The data set records the statistics of the number of self-driving cars entering Qinghai province from 2008 to 2020. The data are divided by industry, region, affiliation and registration type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, which are: Enter Qinghai autonomous driving volume in 2018. XLS Enter qinghai autonomous driving volume and ranking 2009. XLS Enter qinghai autonomous driving volume and ranking 2010 2010. XLS Enter qinghai autonomous driving volume and ranking 2011. XLS Enter qinghai autonomous driving volume and ranking in 2012. XLS Enter qinghai autonomous driving volume and ranking in 2013. XLS Enter qinghai autonomous driving volume and ranking in 2014. XLS Enter qinghai autonomous driving volume and ranking 2015. XLS Enter qinghai autonomous driving volume and ranking 2016. XLS Enter qinghai autonomous driving volume and ranking 2008. XLS Enter qinghai autonomous driving volume and ranking 2017. XLS Enter qinghai autonomous driving volume and ranking 2020. XLS The data table structure is the same. For example, there are three fields in the 2018 data table of autonomous driving in Qinghai Province: Field 1: Vehicle source land Field 2: Number of self-driving cars Field 3: Year-over-year increase
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of the registration of major scientific and technological achievements in Qinghai province from 1998 to 2020. The data are divided according to the achievement level, the application industry, the application situation, the number of projects with statistical economic benefits, and the economic benefits achieved in the current year after application. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 25 data tables, which are: Basic information of major scientific and technological achievements registration in Province.xls 1998 Basic information on registration of major scientific and technological achievements in Province.xls 1999 Basic information on registration of major scientific and technological achievements in Province.xls Basic information of provincial major scientific and technological achievements registration 2001. XLS Basic information on registration of major scientific and technological achievements in Province.xls 2002 Provincial major scientific and technological achievements registration in 2003. XLS Provincial major scientific and technological achievements registration in 2004. XLS Basic statistics on registration of major scientific and technological achievements 2004-2005. XLS The registration of major scientific and technological achievements in The province 2005-2006. XLS Basic information on registration of major scientific and technological achievements in The province 2006-2007. XLS Basic information of provincial major scientific and technological achievements registration 2008. XLS Basic information of provincial major scientific and technological achievements registration 2009. XLS Basic information of provincial major scientific and technological achievements Registration 2010. XLS Basic information of provincial major scientific and technological achievements registration 2011. XLS Basic information on the registration of major scientific and technological achievements in The province Basic information on registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province in 2015. XLS Basic information of registration of major scientific and technological achievements in The province in 2016 Basic information on registration of major scientific and technological achievements in The province in 2017. XLS The registration of major scientific and technological achievements in The province in 2018. XLS The registration of major scientific and technological achievements in The province Basic information of provincial major scientific and technological achievements registration 2020. XLS The data table structure is the same. For example, there are five fields in the 2001 data table of the registration of major scientific and technological achievements in The province: Field 1: Category Field 2: Total Field 3: Research institution Field 4: Tertiary institution Field 5: Enterprise
Qinghai Provincial Bureau of Statistics
The data recorded the statistical data collected by the archives administration department of Qinghai Province from 2001 to 2020. The data were divided into provincial, prefecture-level and county-level national comprehensive archives. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset consists of 12 data tables with the same structure. For example, the 2006 data table had 12 fields. Field 1: Project unit Field 2: Unit quantity Field 3: Personnel Field 4: Education level Field 5: University Field 6: Junior college Field 7: Below high school Field 8: Archival professional procedures Field 9: University Field 10: Junior college Field 11: On-the-job training Field 12: Operating expenses
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of star hotels in Qinghai province from 2009 to 2020, and the data is divided into five stars, four stars, three stars, two stars and one star. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, all of which have the same structure. For example, the 2017 table has 5 fields: Field 1: indicator Field 2: Star hotels Field 3: Number of rooms Field 4: Number of beds Field 5: Number of employees
