This data set records the statistical data of fiscal revenue and expenditure of Qinghai Province from 1998 to 2020. The data are based on value-added tax, business tax, enterprise income tax, enterprise income tax rebate, personal income tax, resource tax, fixed asset investment direction adjustment tax, urban maintenance and construction tax, real estate tax, stamp tax, urban land use tax, land value-added tax, vehicle and vessel tax, cultivated land occupation tax, deed tax Other tax revenue, special revenue, revenue from administrative charges, revenue from fines and confiscations, revenue from the operation of state-owned capital, income from the paid use of state-owned resources (assets), other income, etc. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 25 data tables, namely: fiscal revenue and expenditure, 1998 Xls, fiscal revenue and expenditure, 1999 Xls, fiscal revenue and expenditure (2001) Xls, fiscal revenue and expenditure (2003) Xls, financial revenue and expenditure (2018) Xls, fiscal revenue and expenditure of Qinghai Province (2016-2020) Xls, fiscal revenue and expenditure of Qinghai Province (2016-2020) 1 Xls, annual financial revenue and expenditure of Qinghai Province (2015-2019) Xls, annual financial revenue and expenditure of Qinghai Province (2015-2019) 1 Xls et al. The data table structure is the same. For example, the 2001 data table has four fields: Field 1: year Field 2: revenue Field 3: expenditure Field 4: amount
Qinghai Provincial Bureau of Statistics
The data recorded the statistical data of added value and growth rate of different industries in Qinghai province from 2015 to 2020. Data is in accordance with the animal husbandry fishery, mining, manufacturing, electricity, heat, gas and water production and supply industry, construction, wholesale and retail trade, transportation, warehousing and postal service, accommodation and catering industry, information transmission, software and information technology services, finance, real estate, leasing and business services, scientific research and technical services, water conservancy, environment and the public Management, residential services, repair and other services, education, health and social work, culture, sports and recreation, public administration, social security and social organizations. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains six data tables with the same structure. For example, the 2018 table has 12 fields: Field 1: indicator Field 2: Intem Field 3: Xining City Field 4: Haidong City Field 5: Haibei State Field 6: Huangnan Prefecture Field 7: Hainan Prefecture Field 8: Golo State Field 9: Yushu Prefecture Field 10: Haixi Field 11: Total Field 12: Growth rate
Qinghai Provincial Bureau of Statistics
The data set is recorded on an average day in qinghai province is a major social economic activities, the data according to the primary industry, secondary industry and tertiary industry, fiscal revenue, fiscal expenditure, grain, oil, meat, milk, wool, raw coal, electricity, oil, steel, crude salt, cement, daily consumption and other economic activities and the change of people every day and every day of marriage. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Composition and sequential index of gross agricultural output value in Qinghai Province in main years (calculated at comparable prices) (1952-2020) 1.xls Composition and sequential index of gross agricultural output value in Qinghai Province in major years (calculated at comparable prices) (1952-2020).xls Major years Average daily major socio-economic activity 1978-2010. XLS Main years Average daily main socio-economic activity 1985-2006. XLS Main years Average daily main socio-economic activity 1990-2004. XLS Main years Average daily main socio-economic activity 1990-2007. XLS Major years Average daily major socio-economic activity 1990-2008. XLS Major years Average daily major socio-economic activity 1990-2009. XLS Main years Average daily main socio-economic Activity 1990-2005. XLS Main years Average daily main socio-economic activities 1995-2011. XLS Major years Average daily major socio-economic activities 2000-2013. XLS Major years Average daily major socio-economic activities 2000-2014. XLS Major years Average daily major socio-economic activities 2000-2015. XLS Major years Average daily major socio-economic activities 2000-2016. XLS Major years Average daily Major socio-economic activities 2000-2017. XLS Major years Average daily major socio-economic activities 2000-2018. XLS Major years Average daily major socio-economic activities 2000-2012. XLS Average daily major socio-economic activity 1985-1998. XLS Average daily major socio-economic activity 1985-1999. XLS Average daily major socio-economic activity 1985-2000. XLS Average daily major socio-economic activity 1985-2001. XLS Average daily major socio-economic activity 1990-2002. XLS Average daily main socio-economic activities 1990-2003.xLS. The data table structure is similar. For example, the average daily data table for major socio-economic activities 1990-2007 contains seven fields: Field 1: indicator Field 2:1990 Field 3:1995 Field 4:2000 Field 5:2005 Field 6:2006 Field 7:2007
Qinghai Provincial Bureau of Statistics
