Special Subject of Qinghai Province

Brief Introduction: Qinghai Province is located in the northeast of the Tibet Plateau. More than four fifths of the area is plateau, with an average altitude of more than 3000 meters. It is a typical plateau continental climate. It has the following basic characteristics: first, it has the vast territory and sparse population. Qinghai Province is about 1200 km long from east to west and 800 km wide from north to south, covering an area of 722300 km, accounting for 7.51% of the total area of the country. Second, it has multi-ethnic settlement. There are 53 ethnic minorities, 6 ethnic autonomous prefectures and 7 ethnic autonomous counties, Ethnic autonomous areas account for 98% of the total area. Third, it has abundant resources. A total of 127 kinds of mineral resources have been found of which 54 kinds are in the top 10 in China. In particular, hydropower resources, salt lake resources, oil and gas resources, limited metal resources and non-metallic mineral resources are very rich, and the development prospect is broad. In addition, it is rich in characteristic agriculture and animal husbandry, wildlife and tourism resources too. Fourth,  its ecological status is very important. Qinghai is the birthplace of the Yangtze River which has been known as the water tower of China. It is an important ecological function area in China and an important base for plateau scientific research. In order to serve the scientific research of the Qinghai Tibet Plateau and the high-quality development of Qinghai's economy and society, the Qinghai Branch of the National Tibet Plateau Data Center was establishied by the Institute of Tibet Plateau Research Chinese Academy of Sciences, Science and Technology Department of Qinghai Province and Qinghai Normal University on November 24, 2020. Qinghai Branch of the National Tibet Plateau Data Center will carry out cooperation in the fields of scientific data collection and sharing, data utilization and development, ecological assessment.

Number of Datasets: 832

  • Number of students per 10000 population in Qinghai Province (1952-2020)

    Number of students per 10000 population in Qinghai Province (1952-2020)

    The data set records the number of students per 10,000 population in Qinghai province from 1952 to 2020, and the data is divided by statistical year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Number of students per 10,000 population in Qinghai Province (1957-2020). XLS Number of students per 10,000 population in the province, 1952-1998. XLS Number of students per 10,000 population in the province, 1952-1999. XLS Number of students per 10,000 population in the province, 1952-2000. XLS Number of students per 10,000 population in the province, 1952-2001. XLS Number of students per 10,000 population in The province, 1952-2002. XLS Number of students per 10,000 population in the province 1952-2003. XLS Number of students per 10,000 population in the province, 1952-2004. XLS Main years Number of students per 10,000 population in the province 1952-2006. XLS Main years Number of students per 10,000 population in the province 1952-2007. XLS Main years Number of students per 10,000 population in the province 1952-2008. XLS Number of students per 10,000 population in the province 1952-2009. XLS Number of students per 10,000 population in the province 1952-2011. XLS Number of students per 10,000 population in the province 1952-2012. XLS Number of students per 10,000 population in The province 1952-2013. XLS Number of students per 10,000 population in The province 1952-2014. XLS Number of students per 10,000 population in The province 1952-2015. XLS Number of students per 10,000 population in The province 1952-2016. XLS Number of students per 10,000 population in The province from 1957 to 2017. XLS Number of students per 10,000 population in The province, 1957-2018. XLS Number of students per 10,000 population in the province, 1963-2010. XLS Number of students per 10,000 population in main years 1996 -2005. XLS The data table structure is the same. For example, the number of students per 10,000 population in the province from 1952 to 1998 has 6 fields: Field 1: Year Field 2: College students Field 3: Secondary school students Field 4: Intermediate division Field 5: Secondary school students

    2022-01-29 1017 168

  • Consumer price index of cities and counties in Qinghai Province (2016-2020)

    Consumer price index of cities and counties in Qinghai Province (2016-2020)

