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Charted: South Korea’s Rise to the World’s Oldest Society, 1950–2100

2026-02-21 06:05:01

Projected age distribution of South Korea from 1950 to 2100, showing a shrinking youth population and rapidly growing elderly population based on UN data.

Charted: South Korea’s Aging Population

Key Takeaways

  • Over 150 years, South Korea’s age structure shifts from youth-heavy to senior-dominated.
  • By 2100, nearly 40% of the population is projected to be 65 or older.

In 1950, South Korea’s population was overwhelmingly young. By 2100, nearly four in ten residents are projected to be 65 or older.

This visualization, created by Oscar Leo of DataCanvas using data from the UN World Population Prospects 2024, shows how South Korea’s age distribution evolves year by year across a 150-year span.

The result is one of the most dramatic demographic transformations ever recorded in a developed economy.

Age Distribution by Year (1950-2100P)

Below we can see how the population distribution changes each year between 1950 and the 2100 projection.

Year 0–9 10–19 20–29 30–39 40–49 50–59 60–69 70–79 80–89
1950 29.9% 22.3% 15.1% 12.0% 9.1% 6.5% 3.6% 1.1% 0.3%
1951 29.5% 23.1% 14.9% 11.9% 9.1% 6.4% 3.7% 1.1% 0.3%
1952 29.1% 23.7% 14.9% 11.9% 9.2% 6.2% 3.7% 1.1% 0.2%
1953 28.8% 23.9% 14.9% 12.0% 9.2% 6.1% 3.7% 1.1% 0.2%
1954 28.8% 23.8% 15.1% 12.1% 9.2% 6.0% 3.8% 1.1% 0.2%
1955 28.9% 23.4% 15.4% 12.1% 9.2% 5.9% 3.8% 1.2% 0.1%
1956 29.1% 23.1% 15.7% 12.1% 9.1% 5.8% 3.8% 1.2% 0.1%
1957 29.3% 22.6% 16.1% 12.0% 9.0% 5.8% 3.7% 1.3% 0.2%
1958 29.7% 21.9% 16.6% 11.9% 8.9% 5.8% 3.7% 1.3% 0.2%
1959 30.3% 21.2% 16.9% 11.8% 8.7% 5.8% 3.7% 1.4% 0.2%
1960 30.8% 20.6% 17.2% 11.7% 8.6% 5.9% 3.6% 1.4% 0.2%
1961 31.4% 20.1% 17.3% 11.6% 8.6% 5.9% 3.5% 1.5% 0.2%
1962 31.9% 19.8% 17.3% 11.5% 8.5% 5.9% 3.5% 1.5% 0.2%
1963 32.1% 19.8% 17.1% 11.4% 8.5% 5.9% 3.4% 1.6% 0.2%
1964 32.2% 20.0% 16.7% 11.5% 8.5% 5.9% 3.3% 1.6% 0.2%
1965 31.9% 20.6% 16.3% 11.7% 8.4% 5.9% 3.3% 1.6% 0.3%
1966 31.4% 21.3% 16.0% 11.9% 8.4% 5.9% 3.3% 1.5% 0.3%
1967 30.9% 21.8% 15.8% 12.1% 8.3% 5.9% 3.4% 1.5% 0.3%
1968 30.2% 22.4% 15.6% 12.3% 8.4% 5.9% 3.4% 1.6% 0.3%
1969 29.3% 23.1% 15.5% 12.5% 8.4% 5.8% 3.5% 1.6% 0.3%
1970 28.5% 23.8% 15.4% 12.6% 8.5% 5.8% 3.5% 1.6% 0.3%
1971 27.7% 24.4% 15.2% 12.7% 8.5% 5.8% 3.5% 1.6% 0.4%
