"This data set records the statistical data of employees participating in work-related injury insurance in Qinghai Province from 2007 to 2020. The data is divided by the number of insured units, insured personnel, employees enjoying work-related injury insurance benefits, number of deaths on duty, number of dependent relatives, etc. the data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 13 data tables, namely: 2 employees participating in work-related injury insurance 007-2008 Xls, employees participating in industrial injury insurance, 2007-2009 Xls, employees participating in industrial injury insurance, 2007-2010 Xls, employees participating in industrial injury insurance, 2007-2011 Xls, employees participating in industrial injury insurance, 2007-2012 Xls, situation of employees participating in industrial injury insurance in Qinghai Province (2014-2019) Xls, situation of employees participating in industrial injury insurance in Qinghai Province, 2015-2020 Xls et al. The data table structure is the same. For example, the data table for 2007-2008 has four fields: Field 1: year Field 2: indicator Field 3:2007 Field 4:2008 "
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 recorded statistics on the per capita disposable income of urban residents in Qinghai province from 2005 to 2018, based on the regions of 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 seven data tables with different data table structures. For example, the data table from 2005 to 2015 has 12 fields: Field 1: region Field 2:2005 Field 3:2006 Field 4:2007 Field 5:2008 Field 6:2009 Field 7:2010 Field 8:2011 Field 9:2012 Field 10:2013 Field 11:2014 Field 12:2015"
Qinghai Provincial Bureau of Statistics
"The data set records the basic statistics of scientific and technological activities of qinghai Association for Science and Technology from 1978 to 2019. The data are divided by the number of people who hold popular science propaganda activities, the number of people who broadcast scientific and technological radio, film and television programs, the number of practical technology training, the number of practical technology training, the promotion of new technologies and new varieties, the total number of scientific and technological personnel who participate in activities, the number of societies, associations, and villages covered. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Basic information of science and technology activities in the system of sci-tech association 1978-2005. XLS Basic information of science and technology activities in the system of sci-tech Association 1985-2006.XLS Main years Basic information on science and technology activities of the system 1990-2004. XLS Basic information of scientific and technological activities in the system of SCI-tech Association 1990-2007.XLS Basic information of sci-tech activities of SCI-TECH Association system 2000-2008. XLS Basic information on science and technology activities of SCI-TECH Association system 2005-2010. XLS Basic information of science and technology Activities in the system of SCI-tech Association 2005-2011. XLS Basic information of science and technology activities in the system of SCI-tech Association 2005-2013. XLS Basic information of science and technology Activities in the system of SCI-tech Association 2005-2014 XLS Basic information on science and technology Activities of SCI-tech Association system 2010-2015. XLS Basic information on science and technology Activities of SCI-tech Association system 2015-2016. XLS Basic information on science and Technology Activities of THE System 2016-2017. XLS Basic information on science and Technology Activities of THE System 2017-2018. XLS Basic information on science and technology activities of SCI-tech Association system 2005-2012 XLS Basic information on science and technology activities of the science and Technology Association system 1990-1998.xls Basic information on sci-tech activities of sci-TECH association system 1990-1999. XLS Basic information on sci-tech activities of SCI-TECH association system 1990-2000. XLS Basic information on sci-tech activities of SCI-TECH association system 1990-2001. XLS Basic information on sci-tech activities of SCI-TECH association system 1990-2002. XLS Basic information on science and technology activities of the science and Technology Association system 1990-2003. XLS Basic information on sci-tech activities of SCI-TECH association system 2005-2009. XLS Basic information on sci-tech Activities of SCI-TECH Association system 2018-2019. XLS Basic information on scientific and technological Activities 2002-2004. XLS The data table structure is the same. For example, the basic information of scientific and technological activities 2002-2004 data table contains four fields: Field 1: indicator Field 2:2002 Field 3:2003 Field 4:2004"
Qinghai Provincial Bureau of Statistics
