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
This data set records the total amount and composition of primary energy production in Qinghai province from 1980 to 2020. The data is divided by year, and the coefficient of electricity converted into standard coal is calculated according to the average coal consumption of electricity generation in that year. Production and consumption shall be calculated at equal values. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 10 data tables, all of which have the same structure. For example, the 1980-1998 data table has 6 fields: Field 1: Year Field 2: Total energy production Field 3: raw coal Field 4: Crude oil Field 5: Natural gas Field 6: Water and electricity
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the average salary of employees employed in all units in Qinghai Province by registration type and industry from 2009 to 2020. Data in an ecological-economic, mining, manufacturing, electricity, gas and water, production and supply industry, construction, wholesale and retail trade, transportation, warehousing and postal service, accommodation and catering industry, information transmission, software technology services, finance, real estate, leasing and business services, scientific research and technical services, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, which are: Average wage of employees employed in all Units by Type of Registration and industry (2011). XLS, average wage of employees employed in all Units by Type of Registration and industry (2012). XLS, Average wage of Employees employed in all Units by Type of Registration and industry (2013). Average wage of employees employed in all units by Type of Registration and industry (2014). XLS, average wage of employees employed in all Units by type of registration and industry (2015). XLS, Average wage of employees employed in all Units by type of registration and industry (2016). Average wage of Employed Persons in all Units by Type of Registration and Industry (2017).xls, XLS, Average salary of Employees employed in all Units by Type of Registration and Industry in Qinghai Province (2019). XLS, Average salary of Employees employed in All Units by Type of Registration and Industry in Qinghai Province (2020). XLS, Average Labor Remuneration of Employees employed in All Units by Type of Registration and Industry (2009). XLS, Average Labor remuneration of Employees employed in All Units by Type of Registration and industry (2010). The data table structure is the same. For example, the 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
This data records the statistical data of the main indicators of Qinghai's national economic and social development since the 18th CPC National Congress of Qinghai Province in 2012-2020. The data are divided according to indicators, years, cumulative growth and average annual growth. The data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set includes three data tables, namely the 18th CPC National Congress." Main indicators of Qinghai's national economic and social development since 2012-2017 Xls, the main indicator of Qinghai's national economic and social development since the 18th CPC National Congress, 2012-2018 Xls, development of main indicators of national economic and social development in Qinghai since the 18th National Congress of the Communist Party of China, 2012-2016 xls。 The data table structure is the same. For example, the data table for 2012-2018 has 11 fields. Field 1: indicator Field 2: item Field 3: 2012 Field 4:2013 Field 5:2016 Field 6:2017 Field 8:2018 Field 9: cumulative growth Field 10: average annual growth
Qinghai Provincial Bureau of Statistics
The data set recorded the fruit and fishery production in Qinghai province from 1978 to 2020. The data were divided by total fruit output, actual orchard area at the end of the year, actual sporadic fruit trees at the end of the year, total output of aquatic products, and breeding area. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, all of which have the same structure. For example, the 1978-1998 data table has 11 fields: Field 1: indicator Field 2: units Field 3:1978 Field 4:1990 Field 5:1992 Field 6:1993 Field 7:1994 Field 8:1995 Field 9:1996 Field 10:1997 Field 11:1998
Qinghai Provincial Bureau of Statistics
The data set records the population changes in Qinghai province from 1952 to 2019, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, all of which have the same structure. For example, the data table from 1952 to 1998 has 11 fields: Field 1: Year Field 2: Year-end population Field 3: Male Field 4: Female Field 5: Town population Field 6: Rural population Field 7: Agricultural population Field 8: Non-agricultural population Field 9: Birth rate Field 10: Population mortality rate Field 11: Natural population growth rate
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of completed housing area of construction enterprises in Qinghai province from 2000 to 2020, which are divided into factory building, residential building, office building, wholesale and retail building, accommodation and catering building, residential service building, education building, culture building, sports and entertainment building, medical building, scientific research building and other building. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Construction enterprise housing completed area 2000-2001. XLS Construction enterprise housing completed area 2000-2005. XLS Construction enterprise housing completed area 2000-2006. XLS Construction enterprise housing completed Area 2000-2007. XLS Construction enterprise housing completed area 2001-2002. XLS Construction enterprise housing completed area 2002-2003. XLS Construction enterprise housing Completed Area 2003-2008. XLS Construction enterprise housing completed area 2004. XLS Construction enterprise housing Completed Area 2005-2009. XLS Construction enterprise housing Completed Area 2005-2010. XLS Construction enterprise housing Completed Area 2005-2011. XLS Construction enterprise housing Completed Area 2007-2012. XLS Construction enterprise housing Completed Area 2007-2013. XLS Completed Housing area of construction enterprises 2007-2014. XLS Housing Completed Area of construction enterprises 2010-2015 XLS Housing Completed Area of construction enterprises 2010-2016. XLS Housing Completed Area of construction enterprises 2010-2017. XLS Completed Housing area of construction enterprises 2013-2018. XLS Completed Housing area of construction enterprises 2014-2020. XLS The data table structure is the same. For example, the data table of completed housing area of construction enterprise in 2000-2001 has two fields: Field 1: Item Field 2: Area completed
