Key Takeaways
- Japan had 28.7% of its population aged 65 years or over in 2023
- The share of people aged 65+ in the European Union was 20.8% in 2021
- In the United States, 58.0 million people were aged 65+ in 2023
- OECD estimates that ageing will account for 1.5 percentage points of health spending growth by 2060 in some scenarios
- The OECD estimates that public spending on health accounted for 7.8% of GDP on average in 2022 across OECD countries
- In the US, Social Security benefits paid were $1.38 trillion in 2022
- In the US, registered nurse employment is projected to grow by 6% from 2022 to 2032
- In the US, home health aides employment is projected to grow by 22% from 2022 to 2032
- In the US, nursing assistants employment is projected to grow by 6% from 2022 to 2032
- In the EU, the number of people aged 80+ is expected to rise from 37 million (2016) to 60 million (2030) (European Commission JRC projection used in policy docs)
- WHO: 463 million adults were living with diabetes in 2019
- WHO: 10.0 million deaths were attributable to cancer in 2020 (aging-relevant disease burden)
- WHO: dementia affects about 10% of people aged 65 years and older
- OECD: public long-term care expenditure reached about 1.5% of GDP on average across OECD countries in 2021 (share of GDP)
- US Medicaid spending was $651 billion in 2022 (KFF data summary)
With ageing accelerating worldwide, governments face rising health and care costs as 65 plus shares climb fast.
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Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Emilia Santos. (2026, February 13). Aging Population Statistics. Gitnux. https://gitnux.org/aging-population-statistics
Emilia Santos. "Aging Population Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/aging-population-statistics.
Emilia Santos. 2026. "Aging Population Statistics." Gitnux. https://gitnux.org/aging-population-statistics.
Sources & references
35 datasets cited across this report · attribution is report-level
+14 additional datasets cited (not shown individually)

