The data set records the statistical data of the top ten minerals in Qinghai Province, which are classified by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 13 data tables, which are: the minerals with the reserve of retained resources in Qinghai Province in the top ten of the country (1997). XLS, the minerals with the reserve of retained resources in Qinghai Province in the top ten of the country (1998). XLS, the minerals with the reserve of retained resources in Qinghai Province in the top ten of the country (2000). XLS, the minerals with the reserve of retained resources in Qinghai Province in the top ten of the country (2002). XLS , the mineral resources with the reserve of Qinghai Province in the top ten in China (2003). XLS, the mineral resources with the reserve of Qinghai Province in the top ten in China (2005). XLS, the mineral resources with the reserve of Qinghai Province in the top ten in China (2006). XLS, the mineral resources with the reserve of Qinghai Province in the top ten in China (2007) table 1-3. XLS, the mineral resources with the reserve of Qinghai Province in the top ten in China (2007) table 1-3 The top ten minerals (2010). XLS, the top ten minerals in Qinghai Province in China (2011). XLS, the top ten minerals in Qinghai Province in China (2012). XLS, etc. The data table structure is the same. For example, the data table in 2002 has four fields: Field 1: Rank Field 2: mineral name Field 3: content Field 4: number of minerals
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
The data set records the statistical data of construction machinery and housing construction in Qinghai province according to the qualification level, and the data is divided by industry, region, purpose, etc. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables: construction machinery and housing construction by qualification grade (2004). XLS, construction machinery and housing construction by qualification grade (2006). XLS, construction machinery and housing construction by qualification grade (2007). XLS, construction machinery and housing construction by qualification grade (2008). XLS. The data table structure is the same. For example, the data table in 2004 has four fields: Field 1: year Field 2: Project Field 3: Total Field 4: other
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 statistical data of construction contracts and contracting completion in Qinghai province according to the qualification level, and the data is divided by industry, region, use, etc. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of six tables: output value of construction industry and completion of contract signing by qualification grade (2002). XLS, output value of construction industry and completion of contract signing by qualification grade (2003). XLS, output value of construction industry and completion of contract signing by qualification grade (2004). Xls, output value of construction industry and completion of contract signing by qualification grade Xls in 2005, construction contract and contract completion by qualification grade (2006). XLS, construction contract and contract completion by qualification grade (2007). XLS. The data table structure is the same. For example, the data table in 2007 has four fields: Field 1: Indicators Field 2: number of enterprises Field 3: number of employees Field 4: output value
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of capital construction investment in Qinghai province according to the source of funds and affiliation, and the data is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. According to the data set of 1978-xls-2003, it is divided into four parts: capital investment source and capital investment source. The data table structure is the same. For example, there are four fields in the data table from 1978 to 2002 Field 1: year Field 2: source of funds Field 3: Membership Field 4: other
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of Qinghai province's renovation investment according to the source of funds and affiliation, and the data is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains four tables, which are: 1981-2001.xls by capital source and affiliation, 1981-2002.xls by capital source and affiliation, 1981-2003.xls by capital source and affiliation, and 2004.xls by capital source and affiliation. The data table structure is the same. For example, there are four fields in the data table from 1981 to 2004 Field 1: year Field 2: source of funds Field 3: Membership Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of fixed assets investment of the whole society in Qinghai Province by source of funds, and the data is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables, which are: fixed asset investment of the whole society 1987-1998.xls by source of funds, fixed asset investment of the whole society 1987-1999.xls by source of funds, and fixed asset investment of the whole society 1987-2000.xls by source of funds. The data table structure is the same. For example, there are four fields in the data table from 1987 to 1998 Field 1: year Field 2: domestic loans Field 3: Foreign Investment Field 4: Other Investments
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of rural collective fixed assets in Qinghai province according to the source of funds, and the data is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables: rural collective fixed assets 1992-1998.xls by source of funds, rural collective fixed assets 1992-1999.xls by source of funds, and rural collective fixed assets 1992-2000.xls by source of funds. The data table structure is the same. For example, there are four fields in the data table from 1992 to 1998 Field 1: Project Field 2: year Field 3: amount
Qinghai Provincial Bureau of Statistics
