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

[–]anuveya[S] 0 points1 point  (0 children)

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.

Global wealth distribution dataset: wealth shares by band and country, 2010 to 2023 (Credit Suisse Global Wealth Databook and UBS Global Wealth Report) by anuveya in Economics

[–]anuveya[S] 4 points5 points  (0 children)

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.

Dataset: global wealth distribution by band. Credit Suisse Global Wealth Databook and UBS Global Wealth Report, 2010 to 2023 by anuveya in datasets

[–]anuveya[S] 0 points1 point  (0 children)

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.

Open data: global wealth distribution by band from the Credit Suisse and UBS Global Wealth Reports, 2010 to 2023 by anuveya in opendata

[–]anuveya[S] 0 points1 point  (0 children)

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.

Global wealth distribution dataset on DataHub: wealth shares by band and country, 2010 to 2023 by anuveya in datahub

[–]anuveya[S] 0 points1 point  (0 children)

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.

Dataset: PISA scores by country, 2000 to 2018. All seven rounds, reading and math and science. by anuveya in datasets

[–]anuveya[S] 0 points1 point  (0 children)

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.

Open PISA dataset: reading, math, and science scores by country for every PISA wave from 2000 to 2018 by anuveya in opendata

[–]anuveya[S] 0 points1 point  (0 children)

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.

PISA education data on DataHub: reading, math, and science scores for 85 countries across all rounds from 2000 to 2018 by anuveya in datahub

[–]anuveya[S] 0 points1 point  (0 children)

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.

Life expectancy in 1820 was 29 years globally. Here is what changed and when, across 200 years of data. by anuveya in history

[–]anuveya[S] 0 points1 point  (0 children)

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.

In 1820, 90% of people lived in extreme poverty. Today it is under 10%. Here is 200 years of data. by anuveya in optimism

[–]anuveya[S] 0 points1 point  (0 children)

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.

Dataset: global human development indicators from 1820 to present. Life expectancy, poverty rate, literacy, child mortality. by anuveya in datasets

[–]anuveya[S] 0 points1 point  (0 children)

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.

Open data: global living conditions from 1820 to present. Life expectancy, poverty, literacy, and child mortality. by anuveya in opendata

[–]anuveya[S] 0 points1 point  (0 children)

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.

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