1972 27.1% 24.7% 15.2% 12.9% 8.6% 5.9% 3.5% 1.6% 0.4%
1973 26.5% 25.0% 15.3% 13.0% 8.7% 6.0% 3.5% 1.6% 0.4%
1974 26.0% 25.0% 15.6% 12.9% 8.9% 6.0% 3.5% 1.6% 0.4%
1975 25.4% 24.9% 16.1% 12.7% 9.1% 6.1% 3.5% 1.6% 0.5%
1976 24.8% 24.7% 16.6% 12.6% 9.4% 6.2% 3.6% 1.7% 0.5%
1977 24.3% 24.5% 17.0% 12.6% 9.6% 6.2% 3.7% 1.7% 0.5%
1978 23.7% 24.1% 17.6% 12.6% 9.9% 6.3% 3.7% 1.7% 0.5%
1979 23.0% 23.6% 18.4% 12.6% 10.1% 6.4% 3.8% 1.7% 0.5%
1980 22.2% 23.3% 19.1% 12.6% 10.3% 6.5% 3.8% 1.7% 0.5%
1981 21.5% 23.0% 19.7% 12.6% 10.5% 6.5% 3.9% 1.8% 0.5%
1982 20.9% 22.8% 20.2% 12.7% 10.6% 6.6% 4.0% 1.8% 0.5%
1983 20.2% 22.5% 20.6% 12.8% 10.7% 6.7% 4.0% 1.9% 0.5%
1984 19.7% 22.1% 20.9% 13.2% 10.6% 6.9% 4.1% 1.9% 0.5%
1985 19.1% 21.8% 21.0% 13.8% 10.5% 7.1% 4.2% 2.0% 0.5%
1986 18.6% 21.5% 20.8% 14.4% 10.5% 7.4% 4.3% 2.0% 0.5%
1987 18.2% 21.1% 20.7% 14.9% 10.6% 7.6% 4.3% 2.1% 0.6%
1988 17.7% 20.6% 20.6% 15.4% 10.6% 7.8% 4.4% 2.1% 0.6%
1989 17.3% 20.0% 20.6% 16.1% 10.7% 8.0% 4.5% 2.2% 0.6%
1990 16.7% 19.5% 20.5% 16.9% 10.7% 8.2% 4.6% 2.2% 0.6%
1991 16.0% 19.2% 20.3% 17.6% 10.8% 8.4% 4.8% 2.3% 0.7%
1992 15.4% 18.8% 20.0% 18.2% 10.9% 8.7% 4.9% 2.4% 0.7%
1993 15.0% 18.4% 19.8% 18.6% 11.2% 8.8% 5.1% 2.5% 0.7%
1994 14.8% 17.8% 19.6% 18.9% 11.5% 8.9% 5.3% 2.6% 0.8%
1995 14.7% 17.2% 19.4% 18.9% 12.1% 8.8% 5.5% 2.7% 0.8%
1996 14.6% 16.7% 19.1% 18.8% 12.6% 8.8% 5.8% 2.7% 0.9%
1997 14.6% 16.3% 18.7% 18.7% 13.1% 8.9% 6.0% 2.8% 0.9%
1998 14.6% 15.9% 18.3% 18.5% 13.6% 9.1% 6.3% 2.9% 0.9%
1999 14.5% 15.4% 17.9% 18.3% 14.2% 9.2% 6.5% 3.1% 1.0%
2000 14.3% 14.9% 17.7% 18.2% 14.8% 9.2% 6.7% 3.2% 1.0%
2001 14.1% 14.4% 17.5% 18.0% 15.5% 9.3% 6.9% 3.3% 1.1%
2002 13.7% 14.0% 17.1% 18.0% 16.0% 9.4% 7.2% 3.5% 1.1%
2003 13.1% 13.9% 16.8% 17.8% 16.5% 9.7% 7.3% 3.7% 1.2%
2004 12.6% 13.8% 16.4% 17.7% 16.8% 10.0% 7.4% 3.9% 1.3%
2005 12.0% 13.8% 16.1% 17.6% 17.0% 10.6% 7.5% 4.1% 1.4%
2006 11.4% 13.9% 15.8% 17.4% 17.0% 11.1% 7.5% 4.4% 1.5%
2007 10.9% 13.9% 15.4% 17.2% 17.1% 11.6% 7.7% 4.6% 1.6%
2008 10.4% 13.9% 15.0% 17.0% 17.1% 12.1% 7.9% 4.9% 1.7%
2009 10.0% 13.9% 14.6% 16.7% 17.1% 12.7% 8.0% 5.1% 1.8%
2010 9.7% 13.8% 14.2% 16.5% 17.1% 13.3% 8.1% 5.3% 1.9%
2011 9.5% 13.5% 13.9% 16.2% 17.1% 14.0% 8.3% 5.5% 2.1%
2012 9.2% 13.0% 13.7% 16.0% 17.1% 14.6% 8.5% 5.7% 2.2%
2013 9.1% 12.4% 13.5% 15.8% 17.1% 15.2% 8.7% 5.9% 2.4%
2014 9.0% 11.8% 13.3% 15.5% 17.1% 15.7% 9.0% 6.0% 2.5%
