Using a poverty metric of 2.15 U.S. dollars per day, 38.7 percent of the women in Sub-Saharan Africa were living in extreme poverty in 2023. On the other hand, less than one percent of the population in Europe and North America as well as Australia and New Zealand were living in extreme poverty. Nevertheless, there are also many people in these regions struggling to make ends meet.

Out of all OECD countries, Cost Rica had the highest poverty rate as of 2022, at over 20 percent. The country with the second highest poverty rate was the United States, with 18 percent. On the other end of the scale, Czechia had the lowest poverty rate at 6.4 percent, followed by Denmark.

The significance of the OECD

The OECD, or the Organisation for Economic Co-operation and Development, was founded in 1948 and is made up of 38 member countries. It seeks to improve the economic and social well-being of countries and their populations. The OECD looks at issues that impact people’s everyday lives and proposes policies that can help to improve the quality of life.

Poverty in the United States

In 2022, there were nearly 38 million people living below the poverty line in the U.S.. About one fourth of the Native American population lived in poverty in 2022, the most out of any ethnicity. In addition, the rate was higher among young women than young men. It is clear that poverty in the United States is a complex, multi-faceted issue that affects millions of people and is even more complex to solve.

This study offers an empirical exploration and critical assessment of absolute poverty trends and patterns in the EU from a welfare regime perspective. Absolute poverty is operationalized as extreme deprivation, that is, the enforced incapacity to afford certain goods and services. The empirical findings indicate that absolute poverty is low in the countries of the Social-democratic welfare regime and high in countries of the South-European (especially Greece) and the Liberal regime, whereas the countries of the Conservative-Corporatist welfare regime as well as Spain place themselves in-between.

Table of INEBase Risk of poverty or social exclusion (Europe 2030 target) by related to the most frequent activity (persons aged 16 and over). Annual. National. Living Conditions Survey (LCS)

Living Conditions Survey (LCS): Risk of poverty or social exclusion (Europe 2030 target). Intersections between subpopulations. Annual. National.

Hungary - At Risk of Poverty rate was 14.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Hungary - At Risk of Poverty rate - last updated from the EUROSTAT on November of 2025. Historically, Hungary - At Risk of Poverty rate reached a record high of 15.90% in December of 2006 and a record low of 12.30% in December of 2010.

Slovakia was the European Union (EU) country with the largest expected increase in poverty due to the Russia-Ukraine war that began in February 2022. According to the estimates, the share of the Slovak population at risk of poverty was estimated to increase by 4.3 percent as a consequence of economic issues caused by the invasion, such as inflation. Estonia was projected the second-highest poverty increase, at 3.7 percent of residents.

Purpose and brief description EU-SILC (European Union - Statistics on Income and Living Conditions) is a survey on income and living conditions and an important tool to map poverty and social exclusion at both Belgian and European level. The objective of this survey is to establish a global framework for the production of 'Community' statistical data on income and living conditions (EU-SILC), including both coherent cross-sectional and longitudinal data on income and poverty (level, composition,...) at national and European level. The survey is carried out in Belgium and in the other EU Member States and is coordinated by Eurostat, the statistical office of the European Union. In Belgium, the SILC is organised by Statbel. Population Private households in Belgium Data collection method and sample size CAPI (Computer Assisted Personal Interview) - CATI (Computer Assisted Telephone Interview). Response rate ± 60% (N= ± 6.000 households) Periodicity Annually. Release calendar First quarter after survey year Forms SILC: individual questionnaire SILC: questionnaire households Definitions Risk of poverty or social exclusion (AROPE) The risk of poverty or social exclusion, abbreviated AROPE, refers to the situation in which individuals are faced with at least one of the 3 following poverty risks: monetary poverty, severe material and social deprivation or living in a household with very low work intensity. The AROPE rate, the share of the total population at risk of poverty or social exclusion, is the main indicator for monitoring the ‘EU 2030’ target on poverty and social exclusion. Poverty risk = Monetary poverty risk (AROP) The at-risk-of-poverty rate (AROP) is the percentage of people with an equivalised disposable income (after social transfer) below the poverty threshold. The indicator does not measure wealth or poverty, but low income in comparison to other residents in that country. This does not necessarily imply a low standard of living. Poverty risk before social transfers: Percentage of people whose equivalised disposable income after deduction of all social transfers falls below the poverty threshold. Poverty risk before social transfers, excluding pensions: Percentage of people whose equivalised disposable income after deduction of social transfers, excluding pensions, falls below the poverty threshold. Material and social deprivation rate (MSD) and severe material and social deprivation (SMSD) The material and social deprivation rate refers to the inability to afford some goods/services considered by most people to be desirable or even necessary to lead an adequate life. The indicator distinguishes between individuals who cannot afford a certain good/service/activity, and those who do not have this good/service/activity for another reason, e.g. because they do not want or do not need it. The EU-SILC survey asks households about their financial (in)ability to: Pay the bills as scheduled Take every year one week’s holiday away from home Eat a meal with meat, chicken, fish or vegetarian equivalent every second day Face unexpected financial expenses Afford a car Keep the home warm Replace damaged or worn-out furniture In addition, people are asked about their individual financial (in)ability to: Replace worn out or old-fashioned clothes by new ones Have two pairs of shoes in good condition Afford an internet connection at home Get together with friends/family (relatives) for a drink/meal at least once a month Participate regularly in a leisure activity Spend a small amount of money each week on yourself The material and social deprivation rate (MSD) is defined as the enforced inability to pay for at least five of the above-mentioned items. The severe material and social deprivation rate (SMSD) is defined as the enforced inability to pay for at least seven of the above-mentioned items. Low work intensity (LWI) The indicator persons living in households with very low work intensity is defined as the number of persons living in a household where the members of working age worked a working time less than 20% of their total work-time potential during the previous 12 months. The work intensity of a household is the ratio of the total number of months that all working-age household members have worked during the income reference year and the total number of months the same household members theoretically could have worked in the same period. An employee of working age is a person aged 18-59, excluding students aged 18-24. Households composed only of children, of students aged less than 25 and/or people aged 60 or more are completely excluded from the indicator calculation. Level of education The level of education is measured using a detailed questionnaire, and the people are then divided into three groups. Low-skilled people are people who list lower secondary education as their highest level of education. Medium-skilled people are people who obtained a diploma of higher secondary education but not of higher