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of fixed asset investment by region in Qinghai province from 2000 to 2020. The data is divided by indicators and main years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, respectively: Fixed Asset investment by Region and Industry (2015) XLS, Fixed Asset investment by Region and Industry (2016) XLS, Fixed Asset investment by Region and Industry (2017) XLS, Fixed asset investment by Region and Industry (2018) XLS, Investment in fixed assets by region 2000-2009 XLS, investment in fixed assets by region 2000-2010 XLS, Investment in Fixed assets by region 2000-2012 XLS, Investment in Fixed assets by region 2000-2013 XLS, Fixed asset investment by region 2000-2014 XLS, fixed asset investment by region 2000-2015 XLS, Fixed asset investment by region 2000-2016 XLS, Fixed asset investment by region 2000-2017 XLS, fixed asset investment by region 2001-2018 XLS, Total fixed asset investment completed by region 2000-2006 XLS, total fixed asset investment completed by region 2000-2007 XLS, total Fixed asset investment completed by region 2000-2008 XLS, Growth rate of Fixed asset investment by region of Qinghai Province (2001-2020) XLS The data table structure is the same. For example, the data table from 2001 to 2018 has 10 fields: Field 1: indicator Field 2: Item 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
Qinghai Provincial Bureau of Statistics
The dataset recorded the output of major agricultural products in Qinghai province in major years from 1978 to 2020, divided by year and regions such as Xining, Haidong, 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 33 data tables, all of which have the same structure. For example, the 1978-2004 data table has 13 fields: Field 1: Year region Field 2: Grain Field 3: Wheat Field 4: miscellaneous grains Field 5: Roots Field 6: Oil Field 7: Rapeseed Field 8: Vegetables Field 9: Fruit Field 10: Apples Field 11: Pears Field 12: Grapes Field 13: Aquatic product yield
Qinghai Provincial Bureau of Statistics
The dataset recorded statistics on tourism development by region in Qinghai province from 2010 to 2020, and included xining, Haidong, Haibei prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture, Haixi prefecture and Qinghai Lake Administration. 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 2012 data table has 4 fields: Field 1: region Field 2: Total tourism revenue Field 3: Number of tourists Field 4: Per capita expenditure
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistical data of average sales prices of commercial housing by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Hainan Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Average sales price of commercial housing by use, 1997-2005. XLS, 1997-2006. XLS, 1997-2007. XLS, 2000-2008. Average selling price of commercial housing by use 2000-2009 XLS, average selling price of commercial housing by use in Qinghai Province (2001-2020) XLS, average selling price of commercial housing by use 2000-2010 XLS, etc. The data table structure is the same. For example, the 1997-2005 data table has 6 fields: Field 1: Year region Field 2: Home sales Field 3: Residence Field 4: Office building Field 5: Commercial premises Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set records the food price index of qinghai province in 2006-2020, the data is in accordance with the food, starch and products, dry beans and bean products, oil, meat and poultry products, eggs, aquatic products, vegetables, spices, tea and drinks, dry fresh fruit bread, pastries, cookies, liquid milk and milk products, dining out, food, other food division. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, which are: Food Price Index 2006-2011, XLS, Food Price Index 2006-2012, XLS, Food Price Index 2007-2013, XLS, Food Price Index 2010-2014, XLS, Food Price Index 2010-2015, XLS, Food Price Index 2016-2017. XLS, Food Price Index 2016-2017. XLS, Food Consumer Price Index 2006-2009. XLS, Food Consumer price Index 2006-2010. Food consumer price Index 2019. XLS, food consumer price index 2020. XLS. The data table structure is the same. For example, the data table from 2006 to 2011 has 7 fields: Field 1: Category name Field 2:2006 Field 3:2007 Field 4:2008 Field 5:2009 Field 6:2010 Field 7:2011
Qinghai Provincial Bureau of Statistics
This data set records the statistical data on the total amount and composition of terminal energy charges by industry in Qinghai Province from 1997 to 2020. The data are divided by agriculture, forestry, animal husbandry and fishery, industry, construction, transportation, storage and transportation, postal industry, wholesale and retail industry, accommodation, catering industry, other industries and the life of urban and rural residents. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics The set contains 17 data tables with the same structure. For example, the data table for 2010 has five fields: Field 1: Industry Field 2: total energy consumption Field 3: raw coal consumption Field 4: gasoline consumption Field 5: electricity consumption
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the financial situation of general contracting and specialized contracting construction enterprises in Qinghai Province from 2008 to 2020. The data is divided by registration type, by national economic industry, by affiliation and by enterprise qualification level. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, all of which have the same structure. For example, the 2018 table has 8 fields: Field 1: Number of construction enterprises Field 2: Deposits and loans at the beginning of the year Field 3: Current assets Field 4: Impairment provision for fixed assets Field 5: Original price of fixed assets Field 6: Accumulated depreciation Field 7: Total assets
Qinghai Provincial Bureau of Statistics
The data set recorded the basic situation of rural areas and the statistical data of rural employees in Qinghai Province from 2000 to 2020. The data were divided by rural grassroots organizations, household number and population, rural employees and national economic industries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Basic Statistics of Rural areas and Rural Employees 2000-2005. XLS Basic Statistics of Rural areas and Rural Employees 2000-2006. XLS Basic Statistics of Rural areas and Rural Employees 2000-2007. XLS Rural basic information and rural employees 2002-2003. XLS Rural Basic Information and Rural Employees 2004. XLS Basic statistics of rural areas and Rural Employees 2005-2009. XLS Basic Statistics on Rural areas and Rural Employees 2005-2010. XLS Basic Statistics of Rural areas and Rural Employees 2005-2011. XLS Basic Statistics of Rural areas and Rural Employees 2007-2012 XLS Basic Statistics of Rural areas and Rural Employees 2008-2013 XLS Rural basic Information and Rural Employees 2008. XLS Basic Statistics on Rural areas and Rural Employees 2010-2014 XLS Basic Statistics on Rural areas and Rural Employees 2010-2015 XLS Basic Statistics on Rural areas and Rural Employees 2011-2016 XLS Basic Statistics on Rural areas and Rural Employees 2012-2017. XLS Basic Statistics on Rural areas and Rural Employees 2013-2018 XLS Basic Statistics on Rural areas and Rural Employees 2014-2019. XLS Basic Statistics on Rural areas and Rural Employees 2015-2020 XLS The data table structure is the same. For example, the 2002-2003 data table of rural basic information and Rural Employment has 6 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2003 is % of 2002
