The data set records the statistical data of total wages of employees in all units in Qinghai Province by registration type from 2010 to 2020. The data are divided by major years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: Total wage of employed Persons in all units by type of registration 2010-2011. XLS, Total wage of employed Persons in all Units by type of registration 2010-2012. XLS, Total wage of Employed Persons in All Units by type of registration 2010-2013 XLS, Total wage of Employed Persons in All Units by type of registration 2010-2020 XLS, Total wage of Employed Persons in All Units by type of registration 2010-2014 XLS, Total wage of employed Persons in all units by type of registration 2010-2015 XLS total wage of employed Persons in all Units by type of registration 2010-2016 XLS Total wage of employed Persons in all Units by type of registration 2010-2017 XLS, Total wages of employees in all units by type of registration 2010-2018. XLS. The data table structure is the same. For example, the 2010-2011 data table has 5 fields: Field 1: Item Field 2: State-owned units Field 3: Town collective units Field 4: Private sector Field 5: Other units
Qinghai Provincial Bureau of Statistics
The data set recorded the basic situation of primary schools in Qinghai province from 1952 to 2020. The data were divided by year and regional indicators in Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, all of which have the same structure. For example, the data table from 1952 to 1998 has seven fields: Field 1: Year Field 2: Number of graduates Field 3: Enrollment Field 4: Number of students enrolled Field 5: Number of staff Field 6: Full-time teacher Field 7: Number of students per full-time teacher
Qinghai Provincial Bureau of Statistics
The dataset records the average temperature in major areas of Qinghai Province from 1998 to 2020, and the data are divided by monthly and annual average indicators. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables with the same structure. For example, the data table for 2020 has 11 fields: Field 1: month Field 2: region Field 3: Xining Field 4: Haidong Field 5: Haibei Field 6: South Yellow Field 7: Hainan Field 8: Golo Field 9: Yushu Field 10: Hersey Field 11: Golmud City
Qinghai Provincial Bureau of Statistics
The data set records the basic statistics of the non-public economy in Qinghai province from 2000 to 2020, and the data is divided by economic type and industry category. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are as follows: Index of Economic Benefit of Non-Public Industrial Enterprises (2007) 2008. XLS, Basic Conditions of Non-public Economy 2000-2002. XLS, Basic Conditions of Non-Public Economy 2000-2003. Basic Statistics on the Non-Public Sector of the Economy 2006-2010 XLS, Basic Statistics on the Non-Public Sector 2007-2011 XLS, Basic Statistics on the Non-Public Sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-Public Sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-public Sector of the Economy 2007-2010 XLS, Basic Statistics on the Non-public Sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-public sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-public sector of the Economy 2008-2011 XLS, Basic Statistics on non-public Sector of the Economy 2010-2012 XLS, Basic Statistics on Non-public Sector of the Economy 2013-2015 XLS, Basic Statistics on Non-public Sector of the Economy 2014-2016 XLS, Basic Statistics on Non-public Sector of the Economy 2015-2017 XLS, Basic Situation of Non-public Economy in Qinghai Province (2019). XLS, Basic Situation of Non-public Economy in Qinghai Province (2020). XLS. The data table structure is the same. For example, the data table from 2015 to 2017 has 7 fields: Field 1: indicator Field 2: Item Field 3: Number of households Field 4: Practitioner Field 5: Registered capital Field 6: Sales revenue or operating revenue Field 7: Total output
Qinghai Provincial Bureau of Statistics
This dataset records the statistical data of comprehensive energy balance sheet of Qinghai Province from 2000 to 2020. The data are divided by energy available for local consumption, input (-) output (+) of processing and conversion, loss and terminal consumption. 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, there are 30 fields in the data table from 2012 to 2017, among which the main fields are: Field 1: Item Field 2:2012 Field 3:2013 Field 4:2014 Field 5:2015 Field 6:2016 Field 7:2017
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the ranking of the main source areas of tourists from Qinghai province to Qinghai province from 2012 to 2020. The data are divided by the source areas of tourists from Gansu, Jiangsu, Guangdong, Xinjiang, Shaanxi, Henan, Beijing, Sichuan, Shandong and Shanghai. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains eight data tables, which are: Main source of tourists into Qinghai ranked in 2012. XLS Main source of tourists into Qinghai ranked in 2018. XLS Main source of tourists into Qinghai ranked in 2013. XLS Main source of tourists into Qinghai ranked in 2014. XLS Main source of tourists into Qinghai ranked 2015. XLS The main source of tourists into Qinghai ranked in 2016. XLS Main source of tourists into Qinghai ranked in 2017. XLS Main source of tourists into Qinghai ranked 2020. XLS The data table structure is the same. For example, there are four fields in the 2012 data table of the ranking of main source of tourists in Qinghai: Field 1: region Field 2: Out-of-province visitors Field 3: Proportion Field 4: rank
