Provide detailed spatial distribution of population data in China from 1990 to 2015 year by year. The data is 1km grid data, with population pop as the indicator. The grid data comprehensively considers multiple factors for weight distribution to realize the spatialization of population, which is convenient for data sharing and spatial statistical analysis. The data comes from the Resource and Environmental Science and Data Center of the Institute of Geographic Science and Resources, Chinese Academy of Sciences. The annual data is obtained by linear interpolation of the original data, and saved in geotiff file format. The methods and standards of data over the years are consistent, the coverage is complete, and the collection and processing process is traceable and reliable.
WANG Can , WANG Jiachen
The population, grain, grain sown area and year-end data sets are extracted from the provincial and prefecture level statistical yearbooks of Qinghai, Tibet, Xinjiang, Gansu, Sichuan and Yunnan for many consecutive years. The missing data are interpolated as follows: 1. To ensure the accuracy of county data, Some counties and cities have been merged in this data (there may be errors in dividing and imputing the data for 20 years according to the proportion, but there will certainly be no problem in the merger, and the county area is small, so it is merged). 2. Xiahe County and cooperative city are merged into Xiahe County (cooperative city was separated from Xiahe County in 1998). 3. Gucheng district and Yulong County are merged into Gucheng district (Lijiang County was divided into Gucheng district and Yulong County in 2003). 4. The inner city district, East City District, West City District The four districts in Chengbei district have been merged into the district directly under the central government of Xining City (because the population of the four districts is given separately or the sum is given, and the total area of the four districts is only 487 square kilometers, they are merged). 5. For some missing data, curve fitting has been carried out in combination with similar years, and R2 is between 0.85-0.99. 6. In order to ensure the accuracy of the data, change maps have been prepared County by county
ZHANG Lu
The data is 1:250000 socio-economic data of Sichuan Tibet line and surrounding areas, including GDP, population and other data. Population and GDP are one of the important indicators of social and economic development, regional planning and resource and environmental protection. Administrative regions are usually taken as the basic statistical unit. The spatialization of population and GDP replaces the traditional administrative statistics unit with spatial statistics unit, which brings great convenience for data sharing and spatial statistical analysis among multiple fields. The data comes from the kilometer grid data set of China's population and GDP spatial distribution of resource and environmental science and data center. The data set of China's population and GDP spatial distribution kilometer grid of resource and environmental science and data center is cut according to the scope of Sichuan Tibet railway and surrounding areas. The data is in grid format and accurate to every square kilometer. It is applicable to the Sichuan Tibet line and surrounding areas. Population and GDP are one of the important indicators of social and economic development, regional planning and resource and environmental protection.
WANG Zhonggen
The resilience of the growth in the number of children along the Belt and Road reflects the level of resilience of the growth in the number of children in the countries along the Belt and Road, with higher values indicating stronger resilience in the growth of the number of children along the Belt and Road. The data on the resilience of the growth in the number of children and adolescents is prepared by referring to the World Bank's statistical database, using the yearly data on the proportion of children (0-14 years old) in the countries along the Belt and Road from 2000 to 2019, taking into account the yearly changes in each indicator, based on sensitivity and adaptability analysis, and through a comprehensive The product is based on a sensitivity and adaptation analysis, and is based on a comprehensive diagnosis of the resilience of the growth in the number of children. The resilience dataset is an important reference for analysing and comparing the resilience of the growth in the number of children in the countries along the "Belt and Road".
XU Xinliang
The resilience of population growth in countries along the Belt and Road reflects the level of resilience of population growth in the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of population growth in the countries along the Belt and Road. The World Bank's statistical database was used to prepare the Resilience to Population Growth data product, which uses year-on-year data on the population of countries along the Belt and Road from 2000 to 2019. The Resilience to Population Growth product is based on sensitivity and adaptation analysis. Please refer to the documentation for the methodology of preparing the dataset. "The resilience dataset is an important reference for analysing and comparing the current resilience of population growth in countries along the Belt and Road.
XU Xinliang
The resilience of the population age structure of countries along the Belt and Road reflects the level of resilience of the population age structure of the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of the population age structure of the countries along the Belt and Road. The World Bank's statistical database was used to prepare the data on the resilience of population age structure, and the data on the proportion of children, the proportion of working-age population and the proportion of elderly population in the countries along the Belt and Road from 2000 to 2019 were used year by year. Based on the sensitivity and adaptability analysis, a comprehensive diagnosis was carried out to produce a resilience product for the age structure of the population. Please refer to the documentation for the methodology of preparing the data set. "The data set is an important reference for analysing and comparing the resilience of population age structures in countries along the Belt and Road.
