The data set records the statistics of precipitation in major areas of Qinghai Province from 2001 to 2020, and the data is divided by month and year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, all of which have the same structure. For example, the data table for 2020 has 11 fields: Field 1: month Field 2: region Field 3: Xining Field 4: Haidong Field 5: Haibei Field 6: South Yellow Field 7: Hainan Field 8: Golo Field 9: Yushu Field 10: Hersey Field 11: Golmud City
Qinghai Provincial Bureau of Statistics
This data records the statistical data on the output of livestock products in Qinghai Province from 1978 to 2020. The data are divided according to the year and Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Yushu prefecture, Guoluo Prefecture, Haixi Prefecture and other regions. The data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 26 data tables with different structures. For example, the data sheet for 1980-2020 has 15 fields: Field 1: year Field 2: Region Field 3: total meat production Field 4: pork Field 5: beef Field 6: mutton Field 7: other Field 8: milk Field 9: raw milk Field 10: wool Field 11: sheep wool Field 12: Cashmere Field 13: cow Plush Field 14: Honey Field 15: eggs
Qinghai Provincial Bureau of Statistics
The dataset recorded statistics on rural electricity, irrigated area and fertilizer use in Qinghai province from 1978 to 2020, divided by major years and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Yushu Prefecture, Guoluo Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, which are: Rural electric power and chemical fertilizer application amount in Qinghai Province in main years (1978-2020). XLS Main years: rural electric power and fertilizer application amount 1978-2014. XLS Main years: rural electricity and fertilizer application amount 1978-2015. XLS Main years: rural electric power and fertilizer application amount 1978-2016. XLS Main years: rural electricity and fertilizer application amount 1978-2017. XLS Main years: rural electricity and fertilizer application amount 1978-2018. XLS Main years: rural electric power, irrigated area, fertilizer application amount 1978-2004. XLS Main years: rural electricity, irrigated area and fertilizer application amount 1978-2011. XLS Main years: rural electricity, irrigated area and fertilizer application amount 1978-2013. XLS Main years: rural electricity, irrigated area and fertilizer application amount 1978-2012. XLS Main years and the amount of rural electricity, irrigated area and chemical fertilizer applied by region 1978-2003. XLS Rural electricity, irrigated area and fertilizer usage 1978-2010. XLS Rural electric power, irrigated area, fertilizer application amount 1978-2005. XLS Rural electric power, irrigated area, fertilizer application amount 1978-2006. XLS Rural electricity, irrigated area, fertilizer application amount 1978-2007. XLS Rural electric power, irrigated area, fertilizer application amount 1978-2008. XLS Rural electricity, irrigated area and fertilizer application amount 1978-2009. XLS The data table structure is the same. For example, there are 7 fields in the data table of rural electricity, irrigated area and fertilizer application from 1978 to 2006: Field 1: Year Field 2: Rural hydropower station Field 3: Rural electricity consumption Field 4: Fertilizer application amount Field 5: Effective irrigated area
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
This data set records the statistical data on the basic situation of telecom services in Qinghai Province from 1952 to 2020. The data are based on the administrative villages (number), natural villages (number), counties and cities covered by 3G network (number), townships (towns) covered by 3G network (number), counties and cities covered by 4G network (number), and townships (towns) covered by 4G network (number) , Internet broadband access penetration rate (%), home Internet broadband access penetration rate (%), villages (towns) with internet broadband access and administrative villages (villages) with internet broadband access. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 17 data tables with different data table structures. For example, the data table for 2018 has four fields: Field 1: indicator Field 2: item Field 3: quantity Field 4: proportion in the whole province%
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of tourism development in Qinghai Province from 1999 to 2020. Data according to the number at the end of the travel agency (a), at the end of the travel agency employees (people), the total number of hotel (a), tourist trips combined (people), tourism revenue (one hundred million yuan) cost (RMB) per capita, domestic tourists, international tourist foreign exchange income (usd), international travel costs ($) per capita, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: Tourism development 1999-2005. XLS Development of tourism industry 20002006. XLS Development of tourism industry 20012007. XLS Development of tourism 20012008. XLS Development of Tourism 2005-2009. XLS Development of Tourism industry 2006-2010. XLS Tourism development 2007-2011. XLS Development of Tourism 2008-2012. XLS Development of Tourism industry 2009-2013 XLS Development of Tourism 2010-2014. XLS Development of Tourism 2011-2015. XLS Tourism development 2012-2016. XLS Tourism development 2013-2017. XLS Development of Tourism 2014-2018. XLS