Residential real estate

Interface localization

The documentation provides a description with examples of the interface in Russian.

The Residential real estate dataset provides aggregated information about rental and sale prices of residential real estate from external databases for the last year.

Usage scenarios

The Residential real estate dataset helps to solve the problems:

• Selecting a location for opening a business. It helps to evaluate the purchasing power of residents in different districts of the city. High sale or rental prices may indicate more affluent residents.
• Investment analysis. It allows construction companies and developers to evaluate the demand and feasibility of construction in particular districts. A high average price per square meter may indicate the presence of solvent demand.
• Developing pricing strategies. It helps retail chains and delivery services to adapt their pricing policies based on sale or rental prices. For example, offering premium products in areas with expensive apartments and maintaining low prices in affordable residential districts.

How is the data collected?

Data is collected from external databases.

Data update and history

• Update frequency: data is updated once a month. Each month, data for the last year is uploaded. For example, in June 2025, data on offers from May 2024 to May 2025 was uploaded.
• History: historical data is not available. You can only view the latest actual data.

Available territories

Data is available only for Russia.

Limited availability in the area

The data may not be available throughout the entire country, but only in populated areas where 2GIS is present. To check data availability, use geofilters or contact technical support.

Data availability

• On-Cloud (2GIS Pro service):

  • Demo tariff plan: data is not available. To start working with the data, change the tariff plan and request access to the dataset.
  • Other tariff plans: data is available upon request.

• On-Premise (installation of the service in a private environment): data is not available.

Getting started

1. Go to the Main or Data tab.

2. Select the Residential real estate dataset.

3. In the Geofilter settings dialog, select up to 50 territories for which the data sample is created. You can use standard and custom territories and also build polygons, proximity zones, and circles on the map. For more information, see the Geofilters section. After you select the territories, click Done.

4. On the Filters tab, select basic filters for data analysis:

   • To analyze the rental market, select Rent in the Deal type filter and use the Average price filter.
   • To analyze the sales market, select Sale in the Deal type filter and use the Average price per m² and Average price filters.
   • To view data by space type, select the Space type filter.

5. Set the remaining filters if necessary.

The data is displayed on the map as centroid points: the centers of the object geometries. Available filtering results:

• Average price per m² in rubles.
• Average offer price in rubles.
• Minimum price per m² in rubles.
• Maximum price per m² in rubles.
• Chart with the distribution of offers by deal type. Displayed if both deal types are selected.
• Chart with the distribution of offers by space type. Displayed if both property types are selected or only the Suburban real estate value is selected.
• Chart with the distribution of offers by number of rooms. Displayed if the Apartment space type is selected.

To save the data sample, click Create layer and customize data visualization.

Filters

For the Residential real estate dataset, the following filters are available:

• Deal type: Rent or Sale. For correct data analysis, it is recommended to select only one option, as rental and sale prices differ significantly.
• Property type: Residential real estate or Suburban real estate. For correct data analysis, it is recommended to select only one option, as the prices of apartments and suburban houses with land plots differ.
• Space type: type of space (for example, apartment, house, etc.).
• Average price per m²: average price of residential real estate per square meter in rubles. Calculated across all offers within one H3 cell (hexagon).
• Average price: average price of residential real estate in rubles. Calculated across all offers within one H3 cell (hexagon). For the Rent deal type, it is the average monthly rent for all objects. For the Sale deal type, it is the average price of all objects.
• Number of rooms in the apartment: number of rooms (for example, Studio, 1, 2, etc.). Available only for offers with the Apartment space type.

To reset the parameter filter, click icon next to the filter name. To reset all parameter filters, click Reset filters at the bottom of the tab.

To hide the filter by territory, in the Geofilter settings dialog, click icon next to the geofilter name. To delete the geofilter, click icon next to its name. To delete all geofilters, click Clear filters.

Data visualization

The following visualization methods are available for the dataset:

• Grid
• Hexbin
• Heatmap
• Contour
• H3

After creating the layer, configure a basic data visualization:

1. Select the H3 visualization method:

   

2. In the Type of scale field, select Logarithmic:

   

Data purchasing

The data from this dataset cannot be purchased separately. You can only work with this dataset in the 2GIS Pro service.

What's next?

• Quick start.
• Get to know more about other Data categories.
• Get to know how to work with Data visualization.
• Learn more about Layers, Dashboards, Scenes, and Widgets.
• Learn about ready-made Analytics scenarios.