    The data set records the statistical data of consumer price index (CPI) of surveyed cities and counties in Qinghai Province from 2016 to 2020. The data is divided by year and regions such as Xining, Datong, Ledu, Pingan, Haiyan, Tongren, Fuyi, Maqin, Yushu, Golmu and Delingha. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains seven data tables, which are: To investigate the consumer price index (CPI) of cities and counties in 2016. XLS: to investigate the CPI of cities and counties in 2018. XLS: to investigate the CPI of cities and counties in 1999. Consumer Price Index of surveyed cities and counties 2000. XLS, Consumer price index of surveyed cities and counties of Qinghai Province (2019). XLS, Consumer price index of surveyed cities and counties of Qinghai Province (2020). The data table structure is the same. For example, the 1999 table had nine fields: Field 1: Total index Field 2: Food, tobacco and alcohol Field 3: Clothing Field 4: Residence Field 5: Daily necessities Field 6: Traffic and Field 7: Educational culture Field 8: Health care Field 9: Other supplies

    2022-01-29 248 120

  • Average wage and index of non private sector employees in Qinghai Province in Main Years (1978-2020)

    Average wage and index of non private sector employees in Qinghai Province in Main Years (1978-2020)

    The data set recorded the statistical data of the average salary and index of employed non-private sector employees in Qinghai Province in major years from 1978 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, which are: Average wages and indices of major years 1978-2004 XLS, 1978-2005 XLS, 1978-2006 XLS, 1978-2007 Average Wages and Indices of Employed Staff in non-private Sector of major years 1978-2011 XLS, main years 1978-2009 XLS, main years 1978-2010 XLS, Main years 1978-2011 Main years Average Wage and Index of Employed Staff and Workers in Non-private Sector, 1981-2012, main years Average Wage and Index of Employed Staff and workers in Non-private Sector, 1981-2013. XLS, main years Average wage and index of Employed Staff and workers in Non-private Sector, 1981-2014. Average Wage and index of Employed Staff and Workers in non-private Sector in major years 1981-2015 XLS, Average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2016 XLS, average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2017 XLS, Average Wage and Index of Employed Staff and Workers in Non-private Units in Main years 1981-2018. XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2019). XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2020). For example, the 2018 table has 4 fields: Field 1: Year Field 2: region Field 3: Average salary Field 4: Index

    2022-01-29 897 128

  • Number of institutions and personnel of banking system in Qinghai Province (2006-2020)

    Number of institutions and personnel of banking system in Qinghai Province (2006-2020)

    The data set records the number of institutions and personnel in the banking system of Qinghai Province from 2006 to 2020. The data are based on the people's Bank of China, industrial and Commercial Bank of China, Agricultural Bank of China, Bank of China, China Construction Bank, agricultural development bank, China Development Bank, bank of Qinghai, rural credit cooperatives, rural commercial banks, rural cooperative banks, postal savings bank, China CITIC Bank, China Merchants Bank, Shanghai Pudong Development Bank Divided by Bank of communications, rural banks, finance companies, Minmetals trust and industrial bank. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 15 data tables with the same structure. For example, the data table for 2006 has three fields: Field 1: Project Field 2: number of institutions Field 3: number of people at the end of the year

    2022-01-29 459 112

  • Professional and technical personnel of various industries in state owned enterprises and institutions in Qinghai Province (2001-2020)

    Professional and technical personnel of various industries in state owned enterprises and institutions in Qinghai Province (2001-2020)

