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Global inequality is huge — but so is the opportunity for people in high-income countries to support poor people

People in high-income countries could dramatically improve lives worldwide with minimal financial commitment, yet few do.

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Few things are more surprising than data about income inequality around the world. Our intuitions about this can be wildly off the mark.

In the Netherlands, the average person’s income over two weeks is more than the entire yearly income of the average person in Malawi.1 Global income inequality is staggering.

But we can also flip this insight around. Given vast inequality, those of us living in rich countries — even on an average income — find ourselves in an extraordinary position to do good.

In this article, we explain the data that shows the scale of this opportunity and explore how those in rich countries might seize it.

Less than 2% of the income of the top 10% global earners equals the entire annual income of the poorest 10%

Here's the question that shifted our perspective on global inequality: how much would it take from the richest 10% of people in the world to match that of the poorest 10%?

Our colleague Pablo Arriagada calculated the answer using data from the World Bank's Poverty and Inequality Platform.2 As the chart below shows, it takes less than 2 cents out of every dollar. That's less than one-fiftieth of their income, or one week of income in a year.

A circular graphic features a large orange section representing the income of the top 10% earners worldwide. An arrow points from this section, indicating that less than 2% of this income can double the income of the poorest 10%. The text explains that only 1.9% from the richest decile’s income is sufficient to achieve this doubling effect. The data is presented as being measured after taxes and benefits. In the footer, the data source is credited to the World Inequality Database for 2025. The chart has a CC BY license credited to Our World in Data.
For a one-person household, an annual post-tax income of $20,000 already puts you in the richest tenth of the world

The second revelation that shifted our perspective on global inequality is that we are in the richest 10%. When we think of global inequality, it's easy to picture “the rich” as someone else — those with garages full of sports cars or taking private trips to space. But the richest tenth of the world includes us and likely many others who don’t intuitively think of themselves as “the rich”.

For a one-person household, an annual post-tax income of $20,000 puts you in this category. That income bracket captures more than half the population in rich countries, like the Netherlands, the US, or Germany.

Realizing this is both sobering and empowering. It means we're not just observers of global inequality — we're participants with big levers to act on it. We can reduce it. We’ll explore three avenues through which we can use this opportunity to support others.

Three ways those in rich countries can realize the extraordinary opportunity to help those in poor countries

1. Support global redistribution through government foreign aid

Foreign aid still dwarfs private philanthropy and is one of the biggest channels of global redistribution. Some of its accomplishments have been remarkable:

Foreign aid is far from perfect, and money can easily be wasted on ineffective programs.5 But from where we stand, its challenges and inefficiencies are arguments for improving efficiency rather than cuts.

People may disagree on how useful foreign aid is. But rich countries have seen that it can work, and they’ve committed to continuing to help the poorest countries.

In 1981, the major foreign aid donor countries made a promise at the UN: at least 0.15% of their national income would go to the world's least-developed countries. That’s far less than the 2% mentioned at the start of the article. These least-developed countries, such as Malawi and Mozambique, are home to populations largely among the poorest 10% of the global income distribution.

Over the years, the major donor countries repeated their pledge. However, according to the most recent data (from 2022), most countries failed to honor this promise. The chart shows the 20 OECD countries giving the most aid (as a percentage of their national income) to the world’s poorest nations. Only three countries met the target in 2022: Luxembourg, Sweden, and Norway.

A bar chart displays the percentage of national income that various developed countries allocated as Official Development Assistance (ODA) to the least developed nations in 2022, compared to a target of at least 0.15%. The bar for Luxembourg shows the highest percentage at 0.46%, followed by Sweden at 0.28% and Norway at 0.2%. Other countries listed include Iceland and Denmark at 0.14%, Belgium at 0.13%, Switzerland, Netherlands, and Japan all at 0.12%, each followed by Germany, France, and Ireland at 0.11%. Canada provides 0.1%, while the United States and the United Kingdom each contribute 0.08%. Austria gives 0.07%, Slovenia and South Korea both provide 0.06%, and Italy is at the lowest at 0.05%. 

