Visual CapitalistModify

2025-12-14 23:25:23

Ranked: Wine Consumption per Capita in 2024

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Wine is a deeply regional drink. In some countries it’s part of everyday meals, while in others it’s a more occasional purchase.

This visualization compares wine consumption per capita in 2024 across the 20 countries with the highest overall wine consumption using data from the International Organisation of Vine and Wine, and population (15 years and older) figures from the World Bank.

The differences are dramatic, showing how quickly “typical” wine consumption changes depending on where you look.

The Countries that Drink the Most Wine per Person

Portugal sits alone at the top at 61.1 liters per person in 2024. That’s 18.4 liters higher than second-place Italy (42.7) and 19.6 liters above France (41.5).

The data table below shows wine consumption per capita by country in 2024 in liters:

Rank	Country	Annual wine consumption per capita in 2024 (liters)
1	Portugal	61.1
2	Italy	42.7
3	France	41.5
4	Switzerland	29.7
5	Austria	28.6
6	Australia	24.5
7	Germany	24.5
8	Hungary	24.4
9	Spain	23.8
10	UK	22.3
11	Argentina	21.6
12	Netherlands	20.7
13	Romania	18.7
14	Canada	13.7
15	USA	11.8
16	South Africa	9.2
17	Russia	6.8
18	Japan	2.8
19	Brazil	1.9
20	China	0.5

Portugal’s high wine production per capita and low value-added tax (VAT) of 13% on still wine (the lowest in the EU) fuel its high consumption.

Even if sparkling wines face a 23% value-added tax in Portugal (with no extra alcohol excise tax), in-restaurant sparkling VAT falls back down to 13%.

Across the 20 countries shown, the average is 21.5 liters per person and the median is 22.0—meaning half of countries are above (or below) roughly the low-20s.

European Countries Drink the Most Wine per Capita

European countries hold the top five spots in terms of drinking the most wine per capita, and as a group, European countries average 28.7 liters per person, well above the 20-country average of 21.5.

However, there’s a clear top tier even among European countries, with a significant drop-off after the top three.

Consumption falls 11.8 liters from France (41.5) to Switzerland (29.7)—equal to the entire per-capita consumption level in the U.S. (11.8).

Wine Consumption Varies Outside Europe

Non-European countries in this dataset average 10.8 liters per person—less than half the European average (28.7). But the spread is wide.

Australia is the standout at 24.5 liters, while Canada (13.7) and the U.S. (11.8) sit closer to the middle-lower range.

At the bottom end, Japan (2.8), Brazil (1.9), and China (0.5) show how small per-capita consumption can be in large, non-traditional markets.

Learn More on the Voronoi App

To learn more about global wine consumption, check out this graphic on Voronoi which visualizes overall consumption per country.

2025-12-14 21:04:47

The Number of European Colonies by Country (1450-2000)

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Europe’s colonial empires have shaped the world’s political and economic systems for over 500 years.

From Portugal’s early ventures in the 1400s, to Britain’s massive empire in the early 20th century, European nations have competed for control of territory and trade across nearly every continent. In this graphic, we trace the history of European colonies from 1462 to today, showing how the era of colonies rose and fell.

Data & Discussion

The data for this visualization comes from Our World in Data. It tracks the number of overseas colonies under the control of key European powers including the UK, France, Spain, Portugal, the Netherlands, and others.

These numbers provide a historical record of how European influence expanded through exploration, conquest, and colonization, and later declined through wars, independence movements, and international pressure.