"The data set records the statistics of passenger traffic in Qinghai province in major years from 1952 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 16 data tables, which are: Main year Passenger Volume of Qinghai Province 1952-2004. XLS, main year Passenger Volume 1952-2007. XLS, Main year Passenger Volume 1952-2008. XLS, main year passenger volume 1952-2008. XLS, main year passenger volume 1952-2009. Major Years Passenger Volume 1952-2010. XLS, Major Years Passenger Volume 1952-2011. XLS, Major Years Passenger Volume 1952-2012. XLS, Major Years Passenger Volume 1952-2013. Major years passenger Volume 1952-2015. XLS, Major years Passenger Volume 1952-2016. XLS, Major years Passenger Volume 1978-2017. XLS, Major years Passenger Volume 1978-2018. XLS, Major years Passenger Volume 1978-2012. Main year passenger volume 1978-2020. XLS, data table structure is the same. For example, the 2018 table has 8 fields: Field 1: Railway passenger volume Field 2: Highway passenger volume Field 3: Civil air passenger volume Field 4: Waterway passenger volume Field 5: Railway turnover Field 6: Highway turnover Field 7: Civil aviation turnover Field 8: Waterway turnover"
Qinghai Provincial Bureau of Statistics
"The data set records the statistics of the Base Index of urban and rural commodity retail Price in Qinghai Province from 2006 to 2020. Data are divided by the total retail price index of commodities, household appliances and audio-visual equipment, cultural office supplies, sports and entertainment supplies, transportation, communication supplies, furniture, cosmetics, gold, silver and jewelry, Chinese and Western medicines and medical treatment, books, newspapers, magazines and electronics, fuel, building materials, hardware and electric materials, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Base Index of Retail Prices of Urban and Rural Commodities (2006). XLS, Base Index of Retail Prices of Urban and Rural Commodities (2007). XLS, Base Index of Retail Prices of Urban and Rural Commodities (2008). Qinghai Province Urban and rural Commodity retail Price base Index (2011).XLS, and Qinghai Province Urban and rural commodity retail price base index (2020).XLS, etc. The data table structure is the same. For example, the 2010 table has four fields: Field 1: Year Field 2: Item Field 3: Town Field 4: Rural"
Qinghai Provincial Bureau of Statistics
"The dataset recorded the statistics on the per capita living and consumption expenditure of rural residents in Different regions of Qinghai Province from 2010 to 2020, according to the regions of 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 13 data tables with different data table structures. For example, the 2010-2018 data table has 10 fields: Field 1: region Field 2:2010 Field 3:2011 Field 4:2012 Field 5:2013 Field 6:2014 Field 7:2015 Field 8:2016 Field 9:2017 Field 10:2018"
Qinghai Provincial Bureau of Statistics
"The data set records the main indicators of the integrated household survey in Qinghai province from 2013 to 2020. The data are divided by year. The integrated household survey includes per capita disposable income, per capita disposable income growth rate, per capita consumption expenditure, per capita consumption expenditure growth rate, urban and rural resident income ratio, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains six data tables, all of which have the same structure. For example, the 2013-2014 data table has three fields: Field 1: indicator Field 2:2013 Field 3:2014"
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
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
This data set records the statistical data of major export commodities of Qinghai Customs from 2000 to 2020. Data in silicon, silicon, cattle, magnesium chloride, magnesium, dried beans, unwrought aluminum and aluminum, steel, artificial flowers, auto parts, mechanical and electrical products, cashmere, silicon carbide, iron alloy, shoes, knit or crochet clothing, fabrics, clothing, medicine, textile yarn, fabrics and products, glass products, leather gloves, plastic products, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 38 data tables, which are: Total value of main commodities exported by customs 2011-2012. XLS Total value of main commodities exported by customs 2013. XLS Total value of main export commodities of customs 2014. XLS Total value of main export commodities of customs 2015. XLS Total value of main export commodities of customs 2016. XLS Total value of main export commodities of customs in 2017. XLS Total value of main commodities exported by customs 2018. XLS Value table of main imported commodities of Qinghai Province 2019-2020. XLS Table of values of major Exports by customs 2000-2001. XLS Table of value of main Export commodities of customs 2001-2002. XLS Table of main export commodities of customs 2002-2003. XLS Table of main export commodities of customs 2003-2005. XLS Table of value of main Export commodities of customs 2004-2006. XLS Table of main export commodities of customs 2004. XLS Table of main Export commodities of customs 2005-2007. XLS Table of main Export commodities of customs 2007-2008. XLS Table of major Export Commodities of customs 2008-2009. XLS Table of main Export Commodities of customs 2009-2010. XLS Value table of main export commodities of customs 2010-2011. XLS Total value of main commodities imported by customs 20112012. XLS Total value of main commodities imported by customs 2013. XLS Total value of main imported commodities of customs in 2014. XLS Total value of main commodities imported by customs 2015. XLS Total value of main imported commodities of customs 2016. XLS Total value of main commodities imported by customs in 2017. XLS Total value of major Commodities imported by customs 2018. XLS Table of values of major Customs Imports 2000-2001. XLS Table of value of main Goods imported by customs 2001-2002. XLS Table of main import commodities of customs 2002-2003. XLS Table of main import commodities of customs 2003-2005. XLS Customs import main commodity value table 20042006. XLS Customs import main commodity value table 2004. XLS Customs import main commodity value table 20052007. XLS Customs import main commodity value table 20072008. XLS Table of major Import Commodities of Customs 2008-2009. XLS Customs import main commodity value table 20092010. XLS Customs import main commodity value table 20102011. XLS Table of main export commodities of Qinghai Province in 2000. XLS Table of main import commodities of Qinghai Province 2000. XLS The data table structure is the same. For example, the total value of Major Export Commodities of customs 2011-2012 data table has three fields: Field 1: Commodity name Field 2: Quantity Field 3: Value