Data source: OECD (2024). The note indicates that it represents the 20 OECD nations providing the most aid, percentage-wise, to the poorest nations.

Given the extreme global inequality outlined earlier, increasing aid to the least developed countries represents a modest step toward addressing a profound imbalance — one that rich nations have repeatedly promised but failed to take.

Many countries, including the United States and the United Kingdom, have proposed aid cuts instead. Projections indicate that the American reductions alone could lead to 14 million additional deaths by 2030.6

It can feel like there's not much one person can do about government cuts. But this isn't a reason to despair. People in rich countries can not only demand that their governments do better; each of them also has the power to make a difference through direct donations that reach those in need.

2. Address global inequality through charitable giving

Reaching the world's poorest was once extremely complicated for individuals. But today, reliable channels exist that handle the logistics for you.

For evidence-based giving, GiveWell researches and ranks charitable organizations by their cost-effectiveness, helping donors find where their contributions will have the greatest measurable impact. Their research shows that many of us can save a child’s life through simple interventions, like providing vitamin A supplements to children in low-income countries or distributing bednets to protect against malaria.

When it comes to addressing global inequality, one charity that stands out is GiveDirectly. While charities often face criticism for high administrative costs, this cash transfer organization gets donations directly to people with limited overhead. For every $10 donated, $8 goes directly to those in need.7 These direct cash transfers reach families in countries with particularly high poverty rates, like Malawi, Mozambique, Rwanda, Uganda, and Kenya.8

Giving money directly to poor households really does help. A meta-analysis of randomized controlled trials on such cash transfers to low- and middle-income countries shows a clear pattern: when poor people receive cash, they use it to improve their lives.9 They spend it on essentials like food, school fees, and healthcare. This improves their well-being, reduces stress, and leads to healthier and taller children.

The chart below shows the share of money reaching beneficiaries via GiveDirectly and the statistically significant effects identified in the meta-analysis. Additional studies have also shown that cash transfers increase recipients' use of health services.10 There’s also extensive research examining potential negative consequences, and common concerns appear to lack solid empirical support.11

A graphic titled "Giving money directly to poor people can be cheap and effective" illustrates the efficiency of donations made through GiveDirectly. It shows a visual representation comparing a $10 donation, where $8 reaches beneficiaries and $2 covers costs. 

Below the visual, there are two sections: one for "Positive effects," listing eight items that depict outcomes positively impacted by cash transfers, including food security, labor force participation, mental well-being, height for age, school enrollment, consumption, monthly income, and total assets. 

The second section, labeled "No clear effect," includes three items: hours worked, weight for age, and stunting, indicating that outcomes related to these factors are not statistically significant. 

The data sources for this information are attributed to GiveDirectly (2025) and Crosta et al. (2024), with a note explaining the significance of the results. The image is credited with a Creative Commons BY license.

3 – Raise awareness of global inequality

Let’s return to where we began: the gap between our expectations and the reality of global inequality. To this end, we want to share an insight from a paper by political economist Gautam Nair.12

Take a moment to consider: what do you think is the global median income? Make your best guess before checking the footnote.13

When people learned the actual global median income, their willingness to donate to international charities rose by 55%

In his paper, Nair asked a large, representative sample of Americans about the global median income. He discovered that they think the median income is much higher than it is. On average, they overestimated this figure by a factor of 10.

Because Americans think people globally earn far more than they really do, they underestimate their own relative income. In other words, they imagine they are only a little richer than the typical person worldwide, when they are vastly richer. American citizens are ten times richer than they believe, compared to the global median. This reminded us of seeing the 2% figure for the first time, challenging how we thought about global inequality.

This gap between perception and reality matters when it comes to foreign aid and charitable giving. Nair’s research revealed that correcting false beliefs can directly impact a person’s willingness to support people in poorer countries.