Qinghai Provincial Bureau of Statistics
The dataset records the contribution rates of the three industries in Qinghai province from 1990 to 2020, and the data is divided by year. Industrial contribution rate refers to the ratio of the increment of added value of each industry to the increment of GDP. The 2006 primary industry figures were adjusted based on agricultural census data. It was adjusted in 2013 based on data from the third Economic Census. In 2013, it was implemented according to the standard of National economic industry classification (GB/T4754-2011). Data for 2018 are preliminary calculations. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, all of which have the same structure. For example, the data table from 1990 to 2007 has 5 fields: Field 1: Year Field 2: Gross product Field 3: Primary industry Field 4: Secondary industry Field 5: Tertiary industry
Qinghai Provincial Bureau of Statistics
The data set records the main situation of the securities industry in Qinghai province from 2013 to 2020, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains six data tables, which are: Key Conditions of the Securities Industry 2013-2014 XLS, Key Conditions of the Securities Industry 2013-2015 XLS, Key Conditions of the Securities Industry 2014-2016 XLS, Key Conditions of the Securities Industry 2015-2018 XLS, Key Conditions of the Securities Industry 2017-xLS, Main conditions of the Securities Industry 2017-2020. XLS. The data table structure is the same. For example, the 2013-2014 data table has 8 fields: Field 1: Public company Field 2: Total share capital of a listed company Field 3: Total market value of shares of listed companies Field 4: Securities firms and transactions Field 5: Number of accounts opened for securities transactions Field 6: Trading volume of securities Field 7: Futures trading status Field 8: Futures agency trading volume
Qinghai Provincial Bureau of Statistics
The data set recorded the actual sales area of commercial housing by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining, Haidong, Haibei prefecture, Hainan Prefecture, And Huangnan Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Actual Sales Area of commercial Housing by Use 1997-2005 XLS, Actual Sales Area of commercial Housing by Use 1997-2006 XLS, Actual Sales Area of commercial Housing by Use 1997-2007 XLS, Actual Sales Area of commercial Housing by Use 2000-2008 Actual Sales Area of Commercial Housing by Use 2000-2009. XLS, Actual Sales Area of Commercial Housing by Use in Qinghai Province (2001-2020). XLS, et al. The data table structure is the same. For example, the data table from 1997 to 2005 has 4 fields: Field 1: Year region Field 2: Housing sales area Field 3: Office building Field 4: Other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of total wages of employees employed in all units by industry in Qinghai Province from 2010 to 2020. Data in an ecological-economic, mining, manufacturing, electricity, gas and water, construction, wholesale and retail trade, transportation, warehousing and postal service, accommodation and catering industry, information transmission, software, finance, real estate, leasing and business services, scientific research and technical services, water environment and public facilities management, residents service, repair and other services, and taught Education, health and social work, culture, sports and entertainment, public administration and social security. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains eight data tables, which are: Employees employed in All Units by Industry (2011). XLS, Employees employed in All Units by Industry (2012). XLS, Employees employed in All Units by Industry (2010-2013). XLS, Employees employed in All Units by Industry (2010-2014). Number of Employed Persons in All Units by Industry 2011-2015 XLS, Number of Employed Persons in All Units by Industry 2012-2017 XLS, Number of Employed Persons in All Units by Industry in Qinghai Province (2015-2020) XLS, Employed persons in all Units by Industry 2013-2018. XLS. The data table structure is the same. For example, the data table from 2012 to 2018 has 9 fields: Field 1: Item Field 2: Item Field 3:2012 Field 4:2013 Field 5:2014 Field 6:2015 Field 7:2016 Field 8:2017 Field 9:2018
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistical data of the number of party members (members) of various parties in Qinghai Province from 1978 to 2020, which were divided by the Communist Party of China, the Revolutionary Committee of the Chinese Kuomintang (KMT), the China Democratic League, the China Democratic Construction Association, the Chinese Peasants and Workers Democratic Party, and the Jiusan Society. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, all of which have the same structure. For example, the data table from 2013 to 2018 has 7 fields: Field 1: Name Field 2:2013 Field 3:2014 Field 4:2015 Field 5:2016 Field 6:2017 Field 7:2018