    This data set records the statistical data of various professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2001 to 2020. The data are divided into agriculture, forestry, animal husbandry and fishery, mining, manufacturing, power, gas and water production and supply, construction, transportation, warehousing and postal administration, information transmission, computer services and software, wholesale and retail, accommodation and catering, and gold Financial industry, real estate industry, leasing and business service industry, scientific research and technology service, geological exploration industry, water conservancy environment and public facilities management industry, resident service and other service industries, education, health, social security and social welfare industry, culture, sports and entertainment industry, public management and social organizations, international organizations, etc. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 36 data tables: Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2013 xls Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2014 xls Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2012 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2015 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2016 xls Professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2015 to 2020 xls Professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2010 to 2019 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2017 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2010-2018 xls Situation of various professional and technical personnel in institutions and enterprises, 2001-2003 xls Situation of various professional and technical personnel in institutions and enterprises, 2001-2005 xls。 Professional and technical personnel of institutions and enterprises, 2004 xls Professional and technical personnel of public institutions by industry, 2004 xls Professional and technical personnel of public institutions by industry, 2003 xls Professional and technical personnel of enterprises and institutions by industry, 2006 xls Professional and technical personnel of the enterprise by industry, 2004 xls Professional and technical personnel by industry, 2003 xls Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2006 XLS Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2007 XLS Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2008 XLS Professional and technical personnel of state - owned institutions and enterprises 2005 - 2009 xls Professional and technical personnel of state-owned institutions and enterprises, 2005-2010 XLS Professional and technical personnel of state-owned institutions and enterprises, 2005-2011 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2010 xl Professional and technical personnel of state-owned enterprises and institutions by industry, 2011 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2012 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2013 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2014 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2015 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2016 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2017 xls Professional and technical personnel of state-owned enterprises and institutions by industry in 2018 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2006 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2007 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2008 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2009 xls The data table structure is the same. For example, there are 7 fields in the 2003 data sheet of the enterprise's professional and technical personnel by industry: Field 1: Industry Field 2: Total Field 3: engineering technicians Field 4: agricultural technicians Field 5: Researchers Field 6: health technicians Field 7: Educators

    2022-01-29 498 144

  • Basic situation of environmental protection in Qinghai Province (2005-2020)

    Basic situation of environmental protection in Qinghai Province (2005-2020)

    The data set recorded the statistical data of the basic situation of environmental protection in Qinghai Province from 2005 to 2020. The data were divided into water environment, ammonia nitrogen emission, air environment, smoke (powder) dust emission, solid waste, urban environment and rural environment. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, which are: Basic information on Environmental Protection 2013-2014. XLS Basic information on Environmental Protection 2014-2015 XLS Basic information on Environmental Protection 2016-2017. XLS Basic information on Environmental Protection 2019-2020.xls Basic information on Environmental Protection in 2016.xls Basic information on environment 2005-2006. XLS Basic information on environment 2005-2007. XLS Basic information on environment 2005-2008. XLS Basic information on environment 2006-2009. XLS Basic information on environment 2007-2010. XLS Basic information on environment 2008-2011. XLS Basic information on environment 2009-2012. XLS Basic information on environment 2010-2013. XLS The data table structure is the same. For example, basic Information on environmental Protection 2013-2014 data table has four fields: Field 1: indicator Field 2: item Field 3:2013 Field 4:2014

    2022-01-29 593 155

  • Basic situation of technology market in Qinghai Province (1952-2020)

    Basic situation of technology market in Qinghai Province (1952-2020)

    The data set recorded the statistical data of the basic situation of technology market in Qinghai Province from 1952 to 2020. The data were divided according to the registration form of various technology contracts and the transaction amount of various technology contracts. The specific classification included technology development contracts, technology transfer contracts, technology consulting contracts and technical service contracts. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Basic information of technology market in main years 1952-2010. XLS Basic information of technology market 1978-2005. XLS Key years Basic information of technology market 1990-2004. XLS Basic information of technology market 1990-2007.XLS Main years Basic information of technology market 1990-2008. XLS Basic information of technology market 1990-2009.xLS Basic information of technology market in main years 1990-2011. XLS Key years Basic information of technology market 1990-2006.xLS Basic information of technology market in Main years 2000-2013 XLS Basic information of technology market in Main years 2000-2014 XLS Basic information of technology market in main years 2010-2015. XLS Main years Basic information of technology market 2010-2016. XLS Basic information of technology market in main years 2010-2017. XLS Basic information of technology market in Main years 2010-2018. XLS Main years Basic information of technology market 2010-2019. XLS Basic information of technology market in main years 2015-2020. XLS Basic information of technology market in Main years 1995-2012 XLS Basic information on technology market 1990-1998. XLS Technology market fundamentals 1990-1999. XLS Basic information on technology market 1990-2000. XLS Basic information on technology market 1990-2001. XLS Technology market fundamentals 1990-2002. XLS Basic information of technology market 1990-2003.xLS The data table structure is the same. For example, the technology market fundamentals 1990-1998 data table contains eight fields: Field 1: Category Field 2: units Field 3:1990 Field 4:1994 Field 5:1995 Field 6:1996 Field 7:1997 Field 8:1998