Qinghai Provincial Bureau of Statistics
The data set recorded the statistics of real sales of commercial housing by use in Qinghai province from 1997 to 2020, divided by main years 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 14 data tables, which are: Real sales of commercial housing by use 2000-2010 XLS, real sales of commercial housing by use 1997-2005 XLS, real sales of commercial housing by use 1997-2006 XLS, real sales of commercial housing by use 1997-2007 Actual sales of commercial housing by use 2000-2008. XLS, actual sales of commercial housing by use 2001-2020, etc. The data table structure is the same. For example, the data table from 2000 to 2010 has 6 fields: Field 1: Year region Field 2: Home sales Field 3: Residence Field 4: Office building Field 5: Commercial premises Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the basic situation of insurance business in Qinghai province from 1998 to 2020, and the data were divided into property insurance premium income, life insurance premium income, property insurance indemnity payout, life insurance indemnity payout, etc. 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 about Insurance Business 1999-1999 Basic Information about Insurance Business 2000-2001 Basic Information about Insurance Business 2000-2002 Basic Information about Insurance Business 1999-2001 Basic Information about Insurance Business 1999-2001 Basic Information about Insurance Business 2000-2002 Basic Information about Insurance business 1999-2001 Basic Information about Insurance business 1999-2001 Basic Information about Insurance business 1999-2001 Basic Information about Insurance business 2000-2002 Basic Information about Insurance Business 2002-2003. XLS, Basic Information about Insurance Business 2003-2005. XLS, Basic Information about Insurance Business 2004. 2006. XLS, Basic Information about Insurance Business 2004. Basic Information about Insurance Business 20052008. XLS, Basic Information about Insurance Business 2006-2009. XLS, Basic Information about Insurance Business 2006-2010. Basic Information of Insurance Business 2008-2013 XLS, Basic Information of Insurance Business 2010-2014 XLS, Basic Information of Insurance Business 2010-2015 XLS, Basic Information of Insurance Business 2011-2016 XLS, Basic Information of Insurance Business 2012-2017 Basic Information of Insurance Business 2013-2018 basic Information of Insurance Business of XLS and Qinghai Province (2013-2019) XLS and Qinghai Province (2013-2019) 1. Basic Information of insurance Business of XLS and Qinghai Province (2015-2020) XLS and Qinghai Province (201 5-2020) 1. XLS. The data table structure is the same. For example, the 1998 table had four fields: Field 1: Year Field 2: Amount Field 3: Item Field 4: Other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of total export value of Qinghai Customs by country and region from 2002 to 2015 and 2019-2020, which are divided by Asia, Africa and Europe. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Total export value by country and region by customs 2003-2005. XLS Total value of exports by country and region by customs 2004-2006. XLS Total value of customs exports by country and region 2005-2007. XLS Total value of exports by country and region 2007-2008. XLS Total value of exports by country and region 2008-2009. XLS Total value of exports by country and region by Customs 2009-2010. XLS Total value of exports by country and region by Customs 2010-2011. XLS Total export value by country and region by customs 2011-2012. XLS Total export value by country and region by customs 2012-2013. XLS Total export value by country and region by customs 2013-2014. XLS Total export value by country and region by customs 2014-2015. XLS Total export value by country and region by customs 2016 XLS Total value of customs exports by country and region in 2017. XLS Total value of customs exports by country and region 2018. XLS Total value of customs exports by country 2000-2001. XLS Total value of customs exports by country 2001-2002. XLS Customs export value by country and region 2004. XLS Total export value by country and region by customs 2002-2003.xLS The data table structure is the same. For example, there are 6 fields in the table of total export value by country and region 2003-2005: Field 1: Country region Field 2:2002 Field 3:2003 Field 4: Country region Field 5:2002 Field 6:2003
Qinghai Provincial Bureau of Statistics
The dataset recorded statistics on the balance of RMB loans from financial institutions in Qinghai Province from 1952 to 2018, divided by major years and regions such as Xining, Haidong, Haibei prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture and Yushu Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 34 data tables, which are: Main year RMB deposit balance of financial institutions 2011.xls Main years RMB deposit balance of financial institutions 1952-2004. XLS Main years RMB deposit balance of financial institutions 1952-2008. XLS Main years RMB deposit balance of financial institutions 1952-2009. XLS Main years RMB deposit balance of financial institutions 1952-2010. XLS Main years RMB deposit balance of financial institutions 1952-2006.xLS Main years RMB deposit balance of financial institutions 1952-2007. XLS Main years RMB deposit balance of financial institutions 1978-2005. XLS Main years RMB loan balance of financial institutions 1952-2004. XLS Main years RMB loan balance of financial institutions 1952-2009. XLS Main years RMB loan balance of financial institutions 1952-2006. XLS Main years RMB loan balance of financial institutions 1952-2007. XLS Main years RMB loan balance of financial institutions 1978-2005. XLS Main years RMB loan balance of financial institutions 1999-2008 XLS Main years RMB loan balance of financial institutions 2010-2011 XLS Main year RMB loan balance of financial institutions 2010.xls Main years RMB loan balance of financial institutions 2010-2012 XLS Financial institutions RMB deposit balance 2012 you.xls Balance of RMB deposits of financial institutions 2011-2013. XLS Balance of RMB deposits of financial institutions 2011-2014. XLS Balance of RMB deposits of financial institutions in 2015. XLS Balance of RMB deposits of financial institutions in 2016. XLS Balance of RMB deposits of financial institutions in 2017. XLS Balance of RMB deposits of financial institutions in 2018. XLS Balance of RMB deposits of financial institutions in 2019. XLS Balance of RMB deposits of financial institutions in 2020. XLS Balance of RMB loans of financial institutions 2010-2013. XLS Balance of RMB loans of financial institutions 2010-2014. XLS Balance of RMB loans of financial institutions in 2015. XLS Balance of RMB loans of financial institutions in 2016. XLS Balance of RMB loans of financial institutions in 2017. XLS Balance of RMB loans of financial institutions in 2018. XLS Balance of RMB loans of financial institutions in 2019. XLS Balance of RMB loans of financial institutions 2020. XLS The data table structure is the same. For example, the 2012 data table of RMB deposit balance of financial institutions has 8 fields: Field 1: Year region Field 2: Total Field 3: Unit deposit Field 4: Demand deposit Field 5: Time deposits Field 6: Personal deposits Field 7: Savings deposits Field 8: Financial deposits
