variable information
| Variable Name | Description | Manual normalization |
|---|---|---|
| CSSE: Confirmed Global | Global confirmed cases. This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). | Yes |
| CSSE: Deaths Global | Deaths confirmed cases. This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). | Yes |
| CSSE: Recovered Global | Global recovered cases. This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). | Yes |
| OWiD: Stringency Index | Government Response Stringency Index: composite measure based on 9 response indicators including school closures, workplace closures, and travel bans, rescaled to a value from 0 to 100 (100 = strictest response) | No |
| Under-five mortality rate | Mortality rate - Year 2018 | Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year. | No |
| Women who were first married by age 18 | Women who were first married by age 18 (% of women ages 20-24)(Female) - Year 2011-18 | Women who were first married by age 18 (% of women ages 20-24) | No |
| Wage and salary workers | Wage and salaried workers(Male) - Year 2018 | Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs', where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work. | No |
| Wage and salary workers | Wage and salaried workers(Female) - Year 2018 | Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs', where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work. | No |
| Urban population living in slums | population - Year 2014 | Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements | No |
| Surface area - Year 2019 | Surface area is a country's total area, including areas under inland bodies of water and some coastal waterways. | No |
| People using safely managed sanitation services - Year 2017 | The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs. | No |
| Renewable energy consumption - Year 2015 | Renewable energy consumption is the share of renewables energy in total final energy consumption. | No |
| Purchasing power parity gross national income | Gross national income by purchasing power parity - Year 2019 | This indicator provides values for gross national income (GNI. Formerly GNP) expressed in current international dollars converted by purchasing power parity (PPP) conversion factor. Gross national income is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From July 2020, “GNI: linked series (current LCU)” [NY.GNP.MKTP.CN.AD] is used as underlying GNI in local currency unit so that it’s in line with time series of PPP conversion factors, which are extrapolated with linked deflators. | No |
| Prevalence of child malnutrition | prevalence stunting height age - Year 2011-19 | Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006. | No |
| Access to electricity - Year 2017 | Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources. | No |
| Account ownership at a financial institution(Male) - Year 2017 | Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (male, % age 15+). | No |
| Account ownership at a financial institution(Female) - Year 2017 | Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (male, % age 15+). | No |
| Adjusted net savings | Adjusted net savings, including particulate emission damage (% of GNI) - Year 2018 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Adjusted net savings | Adjusted net savings, including particulate emission damage (% of GNI) - Year 2017 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Savings: Adjusted net savings | Adjusted net savings, including particulate emission damage (% of GNI) - Year 2018 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Savings: Adjusted net savings | Adjusted net savings, including particulate emission damage (% of GNI) - Year 2017 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Adjusted net savings - Year 2018 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Adjusted net savings - Year 2017 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Savings: Adjusted net savings | Adjusted net savings - Year 2018 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Savings: Adjusted net savings | Adjusted net savings - Year 2017 | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | No |
| Carbon dioxide emissions | CO2 emissions (metric tons per capita) - Year 2014 | Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. | No |
| Contributing family workers(Male) - Year 2018 | Contributing family workers are those workers who hold 'self-employment jobs' as own-account workers in a market-oriented establishment operated by a related person living in the same household | No |
| Contributing family workers(Female) - Year 2018 | Contributing family workers are those workers who hold 'self-employment jobs' as own-account workers in a market-oriented establishment operated by a related person living in the same household | No |
| People using safely managed drinking water services - Year 2017 | The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water. | No |
| Expenditures for R&D | Research and development expenditure (% of GDP) - Year 2015 | Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development. | No |
| Gross national income | Gross national income per capita - Year 2019 | GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States. | No |
| Gross national income - Year 2019 | GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States. | No |
| Intentional homicides | Intentional homicides (per 100,000 people) - Year 2015 | Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded. | No |
| Life expectancy at birth(Male) - Year 2018 | Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. | No |
| Life expectancy at birth(Female) - Year 2018 | Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. | No |
