Plateau pika is a key species of the Qinghai Tibet Plateau and an indigenous species formed with the uplift of the Qinghai Tibet Plateau. During the long-term evolution, it has evolved a unique life history strategy to adapt to the extreme environment of the plateau. This sub project (2019QZKK05010410) investigates the distribution area of plateau pika, analyzes its population fluctuation rule and its influencing factors in the context of global climate change, and discusses the ecological significance of plateau pika in the alpine meadow ecosystem. This data set contains the information table of 213 plateau zokor tissue samples collected in Gonghe County, Guinan County, Hainan Prefecture, and Maqin County, Golog Prefecture, Qinghai Province in 2020, including species, collection place, collection time, collection person, sample type and other information. The information table is named after the sub subject number - year - group and opened in excel
QU Jiapeng
This dataset records the full text of the Qinghai Provincial Financial Budget Implementation Bulletin from 2002 to 2017. The data were compiled from the Qinghai Provincial Statistical Yearbook issued by the Qinghai Provincial Bureau of Statistics. The dataset contains 16 documents, including: the report on the implementation of Qinghai's 2002 National Economic and Social Development Plan and the draft plan for 2003. docx, the report on the implementation of Qinghai's 2002 financial budget and the draft financial budget for 2003. docx, the report on the implementation of Qinghai's 2003 financial budget and the draft financial budget for 2004. docx, the report on the implementation of Qinghai's 2006 financial budget and the draft financial budget for 2007. docx, Report on the implementation of Qinghai's 2007 financial budget and the 2008 financial budget draft Docx, the report on the implementation of Qinghai's financial budget in 2008 and the draft financial budget in 2009. docx, the report on the implementation of Qinghai's financial budget in 2016 and the draft financial budget in 2017. docx, the report on the implementation of Qinghai's financial budget in 2017 and the draft financial budget in 2018. docx, etc.
Qinghai Provincial Bureau of Statistics
In order to describe the distribution pattern of genetic diversity of important livestock and poultry germplasm resources in the Qinghai Tibet Plateau, clarify their related genetic background, and establish a corresponding genetic resource bank. During 2019-2022, 2167, 1056 and 516 tissue samples of local Tibetan sheep and fine wool sheep were collected in Gangca County, Haibei Tibetan Autonomous Prefecture, Qinghai Province, and 2074 and 1548 lambing records were recorded. This data set includes 3 tissue sample information tables and 2 lambing record information tables. The organization sample information table records the variety, collection place, collection time, sample type and other information. The lambing record information table records the variety, detailed sampling place, sex, date of birth, birth weight and other information. The information table is stored in excel form.
ZHAO Kai
This dataset is based on the Tibet Statistical Yearbook and Qinghai Statistical Yearbook (2020). The two books contain statistical data on the economic and social development of the Tibet Autonomous Region and Qinghai Province since 2019, mainly from 1951 to 2020. Extract the agricultural aspects, from the basic situation of rural areas and agriculture, the basic situation of rural areas, rural employees, the total output value of agriculture, forestry, animal husbandry and fishery in sub-regional cities, the sown area of main crops, the output of main agricultural products, the output per unit area of main agricultural products, and the sown area of crops It is an important statistical data for people from all walks of life at home and abroad to understand the Qinghai-Tibet Plateau and the Qinghai-Tibet Plateau.
TANG Yawei TANG Yawei
In order to collect the special germplasm resources of Qinghai Tibet Plateau and excavate the molecular markers affecting the special germplasm resources, individual sheep with excellent ectopic spots were selected for marker assisted selection, propagation and generation breeding according to the genetic marker information, so as to cultivate the families of special germplasm resources. In 2021, this sub project (2019QZKK05010704) widely collected samples of Qinghai Tibetan sheep and Qinghai fine wool sheep in Haibei, Qinghai, and continued to establish and expand the first and second core groups in Ledu agricultural experimental station and Qinghai Sanjiaocheng sheep breeding farm. This data set contains the basic information of 1050 tissue samples, including variety, collection place, collection time, gender, tissue type, preservation method, etc.
ZHAO Kai
In order to describe the distribution pattern of genetic diversity of important rodents in the Qinghai Tibet Plateau, clarify their related genetic background, and establish the corresponding genetic resource bank. In 2021, this sub project (2019QZKK05010410) focused on the investigation of plateau pika in Haixi Mongolian and Tibetan Autonomous Prefecture, Golog Prefecture and Hainan prefecture, Qinghai. A total of 200 plateau pika samples were collected, and the solid samples were spleen and lung tissues. This data set contains a sample information table and habitat photos, work photos and work videos. The sample information table contains basic sample information such as species, gender, detailed sampling place, altitude, sample type, collection time, collector and storage method, which are stored in the form of Excel.
QU Jiapeng
This sub project (2019qzkk05010411) focuses on the population investigation and monitoring of wild yak, Tibetan antelope and brown bear, carries out systematic and continuous field investigation, finds out their geographical distribution, population number and population structure, and carries out appropriate habitat assessment. The distribution area and potential distribution area are selected and divided into multiple sub areas. Stratified random sampling is adopted according to habitat type, climate, altitude and other factors, and the population counting method, variable distance spline method or fixed width spline method are used for investigation respectively. At the same time, in view of the extremely low encounter rate of brown bears, combined with the interview method. The investigation area mainly includes the distribution areas and potential distribution areas of the three animals in Yushu Tibetan Autonomous Prefecture, Haixi Mongolian Tibetan Autonomous Prefecture, Haibei Tibetan Autonomous Prefecture and other prefectures and counties in Qinghai Province, in order to master the distribution and five-year population dynamics of wild yak, Tibetan antelope and brown bear in Qinghai Province. This data set contains photos of yaks, Tibetan antelopes and brown bears investigated in Qinghai in 2021.
CHEN Zhenning
In order to describe the distribution pattern of genetic diversity of pika germplasm resources in Qinghai Tibet Plateau, clarify its related genetic background, and establish the corresponding genetic resource bank. In 2021, this sub project (2019QZKK05010209) focused on Qinghai Province (Haixi Mongolian and Tibetan Autonomous Prefecture, Golmud City, Kunlun mountain pass; Haixi Mongolian and Tibetan Autonomous Prefecture, Dulan County, Xiangride Town, Gouli township; Golog Tibetan Autonomous Prefecture, Maduo County; Golog Tibetan Autonomous Prefecture, Maqin County, Dawu town; Huangnan Tibetan Autonomous Prefecture, Zeku County; Hainan Tibetan Autonomous Prefecture, Guinan County, Taxiu township) 93 plateau pika germplasm resources were collected at different altitudes, and the solid samples included blood or tissue, feces and so on. This data set contains 1 sample information table. The sample information table contains basic sample information such as species, variety, detailed sampling place, sample type, collection time, collector and storage method, which is stored in the form of Excel.
ZHANG Liangzhi
In order to describe the effects of environmental changes and human disturbance on the temporal and spatial distribution of small mammals in the Qinghai Tibet Plateau, statistical models and molecular techniques were used to identify the species of small mammals with different altitude gradients. In 2021, 105 small mammal resources such as plateau pika, Meriones meridionalis, three toed jerboa, five toed jerboa and Qinghai squirrel were collected in 8 areas of Xihai Town, Gangcha county and Delingha city of Qinghai Province. The solid samples include animal solid samples and muscles, heart, liver, spleen, lung, kidney, pancreas, bladder, testis and ovary. This data set contains one specimen information table, one tissue sample information table and one photo corresponding to each specimen. The sample information table contains basic sample information such as species, variety, detailed sampling place, sample type, collection time, collector and storage method, which is stored in the form of Excel. Photos, stored in JPG format.
HOU Xiang
In order to determine the distribution points and habitat types of plateau forest frog along the latitudinal gradient in Qinghai, in 2021, a total of 8 distribution points of plateau forest frog were collected in Minhe County of Haidong, Qinghai, Gonghe County of Hainan Tibetan Autonomous Prefecture and Maqin County of Golog Prefecture, covering an altitude of 2000-3800m. This dataset contains 1 coordinate information table and 57 habitat photos. The coordinate information table contains information such as number, recording date, time, weather, coordinate longitude and latitude, altitude sample, habitat type and photo number of representative habitat, which are stored in the form of Excel. Photos are stored in JPG format. In order to reveal the impact of climate change on the diversity of plateau forest frogs on the Qinghai Tibet Plateau in the future, the thermal safety margin of different geographical populations of plateau forest frogs was calculated through the data of thermophysiological indexes and environmental effective temperature, and the threat of climate warming of different geographical populations of plateau forest frogs was evaluated. This data set includes field activity body temperature, resting metabolic rate, ambient temperature and morphological data of four altitude populations of plateau forest frog, which supplements the selected body temperature, tolerance temperature and temperature correction data of 2000 m altitude populations. The data is stored in Excel format. In order to study the differences of genetic diversity of plateau forest frog at different altitudes, 100 samples of plateau forest frog collected from four altitudes (2000 m, 2600 m, 3200 m and 3800 m) of Qinghai Tibet Plateau were sequenced and analyzed based on the sequences of four mitochondrial genes (12S rRNA, 16S rRNA, coi and cytb), so as to provide scientific basis for the protection of this species. This data includes 12S rRNA, 16S rRNA The sequence data obtained from the sequencing of COI and cytb genes supplement the sequence data of four genes of the population at an altitude of 2000m. The data is stored in FASTA format
ZHANG Yongpu
This sub project (2019QZKK05010217) plans to select Qinghai sand lizard, an exothermic vertebrate that is very sensitive to environmental changes, as the representative. Through field investigation, we will compare the differences in morphology, physiology and life history of Qinghai sand lizard populations at different altitudes in the Qinghai Tibet Plateau and adjacent areas, and analyze the response and adaptation characteristics of Qinghai sand lizard to environmental changes in the Qinghai Tibet Plateau, Combined with species distribution model (SDM) and mechanism model, this paper predicts the threatened degree of Qinghai sand lizard in the future, and puts forward the Protection Countermeasures of Qinghai sand lizard diversity on the Qinghai Tibet Plateau under the background of climate warming, so as to provide a theoretical basis for the protection of Reptile Diversity on the Qinghai Tibet Plateau under the background of environmental change. This data includes ecological photos and habitat photos of Qinghai sand lizard in Gonghe County, Haiyan County and Maduo County of Qinghai Province.
DU Weiguo
The data set records the operation of the pollution source monitoring center in Haixi Prefecture of Qinghai Province from July 2018 to September 2019. The data is collected from the Department of ecological environment of Haixi Prefecture. The data set contains 42 text files, recording the weekly report of Haixi pollution source monitoring center from July 2018 to September 2019, and each file records the content of the weekly report once. Including the video monitoring system operation, online monitoring system operation, new online monitoring system construction acceptance, online monitoring system construction acceptance, online monitoring data analysis and transmission efficiency. Data coverage time range: July 16, 2018 to September 1, 2019.
