What this article shows

On average, Yokohama households hold about ¥6.12 million more in financial assets than Kawasaki households. Yet Kawasaki is higher in the 50s and 60s, while Yokohama is higher in the 70s. Because the advantage reverses by age, we separate observable differences from speculation rather than declaring one city universally better for retirement.

Financial assets in Yokohama vs. Kawasaki by age (2019)

Age of household headYokohama (¥1,000)Kawasaki (¥1,000)Difference (Kawasaki − Yokohama)
Average24,74918,626-6,123
30–39No data6,598
40–49No data9,246
50–5921,07033,918+12,848
60–6918,34022,158+3,818
70–7929,82919,206-10,623
Average -6,123 Difference (Kawasaki − Yokohama), ¥1,000
Ages 50–59 +12,848 Difference (Kawasaki − Yokohama), ¥1,000
Ages 60–69 +3,818 Difference (Kawasaki − Yokohama), ¥1,000

Kawasaki is higher in the 50s and 60s; Yokohama is higher in the 70s and overall

The average is ¥24.749 million in Yokohama and ¥18.626 million in Kawasaki, putting Yokohama ahead by ¥6.123 million. Among households aged 50–59, Kawasaki is higher by ¥12.848 million; among those aged 60–69, it is higher by ¥3.818 million.

Among households aged 70–79, Yokohama is higher by ¥10.623 million, reversing the pattern. Because Yokohama does not publish figures for households in their 30s and 40s, the two cities cannot be compared under identical conditions across every age group.

Kawasaki's high-income working households and Yokohama's older long-term homeowners differ by age composition

Reading the regional background

Kawasaki has attracted high-income dual-income households in their 30s through 50s to areas such as Musashi-Kosugi, while Tokyo-based jobs and technical employment within Kawasaki support income during the working years. Kawasaki's higher financial assets in the 50s and 60s may be consistent with the accumulation of those working households.

Yokohama's 18 wards contain many older long-term homeowner households, and its published financial assets are higher in the 70s. This table alone, however, cannot identify retirement payments, inheritance, housing costs, healthcare access, or other causes. What it confirms is the difference in financial-asset balances by age—not an overall ranking of retirement livability.

How to read these figures

Important notes

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: The retirement-asset leader changes by age

Key takeaway

Kawasaki has higher financial assets in the 50s and 60s, while Yokohama is higher in the 70s and in the all-age average. This financial-asset table alone cannot determine which city is better for retirement; housing, liabilities, pensions, healthcare, and transportation also need to be compared.

  • Yokohama is ¥6.123 million higher on average
  • Kawasaki is ¥12.848 million higher in the 50s
  • Kawasaki is also ¥3.818 million higher in the 60s
  • Yokohama is ¥10.623 million higher in the 70s

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)
  • Areas: Yokohama and Kawasaki
  • 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.