| Maternal mortality ratio(Female) - Year 2017 | Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs). | No |
| Mortality caused by road traffic injury | Mortality - Year 2016 | Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population. | No |
| Nationally protected terrestrial and marine areas | Terrestrial and marine protected areas (% of total territorial area) - Year 2018 | Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. Sites protected under local or provincial law are excluded. | No |
| Percentage share of income or consumption | Income share - Year 2006-17 | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. | No |
| Ambient PM2.5 air pollution | Mean annual exposure - Year 2016 | Population-weighted exposure to ambient PM2.5 pollution is defined as the average level of exposure of a nation's population to concentrations of suspended particles measuring less than 2.5 microns in aerodynamic diameter, which are capable of penetrating deep into the respiratory tract and causing severe health damage. Exposure is calculated by weighting mean annual concentrations of PM2.5 by population in both urban and rural areas. | No |
| Population - Year 2019 | Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates. | No |
| Population density - Year 2019 | Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes. | No |
| Completeness of birth registration | Percent of Completed Birth Registrations - Year 2013-18 | Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. | No |
| Internet use | Individuals using the Internet (% of population) - Year 2018 | Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc. | No |
| Completeness of death registration | Percent of Completed Death Registrations - Year 2008-16 | Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country. | No |
| External health expenditure | Percent of current external health expenditure - Year 2017 | Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes. | No |
| Health expenditure | Current health expenditure - Year 2017 | Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks. | No |
| Health expenditure | Domestic general government health - Year 2017 | Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks. | No |
| Health expenditure | Out-of-pocket expenditure - Year 2017 | Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks. | No |
| Health expenditure | Current health expenditure per capita - Year 2017 | Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks. | No |
| Health expenditure | Current health expenditure per capita, PPP - Year 2017 | Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks. | No |
| Health workers | Physicians per 1000 people - Year 2013-18 | Physicians include generalist and specialist medical practitioners. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses. | No |
| Health workers | Nurses and midwives per 1000 people - Year 2013-18 | Physicians include generalist and specialist medical practitioners. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses. | No |
| Specialist surgical workforce | Specialist Surgical Workforce per 100000 population - Year 2008-18 | Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population. | No |
| Body mass index(Female) - Year 2015 | Indicate the overallmean, malemean and femalemean body mass index per country (kg/m^2) | No |
| Body mass index(Male) - Year 2015 | Indicate the overallmean, malemean and femalemean body mass index per country (kg/m^2) | No |
| Cancer, diabetes, cardiovascular or chronic respiratory diseases mortality | Mortality Cardiovascular Cancer(Male) - Year 2016 | Percentage of mortality between 30 and 70 years, from cardiovascular diseases, cancer, diabetes or chronic respiratory diseases. | No |
| Cancer, diabetes, cardiovascular or chronic respiratory diseases mortality | Mortality Cardiovascular Cancer(Female) - Year 2016 | Percentage of mortality between 30 and 70 years, from cardiovascular diseases, cancer, diabetes or chronic respiratory diseases. | No |
| Obesity rate - Year 2016 | Percentage obesity per country | No |
| Prevalence of diabetes | Prevalence Diabetes - Year 2019 | Percentage of population prevalence diabetes (ages 20 - 79) | No |
| Prevalence of overweight children | Prevalence Overweight Children(Male) - Year 2011-19 | Percentage of childen under 5 years with overweight per country | No |
| Prevalence of overweight children | Prevalence Overweight Children(Female) - Year 2011-19 | Percentage of childen under 5 years with overweight per country | No |
| Internet application | Secure internet servers (per 1,000,000 people) - Year 2018 | The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey | No |
| Mobile (Cellular only) download speed | Average data transfer rates for Internet access (Mb/s) - Year 2019 | list of countries by Internet connection speed lists the average data transfer rates for Internet access by end-users on mobile devices | No |
| Highest temperatures ever recorded | highest temperature ever recorded | The standard measuring conditions for temperature are in the air, 1.5 metres (5 ft) above the ground, and shielded from direct sunlight intensity (hence the term, x degrees in the shade). | No |
| Lowest temperatures ever recorded | lowest temperature ever recorded | The standard measuring conditions for temperature are in the air, 1.5 metres (5 ft) above the ground, and shielded from direct sunlight intensity (hence the term, x degrees in the shade). | No |
| Adult mortality rate | Adult male mortality per 1000 population - Year 2013-18 | Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. | No |
| Adult mortality rate | Adult female mortality per 1000 population - Year 2013-18 | Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. | No |