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of retail and catering chain operation in Qinghai province from 2009 to 2020, and the data is divided by registration type, industry group, business type, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, which are: Retail and catering chain operation consolidated table 2009. XLS Retail and catering chain operation comprehensive table 2010. XLS Retail chain operation comprehensive table 2011. XLS Retail chain operation comprehensive table 2012. XLS Retail chain operation comprehensive table 2013. XLS Retail chain operation comprehensive table 2014. XLS Retail chain operation comprehensive table 2015. XLS Retail chain operation comprehensive table 2016. XLS Retail chain operation comprehensive table 2017. XLS Retail chain operation comprehensive table 2018. XLS Retail chain operation comprehensive table 2019. XLS Retail chain operation comprehensive table 2020. XLS The data table structure is the same. For example, the comprehensive table of retail and restaurant chain operation in 2010 has 6 fields: Field 1: indicator Field 2: Total number of chain stores Field 3: Number of stores Field 4: Number of employees at year-end Field 5: Total purchase amount of goods in chain stores Field 6: Chain store merchandise sales
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of maternity insurance participants and fund collection in Qinghai province from 1999 to 2020. The data were divided by insurance participants, women, the number of times enjoying maternity insurance benefits in the current period, by treatment category, the number of births in the current period, the number of family planning operations, fund revenue and expenditure, insurance participants and other indicators. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: XLS, Maternity Insurance Personnel and Fund Collection (2001). XLS, Maternity Insurance Personnel and Fund Collection (2002). XLS, Maternity Insurance personnel and Fund Collection (2002). XLS, Maternity Insurance Personnel and Fund Collection (2005). XLS, Maternity Insurance Personnel and Fund Collection (2006). XLS, Maternity Insurance personnel and Fund Collection (2005). Number of Participants in Maternity Insurance and Fund Collection (2007). XLS, Number of Participants in Maternity Insurance in Qinghai Province (2014-2019). XLS, Number of Participants in Maternity Insurance in Qinghai Province (2015-2020). Maternity insurance participants and fund collection (2018). XLS, et al. The data table structure is the same. For example, the data table from 2015 to 2020 has 7 fields: Field 1: indicator Field 2:2015 Field 3:2016 Field 4:2017 Field 5:2018 Field 6:2019 Field 7:2020
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the composition of non-public economic added value in Qinghai Province from 2000 to 2020. The data are divided according to economic type, industry category and industrial structure. The data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 14 data tables, namely: the composition of non-public economic added value from 2000 to 2002. XLS, non-public economy Composition of added value 2000-2003 Xls, composition of added value of non-public economy from 2009 to 2011 Xls, composition project of non-public economic added value, 2006-2009 Xls, value added component of non - public economy, 2006 Xls, value added component of non-public economy, 2007-2010 Xls, value added component of non - public economy, 2007 Xls, non-public economic value added component project, 2008 Xls, composition project of non-public economic added value, 2010-2012 Xls, composition project of non-public economic added value, 2013-2015 Xls, composition project of non-public economic added value, 2014-2016 Xls, non-public economic value added component project, 2015-2017 Xls, composition project of non-public economic added value in Qinghai Province (2018-2019) Xls, composition project of non-public economic added value in Qinghai Province (2019-2020) xls。 The data table structure is different. For example, the data table for 2000-2002 has seven fields: Field 1: indicator Field 2: total output Field 3: add value Field 4: remuneration of workers Field 5: depreciation of fixed assets Field 6: net production tax Field 7: operating surplus
Qinghai Provincial Bureau of Statistics
The data set recorded the statistics of investment of real estate development enterprises (units) 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: Investment of Real Estate Development Enterprises (units) by Use 2000-2009 XLS, Investment of Real Estate Development Enterprises (units) by Use 2000-2010 XLS, Investment of Real Estate Development Enterprises (units) by Use 2000-2011 XLS, Investment amount of Real Estate Development Enterprises (Units) by Use 2000-2012 XLS, Investment Amount of Real Estate Development Enterprises (units) by Use 2000-2013 XLS, Investment Amount completed by Real Estate Development Enterprises (units) by Use 1997-2005 XLS, Amount of Investment Completed by Real Estate Development enterprises (Units) by Use 1997-2006 XLS, Amount of Investment Completed by Real Estate Development Enterprises (units) by Use 1997-2007 XLS, Amount of completed investment of Real estate development enterprises (units) by Use 1997-2008 XLS, Amount of Investment of Real estate development enterprises (units) by Use in Qinghai Province (2001-2020) XLS, etc. The data table structure is the same. For example, the data table from 2000 to 2009 has 6 fields: Field 1: Year region Field 2: Investment completed for the current year Field 3: Residence Field 4: Office Field 5: Commercial premises Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the main indexes of agricultural economic benefits in Qinghai province in the main years from 1952 to 2020. The data were divided by years. The per capita output value was calculated at the 1990 constant price before 2004, and the current price in 2005. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, all of which have the same structure. For example, the 2018 table has 4 fields: Field 1: Year Field 2: Food production per capita Field 3: Oil production per capita Field 4: Gross agricultural output per capita