The data records statistics on economic performance indicators of local industrial enterprises above designated size in Qinghai province from 2007 to 2020, divided by extractive industries, manufacturing, paper and paper products, and electricity, gas and water production and supply. 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 2016-2017 data table has 8 fields. Field 1: indicator Field 2: Item Field 3: Industrial value-added rate Field 4: Contribution rate of total assets Field 5: Asset-liability ratio Field 6: Current asset turnover Field 7: Cost expense margin Field 8: Product sales rate
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the elasticity coefficient of energy consumption in Qinghai province from 1990 to 20120. 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 18 data tables, which are: Elasticity coefficient of energy consumption, 1990-2001. XLS Elasticity coefficient of energy consumption, 1990-2002. XLS Elasticity coefficient of energy consumption 1990-2003. XLS Elasticity coefficient of energy consumption, 1990-2005. XLS Elasticity coefficient of energy consumption, 1990-2006. XLS Elasticity coefficient of energy consumption, 1990-2007. XLS Elasticity coefficient of energy consumption, 1990-2008. XLS Elasticity coefficient of energy consumption, 1990-2009. XLS Elasticity coefficient of energy consumption 1990-2010. XLS Elasticity coefficient of energy consumption, 1990-2011. XLS Elasticity coefficient of energy consumption 1990-2012. XLS Elasticity coefficient of energy consumption 1990-2013. XLS Elasticity coefficient of energy consumption 1990-2014. XLS Elasticity coefficient of energy consumption, 1990-2015. XLS Elasticity coefficient of energy consumption 1990-2016. XLS Elasticity coefficient of energy consumption 1990-2017. XLS Elasticity coefficient of energy consumption, 1990-2020. XLS Elasticity coefficient of energy consumption 2004. XLS The data table structure is the same. For example, the data table of the elasticity coefficient of energy consumption 1990-2001 contains six fields: Field 1: Year Field 2: Energy consumption increased from the previous year Field 3: Year-on-year increase in electricity consumption Field 4: GDP growth from the previous year Field 5: Elasticity coefficient of energy consumption Field 6: Elasticity coefficient of electricity consumption
Qinghai Provincial Bureau of Statistics
The data set records the level of post and telecommunications services in Qinghai province from 2000 to 2020. Average data is according to the post office in each service area, average every post respects the population, average per person per year, the number, the number of newspaper subscriptions per one hundred people every year, has a post office, the proportion of the township (town), administrative villages in postal services proportion, telephone penetration rate (including mobile phones), rural fixed telephones, mobile telephones, with public telephone number per one thousand people And the proportion of administrative villages that have been telephoned. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, all of which have the same structure. For example, the data table from 2000 to 2005 has 7 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2004 Field 7:2005
Qinghai Provincial Bureau of Statistics
The data set recorded the total retail sales of social consumer goods in Qinghai Province (by industry and region) from 1952 to 2020, divided by major years and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Yushu Prefecture, Guoluo Prefecture and Haixi Prefecture. 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 1978-2001 data table has 5 fields: Field 1: Year region Field 2: Wholesale and retail trade Field 3: Catering Field 4: Other industries Field 5: Agricultural producer
Qinghai Provincial Bureau of Statistics
The data set records the statistics of basic endowment insurance in Qinghai Province from 2000 to 2020, which are divided by the number of insured employees at the end of the period, the number of actual contributors at the end of the period, retired employees, retired employees, the number at the end of the period, retired employees, the amount of pension payable, the amount of pension actually paid, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, which are: Basic endowment insurance 2000-2001. XLS Basic endowment insurance 2000-2005. XLS Basic endowment insurance situation 2001-2002. XLS Basic endowment insurance situation 2001-2006. XLS Basic endowment insurance situation 2001-2007. XLS Basic endowment insurance from 2001 to 2008. XLS Basic endowment insurance situation 2002-2003. XLS Basic endowment insurance situation 2004. XLS Basic endowment insurance 2005-2009. XLS Basic endowment insurance 2005-2010. XLS Basic endowment Insurance 2005-2011. XLS Basic endowment Insurance 2005-2012. XLS Basic endowment insurance 2006-2013. XLS Basic endowment insurance 2010-2014. XLS Basic endowment insurance 2010-2015. XLS Basic endowment insurance in 2016. XLS Basic endowment Insurance in 2017. XLS Basic endowment Insurance in 2018. XLS Basic endowment insurance 2019-2020.xLS The data table structure is the same. For example, basic endowment insurance 2000-2001 data table has 3 fields: Field 1: indicator Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of female employment in non-private units at the end of 2011 to 2020 in different industries and regions in Qinghai Province. Data by the animal husbandry fishery, mining, manufacturing, electricity, gas and water, construction, transportation, storage and information transmission, computer, wholesale and retail trade, accommodation and catering industry, finance, real estate, leasing and business services, scientific research, technical services, water resources, environment and public, residents service and other services, education, health, social insurance Handicrafts, culture, sports and entertainment, public administration and social organizations. 