1、 The data system includes the statistical data of national economy and social development of Guizhou Province from 1989 to 2016, the main statistical data since the reform and opening up, especially since 2015, and the main statistical data of all cities (prefectures), counties (cities, districts, special zones), the whole country and all provinces (districts, cities), which is one of the important reference books reflecting the situation of Guizhou Province.
2、 This yearbook consists of 26 parts: comprehensive, national economic accounting, population, wages of employees and staff, investment in fixed assets, foreign economic and trade, energy finance and taxation, price index, people's life, city profile, resources and environment, agriculture, industry, construction, transportation and telecommunications, wholesale, retail, accommodation and catering, tourism, finance, education, science and technology, culture, sports and health, Social services and others, data of national autonomous areas, cities (prefectures), counties (cities, districts, special zones), and data of the whole country and provinces (districts, cities). In order to facilitate the reader's understanding and use of statistical data, a brief description is given on the front page of each part, followed by an explanation of the main statistical indicators.
3、 In this yearbook, all data provided by relevant departments (units) are indicated with data sources under the table, and changes in the statistical scope and caliber of some indicators are noted under the table. Please pay attention to the use.
4、 No mechanical adjustment has been made to the calculation error of the total or relative amount of some data in this yearbook due to different calculation units or choices.
5、 Notes to the use of symbols in this yearbook table: "..." means that the data is less than the minimum unit of measurement, "space" means that the statistical indicator data is unknown or no data, and "#" means one of the items of the superior indicator.
File naming and required software
File name: The statistical yearbook data is stored in. xlsx format or. pdf. The file name is "XX Statistical Yearbook yyyy_. xlsx", where XX represents the province and yyyy represents the year. For example, "Guizhou Statistical Yearbook 1990. xlsx" represents this xlsx file to describe the 1990 Guizhou Statistical Yearbook data. Data reading mode: all xlsx files in the dataset can be read directly with office or wps.
National of Bureau Statistics. (2022). Guizhou Statistical Yearbook 1990-2017. Upper Yangtze River Scientific Data Center,
(Download the reference:
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Copyright & License
To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.
This dataset belongs to offline data sharing group, which requires an approval from the data author. You can apply for this data online in login status.
What's data citation?
Why do we need data reference?
Data has intellectual property rights because it is not only the result of physical labor, but also the achievements of intellectual activities.
Data sharing needs to protect the intellectual property rights of Data, so that we can protect the rights and interests of data producers and make data sharing sustainable development.
The core intellectual property rights of data include the right of signature, the right of publication and the right of recompilation, among which the right of signature is the most basic right.
In academia, the traditional literature citation is the best way to reflect the right of signature. It has been widely recognized by scientists, so the intellectual property rights of data can be embodied through data reference.
Required Article Citation:
This data is not cited in this article
Data Citations:
National of Bureau Statistics. (2022). Guizhou Statistical Yearbook 1990-2017. Upper Yangtze River Scientific Data Center, 2022.