When participants learned the actual global median income, their generosity increased considerably. They not only expressed support for higher foreign aid spending, but also changed their behavior: their willingness to donate to international charities rose by 55% compared to those who remained unaware of the true global income disparity.14

Once they become aware of their relative position in the income distribution, many people want to help the poorest people more. If understanding these facts can spark generosity, even talking about the statistics in this article with someone could be a small but meaningful first step. Perhaps some people decide to act on this and use their opportunity to help those at the other end of the income distribution.

Acknowledgments

Many thanks to Ryan Briggs, Charles Kenny, Tyler Hall, Pablo Arriagada, Hannah Ritchie, Max Roser, Edouard Mathieu, Bastian Herre, and Saloni Dattani for their insights, feedback, and comments on this article.

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Endnotes

  1. In Malawi, the mean daily income or consumption in 2019 was $2.59 (international dollars in 2021 prices, which account for differences in living costs between countries) based on consumption surveys, compared to $75.50 in the Netherlands in 2021 based on income surveys. This means the average person in the Netherlands earns in two weeks (2 × 7 × $75.50 = $1057) what the average person in Malawi earns in an entire year (365 × $2.59 = $945.35).

    These figures involve methodological differences (consumption vs. income surveys and a two-year gap). The World Bank takes various steps to harmonize its data where possible, but comparability issues remain.

    Our page on data collection in inequality and poverty can be useful for further details, and the PIP Methodology Handbook provides a good summary of the comparability and data quality issues affecting this data and how it tries to address them.

    Still, the 30:1 ratio in daily figures illustrates the magnitude of income disparity between these economies.

  2. These calculations use data from the World Bank's Poverty and Inequality Platform (PIP). The PIP provides a high-resolution global income distribution divided into 1,000 income groups ("bins").

    According to this data, the top 10% of global earners receive 47.29% of global income, while the bottom 10% receive 0.91%. Therefore, to double the income of the bottom 10%, an additional 0.91% of global income would be needed, representing 1.92% of the top 10%'s current income (calculated as 0.91 / 47.29 × 100). You can read more about PIP’s methodology here.

    It's important to note that income surveys typically underrepresent the full incomes of the richest individuals due to complex income sources that aren't fully captured. As a result, the true share held by the top income group may be higher than reported in PIP data, potentially making the income gap even larger than these figures suggest.

  3. Shastry, G. K., & Tortorice, D. L. (2025). Effective Health Aid: Evidence from Gavi’s Vaccine Program. American Economic Journal: Economic Policy, 17(1), 540-574.

  4. Cavalcanti, D., Sales, L. D. O. F. D., Silva, A. F., Landin, E., Pena, D. A., Monti, C., ... & Rasella, D. (2025) — Evaluating the Comprehensive Impact of Two Decades of USAID Interventions and Forecasting the Effects of Defunding on Mortality Up to 2030.

  5. During his tenure as Britain’s development minister, Rory Stewart discovered alarming inefficiencies; some £40,000 projects delivering merely £2,000 of actual value, a 95% loss rate. Aid programs face challenges beyond bureaucratic costs, such as corruption (though research suggests it's less pervasive than commonly believed) and ineffective program designs.

  6. Cavalcanti, D., Sales, L. D. O. F. D., Silva, A. F., Landin, E., Pena, D. A., Monti, C., ... & Rasella, D. Evaluating the Comprehensive Impact of Two Decades of USAID Interventions and Forecasting the Effects of Defunding on Mortality Up to 2030.

  7. Source: https://www.givedirectly.org/financials/

  8. Within these countries, they specifically target the poorest regions. Source: https://www.givedirectly.org/rwanda/

  9. Crosta et al. (2024) conducted a meta-analysis on 114 studies covering 72 unconditional cash transfer randomized controlled trials.

