Land
Transactions: 124 records
- Median sale price
- JPY 33,500,000
- Median price per m²
- JPY 240,000/㎡
Valid prices: 124 records／Valid unit prices: 124 records
Tokyo — Higashikurume City — property transactions and local prices
Based on published MLIT transaction data, Tokyo — Higashikurume City 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: 407 records
- Median sale price
- JPY 43,000,000
- Median price per m²
- —
Valid prices: 407 records／Valid unit prices: 0 records
Condominium
Transactions: 135 records
- Median sale price
- JPY 20,000,000
- Median price per m²
- —
Valid prices: 135 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 | 36 records／JPY 240,000/㎡ | 163 records／— | 40 records／— |
| 2024 | 34 records／JPY 230,000/㎡ | 133 records／— | 53 records／— |
| 2023 | 54 records／JPY 245,000/㎡ | 111 records／— | 42 records／— |
| 2022 | 51 records／JPY 220,000/㎡ | 135 records／— | 59 records／— |
| 2021 | 71 records／JPY 220,000/㎡ | 208 records／— | 60 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 200,000/㎡ （Valid: 46 records）
2017
JPY 190,000/㎡ （Valid: 43 records）
2018
JPY 230,000/㎡ （Valid: 35 records）
2019
JPY 220,000/㎡ （Valid: 34 records）
2020
JPY 220,000/㎡ （Valid: 56 records）
2021
JPY 220,000/㎡ （Valid: 71 records）
2022
JPY 220,000/㎡ （Valid: 51 records）
2023
JPY 245,000/㎡ （Valid: 54 records）
2024
JPY 230,000/㎡ （Valid: 34 records）
2025
JPY 240,000/㎡ （Valid: 36 records）
Land and building： — median sale price
2016
JPY 34,000,000 （Valid: 143 records）
2017
JPY 35,000,000 （Valid: 141 records）
2018
JPY 34,000,000 （Valid: 137 records）
2019
JPY 37,000,000 （Valid: 148 records）
2020
JPY 37,000,000 （Valid: 167 records）
2021
JPY 38,000,000 （Valid: 208 records）
2022
JPY 40,000,000 （Valid: 135 records）
2023
JPY 43,000,000 （Valid: 111 records）
2024
JPY 41,000,000 （Valid: 133 records）
2025
JPY 43,000,000 （Valid: 163 records）
Condominium： — median sale price
2016
JPY 16,000,000 （Valid: 43 records）
2017
JPY 17,500,000 （Valid: 48 records）
2018
JPY 19,000,000 （Valid: 35 records）
2019
JPY 16,000,000 （Valid: 49 records）
2020
JPY 15,000,000 （Valid: 46 records）
2021
JPY 20,000,000 （Valid: 60 records）
2022
JPY 23,000,000 （Valid: 59 records）
2023
JPY 20,500,000 （Valid: 42 records）
2024
JPY 23,000,000 （Valid: 53 records）
2025
JPY 16,000,000 （Valid: 40 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.