IndicatorName: Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure

Shortdefinition: Catastrophic Health Expenditure, 10% of total expenditure/income

Source: Wagstaff et al. Progress on catastrophic health spending: results for 133 countries. A retrospective observational study, Lancet Global Health 2017.

Statisticalconceptandmethodology: Out-of-pocket payments are those made by people at the time of getting any type of service (preventive, curative, rehabilitative, palliative or long-term care) provided by any type of provider. They include cost-sharing (the part not covered by a third party like an insurer) and informal payments, but they exclude insurance premiums. Out-of-pocket payments exclude any reimbursement by a third party, such as the government, a health insurance fund or a private insurance company. Out-of-pocket payments are defined as catastrophic at the 10% threshold when they represent 10% or more of total consumption or income.


Aggregationmethod: Weighted average

Developmentrelevance: Universal Health Coverage (UHC) is about ensuring that all people can access the health services they need – without facing financial hardship – is key to improving the well-being of a country’s population. UHC is also an investment in human capital and a foundational driver of inclusive and sustainable economic growth and development. UHC is a target associated with the Sustainable Development Goals (target 3.8), and it relates directly to Goal 3 (Ensure healthy lives and promote well-being for all at all ages) and to Goal 1 (End poverty in all its forms everywhere).

IndicatorName: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)

License_Type: CC BY-4.0

Longdefinition: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure, expressed as a percentage of a total population of a country

Periodicity: Annual

Shortdefinition: Catastrophic Health Expenditure, 10% of total expenditure/income (%)

Topic: Health: Universal Health Coverage


Aggregationmethod: Sum

IndicatorName: Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure

Shortdefinition: Catastrophic Health Expenditure, 25% of total expenditure/income (thousands)

Statisticalconceptandmethodology: Out-of-pocket payments are those made by people at the time of getting any type of service (preventive, curative, rehabilitative, palliative or long-term care) provided by any type of provider. They include cost-sharing (the part not covered by a third party like an insurer) and informal payments, but they exclude insurance premiums. Out-of-pocket payments exclude any reimbursement by a third party, such as the government, a health insurance fund or a private insurance company. Out-of-pocket payments are defined as catastrophic at the 25% threshold when they represent 25% or more of total consumption or income.


IndicatorName: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)

Longdefinition: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure, expressed as a percentage of a total population of a country

Shortdefinition: Catastrophic Health Expenditure, 25% of total expenditure/income (%)


IndicatorName: UHC service coverage index

Longdefinition: Coverage index for essential health services (based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, noncommunicable diseases and service capacity and access). It is presented on a scale of 0 to 100. Values greater than or equal to 80 are presented as 80 as the index does not provide fine resolution at high values.

Shortdefinition: UHC service coverage index

Source: Hogan et al. An index of the coverage of essential health services for monitoring UHC within the SDGs, Lancet Global Health 2017.

Statisticalconceptandmethodology: Under SDG 3.8.1, four categories were defined RMNCH, infectious diseases, non-communicable diseases and service capacity and access. Each category contains several tracers. The index is constructed from geometric means of the tracer indicators; first, within each of the four categories, and then across the four category-specific means to obtain the final summary index. See Source for details about methodology.


Generalcomments: License Type: CC BY-4.0 (https://datacatalog.worldbank.org/public-licenses#cc-by)

IndicatorName: Domestic comprehensive wealth per capita index (real chained 2019 US$)

Longdefinition: The domestic comprehensive wealth index excludes net foreign financial assets and aggregates produced capital, nonrenewable and renewable natural capital, and human capital. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index, and cannot be aggregated by summing the sub-wealth categories.

Source: World Bank. 2024. The Changing Wealth of Nations 2024: Revisiting the Measurement of Comprehensive Wealth. Washington, DC: World Bank.

Statisticalconceptandmethodology: The aggregate national comprehensive wealth index is calculated using the Törnqvist volume index, applied to wealth categories like produced capital, nonrenewable and renewable natural capital, human capital, and net foreign financial assets. For each asset, except financial assets, an unchained index is first computed as a weighted geometric mean of the "quantity relatives" between periods, using nominal value shares as weights. These unchained indices are then chained to form a time series with 2019 as the base year. Since each category is calculated using this method, they cannot be simply added to estimate the total index. The final chained index is expressed in monetary terms by applying the chained Törnqvist index to the base year’s aggregate nominal value, providing a more accurate reflection of wealth changes and sustainability.

Topic: Total wealth

Unitofmeasure: Real chained 2019 US$


IndicatorName: Domestic comprehensive wealth per capita index (current US$)

Unitofmeasure: Current US$


IndicatorName: Domestic comprehensive wealth index (real chained 2019 US$)


IndicatorName: Domestic comprehensive wealth index (current US$)


IndicatorName: Human capital per capita, female (real chained 2019 US$)

Longdefinition: Human capital is calculated as the present value of future earnings for the working population, categorized by age, gender, and education. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method

Topic: Human capital


IndicatorName: Human capital per capita, female (current US$)

Longdefinition: Nominal human capital is calculated as the present value of future earnings for the working population, categorized by age, gender, and education. The values are reported in current US dollars, reflecting the monetary value at the time of measurement.

Statisticalconceptandmethodology: Total wealth is calculated by summing up the nominal estimates of each component of wealth: produced capital, natural capital, human capital, and net foreign assets. The construction of these wealth accounts is guided by the concepts and methods of the System of National Accounts (SNA), a framework developed by the UN Statistical Commission used by virtually all countries. While produced capital and net foreign assets are derived from observed transactions, the values of natural capital and human capital are estimated using the discounted stream of expected net earnings (resource rents for natural capital and wages for human capital) over their lifetime. The values are expressed in current US dollars without adjustments for inflation or changes in asset volumes over time.


IndicatorName: Human capital, female (real chained 2019 US$)


IndicatorName: Human capital, female (current US$)


IndicatorName: Human capital per capita, male (real chained 2019 US$)


IndicatorName: Human capital per capita, male (current US$)


IndicatorName: Human capital, male (real chained 2019 US$)


IndicatorName: Human capital, male (current US$)


IndicatorName: Human capital per capita (real chained 2019 US$)


IndicatorName: Human capital per capita (current US$)


IndicatorName: Human capital (real chained 2019 US$)


IndicatorName: Human capital (current US$)


IndicatorName: Renewable natural capital per capita, agricultural land (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like agricultural land, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.

Topic: Renewable natural capital


IndicatorName: Renewable natural capital per capita, agricultural land (current US$)

Longdefinition: Nominal renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in current US dollars, calculated using market exchange rates and without the adjustments applied for inflation or volume indices.


IndicatorName: Renewable natural capital, agricultural land (real chained 2019 US$)


IndicatorName: Renewable natural capital, agricultural land (current US$)


IndicatorName: Renewable natural capital per capita, agricultural land: cropland (current US$)


IndicatorName: Renewable natural capital, agricultural land: cropland (current US$)


IndicatorName: Renewable natural capital per capita, fisheries (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like fisheries, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.


IndicatorName: Renewable natural capital per capita, fisheries (current US$)


IndicatorName: Renewable natural capital, fisheries (real chained 2019 US$)


IndicatorName: Renewable natural capital, fisheries (current US$)


IndicatorName: Renewable natural capital per capita, forest recreation, hunting and fishing services (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like forest recreation, hunting and fishing services, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.


IndicatorName: Renewable natural capital per capita, forest recreation, hunting and fishing services (current US$)


IndicatorName: Renewable natural capital, forest recreation, hunting and fishing services (real chained 2019 US$)


IndicatorName: Renewable natural capital, forest recreation, hunting and fishing services (current US$)


IndicatorName: Renewable natural capital per capita, nonwood forest protection ecosystem services (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like non-wood forest protection ecosystem services, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.