"The data set records the statistical data of producer price index by use in Qinghai Province, and the data are divided by year. 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 Use 1989-2016 XLS, producer Price Indices by Use 1990-2017 XLS, 1989-2016 Producer Price Index by Use (1990-2018). XLS, Producer Price Index of Qinghai Province by Use (1990-2020). XLS. The data table structure is the same. For example, the data table from 1989 to 2016 has 11 fields: Field 1: Total index Field 2: Light industry Field 3: Heavy industry Field 4: Production data Field 5: Extractive industries Field 6: Raw material industry Field 7: Processing industry Field 8: Food category Field 9: Clothing category Field 10: General commodities Field 11: Consumer durables"
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 recorded the statistics of investment of real estate development enterprises (units) by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining, Haidong, Haibei prefecture, Hainan Prefecture, And Huangnan Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Investment of Real Estate Development Enterprises (units) by Use 2000-2009 XLS, Investment of Real Estate Development Enterprises (units) by Use 2000-2010 XLS, Investment of Real Estate Development Enterprises (units) by Use 2000-2011 XLS, Investment amount of Real Estate Development Enterprises (Units) by Use 2000-2012 XLS, Investment Amount of Real Estate Development Enterprises (units) by Use 2000-2013 XLS, Investment Amount completed by Real Estate Development Enterprises (units) by Use 1997-2005 XLS, Amount of Investment Completed by Real Estate Development enterprises (Units) by Use 1997-2006 XLS, Amount of Investment Completed by Real Estate Development Enterprises (units) by Use 1997-2007 XLS, Amount of completed investment of Real estate development enterprises (units) by Use 1997-2008 XLS, Amount of Investment of Real estate development enterprises (units) by Use in Qinghai Province (2001-2020) XLS, etc. The data table structure is the same. For example, the data table from 2000 to 2009 has 6 fields: Field 1: Year region Field 2: Investment completed for the current year Field 3: Residence Field 4: Office Field 5: Commercial premises Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set recorded the actual sales area of commercial housing by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining, Haidong, Haibei prefecture, Hainan Prefecture, And Huangnan Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Actual Sales Area of commercial Housing by Use 1997-2005 XLS, Actual Sales Area of commercial Housing by Use 1997-2006 XLS, Actual Sales Area of commercial Housing by Use 1997-2007 XLS, Actual Sales Area of commercial Housing by Use 2000-2008 Actual Sales Area of Commercial Housing by Use 2000-2009. XLS, Actual Sales Area of Commercial Housing by Use in Qinghai Province (2001-2020). XLS, et al. The data table structure is the same. For example, the data table from 1997 to 2005 has 4 fields: Field 1: Year region Field 2: Housing sales area Field 3: Office building Field 4: Other
Qinghai Provincial Bureau of Statistics
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 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 records the statistical data of Qinghai province's renovation investment by use, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables, which are: renovation investment 1996-1998.xls by use, renovation investment 1997-1999.xls by use, renovation investment 1997-2000.xls by use, renovation investment completion 1979-2001.xls by use, renovation investment completion 1979-2002.xls by use. The data table structure is the same. For example, there are three fields in the data table from 1996 to 1998 Field 1: Indicators Field 2: year Field 3: amount
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of capital construction investment and number of projects in Qinghai province according to the scale of projects, and the data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables: capital construction investment and number of projects by project scale, 1978-2001.xls; capital construction investment and number of projects by project scale, 1978-2002.xls; capital construction investment and number of projects by project scale, 1978-2003.xls; capital construction investment and number of projects by project scale, 1978-2004.xls. The data table structure is the same. For example, there are seven fields in the data table from 1978 to 2001 Field 1: Year Region Field 2: Project Investment Field 3: Construction Project Field 4: number of completed projects
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the amount of consumer goods owned by every 100 Urban Households in Qinghai province according to the income level. The data are divided by industry, region, affiliation and income level. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 12 tables, which are: per 100 households of Urban Households by income class (2001). XLS, per 100 households of Urban Households by income class (2003). XLS, per 100 households of Urban Households by income class (2006). XLS, per 100 households of Urban Households by income class Ownership (2007). XLS, per 100 households of Urban Households by income class (2008). XLS, per 100 households of Urban Households by income class (2009). XLS, etc. The data table structure is the same. For example, the data table in 2001 has five fields: Field 1: Project Field 2: Average Field 3: high income Field 4: medium income Field 5: low income
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of employees at the end of the year according to the three industries in Qinghai Province, and the data are divided by industry, region, subordinate relationship, etc. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables: the number of employees at the end of the year by three industries 1952-2001.xls, the number of employees at the end of the year by three industries 1952-2002.xls, and the number of employees at the end of the year by three industries 1952-2003.xls. The data table structure is the same. For example, there are three fields in the data table from 1952 to 2001 Field 1: year Field 2: Practitioners Field 3: Industry