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of economic benefit indicators of qinghai construction industry from 1978 to 2020, which are divided by calculation of gross output value, completion rate of building area, profit rate of output value, per capita completed output value, per capita construction area, per capita completed area, per capita profit, asset-liability ratio, and technical equipment ratio. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 50 data tables, which are: Main Years Main Economic Indicators of construction Enterprises 1985-2010 XLS Main economic Indicators of construction enterprises 2000-2009. XLS Main economic Indicators of construction enterprises 2005-2011. XLS Main Years Main Economic Indicators of Construction Enterprises 2009-2013 XLS Main Years Main economic Indicators of construction Enterprises 2010-2014 XLS Main years Main economic indicators of construction enterprises 2012-2015 XLS Main years Main economic indicators of construction enterprises 2015-2020 XLS Main Years Main Economic Indicators of Construction Enterprises 2014-2019. XLS Main Years Main economic indicators of construction enterprises 2013-2016 XLS Main Years Main Economic Indicators of construction Enterprises 2014-2017 XLS Main Years Main Economic Indicators of Construction Enterprises 2008-2012 XLS Main Indicators of Construction Enterprises 1978-2009. XLS Main Indicators of Construction Enterprises 1978-2010. XLS Main Indicators of Construction Enterprises 1978-2011. XLS Main Indicators of Construction Enterprises 1978-2012 XLS Main Indicators of Construction Enterprises 1978-2013. XLS Main Indicators of Construction Enterprises 1978-2014. XLS Main Indicators of Construction Enterprises 1978-2015. XLS Main Indicators of Construction Enterprises 1978-2016. XLS Main Indicators of Construction Enterprises 1978-2018. XLS Main economic indicators of construction enterprises 2001 XLS Main economic indicators of construction Enterprises 2000-2005. XLS Main economic indicators of construction Enterprises 2000-2006. XLS Main economic indicators of construction Enterprises 2000-2007. XLS Main economic indicators of construction Enterprises 2000-2008. XLS Main economic indicators of construction enterprises 2002. XLS Main economic Indicators of Construction Enterprises 2015-2018. XLS Main economic indicators of construction enterprises 2003. XLS Main economic Indicators of construction enterprises 2004 2004. XLS Economic benefit index of construction industry 2000-2009. XLS Economic performance index of construction industry 2000-2001. XLS Economic benefit index of construction industry 2000-2005. XLS Economic benefit index of construction industry 2000-2006. XLS Economic benefit index of construction industry 2000-2007. XLS Economic benefit index of construction industry 2000-2008. XLS Economic benefit index of construction industry 2001-2002. XLS Economic benefit index of construction industry 2002-2003. XLS Economic benefit index of construction industry 2004. XLS Economic benefit index of construction industry 2005-2010. XLS Economic benefit index of construction industry 2007-2011. XLS Economic benefit index of construction industry 2008-2012. XLS Economic benefit index of construction industry 2010-2013. XLS Economic benefit index of construction industry 2010-2014. XLS Economic benefit index of construction industry 2010-2015. XLS Economic benefit index of construction industry 2012-2016. XLS Economic benefit index of construction industry 2012-2017. XLS Economic benefit index of construction industry 2013-2018. XLS Economic benefit index of qinghai construction industry 1997-1998. XLS Economic benefit index of construction industry in Qinghai province 1998-1999. XLS Economic benefit index of construction industry in Qinghai province 1999-2000. XLS The data table structure is the same. For example, the 2014-2017 data table of main economic indicators of construction enterprises in major years has 6 fields: Field 1: indicator Field 2: item Field 3:2014 Field 4:2015 Field 5:2016 Field 6:2017
Qinghai Provincial Bureau of Statistics
The data set recorded the basic employment statistics of Qinghai Province from 1985 to 2019, which were divided by the total number of employed persons, the composition of employed persons, the number of employed persons by urban and rural areas, and the number of registered unemployed persons in urban areas. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: Basic information on employment in main years 1985-2006. XLS Basic information on employment in main years 1985-2010. XLS Basic information on employment in main years 1990-2005.xls Basic information on employment in main years 1998-2004. XLS Basic information on employment in main years 2000-2007.xls Basic information on employment in main years 2000-2008. XLS Basic information on employment in main years 2000-2009. XLS Basic information on employment in main years 2005-2011. XLS Basic information on employment in main years 2007-2013. XLS Basic information on employment in Main years 2008-2014. XLS Basic information on employment in main years 2009-2015. XLS Basic information on employment in main years 2010-2016. XLS Basic information on employment in main years 2011-2017. XLS Basic information on employment in major years 2012-2018. XLS Basic information on Employment in main years 2018-2019. XLS Basic information on employment in main years 2007-2012. XLS Basic information on employment 1995-2001. XLS Basic information on employment 1996-2002. XLS Basic information on employment 1997-2003. XLS The data table structure is the same. For example, the basic employment data table 1995-2001 contains eight fields: Field 1: Item Field 2:1995 Field 3:1996 Field 4:1997 Field 5:1998 Field 6:1999 Field 7:2000 Field 8:2001
