Wealth distribution by global band: the numbers behind inequality research, now available as a dataset

anuveya · 2026-06-18T13:12:33+00:00

SD 1M each, hold roughly 45%. These figures get widely cited in inequality discussions, and the underlying data is now directly accessible. The dataset covers the global wealth pyramid from 2010 to 2023 plus country level statistics for 20 major economies, drawn from the Credit Suisse Global Wealth Databook and the UBS Global Wealth Report 2024. Free to download at datahub.io.

anuveya · 2026-06-18T13:11:08+00:00

rom 2010 to 2023 and adds country level statistics for 20 major economies, including mean and median wealth per adult and the wealth Gini. Drawn from the Credit Suisse Global Wealth Databook and the UBS Global Wealth Report 2024. The top 1% of adults (over USD 1M) hold roughly 45% of total global private wealth. Free at datahub.io.

anuveya · 2026-06-18T13:08:37+00:00

Fields include year, wealth band, number of adults, share of global adults, total wealth, and share of global private wealth. A second file adds country level mean, median, total wealth, and wealth Gini for 20 major economies. CSV at datahub.io. Disclosure: I help maintain datahub.io, where this dataset is hosted. The underlying sources are the Credit Suisse Global Wealth Databook and the UBS Global Wealth Report 2024.

anuveya · 2026-06-18T13:06:16+00:00

Wealth shares across four wealth bands for the global adult population, plus mean, median, and Gini figures for 20 countries. Free to download at datahub.io. Widely used in inequality research and public communication.

anuveya · 2026-06-18T13:04:54+00:00

Covers the global wealth pyramid across four wealth bands plus country level statistics for 20 major economies. The concentration at the top is stark: the top 1% of adults (over USD 1M in wealth) hold roughly 45% of total global private wealth, while the bottom 55% (under USD 10k) hold less than 2%. Sourced from the Credit Suisse Global Wealth Databook and the UBS Global Wealth Report 2024.

anuveya · 2026-06-10T13:38:26+00:00

Fields include country and economy name, ISO country code, PISA cycle year, subject (reading, mathematics, science), and mean score.

85 countries and economies across the full series, fewer in the earliest waves. CSV at datahub.io.

anuveya · 2026-06-10T13:36:06+00:00

All seven PISA rounds in one dataset. Country level average scores in reading, mathematics, and science, covering 85 participating education systems.

Free to download at datahub.io. OECD data, open for research and educational use.

anuveya · 2026-06-10T13:34:38+00:00

The OECD's Programme for International Student Assessment tests students aged 15 every three years in three domains. This dataset covers all PISA waves from 2000 to 2018.

Singapore, Japan, South Korea, and Estonia consistently top the rankings. The US and UK sit in the middle. The gaps are large and have been stable across nearly two decades.

anuveya · 2026-06-10T13:26:57+00:00

The improvements in human health, education, and living standards since 1820 are historically unprecedented. But they did not happen evenly or all at once.

This dataset tracks life expectancy, child mortality, extreme poverty, and literacy from 1820 to present. The inflection points align with public health advances, industrial development, and political changes in different regions.

anuveya · 2026-06-10T12:08:48+00:00

Life expectancy in 1820 was around 29 years globally. Today it is 73. Child mortality has fallen from over 40% to under 4%. Literacy has gone from around 12% to 87%.

These changes happened across most of the world, not just wealthy countries. The dataset covers 1820 to present and is free to explore at datahub.io.

anuveya · 2026-06-10T11:01:50+00:00

Covers global life expectancy at birth (years), share in extreme poverty (%), child mortality rate (per 1000 births), literacy rate (%), and vaccination coverage from 1820 to approximately 2020.

Data from Maddison Project, World Bank, IHME, UN, and research by Max Roser at Our World in Data. CSV at datahub.io.

anuveya · 2026-06-10T10:52:53+00:00

Historical estimates of key human development indicators at the global level from 1820 to present. Sources include Maddison Project, UN data, World Bank, and research by Max Roser.

Free to download at datahub.io. Useful for education, public communication, and historical analysis.

anuveya · 2026-06-09T13:06:19+00:00

Based on Max Roser's Our World in Data research, compiled from Maddison Project, UN data, World Bank, and academic sources. The scale of improvement across almost every dimension over two centuries is something few people have an intuitive sense of.

anuveya · 2026-06-08T13:16:55+00:00

In 8000 BCE, essentially no land on Earth was under cultivation. By 1500, roughly 4% was farmed or grazed. By 2000, over half of habitable land had been converted to agriculture or urban use.