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of rural collective fixed assets investment in Qinghai Province by industry and investment project, and the data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables: 1992-1999.xls of rural collective fixed assets investment by industry and investment project, 1992-2000.xls of rural collective fixed assets investment by industry and investment project, 1992-1998.xls of rural collective fixed assets investment by construction nature and industry. The data table structure is the same. For example, there are three fields in the data table from 1992 to 1999 Field 1: Indicators Field 2: year Field 3: amount
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of urban fixed assets investment in Qinghai Province grouped by industry and four pillars, and the data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 11 tables, which are: urban fixed asset investment 2001-2005.xls grouped by industry and four pillars, urban fixed asset investment 2001-2006.xls grouped by industry and four pillars, urban fixed asset investment 2001-2007.xls grouped by industry and four pillars, urban fixed asset investment 2001-2008.xls grouped by industry and four pillars, Investment in fixed assets by industry and four pillars (2001). XLS, investment in fixed assets by industry and four pillars (2002). XLS, investment in fixed assets by industry and four pillars (2003). XLS, etc. The data table structure is the same. For example, there are two fields in the data table from 2001 to 2005 Field 1: Indicators Field 2: year
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of completed investment in Qinghai Province in this year grouped by industry and agricultural weight, and the data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables, which are: 1998.xls for the year grouped by industry and agriculture, 1999.xls for the year grouped by industry and agriculture, and 2000.xls for the year grouped by industry and agriculture. The data table structure is the same. For example, the data table in 1998 has five fields: Field 1: indicator name Field 2: Infrastructure Field 3: update Field 4: Other Investments Field 5: real estate development
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of foreign capital amount of fdi contracts in Qinghai province by industry from 2000 to 2020. Data in an ecological-economic, extractive industries, manufacturing, electricity, gas and water production and supply, construction, transportation, warehousing and postal service, wholesale and retail trade, accommodation and catering industry, real estate, leasing and business services, scientific research, technical services, water environment, the residents of public service and other services, health, sports and social FuLiYe, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, which are: Volume of Foreign Direct Investment Contracts by Sector (2003). XLS, Volume of Foreign Direct Investment Contracts by Sector 2000-2001. XLS, Volume of Foreign Direct Investment Contracts by Sector 2001-2002. XLS, Volume of Foreign Direct investment Contracts by Sector 2003-2005. Volume of Foreign Direct Investment Contracts by Sector 2004-2009.xLS, Volume of Foreign Direct Investment Contracts by Sector 2006-2009.xLS, Volume of Foreign Direct investment Contracts by sector 2004-2006.xLS, Volume of Foreign Direct investment Contracts by sector 2005-2007.xls, Volume of Foreign Direct Investment Contracts by Sector 2005-2008 XLS, Volume of Foreign Direct Investment Contracts by Sector 2007-2010 XLS, Volume of Foreign Direct investment Contracts by Sector 2008-2011 XLS, Volume of Foreign Direct investment Contracts by Sector 2011-2012 XLS, Total Amount of Foreign Direct Investment Contracts by Sector 2012-2013 XLS, Total Amount of Foreign Direct Investment Contracts by Sector 2013-2014 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2014-2015 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2015-2016 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2013-2014 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2014-2015 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2015-2016 Total Amount of Foreign Direct investment Contracts by Industry 2016-2017 XLS, Total Amount of Foreign direct investment contracts by Industry of Qinghai Province 2018-2019 XLS, Total Amount of Foreign direct investment contracts by industry of Qinghai Province 2017-2018 XLS, Total Amount of Foreign direct investment contracts by industry of Qinghai Province 2019-2020 XLS, etc. The data table structure is the same. For example, the 2004-2006 data table has three fields: Field 1: Industry Field 2: Item Field 3: Amount
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the main financial indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan by industry in Qinghai Province. The data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables: main financial indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan by industry in 1998. XLS; main financial indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan by industry in 1999. XLS; main financial indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan by industry in 1999 Major financial indicators of industrial enterprises in 2000.xls. The data table structure is the same. For example, the data table in 1998 has three fields: Field 1: Industry Field 2: Enterprise Field 3: gross industrial product
