What is Utinokati?

Utinokati is a free website that shows you market values and price trends
for apartments, houses, and land, all at a glance.

The extensive data can boost your real estate sale and real estate business because it is based on information about a total of 2.1 million property transactions in Japan that were collected by the Ministry of Land, Infrastructure and Transport over 10 years. With a few simple clicks, you can investigate prices for pre-owned condos, pre-owned houses, and land, at 120,000 points nationwide in Japan and near 20,000 of Japan's numerous railroad lines and stations.

Utinokati can automatically and instantly calculate the price of your property based on the actual prices of similar properties sold in the past, according to the property's age and distance from a train station. Let us help you with your real estate transactions by providing price information and reliable price quotes that reflect your property's actual market value.

Covered Data

Data

Japanese Ministry of Land, Infrastructure and Transport Real Estate Trading Data
(* Questionnaire survey to the buying and selling parties.)

Our database based on actual market sales prices.
Number of Records (Traded)

Total 4,880,205 (from 2005/09/01 - to 2022/09/01)

  • Apartments : 784,713  (16.1 %)
  • Homes : 1,773,082  (36.3 %)
  • Land : 1,695,314  (34.7 %)
  • Farmland : 418,774  (8.6 %)
  • Forest Land : 208,322  (4.3 %)
Number of Records (Rental)

Total: 5,648,860　（from 2015/09/19 - to 2017/06/02）

  • Apartments : 3,498,619 件 (61.9 %)
  • Flat : 2,036,585 件 (36.1 %)
  • Home : 64,608 件 (1.1 %)
  • Other : 49,048 件 (0.9 %)
Number of
Market Values		 Traded: 259,494 points, 26,803 railroad lines and stations
Rental: 72,571 points, 23,219 railroad lines and stations

Market Value usage notes:

The market values listed for apartments, houses, and land provided on this service are based on data from actual past transactions (that concluded in a contract). The year of construction, the distance from the nearest train station, and the area are treated as explanatory variables for a regression analysis that yields a calculation of market value.

These explanatory variables are widely known as key variables that determine the price of real estate. The market values derived therefrom are, therefore, reliable values that reflect actual market value.

However, the calculations used for actual standalone properties are calculated based on a range of other factors like orientation, whether or not the property has been upgraded, the surrounding environs, et cetera. Therefore, please be aware that the market value provided on this service may be lacking in some respects.

In addition, certain locations, rail lines, and train stations may have few past cases of real estate being traded there, so there may not be sufficient data points for a calculation of market value. Note that we cannot provide an accurate price for said values.

All price data provided on Utinokati is based on actual traded values (transactions that concluded in a contract). For this reason, market values reflected herein will often be 5-10% lower than those listed on real estate agencies’ web sites (the sale price). This is because the actual prices at which domestic real estate is traded in central Tokyo, the Kinki region, and the Chubu area are respectively 6%, 8%, and 10% lower than the sale price. In other words, properties are ultimately traded at a discount on the original sale price.

In addition, actual prices are widely affected by the economy, consumption tax, and government policy. In addition, they are affected in more subtle ways by the various conditions of the buyer and seller (urgency to sell, urgency to buy, et cetera), so there may be cases where a property is traded for a price that is not explained by past data.

Please keep the above in mind when using the service.

Market Value algorithms

The algorithms used on Utinokati are based on a wealth of past transaction data for the respective location, railroad line, and train station (the price per tsubo for each property vis-à-vis the year of construction, distance from the nearest train station, and area) and represent a calculation of the current value.

Specifically, the model is calibrated such that, when using key factors like year of construction, distance from the nearest train station, and area, the resulting values will not diverge from past real-world transaction data. This model is then used to calculate the market value of properties along that location, railroad line, or train station.

The system allows for greater fidelity in market value for locations, railroad lines, and train stations where the year of construction, distance from the nearest train station, and area are average values, as there is a large accretion of data for those properties. By contrast, the calculation of market value for properties that diverge from the average (e.g., an old apartment with an average area over 200m2, located in the city center and 20 minutes away from the nearest train station) will show less fidelity.

Supported web browsers

We support the following web browsers.

  • plorer version 9 or higher
  • Google Chrome
  • Safari

If you are using Windows XP, please use Google Chrome.