| Infant mortality rate | Infant mortality per 1000 live births in 1990 - Year 1990-19 | Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. | No |
| Infant mortality rate | Infant mortality per 1000 live births in 2019 - Year 1990-19 | Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. | No |
| Life expectancy birth total | Percent of life expectancy at birth in 1990 - Year 1990-18 | Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. | No |
| Life expectancy birth total | Percent of life expectancy at birth in 2018 - Year 1990-18 | Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. | No |
| Neonatal mortality rate | Neonatal mortality per 1000 live births in 1990 - Year 1990-19 | Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year. | No |
| Neonatal mortality rate | Neonatal mortality per 1000 live births in 2019 - Year 1990-19 | Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year. | No |
| Transport: Ports | Port container traffic in Twenty-foot containers (TEU) - Year 2018 | Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units. | No |
| Transport: Air | Registered carrier departures - Year 2018 | The air transport data represent the total (international and domestic) scheduled traffic carried by the air carriers registered in a country. Countries submit air transport data to International Civil Aviation Organization (ICAO) on the basis of standard instructions and definitions issued by ICAO. In many cases, however, the data include estimates by ICAO for nonreporting carriers. Where possible, these estimates are based on previous submissions supplemented by information published by the air carriers, such as flight schedules. | No |
| Transport: Air | Air passengers carried - Year 2018 | The air transport data represent the total (international and domestic) scheduled traffic carried by the air carriers registered in a country. Countries submit air transport data to International Civil Aviation Organization (ICAO) on the basis of standard instructions and definitions issued by ICAO. In many cases, however, the data include estimates by ICAO for nonreporting carriers. Where possible, these estimates are based on previous submissions supplemented by information published by the air carriers, such as flight schedules. | No |
| Transport: Air | Air freight - Year 2018 | The air transport data represent the total (international and domestic) scheduled traffic carried by the air carriers registered in a country. Countries submit air transport data to International Civil Aviation Organization (ICAO) on the basis of standard instructions and definitions issued by ICAO. In many cases, however, the data include estimates by ICAO for nonreporting carriers. Where possible, these estimates are based on previous submissions supplemented by information published by the air carriers, such as flight schedules. | No |
| Transport: Railways | Rail lines (total route-km) - Year 2017 | Railways transport indicator data as total raillines kilometers, passengers carried per kilometer and goods transported. | No |
| Transport: Railways | Passengers carried by railway - Year 2017 | Railways transport indicator data as total raillines kilometers, passengers carried per kilometer and goods transported. | No |
| Transport: Railways | Goods transported by railway - Year 2017 | Railways transport indicator data as total raillines kilometers, passengers carried per kilometer and goods transported. | No |
| Population by gender | population(Female) - Year 2019 | Population by Country | No |
| Population by gender | population(Male) - Year 2019 | Population by Country | No |
| Number of deaths by risk factor: Obesity | Deaths - Year 2017 | Number of deaths per risk factor (Obesity) | Yes |
| Number of deaths by risk factor: High blood sugar | Deaths - Year 2017 | Number of deaths per risk factor (hyperglycemia) | Yes |
| Number of deaths by risk factor: Drug use | Deaths - Year 2017 | A drug overdose (overdose or OD) is the ingestion or application of a drug or other substance in quantities greater than are recommended. Typically it is used for cases when a risk to health will potentially result. An overdose may result in a toxic state or death. | Yes |
| Number of deaths by risk factor: High blood pressure | Deaths - Year 2017 | Death risk factor for having high blood pressure | Yes |
| Number of deaths by risk factor: Smoking | Deaths - Year 2017 | Death risk factor for smoking | Yes |
| Number of deaths by risk factor: No access to handwashing facility | Deaths - Year 2017 | Death risk factor for no handwashing | Yes |
| Number of deaths by risk factor: Alcohol use | Deaths - Year 2017 | Drinking too much can harm your health. Excessive alcohol use led to approximately 95,000 deaths and 2.8 million years of potential life lost (YPLL) each year in the United States from 2011 – 2015, shortening the lives of those who died by an average of 29 years | Yes |
| Youth unemployment | Unemployment(Male) - Year 2000 | Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) | No |
| Youth unemployment | Unemployment(Male) - Year 2018 | Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) | No |
| Youth unemployment | Unemployment(Female) - Year 2000 | Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) | No |
| Youth unemployment | Unemployment(Female) - Year 2018 | Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) | No |
| Savings: Local pollution damage | Adjusted savings: particulate emission damage (% of GNI) - Year 2018 | Particulate emissions damage is the damage due to exposure of a country's population to ambient concentrations of particulates measuring less than 2.5 microns in diameter (PM2.5), ambient ozone pollution, and indoor concentrations of PM2.5 in households cooking with solid fuels. Damages are calculated as foregone labor income due to premature death. Estimates of health impacts from the Global Burden of Disease Study 2013 are for 1990, 1995, 2000, 2005, 2010, and 2013. Data for other years have been extrapolated from trends in mortality rates. | No |