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of total wages of employees in all units employed by industry in Qinghai Province. Data in an ecological-economic, mining, manufacturing, electricity, gas and water production and supply industry, construction, transportation, warehousing and postal service, information transmission, computer services and software industry, wholesale and retail trade, accommodation and catering industry, finance, real estate, leasing and business services, scientific research, technical services and geological KanZhaYe, water conservancy, environment and the public Administrative services, residential and other services, education and health, social security and social welfare, 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 9 data tables, which are: Total wages of employees employed in all units by Industry (2011).xls, Total wages of Employees employed in all Units by Industry (2012).xls, Total wages of Employees employed in all Units by Industry (2010-2013).xls, Total wages of Employees employed in all Units by Industry (2010-2014).xls, Total wages of all Employed persons in All units by industry 2011-2015 XLS, Total wages of All Employed Persons in all Units by industry 2011-2016 XLS, Total wages of All Employed Persons in All Units by industry (2015-2020) XLS, etc. The data table structure is the same. For example, the 2011 table has two fields: Field 1: Item Field 2:2010 Field 3: 2011
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of main indicators of construction enterprises by industry in Qinghai Province, and the data is divided by industry, region, affiliation and registration type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Main Indicators of Construction Enterprises by Sector (2003). XLS, Main Indicators of Construction Enterprises by Sector (2004). XLS, Main Indicators of Construction Enterprises by Sector (2006). XLS, Main Indicators of Construction Enterprises by Sector (2007). XLS, Main Indicators of Construction Enterprises by Sector (2008). Main Indicators of Construction Enterprises by Sector (2009). XLS, Main Indicators of Construction Enterprises by Sector (2011). XLS, Main Indicators of Construction Enterprises by Sector (2012). XLS, Main Indicators of Construction Enterprises by Sector (2013). XLS, Main Indicators of Construction Enterprises by Sector (2014). Main Indicators of Construction Enterprises by Sector (2015).XLS,... Main Indicators of Construction Enterprises by Industry in Qinghai Province (2019). XLS, Main indicators of Construction Enterprises by Industry in Qinghai Province (2020). XLS, etc. The data table structure is the same. For example, the 2003 table has 4 fields: Field 1: Number of enterprises Field 2: Number of employees Field 3: Gross product Field 4: Category
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of economic benefit index of industrial enterprises in Qinghai Province, which are divided by industry, region and subordinate relationship. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains six tables, which are: economic benefit index of industrial enterprises by industry (2001). XLS, economic benefit index of industrial enterprises by industry (2003). XLS, economic benefit index of industrial enterprises by industry (2006). XLS, economic benefit index of industrial enterprises by industry (2002). Xls, economic benefit index of industrial enterprises by industry Economic benefit index (2004). XLS, economic benefit index of industrial enterprises classified by industry (2006). XLS. The data table structure is the same. For example, the data table in 2001 has four fields: Field 1: industry name Field 2: industrial added value Field 3: Growth Field 4: Proportion
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of industrial added value of industrial enterprises above designated size by industry in Qinghai Province from 2000 to 2020. Data in coal mining and washing industry, oil and gas industry, ferrous metal CaiXuanYe, non-ferrous metal CaiXuanYe CaiXuanYe and other non-metallic mineral resources, mining, agricultural and sideline products processing industry, food industry, beverage manufacturing, textile industry, textile and garment, shoes, caps manufacturing, paper and paper products industry, medicine, chemical fiber, rubber products, plastic manufacturing Products, non-metallic mineral products, ferrous metal smelting and rolling processing industry, non-ferrous metal smelting and rolling processing industry, fabricated metal products, general equipment manufacturing industry, special equipment manufacturing, transportation equipment manufacturing, electric machinery and equipment manufacturing, communications equipment, computer and so on a total of 41 items. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, which are: Industrial Added Value of Industrial Enterprises above Designated Size by Industry (2012).xLS, Industrial Added Value of Industrial Enterprises above Designated Size by Industry (2013).XLS, Industrial Added Value of Industrial Enterprises Above Designated Size by Industry (2014).xls, Industrial Added Value of Industrial Enterprises Above Designated Size by Industry (2015).xls, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2000-2007 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2005-2008 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2006-2009 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2007-2010 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2008-20 XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated Size by Industry (2016). XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated size by industry (2017). XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated size by industry (2018) Growth rate and Proportion of industrial added Value of Shanghai Industrial Enterprises (2019). XLS, growth rate and Proportion of Industrial added Value of Above designated size industrial enterprises by industry in Qinghai Province (2020). XLS, etc. The data table structure is the same. For example, the 2012 data table has 4 fields: Field 1: Industry name Field 2: Industrial added value Field 3: Year-over-year increase Field 4: Total amount