2015 8.9% 11.2% 13.3% 15.2% 17.1% 16.0% 9.5% 6.1% 2.7%
2016 8.8% 10.7% 13.3% 15.0% 16.9% 16.2% 10.1% 6.2% 2.9%
2017 8.6% 10.3% 13.4% 14.7% 16.7% 16.3% 10.6% 6.3% 3.1%
2018 8.3% 9.9% 13.5% 14.4% 16.4% 16.4% 11.2% 6.5% 3.3%
2019 8.1% 9.6% 13.5% 14.1% 16.1% 16.6% 11.7% 6.7% 3.6%
2020 7.7% 9.3% 13.5% 13.8% 15.9% 16.6% 12.5% 6.9% 3.8%
2021 7.4% 9.0% 13.4% 13.5% 15.8% 16.5% 13.3% 7.1% 4.0%
2022 6.9% 8.9% 13.1% 13.3% 15.6% 16.6% 14.0% 7.2% 4.3%
2023 6.5% 8.9% 12.7% 13.3% 15.5% 16.6% 14.5% 7.5% 4.5%
2024 6.1% 8.9% 12.3% 13.3% 15.2% 16.7% 14.9% 7.8% 4.7%
2025 5.8% 8.9% 11.9% 13.4% 14.9% 16.7% 15.2% 8.3% 4.9%
2026 5.5% 8.9% 11.5% 13.5% 14.7% 16.6% 15.4% 8.9% 5.1%
2027 5.3% 8.7% 11.2% 13.6% 14.5% 16.4% 15.6% 9.4% 5.3%
2028 5.1% 8.5% 10.9% 13.7% 14.3% 16.2% 15.8% 9.9% 5.5%
2029 5.0% 8.3% 10.7% 13.7% 14.1% 16.0% 16.0% 10.5% 5.8%
2030 5.0% 8.0% 10.4% 13.6% 13.8% 15.8% 16.0% 11.2% 6.0%
2031 5.0% 7.6% 10.3% 13.5% 13.5% 15.7% 16.1% 12.0% 6.2%
2032 5.0% 7.2% 10.3% 13.2% 13.4% 15.6% 16.2% 12.6% 6.5%
2033 5.1% 6.8% 10.3% 12.8% 13.3% 15.5% 16.3% 13.1% 6.8%
2034 5.1% 6.5% 10.3% 12.4% 13.3% 15.3% 16.4% 13.5% 7.2%
2035 5.1% 6.2% 10.3% 12.0% 13.5% 15.1% 16.5% 13.8% 7.6%
2036 5.1% 5.8% 10.3% 11.6% 13.6% 14.9% 16.4% 14.1% 8.1%
2037 5.1% 5.6% 10.2% 11.3% 13.7% 14.8% 16.3% 14.3% 8.7%
2038 5.1% 5.5% 10.0% 11.0% 13.8% 14.6% 16.1% 14.6% 9.2%
2039 5.1% 5.4% 9.8% 10.8% 13.9% 14.4% 16.0% 14.8% 9.8%
2040 5.1% 5.4% 9.5% 10.6% 13.9% 14.2% 15.9% 15.0% 10.5%
2041 5.1% 5.4% 9.1% 10.5% 13.8% 13.9% 15.9% 15.1% 11.2%
2042 5.0% 5.4% 8.7% 10.5% 13.5% 13.8% 15.8% 15.3% 11.9%
2043 5.0% 5.5% 8.3% 10.5% 13.1% 13.8% 15.8% 15.5% 12.5%
2044 5.0% 5.5% 8.0% 10.5% 12.8% 13.9% 15.6% 15.7% 13.0%
2045 5.1% 5.6% 7.6% 10.6% 12.4% 14.1% 15.4% 15.8% 13.4%
2046 5.1% 5.6% 7.3% 10.6% 12.0% 14.3% 15.3% 15.8% 13.9%
2047 5.1% 5.6% 7.1% 10.5% 11.7% 14.5% 15.3% 15.8% 14.4%
2048 5.1% 5.6% 7.0% 10.4% 11.5% 14.6% 15.2% 15.7% 15.0%
2049 5.1% 5.6% 6.9% 10.1% 11.3% 14.7% 15.0% 15.6% 15.5%
2050 5.1% 5.6% 6.9% 9.9% 11.1% 14.8% 14.8% 15.7% 16.1%
2051 5.1% 5.6% 7.0% 9.5% 11.0% 14.7% 14.7% 15.7% 16.7%
2052 5.1% 5.6% 7.0% 9.1% 11.0% 14.5% 14.6% 15.8% 17.2%
2053 5.1% 5.7% 7.1% 8.7% 11.1% 14.2% 14.6% 15.8% 17.7%
2054 5.0% 5.7% 7.2% 8.4% 11.2% 13.8% 14.8% 15.7% 18.1%
2055 4.9% 5.7% 7.3% 8.1% 11.3% 13.5% 15.1% 15.7% 18.5%
2056 4.9% 5.8% 7.3% 7.8% 11.4% 13.1% 15.4% 15.6% 18.7%