IndicatorName: Renewable natural capital per capita, nonwood forest protection ecosystem services (current US$)


IndicatorName: Renewable natural capital, nonwood forest protection ecosystem services (real chained 2019 US$)


IndicatorName: Renewable natural capital, nonwood forest protection ecosystem services (current US$)


IndicatorName: Renewable natural capital per capita, forest water ecosystem services (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like forest water ecosystem services, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.


IndicatorName: Renewable natural capital per capita, forest water ecosystem services (current US$)


IndicatorName: Renewable natural capital, forest water ecosystem services (real chained 2019 US$)


IndicatorName: Renewable natural capital, forest water ecosystem services (current US$)


IndicatorName: Renewable natural capital per capita, timber (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like timber, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.


IndicatorName: Renewable natural capital per capita, timber (current US$)


IndicatorName: Renewable natural capital, timber (real chained 2019 US$)


IndicatorName: Renewable natural capital, timber (current US$)


IndicatorName: Renewable natural capital per capita, hydropower energy (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like hydropower, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.


IndicatorName: Renewable natural capital per capita, hydropower energy (current US$)


IndicatorName: Renewable natural capital, hydropower energy (real chained 2019 US$)


IndicatorName: Renewable natural capital, hydropower energy (current US$)


IndicatorName: Renewable natural capital per capita, mangroves (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of renewable natural capital, like mangroves, are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.


IndicatorName: Renewable natural capital, mangroves (current US$)


IndicatorName: Renewable natural capital, mangroves (real chained 2019 US$)


IndicatorName: Renewable natural capital per capita, mangroves (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: bauxite (real chained 2019 US$)

Longdefinition: Nonrenewable natural capital includes assets such as oil, natural gas, coal, and metals and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, cobalt, molybdenum, platinum, and lithium). The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method. Individual sub-components of nonrenewable natural capital are not calculated using the Törnqvist index, as their trends follow changes in physical volumes expressed in real 2019 chained US dollars.

Topic: Nonrenewable natural capital


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: bauxite (current US$)

Longdefinition: Nominal nonrenewable natural capital includes assets such as oil, natural gas, coal, and metals and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, cobalt, molybdenum, platinum, and lithium). The values are reported in current US dollars, based on market exchange rates and without adjustments for inflation or volume indices.


IndicatorName: Nonrenewable natural capital, metals and minerals: bauxite (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: bauxite (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: cobalt (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: cobalt (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: cobalt (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: cobalt (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: copper (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: copper (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: copper (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: copper (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: gold (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: gold (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: gold (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: gold (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals, sub-index, total (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals, sub-index, total (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals, sub-index, total (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals, sub-index, total (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: iron ore (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: iron ore (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: iron ore (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: iron ore (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: lead (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: lead (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: lead (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: lead (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: lithium (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: lithium (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: lithium (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: lithium (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: molybdenum (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: molybdenum (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: molybdenum (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: molybdenum (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: nickel (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: nickel (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: nickel (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: nickel (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: phosphate (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: phosphate (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: phosphate (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: phosphate (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: silver (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: silver (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: silver (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: silver (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: tin (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: tin (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: tin (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: tin (current US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: zinc (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, metals and minerals: zinc (current US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: zinc (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, metals and minerals: zinc (current US$)


IndicatorName: Renewable natural capital per capita, agricultural land: pastureland (current US$)


IndicatorName: Renewable natural capital, agricultural land: pastureland (current US$)


IndicatorName: Nonrenewable natural capital per capita, coal (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, coal (current US$)


IndicatorName: Nonrenewable natural capital, coal (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, coal (current US$)


IndicatorName: Nonrenewable natural capital per capita, natural gas (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, natural gas (current US$)


IndicatorName: Nonrenewable natural capital, natural gas (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, natural gas (current US$)


IndicatorName: Nonrenewable natural capital per capita, oil (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, oil (current US$)


IndicatorName: Nonrenewable natural capital, oil (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, oil (current US$)


IndicatorName: Nonrenewable natural capital per capita, total (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital per capita, total (current US$)


IndicatorName: Nonrenewable natural capital, total (real chained 2019 US$)


IndicatorName: Nonrenewable natural capital, total (current US$)


IndicatorName: Renewable natural capital per capita, total (real chained 2019 US$)

Longdefinition: Renewable natural capital includes assets such as agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recreation, and non-wood forest products), mangroves, marine fish stocks, and hydropower. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist volume index method.


IndicatorName: Renewable natural capital per capita, total (current US$)


IndicatorName: Renewable natural capital, total (real chained 2019 US$)


IndicatorName: Renewable natural capital, total (current US$)


IndicatorName: Foreign assets per capita (real chained 2019 US$)

Longdefinition: Foreign financial assets encompass portfolio equity, FDI, debt instruments, financial derivatives, and foreign exchange reserves (excluding gold). These assets are reported in real chained 2019 US dollars, adjusted for inflation using the consumer price index (CPI).

Topic: Foreign assets


IndicatorName: Foreign assets per capita (current US$)

Longdefinition: Nominal foreign financial assets include portfolio equity, foreign direct investment (FDI), debt assets, financial derivatives, and foreign exchange reserves (excluding gold). The values are reported in current US dollars, obtained directly from the External Wealth of Nations (EWN) database.


IndicatorName: Foreign assets (real chained 2019 US$)


IndicatorName: Foreign assets (current US$)


IndicatorName: Foreign liabilities per capita (real chained 2019 US$)

Longdefinition: Foreign financial liabilities include portfolio equity, FDI, debt liabilities, and financial derivatives. These liabilities are reported in real chained 2019 US dollars, adjusted for inflation using the consumer price index (CPI).

Topic: Foreign liabilities


IndicatorName: Foreign liabilities per capita (current US$)

Longdefinition: Nominal foreign liabilities include portfolio equity liabilities, foreign direct investment (FDI) liabilities, debt liabilities, and financial derivatives liabilities. The values are reported in current US dollars, obtained directly from the External Wealth of Nations (EWN) database.


IndicatorName: Foreign liabilities (real chained 2019 US$)


IndicatorName: Foreign liabilities (current US$)


IndicatorName: Produced capital per capita (real chained 2019 US$)

Longdefinition: Produced capital includes the value of machinery, buildings, equipment, and urban land. The values are reported in real chained 2019 US dollars, calculated using the Törnqvist index method.

Topic: Produced capital


IndicatorName: Produced capital per capita, excluding urban land (current US$)

Longdefinition: Nominal produced capital, without urban land includes the value of machinery, buildings, and equipment. The values are reported in current US dollars, calculated using market exchange rates, with country-specific GDP deflators applied to adjust for inflation.


IndicatorName: Produced capital per capita, including urban land (current US$)

Longdefinition: Nominal produced capital includes the value of machinery, buildings, equipment, and urban land. The values are reported in current US dollars, calculated using market exchange rates, with country-specific GDP deflators applied to adjust for inflation.


IndicatorName: Produced capital (real chained 2019 US$)


IndicatorName: Produced capital, excluding urban land (current US$)


IndicatorName: Produced capital, including urban land (current US$)


IndicatorName: National comprehensive wealth per capita index (real chained 2019 US$)

Longdefinition: The national comprehensive wealth index aggregates produced capital, nonrenewable and renewable natural capital, human capital, and net foreign financial assets, using the Törnqvist volume index. The values are reported in real chained 2019 US dollars and cannot simply be aggregated by summing the sub-wealth categories.


IndicatorName: National comprehensive wealth per capita (current US$)

Longdefinition: The national comprehensive wealth aggregates produced capital, nonrenewable and renewable natural capital, human capital, and net foreign financial assets. The values are reported in current US dollars and can be directly aggregated by summing the sub-wealth categories.