Development of Tourism 2015-2020. XLS Tourism 2000-2001. XLS Tourism 2001-2002. XLS Tourism 2002-2003.xls Tourism 2004 year. XLS The data table structure is similar. For example, the tourism data table 2000-2001 has three fields: Field 1: indicator Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set records the situation of urban workers participating in basic medical insurance and special personnel in Qinghai Province from 1999 to 2020. The data is divided according to the implementation of unified account combination, single construction and overall planning fund, and the number of special personnel. The statistical scope is the number of employees at the end of the period, the annual average number of employees at the end of the period, retirees at the end of the period, and the annual average retirees. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, all of which have the same structure. For example, the data table from 2010 to 2014 has 6 fields: Field 1: Item Field 2:2010 Field 3:2011 Field 4:2012 Field 5:2013 Field 6:2014
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of cash income and expenditure of households in Qinghai Province from 2013 to 2020. Data are divided by cash wage income, cash operating income, cash property income, cash transfer income, cash consumption expenditure, production and operation cash expense expenditure, cash property expenditure, cash transfer expenditure, part of commercial insurance expenditure, purchase of assets and borrowing expenditure. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains six data tables, which are: Household cash income and expenditure 2013-2014. XLS Household cash income and expenditure 2014-2015. XLS Household cash income and expenditure 2015-2016. XLS Household cash income and expenditure 2016-2017. XLS Household cash income and expenditure 2017-2018. XLS Household cash income and expenditure 2019-2020. XLS The data table structure is the same. For example, the 2013-2014 data table of household cash income and expenditure has 7 fields: Field 1: indicator Field 2: All residents Field 3: Regular town residents Field 4: Permanent rural residents Field 5: All residents Field 6: Regular town residents Field 7: Permanent rural residents
Qinghai Provincial Bureau of Statistics
The data set recorded the basic situation of early childhood education in Qinghai Province from 1952 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Yushu Prefecture, Guoluo Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, all of which have the same structure. For example, the data table from 1952 to 1998 has six fields: Field 1: Year Field 2: Number of kindergartens Field 3: Number of children in kindergarten Field 4: Number of staff Field 5: Preschool teacher Field 6: Number of children per kindergarten teacher
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistics of rural grassroots organizations and employees in Qinghai province in major years, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Yushu Prefecture, Guoluo Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 16 data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Year Field 2: region Field 3: Number of towns Field 4: Number of rural households Field 5: Rural population Field 6: Rural workers Field 7: Male and female sex
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of fiscal revenue and expenditure of Qinghai Province from 1998 to 2020. The data are based on value-added tax, business tax, enterprise income tax, enterprise income tax rebate, personal income tax, resource tax, fixed asset investment direction adjustment tax, urban maintenance and construction tax, real estate tax, stamp tax, urban land use tax, land value-added tax, vehicle and vessel tax, cultivated land occupation tax, deed tax Other tax revenue, special revenue, revenue from administrative charges, revenue from fines and confiscations, revenue from the operation of state-owned capital, income from the paid use of state-owned resources (assets), other income, etc. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 25 data tables, namely: fiscal revenue and expenditure, 1998 Xls, fiscal revenue and expenditure, 1999 Xls, fiscal revenue and expenditure (2001) Xls, fiscal revenue and expenditure (2003) Xls, financial revenue and expenditure (2018) Xls, fiscal revenue and expenditure of Qinghai Province (2016-2020) Xls, fiscal revenue and expenditure of Qinghai Province (2016-2020) 1 Xls, annual financial revenue and expenditure of Qinghai Province (2015-2019) Xls, annual financial revenue and expenditure of Qinghai Province (2015-2019) 1 Xls et al. The data table structure is the same. For example, the 2001 data table has four fields: Field 1: year Field 2: revenue Field 3: expenditure Field 4: amount
Qinghai Provincial Bureau of Statistics