| Total greenhouse gas emissions - Year 2012 | Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6). | No |
| Total greenhouse gas emissions - Year 1990-20 | Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6). | No |
| Median Age | Age - Year 2019 | This entry is the age that divides a population into two numerically equal groups. That is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. Currently, the median age ranges from a low of about 15 in Niger and Uganda to 40 or more in several European countries and Japan. See the entry for 'Age structure' for the importance of a young versus an older age structure and, by implication, a low versus a higher median age. | No |
| Women in parliaments | Proportion of seats held in national parliaments (%)(Female) - Year 2019 | Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women. | No |
| Women Business and the Law Index Score | Women Business and the Law Index Score (scale 1-100) (Female) - Year 2019 | The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each of the eight areas (Going Places, Starting a Job, Getting Paid, Getting Married, Having Children, Running a Business, Managing Assets and Getting a Pension), with 100 representing the highest possible score. | No |
| International tourists: Inbound | Inbound Tourists - Year 2012 | International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival. | No |
| International tourists: Inbound | Inbound Tourists - Year 2018 | International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival. | No |
| International tourists: Outbound | Outbound Tourists - Year 2012 | International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure. | No |
| International tourists: Outbound | Outbound Tourists - Year 2018 | International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure. | No |
| Growth of merchandise trade: Export volume | Export volume index (2000 = 100) - Year 2006-16 | Export volume indexes are derived from UNCTAD's volume index series and are the ratio of the export value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the export volume indexes (lines 72) in the IMF's International Financial Statistics are used. | No |
| Growth of merchandise trade: Import volume | Import volume index (2000 = 100) - Year 2006-16 | Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the import volume indexes (lines 73) in the IMF's International Financial Statistics are used. | No |
| Growth of merchandise trade: Export value | Export value index (2000 = 100) - Year 2006-16 | Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's export value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the export value indexes are derived from export volume indexes (line 72) and corresponding unit value indexes of exports (line 74) in the IMF's International Financial Statistics. | No |
| Growth of merchandise trade: Import value | Import value index (2000 = 100) - Year 2006-16 | Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's import value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the import value indexes are derived from import volume indexes (line 73) and corresponding unit value indexes of imports (line 75) in the IMF's International Financial Statistics. | No |
| Government Expenditure: Goods and services | Goods and services expense (% of expense) - Year 2010 | Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. | No |
| Government Expenditure: Goods and services | Goods and services expense (% of expense) - Year 2018 | Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. | No |
| Government Expenditure: Interest payments | Interest payments (% of expense) - Year 2010 | Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. | No |
| Government Expenditure: Interest payments | Interest payments (% of expense) - Year 2018 | Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. | No |
| Government Expenditure: Compensation of employees | Compensation of employees (% of expense) - Year 2010 | Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees. | No |
| Government Expenditure: Compensation of employees | Compensation of employees (% of expense) - Year 2018 | Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees. | No |
| Government Expenditure: Subsidies and other transfers | Subsidies and other transfers (% of expense) - Year 2010 | Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind. | No |
| Government Expenditure: Subsidies and other transfers | Subsidies and other transfers (% of expense) - Year 2018 | Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind. | No |
| Government Expenditure: Other expense | Other expense (% of expense) - Year 2010 | Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. | No |
| Government Expenditure: Other expense | Other expense (% of expense) - Year 2018 | Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. | No |
| Government Revenues: Taxes on income, profits and capital gains | Taxes on income, profits and capital gains (% of revenue) - Year 2010 | Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation. | No |
| Government Revenues: Taxes on income, profits and capital gains | Taxes on income, profits and capital gains (% of revenue) - Year 2018 | Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation. | No |
| Government Revenues: Taxes on goods and services | Taxes on goods and services (% of revenue) - Year 2010 | \tTaxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies. | No |