Ecological Environment Bureau of Haixi Prefecture Qinghai Province
The data set records the main distribution of sudden geological disasters in Qinghai Province from 2011 to 2018. The data are collected from the Department of ecological environment of Qinghai Province. The data set contains seven tables, which are: the main distribution of sudden geological disasters in 2011, 2012, 2014, 2015 and 2016 Distribution statistics table, 2017 Qinghai Province sudden geological disasters distribution table, 2018 Qinghai Province sudden geological disasters distribution table, the data table structure is the same. Each data table has five fields, such as the statistical table of the main distribution of sudden geological disasters in Qinghai Province in 2016 Field 1: county (city) Field 2: landslide Field 3: collapse Field 4: debris flow Field 5: loess collapsibility
Department of Ecology and Environment of Qinghai Province
The data set recorded the statistical data of medical institutions, beds and personnel in Qinghai province from 1952 to 2020. The data were divided according to the main years. The data came from The Health Commission of Qinghai Province, and the data of medical institutions were adjusted by the provincial health department according to the uniform caliber. Since 2019, village clinics have been included in the list of medical and health institutions as required by the National Health Commission. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 34 data tables, which are: Number of Health institutions, Beds and Personnel in main years (1952-1998). XLS, number of Health institutions, beds and Personnel in Main years (1952-1999). XLS, Number of health institutions, beds and Personnel in Main years (1952-2000). Number of Health institutions, Beds and Personnel in main years (1952-2001). XLS, Number of Health Institutions, Beds and Personnel in Main years (1952-2002). XLS, Number of Health Institutions, Beds and Personnel in Main years (2009-2020). Number of health institutions, beds and personnel (1952-2018). XLS, etc. The data table structure is the same. For example, the data table from 1952 to 2018 has 4 fields: Field 1: Medical facility Field 2: Number of beds Field 3: Number of patients Field 4: Other
Qinghai Provincial Bureau of Statistics
The data set recorded the basic situation of ordinary middle schools in Qinghai Province from 1952 to 2020. The data were classified by year and regional indicators such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 26 data tables, which are: Basic information of Ordinary middle schools 1952-2013 XLS Basic information of Ordinary middle schools 1952-2014 XLS Basic information of Ordinary secondary schools 1952-2015. XLS Main years General secondary school basic information 1952-2016. XLS Basic information of General Secondary schools 1952-2017. XLS Main years Basic information of ordinary middle schools 1952-2018. XLS, etc., similar data table structure. For example, the basic information of ordinary middle schools from 1952 to 2018 data table has 4 fields: Field 1: Number of graduates Field 2: Enrollment Field 3: Number of students enrolled Field 4: Number of staff
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of total wages of employees in all units in Qinghai Province by registration type from 2010 to 2020. The data are divided by major years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: Total wage of employed Persons in all units by type of registration 2010-2011. XLS, Total wage of employed Persons in all Units by type of registration 2010-2012. XLS, Total wage of Employed Persons in All Units by type of registration 2010-2013 XLS, Total wage of Employed Persons in All Units by type of registration 2010-2020 XLS, Total wage of Employed Persons in All Units by type of registration 2010-2014 XLS, Total wage of employed Persons in all units by type of registration 2010-2015 XLS total wage of employed Persons in all Units by type of registration 2010-2016 XLS Total wage of employed Persons in all Units by type of registration 2010-2017 XLS, Total wages of employees in all units by type of registration 2010-2018. XLS. The data table structure is the same. For example, the 2010-2011 data table has 5 fields: Field 1: Item Field 2: State-owned units Field 3: Town collective units Field 4: Private sector Field 5: Other units
Qinghai Provincial Bureau of Statistics
The data set recorded the basic situation of primary schools in Qinghai province from 1952 to 2020. The data were divided by year and regional indicators in Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, all of which have the same structure. For example, the data table from 1952 to 1998 has seven fields: Field 1: Year Field 2: Number of graduates Field 3: Enrollment Field 4: Number of students enrolled Field 5: Number of staff Field 6: Full-time teacher Field 7: Number of students per full-time teacher
Qinghai Provincial Bureau of Statistics
The data set records the basic statistics of the non-public economy in Qinghai province from 2000 to 2020, and the data is divided by economic type and industry category. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are as follows: Index of Economic Benefit of Non-Public Industrial Enterprises (2007) 2008. XLS, Basic Conditions of Non-public Economy 2000-2002. XLS, Basic Conditions of Non-Public Economy 2000-2003. Basic Statistics on the Non-Public Sector of the Economy 2006-2010 XLS, Basic Statistics on the Non-Public Sector 2007-2011 XLS, Basic Statistics on the Non-Public Sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-Public Sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-public Sector of the Economy 2007-2010 XLS, Basic Statistics on the Non-public Sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-public sector of the Economy 2008-2011 XLS, Basic Statistics on the Non-public sector of the Economy 2008-2011 XLS, Basic Statistics on non-public Sector of the Economy 2010-2012 XLS, Basic Statistics on Non-public Sector of the Economy 2013-2015 XLS, Basic Statistics on Non-public Sector of the Economy 2014-2016 XLS, Basic Statistics on Non-public Sector of the Economy 2015-2017 XLS, Basic Situation of Non-public Economy in Qinghai Province (2019). XLS, Basic Situation of Non-public Economy in Qinghai Province (2020). XLS. The data table structure is the same. For example, the data table from 2015 to 2017 has 7 fields: Field 1: indicator Field 2: Item Field 3: Number of households Field 4: Practitioner Field 5: Registered capital Field 6: Sales revenue or operating revenue Field 7: Total output
Qinghai Provincial Bureau of Statistics
This dataset records the statistical data of comprehensive energy balance sheet of Qinghai Province from 2000 to 2020. The data are divided by energy available for local consumption, input (-) output (+) of processing and conversion, loss and terminal consumption. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, all of which have the same structure. For example, there are 30 fields in the data table from 2012 to 2017, among which the main fields are: Field 1: Item Field 2:2012 Field 3:2013 Field 4:2014 Field 5:2015 Field 6:2016 Field 7:2017
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the ranking of the main source areas of tourists from Qinghai province to Qinghai province from 2012 to 2020. The data are divided by the source areas of tourists from Gansu, Jiangsu, Guangdong, Xinjiang, Shaanxi, Henan, Beijing, Sichuan, Shandong and Shanghai. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains eight data tables, which are: Main source of tourists into Qinghai ranked in 2012. XLS Main source of tourists into Qinghai ranked in 2018. XLS Main source of tourists into Qinghai ranked in 2013. XLS Main source of tourists into Qinghai ranked in 2014. XLS Main source of tourists into Qinghai ranked 2015. XLS The main source of tourists into Qinghai ranked in 2016. XLS Main source of tourists into Qinghai ranked in 2017. XLS Main source of tourists into Qinghai ranked 2020. XLS The data table structure is the same. For example, there are four fields in the 2012 data table of the ranking of main source of tourists in Qinghai: Field 1: region Field 2: Out-of-province visitors Field 3: Proportion Field 4: rank
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of retail and catering chain operation in Qinghai province from 2009 to 2020, and the data is divided by registration type, industry group, business type, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, which are: Retail and catering chain operation consolidated table 2009. XLS Retail and catering chain operation comprehensive table 2010. XLS Retail chain operation comprehensive table 2011. XLS Retail chain operation comprehensive table 2012. XLS Retail chain operation comprehensive table 2013. XLS Retail chain operation comprehensive table 2014. XLS Retail chain operation comprehensive table 2015. XLS Retail chain operation comprehensive table 2016. XLS Retail chain operation comprehensive table 2017. XLS Retail chain operation comprehensive table 2018. XLS Retail chain operation comprehensive table 2019. XLS Retail chain operation comprehensive table 2020. XLS The data table structure is the same. For example, the comprehensive table of retail and restaurant chain operation in 2010 has 6 fields: Field 1: indicator Field 2: Total number of chain stores Field 3: Number of stores Field 4: Number of employees at year-end Field 5: Total purchase amount of goods in chain stores Field 6: Chain store merchandise sales
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of maternity insurance participants and fund collection in Qinghai province from 1999 to 2020. The data were divided by insurance participants, women, the number of times enjoying maternity insurance benefits in the current period, by treatment category, the number of births in the current period, the number of family planning operations, fund revenue and expenditure, insurance participants and other indicators. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: XLS, Maternity Insurance Personnel and Fund Collection (2001). XLS, Maternity Insurance Personnel and Fund Collection (2002). XLS, Maternity Insurance personnel and Fund Collection (2002). XLS, Maternity Insurance Personnel and Fund Collection (2005). XLS, Maternity Insurance Personnel and Fund Collection (2006). XLS, Maternity Insurance personnel and Fund Collection (2005). Number of Participants in Maternity Insurance and Fund Collection (2007). XLS, Number of Participants in Maternity Insurance in Qinghai Province (2014-2019). XLS, Number of Participants in Maternity Insurance in Qinghai Province (2015-2020). Maternity insurance participants and fund collection (2018). XLS, et al. The data table structure is the same. For example, the data table from 2015 to 2020 has 7 fields: Field 1: indicator Field 2:2015 Field 3:2016 Field 4:2017 Field 5:2018 Field 6:2019 Field 7:2020
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the composition of non-public economic added value in Qinghai Province from 2000 to 2020. The data are divided according to economic type, industry category and industrial structure. The data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 14 data tables, namely: the composition of non-public economic added value from 2000 to 2002. XLS, non-public economy Composition of added value 2000-2003 Xls, composition of added value of non-public economy from 2009 to 2011 Xls, composition project of non-public economic added value, 2006-2009 Xls, value added component of non - public economy, 2006 Xls, value added component of non-public economy, 2007-2010 Xls, value added component of non - public economy, 2007 Xls, non-public economic value added component project, 2008 Xls, composition project of non-public economic added value, 2010-2012 Xls, composition project of non-public economic added value, 2013-2015 Xls, composition project of non-public economic added value, 2014-2016 Xls, non-public economic value added component project, 2015-2017 Xls, composition project of non-public economic added value in Qinghai Province (2018-2019) Xls, composition project of non-public economic added value in Qinghai Province (2019-2020) xls。 The data table structure is different. For example, the data table for 2000-2002 has seven fields: Field 1: indicator Field 2: total output Field 3: add value Field 4: remuneration of workers Field 5: depreciation of fixed assets Field 6: net production tax Field 7: operating surplus
Qinghai Provincial Bureau of Statistics
