Land
Transactions: 47 records
- Median sale price
- JPY 47,000,000
- Median price per m²
- JPY 450,000/㎡
Valid prices: 47 records／Valid unit prices: 47 records
Kyoto — Kyoto City, Higashiyama Ward — property transactions and local prices
Based on published MLIT transaction data, Kyoto — Kyoto City, Higashiyama Ward 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: 199 records
- Median sale price
- JPY 40,000,000
- Median price per m²
- —
Valid prices: 199 records／Valid unit prices: 0 records
Condominium
Transactions: 64 records
- Median sale price
- JPY 17,000,000
- Median price per m²
- —
Valid prices: 64 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 | 14 records／JPY 625,000/㎡ | 54 records／— | 14 records／— |
| 2024 | 15 records／JPY 390,000/㎡ | 65 records／— | 30 records／— |
| 2023 | 18 records／JPY 505,000/㎡ | 80 records／— | 20 records／— |
| 2022 | 10 records／JPY 415,000/㎡ | 58 records／— | 18 records／— |
| 2021 | 18 records／JPY 245,000/㎡ | 71 records／— | 34 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 260,000/㎡ （Valid: 11 records）
2017
JPY 410,000/㎡ （Valid: 15 records）
2018
JPY 545,000/㎡ （Valid: 12 records）
2019
JPY 290,000/㎡ （Valid: 14 records）
2020
JPY 310,000/㎡ （Valid: 16 records）
2021
JPY 245,000/㎡ （Valid: 18 records）
2022
JPY 415,000/㎡ （Valid: 10 records）
2023
JPY 505,000/㎡ （Valid: 18 records）
2024
JPY 390,000/㎡ （Valid: 15 records）
2025
JPY 625,000/㎡ （Valid: 14 records）
Land and building： — median sale price
2016
JPY 27,000,000 （Valid: 73 records）
2017
JPY 32,000,000 （Valid: 59 records）
2018
JPY 32,000,000 （Valid: 64 records）
2019
JPY 26,000,000 （Valid: 74 records）
2020
JPY 25,000,000 （Valid: 40 records）
2021
JPY 25,000,000 （Valid: 71 records）
2022
JPY 21,500,000 （Valid: 58 records）
2023
JPY 35,000,000 （Valid: 80 records）
2024
JPY 55,000,000 （Valid: 65 records）
2025
JPY 35,000,000 （Valid: 54 records）
Condominium： — median sale price
2016
JPY 14,000,000 （Valid: 25 records）
2017
JPY 15,000,000 （Valid: 29 records）
2018
JPY 13,000,000 （Valid: 33 records）
2019
JPY 16,000,000 （Valid: 27 records）
2020
JPY 29,000,000 （Valid: 26 records）
2021
JPY 17,500,000 （Valid: 34 records）
2022
JPY 18,500,000 （Valid: 18 records）
2023
JPY 14,500,000 （Valid: 20 records）
2024
JPY 17,000,000 （Valid: 30 records）
2025
JPY 19,000,000 （Valid: 14 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.