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Report on Car Purchase Behavior in Top Ten Cities: Total Data
At this critical moment, in order not to add chaos to the motherland, the car is locked at home like all the duty friends. Together with the "Big Search Cloud", I rearranged the car consumption data of 20 19, which not only enriched everyone's "autistic" time, but also provided valuable friends with the car consumption information of their city and made some reference for their own car purchase. Please read the details.

Here, first of all, introduce the data provider "Da Sou Che Zhiyun":

Dasou Chezhiyun is the first data service platform based on its own industrial chain in China, which aggregates the information of five major industrial circulation links: new car trading, used car trading, auto finance, after-sales and spare parts, and dealer operation, creates the most complete data ecological chain, and provides online data services in three aspects: data query, data analysis and data scenario application.

Click to enter the cloud of handcart.

Note: The data of Dasou Car Cloud is based on Shanghai insurance data, which is more real than the sales volume published by the Association. Moreover, the data provided this time, in addition to the overall production and sales data, vehicle sales, there are more detailed sub-city data.

With regard to the summary of this data, we have made statistics on the car buying behaviors of the top ten cities where valuable friends were distributed in 20 19 years, including:

Models that the city likes;

Preferred color;

Do you like German cars or Japanese cars?

Which cities prefer new energy vehicles;

Who are those emerging brands, such as WEY, Link and Weilai, sold to?

The ten cities are Shanghai, Beijing, Guangzhou, Hangzhou, Wuhan, Suzhou, Chengdu, Nanjing, Shenzhen and Tianjin.

The content of this issue is mainly based on overall data. More exciting data will be released one after another, so stay tuned.

Remarks: As mentioned above, the data in this paper are all insurance data, which is different from the data quoted in the previous car list. Please treat it differently.

Finally, I wish all friends on duty peace and joy. Please look forward to the next issue of city data.

This article comes from car home, the author of the car manufacturer, and does not represent car home's position.