The data recorded the statistical data of added value and growth rate of different industries in Qinghai province from 2015 to 2020. Data is in accordance with the animal husbandry fishery, mining, manufacturing, electricity, heat, gas and water production and supply industry, construction, wholesale and retail trade, transportation, warehousing and postal service, accommodation and catering industry, information transmission, software and information technology services, finance, real estate, leasing and business services, scientific research and technical services, water conservancy, environment and the public Management, residential services, repair and other services, education, health and social work, culture, sports and recreation, public administration, social security and social organizations. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains six data tables with the same structure. For example, the 2018 table has 12 fields: Field 1: indicator Field 2: Intem Field 3: Xining City Field 4: Haidong City Field 5: Haibei State Field 6: Huangnan Prefecture Field 7: Hainan Prefecture Field 8: Golo State Field 9: Yushu Prefecture Field 10: Haixi Field 11: Total Field 12: Growth rate
Qinghai Provincial Bureau of Statistics
The data set is recorded on an average day in qinghai province is a major social economic activities, the data according to the primary industry, secondary industry and tertiary industry, fiscal revenue, fiscal expenditure, grain, oil, meat, milk, wool, raw coal, electricity, oil, steel, crude salt, cement, daily consumption and other economic activities and the change of people every day and every day of marriage. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Composition and sequential index of gross agricultural output value in Qinghai Province in main years (calculated at comparable prices) (1952-2020) 1.xls Composition and sequential index of gross agricultural output value in Qinghai Province in major years (calculated at comparable prices) (1952-2020).xls Major years Average daily major socio-economic activity 1978-2010. XLS Main years Average daily main socio-economic activity 1985-2006. XLS Main years Average daily main socio-economic activity 1990-2004. XLS Main years Average daily main socio-economic activity 1990-2007. XLS Major years Average daily major socio-economic activity 1990-2008. XLS Major years Average daily major socio-economic activity 1990-2009. XLS Main years Average daily main socio-economic Activity 1990-2005. XLS Main years Average daily main socio-economic activities 1995-2011. XLS Major years Average daily major socio-economic activities 2000-2013. XLS Major years Average daily major socio-economic activities 2000-2014. XLS Major years Average daily major socio-economic activities 2000-2015. XLS Major years Average daily major socio-economic activities 2000-2016. XLS Major years Average daily Major socio-economic activities 2000-2017. XLS Major years Average daily major socio-economic activities 2000-2018. XLS Major years Average daily major socio-economic activities 2000-2012. XLS Average daily major socio-economic activity 1985-1998. XLS Average daily major socio-economic activity 1985-1999. XLS Average daily major socio-economic activity 1985-2000. XLS Average daily major socio-economic activity 1985-2001. XLS Average daily major socio-economic activity 1990-2002. XLS Average daily main socio-economic activities 1990-2003.xLS. The data table structure is similar. For example, the average daily data table for major socio-economic activities 1990-2007 contains seven fields: Field 1: indicator Field 2:1990 Field 3:1995 Field 4:2000 Field 5:2005 Field 6:2006 Field 7:2007
Qinghai Provincial Bureau of Statistics
The data records statistics on economic performance indicators of local industrial enterprises above designated size in Qinghai province from 2007 to 2020, divided by extractive industries, manufacturing, paper and paper products, and electricity, gas and water production and supply. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset consists of 12 data tables with the same structure. For example, the 2016-2017 data table has 8 fields. Field 1: indicator Field 2: Item Field 3: Industrial value-added rate Field 4: Contribution rate of total assets Field 5: Asset-liability ratio Field 6: Current asset turnover Field 7: Cost expense margin Field 8: Product sales rate
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the elasticity coefficient of energy consumption in Qinghai province from 1990 to 20120. The data are divided by major years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Elasticity coefficient of energy consumption, 1990-2001. XLS Elasticity coefficient of energy consumption, 1990-2002. XLS Elasticity coefficient of energy consumption 1990-2003. XLS Elasticity coefficient of energy consumption, 1990-2005. XLS Elasticity coefficient of energy consumption, 1990-2006. XLS Elasticity coefficient of energy consumption, 1990-2007. XLS Elasticity coefficient of energy consumption, 1990-2008. XLS Elasticity coefficient of energy consumption, 1990-2009. XLS Elasticity coefficient of energy consumption 1990-2010. XLS Elasticity coefficient of energy consumption, 1990-2011. XLS Elasticity coefficient of energy consumption 1990-2012. XLS Elasticity coefficient of energy consumption 1990-2013. XLS Elasticity coefficient of energy consumption 1990-2014. XLS Elasticity coefficient of energy consumption, 1990-2015. XLS Elasticity coefficient of energy consumption 1990-2016. XLS Elasticity coefficient of energy consumption 1990-2017. XLS Elasticity coefficient of energy consumption, 1990-2020. XLS Elasticity coefficient of energy consumption 2004. XLS The data table structure is the same. For example, the data table of the elasticity coefficient of energy consumption 1990-2001 contains six fields: Field 1: Year Field 2: Energy consumption increased from the previous year Field 3: Year-on-year increase in electricity consumption Field 4: GDP growth from the previous year Field 5: Elasticity coefficient of energy consumption Field 6: Elasticity coefficient of electricity consumption