2057 4.8% 5.8% 7.4% 7.5% 11.4% 12.8% 15.7% 15.6% 19.0%
2058 4.7% 5.9% 7.4% 7.4% 11.2% 12.6% 15.9% 15.6% 19.2%
2059 4.6% 5.9% 7.4% 7.4% 11.0% 12.5% 16.1% 15.5% 19.5%
2060 4.6% 5.9% 7.4% 7.4% 10.8% 12.3% 16.2% 15.4% 19.9%
2061 4.5% 5.9% 7.5% 7.5% 10.4% 12.2% 16.3% 15.3% 20.4%
2062 4.5% 5.9% 7.5% 7.6% 10.0% 12.4% 16.0% 15.3% 20.8%
2063 4.5% 5.9% 7.5% 7.7% 9.6% 12.5% 15.7% 15.5% 21.1%
2064 4.5% 5.8% 7.6% 7.8% 9.2% 12.6% 15.4% 15.7% 21.4%
2065 4.5% 5.8% 7.7% 7.9% 8.8% 12.8% 15.0% 16.1% 21.5%
2066 4.6% 5.7% 7.7% 8.0% 8.5% 12.9% 14.7% 16.4% 21.6%
2067 4.6% 5.6% 7.8% 8.0% 8.3% 12.9% 14.4% 16.8% 21.7%
2068 4.7% 5.5% 7.9% 8.1% 8.1% 12.7% 14.2% 17.1% 21.8%
2069 4.7% 5.4% 7.9% 8.1% 8.1% 12.5% 14.0% 17.3% 21.9%
2070 4.8% 5.4% 8.0% 8.1% 8.1% 12.2% 13.9% 17.5% 22.1%
2071 4.8% 5.3% 8.0% 8.2% 8.2% 11.8% 13.8% 17.5% 22.3%
2072 4.9% 5.3% 8.0% 8.2% 8.3% 11.4% 14.0% 17.3% 22.7%
2073 5.0% 5.3% 7.9% 8.3% 8.5% 10.9% 14.1% 17.0% 23.1%
2074 5.0% 5.3% 7.9% 8.3% 8.6% 10.5% 14.3% 16.7% 23.5%
2075 5.1% 5.3% 7.8% 8.4% 8.7% 10.0% 14.4% 16.3% 23.9%
2076 5.1% 5.4% 7.7% 8.5% 8.8% 9.7% 14.6% 15.9% 24.3%
2077 5.2% 5.4% 7.6% 8.6% 8.9% 9.4% 14.6% 15.7% 24.7%
2078 5.3% 5.5% 7.5% 8.7% 8.9% 9.3% 14.4% 15.5% 25.0%
2079 5.3% 5.6% 7.4% 8.7% 9.0% 9.2% 14.2% 15.3% 25.3%
2080 5.4% 5.6% 7.3% 8.8% 9.0% 9.2% 13.9% 15.2% 25.6%
2081 5.4% 5.7% 7.3% 8.8% 9.1% 9.4% 13.4% 15.1% 25.9%
2082 5.5% 5.8% 7.2% 8.8% 9.1% 9.5% 12.9% 15.3% 26.0%
2083 5.5% 5.9% 7.2% 8.7% 9.2% 9.6% 12.4% 15.5% 26.0%
2084 5.5% 5.9% 7.2% 8.6% 9.3% 9.8% 11.9% 15.7% 26.0%
2085 5.5% 6.0% 7.3% 8.6% 9.4% 9.9% 11.4% 15.9% 26.0%
2086 5.6% 6.1% 7.3% 8.4% 9.4% 10.1% 11.0% 16.1% 26.0%
2087 5.6% 6.1% 7.4% 8.3% 9.5% 10.1% 10.7% 16.1% 26.1%
2088 5.6% 6.2% 7.5% 8.2% 9.6% 10.2% 10.5% 15.9% 26.2%
2089 5.5% 6.3% 7.6% 8.1% 9.7% 10.3% 10.5% 15.7% 26.3%
2090 5.5% 6.3% 7.6% 8.0% 9.8% 10.3% 10.6% 15.4% 26.5%
2091 5.5% 6.4% 7.7% 8.0% 9.8% 10.4% 10.7% 14.9% 26.7%
2092 5.5% 6.5% 7.8% 7.9% 9.8% 10.4% 10.9% 14.3% 26.9%
2093 5.5% 6.5% 7.9% 7.9% 9.7% 10.5% 11.1% 13.7% 27.1%
2094 5.5% 6.5% 8.0% 7.9% 9.7% 10.6% 11.3% 13.2% 27.3%
2095 5.5% 6.6% 8.1% 8.0% 9.6% 10.7% 11.4% 12.7% 27.5%
2096 5.5% 6.6% 8.1% 8.0% 9.4% 10.8% 11.5% 12.3% 27.7%
2097 5.5% 6.6% 8.2% 8.1% 9.3% 11.0% 11.6% 11.9% 27.8%
2098 5.5% 6.6% 8.3% 8.2% 9.1% 11.1% 11.7% 11.8% 27.7%
2099 5.5% 6.5% 8.4% 8.3% 9.0% 11.1% 11.8% 11.7% 27.6%
2100 5.6% 6.5% 8.5% 8.4% 8.9% 11.2% 11.8% 11.8% 27.3%