The data set recorded the statistics of investment of real estate development enterprises (units) by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining, Haidong, Haibei prefecture, Hainan Prefecture, And Huangnan Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Investment of Real Estate Development Enterprises (units) by Use 2000-2009 XLS, Investment of Real Estate Development Enterprises (units) by Use 2000-2010 XLS, Investment of Real Estate Development Enterprises (units) by Use 2000-2011 XLS, Investment amount of Real Estate Development Enterprises (Units) by Use 2000-2012 XLS, Investment Amount of Real Estate Development Enterprises (units) by Use 2000-2013 XLS, Investment Amount completed by Real Estate Development Enterprises (units) by Use 1997-2005 XLS, Amount of Investment Completed by Real Estate Development enterprises (Units) by Use 1997-2006 XLS, Amount of Investment Completed by Real Estate Development Enterprises (units) by Use 1997-2007 XLS, Amount of completed investment of Real estate development enterprises (units) by Use 1997-2008 XLS, Amount of Investment of Real estate development enterprises (units) by Use in Qinghai Province (2001-2020) XLS, etc. The data table structure is the same. For example, the data table from 2000 to 2009 has 6 fields: Field 1: Year region Field 2: Investment completed for the current year Field 3: Residence Field 4: Office Field 5: Commercial premises Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the main indexes of agricultural economic benefits in Qinghai province in the main years from 1952 to 2020. The data were divided by years. The per capita output value was calculated at the 1990 constant price before 2004, and the current price in 2005. 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 4 fields: Field 1: Year Field 2: Food production per capita Field 3: Oil production per capita Field 4: Gross agricultural output per capita
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistical data of fixed asset investment in projects of more than 5 million yuan in Qinghai Province from 1996 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains six data tables, which are: Investment in urban fixed assets of 5 million Yuan and above (2011). XLS, investment in fixed assets of 5 million Yuan and above in the whole society (2011). XLS, investment in fixed assets of projects of 5 million Yuan and above (1996-2018). 5. XLS, Fixed asset investment Growth rate of Projects over 5 million Yuan in Qinghai Province (1996-2020) The data table structure is the same. For example, the 2011 table has 6 fields: Field 1: New project started Field 2: All completed and put into production projects Field 3: Project completion and commissioning rate Field 4: Fixed asset investment amount Field 5: Added fixed assets Field 6: Delivery utilization rate
Qinghai Provincial Bureau of Statistics
The dataset records the statistical data of permanent resident population and natural variation in Qinghai Province in major years from 1952 to 2019, and the data is divided by year. The data of 1990, 2000 and 2010 are the projections of census data of that year, and the data of other years are the projections of sample survey on population change. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2011. XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2012. XLS, Permanent Population and Natural Fluctuation in Main Years 1952-2013 XLS. Permanent Population and Natural Fluctuations in Major Years 1952-2014. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural Fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural fluctuations in Major Years 1952-2016. XLS, Permanent Population and Natural fluctuations in Major Years 1952-2017.xls, Permanent population and natural variation in major years 1952-2018. XLS, data table structure is the same. For example, the 2006 table has 5 fields: Field 1: Year Field 2: Resident population Field 3: Birth Field 4: Death Field 5: Natural growth
Qinghai Provincial Bureau of Statistics
The data set records the statistics of the number of foreign tourists received by Qinghai Province from 2000 to 2020 (by country), and the data are divided by the origin of Japan, South Korea, Indonesia, Malaysia, the Philippines, Singapore, Thailand, the United Kingdom, France and other countries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: The number of foreign tourists received by country in 2000-2001. XLS Number of foreign tourists received by country in 2001-2002. XLS Number of foreign tourists received by country in 2003-2005. XLS The number of foreign tourists received by country in 2004-2006. XLS Number of foreign tourists received by country in 2005-2007. XLS Number of foreign tourists received by country in 2005-2008. XLS Number of foreign tourists received by country in 2006-2009. XLS Number of foreign tourists received by country 2007-2010. XLS Number of foreign tourists received by country 2008-2011. XLS The number of foreign tourists by country in 2011-2012. XLS Number of foreign tourists received by country in 2012-2013. XLS The number of foreign tourists received by country in 2013-2014. XLS Number of foreign tourists received by country in 2014-2015. XLS The number of foreign tourists received by country in 2015-2016. XLS The number of foreign tourists received by country in 2016-2017. XLS The number of foreign tourists received by country in 2017-2018. XLS The number of foreign tourists received by country in 2018-2020. XLS Number of foreign tourists in 2004. XLS Number of foreign tourists received by country by 2002-2003.xls The data table structure is the same. For example, the number of foreign tourists received by country for 2000-2001 has three fields: Field 1: Country region Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the total output index of Qinghai Province in major years from 1952 to 2019. The data is divided by year, where the index is: the previous year is 100. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 37 data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Total output Field 2: Primary industry Field 3: Secondary industry Field 4: Tertiary industry Field 5: Agriculture, forestry, animal husbandry and fishery Field 6: Industry Field 7: Construction industry
Qinghai Provincial Bureau of Statistics
This data set records the statistics of the basic situation of lawyers, notaries and mediation work in Qinghai Province from 1998 to 2020. Data according to the lawyer, lawyer (a), a worker as perennial legal adviser (people), and the unit (point), defense and agency (piece) of criminal procedure, civil case litigation agent (a), administrative case litigation agent (a), non-litigation legal affairs (pieces), write legal documents (pieces), notarization work, handling of foreign-related notarization (a), Notary office (number), notary personnel (person), notary (person), handling domestic notarization (documents), handling foreign notarization (documents), handling notarization (documents) related to Hong Kong, Macao and Taiwan, receiving visitors (person-times), handling letters (documents), entrusting (documents) from foreign notary offices, and income from notary fees (ten thousand yuan). 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 on lawyer, notarization and mediation work 2006-2007. XLS Basic information on lawyer, notarization and mediation 1998. XLS Basic information on lawyer, notarization and mediation 1999. XLS Basic information on lawyer, notarization and mediation work 2000-2001. XLS Basic information on lawyer, notarization and mediation work 2000. XLS Basic information of lawyer, notarization and mediation work 2001-2002. XLS Basic information of lawyer, notarization and mediation work 2002-2003. XLS Basic information on lawyer, notarization and mediation work 2004-2005. XLS Basic information on lawyer, notarization and mediation work 2004.xls Basic information on lawyer, notarization and mediation work 2005-2006. XLS Basic information of lawyer, notarization and mediation work 2006-2008. XLS Basic information on lawyer, notarization and mediation work 2007-2009. XLS Basic information on lawyer, notarization and mediation work 2008-2010. XLS Basic Information on lawyer, notarization and mediation work 2009-2011. XLS Basic Statistics on lawyer, notarization and mediation work 2011-2012 XLS Basic statistics on lawyer, notarization and mediation work 2012-2013. XLS Basic Statistics on lawyer and notarial work 2013-2014 XLS Basic Statistics on lawyer and notarial work 2014-2015 XLS Basic Statistics on lawyer and notarial work 2015-2016. XLS Basic Statistics on lawyers and notarization work 2016-2017. XLS Basic Statistics on lawyers and notarization work 2017-2018. XLS Basic Statistics on lawyers and notarization work 2018-2019. XLS Basic Statistics on lawyer and notarial work 2019-2020. XLS The data table structure is similar. For example, the 2003 data table of various professional and technical personnel by industry has three fields: Field 1: Item Field 2:2006 Field 3:2007
Qinghai Provincial Bureau of Statistics
The data records statistical data on main indicators of local industrial enterprises above designated size in Qinghai province from 2008 to 2020. The data is divided by state-owned holding enterprises, registration types and industrial sectors. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset consists of 11 data tables with the same structure for each year. For example, the 2017 table has 11 fields. Field 1: Item 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: Original price of fixed assets Field 10: Accumulated depreciation Field 11: Current year depreciation
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the base index of consumer price for urban and rural residents in Qinghai Province from 2009 to 2020. The total data in the consumer price index, the smoke of food price index, food (the original diameter) index, the index of non-food (diameter), the service price index, industrial goods price index, the fresh food price index, the consumer price index, the index of energy prices, the food price index, excluding food and energy prices, excluding fresh fruit price index, excluding home ownership Price index, living (deduct self-owned housing) price index, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 21 data tables, which are: Base Index of Urban and Rural Consumer Prices (2009).xls, Base Index of Urban and Rural Consumer Prices (2010).xls, Base Index of Urban and Rural Consumer Prices (2011).xls, Base Index of Urban and Rural Consumer Prices (2012).xls, Qinghai Province Consumer Price base Index for Urban and Rural Residents (2019).XLS, Qinghai Province Consumer Price base Index for Urban and Rural Residents (2020).XLS, etc. The data table structure is the same. For example, the 2012 data table has 4 fields: Field 1: Year Field 2: province Field 3: Town Field 4: Rural
Qinghai Provincial Bureau of Statistics
The data set records the growth of GDP driven by the three industries in Qinghai province from 1990 to 2020. The data is divided by year, in which industry driving refers to the product of GDP growth rate and contribution rate of each industry. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, all of which have the same structure. For example, the data table from 1990 to 2007 has 6 fields: Field 1: Year Field 2: Gross product Field 3: Primary industry Field 4: Secondary industry Field 5: Tertiary industry Field 6: Industry
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the basic situation of higher education institutions in Qinghai Province from 1957 to 2020. The data is divided by main years and regions such as Xining, Haidong and Haixi. The student-teacher ratio is calculated by using the educational statistical conversion method, and the student-teacher ratio is equal to the number of enrolled students/total number of teachers. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables with the same structure. For example, the data table from 1957 to 2003 has seven fields: Field 1: Year region Field 2: Number of graduates Field 3: Enrollment Field 4: Number of students enrolled Field 5: Number of staff Field 6: Full-time teacher Field 7: Faculty-student ratio
Qinghai Provincial Bureau of Statistics
The data set recorded the output of major industrial products in Qinghai province from 1952 to 2020. Data by the cotton yarn, cotton, wool, wool, blankets, carpets, industrial, shoes, machine made paper and cardboard, crude salt, edible vegetable oil, matches, soap, synthetic detergent, cigarettes, liquor, beer, daily pure aluminum products, raw coal, crude oil, crude oil processing capacity, electricity, steel, aluminium, pure silicon, ferroalloy, wood, copper concentrate containing copper, nickel concentrate containing nickel, zinc concentrate Zinc and lead concentrates containing lead, caustic soda, sulfuric acid, sodium alum, borax, calcium carbide, synthetic ammonia, chemical fertilizer, metal cutting machine tools, automobiles, internal combustion engines, agricultural trailers, bulldozers, milk separator, telephone sets, cement, asbestos division. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 30 data tables, which are: Main years Main industrial product output 1952-1998. XLS Major years Output of major industrial products 1952-1999. XLS Main years Output of major industrial products 1952-2000. XLS Major years Output of major industrial products 1952-2001. XLS Main years Output of main industrial products 1952-2002. XLS Main years Main industrial product output 1952-2003. XLS Main years Output of main industrial products 1952-2004. XLS Main years Main industrial product output 1978-2006. XLS Main years Main industrial product output 1978-2007. XLS Main years Main industrial products output 1978-2008. XLS Main years Main industrial product output 1978-2005. XLS Main years Main industrial product output 1990-2009. XLS Main years Main industrial product output 1990-2010. XLS Total production of major industrial products 1998. XLS Total production of major industrial products 1999. XLS Total production of major industrial products in 2000. XLS Main industrial product output 2000-2001. XLS Main industrial product output 2001-2002. XLS Main industrial product output 2002-2003. XLS Main industrial product output 2004. XLS Output of main industrial products 2006-2011. XLS Output of major industrial products 2008-2013. XLS Output of major industrial products 2008-2014. XLS Output of major industrial products 2010-2015. XLS Main years Main industrial product output 2010-2016. XLS Output of major industrial products 2012-2017. XLS Output of major industrial products 2013-2018. XLS Main years Main industrial product output 2008-2012 XLS, Output of Major industrial Products in Qinghai Province 2015-2020.xLS, Output of major industrial products in Qinghai Province 2015-2020-1. XLS The data table structure is the same. For example, output of major industrial products 2000-2001 data table has 3 fields: Field 1: Product name Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of per capita income and expenditure of permanent rural residents in Qinghai Province from 2014 to 2020, divided by disposable income and consumption expenditure. 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 income and expenditure of permanent rural residents Per capita income and expenditure of permanent rural residents Per capita income and expenditure of permanent rural residents Per capita income and expenditure of permanent rural residents in 2017 Per capita income and expenditure of permanent rural residents Per capita income and expenditure of permanent urban Residents in Qinghai Province Per capita income and expenditure of permanent urban residents in Qinghai Province 2020. XLS The data table structure is the same. For example, the 2014 data table of per capita income and expenditure of permanent rural residents has five fields: Field 1: indicator Field 2: Item Field 3: Absolute number Field 4: Growth rate Field 5: Composition