Year
1462	0	0	0	1	0	0	0	0
1463	0	0	0	1	0	0	0	0
1464	0	0	0	1	0	0	0	0
1465	0	0	0	1	0	0	0	0
1466	0	0	0	1	0	0	0	0
1467	0	0	0	1	0	0	0	0
1468	0	0	0	1	0	0	0	0
1469	0	0	0	1	0	0	0	0
1470	0	0	0	1	0	0	0	0
1471	0	0	0	1	0	0	0	0
1472	0	0	0	1	0	0	0	0
1473	0	0	0	1	0	0	0	0
1474	0	0	0	1	0	0	0	0
1475	0	0	0	1	0	0	0	0
1476	0	0	0	1	0	0	0	0
1477	0	0	0	1	0	0	0	0
1478	0	0	0	1	0	0	0	0
1479	0	0	0	1	0	0	0	0
1480	0	0	0	1	0	0	0	0
1481	0	0	0	1	0	0	0	0
1482	0	0	0	2	0	0	0	0
1483	0	0	0	2	0	0	0	0
1484	0	0	0	2	0	0	0	0
1485	0	0	0	2	0	0	0	0
1486	0	0	0	2	0	0	0	0
1487	0	0	0	2	0	0	0	0
1488	0	0	0	2	0	0	0	0
1489	0	0	0	2	0	0	0	0
1490	0	0	0	2	0	0	0	0
1491	0	0	0	2	0	0	0	0
1492	0	0	0	2	0	0	0	0
1493	0	0	0	2	0	0	0	0
1494	0	0	0	2	0	0	0	0
1495	0	0	1	2	0	0	0	0
1496	0	0	1	2	0	0	0	0
1497	0	0	1	2	0	0	0	0
1498	0	0	1	2	0	0	0	0
1499	0	0	1	2	0	0	0	0
1500	0	0	1	2	0	0	0	0
1501	0	0	1	2	0	0	0	0
1502	0	0	1	2	0	0	0	0
1503	0	0	1	2	0	0	0	0
1504	0	0	1	2	0	0	0	0
1505	0	0	1	2	0	0	0	0
1506	0	0	1	2	0	0	0	0
1507	0	0	1	2	0	0	0	0
1508	0	0	1	2	0	0	0	0
1509	0	0	2	2	0	0	0	0
1510	0	0	2	2	0	0	0	0
1511	0	0	3	3	0	0	0	0
1512	0	0	3	3	0	0	0	0
1513	0	0	3	3	0	0	0	0
1514	0	0	3	3	0	0	0	0
1515	0	0	3	3	0	0	0	0
1516	0	0	3	3	0	0	0	0
1517	0	0	3	3	0	0	0	0
1518	0	0	3	3	0	0	0	0
1519	0	0	4	3	0	0	0	0
1520	0	0	4	3	0	0	0	0
1521	0	0	5	3	0	0	0	0
1522	0	0	5	4	0	0	0	0
1523	0	0	5	4	0	0	0	0
1524	0	0	10	4	0	0	0	0
1525	0	0	11	4	0	0	0	0
1526	0	0	11	4	0	0	0	0
1527	0	0	11	4	0	0	0	0
1528	0	0	12	4	0	0	0	0
1529	0	0	12	4	0	0	0	0
1530	0	0	12	4	0	0	0	0
1531	0	0	12	4	0	0	0	0
1532	0	0	12	4	0	0	0	0
1533	0	0	13	5	0	0	0	0
1534	0	0	13	5	0	0	0	0
1535	0	0	14	5	0	0	0	0
1536	0	0	14	5	0	0	0	0
1537	0	0	15	5	0	0	0	0
1538	0	0	15	5	0	0	0	0
1539	0	0	15	5	0	0	0	0
1540	0	0	15	5	0	0	0	0
1541	0	0	16	5	0	0	0	0
1542	0	0	16	5	0	0	0	0
1543	0	0	16	5	0	0	0	0
1544	0	0	16	5	0	0	0	0
1545	0	0	16	5	0	0	0	0
1546	0	0	16	5	0	0	0	0
1547	0	0	16	5	0	0	0	0
1548	0	0	16	5	0	0	0	0
1549	0	0	16	5	0	0	0	0
1550	0	0	16	5	0	0	0	0
1551	0	0	16	5	0	0	0	0
1552	0	0	16	5	0	0	0	0
1553	0	0	16	5	0	0	0	0
1554	0	0	16	5	0	0	0	0
1555	0	0	16	5	0	0	0	0
1556	0	0	17	5	0	0	0	0
1557	0	0	17	5	0	0	0	0
1558	0	0	17	5	0	0	0	0
1559	0	0	18	5	0	0	0	0
1560	0	0	18	5	0	0	0	0
1561	0	0	18	5	0	0	0	0
1562	0	0	18	5	0	0	0	0
1563	0	0	18	5	0	0	0	0
1564	0	0	18	5	0	0	0	0
1565	0	0	19	5	0	0	0	0
1566	0	0	19	5	0	0	0	0
1567	0	0	19	5	0	0	0	0
1568	0	0	19	5	0	0	0	0
1569	0	0	19	5	0	0	0	0
1570	0	0	19	5	0	0	0	0
1571	0	0	19	5	0	0	0	0
1572	0	0	19	5	0	0	0	0
1573	0	0	19	5	0	0	0	0
1574	0	0	19	5	0	0	0	0
1575	0	0	19	5	0	0	0	0
1576	0	0	19	6	0	0	0	0