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of posts and telecommunications enterprises in Qinghai Province from 1998 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 21 data tables, all of which have the same structure. For example, the 1998 table had seven fields: Field 1: Postal business Field 2: Telecom service Field 3: Correspondence Field 4: Express Mail Field 5: Telephone service Field 6: Correspondence business Field 7: Newspaper distribution business
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistical data of total energy consumption and composition in Qinghai province from 1980 to 2020, and the data were divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 21 data tables, which are: Total energy consumption and composition, 1990-2001. XLS Total energy consumption and Composition, 1990-2002. XLS Total energy consumption and composition 1990-2003. XLS Total energy consumption and composition, 1990-2005. XLS Total energy consumption and composition, 1990-2006. XLS Total energy consumption and composition, 1990-2007. XLS Total energy consumption and Composition, 1990-2008. XLS Total energy consumption and Composition, 1990-2009. XLS Total energy consumption and Composition 1990-2010. XLS Total energy consumption and Composition, 1990-2011. XLS Total energy consumption and Composition, 1990-2012. XLS Total energy consumption and Composition 1990-2013. XLS Total energy consumption and Composition 1990-2014. XLS Total energy consumption and Composition, 1990-2015. XLS Total energy consumption and Composition 1990-2016. XLS Total energy consumption and Composition 1990-2017. XLS Total energy consumption and Composition, 1990-2020. XLS Total energy consumption and composition 2004. XLS Total energy consumption and Composition, 1980-1998. XLS Total energy consumption and Composition, 1980-1999. XLS Total energy consumption and Composition, 1980-2000. XLS The data table structure is the same. For example, total energy consumption and composition 1980-1998 data table has 6 fields: Field 1: Year Field 2: Total energy consumption Field 3: Raw coal composition Field 4: Crude oil composition Field 5: Natural gas composition Field 6: Water and electricity composition
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistics of 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, Hainan, Haixi and Huangnan. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Housing Area Of Real Estate Development Enterprises (Units) By Use 1997-2005 XLS, Housing Area of Real Estate Development Enterprises (Units) By Use 1997-2006 XLS, Housing Area of Real Estate Development Enterprises (Units) By Use 1997-2007 XLS, Housing Area Newly Started by Real Estate Development Enterprises (Units) by Use 2000-2008 XLS, Housing Area Newly Started by Real Estate Development Enterprises (Units) by Use 2000-2009 XLS...... Newly Started Housing Area of Real Estate Development enterprises (units) by Use 2000-2018. XLS et al., Newly started Housing area of Real Estate Development enterprises (units) by Use in Qinghai Province (2001-2020). XLS. 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: Commercial business Field 3: Office building Field 4: Other
Qinghai Provincial Bureau of Statistics
The data set records statistics on the per capita income and expenditure of urban and rural residents nationwide from 2010 to 2020, Data according to the national and Beijing, tianjin, hebei, shanxi, Inner Mongolia, liaoning, jilin, heilongjiang, Shanghai, jiangsu, zhejiang, anhui, fujian, jiangxi, shandong, henan, hubei, hunan, guangdong, guangxi, hainan, chongqing, sichuan, guizhou, yunnan, Tibet, shaanxi, gansu, qinghai, ningxia, xinjiang and so on. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, which are: Per capita Income and Expenditure of Urban and Rural Residents 2010-2015 XLS, Per capita Income and expenditure of Urban and Rural Residents 2010-2016 Per capita income and expenditure of Urban and Rural Residents in Qinghai Province (2010-2019). XLS, Per capita income and expenditure of Urban and Rural Residents in Qinghai Province (2010-2020). XLS, etc. The data table structure is the same. For example, the data table from 2010 to 2015 has three fields: Field 1: indicator Field 2: Per capita disposable income Field 3: Consumption expenditure per capita
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of changes of registered urban unemployed in Qinghai province in major years from 1980 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 data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Year Field 2: Total number of unemployed persons Field 3: Number of carryovers from previous year Field 4: New additions for the year Field 5: Number of unemployed persons placed for employment in the current year Field 6: Actual number of unemployed persons at the end of this year Field 7: Registered urban unemployment rate
Qinghai Provincial Bureau of Statistics
This data set records the altitude elevation of the main tourist attractions in Qinghai Province from 2002 to 2020. The data are based on the main tourist attractions in Qinghai Province, such as thar temple, Qinghai Lake, Qutan temple, kambula National Forest Park, the former residence of the 10th Panchen Lama, Mengda Tianchi, longbaotan black necked Crane nature reserve, the source of the Yangtze River, Chaerhan Salt Lake, bird island, Huzhu Beishan National Forest Park, the source of the Yellow River and a Nimaqing mountain, Jinyintan grassland scenery, bukadaban peak, Kunlun mountain pass, BeiChan temple, Qinghai Museum, Laoye Mountain, Huzhu Beishan National Forest Park, Jiezi mosque, Wendu temple, xiazong temple, Xiaqiong temple, Youning temple, Riyue mountain, Daotang River, Longyang Gorge, Qinghai Lake Resort, Yuhuangge, Chaka Salt Lake, atomic City, Lijiaxia gorge, Nanzong temple, Longwu temple Maixiu forest farm, Tubo burial tomb, Dulan international hunting ground and Hoh Xil no man's land. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 19 data tables: The elevation of the main tourist attractions in the province was in 2002 xls The elevation of the main tourist attractions in the province was in 2003 xls The elevation of the main tourist attractions in the province was in 2004 xls The elevation of the main tourist attractions in the province was in 2006 xls The elevation of the main tourist attractions in the province was in 2007 xls The elevation of the main tourist attractions was in 2007 xls The elevation of the main tourist attractions in 2008 xls The elevation of main tourist attractions was in 2009 xls The elevation of main tourist attractions was in 2010 xls Elevation of main tourist attractions in 2011 xls Elevation of main tourist attractions in 2012 xls Elevation of main tourist attractions in 2013 xls Elevation of main tourist attractions in 2015 xls Elevation of main tourist attractions in 2016 xls Elevation of main tourist attractions in 2017 xls The elevation of the main tourist attractions will be in 2019 xls Elevation of main tourist attractions in Qinghai Province (2019) xls Elevation of main tourist attractions in Qinghai Province (2020) xls The elevation of the main tourist attractions in Qinghai Province (2020) is 1 xls , the data table structure is the same. For example, there are three fields in the elevation (2003) data table of major tourist attractions in the province: Field 1: name of tourist attraction Field 2: altitude (m) Field 3: geographic location
