1999-2021 prefecture-level city population-related data, various types of land area data, pollutant discharge and environmental governance related data, real estate investment and commercial housing sales area, total retail sales of social consumer goods and the balance of deposits and loans of financial institutions at the end of the year, local general public Budgetary revenue and expenditure, number of industrial enterprises, fixed asset investment and foreign economic and trade data, scientific and technological innovation index data, labor force employment and wages, number of schools, number of teachers and students, assets of industrial enterprises and main financial indicators, culture/sports /Health/Social Security and other public service-related indicators, GDP and primary, secondary and tertiary industry composition data (see the previous article for details)!
This time we are sharing the passenger and freight volume and ownership data of various means of transportation in prefecture-level cities compiled from the "China City Statistical Yearbook" from 2000 to 2022! The data year is from 1999 to 2021, and the statistical objects are cities at the prefecture level and above. The formats are Shp and Excel, involving two statistical calibers of the whole city and municipal districts. There are 14 indicators in total , including :
Passenger and cargo volume by mode of transport:
- Road Passenger Traffic (1999-2021/city/10,000 people)
- Passenger volume of water transport (2001-2019/city/10,000 people)
- Civil Air Passenger Traffic (2001-2019/city/10,000 people)
- Road freight volume (1999-2021/city/tons)
- Waterborne Freight Volume (2001-2019/city/10,000 tons)
- Civil air cargo and mail volume (2001-2019/city/ton)
- Total passenger traffic (1999-2014/city/10,000 people)
- Railway Passenger Traffic (1999-2014/whole city/district/10,000 people)
- Total Freight (1999-2014/city/district/10,000 tons)
- Railway freight volume (1999-2014/whole city/municipal district/10,000 tons)
Ownership of buses and taxis:
- Number of buses (electric) vehicles in operation at the end of the year (1999-2021/city/district/vehicle)
- Annual total passenger traffic of buses (electric vehicles) (1999-2021/city/district/10,000 passengers)
- Actual number of public taxis in operation at the end of the year (1999-2021/district/quantity)
- Bus ownership per 10,000 people (1999-2015/municipal district/vehicle)
The following are the details of the data:
01Data preview
Let's take the city's road passenger volume, the city's road freight volume, and the number of public taxis in operation at the end of the year as examples to preview the data!
1. Highway passenger traffic volume of prefecture-level and above cities in Shp format (citywide)
Let's take the data of 2021 as an example to preview:
2. The highway freight volume of prefecture-level and above cities in Shp format (citywide)
Let's take the data of 2021 as an example to preview:
3. The actual number of public taxis in operation in cities at prefecture level and above in Shp format at the end of the year (city districts)
Let's take the data of 2021 as an example to preview:
4. Passenger traffic volume of cities at prefecture level and above in Excel format (citywide)
5.Excel format of highway freight volume in prefecture-level and above cities (citywide)
6. The actual number of public taxis in operation at the end of the year in cities at prefecture level and above in Excel format (municipal districts)
02 Data description
① The statistics of the yearbook are the data of the previous year, so the statistics of the 2000-2022 "China City Statistical Yearbook" are the data of 1999-2021;
② The statistical indicators of the "China City Statistical Yearbook" have changed in 23 years, and they are not consistent every year. For example, the water transport passenger volume under the city's caliber is only counted in the 2002-2020 yearbook!
③ "China City Statistical Yearbook" counts the data of cities, and non-urban administrative units and non-prefecture-level administrative units and above are not included in the statistics. There are a total of 74, specifically: Xing'an League, Xilin Gol League, and Alxa League , Yanbian Korean Autonomous Prefecture, Greater Khingan Mountains, Jiyuan City, Enshi Tujia and Miao Autonomous Prefecture, Xiantao City, Qianjiang City, Tianmen City, Shennongjia Forest District, Xiangxi Tujia and Miao Autonomous Prefecture, Wuzhishan City, Qionghai City, Wenchang City, Wanning City, Dongfang City, Ding'an County, Tunchang County, Chengmai County, Lingao County, Baisha Li Autonomous County, Changjiang Li Autonomous County, Ledong Li Autonomous County, Lingshui Li Autonomous County, Baoting Li and Miao Autonomous County, Qiongzhong Li and Miao Autonomous County, Aba Tibetan and Qiang Autonomous Prefecture, Ganzi Tibetan Autonomous Prefecture, Liangshan Yi Autonomous Prefecture, Qianxinan Buyi and Miao Autonomous Prefecture, Qiandongnan Miao and Dong Autonomous Prefecture, Qiannan Buyi and Miao Autonomous Prefecture, Chuxiong Yi Autonomous Prefecture, Honghe Hani and Yi Autonomous Prefecture, Wenshan Zhuang and Miao Autonomous Prefecture, Xishuangbanna Dai Autonomous Prefecture, Dali Bai Autonomous Prefecture, Dehong Dai and Jingpo Autonomous Prefecture, Nujiang Lisu Autonomous Prefecture, Diqing Tibetan Autonomous Prefecture, Ngari Prefecture, Linxia Hui Autonomous Prefecture, Gannan Tibetan Autonomous Prefecture, Haibei Tibetan Autonomous Prefecture, Huangnan Tibetan Autonomous Prefecture, Hainan Tibetan Autonomous Prefecture, Guoluo Tibetan Autonomous Prefecture Autonomous Prefecture, Yushu Tibetan Autonomous Prefecture, Haixi Mongolian and Tibetan Autonomous Prefecture, Changji Hui Autonomous Prefecture, Boertala Mongolian Autonomous Prefecture, Bayingoleng Mongolian Autonomous Prefecture, Aksu Prefecture, Kizilsu Kirgiz Autonomous Prefecture, Kashi District, Hotan District, Ili Kazakh Autonomous Prefecture , Tacheng District, Altay District, Shihezi City, Alar City, Tumushuke City, Wujiaqu City, Beitun City, Tiemenguan City, Shuanghe City, Kekedala City, Kunyu City, Populus euphratica River City, Xinxing City, Taiwan Province, Hong Kong Special Administrative Region, Macao Special Administrative Region.
④ Due to factors such as the adjustment of administrative divisions, the data of some prefecture-level cities in some years may be missing. For prefecture-level cities with missing data, a null value is used in Excel, and a 0 value is used in Shp, that is, a value of 0 indicates that the data is missing, rather than a data value of 0.
⑤Shp data coordinates are WGS1984 coordinates.
⑥The Shp file uses the administrative divisions of prefecture-level cities in 2021 provided by the official account of "Shudu Chengshi".
At the bottom of the article is our official account business card. We will regularly introduce various types of urban data and data visualization and analysis technologies. We welcome your attention to the passenger and freight volume and ownership data of various transportation vehicles in prefecture-level cities from 1999 to 2021. Let's find out!