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistical data of fixed asset investment in projects of more than 5 million yuan in Qinghai Province from 1996 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains six data tables, which are: Investment in urban fixed assets of 5 million Yuan and above (2011). XLS, investment in fixed assets of 5 million Yuan and above in the whole society (2011). XLS, investment in fixed assets of projects of 5 million Yuan and above (1996-2018). 5. XLS, Fixed asset investment Growth rate of Projects over 5 million Yuan in Qinghai Province (1996-2020) The data table structure is the same. For example, the 2011 table has 6 fields: Field 1: New project started Field 2: All completed and put into production projects Field 3: Project completion and commissioning rate Field 4: Fixed asset investment amount Field 5: Added fixed assets Field 6: Delivery utilization rate
Qinghai Provincial Bureau of Statistics
The dataset records the statistical data of permanent resident population and natural variation in Qinghai Province in major years from 1952 to 2019, and the data is divided by year. The data of 1990, 2000 and 2010 are the projections of census data of that year, and the data of other years are the projections of sample survey on population change. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2011. XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2012. XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2013 XLS. Permanent Population and Natural Fluctuations in Major Years 1952-2014. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural fluctuations in Major Years 1952-2017.xls, Permanent population and natural variation in major years 1952-2018. XLS, data table structure is the same. For example, the 2006 table has 5 fields: Field 1: Year Field 2: Resident population Field 3: Birth Field 4: Death Field 5: Natural growth
Qinghai Provincial Bureau of Statistics
The data set records the statistics of the number of foreign tourists received by Qinghai Province from 2000 to 2020 (by country), and the data are divided by the origin of Japan, South Korea, Indonesia, Malaysia, the Philippines, Singapore, Thailand, the United Kingdom, France and other countries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: The number of foreign tourists received by country in 2000-2001. XLS Number of foreign tourists received by country in 2001-2002. XLS Number of foreign tourists received by country in 2003-2005. XLS The number of foreign tourists received by country in 2004-2006. XLS Number of foreign tourists received by country in 2005-2007. XLS Number of foreign tourists received by country in 2005-2008. XLS Number of foreign tourists received by country in 2006-2009. XLS Number of foreign tourists received by country 2007-2010. XLS Number of foreign tourists received by country 2008-2011. XLS The number of foreign tourists by country in 2011-2012. XLS Number of foreign tourists received by country in 2012-2013. XLS The number of foreign tourists received by country in 2013-2014. XLS Number of foreign tourists received by country in 2014-2015. XLS The number of foreign tourists received by country in 2015-2016. XLS The number of foreign tourists received by country in 2016-2017. XLS The number of foreign tourists received by country in 2017-2018. XLS The number of foreign tourists received by country in 2018-2020. XLS Number of foreign tourists in 2004. XLS Number of foreign tourists received by country by 2002-2003.xls The data table structure is the same. For example, the number of foreign tourists received by country for 2000-2001 has three fields: Field 1: Country region Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the total output index of Qinghai Province in major years from 1952 to 2019. The data is divided by year, where the index is: the previous year is 100. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 37 data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Total output Field 2: Primary industry Field 3: Secondary industry Field 4: Tertiary industry Field 5: Agriculture, forestry, animal husbandry and fishery Field 6: Industry Field 7: Construction industry
Qinghai Provincial Bureau of Statistics