The shift is stark. In 1960, children aged 0–9 made up over 30% of the population.

By 2100, that figure is projected to fall to just 5.5%, while those aged 80 and over surge into double digits.

From Youthful Boom to Demographic Bust

In the decades following the Korean War, South Korea had a classic population pyramid: a wide base of young people and relatively few elderly citizens. In 1970, nearly 29% of the population was under 10 years old.

Fast forward to today, and the structure has inverted. Persistently low fertility—frequently cited as the lowest in the world—has led to a shrinking base of young people. This trend is frequently described as a “demographic meltdown,” driven by high housing costs, intense education pressures, and shifting social norms.

An Economy Growing Older

By 2050, people aged 60 and older are projected to account for roughly 40% of the population. The 80–89 and 90+ cohorts grow especially quickly in the second half of the century.

This has major economic implications. A smaller working-age population must support a rapidly expanding elderly population, pushing up the old-age dependency ratio. As we’ve explored in our breakdown of the top economies by old-age dependency, countries with aging populations face rising pension and healthcare burdens, as well as slower potential growth.

Labor shortages, fiscal strain, and intergenerational inequality are likely to intensify unless offset by higher productivity, immigration, or policy reform.

A Small Baby Bump: A Turning Point?

After years of record-low fertility, South Korea has recently seen a modest increase in births. While still far below replacement level, even a small shift is notable after such a prolonged decline.

Whether this “baby bump” signals a sustained recovery or merely a temporary fluctuation remains to be seen. For now, long-term projections continue to point toward a much older, and smaller, South Korea by the end of the century.

Mapped: The U.S. Cities at Risk of Sinking

2026-02-21 00:16:00

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Mapped: The U.S. Cities at Risk of Sinking

   

Key Takeaways

  • 25 out of the top 28 major U.S. cities are experiencing land subsidence, creating hidden but growing property risk.
  •        
  • Houston, Fort Worth, Dallas, New York, and Chicago are all sinking at a rate of over 2 mm per year.
  •        
  • Even slow, millimeter scale sinking can drive long term infrastructure damage and insurability challenges.
  •        

Across the United States, the ground beneath many major cities is gradually subsiding. Research published in Nature Cities shows that 25 of the 28 largest U.S. urban areas are sinking, a trend with serious implications for infrastructure durability, flood risk, and long-term resilience.

Created in partnership with Inigo, this visualization maps the major U.S. cities most at risk of sinking.

Why U.S. Cities Are Slowly Sinking

In coastal cities such as San Diego and New York, subsidence amplifies sea level rise and leaves communities more exposed to storm surge and tidal flooding. Inland cities face different pressures. In places like Houston, Phoenix, and Denver, groundwater extraction and soil compaction accelerate vertical land movement.

Because subsidence happens gradually, it often goes unnoticed. Still, Houston, Fort Worth, Dallas, New York, and Chicago are all sinking by more than 2.0 mm per year. Even small drops in elevation can strain pipelines, damage roads, and weaken building foundations.

City State Vertical land movement (mm/year)
Houston Texas -5.2
Fort Worth Texas -4.4
Dallas Texas -3.8
New York New York -2.4
Chicago Illinois -2.3
Columbus Ohio -1.9
Seattle Washington -1.8
Detroit Michigan -1.7
Denver Colorado -1.7
Charlotte North Carolina -1.5
Indianapolis Indiana -1.4
Washington District of Columbia -1.3
Oklahoma City Oklahoma -1.3
Nashville Tennessee -1.1
San Antonio Texas -1.1
San Diego California -1.1
Portland Oregon -0.9
San Francisco California -0.9
Phoenix Arizona -0.8
Las Vegas Nevada -0.8
Austin Texas -0.8
El Paso Texas -0.8
Philadelphia Pennsylvania -0.7
Los Angeles California -0.7
Boston Massachusetts -0.5

Many other major cities, including Seattle, Detroit, and Denver, are sinking at rates between 1.5 and 2.0 mm per year.

A Growing Blind Spot in Property Risk

Although subtle, subsidence affects millions of people and tens of thousands of buildings, many of which sit in high damage risk zones. As elevation changes accumulate, mitigation and adaptation costs rise, often after damage has already occurred.

For property risk professionals, this data highlights an important reality. Climate risk does not move in only one direction. In some cities, the threat is not just rising water levels, but the ground itself sinking beneath critical infrastructure and assets.

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Explore the data behind emerging global property risks.

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Ranked: The Companies Holding the Most Cash in the World

2026-02-20 22:47:34

See more visuals like this on the Voronoi app.

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Ranked: The Companies Holding the Most Cash in the World

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.

Key Takeaways

  • Financials dominate the list—13 of the top 50 are financial services firms.
  • Berkshire Hathaway is the clear outlier, sitting on a record $382B, the largest cash position in its history—more than Microsoft, Alphabet, and Amazon combined.

The cash that companies hold is important for paying employees, funding operations, and as a measure of financial health.

This chart shows the 50 companies with the largest cash holdings, using data from TradingView to highlight who is sitting on the largest war chests.

This metric captures a company’s most liquid assets: cash plus short-term securities like T-bills that typically mature within a year.

Which Companies Hold the Most Cash?

