Financial-asset figures for households in their 30s are published for only three cities: about ¥8.78 million in Sagamihara, about ¥6.60 million in Kawasaki, and about ¥4.28 million in Tokyo's 23 wards. Sagamihara is highest among these three, but its small sample requires caution, and we cannot add estimated housing or childcare costs to turn this into a definitive six-city ranking.
Financial assets for ages 30–39 in 6 major Kanto cities (2019)
| City | Financial assets (¥1,000) | Approximate value | Data note |
|---|---|---|---|
| Sagamihara | 8,778 | About ¥8.78 million | Small-sample caution |
| Kawasaki | 6,598 | About ¥6.60 million | Relatively reliable |
| Tokyo special wards | 4,284 | About ¥4.28 million | Relatively reliable |
| Saitama City | Not published | — | Insufficient sample |
| Yokohama | Not published | — | Insufficient sample |
| Chiba City | Not published | — | Insufficient sample |
Among the three cities with published data: Sagamihara, Kawasaki, then Tokyo
Sagamihara records ¥8.778 million, Kawasaki ¥6.598 million, and Tokyo's 23 wards ¥4.284 million. The gap between Sagamihara and Tokyo's 23 wards is ¥4.494 million.
Saitama City, Yokohama, and Chiba City are not published, so only half of the six cities can be compared. Sagamihara's figure may also be affected by its small sample. For that reason, it should be described as a reference comparison among the three cities with published values, not as proof that Sagamihara ranks first among all six.
Young households in Kawasaki and Tokyo may have high income while still building assets
Kawasaki areas such as Musashi-Kosugi and Tokyo's 23 wards include many high-income dual-income households in their 30s, but this is also a stage when home purchases, rent, childcare, and education can create large outflows. In Sagamihara, housing costs may be lower outside railway hubs such as Hashimoto and Sagami-Ono.
The statistics used here, however, are not linked to city-level rent, mortgage, or childcare-cost data. Rather than estimating living costs and asserting a cause, it is more appropriate to say only that high income and the accumulation of financial assets can occur on different timelines.
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: Sagamihara is highest among the three published cities—not necessarily No. 1 among all six
Sagamihara is highest among the three cities with published figures, but this is not a definitive ranking across all six cities. Financial assets among younger households are also affected by the home-buying and child-rearing stages and do not necessarily follow the same ranking as income.
- Sagamihara: about ¥8.78 million
- Kawasaki: about ¥6.60 million
- Tokyo special wards: about ¥4.28 million
- Three cities are not published, and Sagamihara's small sample also requires caution
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)
- Area: Six major Kanto cities / Kanto region
- 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.