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of unemployment insurance in Qinghai province from 1999 to 2020, and the data is divided by enterprises, undertakings, other and peasant contract workers. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 24 data tables, which are: Basic Information about Unemployment Insurance (1999-2001) XLS basic Information about Unemployment Insurance (1999-2002) XLS Basic Information about Unemployment Insurance (2000-2005) XLS Basic Information about Unemployment Insurance (2000-2005) XLS basic Information about Unemployment Insurance (1999-2001) XLS basic Information about Unemployment Insurance (2000-2005) XLS Basic Information about Unemployment Insurance (2000-2005) Basic Information about Unemployment Insurance 2001-2003 XLS basic Information about Unemployment Insurance 2005-2009 XLS Basic Information about Unemployment insurance 2005-2010 XLS Basic Information about Unemployment insurance 2001-2006 XLS Basic Information about Unemployment Insurance (2001-2007) XLS basic Information about Unemployment Insurance (2001-2008) XLS Basic Information about Unemployment insurance (2005-2011) XLS Basic Information about Unemployment insurance (2005-2012) XLS Basic Information about Unemployment insurance (2006-2013) XLS, Basic Information about Unemployment insurance 2010-2014 XLS basic information about Unemployment insurance 2010-2015 XLS Basic information about Unemployment insurance 2011-2016 XLS Basic Information about Unemployment insurance 2012-2017 XLS Basic Information about Unemployment insurance 2013-2018 XLS, Basic Information about unemployment insurance 2014-2019 XLS, Basic information about unemployment insurance 2015-2020 XLS, income and expenditure of unemployment insurance Fund 1999 XLS, income and expenditure of unemployment insurance Fund 2000 XLS The data table structure is the same. For example, the 1999-2001 data table has 4 fields: Field 1: Item Field 2:1999 Field 3:2000 Field 4:2001
Qinghai Provincial Bureau of Statistics
The data set recorded the statistics of major economic indicators of construction enterprises in Qinghai province by region from 2008 to 2020, divided by state-owned and state-controlled enterprises, as well as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, with slightly different data table structures for each year. For example, the 2010 table has eight fields: Field 1: region Field 2: Number of enterprises Field 3: Number of enterprises with workload Field 4: Amount of contract signed Field 5: Total construction output value Field 6: Value of completed value Field 7: Area under construction Field 8: Area completed
Qinghai Provincial Bureau of Statistics
The data set recorded the emergence of major livestock from 1978 to 2020 in Qinghai Province by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, which are: Statistics on livestock Production in Main Years 1978-2020.xLS, Statistics on Livestock Production in main years 1978-2004.xLS, Statistics on Livestock production in Main years 1978-2008.xLS, Statistics on Livestock production in Main years 1978-2009.xls, Livestock Production in major years 1978-2010. XLS, Livestock Production in Major years 1978-2011. XLS, Livestock Production in Major years 1978-2012. XLS, Livestock production in Major years 1978-2013. Livestock Production in major years 1978-2014. XLS, Livestock production in major years 1978-2015. XLS, Livestock production in Major years 1978-2016. XLS, Livestock production in Major years 1978-2017. Livestock Production in major Years 1978-2018. XLS, Livestock Production in Major years 1978-2006. XLS, Livestock Production in Major Years 1978-2007. XLS, Livestock production in Major Years 1997-2005. Main livestock output 1978-2003. XLS. The data table structure is the same. For example, the 1978-2004 data table has 5 fields: Field 1: Year region Field 2: Big livestock Field 3: Sheep Field 4: Number of pigs sold Field 5: Number of poultry sold
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of foreign capital amount of fdi contracts in Qinghai province by industry from 2000 to 2020. Data in an ecological-economic, extractive industries, manufacturing, electricity, gas and water production and supply, construction, transportation, warehousing and postal service, wholesale and retail trade, accommodation and catering industry, real estate, leasing and business services, scientific research, technical services, water environment, the residents of public service and other services, health, sports and social FuLiYe, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, which are: Volume of Foreign Direct Investment Contracts by Sector (2003). XLS, Volume of Foreign Direct Investment Contracts by Sector 2000-2001. XLS, Volume of Foreign Direct Investment Contracts by Sector 2001-2002. XLS, Volume of Foreign Direct investment Contracts by Sector 2003-2005. Volume of Foreign Direct Investment Contracts by Sector 2004-2009.xLS, Volume of Foreign Direct Investment Contracts by Sector 2006-2009.xLS, Volume of Foreign Direct investment Contracts by sector 2004-2006.xLS, Volume of Foreign Direct investment Contracts by sector 2005-2007.xls, Volume of Foreign Direct Investment Contracts by Sector 2005-2008 XLS, Volume of Foreign Direct Investment Contracts by Sector 2007-2010 XLS, Volume of Foreign Direct investment Contracts by Sector 2008-2011 XLS, Volume of Foreign Direct investment Contracts by Sector 2011-2012 XLS, Total Amount of Foreign Direct Investment Contracts by Sector 2012-2013 XLS, Total Amount of Foreign Direct Investment Contracts by Sector 2013-2014 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2014-2015 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2015-2016 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2013-2014 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2014-2015 XLS, Total Amount of Foreign Direct investment Contracts by Sector 2015-2016 Total Amount of Foreign Direct investment Contracts by Industry 2016-2017 XLS, Total Amount of Foreign direct investment contracts by Industry of Qinghai Province 2018-2019 XLS, Total Amount of Foreign direct investment contracts by industry of Qinghai Province 2017-2018 XLS, Total Amount of Foreign direct investment contracts by industry of Qinghai Province 2019-2020 XLS, etc. The data table structure is the same. For example, the 2004-2006 data table has three fields: Field 1: Industry Field 2: Item Field 3: Amount
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of total import and export trade of Qinghai Province from 1985 to 2020. The data are divided by major years. The data is compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 19 data tables, respectively: The total import and export trade volume of Qinghai Province in the main years 1990-2020 xls Total import and export trade in major years 1954-2010 xls Total import and export trade in Main Years 1978-2004 xls Total import and export trade in Main Years 1978-2005 xls Total import and export trade in Main Years 1978-2006 xls Total import and export trade in Main Years 1985-2008 xls Total import and export trade in Main Years 1985-2009 xls Total import and export trade in Main Years 1985-2011 xls Total import and export trade in Main Years 1985-2007 xls Total import and export trade in major years 1990-2013 xls Total import and export trade in major years 1990-2014 xls Total import and export trade in major years 1990-2015 xls Total import and export trade in major years 1990-2016 xls Total import and export trade in major years 1990-2017 xls Total import and export trade in major years 1990-2018 xls Total import and export trade in Main Years 1990-2012 xls Total import and export trade, 1978-2001 xls Total import and export trade, 1978-2002 xls Total import and export trade 1978-2003 xls The total import and export value of Qinghai Province in 2000 xls The data table structure is the same. For example, the data sheet of total import and export trade from 1978 to 2001 has four fields: Field 1: year Field 2: total import and export Field 3: total imports Field 4: total exports
Qinghai Provincial Bureau of Statistics
The data set recorded the statistics on the proportion of fiscal revenue to the regional GDP in Qinghai Province in major years from 1952 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 16 data tables, which are: Proportion of Fiscal revenue in GDP of Qinghai Province in major years 1957-2020.xls, the proportion of fiscal revenue in GDP of Major years 1952-2004.xls, the proportion of fiscal revenue in GDP of Major years 1952-2005.xls, Percentage of fiscal revenue in GDP in major years 1952-2006 XLS, percentage of fiscal revenue in GDP in major years 1952-2007 XLS, percentage of fiscal revenue in GDP in major years 1952-2008 XLS, Percentage of fiscal revenue in GDP in major years 1952-2009 XLS, percentage of fiscal revenue in GDP in major years 1952-2010 XLS, percentage of fiscal revenue in GDP in major years 1952-2011 XLS, Percentage of fiscal revenue in GDP in major years 1952-2012 XLS, percentage of fiscal revenue in GDP in Major years 1952-2013 XLS, percentage of fiscal revenue in GDP in major years 1952-2014 XLS, Percentage of fiscal revenue in GDP in Major years 1952-2014 Percentage of fiscal revenue in GDP in major years 1952-2015 XLS, percentage of fiscal revenue in GDP in major years 1952-2016 XLS, percentage of fiscal revenue in GDP in major years 1952-2017 The proportion of fiscal revenue in GDP in major years 1952-2018. XLS, the data table structure is the same. For example, the 2004 table has six fields: Field 1: Year Field 2: region Field 3: Financial revenue Field 4: Local public finance budget revenue Field 5: Proportion of total fiscal revenue to GDP Field 6: Local public finance budget revenue as a percentage of GDP
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of total agricultural output value of sub-projects in Qinghai province from 1998 to 2020, which were divided by agricultural output value, vegetables, edible fungi, flowers and horticultural crops, fruits, nuts and spices raw materials, forestry output value, animal husbandry output value, fishery output value, agriculture, forestry, animal husbandry and fishery services. 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 2007 table has three fields: Field 1: Indicator name Field 2: Current year prices Field 3: At comparable prices
Qinghai Provincial Bureau of Statistics
The data set records the number of students per 10,000 population in Qinghai province from 1952 to 2020, and the data is divided by statistical year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Number of students per 10,000 population in Qinghai Province (1957-2020). XLS Number of students per 10,000 population in the province, 1952-1998. XLS Number of students per 10,000 population in the province, 1952-1999. XLS Number of students per 10,000 population in the province, 1952-2000. XLS Number of students per 10,000 population in the province, 1952-2001. XLS Number of students per 10,000 population in The province, 1952-2002. XLS Number of students per 10,000 population in the province 1952-2003. XLS Number of students per 10,000 population in the province, 1952-2004. XLS Main years Number of students per 10,000 population in the province 1952-2006. XLS Main years Number of students per 10,000 population in the province 1952-2007. XLS Main years Number of students per 10,000 population in the province 1952-2008. XLS Number of students per 10,000 population in the province 1952-2009. XLS Number of students per 10,000 population in the province 1952-2011. XLS Number of students per 10,000 population in the province 1952-2012. XLS Number of students per 10,000 population in The province 1952-2013. XLS Number of students per 10,000 population in The province 1952-2014. XLS Number of students per 10,000 population in The province 1952-2015. XLS Number of students per 10,000 population in The province 1952-2016. XLS Number of students per 10,000 population in The province from 1957 to 2017. XLS Number of students per 10,000 population in The province, 1957-2018. XLS Number of students per 10,000 population in the province, 1963-2010. XLS Number of students per 10,000 population in main years 1996 -2005. XLS The data table structure is the same. For example, the number of students per 10,000 population in the province from 1952 to 1998 has 6 fields: Field 1: Year Field 2: College students Field 3: Secondary school students Field 4: Intermediate division Field 5: Secondary school students