1577	0	0	19	6	0	0	0	0
1578	0	0	19	6	0	0	0	0
1579	0	0	19	6	0	0	0	0
1580	0	0	20	6	0	0	0	1
1581	0	0	20	6	0	0	0	1
1582	0	0	20	6	0	0	0	1
1583	0	0	20	6	0	0	0	1
1584	0	0	20	6	0	0	0	1
1585	0	0	20	6	0	0	0	1
1586	0	0	20	6	0	0	0	1
1587	0	0	20	6	0	0	0	1
1588	0	0	20	6	0	0	0	1
1589	0	0	20	6	0	0	0	1
1590	0	0	20	6	0	0	0	1
1591	0	0	20	6	0	0	0	1
1592	0	0	21	6	0	0	0	1
1593	0	0	21	6	0	0	0	1
1594	0	0	21	6	0	0	0	1
1595	0	0	21	6	0	0	0	1
1596	0	0	21	6	0	0	0	1
1597	0	0	21	6	0	0	0	1
1598	0	0	21	6	0	0	0	1
1599	0	0	21	6	0	0	0	1
1600	0	0	21	6	0	0	0	1
1601	0	0	21	6	0	0	0	1
1602	0	0	21	6	0	0	0	1
1603	0	0	21	6	0	0	0	1
1604	0	0	21	6	0	0	0	1
1605	0	0	21	6	0	0	0	1
1606	0	0	21	6	0	0	0	1
1607	1	0	21	6	0	0	0	1
1608	1	1	21	6	0	0	0	1
1609	1	1	21	6	0	0	0	1
1610	1	1	21	6	0	0	0	1
1611	1	1	21	6	0	0	0	1
1612	1	1	21	6	0	0	0	1
1613	1	1	21	6	0	0	0	1
1614	1	1	21	6	0	0	0	1
1615	1	1	21	6	0	0	0	1
1616	1	1	21	6	0	0	0	1
1617	1	1	21	6	0	0	0	1
1618	1	1	21	6	0	0	0	1
1619	1	1	21	7	0	0	0	1
1620	1	1	21	7	0	0	0	1
1621	1	1	21	7	0	0	0	1
1622	1	1	21	7	0	0	0	1
1623	2	1	21	7	0	0	0	2
1624	2	1	21	7	0	0	0	2
1625	2	1	22	7	0	0	0	2
1626	2	1	22	7	0	0	0	2
1627	3	1	22	7	0	0	0	2
1628	3	1	22	7	0	0	0	2
1629	3	1	22	7	0	0	0	2
1630	3	1	22	7	0	0	0	2
1631	3	1	22	7	0	0	0	2
1632	4	2	22	7	0	0	0	2
1633	4	2	22	7	0	0	0	2
1634	4	2	22	7	0	0	0	2
1635	4	2	22	7	0	0	0	2
1636	4	2	22	7	0	0	0	2
1637	4	2	22	7	0	0	0	2
1638	4	2	22	7	0	0	0	2
1639	4	2	22	7	0	0	0	2
1640	4	2	22	7	0	0	0	2
1641	4	2	22	7	0	0	0	2
1642	4	2	22	7	0	0	0	2
1643	4	2	22	7	0	0	0	2
1644	4	2	22	7	0	0	0	2
1645	4	2	22	7	0	0	0	2
1646	4	2	22	7	0	0	0	2
1647	4	2	22	7	0	0	0	2
1648	4	2	22	7	0	0	0	2
1649	4	2	22	7	0	0	0	2
1650	4	4	23	7	0	0	0	2
1651	4	4	23	7	0	0	0	2
1652	4	4	23	7	0	0	0	3
1653	4	4	23	7	0	0	0	3
1654	4	4	23	7	0	0	0	3
1655	5	4	23	7	0	0	0	3
1656	5	4	22	7	0	0	0	3
1657	5	4	22	6	0	0	0	3
1658	5	4	22	6	0	0	0	3
1659	5	4	22	6	0	0	0	3
1660	5	4	22	6	0	0	0	3
1661	5	4	22	6	0	0	0	3
1662	5	4	22	6	0	0	0	3
1663	5	4	22	6	0	0	0	3
1664	5	4	22	6	0	0	0	3
1665	5	5	22	6	0	0	0	3
1666	5	5	22	6	0	0	0	3
1667	5	5	22	6	0	0	0	4
1668	5	5	22	6	0	0	0	4
1669	5	5	22	6	0	0	0	4
1670	5	5	22	6	0	0	0	4
1671	5	5	22	6	0	0	0	4
1672	5	5	22	6	0	0	0	4
1673	5	5	22	6	0	0	0	4
1674	5	5	22	6	0	0	0	4
1675	5	5	22	6	0	0	0	4
1676	5	5	22	6	0	0	0	4
1677	5	5	22	6	0	0	0	4
1678	5	5	22	6	0	0	0	4
1679	5	5	22	6	0	0	0	4
1680	5	5	22	7	0	0	0	4
1681	5	5	22	7	0	0	0	4
1682	5	5	22	7	0	0	0	4
1683	5	5	22	7	0	0	0	4
1684	5	5	22	7	0	0	0	4
1685	5	5	22	7	0	0	0	4
1686	5	5	22	7	0	0	0	4
1687	5	5	22	7	0	0	0	4
1688	5	5	22	7	0	0	0	4
