Residential real estate-Beijing Datafang Technology Co., Ltd

Customer Profile

Resident population Working population Passenger Flow Portraits

Social economy

Economic quality Population size Consumption activity

Brand data

Retail Catering

Political districts and borders

AOI(functional side) Geographic grid Blocks Business area Administrative Division Zip Code border

Public services and facilities

Culture, Education and Health Business facilities Leisure and recreation Transportation

Real Estate Data

Commercial real estate Residential real estate Land lot

Industrial and commercial organizations

Basic map

Real Estate Data

Residential real estate

Data description

Data types

Residential real estate

Data description

Contains the name of the community, the community type, the housing price of the community, the building age, the building type, the number of households, the total number of buildings, the property company, the developer, the number of second-hand housing sources, the number of recent transactions, the latest transaction price, the number of rental houses, the boundary of the community -AOI, the number of residents in the community, the residential population portrait, whether the residential population has installed some real estate apps and the use of apps Information, etc.

Scope of use

Chinese Mainland

Update frequency

Real-time Update

Latest aging

Real-time Update

Data type

Administrative district classification thematic map, grid classification thematic map, aggregation map, heat map, and point distribution map; AOI graded heatmap, AOI border

Data format

Excel、table、shp、geojson、 Database format, etc

API

support

Application Scenarios

Market analysis and trend prediction

Through the analysis of residential real estate data, we can understand the market trend, including the trend of housing prices, sales volume changes, etc., to help enterprises and investors make market forecasts and investment decisions.

Investment decision support

By using residential real estate data, investors can assess the investment potential and risk in different regions, and carry out investment location and capital allocation.

arketing and sales strategy

By analyzing residential real estate data, developers can develop more effective marketing and sales strategies and improve sales efficiency and transaction rate.

Customer insight and service optimization

By analyzing residential property data, it is possible to gain an in-depth understanding of customer needs and provide more personalized services.

Urban development planning

The government can make urban development planning based on residential real estate data, rationally plan residential areas, and optimize urban spatial layout.