IndicatorName: National comprehensive wealth index (real chained 2019 US$)


IndicatorName: National comprehensive wealth (current US$)


IndicatorName: Economic Fitness Metric

Limitationsandexceptions: The trade data are necessary to define a coherent network for all countries and all products. This may have some limitations for countries in which the exported products are not a good proxy of its industrial competitiveness. Also export refers generally to manufacturing. Services can be included but the corresponding database trade in services are less granular. In principle the approach could use other data like the labor statistics which automatically include all services. A basic concept of the algorithm is the importance of diversification. This is correct at the level of countries but it becomes gradually problematic if one moves to smaller scales like regions, cities up to individual firms where specialization becomes dominant. In these cases suitable modifications should be considered.  The COMTRADE dataset comes at different levels of granularity. Each level has advantages and disadvantages which should be considered in relation to the problem addressed.

Longdefinition: Economic Fitness (EF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis.  Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries.   Countries with low EF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries.  The starting data is the COMTRADE list of products exported by each country. This data defines a bipartite network of countries and products, or goods and services. A suitably designed mathematical algorithm applied to this network leads to the Economic Fitness of all countries and the Complexity of all products. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.

Source: World Bank, Economic Fitness project. For more details, please visit https://www.nature.com/articles/srep00723 and http://documents.worldbank.org/curated/en/632611498503242103/On-the-predictability-of-growth

Statisticalconceptandmethodology: The new literature of Economic Fitness uses techniques which, differently from traditional index construction approaches, do not try to average out the complexity of the system, but embraces it by explicitly building on the heterogeneity of individual actors, activities and interactions to extract relevant parameters to characterize the system.  In this way, information about production capabilities may be extracted from trade in goods.  The interaction among products traded, and the relatively unique combinations are a precursor to future competitiveness and long-term growth.   A basic characteristic of Economic Fitness is being parameter free. The standard methods of analysis consider many elements and sum them up in some suitable way. This sum of incommensurate elements leads to a major problem of controlling noise while increasing signal. The Fitness approach starts by considering a single dataset to control noise problems.  Other data can then be added later in a controlled hierarchical framework 9e.g, services, technologies). The algorithm is designed on simple and transparent economical concepts which have a clear meaning and have been extensively tested. The evolution of each country is defined in the GDP-Fitness space which shows a strong heterogeneity in the dynamics. There is zone characterized by regular flow and another one which is more chaotic. This implies that growth forecasting should consider this heterogeneity and go beyond standard regressions. This novel approach to the analysis and long-term forecasting has been shown to outperform the standard methods even if it requires much less data.

Topic: Economic Policy & Debt


IndicatorName: Economic Fitness Ranking (1 = high, 149 = low)


IndicatorName: Assessment of country’s adherence to the best regulatory practices at the preparation stage of PPP project (scale 1-100)

Longdefinition: This indicator provides an assessment of a country's adherence to the best regulatory practices (scored from 1 to 100 (best practice)) during the period and activities that inform the decision of whether to launch a PPP procurement process. It is determined by assessing whether the identification of a prospective PPP project happens within the broader context of public investments, consistent with other government priorities. It also examines the different types of assessments and the methodologies used to set the rules for these assessments. Furthermore, it considers other activities undertaken before publishing the public tender notice, such as preparing the draft contract and tender documents and obtaining land and permits, that lead to the procurement of the PPP project.

Source: Procuring Infrastructure PPPs 2018 (http://bpp.worldbank.org/)


IndicatorName: Assessment of country’s adherence to the best regulatory practices at the procurement stage of PPP project (scale 1-100)

Longdefinition: This indicator provides an assessment of a country's adherence to the best regulatory practices (scored from 1 to 100 (best practice)) during the selection of a private partner who takes on the responsibility of developing the PPP project. It focuses on fairness, neutrality, and transparency of the process, as well as provisions assuring competition between the potential private partners.


IndicatorName: Assessment of country’s adherence to the best regulatory practices at the management stage of PPP project (scale 1-100)

Longdefinition: The indicator provides assessment of whether the contract management framework is in place to facilitate the implementation of PPP projects, as well as the existing monitoring and evaluation systems. It also examines the regulatory provisions regarding PPP contract modification and renegotiation, dispute resolution, lender step-in rights, and termination of contracts.


IndicatorName: Assessment of country’s adherence to the best regulatory practices, procurement of unsolicited proposals (scale 1-100)

Longdefinition: The indicator provides assessment of whether a specific process is in place to evaluate the feasibility of the unsolicited proposals (USPs). It evaluates USPs' alignment with other government priorities; whether specific compensation mechanisms are in place for USPs; and whether a competitive process is required to select the private partner for the PPP project. Only the countries where USPs are allowed and take place have received scores. No scores have been given to those countries where the regulatory framework specifically prohibits the submission of USPs or where the USPs do not happen in practice.


IndicatorName: Survival Rate from Age 15-60

Longdefinition: Adult survival rate is calculated by subtracting the mortality rate for 15-60 year-olds from 1. Most recent estimates are used.  Year of most recent estimate shown in data notes.

Source: United Nations Population Division, World Population Prospects: 2019 Revision, supplemented with data provided by World Bank Staff.


IndicatorName: Survival Rate from Age 15-60, Female


IndicatorName: Survival Rate from Age 15-60, Male


IndicatorName: Expected Years of School

Longdefinition: Expected years of school is calculated as the sum of age-specific enrollment rates between ages 4 and 17. Age-specific enrollment rates are approximated using school enrollment rates at different levels: pre-primary enrollment rates approximate the age-specific enrolment rates for 4 and 5 year-olds; the primary rate approximates for 6-11 year-olds; the lower-secondary rate approximates for 12-14 year-olds; and the upper-secondary approximates for 15-17 year-olds. Most recent estimates are used.  Year of most recent primary enrollment rate used is shown  in data notes.

Source: World Bank staff estimates based on data from UNESCO Institute for Statistics, supplemented with data provided by World Bank staff.


IndicatorName: Expected Years of School, Female


IndicatorName: Expected Years of School, Male


IndicatorName: Harmonized Test Scores

Longdefinition:
Harmonized test scores from major international student achievement testing programs.They are measured in TIMSS-equivalent units, where 300 is minimal attainment and 625 is advanced attainment. Most recent estimates are used.  Year of most recent estimate shown in data notes.

Test scores from the following testing programs are included:
• TIMSS/PIRLS:  Refers to average of test scores from TIMSS (Trends in International Maths and Science Study) and PIRLS (Progress in International Reading Literacy Study), both carried out by the International Association for the Evaluation of Educational Achievement. Data from each PIRLS round is moved to the year of the nearest TIMSS round and averaged with the TIMSS data.
• PISA:  Refers to test scores from Programme for International Student Assessment
• PISA+TIMSS/PIRLS:  Refers to the average of these programs for countries and years where both are available
• SACMEQ:  Refers to test scores from Southern and Eastern Africa Consortium for Monitoring Educational Quality
• PASEC: Refers to test scores from Program of Analysis of Education Systems
• LLECE:  Refers to test scores from Latin American Laboratory for Assessment of the Quality of Education
• PILNA: Refers to test scores from Pacific Islands Literacy and Numeracy Assessment
• EGRA:  Refers to test scores from nationally-representative Early Grade Reading Assessments
• EGRANR:  Refers to test scores from non-nationally-representative Early Grade Reading Assessments

Source: Patrinos and Angrist (2018).  http://documents.worldbank.org/curated/en/390321538076747773/Global-Dataset-on-Education-Quality-A-Review-and-Update-2000-2017


IndicatorName: Harmonized Test Scores, Female


IndicatorName: Harmonized Test Scores, Male


IndicatorName: Learning-Adjusted Years of School

Longdefinition: Learning-adjusted years of school are calculated by multiplying the estimates of expected years of school by the ratio of most recent harmonized test scores to 625.