1689	5	5	22	7	0	0	0	4
1690	5	5	22	7	0	0	0	4
1691	5	5	22	7	0	0	0	4
1692	5	5	22	7	0	0	0	4
1693	6	5	22	7	0	0	0	4
1694	6	5	22	7	0	0	0	4
1695	6	5	22	7	0	0	0	4
1696	6	5	22	7	0	0	0	4
1697	6	5	22	7	0	0	0	4
1698	6	5	22	7	0	0	0	4
1699	6	5	22	7	0	0	0	4
1700	6	5	22	7	0	0	0	4
1701	6	5	22	7	0	0	0	4
1702	6	5	22	7	0	0	0	4
1703	6	5	22	7	0	0	0	4
1704	6	5	22	7	0	0	0	4
1705	6	5	22	7	0	0	0	4
1706	6	5	22	7	0	0	0	4
1707	6	5	22	7	0	0	0	4
1708	6	5	22	7	0	0	0	4
1709	6	5	22	7	0	0	0	4
1710	6	5	22	7	0	0	0	4
1711	6	5	22	7	0	0	0	4
1712	6	5	22	7	0	0	0	4
1713	6	5	22	7	0	0	0	4
1714	6	5	22	7	0	0	0	4
1715	6	6	22	7	0	0	0	4
1716	6	6	22	7	0	0	0	4
1717	6	6	22	7	0	0	0	4
1718	6	6	22	7	0	0	0	4
1719	6	6	22	7	0	0	0	4
1720	6	6	22	7	0	0	0	4
1721	6	6	22	7	0	0	0	4
1722	6	6	22	7	0	0	0	4
1723	6	6	22	7	0	0	0	4
1724	6	6	22	7	0	0	0	4
1725	6	6	22	7	0	0	0	4
1726	6	6	22	7	0	0	0	4
1727	6	6	22	7	0	0	0	4
1728	6	6	22	7	0	0	0	4
1729	6	6	22	7	0	0	0	4
1730	6	6	22	7	0	0	0	4
1731	6	6	22	7	0	0	0	4
1732	6	6	22	7	0	0	0	4
1733	6	6	22	7	0	0	0	4
1734	6	6	22	7	0	0	0	4
1735	6	6	22	7	0	0	0	4
1736	6	6	22	7	0	0	0	4
1737	6	6	22	7	0	0	0	4
1738	6	6	22	7	0	0	0	4
1739	6	6	22	7	0	0	0	4
1740	6	6	22	7	0	0	0	4
1741	6	6	22	7	0	0	0	4
1742	6	6	22	7	0	0	0	4
1743	6	6	22	7	0	0	0	4
1744	6	6	22	7	0	0	0	4
1745	6	6	22	7	0	0	0	4
1746	6	6	22	7	0	0	0	4
1747	6	6	22	7	0	0	0	4
1748	6	6	22	7	0	0	0	4
1749	6	6	22	7	0	0	0	4
1750	6	6	22	7	0	0	0	4
1751	6	6	22	7	0	0	0	4
1752	6	6	22	7	0	0	0	4
1753	6	6	22	7	0	0	0	4
1754	6	6	22	7	0	0	0	4
1755	6	6	22	7	0	0	0	4
1756	6	7	22	7	0	0	0	4
1757	6	7	22	7	0	0	0	4
1758	6	7	22	7	0	0	0	4
1759	6	7	22	7	0	0	0	4
1760	6	7	22	7	0	0	0	4
1761	6	7	22	7	0	0	0	4
1762	8	7	22	7	0	0	0	4
1763	9	6	22	7	0	0	0	4
1764	9	4	22	7	0	0	0	4
1765	9	4	22	7	0	0	0	4
1766	9	4	22	7	0	0	0	4
1767	9	4	22	7	0	0	0	4
1768	9	4	22	7	0	0	0	4
1769	9	4	22	7	0	0	0	4
1770	9	4	22	7	0	0	0	4
1771	9	4	22	7	0	0	0	4
1772	9	4	22	7	0	0	0	4
1773	9	4	22	7	0	0	0	4
1774	9	4	22	7	0	0	0	4
1775	9	4	22	7	0	0	0	4
1776	9	4	22	7	0	0	0	4
1777	9	4	22	7	0	0	0	4
1778	9	4	22	8	0	0	0	4
1779	9	4	22	7	0	0	0	4
1780	9	4	22	7	0	0	0	4
1781	9	4	22	7	0	0	0	4
1782	9	4	22	7	0	0	0	4
1783	10	4	22	7	0	0	0	4
1784	9	4	22	7	0	0	0	4
1785	9	4	22	7	0	0	0	4
1786	9	4	22	7	0	0	0	4
1787	9	4	22	7	0	0	0	4
1788	9	4	22	7	0	0	0	4
1789	9	4	22	7	0	0	0	4
1790	9	4	22	7	0	0	0	4
1791	9	4	22	7	0	0	0	4
1792	9	4	22	7	0	0	0	4
1793	9	4	22	7	0	0	0	4
1794	9	4	22	7	0	0	0	4
1795	9	3	22	7	0	0	0	4
1796	9	3	22	7	0	0	0	4
1797	10	3	22	7	0	0	0	4
1798	12	3	21	7	0	0	0	4
1799	12	3	21	7	0	0	0	4
1800	12	3	21	7	0	0	0	4
