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 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 records the number of rural households, population and rural employees in Qinghai Province from 1978 to 2003, and the data is divided by 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 four tables: rural employees 1978-2001.xls, rural employees 1978-2002.xls, rural households, population and rural employees 1978-2003.xls, rural households, population and rural employees 2004.xls. The data table structure is the same. For example, there are eight fields in the data table from 1978 to 2001 Field 1: Year Region Field 2: total of rural employees Field 3: agriculture, forestry, animal husbandry and fishery Field 4: Industry Field 5: Construction Field 6: transportation, warehousing, posts and Telecommunications Field 7: Wholesale and retail trade catering industry Field 8: other non agricultural industries
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
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 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 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
This data records the statistical data of the number of employees at the end of 2001-2008 in Qinghai Province by registration type and sub industry. The data is divided by project, total, state-owned units, urban collective units and other units. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains eight data tables with the same structure. For example, the data table in 2006 has five fields: Field 1: Project Field 2: Total Field 3: state owned Units Field 4: urban collective unit Field 5: other units
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
The data set records the total population and natural changes of Qinghai Province from 1952 to 2010, and the data are divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 13 data tables with the same structure. For example, there are eight fields in the data table from 1952 to 1998 Field 1: year Field 2: total population Field 3: number of births Field 4: birth rate Field 5: number of deaths Field 6: mortality Field 7: natural increase Field 8: natural growth rate
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
The data set records the statistical data of registered unemployed persons in major years in Qinghai Province, and the data are divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set includes three data tables: the number of employees at the end of the year 1952-1998.xls, the number of employees at the end of the year 1952-1999.xls, and the number of employees at the end of the year 1952-2000.xls in the main years. The data table structure is the same. For example, the data table in 2000 has eight fields: Field 1: year Field 2: Practitioners Field 3: state owned economy Field 4: collective economy Field 5: urban private economy Field 6: urban individual economy Field 7: foreign investment economy in Hong Kong, Macao and Taiwan Field 8: other economies
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 is the population grid data of ten meter scale in 2019. Each grid expresses the total number of population within this range (unit: person). The source data of this data comes from Myanmar's 2019 1km population data set in the world pop data center（ https://www.worldpop.org/geodata/summary?id=40443 ）, the obtained source data are processed by projection transformation and clipping to obtain the population distribution in Yangon, and then the data are downscaled, The spatial distribution data set of refined population (10m) in Yangon deep water port area is obtained. Regular ten meter scale population grid data are obtained by spatial scale conversion and downscaling. Each grid population is calculated by random forest method according to the population of each administrative unit and multi-source auxiliary data. Population data can be used in many fields, including urban planning, elections, risk assessment, disaster relief, disease prevention and control, poverty reduction and poverty alleviation, etc;
GE Yong, LI Qiangzi, LI Yi
The population grid data of 100 meter scale in 2010, each grid expresses the total number of population within the range (unit: person). The data is from the Institute of earth data, University of Southampton, UK. The data is processed by projection transformation and clipping to get the population distribution in Yangon area. Then the data is downscaled to get the refined population spatial distribution data set in Yangon deepwater port area. This data is based on the census data of administrative units, and the regular 100 meter scale population grid data is obtained through spatial scale conversion. Each grid population is calculated by using random forest method according to the population of each administrative unit and multi-source auxiliary data. Population data can be used in many fields, including urban planning, elections, risk assessment, disaster relief, disease prevention and control, poverty alleviation and so on;
GE Yong, LI Qiangzi, LI Yi
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
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
This data records the statistical data of the number of employees of urban units in Qinghai Province at the end of 2009-2018, which are divided by project, total, state-owned units, urban collective units and other units. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. There are 12 data tables in the dataset, and the structure of each year's data table is the same. For example, the data table in 2018 has six fields: Field 1: Project Field 2: item Field 3: Total Field 4: state owned Units Field 5: urban collective units Field 6: other units
Qinghai Provincial Bureau of Statistics