Berkshire Hathaway leads the rankings with an impressive $382 billion.

The data table below shows the top 50 companies worldwide with the largest cash and short-term securities holdings:

Rank Company Cash and short-term investments holdings (billions)
1 Berkshire Hathaway $381.7
2 CITIC Limited $171.5
3 Daiwa Securities Group $131.4
4 Alphabet $126.8
5 Amazon $126.3
6 Taiwan Semiconductor Manufacturing $97.8
7 Interactive Brokers Group $93.4
8 Microsoft $89.5
9 Charles Schwab $88.9
10 Meta Platforms $82.4
11 Volkswagen $76.9
12 PDD Holdings $69.5
13 Apple $66.9
14 NVIDIA $60.6
15 Tencent $59.2
16 Alibaba Group Holding $58.2
17 Saudi Aramco $56.0
18 Contemporary Amperex Technology $51.6
19 Toyota Motor $50.5
20 SBI Holdings $50.0
21 China State Construction Engineering $48.5
22 American Express $47.8
23 SoftBank Group $45.8
24 Tesla $44.5
25 China Mobile $43.8
26 Daou Technology $43.7
27 Hon Hai Precision Industry $42.5
28 CNPC Capital $41.9
29 Japan Securities Finance $41.0
30 PetroChina $40.7
31 Hong Kong Exchanges & Clearing $39.4
32 Fannie Mae $39.4
33 Stellantis $38.7
34 Ford Motor $38.5
35 International Holding Company $37.6
36 Intel $37.4
37 BP $36.8
38 Rakuten Group $36.0
39 CNOOC $35.8
40 Nomura Holdings $35.7
41 SAIC Motor $35.1
42 Honda Motor $30.9
43 Deutsche Boerse $30.6
44 General Motors $30.6
45 Shell $30.3
46 JD.com $29.6
47 Boeing $29.4
48 China Railway Group $28.6
49 TotalEnergies $28.3
50 Daou Data $26.8

Source: TradingView | Cash and Short-Term Investments | as of Feb 11, 2026

Following Berkshire are CITIC—a Chinese state-backed financial conglomerate—and Daiwa Securities Group, one of Japan’s biggest financial brokerages.

Big Tech rounds out the top five, with Alphabet holding $127 billion and Amazon holding $126 billion.

Why Buffett Holds So Much Cash

Among the top 50 companies, the Financials sector collectively holds the largest cash reserves at $1.2 trillion—partially driven by strict capital rules requiring banks to maintain large liquid buffers.

Berkshire Hathaway is different: its cash position is strategic, not regulatory.

After 12 straight quarters as a net seller of stocks, Buffett and the team have parked much of the company’s liquidity in short-term U.S. Treasury bills, implying that equity valuations look expensive.

The Oracle’s cash and cash equivalents as a percentage of total assets is at an all-time high—roughly 31% of total assets.

Historically, this has coincided with periods when he waits for a major economic or market dislocation before deploying capital as prices begin to mean-revert—quietly accumulating dry powder in the meantime.

Why Big Tech Holds So Much Cash

The Magnificent Seven: Alphabet, Amazon, Meta, Microsoft, Apple, Nvidia and Tesla collectively hold $597 billion—enough to buy most S&P 500 companies.

Traditionally, Big Tech companies are massive cash machines: high gross margins and scalable cost structures mean incremental revenue converts into cash quickly.

Despite spending heavily to build AI factories, they’ve used little of their cash reserves to finance them—opting instead for debt.

They hold large cash stockpiles both to fund acquisitions and guard against potential economic turmoil, such as threats from tariffs or geopolitical conflicts.

Learn More on the Voronoi App

To learn more about the world’s largest companies, check out this graphic on Voronoi.

Ranked: The World’s 50 Largest Economies, Including U.S. States

2026-02-20 20:47:15

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Column graphic showing U.S. states compare dot the world's largest economies by GDP in 2025.

Use This Visualization

The World’s 50 Largest Economies, Including U.S. States

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.

Key Takeaways

  • 19 U.S. states rank among the world’s 50 largest economies in 2025.
  • California ($4.30T) is now the world’s 4th-largest economy, ahead of Japan and India.
  • Texas ($2.94T) is larger than Italy and Russia; Florida’s economy is bigger than Australia’s.

The U.S. has the world’s largest economy at $30.6 trillion. But if you break it apart, individual states would rank among the world’s economic superpowers.

In 2025, 19 U.S. states place within the top 50 largest economies globally, according to IMF projections and U.S. Bureau of Economic Analysis (BEA) data.

California alone, with a $4.30 trillion economy, now ranks fourth in the world, ahead of Japan and India. Texas and New York also outperform entire G7 nations.

This graphic compares countries and U.S. states side by side, revealing just how economically powerful America’s largest states have become.