Qinghai Provincial Bureau of Statistics
The data set records the per capita output of major industrial and agricultural products in Qinghai province from 1978 to 2020, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, all of which have the same structure. For example, the 1978-2001 data table has 17 fields: Field 1: Year Field 2: Grain Field 3: Oil Field 4: Fruit Field 5: Milk Field 6: Meat Field 7: beef and mutton Field 8: Wool Field 9: Aquatic products Field 10: Raw salt Field 11: Machine-made paper and board Field 12: Raw coal Field 13: Aluminium Field 14: Crude oil Field 15: Yield Field 16: Steel Field 17: Cement
Qinghai Provincial Bureau of Statistics
The data set records the GDP composition items of Qinghai Province from 1952 to 2019, and the data are divided by year. The data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 33 data tables with the same structure. For example, the data table from 1990 to 2003 has 6 fields: Field 1: year Field 2: gross domestic product Field 3: remuneration of workers Field 4: depreciation of fixed assets Field 5: net production tax Field 6: operating surplus
Qinghai Provincial Bureau of Statistics
The data set records the total energy production and composition of qinghai province in 1990-2020 statistical data, the data according to the raw coal (ten thousand tons), (ten thousand tons) of crude oil, natural gas (cubic meters), liquefied natural gas (ten thousand tons), crude oil processing capacity (ten thousand tons), coke (ten thousand tons), gas (cubic meters), electricity (million kilowatt hours) and so on. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, which are: Output of Major energy products in Qinghai Province (2010-2020).XLS Output of major energy products 2010-2017. XLS Total energy production and composition, 1990-2001. XLS Total energy production and composition, 1990-2002. XLS Total energy production and composition 1990-2003. XLS Total energy production and composition, 1990-2005. XLS Total energy production and composition, 1990-2006. XLS Total energy production and composition, 1990-2007. XLS Total energy production and composition, 1990-2008. XLS Total energy production and composition, 1990-2009. XLS Total energy production and Composition, 1990-2010. XLS Total energy production and Composition, 1990-2011. XLS Total energy production and composition 2004. XLS The data table structure is the same. For example, the data table of total energy production and its composition from 2010 to 2020 has 13 fields: Field 1: Product name Field 2: Item Field 3:2010 Field 4:2011 Field 5:2012 Field 6:2013 Field 7:2014 Field 8:2015 Field 9:2016 Field 10:2017 Field 11:2018 Field 12:2019 Field 13:2020
Qinghai Provincial Bureau of Statistics
The dataset recorded statistics on the per capita disposable income of rural residents in Different regions of Qinghai Province from 2010 to 2020, based on the regions of Xining, Haidong, Haibei, Huangnan, Hainan, Guoluo, Yushu and Haixi. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains five data tables, which are: Per capita disposable income of rural residents by region 2010-2015 XLS, per capita disposable income of rural residents by region 2010-2016 XLS, per capita disposable income of rural residents by region 2010-2017 XLS, Per capita Disposable Income of Rural Residents by Region 2010-2018 XLS, Per capita Disposable Income of Rural Residents by Region of Qinghai Province (2010-2020) XLS The data table structure is different. For example, the data table from 2010 to 2016 has 8 fields: Field 1: region Field 2:2010 Field 3:2011 Field 4:2012 Field 5:2013 Field 6:2014 Field 7:2015 Field 8:2016
Qinghai Provincial Bureau of Statistics
This data set records the commodity trading market of Qinghai Province from 2009 to 2020, and the data is divided by market category, business status, operation mode and operating environment. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, all of which have the same structure. For example, the 2009 table has 5 fields: Field 1: indicator Field 2: Market number Field 3: Total number of stalls Field 4: Business area Field 5: Transaction amount
Qinghai Provincial Bureau of Statistics
This data set records the GDP of Qinghai Province by expenditure method from 1990 to 2019. The data is divided by year. The GDP of each year after 1995 is calculated by expenditure method, which has statistical error with the GDP calculated by production method. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, all of which have the same structure. For example, the data table from 1990 to 2003 has 7 fields: Field 1: Year Field 2: Gross output by expenditure method Field 3: Final consumption Field 4: Total capital formation Field 5: Net exports of goods and services Field 6: Capital formation rate Field 7: Final consumption rate
