Poverty headcount ratio at national poverty lines (% of population) in Belarus was reported at 3.9 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Belarus - Poverty headcount ratio at national poverty line (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The poverty headcount ratio at national poverty lines in Belarus declined to 3.9 percent in 2022. As a result, the poverty headcount ratio in Belarus saw its lowest number in 2022 with 3.9 percent. These figures refer to the share of the population living below the poverty line, based on parameters set by relevant authorities.Find more key insights for the poverty headcount ratio at national poverty lines in countries like Ukraine and Moldova.

Belarus BY: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data was reported at 8.700 % in 2015. This records an increase from the previous number of 7.900 % for 2014. Belarus BY: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data is updated yearly, averaging 9.700 % from Dec 2000 (Median) to 2015, with 11 observations. The data reached an all-time high of 50.800 % in 2000 and a record low of 7.900 % in 2014. Belarus BY: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. Rural poverty headcount ratio is the percentage of the rural population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

Historical dataset showing Belarus poverty rate by year from 1993 to 2020.

Urban poverty rate of Belarus remained stable at 3.7 % over the last 1 years. Urban poverty rate is the percentage of the urban population living below the national urban poverty line.

Belarus BY: Poverty Headcount Ratio at National Poverty Lines: % of Population data was reported at 4.800 % in 2020. This records a decrease from the previous number of 5.000 % for 2019. Belarus BY: Poverty Headcount Ratio at National Poverty Lines: % of Population data is updated yearly, averaging 7.300 % from Dec 1996 (Median) to 2020, with 25 observations. The data reached an all-time high of 46.700 % in 1999 and a record low of 4.800 % in 2020. Belarus BY: Poverty Headcount Ratio at National Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.;World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.;;This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

Belarus BY: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data was reported at 0.100 % in 2020. This records a decrease from the previous number of 0.200 % for 2019. Belarus BY: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data is updated yearly, averaging 5.100 % from Dec 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 76.900 % in 1998 and a record low of 0.100 % in 2020. Belarus BY: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Belarus BY: Poverty Gap at $3.20 a Day: 2011 PPP: % data was reported at 0.000 % in 2020. This stayed constant from the previous number of 0.000 % for 2019. Belarus BY: Poverty Gap at $3.20 a Day: 2011 PPP: % data is updated yearly, averaging 0.100 % from Dec 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 12.000 % in 1998 and a record low of 0.000 % in 2020. Belarus BY: Poverty Gap at $3.20 a Day: 2011 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. Poverty gap at $3.20 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $3.20 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Belarus BY: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data was reported at 3.700 % in 2015. This stayed constant from the previous number of 3.700 % for 2014. Belarus BY: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data is updated yearly, averaging 5.200 % from Dec 2000 (Median) to 2015, with 11 observations. The data reached an all-time high of 37.900 % in 2000 and a record low of 3.700 % in 2015. Belarus BY: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

BY: Number of People Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data was reported at 0.000 Person in 2012. This stayed constant from the previous number of 0.000 Person for 2011. BY: Number of People Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data is updated yearly, averaging 0.000 Person from Dec 1998 (Median) to 2012, with 15 observations. The data reached an all-time high of 17,000.000 Person in 1998 and a record low of 0.000 Person in 2012. BY: Number of People Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. Number of people pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure. This indicator shows the number of people living in households experiencing impoverishing out-of-pocket health expenditures, defined as expenditures without which the household they live in would have been above the $1.90 poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).; ; World Health Organization and World Bank. 2021. Global Monitoring Report on Financial Protection in Health 2021.; Sum; This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].

Abstract

For the Belarus Household Sample Survey 2015, researchers collect information on demographic characteristics of household members, housing conditions, personal subsidiary plots, property, household expenditure and income.

The information obtained from the survey is used to analyze the influence of new social processes on living standards and to develop policies aimed at social protection of various population groups. Data is also used to compile household accounts in the system of National Accounts, to calculate consumer price index for goods and services, and to estimate the poverty level in the country.