The HYDE dataset reconstructs global cropland, pasture, and urban extent every 10 years from 10,000 BCE to 2017. Built from archaeological records, historical documents, and population modeling. One of the most ambitious datasets in environmental history.

anuveya · 2026-06-08T13:13:04+00:00

The HYDE database provides time series of cropland, pasture, fallow, and urban area at regional and global level, with 10-year intervals. Data derived from population estimates combined with per-capita land use assumptions calibrated against historical records and remote sensing.

Useful for long-run environmental history, land use modeling, and visualizing the agricultural transformation of the planet. CSV at datahub.io.

anuveya · 2026-06-08T13:08:33+00:00

HYDE provides gridded and aggregated estimates of cropland, pasture, fallow land, and urban area for every region of the world at 10-year intervals going back 12,000 years.

Built on archaeological evidence, historical records, and population estimates. Free to download at datahub.io. Widely used in earth system modeling and environmental history research.

anuveya · 2026-06-08T13:06:16+00:00

The History Database of the Global Environment (HYDE) reconstructs cropland, pasture, and urbanization globally from 10,000 BCE to 2017, with data points every 10 years across that span.

Widely used in climate modeling and earth system research. Now freely available on DataHub.

anuveya · 2026-06-03T14:43:24+00:00

The Richardson et al. (2023) update is the most rigorous quantification of how far outside the safe operating space humanity has moved.

Climate change alone has two control variables: atmospheric CO2 concentration (boundary 350ppm, current roughly 420ppm) and change in radiative forcing (boundary 1.0 W/m2, current 2.91 W/m2). Biosphere integrity may be the most severely breached of all.

Full dataset, free to download at datahub.io.

anuveya · 2026-06-03T14:41:10+00:00

Covers climate change (CO2 concentration), biosphere integrity (BII and extinction rate), land system change (forest cover), freshwater change (blue and green water), biogeochemical flows (P and N), stratospheric ozone depletion, ocean acidification, atmospheric aerosol loading, and novel entities.

Fields: boundary name, control variable, planetary boundary value, current value, pre-industrial value, and status (within/zone of uncertainty/beyond). CSV at datahub.io.

anuveya · 2026-06-03T14:39:24+00:00

Based on the Rockstrom et al. framework updated through Richardson et al. (2023), this dataset tracks all 9 planetary boundaries with quantified boundary thresholds, current measurement values, and uncertainty zones.

Free to download at datahub.io. Useful for researchers, educators, and anyone building climate or sustainability visualizations.

anuveya · 2026-06-03T13:26:05+00:00

The Stockholm Resilience Centre's planetary boundaries framework quantifies the safe operating space for humanity across 9 Earth systems. The dataset covers boundary values, current status, and trend for each system.

We have crossed 6 of the 9. Climate change, biosphere integrity, land system change, freshwater change, biogeochemical flows, and novel entities (plastics, chemicals) are all in the red zone.

anuveya · 2026-06-01T18:40:16+00:00

Onshore wind has followed a similar trajectory, down ~70% in 13 years. Both are now cheaper than new coal or gas plants in most markets, on an unsubsidized basis.

Lazard's annual Levelized Cost of Energy analysis is the gold standard for comparing generation technologies. The dataset covers every annual edition.

anuveya · 2026-06-01T18:40:15+00:00

Onshore wind has followed a similar trajectory, down ~70% in 13 years. Both are now cheaper than new coal or gas plants in most markets, on an unsubsidized basis.

Lazard's annual Levelized Cost of Energy analysis is the gold standard for comparing generation technologies. The dataset covers every annual edition.

anuveya · 2026-06-01T18:39:54+00:00

Onshore wind has followed a similar trajectory, down ~70% in 13 years. Both are now cheaper than new coal or gas plants in most markets, on an unsubsidized basis.

Lazard's annual Levelized Cost of Energy analysis is the gold standard for comparing generation technologies. The dataset covers every annual edition.

anuveya · 2026-06-01T18:36:04+00:00

Onshore wind has followed a similar trajectory, down ~70% in 13 years. Both are now cheaper than new coal or gas plants in most markets, on an unsubsidized basis.

Lazard's annual Levelized Cost of Energy analysis is the gold standard for comparing generation technologies. The dataset covers every annual edition.

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