Source: World Bank staff calculation based on methodology in Filmer et al. (2018).  http://documents.worldbank.org/curated/en/243261538075151093/Learning-Adjusted-Years-of-Schooling-LAYS-Defining-A-New-Macro-Measure-of-Education


IndicatorName: Learning-Adjusted Years of School, Female


IndicatorName: Learning-Adjusted Years of School, Male


IndicatorName: Probability of Survival to Age 5

Longdefinition: Probability of survival to age 5 is calculated by subtracting the under-5 mortality rate from 1. Most recent estimates are used.  Year of most recent estimate shown in data notes.

Source: United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), supplemented with data provided by World Bank staff.


IndicatorName: Probability of Survival to Age 5, Female

Source: UNESCO Institute for Statistics.


IndicatorName: Probability of Survival to Age 5, Male


IndicatorName: Human Capital Index (HCI) (scale 0-1)

Longdefinition: The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.

Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498.


IndicatorName: Human Capital Index (HCI), Female (scale 0-1)


IndicatorName: Human Capital Index, Lower Bound (scale 0-1)

Longdefinition: The HCI lower bound reflects uncertainty in the measurement of  the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI.  The range between the upper and lower bound is the uncertainty interval.  While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.

Source: World Bank staff calculations based on the methodology described in Kraay (2018).  http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index


IndicatorName: Human Capital Index, Female,Lower Bound (scale 0-1)


IndicatorName: Human Capital Index, Male, Lower Bound (scale 0-1)


IndicatorName: Human Capital Index (HCI), Male (scale 0-1)


IndicatorName: Human Capital Index, Upper Bound (scale 0-1)

Longdefinition: The HCI upper bound reflects uncertainty in the measurement of  the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI.  The range between the upper and lower bound is the uncertainty interval.  While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.


IndicatorName: Human Capital Index, Female, Upper Bound (scale 0-1)


IndicatorName: Human Capital Index, Male, Upper Bound (scale 0-1)


IndicatorName: Fraction of Children Under 5 Not Stunted

Longdefinition: Percentage not stunted is calculated by subtracting stunting rates from 1. Most recent estimates are used.  Year of most recent estimate shown in data notes.

Source: UNICEF-WHO-World Bank Joint Malnutrition Estimates, supplemented with data provided by World Bank staff.


IndicatorName: Fraction of Children Under 5 Not Stunted, Female


IndicatorName: Fraction of Children Under 5 Not Stunted, Male


IndicatorName: Condom use in last intercourse (% of females at risk population)

Longdefinition: Percentage of women age 18-49 who had more than one sexual partner in the last 12 months and used a condom during last intercourse

Source: Health Equity and Financial Protection Indicators (HEFPI) database, World Bank


IndicatorName: Condom use in last intercourse (% of females at risk population): Q1 (lowest)


IndicatorName: Condom use in last intercourse (% of females at risk population): Q2


IndicatorName: Condom use in last intercourse (% of females at risk population): Q3


IndicatorName: Condom use in last intercourse (% of females at risk population): Q4


IndicatorName: Condom use in last intercourse (% of females at risk population): Q5 (highest)


IndicatorName: Prevalence of HIV, total (% of population ages 15-49)

Longdefinition: Percentage of population age 15-49 who had blood tests that are positive for HIV1 or HIV2


IndicatorName: Prevalence of HIV, total (% of population ages 15-49): Q1 (lowest)


IndicatorName: Prevalence of HIV, total (% of population ages 15-49): Q2


IndicatorName: Prevalence of HIV, total (% of population ages 15-49): Q3


IndicatorName: Prevalence of HIV, total (% of population ages 15-49): Q4


IndicatorName: Prevalence of HIV, total (% of population ages 15-49): Q5 (highest)


IndicatorName: Contraceptive prevalence, modern methods (% of females ages 15-49)

Longdefinition: Percentage of women age 15-49 who are married or live in union and currently use a modern method of contraception. Modern methods are defined as female sterilization, male sterilization, the contraceptive pill, intrauterine contraceptive device (IUD), injectables, implants, female condom, male condom, diaphragm, contraceptive foam and contraceptive jelly, lactational amenorrhea method (LAM), emergency contraception, country-specific modern methods and other modern contraceptive methods respondent mentioned.


IndicatorName: Contraceptive prevalence, modern methods (% of females ages 15-49): Q1 (lowest)


IndicatorName: Contraceptive prevalence, modern methods (% of females ages 15-49): Q2


IndicatorName: Contraceptive prevalence, modern methods (% of females ages 15-49): Q3


IndicatorName: Contraceptive prevalence, modern methods (% of females ages 15-49): Q4


IndicatorName: Contraceptive prevalence, modern methods (% of females ages 15-49): Q5 (highest)


IndicatorName: Mortality rate, infant (per 1,000 live births)

Longdefinition: Deaths of children before their 1st birthday per 1,000 live births. Sample: children born up to 5 years before the survey for full population mortality estimates, and up to 10 years before the survey for wealth quintile specific mortality estimates


IndicatorName: Mortality rate, infant (per 1,000 live births): Q1 (lowest)


IndicatorName: Mortality rate, infant (per 1,000 live births): Q2


IndicatorName: Mortality rate, infant (per 1,000 live births): Q3


IndicatorName: Mortality rate, infant (per 1,000 live births): Q4


IndicatorName: Mortality rate, infant (per 1,000 live births): Q5 (highest)


IndicatorName: Mortality rate, under-5 (per 1,000)

Longdefinition: Deaths of children before their 5th birthday per 1,000 live births. Sample: children born up to 5 years before the survey for full population mortality estimates, and up to 10 years before the survey for wealth quintile specific mortality estimates


IndicatorName: Mortality rate, under-5 (per 1,000): Q1 (lowest)


IndicatorName: Mortality rate, under-5 (per 1,000): Q2


IndicatorName: Mortality rate, under-5 (per 1,000): Q3


IndicatorName: Mortality rate, under-5 (per 1,000): Q4


IndicatorName: Mortality rate, under-5 (per 1,000): Q5 (highest)


IndicatorName: Pap smear in last 3 years (% of females 20-69)

Longdefinition: Percentage of women who received a pap smear in the last 3 years (preferably age 20-69 but age groups may vary)


IndicatorName: Pap smear in last 3 years (% of females 20-69): Q1 (lowest)


IndicatorName: Pap smear in last 3 years (% of females 20-69): Q2


IndicatorName: Pap smear in last 3 years (% of females 20-69): Q3


IndicatorName: Pap smear in last 3 years (% of females 20-69): Q4


IndicatorName: Pap smear in last 3 years (% of females 20-69): Q5 (highest)


IndicatorName: Immunization, full (% of children ages 15-23 months)

Longdefinition: Percentage of children age 15-23 months who received Bacillus Calmette-Guerin (BCG), measles/Measles-Mumps-Rubella (MMR), 3 doses of polio (excluding polio given at birth) and 3 doses of diphtheria-pertussis-tetanus (DPT)/Pentavalent vaccinations, either verified by vaccination card or by recall of respondent


IndicatorName: Immunization, full (% of children ages 15-23 months): Q1 (lowest)


IndicatorName: Immunization, full (% of children ages 15-23 months): Q2


IndicatorName: Immunization, full (% of children ages 15-23 months): Q3


IndicatorName: Immunization, full (% of children ages 15-23 months): Q4


IndicatorName: Immunization, full (% of children ages 15-23 months): Q5 (highest)


IndicatorName: Immunization, measles (% of children ages 15-23 months)

Longdefinition: Percentage of children age 15-23 months who received measles or MMR vaccination, either verified by vaccination card or by recall of respondent


IndicatorName: Immunization, measles (% of children ages 15-23 months): Q1 (lowest)


IndicatorName: Immunization, measles (% of children ages 15-23 months): Q2


IndicatorName: Immunization, measles (% of children ages 15-23 months): Q3


IndicatorName: Immunization, measles (% of children ages 15-23 months): Q4


IndicatorName: Immunization, measles (% of children ages 15-23 months): Q5 (highest)


IndicatorName: Use of insecticide-treated bed nets (% of under-5 population)