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of construction and installation enterprises in Qinghai province in major years from 1958 to 2020. The data is divided by the number of enterprises, employees, total output value of construction industry and corresponding years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 16 data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Year Field 2: State-owned enterprises Field 3: Collective enterprise Field 4: Limited liability Company Field 5: Co., LTD Field 6: Private enterprise Field 7: Hong Kong, Macao, Taiwan and foreign invested enterprises
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of producer price index (PPI) in Qinghai province from 1989 to 2020 by production stage and category of industrial products. The data are divided into core index, high technology, energy, primary products, intermediate products, final products and other industries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains four data tables, which are: Producer Price Indices by Stage of production and category of industrial products 1989-2016 XLS, 2011-2017 XLS, 1989-2016 Producer Price Index (PPI) by Production stage and category of Industrial products (2011-2018) XLS and Producer Price Index (2011-2020) of Qinghai Province by production stage and category of Industrial products (2011-2020) XLS The data table structure is the same. For example, the data table from 2011 to 2017 has 8 fields: Field 1: indicator Field 2:2011 Field 3:2012 Field 4:2013 Field 5:2014 Field 6:2015 Field 7:2016 Field 8:2017
Qinghai Provincial Bureau of Statistics
The recorded data set limitation above in qinghai province in 1998-2020 wholesale and retail trade sales enterprise, the data is according to the grain, edible vegetable oil, sugar, cotton, TV, audio systems, video camera, video recorder, VCD, household refrigerators, household washing machine, air conditioner, microwave oven room, ordinary telephone, mobile telephone, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 30 data tables, all of which have the same structure. For example, the 1998 table had seven fields: Field 1: Item Field 2: Sales volume Field 3: Wholesale Field 4: Production Field 5: Exit Field 6: Retail Field 7: Month-end inventory
Qinghai Provincial Bureau of Statistics
This data set records the mechanical changes of population in Qinghai Province from 1952 to 2018. The data is divided by year. The data is the annual report data of the provincial public security department. The immigration and emigration population after 1985 are inter provincial immigration and emigration. The data in 1952 is based on the China population · Qinghai volume published by China finance and Economics Press Based on relevant data. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 25 data tables: Changes of population and machinery in Qinghai Province in Main Years (1990-2019) xls Changes in population and machinery in major years 1952-2004 xls Changes in population and machinery in major years 1952-2008 xls Changes in population and machinery in major years 1952-2009 xls Changes in population and machinery in major years 1952-2010 xls Changes in population and machinery in major years 1952-2011 xls Changes in population and machinery in major years 1952-2012 xls Changes in population and machinery in major years 1952-2013 xls Changes in population and machinery in major years 1952-2014 xls Changes in population and machinery in major years 1952-2015 xls Changes in population and machinery in major years 1952-2016 xls Changes in population and machinery in major years 1952-2006 xls Changes in population and machinery in major years 1952-2007 xls Mechanical changes in population in Main Years 1987-2005 xls Changes in population and machinery in major years 1990-2017 xls Changes in population and machinery in major years 1990-2018 xls Main population changes 1952-2001 xls Main population changes 1952-2002 xls Population changes 1952-2003 xls Changes in population machinery, 1952-2002 xls Changes in population and machinery, 1952-2003 xls Changes of population and machinery in the whole province from 1952 to 1998 xls Changes of population and machinery in the whole province from 1952 to 1999 xls Changes of population and machinery in the whole province from 1952 to 2000 xls Changes of population and machinery in the whole province from 1952 to 2001 The XLS data table has the same structure. For example, there are five fields in the 1952-1998 data table of population and machinery changes in the province: Field 1: year Field 2: number of people Field 3: migration rate Field 4: number of people Field 5: emigration rate
Qinghai Provincial Bureau of Statistics
This data set records the statistical data on the basic situation of cadres of Qinghai women's Federation from 1998 to 2020. The data are divided by administrative level, cadre age, cadre political outlook and cadre education level. The data is compiled from the Qinghai statistical yearbook issued by Qinghai Provincial Bureau of statistics. The data set contains 38 data tables with the same structure. For example, the data table from 2011 to 2014 There are 5 fields: Field 1: Project Field 2:2011 Field 3: 2012 Field 4:2013 Field 5:2014
Qinghai Provincial Bureau of Statistics
"The data records statistics on the number of non-private employment in Qinghai province by type of registration and industry at the end of the year from 2011 to 2020. The data are grouped by enterprises, institutions and organs, and by industry of the national economy. 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 2018 table has six fields: Field 1: Item Field 2: Item Field 3: Total Field 4: State-owned units Field 5: Town collective units Field 6: Other units
Qinghai Provincial Bureau of Statistics
"This data set records the statistical data of the basic situation of households in Qinghai Province from 2013 to 2020. The data are divided by the number of sample households, households within the period, permanent resident labor force, permanent resident employees and housing. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: Basic Information of Households 2013-2014 XLS Basic information of Households 2014-2015 XLS Basic information of Households 2016-2017. XLS Basic information of Households in 2016. XLS Basic information on Households 2017-2018. XLS Basic information of households in 2019. XLS Basic Information of Households 2020. XLS The data table structure is the same. For example, basic household information 2013-2014 data table has 7 fields: Field 1: indicator Field 2: All households Field 3: Urban households Field 4: Rural households Field 5: All households Field 6: Urban households Field 7: Rural households