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of urban fixed assets investment in Qinghai Province by industry and region, and the data is divided by industry, region, subordinate relationship and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains four tables, which are: urban fixed asset investment by industry and region (2006). XLS, urban fixed asset investment by industry and region (2007). XLS, urban fixed asset investment by industry and region (2008). XLS, urban fixed asset investment by industry and region (2005). Xls. The data table structure is the same. For example, the data table in 2006 has two fields: Field 1: type Field 2: Region
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of economic benefit index of large and medium-sized industrial enterprises in Qinghai Province by industry, and the data is divided by industry, region, subordinate relationship and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains six tables, which are: economic benefit index of large and medium-sized industrial enterprises by industry (2001) 2001.xls, economic benefit index of large and medium-sized industrial enterprises by industry (2003). XLS, economic benefit index of large and medium-sized industrial enterprises by industry (2004) 2004.xls, economic benefit index of large and medium-sized industrial enterprises by industry (2006) 2007.xls, The economic benefit index of large and medium-sized industrial enterprises by industry is 2002.xls, and the economic benefit index of large and medium-sized industrial enterprises by industry is 2006.xls. The data table structure is the same. For example, the data table in 2001 has five fields: Field 1: Indicators Field 2: industrial value added rate Field 3: contribution rate of total assets Field 4: asset liability ratio Field 5: product sales rate
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the number of 500000 yuan construction and production projects in cities and towns of Qinghai Province by industry, and the data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 12 data tables, which are: the number of construction and production projects with RMB 500000 by industry (2015). XLS; the number of construction and production projects with RMB 500000 by industry (2016). XLS; the number of construction and production projects with RMB 500000 by industry (2006) in 2007. XLS; the number of construction and production projects with RMB 500000 by industry (2007) in 2008. XLS; the number of construction and production projects with RMB 500000 by industry (2007) in 2008 The number of construction and production projects with RMB 500000 yuan in cities and towns (2008) in 2008.xls, and the number of construction and production projects with RMB 500000 yuan in cities and towns (2009). XLS, etc. by industry. The data table structure is the same. For example, the data table in 2015 has four fields: Field 1: Industry Field 2: Construction Project Field 3: completed project Field 4: completion rate
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of Qinghai province's investment in renovation measures by industry of national economy, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains five data tables, which are: investment in renovation measures 1996-1998.xls by national economy industry, investment in renovation 1997-1999.xls by national economy industry, investment in renovation 1997-2000.xls by national economy industry, investment in renovation 1998-2001.xls by national economy industry, investment in renovation by national economy industry Xls, 1999-2002. The data table structure is the same. For example, there are three fields in the data table from 1996 to 1998 Field 1: Department Field 2: year Field 3: investment amount
Qinghai Provincial Bureau of Statistics
The data set records the export statistics of Qinghai Province by country (region), and the data are divided by industry, region and subordinate relationship. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains three data tables, which are: foreign trade exports by country (region) 1997-1998.xls, foreign trade exports by country (region) 1998-1999.xls, foreign trade exports by country (region) 1999-2000.xls. The data table structure is the same. For example, there are two fields in the data table from 1997 to 1998 Field 1: Country Field 2: amount
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of capital construction investment in Qinghai province according to the composition and construction nature, and the data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables: capital investment 1978-2001.xls by composition and nature of construction, capital investment 1978-2002.xls by composition and nature of construction, capital investment 1978-2003.xls by composition and nature of construction, and capital investment 2004.xls by composition and nature of construction. The data table structure is the same. For example, the data table from 1978 to 2001 has three fields: Field 1: year Field 2: building installation Field 3: equipment purchase
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of Qinghai province's renovation investment according to the composition and construction nature, and the data is divided by industry, region and subordinate relationship. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables: 1978-2001.xls by composition and construction nature, 1978-2002.xls by composition and construction nature, 1978-2003.xls by composition and construction nature, and 2004.xls by composition and construction nature. The data table structure is the same. For example, the data table from 1978 to 2001 has three fields: Field 1: year Field 2: building installation Field 3: equipment purchase
