Rate, Ages <1Y, Female: 58.20 Deaths per 1,000 Live Births (2017) Timeplot
3.2.1 Infant Mortality Rate, Ages <1Y, Male: 70.70 Deaths per 1,000 Live Births (2017) Timeplot
3.2.1 Under-Five Deaths, Both Sexes: 714,188.00 Number (2017) Timeplot
3.2.1 Under-Five Deaths, Female: 324,921.00 Number (2017) Timeplot
3.2.1 Under-Five Deaths, Male: 389,267.00 Number (2017) Timeplot
3.2.1 Under-Five Mortality Rate, Both Sexes: 100.20 Deaths per 1,000 Live Births (2017) Timeplot
3.2.1 Under-Five Mortality Rate, Female: 93.80 Deaths per 1,000 Live Births (2017) Timeplot
3.2.1 Under-Five Mortality Rate, Male: 106.10 Deaths per 1,000 Live Births (2017) Timeplot
3.2.2 Neonatal Deaths, Both Sexes: 241,021.00 Number (2017) Timeplot
3.2.2 Neonatal Mortality Rate, Both Sexes: 32.90 Deaths per 1,000 Live Births (2017) Timeplot
3.3.2 Tuberculosis Incidence: 219.00 Per 100,000 Population (2017) Timeplot
3.4.1 Mortality Rate Attributed to Cardiovascular Disease, Cancer, Diabetes or Chronic Respiratory Disease (Probability), Ages 30-70, Both Sexes: 22.50 Percentage (2016) Timeplot
3.4.1 Mortality Rate Attributed to Cardiovascular Disease, Cancer, Diabetes or Chronic Respiratory Disease (Probability), Ages 30-70, Female: 23.90 Percentage (2016) Timeplot
3.4.1 Mortality Rate Attributed to Cardiovascular Disease, Cancer, Diabetes or Chronic Respiratory Disease (Probability), Ages 30-70, Male: 20.90 Percentage (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Cancer, Both Sexes: 81,551.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Cancer, Female: 45,558.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Cancer, Male: 35,993.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Cardiovascular Disease, Both Sexes: 225,602.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Cardiovascular Disease, Female: 122,857.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Cardiovascular Disease, Male: 102,745.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Chronic Respiratory Disease, Both Sexes: 32,984.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Chronic Respiratory Disease, Female: 17,684.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Chronic Respiratory Disease, Male: 15,299.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Diabetes, Both Sexes: 25,811.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Diabetes, Female: 15,821.00 Number (2016) Timeplot
3.4.1 Number of Deaths Attributed to Non-Communicable Diseases, Diabetes, Male: 9,991.00 Number (2016) Timeplot
3.4.2 Number of Deaths Attributed to Suicide, Both Sexes: 17,710.00 Number (2016) Timeplot
3.4.2 Number of Deaths Attributed to Suicide, Female: 8,410.00 Number (2016) Timeplot
3.4.2 Number of Deaths Attributed to Suicide, Male: 9,300.00 Number (2016) Timeplot
3.4.2 Suicide Mortality Rate, Both Sexes: 9.50 Deaths per 100,000 Population (2016) Timeplot
3.4.2 Suicide Mortality Rate, Female: 9.20 Deaths per 100,000 Population (2016) Timeplot
3.4.2 Suicide Mortality Rate, Male: 9.90 Deaths per 100,000 Population (2016) Timeplot
3.5.2 Alcohol Consumption per Capita within a Calendar Year, Ages 15+: 13.38 Litres of Pure Alcohol (2016) Timeplot
3.6.1 Death Rate due to Road Traffic Injuries: 20.50 Per 100,000 Population (2013) Timeplot
3.7.1 Proportion of Women of Reproductive Age who have Their Need for Family Planning Satisfied with Modern Methods, Ages 15-49: 42.80 Percentage (2018) Timeplot
3.7.2 Adolescent Birth Rate, Ages 15-19, Female: 145.00 Per 1,000 Women Aged 15-19 years (2014) Timeplot
3.9.3 Mortality Rate Attributed to Unintentional Poisonings, Both Sexes: 3.00 Deaths per 100,000 Population (2016) Timeplot
3.9.3 Mortality Rate Attributed to Unintentional Poisonings, Female: 2.20 Deaths per 100,000 Population (2016) Timeplot
3.9.3 Mortality Rate Attributed to Unintentional Poisonings, Male: 3.70 Deaths per 100,000 Population (2016) Timeplot
3.b.1 Proportion of the Target Population with Access to 3 Doses of Diphtheria-Tetanus-Pertussis (DTP3): 42.00 Percentage (2017) Timeplot
3.b.1 Proportion of the Target Population with Access to Pneumococcal Conjugate 3rd Dose (PCV3): 36.00 Percentage (2017) Timeplot
3.b.2 Total Official Development Assistance to Medical Research and Basic Heath Sectors, Gross Disbursement, by Recipient Countries: 534.01 Millions of Constant 2016 USD (2016) Timeplot
3.b.2 Total Official Development Assistance to Medical Research and Basic Heath Sectors, Net Disbursement, by Recipient Countries: 470.75 Millions of Constant 2016 USD (2016) Timeplot
3.c.1 Health Worker Density, Dentists: 0.53 Per 10,000 Population (2010) Timeplot
3.c.1 Health Worker Density, Medical Doctors: 3.83 Per 10,000 Population (2013) Timeplot
3.c.1 Health Worker Density, Nursing and Midwifery Personnel: 14.52 Per 10,000 Population (2013) Timeplot
3.c.1 Health Worker Density, Pharmacists: 0.94 Per 10,000 Population (2011) Timeplot