Longdefinition: Percentage of children under 5 who slept under an insecticide treated bed net (ITN) the night before the survey. A bed net is considered treated if it a) is a long-lasting treated net, b) a pre-treated net that was purchased or soaked in insecticides less than 12 months ago, or c) a non-pre-treated net which was soaked in insecticides less than 12 months ago


IndicatorName: Use of insecticide-treated bed nets (% of under-5 population): Q1 (lowest)


IndicatorName: Use of insecticide-treated bed nets (% of under-5 population): Q2


IndicatorName: Use of insecticide-treated bed nets (% of under-5 population): Q3


IndicatorName: Use of insecticide-treated bed nets (% of under-5 population): Q4


IndicatorName: Use of insecticide-treated bed nets (% of under-5 population): Q5 (highest)


IndicatorName: Pregnant women receiving prenatal care of at least four visits (% of pregnant women)

Longdefinition: Percentage of most recent births in last two years with at least 4 antenatal care visits (women age 15-49 at the time of the survey)


IndicatorName: Pregnant women receiving prenatal care of at least four visits (% of pregnant women): Q1 (lowest)


IndicatorName: Pregnant women receiving prenatal care of at least four visits (% of pregnant women): Q2


IndicatorName: Pregnant women receiving prenatal care of at least four visits (% of pregnant women): Q3


IndicatorName: Pregnant women receiving prenatal care of at least four visits (% of pregnant women): Q4


IndicatorName: Pregnant women receiving prenatal care of at least four visits (% of pregnant women): Q5 (highest)


IndicatorName: Acute respiratory infections treated (% of children under 5 with cough and rapid breathing)

Longdefinition: Percentage of children under 5 with cough and rapid breathing in the two weeks preceding the survey (DHS, WHS) who had a consultation with a formal healthcare provider (excluding pharmacies and visits to â€œotherâ€ healthcare providers). MICS data points use sample of children under 5 with cough and rapid breathing in the 2 weeks preceding the survey which originated from the chest. The definition of formal healthcare providers varies by country and data source.


IndicatorName: Acute respiratory infections treated (% of children under 5 with cough and rapid breathing): Q1 (lowest)


IndicatorName: Acute respiratory infections treated (% of children under 5 with cough and rapid breathing): Q2


IndicatorName: Acute respiratory infections treated (% of children under 5 with cough and rapid breathing): Q3


IndicatorName: Acute respiratory infections treated (% of children under 5 with cough and rapid breathing): Q4


IndicatorName: Acute respiratory infections treated (% of children under 5 with cough and rapid breathing): Q5 (highest)


IndicatorName: Blood sugar measured in last 5 years (% of population at risk of diabetes)

Longdefinition: Percentage of population aged 40-69 at increased risk of diabetes (overweight, obese) having their blood sugar measured in the last 5 years


IndicatorName: Blood sugar measured in last 5 years (% of population at risk of diabetes): Q1 (lowest)


IndicatorName: Blood sugar measured in last 5 years (% of population at risk of diabetes): Q2


IndicatorName: Blood sugar measured in last 5 years (% of population at risk of diabetes): Q3


IndicatorName: Blood sugar measured in last 5 years (% of population at risk of diabetes): Q4


IndicatorName: Blood sugar measured in last 5 years (% of population at risk of diabetes): Q5 (highest)


IndicatorName: Mean BMI, female (ages 15-49)

Longdefinition: Mean BMI of female population aged 15-49 (excludes currently pregnant women and women having given birth in the three months preceding the survey)


IndicatorName: Mean BMI, female (ages 15-49): Q1 (lowest)


IndicatorName: Mean BMI, female (ages 15-49): Q2


IndicatorName: Mean BMI, female (ages 15-49): Q3


IndicatorName: Mean BMI, female (ages 15-49): Q4


IndicatorName: Mean BMI, female (ages 15-49): Q5 (highest)


IndicatorName: Mean BMI, adults (age 18+)

Longdefinition: Mean BMI of population aged 18 or older


IndicatorName: Mean BMI, female (age 18+)

Longdefinition: Mean BMI of female population aged 18 or older


IndicatorName: Mean BMI, female (age 18+): Q1 (lowest)


IndicatorName: Mean BMI, female (age 18+): Q2


IndicatorName: Mean BMI, female (age 18+): Q3


IndicatorName: Mean BMI, female (age 18+): Q4


IndicatorName: Mean BMI, female (age 18+): Q5 (highest)


IndicatorName: Mean BMI, adults (age 18+): Q1 (lowest)


IndicatorName: Mean BMI, adults (age 18+): Q2


IndicatorName: Mean BMI, adults (age 18+): Q3


IndicatorName: Mean BMI, adults (age 18+): Q4


IndicatorName: Mean BMI, adults (age 18+): Q5 (highest)


IndicatorName: Mean BMI, male (age 18+)

Longdefinition: Mean BMI of male population aged 18 or older


IndicatorName: Mean BMI, male (age 18+): Q1 (lowest)


IndicatorName: Mean BMI, male (age 18+): Q2


IndicatorName: Mean BMI, male (age 18+): Q3


IndicatorName: Mean BMI, male (age 18+): Q4


IndicatorName: Mean BMI, male (age 18+): Q5 (highest)


IndicatorName: Blood pressure measured in last 12 months (% of population age 18+)

Longdefinition: Percentage of population over 18 having their blood pressure measured by health professional in the last year


IndicatorName: Blood pressure measured in last 12 months (% of population age 18+): Q1 (lowest)


IndicatorName: Blood pressure measured in last 12 months (% of population age 18+): Q2


IndicatorName: Blood pressure measured in last 12 months (% of population age 18+): Q3


IndicatorName: Blood pressure measured in last 12 months (% of population age 18+): Q4


IndicatorName: Blood pressure measured in last 12 months (% of population age 18+): Q5 (highest)


IndicatorName: Mean diastolic blood pressure, adult population (mmHg)

Longdefinition: Mean diastolic blood pressure (mmHg) in adult population (age-range may vary)


IndicatorName: Mean diastolic blood pressure, adult population (mmHg): Q1 (lowest)


IndicatorName: Mean diastolic blood pressure, adult population (mmHg): Q2


IndicatorName: Mean diastolic blood pressure, adult population (mmHg): Q3


IndicatorName: Mean diastolic blood pressure, adult population (mmHg): Q4


IndicatorName: Mean diastolic blood pressure, adult population (mmHg): Q5 (highest)


IndicatorName: High blood pressure or being treated for high blood pressure (% of adult population)

Longdefinition: Percentage of adult population with high blood pressure or on treatment for high blood pressure (age-range may vary)


IndicatorName: High blood pressure or being treated for high blood pressure (% of adult population): Q1 (lowest)


IndicatorName: High blood pressure or being treated for high blood pressure (% of adult population): Q2


IndicatorName: High blood pressure or being treated for high blood pressure (% of adult population): Q3


IndicatorName: High blood pressure or being treated for high blood pressure (% of adult population): Q4


IndicatorName: High blood pressure or being treated for high blood pressure (% of adult population): Q5 (highest)


IndicatorName: Mean systolic blood pressure, adult population (mmHg)

Longdefinition: Mean systolic blood pressure (mmHg) in adult population (age-range may vary)


IndicatorName: Mean systolic blood pressure, adult population (mmHg): Q1 (lowest)


IndicatorName: Mean systolic blood pressure, adult population (mmHg): Q2


IndicatorName: Mean systolic blood pressure, adult population (mmHg): Q3


IndicatorName: Mean systolic blood pressure, adult population (mmHg): Q4


IndicatorName: Mean systolic blood pressure, adult population (mmHg): Q5 (highest)


IndicatorName: Treated for high blood pressure (% of adult population)

Longdefinition: Percentage of adult population being treated for high blood pressure (age-range may vary)


IndicatorName: Treated for high blood pressure (% of adult population): Q1 (lowest)


IndicatorName: Treated for high blood pressure (% of adult population): Q2


IndicatorName: Treated for high blood pressure (% of adult population): Q3


IndicatorName: Treated for high blood pressure (% of adult population): Q4


IndicatorName: Treated for high blood pressure (% of adult population): Q5 (highest)


IndicatorName: Births attended by skilled health staff (% of total)

Longdefinition: Percentage of most recent births in last 2 years attended by any skilled health personnel (women age 15-49 at the time of the survey). Definition of skilled varies by country and survey but always includes doctor, nurse, midwife and auxiliary midwife).


