Average financial assets in Sagamihara are about ¥17.14 million, but the age-specific figures change sharply—from about ¥5.89 million in the 50s to about ¥44.08 million in the 60s. Asset building is possible even when household income is relatively low among the six cities, but this extreme age gap does not allow us to declare that the city has unusually strong saving power.
Financial assets in Sagamihara by age (2019, households with 2+ members)
| Age of household head | Financial assets (¥1,000) | Approximate value |
|---|---|---|
| Average, all ages | 17,140 | About ¥17.14 million |
| 30–39 | 8,778 | About ¥8.78 million |
| 50–59 | 5,886 | About ¥5.89 million |
| 60–69 | 44,077 | About ¥44.08 million |
| 70–79 | 15,524 | About ¥15.52 million |
Figures for ages 40–49 are not published because of insufficient sample size.
An irregular jump from ¥5.89 million in the 50s to ¥44.08 million in the 60s
Households headed by people aged 30–39 average ¥8.778 million, those aged 50–59 ¥5.886 million, those aged 60–69 ¥44.077 million, and those aged 70–79 ¥15.524 million. The 40s are not published, and the age curve is not continuous.
The all-age average of ¥17.14 million is relatively low among the six cities, but the published figure for households in their 60s is high. This table cannot be read as “living in Sagamihara means you will have ¥44 million saved by your 60s.” Small samples and a skewed asset distribution require particular caution.
Separate the possibility of lower housing costs from sample variation
Sagamihara spans railway hubs such as Hashimoto and Sagami-Ono as well as more suburban districts and the Tsukui area. Some parts of the city may offer lower housing costs than Yokohama or Kawasaki. Long-term homeowners may therefore be able to accumulate financial assets by retirement even without especially high income.
There is no basis, however, for explaining the ¥44.08 million figure in the 60s through housing costs alone. Retirement payments, households with very large asset holdings, and sample-size effects may also be involved. Lower local living costs are a hypothesis; the published asset balance is what the table actually confirms.
How to read these figures
These asset statistics are averages and do not directly show medians or the distribution of assets. They cover households with two or more members, and real estate assets outside financial assets may not be included.
The article is organized primarily around figures from published statistics. Numerical values directly observable in the statistical tables should be distinguished from interpretations of background factors.
Summary: Asset building is possible in Sagamihara, but the 60s figure should not be generalized
Sagamihara averages about ¥17.14 million in financial assets, while the published figure for households in their 60s is about ¥44.08 million. But the large age-to-age swings mean these figures do not show the city's general saving power or a typical household.
- Average: about ¥17.14 million
- 30s: about ¥8.78 million; 50s: about ¥5.89 million
- 60s: about ¥44.08 million; 70s: about ¥15.52 million
- Do not confuse a possible lower-housing-cost background with sample-driven variation
Source: Published statistics listed in the Analysis notes at the end of this article
📊 Analysis notes
This article is based on the following statistical data.
- Statistics used:
- Statistics Bureau of Japan, National Survey of Family Income, Consumption and Wealth (Household Assets) (Table ID: 0003426527, view on e-Stat)
- Statistics Bureau of Japan, National Survey of Family Income, Consumption and Wealth (Household Income) (Table ID: 0003426439, view on e-Stat)
- Area: Sagamihara
- Year: 2019
- Data retrieved: June 6, 2026
- Notes: The article is organized primarily around figures from published statistics. Because asset distributions, household differences, and other factors outside the article also matter, numerical values directly observable in the statistical tables should be distinguished from interpretation.
Chart and table values have been independently aggregated and visualized from the statistical data above.
Table values have been organized from the statistical data above.