3.d.1 Average of 13 International Health Regulations (IHR) Core Capacities: 50.61 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR01 (National Legislation, Policy and Financing) (%): 50.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR02 (Coordination and National Focal Point Communications) (%): 83.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR03 (Surveillance) (%): 85.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR04 (Response) (%): 40.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR05 (Preparedness) (%): 33.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR06 (Risk Communication) (%): 57.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR07 (Human Resources) (%): 40.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR08 (Laboratory) (%): 73.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR09 (Points of Entry) (%): 3.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR10 (Zoonotic Events) (%): 56.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR11 (Food Safety) (%): 60.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR12 (Chemical Events) (%): 38.00 Percentage (2017) Timeplot
3.d.1 International Health Regulations (IHR) Capacity, IHR13 (Radionuclear Emergencies) (%): 38.00 Percentage (2017) Timeplot
4.5.1 Gender Parity Index of Trained Teachers in Primary Education: 1.17 Ratio (2010) Timeplot
4.5.1 Gender Parity Index of Trained Teachers in Secondary Education: 1.00 Ratio (2010) Timeplot
4.b.1 Total Official Flows for Scholarships, by Recipient Countries: 4.28 Millions of Constant 2016 USD (2016) Timeplot
4.c.1 Proportion of Teachers in Lower-Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Both Sexes: 85.01 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Lower-Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Female: 45.96 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Lower-Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Male: 84.33 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Pre-Primary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Female: 85.66 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Primary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Both Sexes: 66.15 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Primary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Female: 71.68 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Primary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Male: 61.01 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Both Sexes: 45.93 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Female: 45.96 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Male: 45.91 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Upper-Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Both Sexes: 18.53 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Upper-Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Female: 15.29 Percentage (2010) Timeplot
4.c.1 Proportion of Teachers in Upper-Secondary Education who have Received at least the Minimum Organized Teacher Training (e.g. pedagogical training) Pre-Service or in-Service Required for Teaching at the Relevant Level, Male: 21.28 Percentage (2010) Timeplot
5.5.1 Number of Seats Held by Women in National Parliaments: 20.00 Number (2018) Timeplot
5.5.1 Number of Seats in National Parliaments: 360.00 Number (2018) Timeplot
5.5.1 Proportion of Seats Held by Women in National Parliaments, (% of total number of seats): 5.56 Percentage (2018) Timeplot
8.1.1 Annual Growth Rate of Real GDP per Capita (%): -1.77 Percentage (2017) Timeplot
8.10.1 Number of Automated Teller Machines (ATMs) per 100,000 Adults 15+: 16.32 Number (2017) Timeplot
8.10.1 Number of Commercial Bank Branches per 100,000 Adults 15+: 4.44 Number (2017) Timeplot
8.10.2 Proportion of Adults (15 years and older) with an Account at a Financial Institution or Mobile-Money-Service Provider (% of adults aged 15 years and older) 15+ Both Sexes: 39.67 Percentage (2017) Timeplot
8.10.2 Proportion of Adults (15 years and older) with an Account at a Financial Institution or Mobile-Money-Service Provider (% of adults aged 15 years and older) 15+ Female: 27.28 Percentage (2017) Timeplot
8.10.2 Proportion of Adults (15 years and older) with an Account at a Financial Institution or Mobile-Money-Service Provider (% of adults aged 15 years and older) 15+ Male: 51.41 Percentage (2017) Timeplot
8.2.1 Annual Growth Rate of Real GDP per Employed Person (%): -0.30 Percentage (2018) Timeplot
8.4.2 Domestic Material Consumption per Capita, All Raw Materials: 3.44 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Biomass: 2.72 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Coal: 0.00 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Construction Dominant Non-Metallic Minerals: 0.60 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Crop Residues: 0.89 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Crops: 1.03 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Ferrous Ores: 0.02 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Fossil Fuels: 0.09 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Grazed Biomass and Fodder Crops: 0.51 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Industrial or Agricultural Dominant Non-Metallic Minerals: 0.00 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Metal Ores: 0.02 Tonnes (2016) Timeplot