Qinghai Provincial Bureau of Statistics
The data records statistics on economic performance indicators of large and medium-sized industrial enterprises in Qinghai province from 2007 to 2020, divided by state-owned holding enterprises, extractive industries, manufacturing, electricity, heat, gas and water production and supply industries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables with the same structure. For example, the 2016-2017 data table has 8 fields. Field 1: indicator Field 2: Item Field 3: Industrial value-added rate Field 4: Contribution rate of total assets Field 5: Asset-liability ratio Field 6: Current asset turnover Field 7: Cost expense margin Field 8: Product sales rate
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of 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 for 2011-2017, 2019-2020 points region of qinghai province main economic indicators of industrial enterprises above designated size statistics, the data is according to the index, the number of enterprises, the loss of enterprise, gross industrial output value, total assets, current assets total, total fixed assets, fixed assets, the original value, accumulated depreciation, depreciation to differentiate this year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables with the same structure. For example, the 2017 table has 11 fields: Field 1: indicator Field 2: Item Field 3: Number of enterprise units Field 4: Loss-making enterprise Field 5: Total industrial output value Field 6: Total assets Field 7: Total current assets Field 8: Total fixed assets Field 9: Accumulated depreciation Field 10: Current year depreciation
Qinghai Provincial Bureau of Statistics
The data set records the GDP consumption and composition of Qinghai Province from 1990 to 2019. 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 17 data tables with the same structure. For example, the data table from 1990 to 2003 has 8 fields: Field 1: year Field 2: total consumption Field 3: Agricultural residents Field 4: non-agricultural residents Field 5: government consumption Field 6: per capita of all residents Field 7: per capita of agricultural residents Field 8: per capita of non-agricultural residents
Qinghai Provincial Bureau of Statistics
The recorded data sets each department the number of institutions in qinghai province in 2006-2020 statistical data, the data is according to the rural grassroots units, industrial enterprises above designated size, construction enterprises, health care, education, science and technology institutions, art, business, public libraries, namely, the mass culture and art education, of cultural relics, radio and television stations to divide. 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 2008 table has three fields: Field 1: Department Field 2: Number of institutions Field 3: Year-over-year growth in 2007 (%)
Qinghai Provincial Bureau of Statistics
This data set records the basic situation of transportation industry in Qinghai Province and the statistical data from 1995 to 2020. The data is divided by railway, highway, civil aviation, outbound cargo and mail volume, oil pipeline, total cargo turnover, etc. the data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 20 data tables, respectively: Basic information of transportation industry in Main Years 1990-2005 xls Basic information of transportation industry in Main Years 1995-2004 xls Basic information of transportation industry in Main Years 1995-2006 xls Basic information of transportation industry in Main Years 1995-2007 xls Basic information of transportation industry in Main Years 1995-2008 xls Basic information of transportation industry in Main Years 1995-2009 xls Basic information of transportation industry in Main Years 2000-2010 xls Basic information of transportation industry in Main Years 2000-2011 xls Basic information of transportation industry in Main Years 2008-2014 xls Basic information of transportation industry in Main Years 2009-2013 xls Basic information of transportation industry in Main Years 2010-2015 xls Basic information of transportation industry in Main Years 2012-2016 xls Basic information of transportation industry in Main Years 2012-2017 xls Basic information of transportation industry in Main Years 2013-2018 xls Basic information of transportation industry in Main Years 2007-2012 xls Basic information of transportation industry in Main Years 2013-2020 xls Basic situation of transportation industry, 1995-2001 xls Basic situation of transportation industry 1995-2002 xls Basic information of transportation industry 1995-2003 xls The data table structure is the same. For example, the basic situation of transportation industry in 1995-2001 data sheet has 8 fields: Field 1: indicator Field 2:1995 Field 3:1996 Field 4:1997 Field 5:1998 Field 6:1999 Field 7:2000 Field 8:2001