Qinghai Provincial Bureau of Statistics
"The data set recorded the statistical data of forestry production in Qinghai province from 1978 to 2020. The data were divided by forest operation, afforestation area in the year, regeneration area of lost land, area of closed mountain afforestation, sporadic (four sides) tree planting, seedling area, area of young forest tending operation, area of mature forest tending, output of key forest products, volume of timber cutting, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Forestry production 1978-1998. XLS Forestry production 1978-1999. XLS Forestry production 1978-2000. XLS Forestry production 1978-2001. XLS Forestry production 1978-2002. XLS Forestry production 1978-2003. XLS Forestry production 2000-2008. XLS Forestry production 2004. XLS Forestry production 2005-2009. XLS Forestry production 2005-2010. XLS Forestry production 2005-2011. XLS Forestry production situation 2006. XLS Forestry production 2007-2012. XLS Forestry production situation 2007. XLS Forestry production 2008-2013 XLS Forestry production 2008-2014 XLS Forestry production 2008. XLS Forestry production 2010-2015. XLS Forestry production 2011-2016 XLS Forestry production 2012-2017. XLS Forestry Production 2013-2018. XLS Forestry production 2014-2019. XLS Forestry production 2015-2020. XLS The data table structure is the same. For example, the data table on forestry production 1978-1998 contains six fields: Field 1: indicator Field 2:1978 Field 3:1990 Field 4:1994 Field 5:1996 Field 6:1997
Qinghai Provincial Bureau of Statistics
"This data set records the basic situation of wholesale and retail trade above designated size in Qinghai Province from 2012 to 2020. The data is divided according to registration types and industrial groups of the national economy. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 11 data tables, all of which have the same structure. For example, the 2012 data table has 6 fields: Field 1: indicator Field 2: Number of corporate entities Field 3: Practitioner Field 4: Total sales Field 5: Wholesale Field 6: Retail
Qinghai Provincial Bureau of Statistics
"The dataset recorded statistics on the construction area and cost of real estate development and construction in Qinghai province from 1997 to 2020, divided by year and regions such as Xining, Haidong, Haibei, Hainan, Haixi and Huangnan. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables. For example, the 1997-2006 data table has 6 fields: Field 1: Year region Field 2: Floor area under construction Field 3: Area of completed premises Field 4: Completion rate of floor area Field 5: Value of completed home Field 6: Completed housing cost
Qinghai Provincial Bureau of Statistics
"The data set records the statistical data of the number of patent applications accepted and granted in Qinghai province in major years from 1978 to 2020, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Number of patent applications accepted and granted in Qinghai Province in main years (1990-2020). XLS Number of patent applications accepted and granted 1978-2003. XLS Number of patent applications accepted and granted 1985-1998. XLS Number of patent applications accepted and granted 1985-1999. XLS Number of patent applications accepted and granted 1985-2000. XLS Number of patent applications accepted and granted 1985-2001. XLS Number of patent applications accepted and granted 1985-2002. XLS Number of patent applications accepted and granted 1978-2010 XLS Number of patent applications accepted and granted 1985-2004. XLS Number of patent applications accepted and granted in main years 1985-2008. XLS Number of patent applications accepted and granted 1985-2009. XLS Number of patent applications accepted and granted 1985-2011. XLS Number of patent applications accepted and granted 1985-2006.XLS Number of patent applications accepted and granted 1985-2007.XLS Number of patent applications accepted and granted 1990-2013 XLS Number of patent applications accepted and granted 1990-2014. XLS Number of patent applications accepted and granted 1990-2015. XLS Number of patent applications accepted and granted in main years 1990-2016 XLS Number of patent applications accepted and granted 1990-2017. XLS Number of patent applications accepted and granted 1990-2018. XLS Number of patent applications accepted and granted in main years 2004-2005. XLS The number of patent applications accepted and granted in main years (1990-2012).XLS, with the same data table structure. For example, the 2018 table has three fields: Field 1: Year Field 2: Number of applications Field 3: Amount of authorization
Qinghai Provincial Bureau of Statistics
"The data set records the statistical data of the elasticity coefficient of energy production in Qinghai Province from 1990 to 2020. The data are divided by years, and the growth rate of GDP is calculated at comparable prices. 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 production, 1990-2001. XLS Elasticity coefficient of energy production, 1990-2002. XLS Elasticity coefficient of energy production 1990-2003. XLS Elasticity coefficient of energy production, 1990-2005. XLS Elasticity coefficient of energy production, 1990-2006. XLS Elasticity coefficient of energy production, 1990-2007. XLS Elasticity coefficient of energy production, 1990-2008. XLS Elasticity coefficient of energy production, 1990-2009. XLS Elasticity coefficient of energy production, 1990-2010. XLS Elasticity coefficient of energy Production, 1990-2011. XLS Elasticity coefficient of energy Production, 1990-2012. XLS Elasticity coefficient of energy Production 1990-2013. XLS Elasticity coefficient of energy Production 1990-2014. XLS Elasticity coefficient of energy production, 1990-2015. XLS Elasticity coefficient of energy production, 1990-2016. XLS Elasticity coefficient of energy Production, 1990-2017. XLS Elasticity coefficient of energy production, 1990-2020. XLS Elasticity coefficient of energy production 2004. XLS The data table structure is the same. For example, the data table of elasticity coefficient of energy production 1990-2001 contains six fields: Field 1: Year Field 2: Energy production increased from the previous year Field 3: Year-on-year increase in electricity production Field 4: GDP growth from the previous year Field 5: Elasticity coefficient of energy production Field 6: Elasticity coefficient of electric power production
Qinghai Provincial Bureau of Statistics