In 2024, Poland's extreme poverty rate amounted to *** percent. The category of minimum subsistence means the level of meeting needs, which hinders survival and poses a threat to human psychophysical development. Economic poverty in Poland In 2021, the extreme poverty rate in Poland was *** percent, which is one percentage point lower than in the previous year. On the other hand, the relative poverty rate reached **** percent, i.e., *** percentage point more than in the previous year, which is related to the decline in average household expenditure caused by the coronavirus (COVID-19) pandemic. The decrease in extreme poverty observed is associated with a slight improvement in the average material situation of households. In comparison, Poland has one of the lower rates of people at risk of poverty or social exclusion in the CEE region. In 2022, nearly ** percent of Poles were in the range of this indicator, while the EU average was close to ** percent. Households in poverty The extent of poverty varied markedly by socioeconomic group. In 2022, the most vulnerable to economic poverty (i.e., extreme, relative, and statutory poverty) were households living on so-called unearned sources other than pensions and farmers' households. In 2022, extreme poverty in these two groups affected ** and *** percent of people, respectively.Education is one of the most important factors differentiating poverty risk. In general, the higher the education, the lower the poverty risk. Thus, in 2022, ** percent of people from households with at most lower secondary education experienced extreme poverty. In comparison, among families with higher education, the percentage of people living in households with expenses below the extreme poverty line was about ***.Economic poverty also depended on household type, including the number of children. Families with at least * children up to the age of ** were the most exposed to economic poverty. The highest value of economic poverty rates is recorded among children and youth under 18 years of age. The reported extreme poverty range for this age group in 2022 was *** percent. Older people (aged 65 and over) experienced economic poverty relatively least often.

Table of INEBase Risk of poverty or social exclusion (Europe 2030 goal) and its components by nationality (persons aged 16 and over). Annual. Living Conditions Survey (LCS)

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}

In 2023, the poverty rate in France reached **** percent. In recent years, poverty in France has been increasing, affecting both unemployed and working people. The increase in poverty in France Poverty in France reached its highest rate in 2023. That year, more than ** percent of the French population was living below the poverty line, which means that their income was less than 60 percent of the median income in the country. Despite a significant decrease between 2000 and 2004, when the rate went from **** percent down to **** percent, poverty has been rising in France in recent years. Studies have shown that the number of poor people increased in France, reaching approximately *** million individuals in 2023, while **** million people were at risk of poverty or social exclusion in 2020.Poverty is affecting the youth and middle classes Poverty seems to affect mainly younger generations. In 2016, **** percent of the French aged between 18 and 29 years old were considered poor. In comparison, only *** percent of the French aged 65 and 74 years old were in the same situation. Youth unemployment in France, one of the highest in Europe, might explain this phenomenon. However, the middle class is not spared from the rise of poverty either. In 2017, **** percent of French middle-income households had difficulties making ends meet.

This table provides 2022 data on the estimated total population in the Canary Islands due to severe material deprivation (Europe 2020 strategy) and at-risk-of-poverty.