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of railway, highway and civil aviation mileage at the end of the year in major years of Qinghai Province from 1952 to 2020. The data is 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 22 data tables with the same structure. For example, the data table in 2018 has 10 fields: Field 1: operating mileage Field 2: line density Field 3: traffic mileage Field 4: line density Field 5: with road mileage Field 6: advanced grade road Field 7: high speed Field 8: primary and secondary roads Field 9: substandard route Field 10: Civil Aviation route mileage
Qinghai Provincial Bureau of Statistics
The data set records the total social fixed asset investment in Qinghai Province (divided by economic type), and the data is divided by economic type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Total investment in fixed assets (by type of economy) 1985-2001. XLS Total investment in fixed assets (by type of economy) 1985-2002. XLS Total investment in fixed assets (by type of economy) 1985-2003. XLS Total investment in fixed assets (by type of economy) 1985-2005. XLS Total investment in fixed assets (by economic type) 1985-2006. XLS Total investment in fixed assets (by economic type) 1985-2007. XLS Total Investment in fixed assets (by economic type) 1985-2008. XLS Total Investment in fixed assets (by economic type) 1990-2009. XLS Total Investment in fixed assets (by type of economy) 1990-2010 XLS Total Investment in fixed assets (by economic type) 1990-2011. XLS Total Investment in fixed assets (by type of economy) 1990-2012 XLS Total Investment in fixed assets (by economic type) 1990-2013. XLS Total Investment in fixed assets (by economic type) 1990-2014. XLS Total Investment in fixed assets (by type of economy) 1990-2015 XLS Total Investment in fixed assets (by type of economy) 1990-2016 XLS Total Investment in fixed assets (by type of economy) 2000-2017. XLS Total Investment in fixed assets (by type of economy) 2000-2018 XLS Total Investment in fixed assets (by type of economy) 2000-2020 XLS. The data table structure is the same. For example, the data table of the total social fixed asset investment by economic type from 1985 to 2001 has five fields: Field 1: indicator Field 2: Total Field 3: State-owned economy Field 4: Collective economy Field 5: Individual economy
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
The data set records statistics on youth amateur sports schools in Qinghai province in the main years from 1963 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, all of which have the same structure. For example, the 2018 table has 5 fields: Field 1: Year Field 2: Number of schools Field 3: Current students Field 4: Coach Field 5: Key Amateur School
Qinghai Provincial Bureau of Statistics
The dataset records the statistical data of marriage registration in Qinghai province from 1998 to 2020, and the data are divided by industry, region, affiliation and registration type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Marriage registration 1998. XLS Marriage registration 1999. XLS Marriage registration 2000. XLS Marriage registration 2001. XLS Marriage registration 2002. XLS Marriage registration 2003. XLS Marriage registration 2004. XLS Marriage registration 2005. XLS Marriage Registration 2006. XLS Marriage Registration 2007. XLS Marriage Registration 2008. XLS Marriage registration 2009. XLS Marriage Registration in 2010. XLS Marriage Registration 2011. XLS Marriage registration 2011-2020. XLS The data table structure is the same. For example, marriage registration 2001 The 2001 data table has 6 fields: Field 1: region Field 2: Permission to register marriage couples Field 3: # First marriage Field 4: # Remarried person Field 5: # Remarriage pair Field 6: Permission to register divorce couples
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of added value and growth rate of different industries in Qinghai province in major years. The data were classified according to different industries and divided according to years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The data set contains three data tables, respectively: added value and growth rate by industry in major years 2013-2015 XLS, added value and growth rate by industry in major years 2013-2016 XLS, added value and growth rate by industry in Qinghai Province 2017-2020 XLS, data table structure is the same. For example, the data table of 2016 has 4 fields: Field 1: Industry Field 2: Year Field 3: Total Field 4: Growth rate
Qinghai Provincial Bureau of Statistics
The data set recorded the statistics of the basic situation of the disabled in Qinghai province from 2008 to 2020. The data were divided into visual, hearing, physical, intellectual and spiritual disabilities, enrollment, employment and training, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The data set contains 13 data tables: Basic Information on the Cause of Persons with Disabilities 2008-2009 XLS, Basic Information on the Cause of Persons with Disabilities 2008-2010 XLS, Basic Information on the Cause of Persons with Disabilities 2010-2011 XLS, Basic Information on the Cause of Persons with Disabilities 2011-2012 XLS, Basic Information on Undertakings for the Disabled in Qinghai Province (2019-2020), 2013-2015. XLS, Basic Information on Undertakings for the Disabled in Qinghai Province (2019-2020), XLS, etc. The data table structure is the same. For example, the 2008-2009 data table has 4 fields: Field 1: Year Field 2: indicator Field 3: Time Field 4: Other