    2022-01-29 384 118

  • Industrial added value of Industrial Enterprises above Designated Size by industry in Qinghai Province (2000-2020)

    Industrial added value of Industrial Enterprises above Designated Size by industry in Qinghai Province (2000-2020)

    The data set records the statistical data of industrial added value of industrial enterprises above designated size by industry in Qinghai Province from 2000 to 2020. Data in coal mining and washing industry, oil and gas industry, ferrous metal CaiXuanYe, non-ferrous metal CaiXuanYe CaiXuanYe and other non-metallic mineral resources, mining, agricultural and sideline products processing industry, food industry, beverage manufacturing, textile industry, textile and garment, shoes, caps manufacturing, paper and paper products industry, medicine, chemical fiber, rubber products, plastic manufacturing Products, non-metallic mineral products, ferrous metal smelting and rolling processing industry, non-ferrous metal smelting and rolling processing industry, fabricated metal products, general equipment manufacturing industry, special equipment manufacturing, transportation equipment manufacturing, electric machinery and equipment manufacturing, communications equipment, computer and so on a total of 41 items. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, which are: Industrial Added Value of Industrial Enterprises above Designated Size by Industry (2012).xLS, Industrial Added Value of Industrial Enterprises above Designated Size by Industry (2013).XLS, Industrial Added Value of Industrial Enterprises Above Designated Size by Industry (2014).xls, Industrial Added Value of Industrial Enterprises Above Designated Size by Industry (2015).xls, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2000-2007 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2005-2008 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2006-2009 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2007-2010 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2008-20 XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated Size by Industry (2016). XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated size by industry (2017). XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated size by industry (2018) Growth rate and Proportion of industrial added Value of Shanghai Industrial Enterprises (2019). XLS, growth rate and Proportion of Industrial added Value of Above designated size industrial enterprises by industry in Qinghai Province (2020). XLS, etc. The data table structure is the same. For example, the 2012 data table has 4 fields: Field 1: Industry name Field 2: Industrial added value Field 3: Year-over-year increase Field 4: Total amount

    2022-01-29 554 121

  • Ownership of civil vehicles in Qinghai Province (1998-2020)

    Ownership of civil vehicles in Qinghai Province (1998-2020)

    The data set records the statistical data of civil vehicle ownership in Qinghai province from 1998 to 2020. The data are divided into passenger vehicles, cargo vehicles, other cars, motorcycles, agricultural transport vehicles, tractors, trailers, and other types of vehicles. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Main years civil vehicle ownership 2000-2005. XLS Civil automobile ownership 2010-2012 XLS Civil automobile ownership 2011-2013. XLS Civil automobile ownership 2012-2014. XLS Ownership of civil automobiles 2013-2015 XLS Ownership of civil automobiles 2014-2016. XLS Civil automobile ownership 2015-2017. XLS Civil automobile ownership 2016-2018. XLS Civil vehicle ownership 2001 2001. XLS Civil vehicle ownership 2000-2005. XLS Civil vehicle ownership 2000-2007. XLS Civil vehicle ownership 2000-2008. XLS Civil vehicle ownership 2002. XLS Civil vehicle ownership 2007-2009. XLS Civil vehicle ownership 2008-2010. XLS Civil vehicle ownership 2009-2011. XLS Civil vehicle ownership 2003. XLS Civil vehicle ownership 2004 2004. XLS Civil vehicle ownership 1998. XLS Civil vehicle ownership 1999. XLS Civil vehicle ownership 2000. XLS Civil vehicle ownership 2017-2018. XLS Civil vehicle ownership 2018-2020. XLS The data table structure is the same. For example, the 1999 data table of civil vehicle ownership has four fields: Field 1: indicator Field 2: Year Field 3: New registration Field 4: Private

    2022-01-29 426 131

  • Main indicators of real estate development in Qinghai Province (1997-2020)

    Main indicators of real estate development in Qinghai Province (1997-2020)