1801	12	3	21	7	0	0	0	4
1802	12	3	21	7	0	0	0	4
1803	12	3	21	7	0	0	0	4
1804	12	3	21	7	0	0	0	4
1805	13	2	21	7	0	0	0	4
1806	13	2	21	7	0	0	0	4
1807	13	2	21	7	0	0	0	3
1808	13	2	21	7	0	0	0	3
1809	13	2	21	7	0	0	0	3
1810	14	2	21	7	0	0	0	3
1811	14	1	21	7	0	0	0	3
1812	14	1	20	7	0	0	0	3
1813	14	1	20	7	0	0	0	3
1814	18	1	20	7	0	0	0	3
1815	18	0	20	7	0	0	0	3
1816	18	0	20	7	0	0	0	2
1817	18	0	20	7	0	0	0	2
1818	17	0	20	7	0	0	0	2
1819	17	0	19	7	0	0	0	2
1820	17	0	18	7	0	0	0	2
1821	17	0	17	7	0	0	0	2
1822	17	0	9	7	0	0	0	2
1823	17	0	9	5	0	0	0	2
1824	17	0	9	4	0	0	0	2
1825	17	0	8	4	0	0	0	2
1826	18	0	7	4	0	0	0	2
1827	19	0	7	4	0	0	0	2
1828	19	0	7	4	0	0	0	2
1829	20	0	6	4	0	0	0	2
1830	20	0	5	4	0	0	0	2
1831	20	0	5	4	0	0	0	2
1832	20	0	5	4	0	0	0	2
1833	20	0	5	4	0	0	0	2
1834	20	0	5	4	0	0	0	2
1835	20	0	5	4	0	0	0	2
1836	20	0	5	4	0	0	0	2
1837	20	0	5	4	0	0	0	2
1838	20	0	5	4	0	0	0	2
1839	20	0	5	4	0	0	0	2
1840	21	0	5	4	0	0	0	2
1841	21	0	5	4	0	0	0	2
1842	21	0	5	4	0	0	0	2
1843	21	0	5	4	0	0	0	2
1844	21	0	5	4	0	0	0	2
1845	21	0	5	4	0	0	0	2
1846	21	0	5	4	0	0	0	2
1847	21	0	5	4	0	0	0	2
1848	21	1	5	4	0	0	0	2
1849	21	1	5	4	0	0	0	2
1850	21	1	5	4	0	0	0	2
1851	21	1	5	4	0	0	0	2
1852	21	1	5	4	0	0	0	2
1853	21	1	5	4	0	0	0	2
1854	21	2	5	4	0	0	0	2
1855	21	2	5	4	0	0	0	2
1856	21	2	5	4	0	0	0	2
1857	24	2	5	4	0	0	0	2
1858	23	2	6	4	0	0	0	2
1859	23	2	6	4	0	0	0	2
1860	23	2	6	4	0	0	0	2
1861	24	2	6	4	0	0	0	2
1862	24	2	6	4	0	0	0	2
1863	24	2	5	4	0	0	0	2
1864	24	2	5	4	0	0	0	2
1865	24	2	5	4	0	0	0	2
1866	24	2	4	4	0	0	0	2
1867	24	2	4	4	0	0	0	2
1868	24	2	4	4	0	0	0	2
1869	24	2	4	4	0	0	0	2
1870	24	2	4	4	0	0	0	2
1871	24	2	4	4	0	0	0	2
1872	24	2	4	4	0	0	0	2
1873	24	2	4	4	0	0	0	2
1874	26	2	4	4	0	0	0	2
1875	26	2	4	4	0	0	0	2
1876	26	2	4	4	0	0	0	2
1877	26	2	4	4	0	0	0	2
1878	26	2	4	4	0	0	0	2
1879	26	2	4	5	0	0	0	2
1880	26	2	4	5	0	0	0	2
1881	26	4	4	5	0	0	0	2
1882	27	5	4	5	0	0	0	2
1883	27	5	4	5	0	0	0	2
1884	29	7	5	5	0	2	0	2
1885	29	7	5	6	1	7	0	2
1886	30	8	6	6	1	7	0	2
1887	31	10	6	6	1	7	0	2
1888	35	10	6	6	1	8	0	2
1889	35	11	6	6	1	8	0	2
1890	35	11	6	6	1	8	1	2
1891	36	11	6	6	1	9	1	2
1892	39	11	6	6	1	9	1	2
1893	40	12	6	6	1	9	1	2
1894	41	13	6	6	1	9	1	2
1895	43	15	6	6	1	9	1	2
1896	44	15	6	6	1	9	1	2
1897	44	15	6	6	1	9	1	2
1898	45	15	6	6	1	9	1	2
1899	46	15	5	6	1	11	1	2
1900	47	15	2	6	1	12	1	2
1901	47	15	2	6	1	12	1	2
1902	47	15	2	6	1	12	1	2
1903	48	16	2	6	1	12	1	2
1904	48	17	2	6	1	12	1	2
1905	48	17	2	6	1	12	2	2
1906	49	18	2	6	1	12	2	2
1907	49	18	2	6	1	12	2	2
1908	49	18	2	6	1	12	2	2
1909	49	18	2	6	1	12	2	2
1910	50	19	2	6	1	12	2	2