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 of 2015 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 the contribution and drive of the three major demands to GDP growth in Qinghai province from 1990 to 2019. The data is divided by year. The three major demands refer to the three components of GDP in France, namely final consumption expenditure, total capital formation, and net exports of goods and services. Contribution rate refers to the ratio of three major demand increment and expenditure increment of gross domestic product in France. Pull refers to the product of GDP growth rate and three demand contribution rate. The 2006 figures were adjusted from the first agricultural census. Historical data are adjusted and revised according to economic census data. 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 2012 has 7 fields: Field 1: Year Field 2: Final Consumption expenditures -- Contribution rate Field 3: Final consumption expenditures - pull Field 4: Total capital formation -- Contribution rate Field 5: Total capital formation - pull Field 6: Net exports of goods and services - Contribution rate Field 7: Net exports of goods and services - Pull
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of foreign capital utilization in Qinghai province from 2000 to 2020 by mode, country and region. The data are divided by investment mode, country (region) and other (reinvestment by foreign-invested enterprises). The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: The amount of foreign capital used is divided by mode, country and region from 2003 to 2005. XLS The amount of foreign capital used is divided by mode and country in 2000-2001. XLS The amount of foreign capital used is divided by mode and country in 2001-2002. XLS The amount of foreign capital used is divided by mode and country from 2004 to 2006. XLS The amount of foreign capital used is divided by mode and country from 2005 to 2007. XLS The amount of foreign capital used is divided by mode and country from 2005 to 2008. XLS The amount of foreign capital utilized by mode and country 2007-2010. XLS The amount of foreign capital used is divided by mode and country from 2008 to 2011. XLS The amount of foreign capital utilized by mode and country in 2011-2012. XLS The amount of foreign capital utilized is divided by mode and country in 2012-2013. XLS The amount of foreign capital utilized is divided into 2013-2014 by mode and country. XLS The amount of foreign capital utilized is divided by mode and country in 2014-2015. XLS The amount of foreign capital utilized is divided by mode and country from 2015 to 2016. XLS The amount of foreign capital utilized is divided by mode and country in 2016-2017. XLS The amount of foreign capital utilized is divided by mode and country in 2017-2018. XLS Foreign capital utilization by mode and country by 2019-2020. XLS Use of foreign capital by mode and country or region 2006-2009. XLS Utilization of foreign capital in 2004. XLS The amount of foreign capital is divided into 2002-2003 by way and country. XLS The data table structure is the same. For example, there are three fields in the data table for 2000-2001 by mode and country: Field 1: indicator Field 2: Number of contracts Field 3: Contract foreign capital amount
Qinghai Provincial Bureau of Statistics
The recorded data sets of safeguard of townsman lowest life in qinghai province from 2006 to 2020 of statistics, data security object number (door), at the end of the guarantee number of object (people), on-the-job worker, student, 3 without object, other staff, annual subsidy funds expenditure per capita subsidies level (ten thousand yuan), month (RMB), low standard (yuan), etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, which are: Basic Living Allowances for Urban Residents 2006 -- 2007 XLS, Basic Living Allowances for Urban Residents 2006 -- 2008 XLS, Basic Living Allowances for Urban Residents 2006 -- 2009 XLS, Basic living security for Urban residents 2006-2010 XLS, Basic living security for Urban residents 2015-2020 XLS, etc. The data table structure is the same. For example, there are four fields in the 2006 table: Field 1: Year Field 2: Item Field 3: region Field 4: Other
Qinghai Provincial Bureau of Statistics