IndicatorName: Births attended by skilled health staff (% of total): Q1 (lowest)


IndicatorName: Births attended by skilled health staff (% of total): Q2


IndicatorName: Births attended by skilled health staff (% of total): Q3


IndicatorName: Births attended by skilled health staff (% of total): Q4


IndicatorName: Births attended by skilled health staff (% of total): Q5 (highest)


IndicatorName: Mean cholesterol, adult population (mmol/L)

Longdefinition: Mean cholesterol (mmol/L) in adult population (age-range may vary)


IndicatorName: High cholesterol or on treatment for high cholesterol (% of adult population)

Longdefinition: Percentage of adult population with high cholesterol or on treatment for high cholesterol (age-range may vary)


IndicatorName: Cholesterol measured in last five years (% of population at risk of high cholesterol)

Longdefinition: Percentage of adult population at risk (overweight or obese and older than 20, male and older than 34) having their cholesterol levels measured in the last 5 years


IndicatorName: Cholesterol measured in last five years (% of population at risk of high cholesterol): Q1 (lowest)


IndicatorName: Cholesterol measured in last five years (% of population at risk of high cholesterol): Q2


IndicatorName: Cholesterol measured in last five years (% of population at risk of high cholesterol): Q3


IndicatorName: Cholesterol measured in last five years (% of population at risk of high cholesterol): Q4


IndicatorName: Cholesterol measured in last five years (% of population at risk of high cholesterol): Q5 (highest)


IndicatorName: Treated for raised blood glucose or diabetes (% of adult population)

Longdefinition: Percentage of adult population being treated for raised blood glucose or diabetes (age-range may vary)


IndicatorName: Treated for raised blood glucose or diabetes (% of adult population): Q1 (lowest)


IndicatorName: Treated for raised blood glucose or diabetes (% of adult population): Q2


IndicatorName: Treated for raised blood glucose or diabetes (% of adult population): Q3


IndicatorName: Treated for raised blood glucose or diabetes (% of adult population): Q4


IndicatorName: Treated for raised blood glucose or diabetes (% of adult population): Q5 (highest)


IndicatorName: Mean fasting blood glucose, adult population (mmol/L)

Longdefinition: Mean fasting blood glucose (mmol/L) in adult population (age-range may vary)


IndicatorName: Impaired fasting glycaemia (% of adult population)

Longdefinition: Percentage of adult population with impaired fasting glycaemia (age-range may vary)


IndicatorName: Mean height in meters, female, (age 15-49)

Longdefinition: Mean height in meters of females aged 15-49


IndicatorName: Mean height in meters, female, (age 15-49): Q1 (lowest)


IndicatorName: Mean height in meters, female, (age 15-49): Q2


IndicatorName: Mean height in meters, female, (age 15-49): Q3


IndicatorName: Mean height in meters, female, (age 15-49): Q4


IndicatorName: Mean height in meters, female, (age 15-49): Q5 (highest)


IndicatorName: Mean height in meters, adults (age 18+)

Longdefinition: Mean height in meters of population aged 18 and older


IndicatorName: Mean height in meters, female (age 18+)

Longdefinition: Mean height in meters of females aged 18 and older


IndicatorName: Mean height in meters, female (age 18+): Q1 (lowest)


IndicatorName: Mean height in meters, female (age 18+): Q2


IndicatorName: Mean height in meters, female (age 18+): Q3


IndicatorName: Mean height in meters, female (age 18+): Q4


IndicatorName: Mean height in meters, female (age 18+): Q5 (highest)


IndicatorName: Mean height in meters, male (age 18+)

Longdefinition: Mean height in meters of males aged 18 and older


IndicatorName: Mean height in meters, male (age 18+): Q1 (lowest)


IndicatorName: Mean height in meters, male (age 18+): Q2


IndicatorName: Mean height in meters, male (age 18+): Q3


IndicatorName: Mean height in meters, male (age 18+): Q4


IndicatorName: Mean height in meters, male (age 18+): Q5 (highest)


IndicatorName: Mean height in meters, adults (age 18+): Q1 (lowest)


IndicatorName: Mean height in meters, adults (age 18+): Q2


IndicatorName: Mean height in meters, adults (age 18+): Q3


IndicatorName: Mean height in meters, adults (age 18+): Q4


IndicatorName: Mean height in meters, adults (age 18+): Q5 (highest)


IndicatorName: Inpatient care use in last 12 months (% of population 18+)

Longdefinition: Percentage of population age 18 and older using inpatient care in the last 12 months


IndicatorName: Inpatient care use in last 12 months (% of population 18+): Q1 (lowest)


IndicatorName: Inpatient care use in last 12 months (% of population 18+): Q2


IndicatorName: Inpatient care use in last 12 months (% of population 18+): Q3


IndicatorName: Inpatient care use in last 12 months (% of population 18+): Q4


IndicatorName: Inpatient care use in last 12 months (% of population 18+): Q5 (highest)


IndicatorName: Prevalence of underweight, weight for age (% of children under 5)

Longdefinition: Percentage of children under 5 with a Weight-for-Age z-score <-2 standard deviations from the reference median (z-score calculated using WHO 2006 Child Growth Standards)


IndicatorName: Prevalence of underweight, weight for age (% of children under 5): Q1 (lowest)


IndicatorName: Prevalence of underweight, weight for age (% of children under 5): Q2


IndicatorName: Prevalence of underweight, weight for age (% of children under 5): Q3


IndicatorName: Prevalence of underweight, weight for age (% of children under 5): Q4


IndicatorName: Prevalence of underweight, weight for age (% of children under 5): Q5 (highest)


IndicatorName: Mammography in last 2 years, (% of females 50-69)

Longdefinition: Percentage of women who received a mammogram in the last 2 years (preferably age 50-69 but age groups may vary)


IndicatorName: Mammography in last 2 years, (% of females 50-69): Q1 (lowest)


IndicatorName: Mammography in last 2 years, (% of females 50-69): Q2


IndicatorName: Mammography in last 2 years, (% of females 50-69): Q3


IndicatorName: Mammography in last 2 years, (% of females 50-69): Q4


IndicatorName: Mammography in last 2 years, (% of females 50-69): Q5 (highest)


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 15-49)

Longdefinition: Percentage of females aged 15-49 with BMI above 30 (excludes currently pregnant women and women having given birth in the three months preceding the survey)


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 15-49): Q1 (lowest)


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 15-49): Q2


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 15-49): Q3


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 15-49): Q4


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 15-49): Q5 (highest)


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 18+)

Longdefinition: Percentage of females aged 18 and older with BMI above 30


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 18+): Q1 (lowest)


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 18+): Q2


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 18+): Q3


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 18+): Q4


IndicatorName: Prevalence of obesity, female, BMI > 30 (% of population 18+): Q5 (highest)


IndicatorName: Prevalence of obesity, male, BMI > 30 (% of population 18+)

Longdefinition: Percentage of males aged 18 and older with BMI above 30


IndicatorName: Prevalence of obesity, male, BMI > 30 (% of population 18+): Q1 (lowest)


IndicatorName: Prevalence of obesity, male, BMI > 30 (% of population 18+): Q2


IndicatorName: Prevalence of obesity, male, BMI > 30 (% of population 18+): Q3


IndicatorName: Prevalence of obesity, male, BMI > 30 (% of population 18+): Q4


IndicatorName: Prevalence of obesity, male, BMI > 30 (% of population 18+): Q5 (highest)


