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This study aims to verify statistical trends of the vacancy rate of Housing and Land survey, which may be exaggerated due to the following reasons: 1. Vacant houses of Housing and Land survey are judged by appearance. 2. Vacancy rates in surveys by the Ministry of Land, Infrastructure, Transport and Tourism, and the municipality are lower than that in Housing and Land survey. 3. The vacancy rates obtained from census and SUUMO-ZENRIN data are lower than that in Housing and Land survey.

The Tokyo housing market is considered to be one of the fastest evolving markets in the world. In recent years, functions such as TV intercoms, bathroom dryers, system kitchens, and toilets with washlets, which are not often seen in European and US houses, have spread and become common in Japanese houses. Under such circumstances, the importance of various equipment ancillary to housing, together with the location and quality of the building, is increasingly a factor for determining the value of housing in Tokyo. This is because when a new product appears, the old product is ordered to be withdrawn from the market, or its commodity value is greatly depreciated. This study measured the economic value of improving the quality of housing with new equipment in the Tokyo rental housing market and clarified the extent of economic depreciation that is occurring due to obsolescence. According to the obtained results, new functions are being added sequentially to the Japanese rental housing according to the age of the building, and these functions are non-negligible in the determination of housing rent, even when compared with location and building structure. The effect of obsolescence due to the addition of new functions was roughly-5%.

Japan's population is decreasing, and there is a fierce competition among different municipalities for residents. However, it is not always clear what kind of policy will lead to population growth. In this study, we analyzed the relationship between results data, obtained through a resident satisfaction survey targeting approximately 180,000 people, and population data taken from basic resident registries. The results of this analysis are as follows. There was a strong correlation between resident satisfaction and population change. Each of the factors "image", "friendliness" and "lifestyle convenience" was positively correlated with population growth, while the factors "quietness/security" and "nature/sightseeing destination" were negatively correlated. "Cost of living", "convenience of transportation" and "public services" on the other hand, exhibited no significant relationship.

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