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the list of A-level scenic spots in Qinghai Province, and the data were divided into 4A level scenic spots, 3A level scenic spots and 2A level scenic spots. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Directory of Qinghai A-Level Scenic Spots 2009. XLS, Directory of Qinghai A-Level Scenic Spots 2011. XLS, Directory of Qinghai A-Level Scenic Spots 2008. XLS, Directory of Qinghai A-Level Scenic Spots 2010. List of Qinghai A-Class Scenic Spots 2014. XLS, List of Qinghai A-Class Scenic Spots 2015. XLS, List of Qinghai A-Class Scenic Spots 2016. XLS, List of Qinghai A-Class Scenic Spots 2017. XLS, List of Qinghai A-Class Scenic Spots 2018. List of A-level Scenic Spots of Qinghai Province 2019. XLS, List of A-Level Scenic Spots of Qinghai Province (2020), List of A-Level Scenic Spots of Qinghai Province (2020) 1, List of A-Level Scenic Spots of Qinghai Province (2020) 2, List of A-level Scenic Spots of Qinghai Province (2020) 3. The data table structure is the same. For example, the 2009 table has two fields: Field 1: Scenic spot name Field 2: Address
Qinghai Provincial Bureau of Statistics
The data set records the level of post and telecommunications services in Qinghai province from 2000 to 2020. Average data is according to the post office in each service area, average every post respects the population, average per person per year, the number, the number of newspaper subscriptions per one hundred people every year, has a post office, the proportion of the township (town), administrative villages in postal services proportion, telephone penetration rate (including mobile phones), rural fixed telephones, mobile telephones, with public telephone number per one thousand people And the proportion of administrative villages that have been telephoned. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, all of which have the same structure. For example, the data table from 2000 to 2005 has 7 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2004 Field 7:2005
Qinghai Provincial Bureau of Statistics
The data set recorded the total retail sales of social consumer goods in Qinghai Province (by industry and region) from 1952 to 2020, divided by major years and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Yushu Prefecture, Guoluo Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 26 data tables, all of which have the same structure. For example, the 1978-2001 data table has 5 fields: Field 1: Year region Field 2: Wholesale and retail trade Field 3: Catering Field 4: Other industries Field 5: Agricultural producer
Qinghai Provincial Bureau of Statistics
The data set records the statistics of basic endowment insurance in Qinghai Province from 2000 to 2020, which are divided by the number of insured employees at the end of the period, the number of actual contributors at the end of the period, retired employees, retired employees, the number at the end of the period, retired employees, the amount of pension payable, the amount of pension actually paid, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, which are: Basic endowment insurance 2000-2001. XLS Basic endowment insurance 2000-2005. XLS Basic endowment insurance situation 2001-2002. XLS Basic endowment insurance situation 2001-2006. XLS Basic endowment insurance situation 2001-2007. XLS Basic endowment insurance from 2001 to 2008. XLS Basic endowment insurance situation 2002-2003. XLS Basic endowment insurance situation 2004. XLS Basic endowment insurance 2005-2009. XLS Basic endowment insurance 2005-2010. XLS Basic endowment Insurance 2005-2011. XLS Basic endowment Insurance 2005-2012. XLS Basic endowment insurance 2006-2013. XLS Basic endowment insurance 2010-2014. XLS Basic endowment insurance 2010-2015. XLS Basic endowment insurance in 2016. XLS Basic endowment Insurance in 2017. XLS Basic endowment Insurance in 2018. XLS Basic endowment insurance 2019-2020.xLS The data table structure is the same. For example, basic endowment insurance 2000-2001 data table has 3 fields: Field 1: indicator Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of female employment in non-private units at the end of 2011 to 2020 in different industries and regions in Qinghai Province. Data by the animal husbandry fishery, mining, manufacturing, electricity, gas and water, construction, transportation, storage and information transmission, computer, wholesale and retail trade, accommodation and catering industry, finance, real estate, leasing and business services, scientific research, technical services, water resources, environment and public, residents service and other services, education, health, social insurance Handicrafts, culture, sports and entertainment, public administration and social organizations. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, all of which have the same structure. For example, the data table of 2015 has 10 fields: Field 1: Item Field 2: Provincial total Field 3: Xining City Field 4: Haidong region Field 5: Haibei State Field 6: Huangnan Prefecture Field 7: Hainan Prefecture Field 8: Golo State Field 9: Yushu Prefecture Field 10: Haixi
Qinghai Provincial Bureau of Statistics
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