XU Xinliang
The resilience of population urbanisation development in countries along the Belt and Road reflects the level of resilience of population urbanisation development in the countries along the Belt and Road, with higher values indicating stronger resilience of population urbanisation development in the countries along the Belt and Road. The data on the resilience of population urbanisation development are prepared with reference to the World Bank's statistical database, using year-on-year data on two indicators, namely the number of urban population and the number of population in urban agglomerations with a population of over one million, from 2000 to 2019, and based on sensitivity and adaptability analysis, taking into account the year-on-year changes of each indicator. Based on the sensitivity and adaptability analysis, the product of the resilience of population urbanisation development was prepared through comprehensive diagnosis. "The data set on the resilience of population urbanisation development in the countries along the Belt and Road is an important reference for analysing and comparing the resilience of population urbanisation development in various countries.
XU Xinliang
The data set contains the blood routine and blood biochemical indexes collected from native Tibetans in Lhasa and Nyingchi in Tibet Autonomous Region for four follow-up visits. The project carried out four follow-up surveys in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. Blood is an important circulating element of human body, which stores the information of human health. Biological samples of subjects were collected at each visit. The professional nurses of Lhasa Second People's Hospital and Nyingchi Jianmin hospital collected 18 ~ 20ml blood samples, and some samples were sent to the hospital for blood routine and blood biochemical analysis. The data can be used to evaluate the health level of permanent residents in Tibet and further analyze the impact of ozone exposure and hypoxia on the health of permanent residents.
GONG Jicheng
The data set contains the systemic inflammatory oxidative stress indexes collected from native Tibetans in Lhasa and Nyingchi in Tibet Autonomous Region for four follow-up visits. The project carried out four follow-up surveys in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. Biological samples of subjects were collected at each visit. The professional nurses of Lhasa Second People's Hospital and Nyingchi Jianmin hospital collected 18 ~ 20ml blood samples, and some samples were sent to the hospital for analysis. The related indexes of leukocytes such as lymphocytes, basophils, neutrophils, eosinophils and monocytes can reflect the level of systemic oxidative stress inflammation. The data can be used to evaluate the level of systemic inflammatory oxidative stress of native Tibetans in Tibet, and further analyze the effects of ozone exposure and hypoxia on systemic inflammatory oxidative stress of permanent residents.
GONG Jicheng
The data set contains respiratory inflammatory indexes collected from four follow-up visits of native Tibetans in Lhasa and Nyingchi, Tibet Autonomous Region. The project carried out four follow-up surveys in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. Fractional exhaled nitric oxide (FeNO) is produced by airway cells. Its concentration is highly correlated with the number of inflammatory cells. It is a simple and noninvasive biological index, which can effectively reflect the degree of airway inflammation,. At each visit, about 5 liters of exhaled gas were collected with Teflon air bag, and then the content of nitric oxide (FeNO) in exhaled gas was measured with thermo NOx gas analyzer to characterize the inflammatory level of respiratory system. The data can be used to evaluate the level of respiratory inflammation of native Tibetans in Tibet, and further analyze the effects of ozone exposure and hypoxia on respiratory inflammation of natives.
GONG Jicheng
The data set included lung function and cardiovascular function indexes collected during four follow-up visits to the high altitude natives in Lhasa and Nyingchi, Tibet Autonomous Region. Four follow-up surveys were conducted in Lhasa and Nyingchi from May to June and September to October 2021, and a total of 212 subjects were recruited. During each visit, the forced vital capacity (FVC), forced expiratory volume in one second (FEV1), vital capacity (VC) and other pulmonary function indexes of the subjects were measured by Mir pulmonary function instrument. The heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), augmentation index (AIx), carotid femoral pulse wave velocity (cf-PWV) and other cardiovascular function indexes were measured by German vicorder cardiovascular detector. The data can be used to evaluate the cardiopulmonary system function of natives in Tibet, and further analyze the effects of ozone exposure and hypoxia on the cardiopulmonary system function of high altitude natives.
