Land
Transactions: 428 records
- Median sale price
- JPY 12,000,000
- Median price per m²
- JPY 46,000/㎡
Valid prices: 428 records／Valid unit prices: 428 records
Shizuoka — Hamamatsu CityHamana-ku — property transactions and local prices
Based on published MLIT transaction data, Shizuoka — Hamamatsu CityHamana-ku transaction statistics are summarized below.
Period: 2021〜2025（Five recent completed years of published data）
Compare prices with another area
Compare with another municipality →
Compare two municipalities in the same prefecture using the same period and property type.
Median transaction prices over the past three completed years
2023〜2025 transactions are used for this calculation. The period differs from the five-year comparison.
Land and building
Transactions: 372 records
- Median sale price
- JPY 23,000,000
- Median price per m²
- —
Valid prices: 372 records／Valid unit prices: 0 records
Condominium
Transactions: 66 records
- Median sale price
- JPY 2,500,000
- Median price per m²
- —
Valid prices: 66 records／Valid unit prices: 0 records
Transaction history for five completed years
Compare yearly transaction counts and median reported unit prices by property type over the five most recent completed years. Categories are calculated separately.
| Year | Land (records / price per m²) | Land and building (records / price per m²) | Condominium (records / price per m²) |
|---|---|---|---|
| 2025 | 135 records／JPY 48,000/㎡ | 133 records／— | 15 records／— |
| 2024 | 164 records／JPY 39,000/㎡ | 110 records／— | 22 records／— |
| 2023 | 129 records／JPY 49,000/㎡ | 129 records／— | 29 records／— |
| 2022 | 146 records／JPY 46,000/㎡ | 121 records／— | 29 records／— |
| 2021 | 191 records／JPY 45,000/㎡ | 144 records／— | 37 records／— |
Transaction price trends over ten years
The land series uses median published price per square metre; the land-and-building and condominium series use median total sale price. Different categories and units are not combined. These are not repeat-sale price indices.
Land： — median price per m²
2016
JPY 37,000/㎡ （Valid: 256 records）
2017
JPY 41,000/㎡ （Valid: 210 records）
2018
JPY 42,000/㎡ （Valid: 208 records）
2019
JPY 38,000/㎡ （Valid: 173 records）
2020
JPY 39,000/㎡ （Valid: 182 records）
2021
JPY 45,000/㎡ （Valid: 191 records）
2022
JPY 46,000/㎡ （Valid: 146 records）
2023
JPY 49,000/㎡ （Valid: 129 records）
2024
JPY 39,000/㎡ （Valid: 164 records）
2025
JPY 48,000/㎡ （Valid: 135 records）
Land and building： — median sale price
2016
JPY 26,000,000 （Valid: 160 records）
2017
JPY 23,000,000 （Valid: 121 records）
2018
JPY 23,000,000 （Valid: 123 records）
2019
JPY 22,000,000 （Valid: 134 records）
2020
JPY 24,000,000 （Valid: 153 records）
2021
JPY 25,000,000 （Valid: 144 records）
2022
JPY 24,000,000 （Valid: 121 records）
2023
JPY 21,000,000 （Valid: 129 records）
2024
JPY 18,500,000 （Valid: 110 records）
2025
JPY 25,000,000 （Valid: 133 records）
Condominium： — median sale price
2016
JPY 2,000,000 （Valid: 38 records）
2017
JPY 450,000 （Valid: 38 records）
2018
JPY 5,300,000 （Valid: 22 records）
2019
JPY 4,000,000 （Valid: 19 records）
2020
JPY 5,500,000 （Valid: 31 records）
2021
JPY 4,600,000 （Valid: 37 records）
2022
JPY 3,000,000 （Valid: 29 records）
2023
JPY 2,700,000 （Valid: 29 records）
2024
JPY 1,750,000 （Valid: 22 records）
2025
JPY 6,300,000 （Valid: 15 records）
Explore transactions by year
- 2025 View transactions
- 2024 View transactions
- 2023 View transactions
- 2022 View transactions
- 2021 View transactions
Sources and methodology
Source: MLIT Real Estate Information Library property transaction data. We filter the data by category and independently calculate medians and transaction counts.
The median is the central observation when sorted by price (or the mean of the two central observations for even-sized samples). The reference periods differ for market-level figures, transaction history and price trends.
Total transaction prices and published unit prices are summarized separately. Figures are not appraisals of individual properties and may change as the source data is updated.Data update information · Disclaimer for more details.