This data set records the statistics of the basic situation of lawyers, notaries and mediation work in Qinghai Province from 1998 to 2020. Data according to the lawyer, lawyer (a), a worker as perennial legal adviser (people), and the unit (point), defense and agency (piece) of criminal procedure, civil case litigation agent (a), administrative case litigation agent (a), non-litigation legal affairs (pieces), write legal documents (pieces), notarization work, handling of foreign-related notarization (a), Notary office (number), notary personnel (person), notary (person), handling domestic notarization (documents), handling foreign notarization (documents), handling notarization (documents) related to Hong Kong, Macao and Taiwan, receiving visitors (person-times), handling letters (documents), entrusting (documents) from foreign notary offices, and income from notary fees (ten thousand yuan). 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 on lawyer, notarization and mediation work 2006-2007. XLS Basic information on lawyer, notarization and mediation 1998. XLS Basic information on lawyer, notarization and mediation 1999. XLS Basic information on lawyer, notarization and mediation work 2000-2001. XLS Basic information on lawyer, notarization and mediation work 2000. XLS Basic information of lawyer, notarization and mediation work 2001-2002. XLS Basic information of lawyer, notarization and mediation work 2002-2003. XLS Basic information on lawyer, notarization and mediation work 2004-2005. XLS Basic information on lawyer, notarization and mediation work 2004.xls Basic information on lawyer, notarization and mediation work 2005-2006. XLS Basic information of lawyer, notarization and mediation work 2006-2008. XLS Basic information on lawyer, notarization and mediation work 2007-2009. XLS Basic information on lawyer, notarization and mediation work 2008-2010. XLS Basic Information on lawyer, notarization and mediation work 2009-2011. XLS Basic Statistics on lawyer, notarization and mediation work 2011-2012 XLS Basic statistics on lawyer, notarization and mediation work 2012-2013. XLS Basic Statistics on lawyer and notarial work 2013-2014 XLS Basic Statistics on lawyer and notarial work 2014-2015 XLS Basic Statistics on lawyer and notarial work 2015-2016. XLS Basic Statistics on lawyers and notarization work 2016-2017. XLS Basic Statistics on lawyers and notarization work 2017-2018. XLS Basic Statistics on lawyers and notarization work 2018-2019. XLS Basic Statistics on lawyer and notarial work 2019-2020. XLS The data table structure is similar. For example, the 2003 data table of various professional and technical personnel by industry has three fields: Field 1: Item Field 2:2006 Field 3:2007
Qinghai Provincial Bureau of Statistics
The data records statistical data on main indicators of local industrial enterprises above designated size in Qinghai province from 2008 to 2020. The data is divided by state-owned holding enterprises, registration types and industrial sectors. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset consists of 11 data tables with the same structure for each year. For example, the 2017 table has 11 fields. Field 1: Item Field 2: Item Field 3: Number of enterprise units Field 4: Loss-making enterprise Field 5: Total industrial output value Field 6: Total assets Field 7: Total current assets Field 8: Total fixed assets Field 9: Original price of fixed assets Field 10: Accumulated depreciation Field 11: Current year depreciation
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the base index of consumer price for urban and rural residents in Qinghai Province from 2009 to 2020. The total data in the consumer price index, the smoke of food price index, food (the original diameter) index, the index of non-food (diameter), the service price index, industrial goods price index, the fresh food price index, the consumer price index, the index of energy prices, the food price index, excluding food and energy prices, excluding fresh fruit price index, excluding home ownership Price index, living (deduct self-owned housing) price index, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 21 data tables, which are: Base Index of Urban and Rural Consumer Prices (2009).xls, Base Index of Urban and Rural Consumer Prices (2010).xls, Base Index of Urban and Rural Consumer Prices (2011).xls, Base Index of Urban and Rural Consumer Prices (2012).xls, Qinghai Province Consumer Price base Index for Urban and Rural Residents (2019).XLS, Qinghai Province Consumer Price base Index for Urban and Rural Residents (2020).XLS, etc. The data table structure is the same. For example, the 2012 data table has 4 fields: Field 1: Year Field 2: province Field 3: Town Field 4: Rural
Qinghai Provincial Bureau of Statistics
The data set records the growth of GDP driven by the three industries in Qinghai province from 1990 to 2020. The data is divided by year, in which industry driving refers to the product of GDP growth rate and contribution rate of each industry. 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 6 fields: Field 1: Year Field 2: Gross product Field 3: Primary industry Field 4: Secondary industry Field 5: Tertiary industry Field 6: Industry
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the basic situation of higher education institutions in Qinghai Province from 1957 to 2020. The data is divided by main years and regions such as Xining, Haidong and Haixi. The student-teacher ratio is calculated by using the educational statistical conversion method, and the student-teacher ratio is equal to the number of enrolled students/total number of teachers. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables with the same structure. For example, the data table from 1957 to 2003 has seven fields: Field 1: Year region Field 2: Number of graduates Field 3: Enrollment Field 4: Number of students enrolled Field 5: Number of staff Field 6: Full-time teacher Field 7: Faculty-student ratio
Qinghai Provincial Bureau of Statistics
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