    This data set records the statistical data of main indicators of real estate development in Qinghai Province from 1997 to 2020, which are divided by the number of enterprises, average number of employees, land development and purchase, investment completed in the current year, subtotal of capital sources, floor area of housing, commercial housing sales area, total paid-in capital and total operating income. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables with the same structure. For example, the 2014-2018 data table has 7 fields: Field 1: indicator Field 2: Item Field 3:2014 Field 4:2015 Field 5:2016 Field 6:2017 Field 7:2018

    2022-01-29 378 272

  • Population of ethnic minorities in Qinghai Province (1952-2019)

    Population of ethnic minorities in Qinghai Province (1952-2019)

    The data set records the population of ethnic minorities in Qinghai province from 1952 to 2019. The data is divided by the total population of ethnic minorities, Tibetan, Hui, Tu, Salar, Mongolian and other ethnic groups, and the proportion of the total population in the province. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Population of ethnic minorities in the province, 1952-1998. XLS Population of ethnic minorities in the province, 1952-1999. XLS Population of ethnic minorities in The province, 1952-2000. XLS Population of ethnic minorities in the province, 1952-2001. XLS Population of ethnic minorities 1952-2002. XLS Population of ethnic minorities 1952-2003. XLS Population of ethnic minorities in main years 1952-2004. XLS Population of ethnic minorities in main years 1952-2006. XLS Population of ethnic minorities in main years 1952-2008. XLS Population of ethnic minorities in main years 1952-2009. XLS Population of ethnic minorities in main years 1982-2010. XLS Population of ethnic minorities in main years 1985-2007. XLS Population of ethnic minorities in main years 1990-2005. XLS Population of ethnic minorities in main years 2000-2011. XLS Population of ethnic minorities in main years 2006-2013. XLS Population of ethnic minorities in main years 2006-2014. XLS Population of ethnic minorities in main years 2006-2015. XLS Population of ethnic minorities in main years 2006-2016. XLS Population of ethnic minorities in main years 2006-2019. XLS Population of ethnic minorities in main years 2005-2012. XLS Population of ethnic minorities, 2006-2017. XLS Population of ethnic minorities, 2006-2018. XLS data table structure is the same. For example, the data table of the population of ethnic minorities in the province from 1952 to 1998 has 8 fields: Field 1: ethnic group Field 2:1952 Field 3:1978 Field 4:1982 Field 5:1990 Field 6:1996 Field 7:1997 Field 8:1998

    2022-01-29 6590 244

  • Number of self driving vehicles entering Qinghai Province (2008-2020)

    Number of self driving vehicles entering Qinghai Province (2008-2020)

    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

    2022-01-29 493 136

  • Basic situation of major scientific and technological achievements registration in Qinghai Province (1998-2020)

    Basic situation of major scientific and technological achievements registration in Qinghai Province (1998-2020)

    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

    2022-01-29 739 154

  • Statistics of archives administration department of Qinghai Province (2001-2020)

    Statistics of archives administration department of Qinghai Province (2001-2020)

    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

    2022-01-29 314 327

  • Basic information of star hotels in Qinghai Province (2009-2020)

    Basic information of star hotels in Qinghai Province (2009-2020)

    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

    2022-01-29 482 134

  • Contribution rate of three industries in Qinghai Province (1990-2020)

    Contribution rate of three industries in Qinghai Province (1990-2020)

    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

    2022-01-29 361 119

  • Main situation of securities industry in Qinghai Province (2013-2020)

    Main situation of securities industry in Qinghai Province (2013-2020)

    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

    2022-01-29 398 117

  • Actual sales area of commercial housing by use in Qinghai Province (1997-2020)

    Actual sales area of commercial housing by use in Qinghai Province (1997-2020)

    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

    2022-01-29 233 104

  • Total number of employed persons by industry in Qinghai Province (2010-2020)

    Total number of employed persons by industry in Qinghai Province (2010-2020)

    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

    2022-01-29 588 127

  • Number of Party members (members) of all parties in Qinghai Province (1978-2020)

    Number of Party members (members) of all parties in Qinghai Province (1978-2020)

    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

    2022-01-29 328 126