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.

Among the OECD countries, Costa Rica had the highest share of children living in poverty, reaching **** percent in 2022. Türkiye followed with a share of ***percent of children living in poverty, while **** percent of children in Spain, Chile, and the United States did the same. On the other hand, only ***** percent of children in Finland were living in poverty.

Historical dataset showing OECD members poverty rate by year from N/A to N/A.

The United States and Japan were the OECD countries with the highest poverty gap based on disposable income in 2022. With **** percentage points, Belgium had the lowest poverty gap.

Of the countries included, South Africa had the highest income inequality, with a Gini coefficient of 0.62. It was also the country with the highest inequality level worldwide. Of the OECD members, Costa Rica had the highest income inequality, whereas Slovakia had the lowest.

The most common poverty measures, including that used by the OECD, focus on income based approaches. One of the most common measures of income poverty is the proportion of households with income less than half median equivalised disposable household income (which is set as the poverty line); this is a relative income poverty measure as poverty is measured by reference to the income of others rather than in some absolute sense. Australia has one of the highest household disposable incomes in the world, which means that an Australian relative income poverty line is set at a high level of income compared to most other countries.

OECD statistics on Australian poverty 2015-16 (based on ABS Survey of Income and Housing data and applying a poverty line of 50% of median income) determined the Australian poverty rate was over 25% before taxes and transfers, but falls around 12% after taxes and transfers. Though measuring poverty through application of solely an income measure is not considered comprehensive for an Australian context, however, it does demonstrate that the Australian welfare system more than halves the number of Australians that would otherwise be considered as at risk of living in poverty under that measure.
It is important to consider a range of indicators of persistent disadvantage to understand poverty and hardship and its multidimensional nature. Different indicators point to different dimensions of poverty. While transient poverty is a problem, the experience of persistent poverty is of deeper concern, particularly where families experience intergenerational disadvantage and long-term welfare reliance. HILDA data from the Melbourne Institute of Applied Economic and Social Research shows the Distribution of number of years in poverty 2001–2015. The figure focuses on the longer term experience of working age adults and shows that while people do fall into poverty, only a small proportion of people are persistently poor.

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

Small changes in estimates between years should be treated with caution as they may not be statistically significant.

Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

In 2023, the relative poverty rate in South Korea stood at around **** percent, which was the same as the previous year. The relative poverty rate, the share of people living with less than half of the national median disposable income, has fallen in recent years. However, the numbers are still relatively high by global standards, especially among older people. Relative poverty among older adults The share of older people in South Korea continues to rise. In 2023, the elderly population aged 65 years and older accounted for about ** percent of the total South Korean population. In 2024, South Korea has become a 'super-aged' society, with people aged 65 and older accounting for more than 20 percent of the total population. However, the economic situation of older people has improved little – around ** percent of the elderly population lives in relative poverty, which is among the highest rates of member countries of the Organization for Economic Co-operation and Development (OECD). Poverty and suicide risk among older adults South Korea has the highest suicide rate in the OECD, with ****** people taking their own lives in 2023. The suicide rate among older adults is exceptionally high. The suicide rate was highest among the elderly male population aged 80 years and older. The most cited causes of suicide among people aged 65 years and older were health problems and financial difficulties.

Definition: The risk-of-poverty rate indicates the percentage of people with an income below the risk-of-poverty threshold in the population. The risk-of-poverty rates are presented on the basis of two alternative risk-of-poverty thresholds, determined according to different procedures: New procedure: The NRW 2012 Social Report aligned the procedure for determining the poverty risk threshold with the EU standard. According to this, the poverty risk threshold is 60% of the median equivalised income of the North Rhine-Westphalian population. The new OECD scale is used to determine equivalised income. Old procedure: In older reports of North Rhine-Westphalian social reporting, a different procedure was used. According to this, the poverty risk threshold is 50% of the arithmetic mean of the equivalised income of the North Rhine-Westphalian population. The old OECD scale is used to determine equivalised income. Note on the revision of the results for 2011 and 2012: The extrapolation framework for the microcensus has been changed: Up to the 2010 survey year, the extrapolation is based on the updated results of the 1987 census, and from 2011 on the updated results of the 2011 census. With the update for the 2013 survey year, the results for 2011 and 2012 were revised accordingly. Data source: IT.NRW, Microcensus

This table contains estimates of Incomes (Median Equivalised, Median Disposable), Poverty (using the proportion of people below a half median equivalised disposable household income poverty line), Inequality (using the Gini coefficient) and financial stress (Had no access to emergency money, Can't afford a night out once a fortnight and Leaving low income from benefit). Leaving low income from benefit is the gross earning (expressed as a percentage of average full time earnings) required for a family to reach a 60% of median household income threshold from benefits of last resort (State welfare payments or income support). All estimates were derived using a spatial microsimulation model which used the Survey of Income and Housing and the 2011 Census data as base datasets, so they are synthetic estimates. This table forms part of the AURIN Social Indicators project.