Qinghai Provincial Bureau of Statistics
This data set records the year-end ownership of agricultural machinery in Qinghai province from 1957 to 2020. Data in a diesel engine power, gasoline engine power, motor power and other mechanical power, large and medium-sized tractor (Taiwan), small tractors (ten thousand), large and medium-sized tractor supporting tools (Taiwan) and small tractor supporting tools (ten thousand), agricultural irrigation and drainage (Taiwan), combine harvester (Taiwan), mobile thresher (Taiwan), the farm transporter (car), fishing with machine Moving vessels (vessels) and irrigation and drainage facilities for agricultural use. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The data set mainly contains 39 data tables, which are as follows: Annual ownership of agricultural machinery 1957-1998. XLS Annual agricultural machinery ownership 1957-1999. XLS Main years Agricultural machinery year-end ownership 1957-2000. XLS Main years Agricultural machinery year-end ownership 1957-2001. XLS Main years Agricultural machinery year-end ownership 1957-2002 XLS Annual ownership of agricultural machinery 1957-2004. XLS Main years Agricultural machinery year-end ownership 1957-2008. XLS Main years agricultural machinery year-end ownership 1957-2009. XLS Annual ownership of agricultural machinery 1957-2010. XLS Annual ownership of agricultural machinery 1957-2011. XLS Main years Agricultural machinery year-end ownership 1957-2006. XLS Main years Agricultural machinery year-end ownership 1957-2007. XLS Annual ownership of agricultural machinery 1965-2013. XLS Annual ownership of agricultural machinery 1965-2014. XLS Annual ownership of agricultural machinery 1965-2015. XLS Annual ownership of agricultural machinery 1965-2016. XLS Annual ownership of agricultural machinery 1965-2017. XLS Annual ownership of agricultural machinery 1965-2018. XLS Main years Agricultural machinery year-end ownership 1998-2005. XLS Annual ownership of agricultural machinery 1965-2012. XLS Main years and year-end ownership of agricultural machinery by region 1978-2003. XLS Year-end ownership of agricultural machinery 2000-2003. XLS Agricultural machinery year-end ownership 2000-2005. XLS Agricultural machinery year-end ownership 2000-2006. XLS Agricultural machinery year-end ownership 2000-2007. XLS Agricultural machinery year-end ownership 2004. XLS Agricultural machinery year-end ownership 2005-2009. XLS Agricultural machinery year-end ownership 2005-2010. XLS Agricultural machinery year-end ownership 2006-2011. XLS Agricultural machinery year-end ownership 2008-2012. XLS Agricultural machinery year-end ownership 2008. XLS Agricultural machinery year-end ownership 2009-2013. XLS Agricultural machinery year-end ownership 2009-2014. XLS Year-end ownership of agricultural machinery 2010-2015. XLS Year-end ownership of agricultural machinery 2011-2016. XLS Year-end ownership of agricultural machinery 2012-2017. XLS Year-end ownership of agricultural machinery 2013-2018. XLS Year-end ownership of agricultural machinery 2014-2019. XLS Year-end ownership of agricultural machinery 1965-2020. XLS The data table structure is similar. For example, the year-end ownership of agricultural machinery 2000-2003 data table has 6 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2003 is % for 2002
Qinghai Provincial Bureau of Statistics
The data set records the divisions of qinghai province from 1981 to 2020 points in the private sector of on-the-job worker total wages and index statistics, the data is according to the data by the animal husbandry fishery, the production and supply industry, and information technology services, facilities management, and other services, culture, sports and entertainment, public management, social security industry to differentiate. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 26 data tables, all of which have the same structure. For example, the 2013 data table has 10 fields: Field 1: Item Field 2: Provincial total Field 3: Xining City Field 4: Haidong region Field 5: Haibei State Field 6: Huangnan Prefecture Field 7: Hainan Prefecture Field 8: Golo State Field 9: Yushu Prefecture Field 10: Haixi
Qinghai Provincial Bureau of Statistics
The data set records cultural institutions and personnel in Qinghai province from 1978 to 2020. The data is divided into arts, libraries, cultural relics, mass culture, art education and other cultural undertakings. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 34 data tables, all of which have the same structure. For example, the 2011 table has 8 fields: Field 1: indicator Field 2: Unit number Field 3: Year-end employees Field 4: Total assets Field 5: Operating income Field 6: Main business Field 7: Added value Field 8: Value added as a percentage of GDP
Qinghai Provincial Bureau of Statistics
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