"This data set records the statistical data of energy self-sufficiency rate of Qinghai Province from 1980 to 2020. The data are divided by year. The data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 21 data tables, respectively: Energy self-sufficiency rate 1980-1998 xls Energy self-sufficiency rate 1980-1999 xls Energy self-sufficiency rate 1980-2000 xls Energy self-sufficiency rate 1990-2001 xls Energy self-sufficiency rate 1990-2002 xls Energy self-sufficiency rate 1990-2003 xls Energy self-sufficiency rate 1990-2005 xls Energy self-sufficiency rate 1990-2006 xls Energy self-sufficiency rate 1990-2007 xls Energy self-sufficiency rate 1990-2008 xls Energy self-sufficiency rate 1990-2009 xls Energy self-sufficiency rate 1990-2010 xls Energy self-sufficiency rate 1990-2011 xls Energy self-sufficiency rate 1990-2012 xls Energy self-sufficiency rate 1990-2013 xls Energy self-sufficiency rate 1990-2014 xls Energy self-sufficiency rate 1990-2015 xls Energy self-sufficiency rate 1990-2016 xls Energy self-sufficiency rate 1990-2017 xls Energy self-sufficiency rate 1990-2020 xls Energy self-sufficiency rate, 2004 xls The data table structure is the same. For example, the data sheet of energy self-sufficiency rate from 1980 to 1998 has four fields: Field 1: year Field 2: total energy production Field 3: total energy consumption Field 4: energy self-sufficiency rate
Qinghai Provincial Bureau of Statistics
"The dataset recorded the statistical data on the utilization of FDI in Qinghai province from 1958 to 2018, and the data were divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 24 data tables, which are: Overview of fdi utilization in Qinghai Province in main years (1985-2020). XLS Overview of foreign investment utilization in main years 1958-2016. XLS Overview of foreign investment utilization in main years 1985-2004. XLS Overview of foreign investment utilization in main years 1985-2008. XLS Overview of foreign investment utilization in main years 1985-2009. XLS Overview of foreign investment utilization in main years 1985-2010. XLS Overview of foreign investment utilization in main years 1985-2011. XLS Overview of Foreign investment utilization in main years 1985-2013. XLS Overview of Foreign investment utilization in main years 1985-2014. XLS Overview of Foreign investment utilization in main years 1985-2015. XLS Overview of Foreign investment utilization in main years 1985-2017. XLS Overview of Fdi utilization in main years 1985-2018. XLS Overview of foreign investment utilization in main years 1985-2006. XLS Overview of foreign investment utilization in main years 1991-2007. XLS Overview of foreign investment utilization in main years 2000-2005. XLS Overview of Foreign investment utilization in main years 1985-2012. XLS Utilization of foreign capital 2001. XLS Utilization of foreign capital 2002. XLS Utilization of foreign capital 2000. XLS Utilization of foreign capital 2004. XLS Utilization of foreign capital 2003. XLS Overview of foreign investment utilization 1985-2001. XLS Overview of foreign investment utilization 1985-2002. XLS Overview of foreign investment utilization 1985-2003. XLS The data table structure is the same. For example, there are three fields in the data table for 1985-2001: Field 1: Item Field 2: Amount of foreign capital utilized by the contract Field 3: Amount of foreign capital actually utilized"
Qinghai Provincial Bureau of Statistics
"The dataset recorded the statistical data of rural individual fixed assets and housing construction in Qinghai Province from 1985 to 2020, and the data were divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: Rural personal Fixed Assets and Housing Construction 1985-2010. XLS Rural individual fixed asset Investment and Housing Construction 1985-2001. XLS Rural individual fixed asset Investment and Housing Construction 1985-2002. XLS Rural individual fixed assets investment and Housing Construction 1985-2003. XLS Rural individual fixed asset Investment and Housing Construction 1985-2005. XLS Rural individual fixed asset Investment and Housing Construction 1985-2006. XLS Rural individual fixed asset Investment and Housing Construction 1985-2007. XLS Rural individual fixed asset Investment and Housing Construction 1985-2008. XLS Rural individual Fixed asset Investment and Housing Construction 1985-2009. XLS Rural Individual Fixed asset Investment and Housing Construction 1985-2011. XLS Rural Individual Fixed asset Investment and Housing Construction 1985-2012. XLS Rural Individual Fixed asset Investment and Housing Construction 1985-2013. XLS Rural Individual fixed asset Investment and Housing Construction 1985-2014. XLS Rural individual fixed asset Investment and Housing Construction 1985-2015. XLS Rural individual fixed asset Investment and Housing Construction 1985-2016. XLS Rural individual fixed asset Investment and Housing Construction 1985-2017. XLS Rural individual fixed asset Investment and Housing Construction 1985-2018. XLS Rural Individual Fixed asset Investment and Housing Construction 1985-2020. XLS Rural individual fixed asset Investment and Housing Construction 2004. XLS The data table structure is the same. For example, the data table of rural individual fixed assets and housing construction from 1985 to 2011 has 7 fields: Field 1: Year Field 2: Total investment Field 3: By source of investment Field 4: By investment direction Field 5: Floor area of building under construction Field 6: Gross area of completed premises Field 7: Completed housing cost"
Qinghai Provincial Bureau of Statistics
"The data set recorded the statistical data of rural electric power, farmland water conservancy construction and material consumption in Qinghai Province from 2000 to 2020. The data were divided by rural electric power, farmland water conservancy construction, agricultural chemical fertilizer application amount (discounted), agricultural plastic film use amount, agricultural diesel use amount and pesticide use amount, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Construction of rural electric power, irrigation and water conservancy and material consumption 2000-2005. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2000-2006. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2000-2007. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2002-2003. XLS Construction of rural electric power, irrigation and water conservancy and material consumption in 2004.xls Rural electric power, irrigation and water conservancy construction and material consumption 2005-2009. XLS Rural power, irrigation and water conservancy construction and material consumption 2006-2010. XLS Rural power, irrigation and water conservancy construction and material consumption 2007-2011. XLS Rural electric power, irrigation and water conservancy construction and material consumption 2008-2012. XLS Construction of rural electricity, irrigation and water conservancy and material consumption in 2008. XLS Rural power, irrigation and water conservancy construction and material consumption 2009-2013. XLS Rural power, irrigation and water conservancy construction and material consumption 2009-2014. XLS Rural power, irrigation and water conservancy construction and material consumption 2010-2015. XLS Rural power, irrigation and water conservancy construction and material consumption 2011-2016. XLS Rural power, irrigation and water conservancy construction and material consumption 2012-2017. XLS Rural power, irrigation and water conservancy construction and material consumption 2013-2018. XLS Rural power, irrigation and water conservancy construction and material consumption 2014-2019. XLS Rural power, irrigation and water conservancy construction and material consumption 2015-2020. XLS The data table structure is the same. For example, the data table of rural electricity, irrigation and water conservancy construction and material consumption from 2000 to 2006 has 9 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2004 Field 7:2005 Field 8:2006 Field 9:2006 is % of 2005"