Geographic coverage

National coverage

Analysis unit

A household is understood as the unit of the survey. For survey purposes the category "households" includes: - families consisting of a husband and a wife with or without children or single parent families; - relatives living together and having a common budget (brother and sister, grandmother and grandson and etc.); - persons living together and having a common budget but who are not relatives, for example two friends; - persons living alone; - families consisting of two and more married couples with or without children.

Universe

The survey covers all household members excluding persons fully supported by the state, for example people staying in homes for the elderly and the disabled, children in public care institutions, prisoners, etc. The survey also excludes foreigners living and working in Belarus on contract basis and families of military men living in military residential settlements or other restricted areas.

Kind of data

Sample survey data [ssd]

Sampling procedure

In accordance with international standards, survey data collection and processing system were altered as well as sample designing method. Instead of branch principle that had been employed earlier, probability (random) sampling method was introduced where sampling units are determined based on the probability proportionate to population size. This method ensures sample representativeness at national and regional levels, sample results independence and intentional error avoidance. Household participation in the survey is on a voluntary basis. Sampled households are surveyed for a year and then are subject to replacement (rotation).

To conduct a sample survey, households' residential addresses are sampled. An overall number of the households living in the Republic of Belarus (according to the results of the latest population Census of the Republic of Belarus) forms universe general population during sampling with an exception of collective households and students residing in dormitories. Sampled population forming 0,2% of universe general population is annually arranged by the Belstat.

Mode of data collection

Face-to-face [f2f]

Research instrument

The main components of the survey are:

1) The main interview which is intended to establish the first contact with the household, to make the list of all household members, to collect the basic information about the household in general and its individual members and to fix the date for subsequent interviews. Before an interview a household receives the initial letter signed by the Minister of Statistics and Analysis stating the date and time of the interviewer's visit. The main interview is conducted in December of the previous year;

2) Four quarterly interviews, conducted in April, July, October of the current year and January of the next year. Quarterly interview covers three previous months and summarizes the information about incomes and major expenditures of the households. At the beginning of every quarter a household is given a diary for recording expenditures during the quarter. The diary is used during quarterly interviews;

3) Four two-week diaries which are handed to a household every quarter. The diary is intended for daily recording of expenditures on foodstuffs and non-food products within 14 days as well as for recording of the consumed foodstuffs which were produced at the individual subsidiary land plot or received as a present.

Cleaning operations

The following coding systems were developed and introduced for Belarus household sample survey: 1) coding of households covered by the survey; 2) coding of household expenditures; 3) coding of additional incomes and employment of household members by sectors and types of activity.

Belarus Multidimensional Poverty Headcount Ratio: World Bank: % of total population data was reported at 3.200 % in 2019. This records a decrease from the previous number of 4.300 % for 2018. Belarus Multidimensional Poverty Headcount Ratio: World Bank: % of total population data is updated yearly, averaging 8.000 % from Dec 2010 (Median) to 2019, with 8 observations. The data reached an all-time high of 10.700 % in 2012 and a record low of 3.200 % in 2019. Belarus Multidimensional Poverty Headcount Ratio: World Bank: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (World Bank) is the percentage of a population living in poverty according to the World Bank's Multidimensional Poverty Measure. The Multidimensional Poverty Measure includes three dimensions – monetary poverty, education, and basic infrastructure services – to capture a more complete picture of poverty.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Abstract

The World Bank is interested in gauging the views of clients and partners who are either involved in development in Belarus or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in Belarus, greater insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in Belarus. The World Bank commissioned an independent firm to oversee the logistics of this effort in Belarus.

The survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Belarus perceive the Bank; - Obtain systematic feedback from stakeholders in Belarus regarding: · Their views regarding the general environment in Belarus; · Their overall attitudes toward the World Bank in Belarus; · Overall impressions of the World Bank's effectiveness and results, knowledge and research, and communication and information sharing in Belarus; and · Perceptions of the World Bank's future role in Belarus. - Use data to help inform the Belarus country team's strategy.