GONG Jicheng
This data uses a landslide hazard risk assessment model consisting of four modules: landslide hazard causative factors, landslide susceptibility model, exposed population and population casualty rate. The module of hazard-causing factors includes DEM, slope, rainfall, temperature, snow cover, GDP, and vegetation cover factors. The landslide hazard susceptibility model is a statistical analysis using a logistic regression model to obtain landslide susceptibility probability values. The population exposure module uses the landslide susceptibility values overlaid with population data. The population casualty rate module is based on the ratio of historical landslide casualties to the population exposed to landslides during the same period. Finally, by substituting the 2020 population data, the exposed population under different levels of landslide hazard susceptibility is calculated and multiplied with the historical period landslide hazard population casualty rate to assessIntegrated multi-hazard population risk in the peri-Himalayan and Asian water tower regions
WANG Ying
Human adaptation to high altitude environment (> 2500m) is an important milestone in the process of human evolution and diffusion. As the highest altitude and largest plateau in the world, the Qinghai Tibet Plateau is an ideal area for human adaptation to extreme hypoxia environment. An early site with continuous strata, the site of jijunbu, was newly discovered on the Bank of Zhuanglang River in Yongdeng County, Gansu Province, northeast of Qinghai Tibet Plateau. A series of samples were taken from the site in 2015 and 2018. The results of photoluminescence dating show that the age of the site is 120-90 Ka, which is the earliest wilderness site on the Qinghai Tibet Plateau, providing new clues for the study of early human activity history and survival adaptation on the Qinghai Tibet Plateau.
ZHANG Dongju
The data set of economic, population, and urbanization growth and change in Qilian mountain area includes the social and economic development indicators of 1949-2020 long-term time series of 5 prefecture-level cities and 14 districts and counties in the Qilian mountain basin, such as the added value of the tertiary industry, population scale, etc. They are the subsets of economic, population, and urbanization growth changes of prefecture-level cities in Qilian mountain and the subsets of county-level economic, population, and urbanization growth changes in Qilian mountain. The data comes from Gansu statistical yearbook, Wuwei statistical bulletin of national economic and social development, Zhangye statistical bulletin of national economic and social development, Jiuquan statistical bulletin of national economic and social development, Jinchang statistical bulletin of national economic and social development, Jiayuguan statistical bulletin of national economic and social development, and social development of Ejina Banner. Since the data source is the publicly released provincial and Municipal Statistical Yearbook, the data has not been cross verified, and the consistency and accuracy of the data need to be verified in the process of data analysis and application. The data set is a macro data set reflecting the growth and change of economy, population, and urbanization in Qilian mountain. It has complete coverage and long-time series. It can provide basic information for the social and economic development and change of Qilian mountain.
WU Feng
Population age structure resilience reflects the level of population age structure resilience in the countries along the Belt and Road. The World Bank's statistical database was used to prepare the data on the resilience of the population age structure of the countries along the Belt and Road. Based on the sensitivity and adaptability analysis, a comprehensive diagnosis was made based on the year-on-year change of each indicator, and the product on the resilience of population age structure was prepared.
XU Xinliang
Population growth resilience reflects the level of resilience of population growth in the countries along the belt and road, and the higher the value, the stronger the resilience of population growth in the countries along the belt and road. The data on the resilience of population growth is prepared by referring to the World Bank's statistical database, using the year-on-year changes in the population of countries along the Belt and Road from 2000 to 2019, taking into account the year-on-year changes in each indicator, and through comprehensive diagnosis based on sensitivity and adaptability analysis. The resilience of population growth product.
XU Xinliang
Quantitative evaluation and comprehensive measurement of resource and environment carrying capacity is the key technical link of resource and environment carrying capacity research from classification to synthesis. Based on the evaluation of the suitability of human settlements, the limitation of resource carrying capacity and socio-economic adaptability, and according to the research idea and technical route of "suitability zoning restrictive classification adaptability classification warning classification", a three-dimensional tetrahedral model for the comprehensive evaluation of resource and environmental carrying capacity with balanced significance is constructed. Based on the 10km grid, a comprehensive study on the resource and environment carrying capacity was carried out, and the resource and environment carrying capacity index of the areas along the silk road was quantitatively simulated. Taking 1 as the equilibrium significance, it provided support for the comprehensive evaluation of the resource and environment carrying capacity of the areas along the silk road.
YOU Zhen
To investigate the paternal genetic structure of Tibetans, 447 male samples were collected from Ngari (n=211), Chamdo (n=119), and Nyingchi (n=117). Firstly, SNP genotyping was performed to allocate samples into haplogroups. To further evaluate the genetic diversity of the major Y-chromosomal haplogroup in Tibetan populations from Lhasa, eight commonly used Y-chromosomal STR (short tandem repeat) loci (DYS19, DYS388, DYS389I, DYS389II, DYS390, DYS391, DYS392, and DYS393) were genotyped using fluorescence-labeled primers with an ABI 3130XL Genetic Analyzer (Applied Biosystems, USA). The results indicated that haplogroup D displayed highest frequency in these three Tibetan populations (Ngari 54.50%, Nyingchi 64.10%, Chamdo 67.23%). Among haplogroup D, D-P47 showed the highest frequency (Ngari 29.39%, Nyingchi 51.28%, Chamdo 55.46%). Differently, D-N1 showed the highest frequency in Ngari (21.33%), followed by Nyingchi (11.97%) and Chamdo (10.92%). Haplogroup O-M117 is the second frequent haplogroup in these three populations, with the highest frequency in Ngari (29.86%), followed by Nyingchi (26.50%) and Chamdo (15.97%). Compared with the other two populations, Ngari Tibetans have higher frequencies of western Eurasian haplogroups, including R-M17 (1.42%), R-M343 (1.42%), and J, probably reflecting more genetic contribution from the west into Ngari. In combination with the data from Lhasa that deposited in 2019 and 2020, our Y chromosome data of Tibetans from different locations on the Tibetan Plateau will be very helpful to understanding the paternal genetic structure of Tibetans. Moreover, the genetic history of Tibetans can also be dissected by phylogeographic and coalescent analyses.