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of consumer price index (CPI) of surveyed cities and counties in Qinghai Province from 2016 to 2020. The data is divided by year and regions such as Xining, Datong, Ledu, Pingan, Haiyan, Tongren, Fuyi, Maqin, Yushu, Golmu and Delingha. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains seven data tables, which are: To investigate the consumer price index (CPI) of cities and counties in 2016. XLS: to investigate the CPI of cities and counties in 2018. XLS: to investigate the CPI of cities and counties in 1999. Consumer Price Index of surveyed cities and counties 2000. XLS, Consumer price index of surveyed cities and counties of Qinghai Province (2019). XLS, Consumer price index of surveyed cities and counties of Qinghai Province (2020). The data table structure is the same. For example, the 1999 table had nine fields: Field 1: Total index Field 2: Food, tobacco and alcohol Field 3: Clothing Field 4: Residence Field 5: Daily necessities Field 6: Traffic and Field 7: Educational culture Field 8: Health care Field 9: Other supplies
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the average salary and index of employed non-private sector employees in Qinghai Province in major years from 1978 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, which are: Average wages and indices of major years 1978-2004 XLS, 1978-2005 XLS, 1978-2006 XLS, 1978-2007 Average Wages and Indices of Employed Staff in non-private Sector of major years 1978-2011 XLS, main years 1978-2009 XLS, main years 1978-2010 XLS, Main years 1978-2011 Main years Average Wage and Index of Employed Staff and Workers in Non-private Sector, 1981-2012, main years Average Wage and Index of Employed Staff and workers in Non-private Sector, 1981-2013. XLS, main years Average wage and index of Employed Staff and workers in Non-private Sector, 1981-2014. Average Wage and index of Employed Staff and Workers in non-private Sector in major years 1981-2015 XLS, Average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2016 XLS, average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2017 XLS, Average Wage and Index of Employed Staff and Workers in Non-private Units in Main years 1981-2018. XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2019). XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2020). For example, the 2018 table has 4 fields: Field 1: Year Field 2: region Field 3: Average salary Field 4: Index
Qinghai Provincial Bureau of Statistics
The data set records the number of institutions and personnel in the banking system of Qinghai Province from 2006 to 2020. The data are based on the people's Bank of China, industrial and Commercial Bank of China, Agricultural Bank of China, Bank of China, China Construction Bank, agricultural development bank, China Development Bank, bank of Qinghai, rural credit cooperatives, rural commercial banks, rural cooperative banks, postal savings bank, China CITIC Bank, China Merchants Bank, Shanghai Pudong Development Bank Divided by Bank of communications, rural banks, finance companies, Minmetals trust and industrial bank. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The data set contains 15 data tables with the same structure. For example, the data table for 2006 has three fields: Field 1: Project Field 2: number of institutions Field 3: number of people at the end of the year
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of various professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2001 to 2020. The data are divided into agriculture, forestry, animal husbandry and fishery, mining, manufacturing, power, gas and water production and supply, construction, transportation, warehousing and postal administration, information transmission, computer services and software, wholesale and retail, accommodation and catering, and gold Financial industry, real estate industry, leasing and business service industry, scientific research and technology service, geological exploration industry, water conservancy environment and public facilities management industry, resident service and other service industries, education, health, social security and social welfare industry, culture, sports and entertainment industry, public management and social organizations, international organizations, etc. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 36 data tables: Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2013 xls Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2014 xls Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2012 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2015 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2016 xls Professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2015 to 2020 xls Professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2010 to 2019 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2017 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2010-2018 xls Situation of various professional and technical personnel in institutions and enterprises, 2001-2003 xls Situation of various professional and technical personnel in institutions and enterprises, 2001-2005 xls。 Professional and technical personnel of institutions and enterprises, 2004 xls Professional and technical personnel of public institutions by industry, 2004 xls Professional and technical personnel of public institutions by industry, 2003 xls Professional and technical personnel of enterprises and institutions by industry, 2006 xls Professional and technical personnel of the enterprise by industry, 2004 xls Professional and technical personnel by industry, 2003 xls Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2006 XLS Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2007 XLS Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2008 XLS Professional and technical personnel of state - owned institutions and enterprises 2005 - 2009 xls Professional and technical personnel of state-owned institutions and enterprises, 2005-2010 XLS Professional and technical personnel of state-owned institutions and enterprises, 2005-2011 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2010 xl Professional and technical personnel of state-owned enterprises and institutions by industry, 2011 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2012 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2013 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2014 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2015 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2016 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2017 xls Professional and technical personnel of state-owned enterprises and institutions by industry in 2018 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2006 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2007 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2008 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2009 xls The data table structure is the same. For example, there are 7 fields in the 2003 data sheet of the enterprise's professional and technical personnel by industry: Field 1: Industry Field 2: Total Field 3: engineering technicians Field 4: agricultural technicians Field 5: Researchers Field 6: health technicians Field 7: Educators
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the basic situation of environmental protection in Qinghai Province from 2005 to 2020. The data were divided into water environment, ammonia nitrogen emission, air environment, smoke (powder) dust emission, solid waste, urban environment and rural environment. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, which are: Basic information on Environmental Protection 2013-2014. XLS Basic information on Environmental Protection 2014-2015 XLS Basic information on Environmental Protection 2016-2017. XLS Basic information on Environmental Protection 2019-2020.xls Basic information on Environmental Protection in 2016.xls Basic information on environment 2005-2006. XLS Basic information on environment 2005-2007. XLS Basic information on environment 2005-2008. XLS Basic information on environment 2006-2009. XLS Basic information on environment 2007-2010. XLS Basic information on environment 2008-2011. XLS Basic information on environment 2009-2012. XLS Basic information on environment 2010-2013. XLS The data table structure is the same. For example, basic Information on environmental Protection 2013-2014 data table has four fields: Field 1: indicator Field 2: item Field 3:2013 Field 4:2014
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the basic situation of technology market in Qinghai Province from 1952 to 2020. The data were divided according to the registration form of various technology contracts and the transaction amount of various technology contracts. The specific classification included technology development contracts, technology transfer contracts, technology consulting contracts and technical service contracts. 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 technology market in main years 1952-2010. XLS Basic information of technology market 1978-2005. XLS Key years Basic information of technology market 1990-2004. XLS Basic information of technology market 1990-2007.XLS Main years Basic information of technology market 1990-2008. XLS Basic information of technology market 1990-2009.xLS Basic information of technology market in main years 1990-2011. XLS Key years Basic information of technology market 1990-2006.xLS Basic information of technology market in Main years 2000-2013 XLS Basic information of technology market in Main years 2000-2014 XLS Basic information of technology market in main years 2010-2015. XLS Main years Basic information of technology market 2010-2016. XLS Basic information of technology market in main years 2010-2017. XLS Basic information of technology market in Main years 2010-2018. XLS Main years Basic information of technology market 2010-2019. XLS Basic information of technology market in main years 2015-2020. XLS Basic information of technology market in Main years 1995-2012 XLS Basic information on technology market 1990-1998. XLS Technology market fundamentals 1990-1999. XLS Basic information on technology market 1990-2000. XLS Basic information on technology market 1990-2001. XLS Technology market fundamentals 1990-2002. XLS Basic information of technology market 1990-2003.xLS The data table structure is the same. For example, the technology market fundamentals 1990-1998 data table contains eight fields: Field 1: Category Field 2: units Field 3:1990 Field 4:1994 Field 5:1995 Field 6:1996 Field 7:1997 Field 8:1998
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of industrial added value of industrial enterprises above designated size by industry in Qinghai Province from 2000 to 2020. Data in coal mining and washing industry, oil and gas industry, ferrous metal CaiXuanYe, non-ferrous metal CaiXuanYe CaiXuanYe and other non-metallic mineral resources, mining, agricultural and sideline products processing industry, food industry, beverage manufacturing, textile industry, textile and garment, shoes, caps manufacturing, paper and paper products industry, medicine, chemical fiber, rubber products, plastic manufacturing Products, non-metallic mineral products, ferrous metal smelting and rolling processing industry, non-ferrous metal smelting and rolling processing industry, fabricated metal products, general equipment manufacturing industry, special equipment manufacturing, transportation equipment manufacturing, electric machinery and equipment manufacturing, communications equipment, computer and so on a total of 41 items. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, which are: Industrial Added Value of Industrial Enterprises above Designated Size by Industry (2012).xLS, Industrial Added Value of Industrial Enterprises above Designated Size by Industry (2013).XLS, Industrial Added Value of Industrial Enterprises Above Designated Size by Industry (2014).xls, Industrial Added Value of Industrial Enterprises Above Designated Size by Industry (2015).xls, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2000-2007 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2005-2008 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2006-2009 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2007-2010 XLS, Industrial Added Value of Industrial Enterprises above Designated Size by Sector 2008-20 XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated Size by Industry (2016). XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated size by industry (2017). XLS, Growth rate and Proportion of Industrial Added Value of Enterprises above Designated size by industry (2018) Growth rate and Proportion of industrial added Value of Shanghai Industrial Enterprises (2019). XLS, growth rate and Proportion of Industrial added Value of Above designated size industrial enterprises by industry in Qinghai Province (2020). XLS, etc. The data table structure is the same. For example, the 2012 data table has 4 fields: Field 1: Industry name Field 2: Industrial added value Field 3: Year-over-year increase Field 4: Total amount