The data recorded the statistical data of the per capita living consumption expenditure of urban residents in Qinghai province by region from 2010 to 2020. The data was divided by region and year. The data were collected from annual statistical inspection of Qinghai province released by Qinghai Provincial Bureau of Statistics. The dataset contains five data tables, which are: Per capita Living consumption expenditure of Urban Residents by Region 2010-2015 XLS, per capita Living Consumption expenditure of Urban Residents by Region 2010-2016 XLS, Per capita living consumption expenditure of Urban Residents by Region 2010-2017 XLS, Per capita Living Consumption Expenditure of Urban Residents by Region 2010-2018 XLS, Per Capita Living Consumption Expenditure of Urban Residents by Region of Qinghai Province (2010-2020) XLS. The data table structure is the same. For example, the 2010-2018 data table has 11 fields: Field 1: region Field 2: Region 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
Qinghai Provincial Bureau of Statistics
The data set recorded the basic statistics of basic education in Qinghai Province in major years from 1952 to 2020, divided by year and regions such as Xining, Haidong, Haibei, Huangnan, Hainan, Goluo, Yushu and Haixi. 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 of Basic Education in Qinghai Province in main Years (1957-2020). XLS, Basic Information of Basic Education in Main Years 1952-2007. XLS, Basic Information of Basic Education in Main Years 1952-2008. XLS, Basic Information of Basic Education in Main Years 1952-2009. Basic Information of Basic Education in Major Years 1952-2010 XLS, Basic Information of Basic Education in Major years 1952-2011 XLS, Basic Information of Basic Education in Major years 1952-2012 XLS, Basic Information of Basic Education in Major years 1952-2013 XLS, Basic Education Of Major Years 1952-2014 XLS, Basic Education of Major Years 1952-2015 XLS, Basic Education of Major Years 1952-2016 XLS, Basic Education of Major Years 1957-2017 XLS, Basic information of basic education in main years 1957-2020. XLS, etc., with the same data table structure. For example, the 2018 table has 5 fields: Field 1: Year Field 2: region Field 3: Graduation rate of junior high school graduates Field 4: Graduation rate of primary school graduates Field 5: Enrolment rate of primary school-age children
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the average salary of employees employed in all units by registration type in Qinghai Province from 2009 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 11 data tables, which are: Average Wage of Employed Persons in All Units by type of registration 2010-2011. XLS, average wage of employed Persons in all Units by type of registration 2010-2012. XLS, Average wage of employed Persons in all Units by type of registration 2010-2013. XLS, Average Wage of Employed Persons in All Units by Type of registration 2010-2015. XLS, Average wage of Employed Persons in All Units by type of registration 2010-2015. XLS, Average wage of Employed Persons in all Units by type of registration 2010-2016. XLS, average wage of Employed Persons in all Units by type of registration 2010-2016. XLS, average wage of Employed Persons in all Units by type of registration 2010-2016. XLS, Average Wage of Employed Personnel in All Units by Type of Registration 2010-2017 XLS, Average Wage of Employed Personnel in All Units by Type of registration 2010-2018 XLS, Average Wage of Employed Personnel in All Units by Type of Registration (2010-2020) XLS, Average Wage of Employees by Type of Registration and Industry (2009). XLS, average wage of Employees by Type of Registration and Industry (2010). XLS. The data table structure is the same. For example, the 2010-2011 data table has 9 fields: Field 1: State-owned units Field 2: Town collective unit Field 3: Joint venture Field 4: Limited liability Company Field 5: Co., LTD Field 6: Private sector Field 7: Foreign invested units Field 8: Hong Kong, Macao and Taiwan invested units Field 9: Year
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the consumer price index of Qinghai province from 1994 to 2020. The data is divided by the total consumer price index, non-food price index, service item price index, excluding the total index of fresh vegetables and fruits, and consumer price index. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 36 data tables, which are: Consumer price index 2004. XLS Consumer price index 2001. XLS Consumer price index 2006. XLS Consumer price index 2007. XLS Consumer price index 2008. XLS Consumer Price Index 2009. XLS Consumer Price Index 2010. XLS Consumer Price Index 2011. XLS Consumer Price Index 2012. XLS Consumer Price Index 2013. XLS Consumer Price Index (2014).XLS Consumer Price Index 2015. XLS Consumer Price Index (CPI).xLS Consumer Price Index 2017.XLS Consumer Price Index (CPI) for 2018.XLS Consumer Price Index 2019. XLS Consumer Price Index 2020. XLS Consumer price sub-index 1994-2009. XLS Consumer price sub-index 1994-2010. XLS Consumer Price sub-index 1994-2011. XLS Consumer Price index by category 1994-2012. XLS Consumer Price sub-index 1994-2013. XLS Consumer Price Index 1994-2014. XLS Consumer Price Index by category 1994-2015. XLS Consumer price sub-index 2001-2005. XLS Consumer price sub-index 2001-2009. XLS Consumer price index by category 2001-2010. XLS Consumer price sub-index 2001-2006. XLS Consumer price sub-index 2001-2007. XLS Consumer price sub-index 2001-2008. XLS Consumer Price index by category 2001-2011. XLS Consumer price index 2002-2003. XLS Consumer price index 2002. XLS Consumer price index 2004. XLS Consumer price index 2006. XLS Consumer price index 2003. XLS The data table structure is the same. For example, the consumer Price index 2020 data table has four fields: Field 1: Item Field 2: City Field 3: Rural Field 4: Province