KONG Qingpeng
The Hindu Kush mountains are tall mountains in Central Asia. The average altitude is about 5000 meters, and the highest peak, tiriqmir peak, is 7690 meters above sea level. It is the watershed between the Indus River in the southwest of the Qinghai Tibet Plateau and the Amu Darya River in the Pamir Plateau. Studying the genetic structure of the population in this area will help to deeply understand the diffusion history of the population and the genetic basis of adapting to the plateau environment. Studying the genetic structure of the population in this area will help to deeply understand the diffusion history of the population and the genetic basis of adapting to the plateau environment. In this study, we studied the maternal genetic structure of 213 individuals from 5 populations distributed in Xingdu Kush mountains. The mitochondrial genome sequences of 213 individuals (average depth > 1000x) were obtained by mitochondrial genome capture library construction and second-generation sequencing (Illumina hiseq x ten platform). Based on the idea of phylogeny, we control the quality of these data to ensure that there are no quality problems such as sample pollution. The modified Cambridge standard sequence was used as a reference for the output of mutation sites. According to the mitochondrial DNA phylogenetic tree (phylotree. ORG) of people around the world, each sample was divided into haplotype groups. Based on the mtDNA data of modern population and ancient samples published in the past, the origin and diffusion history of population in this area were systematically studied. The results show that the main maternal genetic components of Indo European populations in this region come from western Eurasia. Haplotypes w3a1a and j1b1a1 may be related to the migration of Indo European language groups, indicating that the diffusion of Indo European language groups to South Asia may not only be a simple cultural expansion, but also accompanied by the migration of some people. In addition, the study also shows that northern Pakistan may play an important channel role in the diffusion of Indo European languages to South Asia.
KONG Qingpeng
The data is the population and urbanization data of the Qinghai Tibet Plateau. The data are mainly from census data, including 1990, 2000 and 2010. The main data fields include resident population, urban population and urbanization rate of resident population. Under the GIS platform, the spatial database is constructed through the connection of administrative division vector data and population data. Among them, the data quality related to population is accurate to people. The data mainly serve the research on population geography, urbanization and urban development of the Qinghai Tibet Plateau. It is worth noting that the data of resident population and urbanization rate in census years are relatively accurate. With the opening of the data of the seventh census, it will be updated one after another.
QI Wei
The temperature humidity index (THI) was proposed by J.E. Oliver in 1973. Its physical meaning is the temperature after humidity correction. It considers the comprehensive impact of temperature and relative humidity on human comfort. It is an important index to measure regional climate comfort. On the basis of referring to the existing classification standards of physiological and climatic evaluation indexes, combined with the natural and geographical characteristics of the Qinghai Tibet Plateau and facing the needs of human settlements suitability evaluation in the Qinghai Tibet Plateau, the temperature and humidity index and its suitability zoning results of the Qinghai Tibet Plateau (more than 3000 meters) are developed (including unsuitable, critical suitable, general suitable, relatively suitable and highly suitable).