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of civil vehicle ownership in Qinghai province from 1998 to 2020. The data are divided into passenger vehicles, cargo vehicles, other cars, motorcycles, agricultural transport vehicles, tractors, trailers, and other types of vehicles. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 23 data tables, which are: Main years civil vehicle ownership 2000-2005. XLS Civil automobile ownership 2010-2012 XLS Civil automobile ownership 2011-2013. XLS Civil automobile ownership 2012-2014. XLS Ownership of civil automobiles 2013-2015 XLS Ownership of civil automobiles 2014-2016. XLS Civil automobile ownership 2015-2017. XLS Civil automobile ownership 2016-2018. XLS Civil vehicle ownership 2001 2001. XLS Civil vehicle ownership 2000-2005. XLS Civil vehicle ownership 2000-2007. XLS Civil vehicle ownership 2000-2008. XLS Civil vehicle ownership 2002. XLS Civil vehicle ownership 2007-2009. XLS Civil vehicle ownership 2008-2010. XLS Civil vehicle ownership 2009-2011. XLS Civil vehicle ownership 2003. XLS Civil vehicle ownership 2004 2004. XLS Civil vehicle ownership 1998. XLS Civil vehicle ownership 1999. XLS Civil vehicle ownership 2000. XLS Civil vehicle ownership 2017-2018. XLS Civil vehicle ownership 2018-2020. XLS The data table structure is the same. For example, the 1999 data table of civil vehicle ownership has four fields: Field 1: indicator Field 2: Year Field 3: New registration Field 4: Private
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of main indicators of real estate development in Qinghai Province from 1997 to 2020, which are divided by the number of enterprises, average number of employees, land development and purchase, investment completed in the current year, subtotal of capital sources, floor area of housing, commercial housing sales area, total paid-in capital and total operating income. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables with the same structure. For example, the 2014-2018 data table has 7 fields: Field 1: indicator Field 2: Item Field 3:2014 Field 4:2015 Field 5:2016 Field 6:2017 Field 7:2018
Qinghai Provincial Bureau of Statistics
The data set records the population of ethnic minorities in Qinghai province from 1952 to 2019. The data is divided by the total population of ethnic minorities, Tibetan, Hui, Tu, Salar, Mongolian and other ethnic groups, and the proportion of the total population in the province. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 22 data tables, which are: Population of ethnic minorities in the province, 1952-1998. XLS Population of ethnic minorities in the province, 1952-1999. XLS Population of ethnic minorities in The province, 1952-2000. XLS Population of ethnic minorities in the province, 1952-2001. XLS Population of ethnic minorities 1952-2002. XLS Population of ethnic minorities 1952-2003. XLS Population of ethnic minorities in main years 1952-2004. XLS Population of ethnic minorities in main years 1952-2006. XLS Population of ethnic minorities in main years 1952-2008. XLS Population of ethnic minorities in main years 1952-2009. XLS Population of ethnic minorities in main years 1982-2010. XLS Population of ethnic minorities in main years 1985-2007. XLS Population of ethnic minorities in main years 1990-2005. XLS Population of ethnic minorities in main years 2000-2011. XLS Population of ethnic minorities in main years 2006-2013. XLS Population of ethnic minorities in main years 2006-2014. XLS Population of ethnic minorities in main years 2006-2015. XLS Population of ethnic minorities in main years 2006-2016. XLS Population of ethnic minorities in main years 2006-2019. XLS Population of ethnic minorities in main years 2005-2012. XLS Population of ethnic minorities, 2006-2017. XLS Population of ethnic minorities, 2006-2018. XLS data table structure is the same. For example, the data table of the population of ethnic minorities in the province from 1952 to 1998 has 8 fields: Field 1: ethnic group Field 2:1952 Field 3:1978 Field 4:1982 Field 5:1990 Field 6:1996 Field 7:1997 Field 8:1998
Qinghai Provincial Bureau of Statistics
The data set records the statistics of the number of self-driving cars entering Qinghai province from 2008 to 2020. 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 12 data tables, which are: Enter Qinghai autonomous driving volume in 2018. XLS Enter qinghai autonomous driving volume and ranking 2009. XLS Enter qinghai autonomous driving volume and ranking 2010 2010. XLS Enter qinghai autonomous driving volume and ranking 2011. XLS Enter qinghai autonomous driving volume and ranking in 2012. XLS Enter qinghai autonomous driving volume and ranking in 2013. XLS Enter qinghai autonomous driving volume and ranking in 2014. XLS Enter qinghai autonomous driving volume and ranking 2015. XLS Enter qinghai autonomous driving volume and ranking 2016. XLS Enter qinghai autonomous driving volume and ranking 2008. XLS Enter qinghai autonomous driving volume and ranking 2017. XLS Enter qinghai autonomous driving volume and ranking 2020. XLS The data table structure is the same. For example, there are three fields in the 2018 data table of autonomous driving in Qinghai Province: Field 1: Vehicle source land Field 2: Number of self-driving cars Field 3: Year-over-year increase
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of the registration of major scientific and technological achievements in Qinghai province from 1998 to 2020. The data are divided according to the achievement level, the application industry, the application situation, the number of projects with statistical economic benefits, and the economic benefits achieved in the current year after application. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 25 data tables, which are: Basic information of major scientific and technological achievements registration in Province.xls 1998 Basic information on registration of major scientific and technological achievements in Province.xls 1999 Basic information on registration of major scientific and technological achievements in Province.xls Basic information of provincial major scientific and technological achievements registration 2001. XLS Basic information on registration of major scientific and technological achievements in Province.xls 2002 Provincial major scientific and technological achievements registration in 2003. XLS Provincial major scientific and technological achievements registration in 2004. XLS Basic statistics on registration of major scientific and technological achievements 2004-2005. XLS The registration of major scientific and technological achievements in The province 2005-2006. XLS Basic information on registration of major scientific and technological achievements in The province 2006-2007. XLS Basic information of provincial major scientific and technological achievements registration 2008. XLS Basic information of provincial major scientific and technological achievements registration 2009. XLS Basic information of provincial major scientific and technological achievements Registration 2010. XLS Basic information of provincial major scientific and technological achievements registration 2011. XLS Basic information on the registration of major scientific and technological achievements in The province Basic information on registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province in 2015. XLS Basic information of registration of major scientific and technological achievements in The province in 2016 Basic information on registration of major scientific and technological achievements in The province in 2017. XLS The registration of major scientific and technological achievements in The province in 2018. XLS The registration of major scientific and technological achievements in The province Basic information of provincial major scientific and technological achievements registration 2020. XLS The data table structure is the same. For example, there are five fields in the 2001 data table of the registration of major scientific and technological achievements in The province: Field 1: Category Field 2: Total Field 3: Research institution Field 4: Tertiary institution Field 5: Enterprise
Qinghai Provincial Bureau of Statistics
The data recorded the statistical data collected by the archives administration department of Qinghai Province from 2001 to 2020. The data were divided into provincial, prefecture-level and county-level national comprehensive archives. 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 2006 data table had 12 fields. Field 1: Project unit Field 2: Unit quantity Field 3: Personnel Field 4: Education level Field 5: University Field 6: Junior college Field 7: Below high school Field 8: Archival professional procedures Field 9: University Field 10: Junior college Field 11: On-the-job training Field 12: Operating expenses
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of star hotels in Qinghai province from 2009 to 2020, and the data is divided into five stars, four stars, three stars, two stars and one star. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, all of which have the same structure. For example, the 2017 table has 5 fields: Field 1: indicator Field 2: Star hotels Field 3: Number of rooms Field 4: Number of beds Field 5: Number of employees
Qinghai Provincial Bureau of Statistics
The dataset records the contribution rates of the three industries in Qinghai province from 1990 to 2020, and the data is divided by year. Industrial contribution rate refers to the ratio of the increment of added value of each industry to the increment of GDP. The 2006 primary industry figures were adjusted based on agricultural census data. It was adjusted in 2013 based on data from the third Economic Census. In 2013, it was implemented according to the standard of National economic industry classification (GB/T4754-2011). Data for 2018 are preliminary calculations. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, all of which have the same structure. For example, the data table from 1990 to 2007 has 5 fields: Field 1: Year Field 2: Gross product Field 3: Primary industry Field 4: Secondary industry Field 5: Tertiary industry
Qinghai Provincial Bureau of Statistics
The data set records the main situation of the securities industry in Qinghai province from 2013 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 six data tables, which are: Key Conditions of the Securities Industry 2013-2014 XLS, Key Conditions of the Securities Industry 2013-2015 XLS, Key Conditions of the Securities Industry 2014-2016 XLS, Key Conditions of the Securities Industry 2015-2018 XLS, Key Conditions of the Securities Industry 2017-xLS, Main conditions of the Securities Industry 2017-2020. XLS. The data table structure is the same. For example, the 2013-2014 data table has 8 fields: Field 1: Public company Field 2: Total share capital of a listed company Field 3: Total market value of shares of listed companies Field 4: Securities firms and transactions Field 5: Number of accounts opened for securities transactions Field 6: Trading volume of securities Field 7: Futures trading status Field 8: Futures agency trading volume
Qinghai Provincial Bureau of Statistics
The data set recorded the actual sales area of commercial housing by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining, Haidong, Haibei prefecture, Hainan Prefecture, And Huangnan Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Actual Sales Area of commercial Housing by Use 1997-2005 XLS, Actual Sales Area of commercial Housing by Use 1997-2006 XLS, Actual Sales Area of commercial Housing by Use 1997-2007 XLS, Actual Sales Area of commercial Housing by Use 2000-2008 Actual Sales Area of Commercial Housing by Use 2000-2009. XLS, Actual Sales Area of Commercial Housing by Use in Qinghai Province (2001-2020). XLS, et al. The data table structure is the same. For example, the data table from 1997 to 2005 has 4 fields: Field 1: Year region Field 2: Housing sales area Field 3: Office building Field 4: Other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of total wages of employees employed in all units by industry in Qinghai Province from 2010 to 2020. Data in an ecological-economic, mining, manufacturing, electricity, gas and water, construction, wholesale and retail trade, transportation, warehousing and postal service, accommodation and catering industry, information transmission, software, finance, real estate, leasing and business services, scientific research and technical services, water environment and public facilities management, residents service, repair and other services, and taught Education, health and social work, culture, sports and entertainment, public administration and social security. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains eight data tables, which are: Employees employed in All Units by Industry (2011). XLS, Employees employed in All Units by Industry (2012). XLS, Employees employed in All Units by Industry (2010-2013). XLS, Employees employed in All Units by Industry (2010-2014). Number of Employed Persons in All Units by Industry 2011-2015 XLS, Number of Employed Persons in All Units by Industry 2012-2017 XLS, Number of Employed Persons in All Units by Industry in Qinghai Province (2015-2020) XLS, Employed persons in all Units by Industry 2013-2018. XLS. The data table structure is the same. For example, the data table from 2012 to 2018 has 9 fields: Field 1: Item Field 2: Item Field 3:2012 Field 4:2013 Field 5:2014 Field 6:2015 Field 7:2016 Field 8:2017 Field 9:2018