| Government Revenues: Taxes on goods and services | Taxes on goods and services (% of revenue) - Year 2018 | \tTaxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies. | No |
| Government Revenues: Taxes on international trade | Taxes on international trade (% of revenue) - Year 2010 | Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. | No |
| Government Revenues: Taxes on international trade | Taxes on international trade (% of revenue) - Year 2018 | Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. | No |
| Government Revenues: Other taxes | Other taxes (% of revenue) - Year 2010 | Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. | No |
| Government Revenues: Other taxes | Other taxes (% of revenue) - Year 2018 | Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. | No |
| Government Revenues: Social contributions | Social contributions (% of revenue) - Year 2010 | Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments. | No |
| Government Revenues: Social contributions | Social contributions (% of revenue) - Year 2018 | Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments. | No |
| Government Revenues: Grants and other revenue | Grants and other revenue (% of revenue) - Year 2010 | Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government ownership of property); and voluntary, unrequited, nonrepayable receipts other than grants. | No |
| Government Revenues: Grants and other revenue | Grants and other revenue (% of revenue) - Year 2018 | Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government ownership of property); and voluntary, unrequited, nonrepayable receipts other than grants. | No |
| Government: Revenue | Revenue, excluding grants (% of GDP) - Year 2010 | Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. | No |
| Government: Revenue | Revenue, excluding grants (% of GDP) - Year 2018 | Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. | No |
| Government: Expense | Expense (% of GDP) - Year 2010 | Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends. | No |
| Government: Expense | Expense (% of GDP) - Year 2018 | Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends. | No |
| Government: Net investment in nonfinancial assets | Net investment in nonfinancial assets (% of GDP) - Year 2010 | Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital. | No |
| Government: Net investment in nonfinancial assets | Net investment in nonfinancial assets (% of GDP) - Year 2018 | Net investment in government nonfinancial assets includes fixed assets, inventories, valuables, and nonproduced assets. Nonfinancial assets are stores of value and provide benefits either through their use in the production of goods and services or in the form of property income and holding gains. Net investment in nonfinancial assets also includes consumption of fixed capital. | No |
| Government: Net lending (+) / net borrowing (-) | Net lending (+) / net borrowing (-) (% of GDP) - Year 2010 | Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad. | No |
| Government: Net lending (+) / net borrowing (-) | Net lending (+) / net borrowing (-) (% of GDP) - Year 2018 | Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad. | No |
| Government: Net acquisition of financial assets | Net acquisition of financial assets (% of GDP) - Year 2010 | Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities. | No |
| Government: Net acquisition of financial assets | Net acquisition of financial assets (% of GDP) - Year 2018 | Net acquisition of government financial assets includes domestic and foreign financial claims, SDRs, and gold bullion held by monetary authorities as a reserve asset. The net acquisition of financial assets should be offset by the net incurrence of liabilities. | No |
| Government: Net incurrence of liabilities | Net incurrence of liabilities, total (% of GDP) - Year 2010 | Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets. | No |
| Government: Net incurrence of liabilities | Net incurrence of liabilities, total (% of GDP) - Year 2018 | Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of liabilities should be offset by the net acquisition of financial assets. | No |
| Government: Debt payments | Central government debt, total (% of GDP) - Year 2010 | Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year. | No |
| Government: Debt payments | Central government debt, total (% of GDP) - Year 2018 | Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year. | No |
| Government: Interest payments | Interest payments (% of revenue) - Year 2010 | Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. | No |
| Government: Interest payments | Interest payments (% of revenue) - Year 2018 | Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. | No |
| Growth of merchandise trade: Net barter terms of trade index | Net barter terms of trade index (2000 = 100) - Year 2016 | Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights. | No |
| Exports: To low- and middle-income economies, Within region | Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) - Year 2007 | Merchandise exports to low- and middle-income economies within region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in the same World Bank region as a percentage of total merchandise exports by the economy. | No |
| Exports: To low- and middle-income economies, Within region | Merchandise exports to low- and middle-income economies within region (% of total merchandise exports) - Year 2017 | Merchandise exports to low- and middle-income economies within region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in the same World Bank region as a percentage of total merchandise exports by the economy. | No |