LI Peng, LIN Yumei
This data set records the statistical data of agricultural and animal husbandry scientific and technological talent resources in Qinghai Province, covering the period from 2011 to 2016. The data are divided by animal husbandry and veterinary, planting, fishery, agricultural machinery, land reclamation and other projects. The data set contains six data tables, which are: Statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2011), statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2012), statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2013), statistics of scientific and technological human resources in agriculture and animal husbandry (applicable to extension institutions) (2014), Statistics of agricultural and animal husbandry scientific and technological human resources (applicable to extension institutions) (2015), statistics of agricultural and animal husbandry scientific and technological human resources (applicable to extension institutions) (2016). The data table structure is similar. For example, the statistical table of agricultural and animal husbandry scientific and technological talent resources (applicable to extension institutions) (2011) has five fields: Field 1: number of employees at the end of the year Field 2: number of scientific and technological talents Field 3: Qualification Field 4: Education Field 5: Gender
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation of rural areas in Qinghai Province, including rural households, rural population and other information. The statistical data covers the period from 2014 to 2018. The data are divided into 8 states, cities and 43 counties and districts according to Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data set contains five data tables, which are: basic rural situation (2014), basic rural situation (2015), basic rural situation (2016), basic rural situation (2017) and basic rural situation (2018). The structures of each data table are similar. For example, the basic rural situation (2014) data sheet has two fields: Field 1: number of rural households Field 2: rural population
AGRICULTURAL AND RURAL Department of Qinghai Province
The Tibetan Plateau has a harsh conditions for human to inhabit. When human beings went into the Tibetan Plateau and how they adapt to the extreme environment have attract broad attention. At present, extensive studies on this issue have been conducted in the northeastern Tibetan Plateau with few work in other regions. There are a lot of archaeological sites in the Yarlung Zangbo River Basin while most of them are lack of cultural layers. Systematic archaeological investigations had been done to 25 cultural layers and 3 tombs in Lhasa and Nyignchi
YANG Xiaoyan, WANG Yanren
Topographic relief is a comprehensive representation of regional altitude and surface cutting degree. Based on the definition and calculation formula of topographic relief under the background of China's human settlements assessment, the digital elevation model (Aster GDEM 30 m) data is resampled into 1 km, The data set includes: (1) kilometer grid spatial data of Tibetan Plateau topographic relief（ 2) Terrain suitability evaluation data of Qinghai Tibet Plateau. The data can be used to analyze the spatial difference of topographic relief of the Qinghai Tibet Plateau, which is of great significance to the study of human settlements and Natural Suitability of the Qinghai Tibet Plateau.
XIAO Chiwei, LI Peng,
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
This data set records the mechanical changes of population in Qinghai Province from 1952 to 2018. The data is divided by year. The data is the annual report data of the provincial public security department. The immigration and emigration population after 1985 are inter provincial immigration and emigration. The data in 1952 is based on the China population · Qinghai volume published by China finance and Economics Press Based on relevant data. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 25 data tables: Changes of population and machinery in Qinghai Province in Main Years (1990-2019) xls Changes in population and machinery in major years 1952-2004 xls Changes in population and machinery in major years 1952-2008 xls Changes in population and machinery in major years 1952-2009 xls Changes in population and machinery in major years 1952-2010 xls Changes in population and machinery in major years 1952-2011 xls Changes in population and machinery in major years 1952-2012 xls Changes in population and machinery in major years 1952-2013 xls Changes in population and machinery in major years 1952-2014 xls Changes in population and machinery in major years 1952-2015 xls Changes in population and machinery in major years 1952-2016 xls Changes in population and machinery in major years 1952-2006 xls Changes in population and machinery in major years 1952-2007 xls Mechanical changes in population in Main Years 1987-2005 xls Changes in population and machinery in major years 1990-2017 xls Changes in population and machinery in major years 1990-2018 xls Main population changes 1952-2001 xls Main population changes 1952-2002 xls Population changes 1952-2003 xls Changes in population machinery, 1952-2002 xls Changes in population and machinery, 1952-2003 xls Changes of population and machinery in the whole province from 1952 to 1998 xls Changes of population and machinery in the whole province from 1952 to 1999 xls Changes of population and machinery in the whole province from 1952 to 2000 xls Changes of population and machinery in the whole province from 1952 to 2001 The XLS data table has the same structure. For example, there are five fields in the 1952-1998 data table of population and machinery changes in the province: Field 1: year Field 2: number of people Field 3: migration rate Field 4: number of people Field 5: emigration rate
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 changes of employees in all units of Qinghai Province, and the data is divided according to the changes of employees in all units. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables Changes in employees of all units 1998.xls, Changes in employees of all units, 1999.xls, Changes of employees in all units in 2000.xls. The data table structure is the same. For example, there are five fields in the 1998 data sheet on the change of employees in all units Field 1: Category Field 2: Total Field 3: recruitment from rural areas Field 4: recruit from town Field 5: Veterans employed