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistical data of the number of party members (members) of various parties in Qinghai Province from 1978 to 2020, which were divided by the Communist Party of China, the Revolutionary Committee of the Chinese Kuomintang (KMT), the China Democratic League, the China Democratic Construction Association, the Chinese Peasants and Workers Democratic Party, and the Jiusan Society. 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 from 2013 to 2018 has 7 fields: Field 1: Name Field 2:2013 Field 3:2014 Field 4:2015 Field 5:2016 Field 6:2017 Field 7:2018
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of economic benefit indicators of qinghai construction industry from 1978 to 2020, which are divided by calculation of gross output value, completion rate of building area, profit rate of output value, per capita completed output value, per capita construction area, per capita completed area, per capita profit, asset-liability ratio, and technical equipment ratio. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 50 data tables, which are: Main Years Main Economic Indicators of construction Enterprises 1985-2010 XLS Main economic Indicators of construction enterprises 2000-2009. XLS Main economic Indicators of construction enterprises 2005-2011. XLS Main Years Main Economic Indicators of Construction Enterprises 2009-2013 XLS Main Years Main economic Indicators of construction Enterprises 2010-2014 XLS Main years Main economic indicators of construction enterprises 2012-2015 XLS Main years Main economic indicators of construction enterprises 2015-2020 XLS Main Years Main Economic Indicators of Construction Enterprises 2014-2019. XLS Main Years Main economic indicators of construction enterprises 2013-2016 XLS Main Years Main Economic Indicators of construction Enterprises 2014-2017 XLS Main Years Main Economic Indicators of Construction Enterprises 2008-2012 XLS Main Indicators of Construction Enterprises 1978-2009. XLS Main Indicators of Construction Enterprises 1978-2010. XLS Main Indicators of Construction Enterprises 1978-2011. XLS Main Indicators of Construction Enterprises 1978-2012 XLS Main Indicators of Construction Enterprises 1978-2013. XLS Main Indicators of Construction Enterprises 1978-2014. XLS Main Indicators of Construction Enterprises 1978-2015. XLS Main Indicators of Construction Enterprises 1978-2016. XLS Main Indicators of Construction Enterprises 1978-2018. XLS Main economic indicators of construction enterprises 2001 XLS Main economic indicators of construction Enterprises 2000-2005. XLS Main economic indicators of construction Enterprises 2000-2006. XLS Main economic indicators of construction Enterprises 2000-2007. XLS Main economic indicators of construction Enterprises 2000-2008. XLS Main economic indicators of construction enterprises 2002. XLS Main economic Indicators of Construction Enterprises 2015-2018. XLS Main economic indicators of construction enterprises 2003. XLS Main economic Indicators of construction enterprises 2004 2004. XLS Economic benefit index of construction industry 2000-2009. XLS Economic performance index of construction industry 2000-2001. XLS Economic benefit index of construction industry 2000-2005. XLS Economic benefit index of construction industry 2000-2006. XLS Economic benefit index of construction industry 2000-2007. XLS Economic benefit index of construction industry 2000-2008. XLS Economic benefit index of construction industry 2001-2002. XLS Economic benefit index of construction industry 2002-2003. XLS Economic benefit index of construction industry 2004. XLS Economic benefit index of construction industry 2005-2010. XLS Economic benefit index of construction industry 2007-2011. XLS Economic benefit index of construction industry 2008-2012. XLS Economic benefit index of construction industry 2010-2013. XLS Economic benefit index of construction industry 2010-2014. XLS Economic benefit index of construction industry 2010-2015. XLS Economic benefit index of construction industry 2012-2016. XLS Economic benefit index of construction industry 2012-2017. XLS Economic benefit index of construction industry 2013-2018. XLS Economic benefit index of qinghai construction industry 1997-1998. XLS Economic benefit index of construction industry in Qinghai province 1998-1999. XLS Economic benefit index of construction industry in Qinghai province 1999-2000. XLS The data table structure is the same. For example, the 2014-2017 data table of main economic indicators of construction enterprises in major years has 6 fields: Field 1: indicator Field 2: item Field 3:2014 Field 4:2015 Field 5:2016 Field 6:2017
Qinghai Provincial Bureau of Statistics
The data set recorded the basic employment statistics of Qinghai Province from 1985 to 2019, which were divided by the total number of employed persons, the composition of employed persons, the number of employed persons by urban and rural areas, and the number of registered unemployed persons in urban areas. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: Basic information on employment in main years 1985-2006. XLS Basic information on employment in main years 1985-2010. XLS Basic information on employment in main years 1990-2005.xls Basic information on employment in main years 1998-2004. XLS Basic information on employment in main years 2000-2007.xls Basic information on employment in main years 2000-2008. XLS Basic information on employment in main years 2000-2009. XLS Basic information on employment in main years 2005-2011. XLS Basic information on employment in main years 2007-2013. XLS Basic information on employment in Main years 2008-2014. XLS Basic information on employment in main years 2009-2015. XLS Basic information on employment in main years 2010-2016. XLS Basic information on employment in main years 2011-2017. XLS Basic information on employment in major years 2012-2018. XLS Basic information on Employment in main years 2018-2019. XLS Basic information on employment in main years 2007-2012. XLS Basic information on employment 1995-2001. XLS Basic information on employment 1996-2002. XLS Basic information on employment 1997-2003. XLS The data table structure is the same. For example, the basic employment data table 1995-2001 contains eight fields: Field 1: Item 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
The data set records the per capita output of major industrial and agricultural products in Qinghai province from 1978 to 2020, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, all of which have the same structure. For example, the 1978-2001 data table has 17 fields: Field 1: Year Field 2: Grain Field 3: Oil Field 4: Fruit Field 5: Milk Field 6: Meat Field 7: beef and mutton Field 8: Wool Field 9: Aquatic products Field 10: Raw salt Field 11: Machine-made paper and board Field 12: Raw coal Field 13: Aluminium Field 14: Crude oil Field 15: Yield Field 16: Steel Field 17: Cement
Qinghai Provincial Bureau of Statistics
The data set records the GDP composition items of Qinghai Province from 1952 to 2019, and 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 33 data tables with the same structure. For example, the data table from 1990 to 2003 has 6 fields: Field 1: year Field 2: gross domestic product Field 3: remuneration of workers Field 4: depreciation of fixed assets Field 5: net production tax Field 6: operating surplus
Qinghai Provincial Bureau of Statistics
The data set records the total energy production and composition of qinghai province in 1990-2020 statistical data, the data according to the raw coal (ten thousand tons), (ten thousand tons) of crude oil, natural gas (cubic meters), liquefied natural gas (ten thousand tons), crude oil processing capacity (ten thousand tons), coke (ten thousand tons), gas (cubic meters), electricity (million kilowatt hours) and so on. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, which are: Output of Major energy products in Qinghai Province (2010-2020).XLS Output of major energy products 2010-2017. XLS Total energy production and composition, 1990-2001. XLS Total energy production and composition, 1990-2002. XLS Total energy production and composition 1990-2003. XLS Total energy production and composition, 1990-2005. XLS Total energy production and composition, 1990-2006. XLS Total energy production and composition, 1990-2007. XLS Total energy production and composition, 1990-2008. XLS Total energy production and composition, 1990-2009. XLS Total energy production and Composition, 1990-2010. XLS Total energy production and Composition, 1990-2011. XLS Total energy production and composition 2004. XLS The data table structure is the same. For example, the data table of total energy production and its composition from 2010 to 2020 has 13 fields: Field 1: Product name Field 2: Item Field 3:2010 Field 4:2011 Field 5:2012 Field 6:2013 Field 7:2014 Field 8:2015 Field 9:2016 Field 10:2017 Field 11:2018 Field 12:2019 Field 13:2020
Qinghai Provincial Bureau of Statistics
The dataset recorded statistics on the per capita disposable income of rural residents in Different regions of Qinghai Province from 2010 to 2020, 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 five data tables, which are: Per capita disposable income of rural residents by region 2010-2015 XLS, per capita disposable income of rural residents by region 2010-2016 XLS, per capita disposable income of rural residents by region 2010-2017 XLS, Per capita Disposable Income of Rural Residents by Region 2010-2018 XLS, Per capita Disposable Income of Rural Residents by Region of Qinghai Province (2010-2020) XLS The data table structure is different. For example, the data table from 2010 to 2016 has 8 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
Qinghai Provincial Bureau of Statistics
This data set records the commodity trading market of Qinghai Province from 2009 to 2020, and the data is divided by market category, business status, operation mode and operating environment. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, all of which have the same structure. For example, the 2009 table has 5 fields: Field 1: indicator Field 2: Market number Field 3: Total number of stalls Field 4: Business area Field 5: Transaction amount
Qinghai Provincial Bureau of Statistics
This data set records the GDP of Qinghai Province by expenditure method from 1990 to 2019. The data is divided by year. The GDP of each year after 1995 is calculated by expenditure method, which has statistical error with the GDP calculated by production method. 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 1990 to 2003 has 7 fields: Field 1: Year Field 2: Gross output by expenditure method Field 3: Final consumption Field 4: Total capital formation Field 5: Net exports of goods and services Field 6: Capital formation rate Field 7: Final consumption rate
Qinghai Provincial Bureau of Statistics
This data set records the year-end ownership of agricultural machinery in Qinghai province from 1957 to 2020. Data in a diesel engine power, gasoline engine power, motor power and other mechanical power, large and medium-sized tractor (Taiwan), small tractors (ten thousand), large and medium-sized tractor supporting tools (Taiwan) and small tractor supporting tools (ten thousand), agricultural irrigation and drainage (Taiwan), combine harvester (Taiwan), mobile thresher (Taiwan), the farm transporter (car), fishing with machine Moving vessels (vessels) and irrigation and drainage facilities for agricultural use. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The data set mainly contains 39 data tables, which are as follows: Annual ownership of agricultural machinery 1957-1998. XLS Annual agricultural machinery ownership 1957-1999. XLS Main years Agricultural machinery year-end ownership 1957-2000. XLS Main years Agricultural machinery year-end ownership 1957-2001. XLS Main years Agricultural machinery year-end ownership 1957-2002 XLS Annual ownership of agricultural machinery 1957-2004. XLS Main years Agricultural machinery year-end ownership 1957-2008. XLS Main years agricultural machinery year-end ownership 1957-2009. XLS Annual ownership of agricultural machinery 1957-2010. XLS Annual ownership of agricultural machinery 1957-2011. XLS Main years Agricultural machinery year-end ownership 1957-2006. XLS Main years Agricultural machinery year-end ownership 1957-2007. XLS Annual ownership of agricultural machinery 1965-2013. XLS Annual ownership of agricultural machinery 1965-2014. XLS Annual ownership of agricultural machinery 1965-2015. XLS Annual ownership of agricultural machinery 1965-2016. XLS Annual ownership of agricultural machinery 1965-2017. XLS Annual ownership of agricultural machinery 1965-2018. XLS Main years Agricultural machinery year-end ownership 1998-2005. XLS Annual ownership of agricultural machinery 1965-2012. XLS Main years and year-end ownership of agricultural machinery by region 1978-2003. XLS Year-end ownership of agricultural machinery 2000-2003. XLS Agricultural machinery year-end ownership 2000-2005. XLS Agricultural machinery year-end ownership 2000-2006. XLS Agricultural machinery year-end ownership 2000-2007. XLS Agricultural machinery year-end ownership 2004. XLS Agricultural machinery year-end ownership 2005-2009. XLS Agricultural machinery year-end ownership 2005-2010. XLS Agricultural machinery year-end ownership 2006-2011. XLS Agricultural machinery year-end ownership 2008-2012. XLS Agricultural machinery year-end ownership 2008. XLS Agricultural machinery year-end ownership 2009-2013. XLS Agricultural machinery year-end ownership 2009-2014. XLS Year-end ownership of agricultural machinery 2010-2015. XLS Year-end ownership of agricultural machinery 2011-2016. XLS Year-end ownership of agricultural machinery 2012-2017. XLS Year-end ownership of agricultural machinery 2013-2018. XLS Year-end ownership of agricultural machinery 2014-2019. XLS Year-end ownership of agricultural machinery 1965-2020. XLS The data table structure is similar. For example, the year-end ownership of agricultural machinery 2000-2003 data table has 6 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2003 is % for 2002