Where U.S. States Rank vs. the Largest Economies in 2025

Below, we break down the economic output of U.S. states compared to the world’s largest economies:

Rank Country/ State Entity Type GDP 2025
1 🇺🇸 United States Country $30.62T
2 🇨🇳 China Country $19.40T
3 🇩🇪 Germany Country $5.01T
4 🇺🇸 California U.S. State $4.30T
5 🇯🇵 Japan Country $4.28T
6 🇮🇳 India Country $4.13T
7 🇬🇧 United Kingdom Country $3.96T
8 🇫🇷 France Country $3.36T
9 🇺🇸 Texas U.S. State $2.94T
10 🇮🇹 Italy Country $2.54T
11 🇷🇺 Russia Country $2.54T
12 🇺🇸 New York U.S. State $2.50T
13 🇨🇦 Canada Country $2.28T
14 🇧🇷 Brazil Country $2.26T
15 🇪🇸 Spain Country $1.89T
16 🇲🇽 Mexico Country $1.86T
17 🇰🇷 South Korea Country $1.86T
18 🇺🇸 Florida U.S. State $1.85T
19 🇦🇺 Australia Country $1.83T
20 🇹🇷 Türkiye Country $1.57T
21 🇮🇩 Indonesia Country $1.44T
22 🇳🇱 Netherlands Country $1.32T
23 🇸🇦 Saudi Arabia Country $1.27T
24 🇺🇸 Illinois U.S. State $1.22T
25 🇺🇸 Pennsylvania U.S. State $1.07T
26 🇵🇱 Poland Country $1.04T
27 🇨🇭 Switzerland Country $1.00T
28 🇺🇸 Ohio U.S. State $979.1B
29 🇺🇸 Georgia U.S. State $935.8B
30 🇺🇸 North Carolina U.S. State $905.2B
31 🇺🇸 Washington U.S. State $903.7B
32 🇺🇸 New Jersey U.S. State $896.4B
33 🇹🇼 Taiwan Country $884.4B
34 🇺🇸 Massachusetts U.S. State $828.3B
35 🇺🇸 Virginia U.S. State $807.3B
36 🇺🇸 Michigan U.S. State $738.3B
37 🇧🇪 Belgium Country $717.0B
38 🇮🇪 Ireland Country $708.8B
39 🇦🇷 Argentina Country $683.4B
40 🇸🇪 Sweden Country $662.3B
41 🇮🇱 Israel Country $610.8B
42 🇺🇸 Arizona U.S. State $604.3B
43 🇺🇸 Tennessee U.S. State $596.6B
44 🇺🇸 Colorado U.S. State $589.9B
45 🇺🇸 Maryland U.S. State $574.4B
46 🇸🇬 Singapore Country $574.2B
47 🇦🇪 UAE Country $569.1B
48 🇦🇹 Austria Country $566.5B
49 🇹🇭 Thailand Country $558.6B
50 🇺🇸 Indiana U.S. State $551.8B

In 2024, California officially overtook Japan to become the world’s fourth-largest economy.

Tech, real estate, and finance sectors have powered the state’s economy, with real GDP per capita rising 60% between 2000 and 2024. With one of the fastest growth rates overall, it far exceeds the U.S. average of 37% over the same period.

Texas, ranked ninth, commands a $2.94 trillion economy. The Lone Star State is bigger than both Italy ($2.54 trillion) and Russia ($2.54 trillion), driven by its growing population, economic strength, and energy industry.

With a $2.50 trillion economy, New York state falls in 12th place, eclipsing Canada’s entire economy. Meanwhile, Illinois’ GDP of $1.22 trillion is roughly equivalent to Saudi Arabia ($1.27 trillion), the world’s second-largest producer of oil.

Learn More on the Voronoi App

To learn more about this topic, check out this graphic on every state’s share of U.S. GDP.

Charted: The Escalating Destruction of U.S. Wildfires

2026-02-20 06:06:23

Published

on

The Escalating Destruction of U.S. Wildfires

   

Key Takeaways

  • Wildfires in the United States are becoming more destructive as climate conditions intensify and development expands into fire-prone areas.
  •        
  • The area burned by wildfires has trended upward, with many of the most severe seasons occurring in the past decade.
  •        
  • In 2024, nearly 9 million acres were burned, far exceeding the 40-year average of approximately 5 million acres.
  •        

Wildfires across the United States are becoming more destructive and more costly. Data from the National Interagency Fire Center shows that the annual area burned has increased over time, with several of the most severe wildfire seasons on record occurring within the past decade.

Created in partnership with Inigo, this visualization provides visual context for the rising impact of U.S. wildfires.

Wildfires Are Burning Hotter and Spreading Wider

Across the country, rising temperatures, prolonged droughts, and stronger winds are intensifying fire behavior, even as housing development pushes further into fire-prone areas.

In January 2025 alone, California wildfires burned 64,038 acres, the third-highest January total on record. The figure shows that extreme fire conditions are no longer limited to peak summer months.

