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
The dataset includes climate suitability zonation, climate and soil suitability zonation and climate and soil terrain suitability zonation dataset of 8 forages. The dataset can provide important data support for artificial grassland construction. Based on the climate index model and maximum entropy model, the climate suitability index of each pasture was constructed by using the temperature, precipitation data of the last 40 years and elevation data, and considering the soil type, soil organic matter content and topographic factors, the planting zonation of eight pasture species was established in Qinghai. Eight forages are important forage resources in alpine areas. The accuracy of climate suitability index was ensured by field investigation, and the practicability of dataset of pasture planting zonation was ensured by comprehensive consideration of climate factors and soil topographic factors. Artificial grassland planting is not only the main means of ecological restoration of degraded grassland, but also an important part of grassland production structure adjustment. Reasonable and scientific grass planting is the foundation. The dataset of forage planting zonation has an important application prospect in the implementation of major ecological projects and the scientific management of grassland.
ZHOU Huakun , SU Wenjiang , ZHOU Bingrong , SHI Mingming , ZHAO Huifang
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 statistical table of groundwater level dynamic changes in various monitoring areas of Qinghai Province from 2015 to 2018. The data are recorded from the Department of natural resources of Qinghai Province, and the data set contains four data tables, which are: the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2015, the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2016, the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2017, and the statistical table of groundwater level dynamic change in each monitoring area of Qinghai Province in 2018 The data table has the same structure and contains 7 fields Field 1: "geographic location" Field 2: "basic balance area (km2)" Field 3: "percentage of monitoring area (%)" Field 4: "weak descent area (km2)" Field 5: "percentage (%) of monitored area" Field 6: "strong uplift area (km2)" Field 7: "percentage (%) of monitored area"
Department of Natural Resources of 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
This data set includes meteorological data observed by the carbon flux station in the Guoluo Army Ranch in Qinghai. The temporal coverage is from 2005 to 2009, and the temporal resolution is 1 day. Meteorological and carbon flux data observation methods: vorticity-related observation instruments were used for automatic recording; biomass observation method: harvest method, weighing in a 60-degree oven for 48 hours. Both carbon flux and meteorological data were automatically recorded by the instruments and manually checked. During the data observation process, the operation of the instrument and the selection of the observation objects were in strict accordance with professional requirements, and the data could be applied to plant leaf photosynthetic parameter simulation and productivity estimation. This data contains observation items as follows: Temperature °C Precipitation mm Wind speed m/s Soil temperature at 5 cm depth °C Photosynthetically active radiation µmol/m²s Total radiation W/m²
ZHAO Xinquan
The data set records the water quality evaluation results of the monitoring sections of the Yangtze River, Yellow River and Huangshui (2010-2012). The data is collected from Yushu ecological environment bureau. The data set contains 18 files, which are: water quality assessment of national control section of Yangtze River in April 2010, water quality assessment of national control section of Yangtze River in May 2010, water quality assessment of national control section of Yangtze River in September 2010, water quality assessment of national control section of Yangtze River in October 2010, etc. the data table structure is the same. There are seven fields in each data table Field 1: monitoring section Field 2: classification of water environment functional areas Field 3: water quality category Field 4: main pollution indicators Field 5: water quality status Field 6: water quality last month Field 7: water quality in the same period of last year
Ecological Environment Bureau of Yushu Prefecture
The Qaidam Basin is a key area for understanding the paleoenvironmental and faunal history of the Tibetan Plateau. The fossil schizothoracine fish, Hsianwenia wui, evolved extraordinarily thickened bones to adapt to the aridification of the Qaidam Basin during the Pliocene. However, the nature of the bone thickening itself remains elusive. To promote the further investigation of the physiological mechanism of the pachyostosis and the phylogenetic interrelationships of Hsianwenia and all relevant cyprinids, here we present a comprehensive morphological study of Hsianwenia. We have new information on the anterior part of the cranial cavity, a large supraneural 3 in the Weberian apparatus, numerous procurrent caudal fin rays supported by the preural centrum (Pu) 5, and a neural arch on Pu2. We also find the differentiated pattern of the bone-thickening: the pachyostosis exists in the endoskeleton but not in the dermal skeleton; it is more obvious in ventral bones than in dorsal ones, when the thickening is present in the dorsally and ventrally grouped endoskeletal bones (e.g., the epineural and epipleural intermuscular bones). Considering the integrity of musculoskeletal system manipulating the chewing activities, we suspect that the thickened pharyngeal jaws and the hard food processing might be associated with the unique hind protrusion (cleithral “humeral” process) of the dermal pectoral girdle of Hsianwenia.
WU Feixiang
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 dataset records the average temperature in major areas of Qinghai Province from 1998 to 2020, and the data are divided by monthly and annual average indicators. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables with the same structure. For example, the data table for 2020 has 11 fields: Field 1: month Field 2: region Field 3: Xining Field 4: Haidong Field 5: Haibei Field 6: South Yellow Field 7: Hainan Field 8: Golo Field 9: Yushu Field 10: Hersey Field 11: Golmud City
Qinghai Provincial Bureau of Statistics
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
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