Qinghai Provincial Bureau of Statistics
The data set recorded the sown area and cropping structure of crops in Qinghai province from 1952 to 2020, divided by major years and regions such as 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 39 data tables, which are: Main crops sown area and planting structure 2000-2003. XLS Main crop planting structure 2000-2001. XLS Main crop planting structure 2001-2002. XLS Total sown area of crops in main years 1978-2004. XLS Total sown area of crops in main years 1978-2008. XLS Total sown area of crops in main years 1978-2009. XLS Total sown area of crops in main years 1978-2010. XLS Total sown area of crops in main years 1978-2011. XLS Total sown area of crops in main years 1978-2013. XLS Total sown area of crops in main years 1978-2014. XLS Total sown area of crops in main years 1978-2015. XLS Total sown area of crops in main years 1978-2016. XLS Total sown area of crops in main years 1978-2017. XLS Total sown area of crops in main years 1978-2006. XLS Total sown area of crops in main years 1978-2007. XLS Total area sown to crops in main years 1995-2005. XLS Total sown area of crops in main years 1978-2012. XLS Total sown area of crops in main years 1978-2020.xls Main year crop sown area 1978-2018.xLS Crop sown area and multiple cropping index of main years 1952-1998. XLS Crop sown area and multiple cropping index of main years 1952-1999. XLS Crop sown area and multiple cropping index of main years 1952-2000. XLS Planting area and planting structure of crops 2000-2007. XLS Planting area and planting structure of crops 2000-2005. XLS Planting area and planting structure of crops 2000-2006. XLS Crop sown area and planting structure 2004. XLS Planting area and planting structure of crops 2005-2009.xLS Planting area and planting structure of crops 2006-2010. XLS Sown area and planting structure of crops 2007-2011. XLS Crop sown area and planting structure 2008.xls Crop sown area and planting structure 2009-2012. XLS Crop sown area and planting structure 2009-2013. XLS The sown area and planting structure of crops 2010-2014. XLS Sown area and planting structure of crops 2011-2015. XLS Crop sown area and planting structure 2012-2016. XLS Crop sown area and planting structure 2013-2017.xLS Crop sown area and planting structure 2013-2018.xLS Sown area and planting structure of crops 2015-2020.xLS The data table structure is similar. For example, there are 6 fields in the data table from 2000 to 2007: Field 1: Total sown area of crops Field 2: Food crops Field 3: Cash crop Field 4: Vegetables Field 5: melons and fruits Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set recorded the basic statistics of secondary vocational education in Qinghai province in major years from 1952 to 2020, divided by year and regions such as 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 15 data tables, all of which have the same structure. For example, the 2018 table has six fields: Field 1: Number of graduates Field 2: Enrollment Field 3: Number of students enrolled Field 4: Number of staff Field 5: Full-time teacher Field 6: Student/teacher ratio
Qinghai Provincial Bureau of Statistics
The data set records the statistics of the number of elite athletes who have reached grade in qinghai province from 2001 to 2020. The data are divided by track and field, Chinese style wrestling, taekwondo, football, boxing, cycling, shooting, judo and martial arts. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, all of which have the same structure. For example, the 2001 data table has six fields: Field 1: Item Field 2: Total Field 3: International elite Field 4: Athletic Field 5: Level 1 Field 6: Level 2
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of output of major industrial products by region in Qinghai province from 2011 to 2020, Data is according to the raw coal (ten thousand tons), (ten thousand tons) of crude oil, natural gas (cubic meters), the copper ore dressing copper (tons), sodium carbonate (soda ash) (ten thousand tons), crude salt (ten thousand tons), calcium carbide, calcium carbide (ten thousand tons), electricity (million kilowatt hours), edible vegetable oil (ten thousand tons), dairy (tons), drink wine (thousand liters) (thousand liters), beer, liquor (thousand liters), cotton yarn (tons), handmade carpets, tapestries (ten thousand square meters), Chinese patent medicine (tons), cement (ten thousand tons), crude steel (ten thousand tons), steel (ten thousand tons), ferroalloy (ten thousand tons), ten kinds of non-ferrous metals (ten thousand tons). The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 10 data tables with the same structure. For example, the data table of 2013 has 8 fields: Field 1: Product name Field 2: Xining City Field 3: Haidong City Field 4: Haibei State Field 5: Huangnan Prefecture Field 6: Hainan Prefecture Field 7: Golo State Field 8: Haixi
Qinghai Provincial Bureau of Statistics
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