Year Acres Burned
Jan.-Oct. 2025 4,711,179
2024 8,924,884
2023 2,693,910
2022 7,577,183
2021 7,125,643
2020 10,122,336
2019 4,664,364
2018 8,767,492
2017 10,026,086
2016 5,509,995
2015 10,125,149
2014 3,595,613
2013 4,319,546
2012 9,326,238
2011 8,711,367
2010 3,422,724
2009 5,921,786
2008 5,292,468
2007 9,328,045
2006 9,873,745
2005 8,689,389
2004 8,097,880
2003 3,960,842
2002 7,184,712
2001 3,570,911
2000 7,393,493
1999 5,626,093
1998 1,329,704
1997 2,856,959
1996 6,065,998
1995 1,840,546
1994 4,073,579
1993 1,797,574
1992 2,069,929
1991 2,953,578
1990 4,621,621
1989 1,827,310
1988 5,009,290
1987 2,447,296
1986 2,719,162
1985 2,896,147
1984 1,148,409
1983 1,323,666

Although the most destructive wildfire years occurred across several decades, the broader pattern remains unmistakable. The long-term trend in acres burned is steadily rising.

In 2024, nearly 9 million acres burned, far exceeding the 40-year average of just over 5 million acres. Only two years in the past decade recorded fewer acres burned.

Why Exposure Is Compounding

The expanding overlap between people, property, and high-risk terrain is amplifying both human and economic exposure. Over the past decade, wildfires damaged one in four buildings that stood within a previous burn zone, highlighting how rebuilding in the same areas can magnify future losses.

Insurers, property owners, and policymakers can no longer treat wildfire risk as a regional issue confined to the Western states. It is a national challenge reshaping how communities build, insure, and recover. As climate volatility increases, understanding where fires are occurring and how risk is accumulating will be critical to managing future losses.

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Ranked: The World’s Most Harvested Crops

2026-02-20 03:08:14

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Ranked: The World’s Most Harvested Crops

Ranked: The World’s Most Harvested Crops

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.

Key Takeaways

  • Nearly 2 billion metric tons of sugar cane were harvested in 2024, making it the world’s most harvested crop.
  • Third-place finisher rice is the staple food for over half the world’s population.
  • Many of the world’s largest crops are used as much for animal feed and biofuels as for direct human consumption.

Nearly 2 billion metric tons of sugar cane are harvested globally each year, making it the most-produced crop on Earth by a wide margin.

This visualization highlights the scale of global crop production in 2024, showing how staple foods and key commercial crops compare. The data for this visualization is sourced from the Food and Agriculture Organization (FAO) of the United Nations.

While some top crops are dietary staples, others support large industries such as biofuels, sweeteners, and packaged foods.

The Main Crops Grown Each Year

Sugar cane stands as the dominant crop grown globally at 1.94 billion metric tons, far surpassing all other crops.

Maize follows at 1.22 billion tons, while rice and wheat—two of the world’s most essential food staples—come in at 820 million and 798 million tons, respectively.

Rank Crop Metric tons produced in 2024
1 Sugar cane 1,939,782,021
2 Maize (corn) 1,218,205,574
3 Rice 820,223,277
4 Wheat 798,481,711
5 Oil palm fruit 418,696,914
6 Soya beans 397,671,688
7 Potatoes 390,428,972
8 Cassava, fresh 341,905,934
9 Sugar beet 293,624,598
10 Tomatoes 188,498,383
11 Barley 141,996,861
12 Bananas 139,413,684
13 Onions and shallots, dry 108,260,011
14 Watermelons 104,959,426
15 Apples 97,880,076

Brazil is notably the top producer of both sugar cane and soybeans, while Eurasian giants like China, India, and Russia are the main wheat growers worldwide.

Lots of the crops in question have regional production hubs; soybeans, for example, tend to be produced in China, the U.S., and South American countries like Argentina, Brazil, and Paraguay.

Our Sweet Sugar Craze

More sugar cane is harvested in Brazil each year than in the next three largest annual producers. Sugar cane is not only processed into the table sugar you buy at the supermarkets, but also refined into biofuel, molasses, and other sweeteners.

Meanwhile, over 294 million tons of sugar beet were grown in 2024, accounting for roughly 20% of global sugar output. Sugar beet is grown specifically for sugar extraction and refined sugar.

The Corn Industry

Corn, also known internationally as maize, is the runner-up for global agricultural production, with the United States as the top grower worldwide. Most corn today, especially in the U.S., is harvested for use in animal feed or the production of biofuels such as ethanol. The U.S. has maintained large corn subsidies for over half a century.

The Corn Belt is a geographic region of the U.S. dominated by the corn industry, and is centered around the Midwestern state of Iowa. Today Iowa grows three times more corn than all of Mexico, the country where corn was first harvested in pre-Columbian times.

Learn More on the Voronoi App

If you enjoyed today’s post, check out The Big Four American Crops Compared to Entire Countries on Voronoi, the new app from Visual Capitalist.