Qinghai Provincial Bureau of Statistics
The data set records the divisions of qinghai province from 1981 to 2020 points in the private sector of on-the-job worker total wages and index statistics, the data is according to the data by the animal husbandry fishery, the production and supply industry, and information technology services, facilities management, and other services, culture, sports and entertainment, public management, social security industry to differentiate. 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 2013 data table has 10 fields: Field 1: Item Field 2: Provincial total Field 3: Xining City Field 4: Haidong region Field 5: Haibei State Field 6: Huangnan Prefecture Field 7: Hainan Prefecture Field 8: Golo State Field 9: Yushu Prefecture Field 10: Haixi
Qinghai Provincial Bureau of Statistics
The data set records cultural institutions and personnel in Qinghai province from 1978 to 2020. The data is divided into arts, libraries, cultural relics, mass culture, art education and other cultural undertakings. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 34 data tables, all of which have the same structure. For example, the 2011 table has 8 fields: Field 1: indicator Field 2: Unit number Field 3: Year-end employees Field 4: Total assets Field 5: Operating income Field 6: Main business Field 7: Added value Field 8: Value added as a percentage of GDP
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
The data set records the contribution and drive of the three major demands to GDP growth in Qinghai province from 1990 to 2019. The data is divided by year. The three major demands refer to the three components of GDP in France, namely final consumption expenditure, total capital formation, and net exports of goods and services. Contribution rate refers to the ratio of three major demand increment and expenditure increment of gross domestic product in France. Pull refers to the product of GDP growth rate and three demand contribution rate. The 2006 figures were adjusted from the first agricultural census. Historical data are adjusted and revised according to economic census data. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, all of which have the same structure. For example, the data table from 1990 to 2012 has 7 fields: Field 1: Year Field 2: Final Consumption expenditures -- Contribution rate Field 3: Final consumption expenditures - pull Field 4: Total capital formation -- Contribution rate Field 5: Total capital formation - pull Field 6: Net exports of goods and services - Contribution rate Field 7: Net exports of goods and services - Pull
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of foreign capital utilization in Qinghai province from 2000 to 2020 by mode, country and region. The data are divided by investment mode, country (region) and other (reinvestment by foreign-invested enterprises). The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: The amount of foreign capital used is divided by mode, country and region from 2003 to 2005. XLS The amount of foreign capital used is divided by mode and country in 2000-2001. XLS The amount of foreign capital used is divided by mode and country in 2001-2002. XLS The amount of foreign capital used is divided by mode and country from 2004 to 2006. XLS The amount of foreign capital used is divided by mode and country from 2005 to 2007. XLS The amount of foreign capital used is divided by mode and country from 2005 to 2008. XLS The amount of foreign capital utilized by mode and country 2007-2010. XLS The amount of foreign capital used is divided by mode and country from 2008 to 2011. XLS The amount of foreign capital utilized by mode and country in 2011-2012. XLS The amount of foreign capital utilized is divided by mode and country in 2012-2013. XLS The amount of foreign capital utilized is divided into 2013-2014 by mode and country. XLS The amount of foreign capital utilized is divided by mode and country in 2014-2015. XLS The amount of foreign capital utilized is divided by mode and country from 2015 to 2016. XLS The amount of foreign capital utilized is divided by mode and country in 2016-2017. XLS The amount of foreign capital utilized is divided by mode and country in 2017-2018. XLS Foreign capital utilization by mode and country by 2019-2020. XLS Use of foreign capital by mode and country or region 2006-2009. XLS Utilization of foreign capital in 2004. XLS The amount of foreign capital is divided into 2002-2003 by way and country. XLS The data table structure is the same. For example, there are three fields in the data table for 2000-2001 by mode and country: Field 1: indicator Field 2: Number of contracts Field 3: Contract foreign capital amount
Qinghai Provincial Bureau of Statistics
The recorded data sets of safeguard of townsman lowest life in qinghai province from 2006 to 2020 of statistics, data security object number (door), at the end of the guarantee number of object (people), on-the-job worker, student, 3 without object, other staff, annual subsidy funds expenditure per capita subsidies level (ten thousand yuan), month (RMB), low standard (yuan), etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, which are: Basic Living Allowances for Urban Residents 2006 -- 2007 XLS, Basic Living Allowances for Urban Residents 2006 -- 2008 XLS, Basic Living Allowances for Urban Residents 2006 -- 2009 XLS, Basic living security for Urban residents 2006-2010 XLS, Basic living security for Urban residents 2015-2020 XLS, etc. The data table structure is the same. For example, there are four fields in the 2006 table: Field 1: Year Field 2: Item Field 3: region Field 4: Other
Qinghai Provincial Bureau of Statistics
The data recorded the statistical data of the per capita living consumption expenditure of urban residents in Qinghai province by region from 2010 to 2020. The data was divided by region and year. The data were collected from annual statistical inspection of Qinghai province released by Qinghai Provincial Bureau of Statistics. The dataset contains five data tables, which are: Per capita Living consumption expenditure of Urban Residents by Region 2010-2015 XLS, per capita Living Consumption expenditure of Urban Residents by Region 2010-2016 XLS, Per capita living consumption expenditure of Urban Residents by Region 2010-2017 XLS, Per capita Living Consumption Expenditure of Urban Residents by Region 2010-2018 XLS, Per Capita Living Consumption Expenditure of Urban Residents by Region of Qinghai Province (2010-2020) XLS. The data table structure is the same. For example, the 2010-2018 data table has 11 fields: Field 1: region Field 2: Region Field 3:2010 Field 4:2011 Field 5:2012 Field 6:2013 Field 7:2014 Field 8:2015 Field 9:2016 Field 10:2017 Field 11:2018
Qinghai Provincial Bureau of Statistics
The data set recorded the basic statistics of basic education in Qinghai Province in major years from 1952 to 2020, divided by year and regions such as Xining, Haidong, Haibei, Huangnan, Hainan, Goluo, Yushu and Haixi. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, which are: Basic Information of Basic Education in Qinghai Province in main Years (1957-2020). XLS, Basic Information of Basic Education in Main Years 1952-2007. XLS, Basic Information of Basic Education in Main Years 1952-2008. XLS, Basic Information of Basic Education in Main Years 1952-2009. Basic Information of Basic Education in Major Years 1952-2010 XLS, Basic Information of Basic Education in Major years 1952-2011 XLS, Basic Information of Basic Education in Major years 1952-2012 XLS, Basic Information of Basic Education in Major years 1952-2013 XLS, Basic Education Of Major Years 1952-2014 XLS, Basic Education of Major Years 1952-2015 XLS, Basic Education of Major Years 1952-2016 XLS, Basic Education of Major Years 1957-2017 XLS, Basic information of basic education in main years 1957-2020. XLS, etc., with the same data table structure. For example, the 2018 table has 5 fields: Field 1: Year Field 2: region Field 3: Graduation rate of junior high school graduates Field 4: Graduation rate of primary school graduates Field 5: Enrolment rate of primary school-age children
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the average salary of employees employed in all units by registration type in Qinghai Province from 2009 to 2020. The data are divided by major years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 11 data tables, which are: Average Wage of Employed Persons in All Units by type of registration 2010-2011. XLS, average wage of employed Persons in all Units by type of registration 2010-2012. XLS, Average wage of employed Persons in all Units by type of registration 2010-2013. XLS, Average Wage of Employed Persons in All Units by Type of registration 2010-2015. XLS, Average wage of Employed Persons in All Units by type of registration 2010-2015. XLS, Average wage of Employed Persons in all Units by type of registration 2010-2016. XLS, average wage of Employed Persons in all Units by type of registration 2010-2016. XLS, average wage of Employed Persons in all Units by type of registration 2010-2016. XLS, Average Wage of Employed Personnel in All Units by Type of Registration 2010-2017 XLS, Average Wage of Employed Personnel in All Units by Type of registration 2010-2018 XLS, Average Wage of Employed Personnel in All Units by Type of Registration (2010-2020) XLS, Average Wage of Employees by Type of Registration and Industry (2009). XLS, average wage of Employees by Type of Registration and Industry (2010). XLS. The data table structure is the same. For example, the 2010-2011 data table has 9 fields: Field 1: State-owned units Field 2: Town collective unit Field 3: Joint venture Field 4: Limited liability Company Field 5: Co., LTD Field 6: Private sector Field 7: Foreign invested units Field 8: Hong Kong, Macao and Taiwan invested units Field 9: Year
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the consumer price index of Qinghai province from 1994 to 2020. The data is divided by the total consumer price index, non-food price index, service item price index, excluding the total index of fresh vegetables and fruits, and consumer price index. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 36 data tables, which are: Consumer price index 2004. XLS Consumer price index 2001. XLS Consumer price index 2006. XLS Consumer price index 2007. XLS Consumer price index 2008. XLS Consumer Price Index 2009. XLS Consumer Price Index 2010. XLS Consumer Price Index 2011. XLS Consumer Price Index 2012. XLS Consumer Price Index 2013. XLS Consumer Price Index (2014).XLS Consumer Price Index 2015. XLS Consumer Price Index (CPI).xLS Consumer Price Index 2017.XLS Consumer Price Index (CPI) for 2018.XLS Consumer Price Index 2019. XLS Consumer Price Index 2020. XLS Consumer price sub-index 1994-2009. XLS Consumer price sub-index 1994-2010. XLS Consumer Price sub-index 1994-2011. XLS Consumer Price index by category 1994-2012. XLS Consumer Price sub-index 1994-2013. XLS Consumer Price Index 1994-2014. XLS Consumer Price Index by category 1994-2015. XLS Consumer price sub-index 2001-2005. XLS Consumer price sub-index 2001-2009. XLS Consumer price index by category 2001-2010. XLS Consumer price sub-index 2001-2006. XLS Consumer price sub-index 2001-2007. XLS Consumer price sub-index 2001-2008. XLS Consumer Price index by category 2001-2011. XLS Consumer price index 2002-2003. XLS Consumer price index 2002. XLS Consumer price index 2004. XLS Consumer price index 2006. XLS Consumer price index 2003. XLS The data table structure is the same. For example, the consumer Price index 2020 data table has four fields: Field 1: Item Field 2: City Field 3: Rural Field 4: Province
Qinghai Provincial Bureau of Statistics
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