  10. Bastagli et al. (2018) reviewed 165 studies on 35 indicators in low- and middle-income countries. They found that “The evidence consistently shows that cash transfers lead to increases in use of health facilities.”

    Bastagli, F., Hagen-Zanker, J., Harman, L., Barca, V., Sturge, G., & Schmidt, T. (2019). The impact of cash transfers: a review of the evidence from low-and middle-income countries. Journal of Social Policy, 48(3), 569-594.”

  11. A common concern is whether cash transfers reduce work effort. However, rigorous studies suggest otherwise: labor force participation and household income tend to increase. For instance, one review found “no evidence of ‘dependency’ theories that cash transfers demotivate income-generating activity on average” (Crosta et al. 2024, p.1). Another concluded that transfers were used to improve income-generating activities, with no observed reduction in labor supply (Daidone et al. 2019, p.1426).

    Another concern is that recipients might spend cash on temptation goods such as alcohol or tobacco. The evidence does not support this either: “almost without exception, studies find either no significant impact or a significant negative impact” on such expenditures (Evans & Popova, 2014).

    On broader economic effects—like inflation or community-level inequality—evidence from large-scale interventions indicates little price inflation and even positive spillovers for non-recipients: increased firm revenues and consumption, with no significant harms across metrics like education, health, or public goods (Egger et al. 2022)

    While large-scale transfers could, in principle, produce different outcomes, current evidence suggests that within the scale of existing programs, the benefits tend to outweigh the risks.

    Sources:

    Crosta, T., Karlan, D., Ong, F., Rüschenpöhler, J., & Udry, C. R. (2024). Unconditional cash transfers: A Bayesian meta-analysis of randomized evaluations in low and middle income countries (No. w32779). National Bureau of Economic Research.

    Daidone, S., Davis, B., Handa, S., & Winters, P. (2019). The household and individual-level productive impacts of cash transfer programs in Sub-Saharan Africa. American journal of agricultural economics, 101(5), 1401-1431.

    Evans, D., & Popova, A. (2014). Cash transfers and temptation goods: a review of global evidence. World Bank Policy Research Working Paper, (6886).

    Egger, D., Haushofer, J., Miguel, E., Niehaus, P., & Walker, M. (2022). General equilibrium effects of cash transfers: experimental evidence from Kenya. Econometrica, 90(6), 2603-2643.

  12. Nair, G. (2018). Misperceptions of relative affluence and support for international redistribution. The Journal of Politics, 80(3), 815-830.

  13. As of 2025, the global median income was approximately 3,400 international dollars (in 2021 prices), based on the latest data from the World Bank’s Poverty and Inequality Platform.

    (Nair's 2018 paper estimated it at $2,100, while the World Bank's estimate for that period was roughly $2,400. This difference is due to different base years in the conversion to international dollars: the World Bank uses 2021 international dollars, and Nair uses 2005 international dollars.)

  14. In the study, participants allocated a $20 amount (either actual or hypothetical) between themselves and charities. Ten percent of participants received the $20 bonus, while others made hypothetical choices. When informed about global income distribution, participants donated 15.7% to international charities versus 10.1% in the control group—a 55% increase. The information effect translated into real behavior, with total actual donations to international charities increasing from $122 in the control group to $196 in the information group—a 61% increase.

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Our articles and data visualizations rely on work from many different people and organizations. When citing this article, please also cite the underlying data sources. This article can be cited as:

Simon van Teutem and Joe Hasell (2025) - “Global inequality is huge — but so is the opportunity for people in high-income countries to support poor people” Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/global-inequality-opportunity-to-give' [Online Resource]

BibTeX citation

@article{owid-global-inequality-opportunity-to-give,
    author = {Simon van Teutem and Joe Hasell},
    title = {Global inequality is huge — but so is the opportunity for people in high-income countries to support poor people},
    journal = {Our World in Data},
    year = {2025},
    note = {https://ourworldindata.org/global-inequality-opportunity-to-give}
}
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