IndicatorName: Prevalence of obesity, BMI > 30 (% of population 18+)

Longdefinition: Percentage of population aged 18 or older with BMI above 30


IndicatorName: Prevalence of obesity, BMI > 30 (% of population 18+): Q1 (lowest)


IndicatorName: Prevalence of obesity, BMI > 30 (% of population 18+): Q2


IndicatorName: Prevalence of obesity, BMI > 30 (% of population 18+): Q3


IndicatorName: Prevalence of obesity, BMI > 30 (% of population 18+): Q4


IndicatorName: Prevalence of obesity, BMI > 30 (% of population 18+): Q5 (highest)


IndicatorName: Diarrhea treatment (% of children under 5 who received ORS)

Longdefinition: Percentage of children under 5 with diarrhea in the 2 weeks before the survey who were given oral rehydration salts (ORS)


IndicatorName: Diarrhea treatment (% of children under 5 who received ORS): Q1 (lowest)


IndicatorName: Diarrhea treatment (% of children under 5 who received ORS): Q2


IndicatorName: Diarrhea treatment (% of children under 5 who received ORS): Q3


IndicatorName: Diarrhea treatment (% of children under 5 who received ORS): Q4


IndicatorName: Diarrhea treatment (% of children under 5 who received ORS): Q5 (highest)


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population ages 15-49)

Longdefinition: Percentage of female population aged 15-49 with BMI above 25 (excludes currently pregnant women and women having given birth in the three months preceding the survey)


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population ages 15-49): Q1 (lowest)


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population ages 15-49): Q2


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population ages 15-49): Q3


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population ages 15-49): Q4


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population ages 15-49): Q5 (highest)


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population 18+)

Longdefinition: Percentage of female population aged 18 or older with BMI above 25


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population 18+): Q1 (lowest)


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population 18+): Q2


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population 18+): Q3


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population 18+): Q4


IndicatorName: Prevalence of overweight, female, BMI > 25 (% of population 18+): Q5 (highest)


IndicatorName: Prevalence of overweight, male, BMI > 25 (% of population 18+)

Longdefinition: Percentage of male population aged 18 or older with BMI above 25


IndicatorName: Prevalence of overweight, male, BMI > 25 (% of population 18+): Q1 (lowest)


IndicatorName: Prevalence of overweight, male, BMI > 25 (% of population 18+): Q2


IndicatorName: Prevalence of overweight, male, BMI > 25 (% of population 18+): Q3


IndicatorName: Prevalence of overweight, male, BMI > 25 (% of population 18+): Q4


IndicatorName: Prevalence of overweight, male, BMI > 25 (% of population 18+): Q5 (highest)


IndicatorName: Prevalence of overweight, BMI > 25 (% of population 18+)

Longdefinition: Percentage of population aged 18 or older with BMI above 25


IndicatorName: Prevalence of overweight, BMI > 25 (% of population 18+): Q1 (lowest)


IndicatorName: Prevalence of overweight, BMI > 25 (% of population 18+): Q2


IndicatorName: Prevalence of overweight, BMI > 25 (% of population 18+): Q3


IndicatorName: Prevalence of overweight, BMI > 25 (% of population 18+): Q4


IndicatorName: Prevalence of overweight, BMI > 25 (% of population 18+): Q5 (highest)


IndicatorName: Prevalence of stunting, height for age (% of children under 5)

Longdefinition: Percentage of children under 5 with a Height-for-Age z-score <-2 standard deviations from the reference median (z-score calculated using WHO 2006 Child Growth Standards)


IndicatorName: Prevalence of stunting, height for age (% of children under 5): Q1 (lowest)


IndicatorName: Prevalence of stunting, height for age (% of children under 5): Q2


IndicatorName: Prevalence of stunting, height for age (% of children under 5): Q3


IndicatorName: Prevalence of stunting, height for age (% of children under 5): Q4


IndicatorName: Prevalence of stunting, height for age (% of children under 5): Q5 (highest)


IndicatorName: Proportion of population pushed below the 60% median consumption poverty line by out-of-pocket health care expenditure (%)

Longdefinition: Percentage of population pushed below 60% of median consumption by out-of-pocket health spending


IndicatorName: Proportion of population pushed below the 60% median consumption poverty line by out-of-pocket health care expenditure (%): Q1 (lowest)


IndicatorName: Proportion of population pushed below the 60% median consumption poverty line by out-of-pocket health care expenditure (%): Q2


IndicatorName: Proportion of population pushed below the 60% median consumption poverty line by out-of-pocket health care expenditure (%): Q3


IndicatorName: Proportion of population pushed below the 60% median consumption poverty line by out-of-pocket health care expenditure (%): Q4


IndicatorName: Proportion of population pushed below the 60% median consumption poverty line by out-of-pocket health care expenditure (%): Q5 (highest)


IndicatorName: Change in poverty gap due to out-of-pocket health spending ($ 2011 PPP), $1.90 poverty line

Longdefinition: Change (in international $) in poverty gap due to out-of-pocket health spending using $1.90 poverty line, defined as 1.9 times the difference between the per capita poverty gap for consumption (or income) net of out-of-pocket expenditures and the per capita poverty gap for consumption (or income) gross of out-of-pocket expenditures


IndicatorName: Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)

Longdefinition: Percentage of population pushed below 1.90 international $ per day consumption poverty line by out-of-pocket health spending


IndicatorName: Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q1 (lowest)


IndicatorName: Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q2


IndicatorName: Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q3


IndicatorName: Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q4


IndicatorName: Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q5 (highest)


IndicatorName: Change in poverty gap due to out-of-pocket health spending ($ 2011 PPP), $3.20 poverty line

Longdefinition: Change (in international $) in poverty gap due to out-of-pocket health spending using $3.20 poverty line, defined as 3.2 times the difference between the per capita poverty gap for consumption (or income) net of out-of-pocket expenditures and the per capita poverty gap for consumption (or income) gross of out-of-pocket expenditures


IndicatorName: Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)

Longdefinition: Percentage of population pushed below 3.20 international $ per day consumption poverty line by out-of-pocket health spending


IndicatorName: Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q1 (lowest)


IndicatorName: Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q2


IndicatorName: Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q3


IndicatorName: Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q4


IndicatorName: Proportion of population pushed below the $3.20 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q5 (highest)


IndicatorName: Change in poverty gap due to out-of-pocket health spending ($ 2011 PPP), $5.50 poverty line

Longdefinition: Change (in international $) in poverty gap due to out-of-pocket health spending using $5.50 poverty line, defined as 5.5 times the difference between the per capita poverty gap for consumption (or income) net of out-of-pocket expenditures and the per capita poverty gap for consumption (or income) gross of out-of-pocket expenditures


IndicatorName: Proportion of population pushed below the $5.50 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)

Longdefinition: Percentage of population pushed below 5.50 international $ per day consumption poverty line by out-of-pocket health spending


IndicatorName: Proportion of population pushed below the $5.50 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q1 (lowest)


IndicatorName: Proportion of population pushed below the $5.50 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q2


IndicatorName: Proportion of population pushed below the $5.50 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q3


IndicatorName: Proportion of population pushed below the $5.50 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q4


IndicatorName: Proportion of population pushed below the $5.50 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q5 (highest)


IndicatorName: Change in poverty gap due to out-of-pocket health spending ($ 2011 PPP), $21.70 poverty line

Longdefinition: Change (in international $) in poverty gap due to out-of-pocket health spending using $21.70 poverty line, defined as 21.7 times the difference between the per capita poverty gap for consumption (or income) net of out-of-pocket expenditures and the per capita poverty gap for consumption (or income) gross of out-of-pocket expenditures


IndicatorName: Proportion of population pushed below the $21.70 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%)

Longdefinition: Percentage of population pushed below 21.70 international $ per day consumption poverty line by out-of-pocket health spending