Geographic coverage

National

Analysis unit

Stakeholder

Universe

Stakeholders of the World Bank in Belarus

Kind of data

Sample survey data [ssd]

Sampling procedure

In January 2013, 190 stakeholders of the World Bank in Belarus were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from among the office of the Presidential Administration; the office of the Prime Minister; the office of a Minister; the office of a Parliamentarian; employees of a ministry or a state committee; project management units (PMUs) overseeing implementation of a project; local government officials or staff; bilateral and multilateral agencies; private sector organizations; the financial sector/private banks; CSOs; the media; academia/research institutes/think tanks; and beneficiaries of a program.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The Questionnaire consists of 8 Sections:

A. General Issues Facing Belarus: Respondents were asked to indicate whether Belarus is headed in the right direction, what they thought were the top three most important development priorities, and which areas of development would contribute most to improving people's lives and generating economic growth in Belarus.

B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in Belarus, Bank staff preparedness to help Belarus solve its development challenges, their agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner. Respondents were also asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and greatest weaknesses in its work, the most effective instruments in helping to promote development and reduce poverty in Belarus, with which stakeholder groups the Bank should collaborate more, and to what reasons respondents attributed failed or slow reform efforts.

C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve development results in Belarus, the extent to which the Bank meets Belarus's needs for knowledge services and financial instruments, and the Bank's level of effectiveness across thirty development areas, such as economic growth, governance and anti corruption, job creation, and others.

D. The World Bank's Knowledge: Respondents were asked to indicate how frequently they consult Bank knowledge/research, the areas on which the Bank should focus its research efforts, and to rate the effectiveness and quality of the Bank's knowledge/research, including how significant of a contribution it makes to development results in Belarus and its technical quality.

E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, increasing Belarus' institutional capacity, and providing effective implementation support.

F. The Future Role of the World Bank in Belarus: Respondents were asked to rate how significant a role the Bank should play in Belarus' development in the near future and to indicate what the Bank should do to make itself of greater value in Belarus.

G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the Bank, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked about their level of agreement that they know how to find information from the Bank and that the Bank is responsive to their information requests.

H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in Belarus, and their geographic location.

Response rate

A total of 115 stakeholders participated in the country survey (61% response rate).

Belarus BY: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data was reported at 54,000.000 Person in 2012. This records an increase from the previous number of 50,000.000 Person for 2011. Belarus BY: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data is updated yearly, averaging 58,000.000 Person from Dec 1998 (Median) to 2012, with 15 observations. The data reached an all-time high of 89,000.000 Person in 2004 and a record low of 42,000.000 Person in 1998. Belarus BY: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. Number of people pushed below the 50% median consumption poverty line by out-of-pocket health care expenditure; ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017; Sum;

Bélarus: Poverty, percent of population: Pour cet indicateur, La Banque mondiale fournit des données pour la Bélarus de 2000 à 2022. La valeur moyenne pour Bélarus pendant cette période était de 11.23 pour cent avec un minimum de 3.9 pour cent en 2022 et un maximum de 41.9 pour cent en 2000.

Abstract

Starting from 1995, the National Statistical Committee of the Republic of Belarus (formerly the Ministry of Statistics and Analysis) has been conducting a sample survey of 6,000 households on a yearly basis, according to the methodology complying with international standards. The survey is carried out in all regions of the country and Minsk City, covering 49 cities, towns and urban-type settlements, and 53 rural councils. Data from the latest population census is used to construct the sample.

For the survey, researchers collect information on demographic characteristics of household members, housing conditions, personal subsidiary plots, property, household expenditure and income.

The information obtained from the survey is used to analyze the influence of new social processes on living standards and to develop policies aimed at social protection of various population groups. Data is also used to compile household accounts in the system of National Accounts, to calculate consumer price index for goods and services, and to estimate the poverty level in the country.

Geographic coverage

National coverage

Analysis unit

A household is understood as the unit of the survey. For survey purposes the category "households" includes: 1) families consisting of a husband and a wife with or without children or single parent families; 2) relatives living together and having a common budget (brother and sister, grandmother and grandson and etc.); 3) persons living together and having a common budget but who are not relatives, for example two friends; 4) persons living alone; 5) families consisting of two and more married couples with or without children.