| Exports: To low- and middle-income economies, Outside region | Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) - Year 2007 | Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Exports: To low- and middle-income economies, Outside region | Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) - Year 2017 | Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Exports: To high-income economies | Merchandise exports to high-income economies (% of total merchandise exports) - Year 2007 | Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Exports: To high-income economies | Merchandise exports to high-income economies (% of total merchandise exports) - Year 2017 | Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Imports: To low- and middle-income economies, Outside region | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) - Year 2007 | Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Imports: To low- and middle-income economies, Outside region | Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) - Year 2017 | Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Imports: To high-income economies | Merchandise imports from high-income economies (% of total merchandise imports) - Year 2007 | Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Imports: To high-income economies | Merchandise imports from high-income economies (% of total merchandise imports) - Year 2017 | Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. | No |
| Goods and services Exports | Exports of goods and services - Year 2010 | Exports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, net exports of goods under merchanting, nonmonetary gold, and services. Data are in current U.S. dollars. | No |
| Goods and services Exports | Exports of goods and services - Year 2019 | Exports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, net exports of goods under merchanting, nonmonetary gold, and services. Data are in current U.S. dollars. | No |
| Goods and services Imports | Imports of goods and services - Year 2010 | Imports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, nonmonetary gold, and services. Data are in current U.S. dollars. | No |
| Exports of goods and services - Year 2010 | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. | No |
| Exports of goods and services - Year 2019 | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. | No |
| Imports of goods and services - Year 2010 | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. | No |
| Imports of goods and services - Year 2019 | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. | No |
| Blood type distribution(Type O) | People with RH- (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Blood type distribution(Type A) | People with RH- (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Blood type distribution(Type B) | People with RH- (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Blood type distribution(Type AB) | People with RH- (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Blood type distribution(Type O) | People with RH+ (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Blood type distribution(Type A) | People with RH+ (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Blood type distribution(Type B) | People with RH+ (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Blood type distribution(Type AB) | People with RH+ (Rh blood group system) | This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system. | No |
| Deaths attributed to non-communicable diseases:Diabetes mellitus | Deaths(Male) - Year 2016 | Number of deaths attributed to Diabetes mellitus | Yes |
| Deaths attributed to non-communicable diseases:Diabetes mellitus | Deaths(Female) - Year 2016 | Number of deaths attributed to Diabetes mellitus | Yes |
| Deaths attributed to non-communicable diseases:Chronic obstructive pulmonary disease | Deaths(Male) - Year 2016 | Number of deaths attributed to non-communicable diseases: Chronic obstructive pulmonary disease. | Yes |
| Deaths attributed to non-communicable diseases:Chronic obstructive pulmonary disease | Deaths(Female) - Year 2016 | Number of deaths attributed to non-communicable diseases: Chronic obstructive pulmonary disease. | Yes |
| Number of deaths attributed to non-communicable diseases: Cardiovascular diseases | Deaths(Male) - Year 2016 | Number of deaths attributed to non-communicable diseases: Cardiovascular diseases | Yes |
| Number of deaths attributed to non-communicable diseases: Cardiovascular diseases | Deaths(Female) - Year 2016 | Number of deaths attributed to non-communicable diseases: Cardiovascular diseases | Yes |
| Deaths - Chronic respiratory diseases | Deaths - Year 2017 | Age-standardized death rates from respiratory disease, measured as the number of deaths per 100,000 individuals across both sexes. Age-standardization assumes aconstant population age & structure to allow for comparisons between countries and with time without the effects of a changing age distribution within a population (e.g. aging). | No |
| Deaths - Cardiovascular diseases | Deaths - Year 2017 | The annual number of deaths from cardiovascular diseases per 100,000 people. | No |
| Deaths - Mental and substance use disorders | Deaths - Year 2017 | Age-standardized direct death rates from mental health and substance use disorders, measured per 100,000 individuals. These include alcohol use, drug use, and eating disorders. Figures do not include deaths resultant from suicide, which in some cases are related to mental health and substance use disorders. | No |
| Deaths - Alzheimer disease and other dementias | Deaths - Year 2017 | The annual number of deaths from Alzheimer's disease and other forms of dementia per 100,000 people. | No |