Qinghai Provincial Bureau of Statistics
This data set records the situation of laid-off workers in Qinghai Province, and the data is divided according to the diversion situation of laid-off workers in state-owned enterprises. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables The situation of laid off workers in enterprises, 1998.xls The situation of laid off workers in enterprises, 1999.xls The situation of laid off workers in enterprises, 2000.xls The distribution of laid-off workers in state-owned enterprises in 1997. The data table structure is the same. For example, there are four fields in the data table of the distribution of laid-off workers in state-owned enterprises Field 1: Category Field 2: Industrial Enterprise Field 3: large and medium sized industrial enterprises Field 4: enterprises directly under the central government
Qinghai Provincial Bureau of Statistics
The data set records the number of employees of other units in Qinghai Province by industry and region at the end of the year, and the data is divided by the number of employees of other units by industry and region at the end of the year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 8 data tables Number of employees in other units by industry at the end of the year 1995-2001.xls Number of employees in other units by industry at the end of the year 1995-2002.xls Number of employees of other units by industry at the end of 2003.xls Number of employees of other units by industry at the end of 2004.xls Number of employees of other units by industry at the end of 2005.xls Number of employees in other units by industry and region at the end of 2006.xls Number of employees in other units by industry and region at the end of 2007.xls The number of employees of other units by industry and region at the end of 2008.xls. The data table structure is similar. For example, there are 10 fields in the 2005 data table of the number of employees of other units by industry and region at the end of the year Field 1: Project Field 2: province total Field 3: Xining City Field 4: Haidong region Field 5: Haibei Prefecture Field 6: huangnanzhou Field 7: Hainan Field 8: Golog Field 9: Yushu prefecture Field 10: Haixi
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of farmers and herdsmen families in Qinghai Province, and the data are divided according to the basic situation of farmers and herdsmen families. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains a data table, which is the basic information of farmers and herdsmen families in the main years 1985-2007.xls. The basic information of farmers and herdsmen families in the main years from 1985 to 2007 has seven fields Field 1: number of households surveyed Field 2: resident population of survey households Field 3: average annual income per person Field 4: average annual expenditure per person Field 5: total expenditure Field 6: cash expenditure Field 7: average annual net income per person
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the basic situation of rural households in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables Basic information of rural households, 1984-1998.xls, Basic information of rural households, 1984-1999.xls, Basic information of rural households 1985-2000.xls. The data table structure is similar. For example, there are four fields in the basic information of rural households from 1984 to 1998 Field 1: number of households investigated Field 2: household permanent population (person) Field 3: average population per household (person) Field 4: full and half labor force (person)
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the total income, total expenditure and net income per capita of the rural poverty monitoring households in Qinghai Province. The data are divided by the total income, total expenditure and net income per capita of the rural poverty monitoring households. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of two data tables Total income, total expenditure and net income per capita of rural poverty monitoring households, 1997-1999.xls, Total income per capita, total expenditure and net income of rural poverty monitoring households, 1999-2000.xls. The data table structure is similar. For example, there are eight fields in the data table of per capita total income, total expenditure and net income of Rural Poverty Monitoring Survey households from 1997 to 1999 Field 1: number of villages investigated Field 2: number of households investigated Field 3: number of respondents (person) Field 4: full and half labor force (person) Field 5: total annual revenue Field 6: annual total expenditure Field 7: depreciation of productive fixed assets Field 8: annual net income
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of per capita income and expenditure of Rural Poverty Monitoring and survey households in Qinghai Province. The data is divided according to the per capita income and expenditure of Rural Poverty Monitoring and survey households in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set mainly includes 10 data tables Per capita income and expenditure of rural poverty monitoring households, 2001-2005.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2006.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2007.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2008.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2009.xls Per capita income and expenditure of rural poverty monitoring households, 2001-2010.xls Per capita income and expenditure of rural poverty monitoring households, 2004.xls The survey of rural per capita income and expenditure in 2006-xls Per capita income and expenditure of rural poverty monitoring households, 2008-2012.xls Per capita income and expenditure of rural poverty monitoring households, 2010-2013.xls The data table structure is similar. For example, there are eight fields in the data table of per capita income and expenditure of Rural Poverty Monitoring Survey households from 2001 to 2006 Field 1: number of villages investigated Field 2: number of households investigated Field 3: number of respondents (person) Field 4: full and half labor force (person) Field 5: total annual revenue Field 6: annual total expenditure Field 7: depreciation of productive fixed assets Field 8: annual net income