Universe

The survey covers all household members excluding persons fully supported by the state, for example people staying in homes for the elderly and the disabled, children in public care institutions, prisoners, etc. The survey also excludes foreigners living and working in Belarus on contract basis and families of military men living in military residential settlements or other restricted areas.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampled households are surveyed for a year and then are subject to replacement (rotation). To conduct the survey, households' residential addresses are sampled. Sampled population forming 0.2% of universe general population is annually arranged by the statistical office.

A household is understood as the unit of the survey. This is a person or a group of persons (mainly relatives) living together and having a common budget. Close relationship is not an obligatory condition.

Sampling was based on the territorial principle of forming a selection. In accordance with this principle, sampling involved three stages. Different territorial units of selection were used at every stage: the larger units were used at the initial stage while at the third stage the surveyed unit was equal to the selection unit. To ensure equal distribution of sample over the territory of the country, the selection was made separately for urban and rural population.

At the first stage, administrative and territorial units such as cities (including urban settlements) and rural councils were taken as the units of selection. Nineteen cities with the population above 72,000 people and 58 village councils were selected.

At the second stage, constituencies were taken as the selection units in urban areas and residential settlements were taken as the selection units in rural areas. The list of constituencies is drafted at the regional level based on the district (city) executive committees' data on the number of eligible voters. The list of voters excluded persons living in students' and workers' hostels. At the second stage maps of all selected cities and village councils were widely used when building a sample.

At the third stage, a household was taken as the unit of selection. Within the area of the selected constituencies in urban areas and residential settlements in rural areas, the lists of residential apartments and individual houses were drafted based on the data of apartment register in towns and village councils' registers in rural areas. The lists were drafted in line with the numbering of buildings within the area of the selected constituencies in urban areas and in residential settlements in rural areas.

Detailed information about the sampling is available in "Belarus Household Sample Survey Methodology" in Technical Documents (p.9-17).

Mode of data collection

Face-to-face [f2f]

Research instrument

The main components of the survey are:

1) The main interview which is intended to establish the first contact with the household, to make the list of all household members, to collect the basic information about the household in general and its individual members and to fix the date for subsequent interviews. Before an interview a household receives the initial letter signed by the Minister of Statistics and Analysis stating the date and time of the interviewer's visit. The main interview is conducted in December of the previous year;

2) Four quarterly interviews, conducted in April, July, October of the current year and January of the next year. Quarterly interview covers three previous months and summarizes the information about incomes and major expenditures of the households. At the beginning of every quarter a household is given a diary for recording expenditures during the quarter. The diary is used during quarterly interviews;

3) Four two-week diaries which are handed to a household every quarter. The diary is intended for daily recording of expenditures on foodstuffs and non-food products within 14 days as well as for recording of the consumed foodstuffs which were produced at the individual subsidiary land plot or received as a present.

Cleaning operations

The following coding systems were developed and introduced for Belarus household sample survey: 1) coding of households covered by the survey; 2) coding of household expenditures; 3) coding of additional incomes and employment of household members by sectors and types of activity.

Detailed information about coding procedures is available in "Belarus Household Sample Survey Methodology" (p.22-25) in Technical Documents.

Belarus BY: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 24.400 % in 2020. This records a decrease from the previous number of 25.300 % for 2019. Belarus BY: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 27.600 % from Dec 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 32.000 % in 1998 and a record low of 24.400 % in 2020. Belarus BY: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

countries Currency Belarusian ruble. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

Bélarus: Poverty ratio, percent living on less than 1.90 USD a day: Pour cet indicateur, La Banque mondiale fournit des données pour la Bélarus de 1998 à 2020. La valeur moyenne pour Bélarus pendant cette période était de 3.14 pour cent avec un minimum de 0 pour cent en 2010 et un maximum de 21.8 pour cent en 1998.

Belarus Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data was reported at 2.570 % in 2020. This records an increase from the previous number of 1.710 % for 2016. Belarus Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data is updated yearly, averaging 1.300 % from Dec 2002 (Median) to 2020, with 16 observations. The data reached an all-time high of 2.570 % in 2020 and a record low of 0.850 % in 2006. Belarus Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Poverty and Inequality. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the 60% median consumption but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory. Geneva: World Health Organization; 2023. (https://www.who.int/data/gho/data/themes/topics/financial-protection);Weighted average;This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].