This data records the statistical data of the number of employees in different regions and industries of Qinghai Province at the end of 2006-2008. The data are divided according to the project, the total of the whole province, Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains six data tables with different structures. For example, there are 18 fields in the data table from 1978 to 2002 Field 1: Year Region Field 2: Total Field 3: agriculture, forestry, animal husbandry and fishery Field 4: extractive industries Field 5: manufacturing Field 6: production and supply of electricity, gas and water Field 7: Construction Field 8: geological exploration and water conservancy management Field 9: transportation, warehousing, posts and Telecommunications 10: Wholesale and retail Field 11: finance, insurance Field 12: Real Estate Field 13: social services Field 14: health, sports and social welfare Field 15: education, culture and arts, radio, film and television Field 16: scientific research and integrated technical services Field 17: state organs, political party organs and social organizations Field 18: other
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 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 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
This data records the statistical data of female employees in different types of registration and sub industries in Qinghai Province from 2001 to 2008. The data are divided by project, total, state-owned units, urban collective units and other units. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains eight data tables with the same structure. For example, the data table in 2008 has six fields: Field 1: Project Field 2: item Field 3: Total Field 4: state owned Units Field 5: urban collective units Field 6: other units
Qinghai Provincial Bureau of Statistics
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
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
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
The data set records the statistical data of changes of registered urban unemployed in Qinghai province in major years from 1980 to 2020, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Year Field 2: Total number of unemployed persons Field 3: Number of carryovers from previous year Field 4: New additions for the year Field 5: Number of unemployed persons placed for employment in the current year Field 6: Actual number of unemployed persons at the end of this year Field 7: Registered urban unemployment rate
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of employed persons in Qinghai Province by urban and rural areas at the end of the year, and the data is divided by industry, region, type, 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, which are: the number of employed persons at the end of the year 2005-2006.xls by urban and rural areas, the number of employed persons at the end of the year 2006-2007.xls by urban and rural areas, and the number of employed persons at the end of the year 2007-2008.xls by urban and rural areas. The data table structure is the same. For example, the data table from 2005 to 2006 has three fields: Field 1: Project Field 2: Town Field 3: Rural Field 4: Total
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 records statistics on the number of non-private employment in Qinghai province by type of registration and industry at the end of the year from 2011 to 2020. The data are grouped by enterprises, institutions and organs, and by industry of the national economy. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 10 data tables with the same structure. For example, the 2018 table has six fields: Field 1: Item Field 2: Item Field 3: Total Field 4: State-owned units Field 5: Town collective units Field 6: Other units
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of employees at the end of the year in Qinghai Province by urban and rural areas, and the data is divided by industry, region, 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 8 tables, which are: number of employees at the end of the year by urban and rural areas (2003). XLS, number of employees at the end of the year by urban and rural areas (1999-2000. XLS), number of employees at the end of the year by urban and rural areas (2000-2001. XLS), number of employees at the end of the year by urban and rural areas (2001-2002. XLS), number of employees at the end of the year by urban and rural areas (2003-2004. XLS), number of employees at the end of the year by urban and rural areas (2003-2004. XLS) Number of employees 2004-2005.xls, number of employed persons by urban and rural areas 2008-2009.xls number of employed persons by urban and rural areas 2009-2010.xls. The data table structure is the same. For example, the data table in 2003 has three fields: Field 1: Total Field 2: Township Field 3: Rural
Qinghai Provincial Bureau of Statistics
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
"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
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 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
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
The data set records the number of rural labor force in different industries in Qinghai Province from 1952 to 1998, and the data is divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains one data table, which is: the number of rural labor by industry 1952-1998.xls. The data table structure is the same. For example, there are eight fields in the data table from 1952 to 1998 Field 1: Category Field 2: 1952 Field 3: 1978 Field 4: 1990 Field 5: 1995 Field 6: 1996 Field 7: 1997 Field 8: 1998
Qinghai Provincial Bureau of Statistics
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
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 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 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
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
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