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the per capita income and expenditure of the rural poverty monitoring survey households in Qinghai Province (sampling survey). The data is divided according to the per capita income and expenditure of the rural poverty monitoring survey households in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables Per capita income and expenditure of rural poverty monitoring households (sampling survey) 1999-2001.xls A survey of per capita income and expenditure of rural households in 2002 Rural Poverty Monitoring Survey household income and expenditure per capita (sampling survey) 2000-2003.xls The data table structure is similar. For example, there are four fields in the data table of per capita income and expenditure of Rural Poverty Monitoring Survey households (sampling survey) from 1999 to 2001 Field 1: total annual revenue Field 2: annual total expenditure Field 3: depreciation of productive fixed assets Field 4: annual net income
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of rural households in Qinghai Province from 1985 to 2013, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 12 data tables Basic situation of rural households in Main Years 1985-2004.xls Basic information of rural households in Main Years 1985-2006.xls Basic situation of rural households in Main Years 1985-2008.xls Basic information of rural households in Main Years 1985-2009.xls Basic situation of rural households in Main Years 1990-2010.xls Basic information of rural households in Main Years 1990-2005.xls Basic situation of rural households in Main Years 1995-2011.xls Basic situation of rural households in Main Years 2000-2013.xls Basic situation of rural households in Main Years 2000-2012.xls Basic information of rural households 1985-2001.xls Basic information of rural households, 1985-2002.xls Basic information of rural households 1985-2003.xls The data table structure is the same. For example, there are 10 fields in the 1985-2001 data table about the basic situation of rural households Field 1: Project Field 2: 1985 Field 3: 1990 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8:1999 Field 9:2000 Field 10:2001
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the proportion of rural households grouped by net income in the survey households in Qinghai Province from 1985 to 2011, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 12 data tables The proportion of rural households grouped by net income in the survey households in the main years 1985-2004.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2006.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2008.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2009.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2010.xls The proportion of rural households grouped by net income in the survey households in the main years 1990-2005.xls The proportion of rural households grouped by net income in the survey households in Main Years 1995-2011.xls The proportion of rural households grouped by net income in the survey households in Main Years 1995-2011.xls Proportion of households grouped by net income of farmers and herdsmen in survey households in Main Years 1985-2007.xls The proportion of rural households grouped by net income in the survey households, 1985-2001.xls The proportion of rural households grouped by net income in the survey households, 1985-2002.xls The proportion of rural households grouped by net income in the survey households 1985-2003.xls The data table structure is the same. For example, the proportion of rural households grouped by net income in the survey households has 10 fields in the data table from 1985 to 2001 Field 1: Project Field 2: 1985 Field 3: 1990 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8:1999 Field 9:2000 Field 10:2001
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of rural family employees in Qinghai Province from 1952 to 2000, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of two data tables The number of rural family employees by industry 1952-1999.xls The number of rural family employees by industry 1952-2000.xls The data table structure is the same. For example, there are eight fields in the 2003 data sheet about the professional and technical personnel in different industries Field 1: Category Field 2: 1952 Field 3: 1978 Field 4: 1990 Field 5: 1995 Field 6: 1998 Field 7: 1999 Field 8: year 2000
Qinghai Provincial Bureau of Statistics
The data set recorded the basic situation of rural areas and the statistical data of rural employees in Qinghai Province from 2000 to 2020. The data were divided by rural grassroots organizations, household number and population, rural employees and national economic industries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Basic Statistics of Rural areas and Rural Employees 2000-2005. XLS Basic Statistics of Rural areas and Rural Employees 2000-2006. XLS Basic Statistics of Rural areas and Rural Employees 2000-2007. XLS Rural basic information and rural employees 2002-2003. XLS Rural Basic Information and Rural Employees 2004. XLS Basic statistics of rural areas and Rural Employees 2005-2009. XLS Basic Statistics on Rural areas and Rural Employees 2005-2010. XLS Basic Statistics of Rural areas and Rural Employees 2005-2011. XLS Basic Statistics of Rural areas and Rural Employees 2007-2012 XLS Basic Statistics of Rural areas and Rural Employees 2008-2013 XLS Rural basic Information and Rural Employees 2008. XLS Basic Statistics on Rural areas and Rural Employees 2010-2014 XLS Basic Statistics on Rural areas and Rural Employees 2010-2015 XLS Basic Statistics on Rural areas and Rural Employees 2011-2016 XLS Basic Statistics on Rural areas and Rural Employees 2012-2017. XLS Basic Statistics on Rural areas and Rural Employees 2013-2018 XLS Basic Statistics on Rural areas and Rural Employees 2014-2019. XLS Basic Statistics on Rural areas and Rural Employees 2015-2020 XLS The data table structure is the same. For example, the 2002-2003 data table of rural basic information and Rural Employment has 6 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2003 is % of 2002