Context

Additional data collated for Kiva loans & Poverty analysis

Content

There are various measures that can used to understand the economic welfare of countries/regions throughout the world - Such data is published & made available publicly by various organizations, such as The World Bank, United Nations Human Development Reports, Organisation for Economic Co-operation and Development (OECD), Oxford Poverty & Human Development Initiative, to name a few

Here we have collated the data from various sources to understand different factors & how these factors affects Kiva borrower situations, taking into consideration the latest available data (2016 in majority cases, & in case data for 2016 is not available in the particular dataset, have considered the data from the last year that is available)

Apart from understanding Kiva loans, this dataset can also be used for understanding the Poverty levels of various regions

Acknowledgements

https://data.worldbank.org/indicator http://hdr.undp.org/ Data Tables 1.1 – 7 as: Alkire, S. and Robles, G. (2017). “Multidimensional Poverty Index Summer 2017: Brief methodological note and results.” OPHI Methodological Note 44, University of Oxford.

Banner Photo by Olga DeLawrence on Unsplash

Inspiration

https://www.kiva.org/about/

In 2024, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the overall poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States The poverty threshold for a single person in the United States was measured at an annual income of ****** U.S. dollars in 2023. Among families of four, the poverty line increases to ****** U.S. dollars a year. Women and children are more likely to suffer from poverty. This is due to the fact that women are more likely than men to stay at home, to care for children. Furthermore, the gender-based wage gap impacts women's earning potential. Poverty data Despite being one of the wealthiest nations in the world, the United States has some of the highest poverty rates among OECD countries. While, the United States poverty rate has fluctuated since 1990, it has trended downwards since 2014. Similarly, the average median household income in the U.S. has mostly increased over the past decade, except for the covid-19 pandemic period. Among U.S. states, Louisiana had the highest poverty rate, which stood at some ** percent in 2024.

In 2021, the poverty rate in Japan was **** percent. The rate had been on a downward trend since it peaked in 2012 at **** percent. The poverty rate refers to the ratio of the number of people whose income is less than half the median household income of the total population.

In 2021, more than ** percent of people over 65 years in South Korea were living in relative poverty. This was the second-highest rate among member countries of the Organization for Economic Co-operation and Development (OECD).

NATSEM estimates of housing stress (2006 and 2010) and estimates of poverty variables (2006) of SLAs, excluding SLAs in Brisbane and Canberra, in Australia. These data were derived from spatial microsimulation using 2006 Census benchmarks (SPATIALMSM08b) applied to Australian Bureau of Statistics (ABS) Confidentialised Unit Record File data. For housing stress, the indicator is based on a commonly used measure of housing stress known as the 30/40 rule. Using this definition, a household is said to be in housing stress if it spends more than 30 per cent of its gross income on housing costs and if it also falls into the bottom 40 per cent of the equivalised disposable household income distribution. The poverty indicator represents the percentage of people in households where income is below the poverty line. The poverty line has been set at half the median OECD equivalised household disposable income.