Qinghai Provincial Bureau of Statistics
The data recorded the statistical data of the number of village clinics and institutions in different regions of Qinghai Province from 2008 to 2020. The data was divided by region, total, by setting/host unit, and by mode of practice. The fields in the data table included: village clinics, township clinics, joint clinics, private clinics, Western medicine clinics, Traditional Chinese medicine clinics, traditional Chinese medicine clinics, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables with different data table structures. For example, the 2014 data table 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: Golo State Field 8: Yushu Prefecture Field 9: Haixi
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the per capita consumption of major foods in Households in Qinghai Province from 2013 to 2020, and the data are divided by industry, region, affiliation and registration type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains seven data tables, which are: Per capita consumption of major foods in Households 2013-2014. XLS Per capita consumption of major foods in households 2014-2015. XLS Per capita consumption of major foods in households 2015-2016. XLS Per capita consumption of major foods in households 2016-2017. XLS Per capita consumption of major foods in Households 2017-2018. XLS Per capita consumption of major foods in Households 2018-2019. XLS Per capita consumption of major foods in households 2019-2020. XLS The data table structure is the same. For example, the 2013-2014 data table of per capita consumption of major food in households has three fields: Field 1: indicator Field 2:2013 Field 3:2014
Qinghai Provincial Bureau of Statistics
1. The data content includes: year, month, day, hour, longitude, latitude, altitude, meridional (UQ) and latitudinal (VQ) components of water vapor flux; 2. Data source and processing method: GPS meteorological sounding data of voyages in the eastern Indian Ocean, and calculate water vapor flux through relative humidity, wind field, air pressure and altitude; 3. Data quality description: vertical continuous observation with 1 second vertical resolution; 4. Data application achievements and prospects: Study on the changes of water vapor transport in the tropical Indian Ocean;
LIU Zhaofei, YAO Zhijun
The data set records the statistical data of grassland type area and livestock carrying capacity in Chengduo County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in Chengduo county (1988), statistical data of grassland type area and livestock carrying capacity in Chengduo county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type area and livestock carrying capacity in Chengduo County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Chengduo County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor with grassland type as the basic unit. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: statistical data of natural grassland grade area in Chengduo county (2012) and statistical data of natural grassland grade in Chengduo county (1988). The data table structure is similar. For example, the statistical data of natural grassland grade area in Chengduo county (2012) has 9 fields: Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in dari County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in dari county (1988), statistical data of grassland type area and livestock carrying capacity in dari county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in dari County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in dari County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: the statistical data of natural grassland grade area in dari county (2012) and the statistical data of natural grassland grade in dari county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in dari county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity of Dachaidan Administrative Committee of Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, grass group in generation B, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in Dachaidan town (1988), statistical data of grassland type area and livestock carrying capacity of Dachaidan Administrative Committee (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity of Dachaidan Administrative Committee: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area of Dachaidan Administrative Committee of Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland type is the basic unit and is divided into five grades: excellent, good, medium, low and poor. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: the statistical data of natural grassland grade area of Dachaidan Administrative Committee (2012) and the statistical data of natural grassland grade of Dachaidan town (1988). The data table structure is similar. For example, there are 9 fields in the statistical data (2012) of natural grassland grade area of Dachaidan Administrative Committee: Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Bama County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: Statistics of natural grassland grade area in Bama County (2012) and statistics of natural grassland grade in Bama County (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Bama County (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Dulan County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: grassland type area and livestock carrying capacity statistics of Dulan county (1988), grassland type area and livestock carrying capacity statistics of Dulan county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Dulan County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Dulan County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: statistical data of natural grassland grade area in Dulan county (2012) and statistical data of natural grassland grade in Dulan county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Dulan county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Gande County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: statistical data of grassland type area and livestock carrying capacity in Gande county (1988), statistical data of grassland type area and livestock carrying capacity in Gande county (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Gande County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Gande County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: the statistical data of natural grassland grade area in Gande county (2012) and the statistical data of natural grassland grade in Gande county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Gande county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Gangcha County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, namely: grassland type area and livestock carrying capacity statistics of Gangca county (1988), grassland type area and livestock carrying capacity statistics of Gangca county (2012) and grassland group code description of Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Gangca County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Gangcha County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior based on the grassland type. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: statistical data of natural grassland grade area in Gangca county (2012) and statistical data of natural grassland grade in Gangca county (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Gangcha county (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Golmud City, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: statistical data of grassland type area and livestock carrying capacity in Golmud City (1988), statistical data of grassland type area and livestock carrying capacity in Golmud City (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Golmud City: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Golmud City, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and inferior with grassland type as the basic unit. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables, namely: Statistics of natural grassland grade area in Golmud City (2012) and statistics of natural grassland grade in Golmud City (1988). The data table structure is similar. For example, there are 9 fields in the statistical data of natural grassland grade area in Golmud City (2012): Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7 Field 9: level 8
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of natural grassland grade area in Datong County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grade code of natural grassland. The grassland is divided into five grades: excellent, good, medium, low and poor with grassland type as the basic unit. The classification criteria of each grade are as follows: Grade I (excellent) Grassland: the weight of excellent forage accounts for more than 60%; Grade II (good grade) Grassland: the weight of grass above good grade accounts for more than 60%, and that of other types accounts for 40%; Grade III (medium) Grassland: the weight of forages above the medium category accounts for more than 60%, and that of other categories accounts for 40%; Grade IV (low) Grassland: the weight of grass above the low category accounts for more than 60%, and that of other categories accounts for 40%; Grade V (inferior) Grassland: the weight of inferior forage accounts for more than 40% The grassland level is divided into 8 levels according to the fresh grass yield. Standards at all levels are as follows: Level 1 Grassland: more than 12000k g of fresh grass per hectare of grassland; Level 2 Grassland: 9000kg ~ 12000kg fresh grass per hectare; Level 3 Grassland: 6000kg ~ 9000kg fresh grass per hectare; Level 4 Grassland: 4500kg ~ 6000kg fresh grass per hectare; Level 5 Grassland: 30001kg ~ 4500kg fresh grass per hectare; Grade 6 Grassland: 1500kg ~ 3000kg fresh grass per hectare; Grade 7 Grassland: 750KG ~ 1500kg fresh grass per hectare; Grade 8 Grassland: fresh grass per hectare is less than 750KG. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains two data tables: statistical data of natural grassland grade area in Datong County (2012) and statistical data of natural grassland grade in Datong County (1988). The data table structure is similar. For example, the statistical data of natural grassland grade area in Datong County (2012) has 8 fields: Field 1: Total Field 2: Level 1 Field 3: Level 2 Field 4: Level 3 Field 5: Level 4 Field 6: Level 5 Field 7:6 level Field 8: Level 7