1911	50	19	2	6	1	12	2	2
1912	50	20	2	6	1	12	3	2
1913	50	20	2	6	1	12	3	2
1914	54	21	2	6	1	12	3	2
1915	55	21	2	6	1	8	3	2
1916	56	21	2	6	1	6	3	2
1917	56	21	2	6	1	3	3	2
1918	57	21	2	6	1	2	3	2
1919	57	21	2	6	1	1	3	2
1920	56	21	2	6	1	1	3	2
1921	51	21	2	6	1	1	3	2
1922	51	24	2	6	2	1	3	2
1923	55	26	2	6	3	0	3	2
1924	55	26	2	6	3	0	3	2
1925	55	26	2	6	3	0	3	2
1926	55	26	2	6	3	0	3	2
1927	55	26	2	6	3	0	3	2
1928	55	26	2	6	3	0	3	2
1929	55	26	2	6	3	0	3	2
1930	55	26	2	6	3	0	3	2
1931	55	26	2	6	3	0	3	2
1932	55	26	2	6	3	0	3	2
1933	54	26	2	6	3	0	3	2
1934	54	26	2	6	3	0	3	2
1935	54	26	2	6	3	0	3	2
1936	53	26	2	6	3	0	3	2
1937	53	26	2	6	3	0	2	2
1938	53	26	2	6	3	0	2	2
1939	53	26	2	6	3	0	2	2
1940	53	26	2	6	3	0	2	2
1941	54	26	2	6	3	0	2	2
1942	54	26	2	6	3	0	1	2
1943	54	26	2	6	3	0	0	2
1944	54	26	2	6	3	0	0	2
1945	54	26	2	6	3	0	0	2
1946	55	26	2	6	3	0	0	2
1947	54	24	2	6	3	0	0	2
1948	51	24	2	6	3	0	0	2
1949	48	24	2	6	3	0	0	2
1950	47	24	2	6	3	0	0	2
1951	47	24	2	6	3	0	0	2
1952	46	24	2	6	3	0	0	2
1953	45	24	2	6	3	0	0	2
1954	45	23	2	6	3	0	0	2
1955	45	21	2	6	3	0	0	2
1956	45	21	2	6	3	0	0	2
1957	44	19	2	6	3	0	0	2
1958	43	19	2	6	3	0	0	2
1959	44	18	2	6	3	0	0	2
1960	44	18	2	6	3	0	0	2
1961	41	4	2	6	2	0	0	2
1962	39	4	2	6	2	0	0	2
1963	36	3	2	6	0	0	0	1
1964	32	3	2	6	0	0	0	1
1965	30	3	2	6	0	0	0	1
1966	28	3	2	6	0	0	0	1
1967	24	3	2	6	0	0	0	1
1968	23	3	2	6	0	0	0	1
1969	20	3	1	6	0	0	0	1
1970	20	3	1	6	0	0	0	1
1971	18	3	1	6	0	0	0	1
1972	15	3	1	6	0	0	0	1
1973	15	3	1	6	0	0	0	1
1974	14	3	1	6	0	0	0	1
1975	13	3	1	5	0	0	0	0
1976	13	2	0	0	0	0	0	0
1977	12	2	0	0	0	0	0	0
1978	12	1	0	0	0	0	0	0
1979	10	1	0	0	0	0	0	0
1980	6	1	0	0	0	0	0	0
1981	4	0	0	0	0	0	0	0
1982	2	0	0	0	0	0	0	0
1983	2	0	0	0	0	0	0	0
1984	1	0	0	0	0	0	0	0
1985	0	0	0	0	0	0	0	0
1986	0	0	0	0	0	0	0	0
1987	0	0	0	0	0	0	0	0
1988	0	0	0	0	0	0	0	0
1989	0	0	0	0	0	0	0	0
1990	0	0	0	0	0	0	0	0
1991	0	0	0	0	0	0	0	0
1992	0	0	0	0	0	0	0	0
1993	0	0	0	0	0	0	0	0
1994	0	0	0	0	0	0	0	0
1995	0	0	0	0	0	0	0	0
1996	0	0	0	0	0	0	0	0
1997	0	0	0	0	0	0	0	0
1998	0	0	0	0	0	0	0	0
1999	0	0	0	0	0	0	0	0
2000	0	0	0	0	0	0	0	0
2001	0	0	0	0	0	0	0	0
2002	0	0	0	0	0	0	0	0
2003	0	0	0	0	0	0	0	0
2004	0	0	0	0	0	0	0	0
2005	0	0	0	0	0	0	0	0
2006	0	0	0	0	0	0	0	0
2007	0	0	0	0	0	0	0	0
2008	0	0	0	0	0	0	0	0
2009	0	0	0	0	0	0	0	0
2010	0	0	0	0	0	0	0	0
2011	0	0	0	0	0	0	0	0
2012	0	0	0	0	0	0	0	0
2013	0	0	0	0	0	0	0	0
2014	0	0	0	0	0	0	0	0
2015	0	0	0	0	0	0	0	0
2016	0	0	0	0	0	0	0	0
2017	0	0	0	0	0	0	0	0
2018	0	0	0	0	0	0	0	0
2019	0	0	0	0	0	0	0	0
2020	0	0	0	0	0	0	0	0
2021	0	0	0	0	0	0	0	0
2022	0	0	0	0	0	0	0	0