IndicatorName: Proportion of population pushed below the $21.70 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q1 (lowest)


IndicatorName: Proportion of population pushed below the $21.70 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q2


IndicatorName: Proportion of population pushed below the $21.70 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q3


IndicatorName: Proportion of population pushed below the $21.70 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q4


IndicatorName: Proportion of population pushed below the $21.70 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure (%): Q5 (highest)


IndicatorName: Proportion of population pushed by out-of-pocket health care expenditure below the societal poverty line, defined as the higher of the $1.90 ($ 2011 PPP) poverty line and a 50% of median consumption poverty line (%)

Longdefinition: Percentage of population pushed by out-of-pocket health care expenditure below the societal poverty line, defined as the higher of the $1.90 ($ 2011 PPP) poverty line and a 50% of median consumption poverty line


IndicatorName: Proportion of population pushed by out-of-pocket health care expenditure below the societal poverty line, defined as the higher of the $1.90 ($ 2011 PPP) poverty line and a 50% of median consumption poverty line (%)               : Q1 (lowest)


IndicatorName: Proportion of population pushed by out-of-pocket health care expenditure below the societal poverty line, defined as the higher of the $1.90 ($ 2011 PPP) poverty line and a 50% of median consumption poverty line (%)               : Q2


IndicatorName: Proportion of population pushed by out-of-pocket health care expenditure below the societal poverty line, defined as the higher of the $1.90 ($ 2011 PPP) poverty line and a 50% of median consumption poverty line (%)               : Q3


IndicatorName: Proportion of population pushed by out-of-pocket health care expenditure below the societal poverty line, defined as the higher of the $1.90 ($ 2011 PPP) poverty line and a 50% of median consumption poverty line (%)               : Q4


IndicatorName: Proportion of population pushed by out-of-pocket health care expenditure below the societal poverty line, defined as the higher of the $1.90 ($ 2011 PPP) poverty line and a 50% of median consumption poverty line (%)               : Q5 (highest)


IndicatorName: Mean household per capita out-of-pocket health spending ($ 2011 PPP)


IndicatorName: Mean share of household consumption or income used on out-of-pocket health spending (%)


IndicatorName: Mean share of household consumption or income used on out-of-pocket health spending (%): Q1 (lowest)


IndicatorName: Mean share of household consumption or income used on out-of-pocket health spending (%): Q2


IndicatorName: Mean share of household consumption or income used on out-of-pocket health spending (%): Q3


IndicatorName: Mean share of household consumption or income used on out-of-pocket health spending (%): Q4


IndicatorName: Mean share of household consumption or income used on out-of-pocket health spending (%): Q5 (highest)


IndicatorName: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%)

Longdefinition: Percentage of population with out-of-pocket health spending larger than 10% of total household expenditure


IndicatorName: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%): Q1 (lowest)


IndicatorName: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%): Q2


IndicatorName: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%): Q3


IndicatorName: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%): Q4


IndicatorName: Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure (%): Q5 (highest)


IndicatorName: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%)

Longdefinition: Percentage of population with out-of-pocket health spending larger than 25% of total household expenditure


IndicatorName: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%): Q1 (lowest)


IndicatorName: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%): Q2


IndicatorName: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%): Q3


IndicatorName: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%): Q4


IndicatorName: Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure (%): Q5 (highest)


IndicatorName: Unmet need for contraception (% of females ages 15-49)

Longdefinition: Percentage of women age 15-49 who are married or live in union who do not want to become pregnant but are not using contraception (revised definition by Bradley et al. 2012)


IndicatorName: Unmet need for contraception (% of females ages 15-49): Q1 (lowest)


IndicatorName: Unmet need for contraception (% of females ages 15-49): Q2


IndicatorName: Unmet need for contraception (% of females ages 15-49): Q3


IndicatorName: Unmet need for contraception (% of females ages 15-49): Q4


IndicatorName: Unmet need for contraception (% of females ages 15-49): Q5 (highest)


IndicatorName: Efficiency of the clearance process, rank (1=highest performer)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Efficiency of the clearance process" includes results from the survey question "Rate the efficiency of the clearance process (i.e. speed, simplicity and predictability of formalities) by border control agencies in country [x]." Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.

Source: World Bank Logistics Performance Index Surveys. Data and methodology are available at: http://www.worldbank.org/lpi


IndicatorName: Efficiency of the clearance process, score (1=low to 5=high)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Efficiency of the clearance process" includes results from the survey question "Rate the efficiency of the clearance process (i.e. speed, simplicity and predictability of formalities) by border control agencies in country [x]." Scores range from 1 to 5, with a higher score representing better performance. Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Quality of trade- and transport-related infrastructure, rank (1=highest performer)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Quality of trade- and transport-related infrastructure" includes results from the survey question "Evaluate the quality of trade- and transport related infrastructure (e.g. ports, railroads, roads, information technology) in country [x]." Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Quality of trade- and transport-related infrastructure, score (1=low to 5=high)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Quality of trade- and transport-related infrastructure" includes results from the survey question "Evaluate the quality of trade- and transport related infrastructure (e.g. ports, railroads, roads, information technology) in country [x]." Scores range from 1 to 5, with a higher score representing better performance. Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Ease of arranging competitively priced international shipments, rank (1=highest performer)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Ease of arranging competitively priced international shipments" includes results from the survey question "Assess the ease of arranging competitively priced shipments to country [x]." Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Ease of arranging competitively priced international shipments, score (1=low to 5=high)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Ease of arranging competitively priced international shipments" includes results from the survey question "Assess the ease of arranging competitively priced shipments to country [x]." Scores range from 1 to 5, with a higher score representing better performance. Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Competence and quality of logistics services, rank (1=highest performer)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Competence and quality of logistics services" includes results from the survey question "Evaluate the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers) in country [x]." Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Competence and quality of logistics services, score (1=low to 5=high)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on six components. The component "Competence and quality of logistics services" includes results from the survey question "Evaluate the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers) in country [x]." Scores range from 1 to 5, with a higher score representing better performance. Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Logistics performance index: Overall rank (1=highest performance)

Longdefinition: The Logistics Performance Index overall rank reflects perceptions of a country's logistics performance based on the efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced international shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The ranks range from 1 to 160 (in the 2018, 2016, and 2014 edition; 155 in 2012 and 2010, and 150 in 2007), with a lower rank representing better performance. Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.


IndicatorName: Logistics performance index: Overall rank (1=highest performance), lower bound

Longdefinition: The Logistics Performance Index overall rank reflects perceptions of a country's logistics performance based on the efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced international shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The ranks range from 1 to 160 (in the 2018, 2016, and 2014 edition; 155 in 2012 and 2010, and 150 in 2007), with a lower rank representing better performance. Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. To account for the sampling error created by the LPI’s survey-based dataset, LPI ranks are presented with approximate 80 percent confidence intervals (see appendix 5 of the LPI report available at lpi.worldbank.org). These intervals yield upper and lower bounds for a country’s LPI rank. Upper bounds for LPI ranks are calculated by increasing a country’s LPI score to its upper bound while maintaining all other country scores constant and then recalculating LPI ranks. An analogous procedure is adopted for lower bounds.


IndicatorName: Logistics performance index: Overall rank (1=highest performance), upper bound


IndicatorName: Logistics performance index: Percent of highest performer)

Longdefinition: The Logistics Performance Index reflects perceptions of a country's logistics performance based on the efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced international shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Percent of highest performer refers to the percentage of the score of a country in comparison to the score of the highest performing country that year. Data are from the Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2018 round of surveys covered close to 6,000 country assessments by around 1,000 international freight forwarders. Respondents evaluate eight economies on six core dimensions on a scale from 1 (worst) to 5 (best). The economies are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are available in Arvis, Ojala, Wiederer, Shepherd, Raj, Dairabayeva, Kiiski: "Connecting to Compete 2018: The Logistics Performance Index and Its Indicators", see Appendix 5 for methodology.