Pablo Arriagada

Data Scientist

Pablo joined in 2022 to expand OWID’s work on poverty, inequality, and economic development. Before this, he was a consultant in data analysis, data visualization, and data science for academic and journalistic research in Chile, and previously worked in institutional data analysis for higher education. He has an MPA in Public and Economic Policy from the London School of Economics.

Pablo Arriagada

Data Scientist

All work

Poverty

In order to make progress against poverty in the future, we need to understand poverty around the world today and how it has changed.

Economic Inequality

See all our data, visualizations, and writing on economic inequality.

Economic Growth

See all our data, visualizations, and writing on economic growth.

OWID Data Collection: Inequality and Poverty

Explore a wide range of indicators on inequality and poverty and compare sources.

Thumbnail for the article on multidimensional poverty. The image consists of a grid of color blocks arranged in a two-by-four format representing the color scheme used in the Multidimensional Poverty Index.

Beyond income: understanding poverty through the Multidimensional Poverty Index

The experience of poverty goes beyond a very low income. What is the Multidimensional Poverty Index, and how does it capture the diverse ways people experience deprivation?

What are international dollars?

International dollars are used to compare incomes and purchasing power across countries and over time. Here, we explain how they’re calculated and why they’re used.

Featured image for the article on the Human Development indices. Stylized world maps of the different indices.

The Human Development Index and related indices: what they are and what we can learn from them

Researchers have developed several indices that aim to capture human development. How do they work?

Government Spending

What do governments spend their financial resources on?

Homelessness

How many people are affected by homelessness? How is their number changing over time? Explore global data and research on homelessness.

Foreign Aid

Who gives and receives foreign aid? Which forms does it take? What are examples of when it was (un-)successful?

A line graph features multiple colored lines, each representing a different data set over a continuous variable. The x-axis displays a measurement scale, likely indicating time or categories, while the y-axis represents a quantitative value. Several lines fluctuate in varying patterns; one line, colored purple, shows a significant increase toward the end, peaking higher than the others. Other lines include shades of blue, green, orange, and brown, which display more stable or moderate increases and decreases. The overall trend indicates a divergence in the datasets, with some lines remaining relatively stable while others experience considerable changes.

What is foreign aid? How “Official Development Assistance” is measured

Foreign aid measurement is complicated — what exactly counts as Official Development Assistance, what doesn’t, and how much is actually spent abroad?

State Capacity

Do governments worldwide have the ability to implement their policies? How is this changing over time? Explore research and data on state capacity.

Human Rights

How has the protection of human rights changed over time? How does it differ across countries, and between social groups? Explore global data on human rights.

Women’s Rights

How has the protection of women’s rights changed over time? How does it differ across countries? Explore global data and research on women’s rights.

LGBT+ Rights

How has the protection of LGBT+ rights changed over time? How does it differ across countries? Explore global data on LGBT+ rights.

LGBT+ rights have become more protected in dozens of countries, but are not recognized across most of the world

Despite progress, same-sex marriage, adoption, gender marker changes, and third genders remain unrecognized in many countries. Some have even imposed more regressive policies.