The Early Days of Colonization

Portugal was the first European nation to establish an overseas colony, beginning in the 1400s along the African coast and Atlantic islands. Spain followed soon after with its vast empire in the Americas.

An important milestone was the Treaty of Tordesillas (1494), which granted Spain and Portugal exclusive rights to explore, claim, and colonize along an agreed meridian. Backed by royal patronage and emerging maritime technology, Portugal built trading outposts from Brazil to the Indian Ocean, while Spain established vast territorial colonies across the Americas through conquest, settlement, and resource extraction.

By the early 1600s, Britain, France, and the Netherlands had joined the race, creating colonies in North America, the Caribbean, and Asia. This competition fueled centuries of maritime exploration and conflict, laying the groundwork for global trade and cultural exchange.

Unfortunately, colonization also brought about exploitation and displacement, characterized by the seizure of land and resources, forced labor, and the disruption of indigenous peoples.

Decolonization and the End of Empire

After World War II, global power shifted. European empires were financially drained and politically weakened, losing the capacity to control their vast overseas territories. Meanwhile, rising nationalist movements across Asia, Africa, and the Middle East pushed for independence.

A clear example is India’s independence from Britain in 1947, which became a catalyst for global decolonization. Britain was exhausted after World War II, and with growing independence movements led by Mahatma Gandhi, the British government was forced to concede sovereignty.

Between 1945 and the late 20th century, the number of European-controlled colonial territories declined dramatically, marking the end of formal empire building. Dozens of former colonies across Asia, Africa, and the Middle East gained independence during this period.

What remains today are a small number of overseas territories—such as islands and enclaves—administered by European states under special constitutional arrangements. These territories generally have significant local autonomy and are no longer considered colonies in the traditional sense, though debates over self-determination persist in some cases.

Learn More on the Voronoi App

If you enjoyed today’s post, check out The State of Global Democracy on Voronoi, the new app from Visual Capitalist.

2025-12-14 05:10:58

As generative AI tools like Midjourney become mainstream for creating visual content, a fascinating question arises: whose artistic styles are AI users borrowing from the most?

To find out, Kapwing, in partnership with NeoMam Studios, analyzed the Midjourney Discord to see how many times popular artists, architects, and directors were named in close to five million user prompts. This dataset reveals which creatives are influencing the aesthetics of AI-generated images and videos today.

Here are the top names across a few different categories.

Top Architects Used in Visual AI Prompts

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Alphonse Mucha, the Czech Art Nouveau painter, leads the pack with over 230,000 mentions, which is more than triple any other artist.

Mucha is followed by Rembrandt (128,143) and Leonardo da Vinci (61,259), indicating a strong user preference for foundational techniques in light, anatomy, and composition. This suggests that even in the age of AI, classical mastery remains a benchmark for aesthetic credibility and visual coherence.

Top Architects Used in Visual AI Prompts

Among architects, one name clearly stands above the rest: Zaha Hadid. Her futuristic, fluid forms have inspired over 63,000 prompts—more than the next six architects combined. Frank Lloyd Wright and Tadao Ando follow, highlighting enduring interest in organic and minimalist design philosophies.

Top Film Directors Used in Visual AI Prompts

Filmmakers are also popular choices in visual storytelling prompts. Wes Anderson leads with 92,378 prompt mentions, thanks to his distinct color palettes and symmetrical compositions. Tim Burton ranks second at 57,000, with other auteurs like Roger Deakins, Christopher Nolan, and Guillermo del Toro rounding out the top 10.

Distinctiveness Encourages Imitation

While we currently don’t know what people are prompting across all AI platforms, this Midjourney data gives us a fascinating peek at what inspires people in their own creative pursuits.

Whether it’s the ornamental elegance of Mucha, the futuristic forms of Hadid, or the stylized symmetry of Anderson, AI-generated content today draws heavily from artists with instantly recognizable and conceptually rich visual languages—regardless of era.

Learn More on the Voronoi App

Looking for more insights on how people are using AI tools like ChatGPT? See our data dive here: What do people actually use ChatGPT for?

2025-12-14 02:22:03

Charted: Substance Use Among Young Adults in the U.S.

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Substance use among young Americans has shifted significantly over the past decade, with cannabis and nicotine vaping emerging as major trends.

This infographic shows what substances young adults (ages 19–30) used in 2024, using the latest data from research by the University of Michigan.

What Substances Are Young Adults Using in America?

While alcohol use remains prevalent among young adults, substances like nicotine, cannabis, and vaping products have seen sharp increases in recent years.

The table below shows the share of 19- to 30-year-olds who reported using each substance in 2024:

*Other drugs include hallucinogens, amphetamines, cocaine, sedatives, tranquilizers, and narcotics/opioids.

According to the study, nearly 81% of young adults used alcohol in the last 12 months, making it the most widely used substance by far.

Meanwhile, cannabis continues to trend upward, with 41% of young adults reporting use, double the rate from the early 2010s. Vaping is also widespread with 26% of young adults vaping nicotine, and 22% vaping cannabis, up from 14% in 2023.

Furthermore, nearly 37% of young adults used nicotine in some form, making it one of the most widely-used substances. Nicotine pouches saw the biggest year-over-year shift, with their use doubling to around 10% in 2024, reflecting their growing popularity as an alternative to smoking and vaping.

In terms of daily usage, 25% of young adults reported binge drinking, where they consumed five or more drinks in a row in the past two weeks. Among cannabis users, 11% reported daily cannabis use (>20 occasions in the last 30 days).

What’s Driving Substance Use?

Several factors influence the shifting substance habits of young Americans:

• Legalization of cannabis across many states has normalized its use.
• Vaping products are often perceived as less harmful than traditional smoking.
• Nicotine pouches are marketed as “smoke-free,” making them appealing to younger users.