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 data set records the statistical data of producer ex factory price index of Qinghai Province by industry sector, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains three data tables, which are: Industrial producer price index by industrial sector 1989-2001.xls, industrial producer price index by industrial sector 2001-2014.xls, industrial producer price index by industrial sector 2001-2015.xls. The data table structure is the same. For example, there are two fields in the data table from 2001 to 2014: Field 1: Indicators Field 2: year
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of investment completed in Qinghai Province in this year grouped by various caliber, and the data is divided by industry, region, type, etc. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains three data tables, which are: 1998.xls for the year grouped by various dimensions, 1999.xls for the year grouped by various dimensions, and 2000.xls for the year grouped by various dimensions. The data table structure is the same. For example, the data table in 1999 has five fields: Field 1: Indicators Field 2: Infrastructure Field 3: update Field 4: Other Investments Field 5: real estate development
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of fixed asset investment of projects with over 500000 yuan in Qinghai province according to various dimensions, and the data is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 12 data tables, which are: investment in fixed assets of projects above 500000 yuan (2009). XLS; investment in fixed assets of projects above 500000 yuan (2008). XLS; investment in fixed assets of projects above 500000 yuan (2007). XLS; investment in fixed assets of projects above 500000 yuan (2006). XLS, It is divided into fixed asset investment (2010). XLS of projects with a value of more than 500000 yuan and fixed asset investment (2011). XLS of projects with a value of more than 500000 yuan. The data table structure is the same. For example, the data table in 2009 has three fields: Field 1: Indicators Field 2: Town Field 3: non farmers
Qinghai Provincial Bureau of Statistics
"This data set records the statistical data of the completion of the investment in fixed assets in Qinghai province by region from 2002 to 2020. The data are divided by the total amount of investment, the type of registration, the source of funds, the composition, the newly added fixed assets in this year, and the building area, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: Total investment in Fixed assets of the Whole Society by Region (2002), total investment in Fixed assets of the Whole Society by region (2003).xls, total Investment in Fixed assets of the whole Society by region (2004).xls, Total Investment in Fixed assets by region (2005).xls, Total Social Fixed asset Investment by Region (2006) XLS, Total Social Fixed asset investment by region (2007) XLS, Total Social Fixed asset investment by region in Qinghai Province (2019) XLS, Total Social Fixed asset investment by region in Qinghai Province (2020) XLS, The completion of investment in fixed assets of the whole society by region (2008). XLS, the completion of investment in fixed assets of the whole society by region (2009). XLS, etc. The data table structure is the same. For example, the 2012 data table has 9 fields: Field 1: Type Field 2: Xining City Field 3: Haidong region Field 4: Haibei State Field 5: Huangnan Prefecture Field 6: Hainan Prefecture Field 7: Golo State Field 8: Yushu Prefecture Field 9: Haixi"
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the average salary of employees in non-private units by registration type and industry in Qinghai Province from 2011 to 2020. The data are divided by province, by enterprises, institutions and organs, by national economic industry, education, health and social work, culture, sports and entertainment industry, public administration, social security, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 10 data tables, which are: Average Wage of Employed Staff and Workers in Non-Private Sector by Type of Registration and Industry (2011). XLS, Average Wage of Employed Staff and Workers in Non-Private Sector by Type of Registration and Industry (2012). XLS, Average Wage of Employed Staff and Workers in Non-Private Sector by Type of Registration and Industry (2013). Average Wage of Employed Staff and Workers in Non-Private Units by Type of Registration and Industry (2014). XLS, Average Wage of Employed Staff and Workers in Non-Private Units by Type of Registration and Industry (2015). XLS, Average Wage of Employed Staff and Workers in Non-Private Units by Type of Registration and Industry (2016). Average Wage of Employed Staff and Workers in Non-Private Sector by Type of Registration and Industry (2017).xls, Average salary of Employed Staff and workers in Non-private Units by Type of Registration and Industry in Qinghai Province (2019). XLS average salary of Employed Staff and Workers in Non-private Units by Type of Registration and Industry in Qinghai Province (2020). XLS 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
The data set records the statistical data of total wages of employees in all units in Qinghai Province by registration type from 2010 to 2020. The data are divided by major years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: Total wage of employed Persons in all units by type of registration 2010-2011. XLS, Total wage of employed Persons in all Units by type of registration 2010-2012. XLS, Total wage of Employed Persons in All Units by type of registration 2010-2013 XLS, Total wage of Employed Persons in All Units by type of registration 2010-2020 XLS, Total wage of Employed Persons in All Units by type of registration 2010-2014 XLS, Total wage of employed Persons in all units by type of registration 2010-2015 XLS total wage of employed Persons in all Units by type of registration 2010-2016 XLS Total wage of employed Persons in all Units by type of registration 2010-2017 XLS, Total wages of employees in all units by type of registration 2010-2018. XLS. The data table structure is the same. For example, the 2010-2011 data table has 5 fields: Field 1: Item Field 2: State-owned units Field 3: Town collective units Field 4: Private sector Field 5: Other units