8.4.2 Domestic Material Consumption per Capita, Natural Gas: 0.07 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Non-Ferrous Ores: 0.02 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Non-Metallic Minerals: 0.61 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Petroleum: 0.02 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Wild Catch and Harvest: 0.01 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Capita, Wood: 0.28 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, All Raw Materials: 1.43 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Biomass: 1.13 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Coal: 0.00 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Construction Dominant Non-Metallic Minerals: 0.25 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Crop Residues: 0.37 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Crops: 0.43 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Ferrous Ores: 0.01 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Fossil Fuels: 0.04 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Grazed Biomass and Fodder Crops: 0.21 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Industrial or Agricultural Dominant Non-Metallic Minerals: 0.00 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Metal Ores: 0.01 Kilograms per Constant 2010 USD (2016) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Natural Gas: 0.03 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Non-Ferrous Ores: 0.01 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Non-Metallic Minerals: 0.25 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Petroleum: 0.01 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Wild Catch and Harvest: 0.00 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption per Unit of GDP, Wood: 0.12 Kilograms per Constant 2010 USD (2017) Timeplot
8.4.2 Domestic Material Consumption, All Raw Materials: 656,465,615.87 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Biomass: 518,754,870.63 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Coal: 202,939.78 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Construction Dominant Non-Metallic Minerals: 114,793,076.57 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Crop Residues: 169,963,475.27 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Crops: 196,946,089.65 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Ferrous Ores: 3,381,748.31 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Fossil Fuels: 17,391,052.05 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Grazed Biomass and Fodder Crops: 97,068,723.53 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Industrial or Agricultural Dominant Non-Metallic Minerals: 755,560.02 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Metal Ores: 4,533,563.41 Tonnes (2016) Timeplot
8.4.2 Domestic Material Consumption, Natural Gas: 13,237,315.85 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Non-Ferrous Ores: 3,381,748.31 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Non-Metallic Minerals: 115,490,513.34 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Petroleum: 3,950,796.43 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Wild Catch and Harvest: 1,769,946.26 Tonnes (2017) Timeplot
8.4.2 Domestic Material Consumption, Wood: 53,006,635.91 Tonnes (2017) Timeplot
8.5.2 Unemployment Rate, 15+ Both Sexes: 7.10 Percentage (2016) Timeplot
8.5.2 Unemployment Rate, 15+ Female: 8.00 Percentage (2016) Timeplot
8.5.2 Unemployment Rate, 15+ Male: 6.10 Percentage (2016) Timeplot
8.5.2 Unemployment Rate, 15-24 Both Sexes: 12.40 Percentage (2016) Timeplot
8.5.2 Unemployment Rate, 15-24 Female: 11.50 Percentage (2013) Timeplot
8.5.2 Unemployment Rate, 15-24 Male: 8.90 Percentage (2013) Timeplot
8.5.2 Unemployment Rate, 25+ Both Sexes: 5.70 Percentage (2016) Timeplot
8.5.2 Unemployment Rate, 25+ Female: 2.30 Percentage (2013) Timeplot
8.5.2 Unemployment Rate, 25+ Male: 3.10 Percentage (2013) Timeplot
8.a.1 Total Official Flows (commitments) for Aid for Trade, by Recipient Countries: 259.98 Millions of Constant 2016 USD (2016) Timeplot
8.a.1 Total Official Flows (disbursement) for Aid for Trade, by Recipient Countries: 400.37 Millions of Constant 2016 USD (2016) Timeplot
9.2.1 Manufacturing Value Added as a Proportion of GDP: 9.32 Percentage (2018) Timeplot
9.2.1 Manufacturing Value Added per Capita: 223.30 Constant 2010 USD (2018) Timeplot
9.2.2 Manufacturing Employment as a Proportion of Total Employment: 7.88 Percentage (2013) Timeplot
9.4.1 Carbon Dioxide Emissions from Fuel Combustion: 85.99 Million Ton (2016) Timeplot
9.4.1 Carbon Dioxide Emissions per Unit of GDP: 0.09 Kilograms of CO2 per Constant 2010 USD (2016) Timeplot
9.4.1 Carbon Dioxide Emissions per Unit of Manufacturing Value Added: 0.16 Kilograms of CO2 per Constant 2010 USD (2016) Timeplot
9.5.1 Research and Development Expenditure as a Proportion of GDP: 0.22 Percentage (2007) Timeplot
9.a.1 Total Official flows for Infrastructure, by Recipient Countries: 544.92 Millions of Constant 2016 USD (2016) Timeplot
9.b.1 Proportion of Medium and High-tech Industry Value Added in Total Value Added: 33.44 Percentage (2016) Timeplot
9.c.1 Proportion of Population Covered by a Mobile Network, 2G: 92.70 Percentage (2017) Timeplot
9.c.1 Proportion of Population Covered by a Mobile Network, 3G: 54.00 Percentage (2017) Timeplot
9.c.1 Proportion of Population Covered by a Mobile Network, 4G: 50.84 Percentage (2017) Timeplot