At the same time, traditional cigarette use continues its decades-long decline, although 18% of young adults still report smoking in the past year.

Learn More on the Voronoi App

To learn more about this topic, see this infographic on alcohol use in U.S. teenagers on Voronoi.

2025-12-13 23:41:11

Countries with the Most Spoken Languages

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Language diversity varies around the world, shaped by geography, migration, and centuries of cultural development. Some countries are home to hundreds of distinct languages, often concentrated in small communities with deep historical roots.

This visualization highlights the countries with the most living languages in 2025. The data for this visualization comes from Ethnologue.

Papua New Guinea Leads the World

Papua New Guinea stands far above all other nations, with 841 living languages documented in 2025. Its rugged geography and isolated communities have allowed distinct languages to flourish over thousands of years. This level of linguistic diversity exceeds that of entire global regions, including Europe as a whole.

The country remains the world’s most concentrated hub of linguistic heritage.

Rank	Country	Living Languages
1	Papua New Guinea	841
2	Indonesia	721
3	Nigeria	538
4	India	459
5	United States	364
6	Australia	320
7	China	308
8	Mexico	304
9	Cameroon	281
10	Brazil	240

Indonesia and Nigeria Follow as Multilingual Giants

Indonesia ranks second with 721 languages, spread across its vast network of islands. Geographic separation and longstanding local cultures help maintain linguistic variety across the archipelago.

Nigeria follows with 538 languages, reflecting its long-standing regional identities.

Large, Culturally Diverse Nations Also Rank High

India, the United States, and Australia each host hundreds of living languages.

In India, linguistic diversity is tied to deep historical traditions and regional identities.

Despite English being the dominant language in the U.S.—and Spanish serving as a strong second-most spoken language—the country has 364 living languages, including nearly 200 Indigenous ones.

Australia’s linguistic landscape is shaped by its Aboriginal languages and multicultural migration patterns.

Learn More on the Voronoi App

If you enjoyed today’s post, check out Ranked: Countries Seeing the Fastest Growth in Migrant Populations on Voronoi, the new app from Visual Capitalist.

2025-12-13 21:05:18

The Rise and Fall of Civilizations, on One Epic Visual Timeline

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

World history is extremely complicated and nuanced.

And yet, there is a very human desire to put all of it in one neat and tidy package—as if we can momentarily ignore what happens at the edges—disagreements, gray areas, and unresolved debates.

Creating a “single artifact” that sums up all of human history has been tried many times.

Ancient writer Eusebius had a go in the 4th century. Writer H.G. Wells tried it in 1920 with The Outline of History. More recently Yuval Noah Harari saw commercial success with Sapiens, which was framed as distilling human progress into one book.

Enter: The Histomap

Created in 1931 by John B. Sparks, Histomap is one of the world’s most famous historical visualizations.

It starts its journey 4,000 years ago in the Bronze Age, with familiar civilizations like the Egyptians, Greeks (Minoans), and Indians (Indus Valley). As you scroll through the visualization, more familiar names appear (Assyrians, Romans, Parthians, Huns, etc.) until you get to the nation states we know today.

As the reader scrolls through, you can see the rise and fall of these civilizations, imagining pivotal moments like the Battle of Thermopylae or the Battle of Waterloo. You can picture the famous figures like Augustus, Alexander, Genghis Khan, George Washington, Ashoka, or Cyrus the Great shaping world affairs.

It’s ambitious. It’s confident. It’s epic.

But is it accurate?

History is Dynamic and Always in Flux

The problem with this extremely confident take is that our understanding of history changes over time.

When Histomap was made, the world felt knowable and progress seemed inevitable. History was often told as a single, linear story driven by empires, leaders, and progress.

Over time, however, that confidence eroded.

New perspectives—from marginalized voices to systems like economics, climate, and technology—revealed history as fragmented, contested, and incomplete. We gained more data than ever before, but lost agreement on what matters most. History didn’t become messier; we simply stopped pretending it was tidy.

What’s “Wrong” With the Histomap?

Viewed in historical context, there is nothing inherently “wrong” with the Histomap.

Judged by modern standards, however, it has clear limitations.

• Civilizations are shown as clearly bounded units
  Example: Rome appears to end in 476 AD, despite Roman law, culture, and institutions continuing for centuries in Byzantium and Europe.
• Political power is prioritized over social influence
  Example: Territorial empires dominate the chart, while the spread of religions like Buddhism or Christianity is visually secondary.
• The perspective is Western-centric
  Example: European timelines are detailed and continuous, while African and Indigenous American civilizations are compressed or simplified.
• History is presented as linear and settled
  Example: Civilizations rise and fall cleanly, leaving little room for overlap, ambiguity, or disputed transitions.
• The visualization reflects 1931-era knowledge
  Example: Later discoveries and reinterpretations—such as Göbekli Tepe or revised views of the Indus Valley—are not represented.

The Urge Will Endure…

Despite the aforementioned limitations above, it seems unlikely that humans will be able to resist the urge to neatly package human history in the future.

We want to understand, and seeing history as one singular narrative helps us do that—even if it’s not perfect.

And for that reason, the Histomap, along with similar attempts to codify human history and progress, will continue to endure.