Qinghai Provincial Bureau of Statistics
The data set 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
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
This data set records the statistical data of the number of legal person units and industrial activity units grouped by registration type in Qinghai Province, which is divided by industry, region and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables, namely: the number of legal entities and industrial activity units grouped by registration type in 2000.xls, the number of legal entities and industrial activity units grouped by registration type in 2002.xls, and the number of legal entities and industrial activity units grouped by registration type in 2003.xls. The data table structure is the same. For example, the data table in 2000 has three fields: Field 1: region category Field 2: number of legal entities Field 3: number of multi industry legal entities
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the implementation of the "National Sports Commission exercise standards" in Qinghai Province, which is divided by industry and region. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains eight data tables, each of which has the same structure. For example, the data table in 2001 has five fields: Field 1: Project Implementation of standard number 2 field Field 3: number of students with exercise standard Field 4: number of students who should participate in standard activities Field 5: the number of students who actually participated in the standard activities
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the number of legal person units and industrial activity units in Qinghai Province by industry, and the data is divided by industry and region. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of seven tables: the number of legal person units and industrial activity units by industry in 1998. XLS, the number of legal person units and industrial activity units by industry in 1999. XLS, the number of legal person units and industrial activity units by industry in 2000. XLS, the number of legal person units and industrial activity units by industry in 2002. XLS, the number of legal person units and industrial activity units by industry in 2002 The number of person units and industrial activity units is. XLS in 2003, the number of legal person units, industrial activity units and employees grouped by industry is. XLS in 2013, and the basic information of enterprise legal person grouped by industry is. XLS in 2013. The data table structure is the same. For example, the data table in 2013 has three fields: Field 1: Industry Field 2: corporate entity Field 3: enterprise industrial activity unit
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of legal person units and industrial activity units grouped by regions in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 10 tables, which are: number of industrial activity units grouped by region and unit category (2002). XLS, number of industrial activity units grouped by region and unit category (2003). XLS, number of legal entities grouped by region and unit category (2002). XLS, number of legal entities grouped by region and unit category (2003). XLS, number of legal entities grouped by region and unit category (2002), The number of legal person units and industrial activity units grouped by Region (2002) 2002. XLS, the number of legal person units and industrial activity units grouped by Region (2003). XLS, the number of legal person units and industrial activity units grouped by Region 1998. XLS, the number of legal person units and industrial activity units grouped by Region 1999. XLS, the number of legal person units and industrial activity units grouped by Region 2000 Xls, the number of legal entities, industrial activity units and employees grouped by region, 2015. XLS. The data table structure is the same. For example, the data table in 2002 has four fields: Region: 1 field Field 2: all industries Field 3: production and operation industries Field 4: non production and operation industries
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of real estate development and operation in Qinghai province according to the registration type and affiliation, and the classification of data affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables: real estate development and operation by registration type and affiliation 1998.xls, real estate development and operation by registration type and affiliation 1999.xls, and real estate development and operation by registration type and affiliation 2000.xls. The data table structure is the same. For example, the data table in 2000 has seven fields: Field 1: state owned Field 2: collective Field 3: Share Cooperation Field 4: other limited liability companies Field 5: private limited company Field 6: private joint stock company Field 7: self employed
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of producer price index of Qinghai province by 34 industry categories, and the data is divided by industry. 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 Index (PPI) by 34 industry categories 1989-2016 XLS, 1990-2018 XLS, Qinghai Province by 33 industry categories (1990-2020) XLS, Qinghai Province by 33 industry categories Producer Price Index (1990-2020) 1. The data table structure is the same. For example, the data table from 1989 to 2016 has 5 fields: Field 1: Year Field 2: Coal mining Field 3: Oil and gas extraction Field 4: Ferrous mineral mining Field 5: Textiles
Qinghai Provincial Bureau of Statistics
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