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Datong County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: statistical data of grassland type area and livestock carrying capacity in Datong County (1988), statistical data of grassland type area and livestock carrying capacity in Datong County (2012) and code description of grassland type in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type area and livestock carrying capacity in Datong County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of grassland type area and livestock carrying capacity in Bama County, Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: grassland type area and livestock carrying capacity statistics of Bama County (2012), grassland type area and livestock carrying capacity statistics of Bama County (1988) and grassland type code description of Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Bama County: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type grade
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the transaction price index of agricultural products in the agricultural market of Qinghai Province, and the data is divided by the transaction price index of agricultural products in the agricultural market. 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 two data tables Transaction price index of agricultural products in agricultural trade market, 1998.xls, The transaction price index of agricultural products in the agricultural trade market, 1999.xls. The data table structure is the same. For example, the transaction price index of agricultural products in the agricultural trade market in 1998 has 10 fields: Field 1: grain Field 2: fine grain Field 3: coarse grain Field 4: Grease Field 5: meat, poultry and eggs Field 6: aquatic products Field 7: fresh vegetables Field 8: dried vegetables Field 9: fresh fruit Field 10: dried fruit
Qinghai Provincial Bureau of Statistics
The data set records the volume and value table of main export commodities of Qinghai Province (Xining customs), and the data is divided by the name of main export commodities of Qinghai Province (Xining customs). 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 data tables Volume and value of main export commodities of the whole province (Xining customs) (1.xls, 1999), Table of import volume and value of main commodities of the whole province (Xining customs) (2.xls, 1999), The total import and export value of the whole province (Xining customs) in 1999.xls. The data table structure is similar. For example, the main export volume and value table of the whole province (Xining customs) has four fields in 1999 Field 1: commodity name Field 2: unit of measurement Field 3: quantity Field 4: value of goods
Qinghai Provincial Bureau of Statistics
The data set records the main economic statistical indicators of Qinghai Province in each month, and the data is divided according to the main economic statistical indicators of Qinghai Province in each month. 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 two data tables The main economic statistical indicators of the whole province in 1999.xls, The main economic statistics index of the whole province in each month is 2000.xls. The data table structure is the same. For example, there are eight fields in the 1999 data table of the main economic statistics indicators of the whole province Field 1: Indicators Field 2: Unit Field 3: January Field 4: February Field 5: March Field 6: April Field 7: May Field 8: June Field 9: July Field 10: August Field 11: September Field 12: October Field 13: November Field 14: December
Qinghai Provincial Bureau of Statistics
The data set records the situation of village level health organizations in Qinghai Province, and the data are divided by administrative districts and counties. 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 data tables The situation of rural health organizations in the whole province, 1998.xls, The situation of rural health organizations in the whole province, 1999.xls, The situation of rural health organizations in the whole province was analyzed in 2000.xls. The data table structure is the same. For example, there are four fields in the 1998 data sheet of rural health organizations in the whole province Field 1: Project Field 2: 1998 Field 3: Project Field 4: 1999
Qinghai Provincial Bureau of Statistics
The data set records the average wages of employees in other units of Qinghai Province by industry and region, and the data is divided by the average wages of employees in other units 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 8 data tables Average wages of employees in other units by industry 1985-2001.xls Average wages of employees in other units by industry 1985-2002.xls Average wages of employees in other units by industry 2003.xls Average wages of employees in other units by industry 2004.xls Average wages of employees in other units by industry 2005.xls Average wages of employees in other units by industry and region 2006.xls Average wages of employees in other units by industry and region 2007.xls The average wages of employees in other units by industry and region in 2008.xls. The data table structure is the same. For example, there are 10 fields in the data table of average wages of employees in other units by industry and region in 2006 Field 1: industry category Field 2: province total Field 3: Xining City Field 4: Haidong region Field 5: Haibei Prefecture Field 6: huangnanzhou Field 7: Hainan Field 8: Golog Field 9: Yushu prefecture Field 10: Haixi
Qinghai Provincial Bureau of Statistics
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