Этот набор данных содержит статистические данные о неравенстве доходов в субнациональных регионах. Показатели включают относительный уровень бедности и соотношение доходов 80/20. Определение и источник данных Уровень относительной бедности (в разбивке по полу) - это доля людей в процентах от общей численности населения, проживающих в домохозяйствах с располагаемым доходом ниже относительной черты бедности (50% от среднего располагаемого дохода по стране). Соотношение S80/S20 - это общий доход, полученный 20% людей с самым высоким доходом в регионе, разделенный на общий доход, полученный 20% людей с самым низким доходом в том же регионе. Подробная информация об источниках данных приведена в Краткий обзор регионов и городов ОЭСР за 2024 год - Приложение B Определение регионов Регионы - это субнациональные единицы, расположенные за пределами национальных границ. Страны ОЭСР имеют два региональных уровня: крупные регионы (территориальный уровень 2 или TL2) и небольшие регионы (территориальный уровень 3 или TL3). Регионы ОЭСР представлены в территориальной сетке ОЭСР (pdf) и в таблице территориального соответствия ОЭСР (xlsx). Процитируйте этот набор данных База данных ОЭСР по регионам, городам и локальным районам (Неравенство доходов - регионы), http://oe.cd/geostats. Контактное лицо: RegionStat@oecd.org Я хотел бы узнать больше о статистических данных в Галиции. отчет о доходах от грандиозных исследований (TL2). Показатели включают в себя уровень бедности и относительную прибыль и соотношение доходов S80/S20. Окончательное определение происхождения и источников Taux де pauvret и eacute; относительной г.(п. жанр) : доля-Де-человек, exprim и eacute;е по en pourcentage-де-ла населения тотале, Виван данс де м и eacute;nages АВЭК ООН Ревану доступно РСМД и eacute;rieur АУ seuil де pauvret и eacute; относительная (50 % - дю Ревану м и eacute;Диан доступно Национальный). Соотношение S80/S20 : отношения между доходами в общей сложности составляют 20 % от общего числа сотрудников плюс богатство в одной стране и доходы в общей сложности составляют 20 % от общего числа сотрудников плюс бедность в другой стране. тщательный анализ. Источники крови с самого раннего возраста и с самого раннего возраста танцуют Панорама районов и селений Океана 2024 - пристройка В.. Окончание исследований Регионы, занимающиеся организацией внутренних дел на местах и без каких-либо границ с национальными государствами. Жители двух северных районов - острого жирондизма: больших городов (территория ниво 2 или TL2) и маленьких городов (территория ниво 3 или TL3). Острова, находящиеся в непосредственной близости от границы с территорией, закрытой для посещения href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf) и это касается таблицы соответствия на территории ОКР (xlsx). Цитирую тебя по-настоящему База данных по регионам, деревням и зонам, расположенным в Океане (В "доходных" районах Галиции"), http://oe.cd/geostats . Контактное лицо : RegionStat@oecd.org This dataset provides statistics on income inequalities in subnational regions. Indicators include relative poverty rate and S80/S20 income ratio. Data definition and source Relative poverty rate (by gender) is the share of people - as a percentage of the total population - living in households with a disposable income below the relative poverty line (50% of the national median disposable income). S80/S20 ratio is the total income received by the 20% of the people with the highest income in a region divided by the total income received by the 20% of people with the lowest income in the same region. Data sources are detailled in OECD Regions and Cities at a Glance 2024 - Annex B Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx). Cite this dataset OECD Regions, cities and local areas database (Income inequalities - Regions), http://oe.cd/geostats. Contact: RegionStat@oecd.org Ce jeu de données fournit des statistiques sur les inégalités de revenus dans les grandes régions (TL2). Les indicateurs incluent le taux de pauvreté relative et le ratio de revenus S80/S20. Définition des données et sources Taux de pauvreté relative (par genre) : proportion de personnes, exprimée en pourcentage de la population totale, vivant dans des ménages avec un revenu disponible inférieur au seuil de pauvreté relative (50 % du revenu médian disponible national). Ratio S80/S20 : rapport entre le revenu total des 20 % des personnes les plus riches d’une région et le revenu total des 20 % des personnes les plus pauvres dans cette même région. Les sources des données sont détaillées dans Panorama des régions et des villes de l'OCDE 2024 - Annexe B. Définition des régions Les régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l’OCDE (pdf) et dans le tableau de correspondance territoriale de l’OCDE (xlsx). Citer ce jeu de données Base de données sur les régions, villes et zones locales de l'OCDE (Inégalités de revenus - Régions), http://oe.cd/geostats. Contact : RegionStat@oecd.org

Economic research on the safety net has evolved significantly over time, moving away from a near exclusive focus on the negative incentive effects of means-tested assistance on employment, earnings, marriage and fertility to include examination of the potential positive benefits of such programs to children. Initially, this research on benefits to children focused on short run impacts, but as we accumulated knowledge about skill production and better data became available, the research evolved further to include important long run economic outcomes such as employment, earnings and mortality. Once the positive long-run benefits to children are considered, many safety net programs are cost-effective. However, the current government practice of limiting the time horizon for cost-benefit calculations of major policy initiatives reduces the influence of the most current economic research on the long run benefits. We conclude with a discussion of why the rate of child poverty in the US is still higher than most OECD countries and how research on children and the safety net can better inform policy-making going forward.

In 2023, around 27.4 percent of residents in Bremen were at risk of living in poverty. This list shows the 15 cities in Germany with the highest at-risk-of-poverty rates.

In 2022, just over 17 percent of people in East Germany were at risk of living in poverty and in West Germany there were 16.7 percent. For West Germany this was one of the highest figures seen since 2005.

This statistic shows the at-risk-of-poverty rate in Germany in 2023, based on migrant background and citizenship. That year, among those without German citizenship, the rate amounted to almost 36 percent.