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of retirees, retirees and retirees in Qinghai Province from 1998 to 2006, which are divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 10 tables The number of retired, retired and retired personnel and the composition of insurance and welfare expenses, 2000.xls Composition of insurance and welfare expenses for retired, retired and retired personnel, 1999.xls Number of retirees, retirees and retirees, 2001.xls Number of retirees, retirees and retirees 2002.xls Number of retirees, retirees and retirees, 1998.xls Number of retirees, retirees and retirees, 1999.xls Number of retirees, retirees and retirees 2000.xls Number of retirees, retirees and retirees 2004.xls Number of retirees, retirees and retirees 2006.xls Number of retirees, retirees and retirees 2003.xls The data table structure is the same. There are five fields in the data table of the number of retirees, retirees and retirees in 2001 Field 1: Department Field 2: Total Field 3: number of retired cadres by the end of this year Field 4: number of retired employees by the end of this year Field 5: number of retired employees receiving regular living expenses by the end of this year
Qinghai Provincial Bureau of Statistics
"This data set records the statistical data of the basic situation of households in Qinghai Province from 2013 to 2020. The data are divided by the number of sample households, households within the period, permanent resident labor force, permanent resident employees and housing. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 9 data tables, which are: Basic Information of Households 2013-2014 XLS Basic information of Households 2014-2015 XLS Basic information of Households 2016-2017. XLS Basic information of Households in 2016. XLS Basic information on Households 2017-2018. XLS Basic information of households in 2019. XLS Basic Information of Households 2020. XLS The data table structure is the same. For example, basic household information 2013-2014 data table has 7 fields: Field 1: indicator Field 2: All households Field 3: Urban households Field 4: Rural households Field 5: All households Field 6: Urban households Field 7: Rural households
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 dataset records the statistical data of marriage registration in Qinghai province from 1998 to 2020, and the data are divided by industry, region, affiliation and registration type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Marriage registration 1998. XLS Marriage registration 1999. XLS Marriage registration 2000. XLS Marriage registration 2001. XLS Marriage registration 2002. XLS Marriage registration 2003. XLS Marriage registration 2004. XLS Marriage registration 2005. XLS Marriage Registration 2006. XLS Marriage Registration 2007. XLS Marriage Registration 2008. XLS Marriage registration 2009. XLS Marriage Registration in 2010. XLS Marriage Registration 2011. XLS Marriage registration 2011-2020. XLS The data table structure is the same. For example, marriage registration 2001 The 2001 data table has 6 fields: Field 1: region Field 2: Permission to register marriage couples Field 3: # First marriage Field 4: # Remarried person Field 5: # Remarriage pair Field 6: Permission to register divorce couples
Qinghai Provincial Bureau of Statistics
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
This data set records the statistical data of the number of employees in urban collective units of Qinghai Province from 2006 to 2008 by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 11 tables, which are: the number of employees in urban collective units by industry and region at the end of the year (2006). XLS, the number of employees in urban collective units by industry and region at the end of the year (2007). XLS, the number of employees in urban collective units by industry and region at the end of the year (2008). XLS, etc. The data table structure is the same. For example, the data table in 2006 has four fields: Field 1: year Field 2: Industry Field 3: Region Field 4: amount
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of registered unemployed persons in cities and towns of Qinghai Province from 1980 to 2003, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains seven tables, which are: changes of urban registered unemployed persons from 1980 to 2001.xls, changes of urban registered unemployed persons from 1980 to 2002.xls, changes of urban registered unemployed persons from 1980 to 2003.xls, changes of urban registered unemployed persons from 1990 to 1998.xls, etc. The data table structure is the same. For example, there are four fields in the data table from 1980 to 2003 Field 1: year Field 2: number of unemployed Field 3: total number of people Field 4: Proportion
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of employees and labor remuneration of urban units in Qinghai Province from 2006 to 2008, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains three data tables: Urban unit employment and labor remuneration (2006). XLS, urban unit employment and labor remuneration (2007). XLS, urban unit employment and labor remuneration (2008). XLS. The data table structure is the same. For example, the data table in 2008 has four fields: Field 1: year Field 2: number of units Field 3: number of people Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of employees' changes in urban units of Qinghai Province from 2001 to 2008, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains nine tables, which are: changes of employees in urban units (2002). XLS, changes of employees in urban units (2003). XLS, changes of employees in urban units (2004). XLS, changes of employees in urban units (2006). XLS, etc. The data table structure is the same. For example, the data table in 2002 has four fields: Field 1: year Field 2: Rural Field 3: Town Field 4: People
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of employees at the end of the year according to the three industries in Qinghai Province, and the data are divided by industry, region, subordinate relationship, etc. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three tables: the number of employees at the end of the year by three industries 1952-2001.xls, the number of employees at the end of the year by three industries 1952-2002.xls, and the number of employees at the end of the year by three industries 1952-2003.xls. The data table structure is the same. For example, there are three fields in the data table from 1952 to 2001 Field 1: year Field 2: Practitioners Field 3: Industry
Qinghai Provincial Bureau of Statistics
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