This table provides 2018 data on the estimated total population in the Canary Islands due to severe material deprivation (Europe 2020 strategy) and at-risk-of-poverty.

Living Conditions Survey (LCS): Risk of poverty or social exclusion (Europe 2020 Strategy). Intersections between subpopulations. Annual. National.

Severe housing deprivation rate is defined as the percentage of population living in the dwelling which is considered as overcrowded, while also exhibiting at least one of the housing deprivation measures.Housing deprivation is a measure of poor amenities and is calculated by referring to those households with a leaking roof, no bath/shower and no indoor toilet, or a dwelling considered too dark.

Tabla de INEBase

Severe housing deprivation rate for young people by age, sex and poverty status

The collection "material deprivation" covers indicators relating to economic strain, durables, housing and environment of the dwelling. Severely materially deprived persons have living conditions severely constrained by a lack of resources, they experience at least 4 out of 9 following deprivations items: they cannot afford i) to pay rent or utility bills, ii) keep home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein equivalent every second day, v) a week holiday away from home, vi) a car, vii) a washing machine, viii) a colour TV, ix) a telephone.

Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. Principal investigators are the Directorate-General Communication and on occasion other departments of the European Commission or the European Parliament. Over time, candidate and accession countries were included in the Standard Eurobarometer Series. Selected questions or modules may not have been surveyed in each sample. Please consult the basic questionnaire for more information on country filter instructions or other questionnaire routing filters. In this study the following modules are included: 1. Social climate, 2. Development aid, 3. Cyber security, 4. Public transport, 5. Antimicrobial resistance, 6. Space technology.
Topics: 1. Social climate: life satisfaction; assessment of the current situation and expected development in selected areas (residential area, health care, retirement care, unemployment benefits, cost of living in the country, multicultural relations, dealing with inequalities and poverty in the country, affordability of energy and living room, functioning of government, national economic situation, personal job situation, financial situation of the household, national labor market situation); changes in the aforementioned areas compared to five years ago; most important general issues in politics; most important issues in social policy and employment policy, where the EU should urgently turn to; preference for the solution of social policy for the entire EU or concentration on the poorest regions and countries of the EU; awareness of the European Social Fund (ESF)

1. Development aid: importance of EU development assistance; attitude towards increasing development assistence; estimated proportion of the world population living in extreme poverty; willingness to pay higher prices for fair trade products from developing countries; knowledge of the Millennium Development Goals; most important domains of development policy after 2015; assessment of attainability of selected development goals over the next ten years (elimination of extreme poverty and hunger, universal primary education, gender equality, reducing child mortality, reduction in the mortality rate of women at the birth of a child, spread of HIV / AIDS prevent ); attitude towards development assistance to reduce poverty in developing countries: role of individuals in reducing poverty in developing countries as well as the primary concern of the EU and national government, positive effect of development assistance on EU citizens.

2. Cyber security: frequency of internet use; type of device internet acess; type of online activities; confidence in own skills of internet use for online banking and online shopping; type of fears in activities such as online banking or shopping online; habit change due to security concerns when using the Internet; personal experience of online harassment or experience by children; self-assessment of knowledge about cyber crime; frequency even experienced forms of cyber crime; personal concern to be victim of selected forms of cybercrime; preferred points of contact in case of self-experienced cyber attacks; concern about the lack of security of personal online-information on websites and government agencies; avoiding the disclosure of personal information on the internet; increased risk of becoming a victim of cyber-crime; password change in the last year for selected online services.

3. Public transport: frequency of use: car, public transport, motorcycle, bicycle and pedestrian paths; frequency of travel within cities; incidence of problems in urban travel; evaluation of congestion, noise pollution, air pollution, accidents and travel costs as important urban problems; expected development of the traffic situation in cities; appropriate measures to improve travel within cities; evaluation of the effectiveness of selected measures for improving of traveling conditions within cities (restrictions on certain types of vehicles, campaigns to restrict car use, additional fees for the use of certain roads at certain periods); responsability for the reduction of traffic in cities (regional governments, city authorities, private companies or citizens).

4. Antimicrobial resistance: use of antibiotics in oral form during the last twelve months; sourcing of the last antibiotics used; indication for the last antibiotics used; knowledge about effects of antibiotics: destroys viruses, effective remedy for colds and flu, unnecessary use of antibiotics reduces their effectiveness, antibiotics have side effects; attitude towards the contribution of every individual to preserve effectiveness of antibiotics; information on unnecessary use of antibiotics; source on information about the unnecessary use of antibiotics; attitude change due to information about antibiotics and specific personal response to this information; preferred sources of...