Qinghai Provincial Bureau of Statistics
"The data set recorded the statistical data of the main economic indicators of construction industry in Qinghai province from 2004 to 2020 according to the level of qualification. The data were divided according to the level of qualification, general construction contract, professional contract, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Main Economic Indicators of Construction By Qualification (2004).xLS, Main Economic Indicators of Construction by Qualification (2005).XLS, Main Economic Indicators of Construction by Qualification (2006).xLS, Main Economic Indicators of Construction by Qualification (2008).XLS, Main Economic Indicators of Construction by Qualification (2009).xLS... Main Economic Indicators of Construction Industry by Level of Qualification (2018). XLS, Main Economic Indicators of Construction Industry by Level of Qualification (2019). XLS, Main Economic Indicators of Construction Industry by Level of Qualification (2019). Main economic indicators of Construction industry in Qinghai Province by Qualification Grade (2019) 3. XLS, Main economic indicators of Construction industry in Qinghai Province by qualification grade (2020). XLS, Main economic indicators of Construction industry in Qinghai Province by qualification grade (2020) 1 Ls, Main economic Indicators of Construction industry in Qinghai Province by qualification level (2020) 3.XLS, etc. The data table structure is the same. For example, the 2002 table has six fields: Field 1: indicator Field 2: Total construction output value Field 3: Output value of construction project Field 4: Output value of installation project Field 5: Other output values Field 6: Value of completed value"
Qinghai Provincial Bureau of Statistics
"The data set records the opening up to the mountains of qinghai province in 2002-2020 statistical data, the data is in accordance with the nima QingFeng, each pull dandong peak, the two presidents of the peak, the new qingfeng-xiangguang fracture, the peak, wrong, the deep, yuzhu peak, jade virtual essential is peak, horse aperture, hubei ice, five xuefeng mountain, big xuefeng, mount tunggula, dragon ara peak, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables with the same structure. For example, the table for 2019 has four fields: Field 1: Mountain name Field 2: Altitude Field 3: Mountain system Field 4: Geographic location"
Qinghai Provincial Bureau of Statistics
"The data set records the basic situation of the above designated accommodation and catering industry in Qinghai Province from 2011 to 2020. The data are divided by registered types, domestic enterprises, foreign-invested enterprises, national economic industries, tourist hotels, catering industry, and registration types. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains nine data tables, all of which have the same structure. For example, the 2011-2012 data table has 5 fields: Field 1: Item Field 2: Number of corporate Enterprises (PCS) Field 3: Turnover (ten thousand yuan) Field 4: Room Revenue (ten thousand yuan) Field 5: Meal income (ten thousand yuan)"
Qinghai Provincial Bureau of Statistics
"Year of the data set recorded in qinghai province is mainly agricultural mechanization and grassland construction statistics, the data is according to the agricultural mechanization, the actual mechanical ploughing area, the area sown to the mechanical, mechanical harvesting area, grassland, enclosure grassland area, on the construction of artificial grass reserved area of rat damage area, years and years pest damage such as division of the area. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, all of which have the same structure. For example, the data table from 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
"The data set recorded the statistics of fiscal revenue and expenditure in Qinghai province in major years from 1952 to 2020, divided by year and regions such as Xining, Haidong, 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 22 data tables, all of which have the same structure. For example, the 2018 data table has 9 fields: Field 1: Year Field 2: region Field 3: Total revenue Field 4: State financial subsidies and other income Field 5: Public finance budget revenue Field 6: Center Field 7: Place Field 8: Public finance budget expenditure Field 9: Local public finance budget revenue"
Qinghai Provincial Bureau of Statistics
"The data set recorded the basic information of adoption, subsistence allowance, services and aging in Qinghai province from 2012 to 2020. Data by the safeguard of townsman lowest life, the number of families of safeguard of townsman lowest life, the subsistence allowances for rural residents, rural dweller lowest life to ensure family number, rural households, the number of orphans, the focus on five guarantees, the number of medical conditions, rural five guarantees supporting pension, accessorial entitled groups, the number of the elderly and the disabled, the total number, pension services The number of social service institutions providing accommodation and the number of elderly population over 60 years old. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The data set contains 8 data tables, respectively: adoption, subsistence allowance, services, basic information on aging 2012-2013. XLS, Basic Information on adoption, subsistence allowance, Services and Aging, 2013-2014. XLS, Basic Information on Adoption, Subsistence allowance, Services and Aging 2013-2015 XLS, Basic Information on Adoption, Subsistence Allowance, Services and Aging 2014-2016 XLS, Basic Information on Adoption, Subsistence allowance, Services and Aging 2015-2017 XLS, Basic Information on Adoption, Subsistence allowance, Services and Aging 2015-2017 XLS, Basic Information on Adoption, Subsistence allowance, Services and Aging 2015-2017 XLS, Basic Information on Adoption, Subsistence allowances, Services and Aging 2016-2018 XLS, Basic Information on Adoption, Subsistence allowances, Services and Aging 2018-2019 XLS, Basic Information on Adoption, Subsistence allowances, Services and Aging 2019-2020 XLS The data table structure is the same. For example, the 2012-2013 data table has three fields: Field 1: Item Field 2:2012 Field 3:2013"
Qinghai Provincial Bureau of Statistics
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