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
Gridded population with 100m spaital resolution of the 34 key areas along One Belt One Road in 2015, which indicates that the population count per pixel (i.e., grid). This data is derived from geodata institute of Southampton University, UK. The prejection transform and extraction processes were done to generate the gridded population with 100m spaital resolution of the 8 key areas along One Belt One Road in 2015. The original gridded popution is spatially downscaled from census data and multisource data by the random forest method. Accurate population data at finer scale are fundamental for a broad range of applications by governments, nongovernmental organizations, and companies, including the urban planing, election, risk estimation, disaster rescue, disease control, and poverty reduction.
GE Yong, LING Feng
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
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
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 urbanization rate data of each state of Tajikistan from 2000 to 2016.The data is from kazakhstan's national statistics bureau. Urbanization is a concept with broad implications.In a narrow sense, it generally refers to the urbanization of population, which refers to the increase of the number of cities and the expansion of the urban scale, and the process of population aggregation to cities in a certain period.Urbanization rate refers to the proportion of permanent urban residents in a region in the total permanent resident population.The name of the original index is Russian, which has been translated and edited.The accuracy of the official data can provide basic data basis for the study of the socio-economic development of central Asian countries.
HUANG Jinchuan, MA Haitao
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
By applying Supply-demand Balance Analysis, the water resource supply and demand of the whole river basin and each county or district were calculated, based on which the vulnerability of the water resources system of the basin was evaluated. The IPAT equation was used to set a future water resource demand scenario, setting variables such as future population growth rate, economic growth rate, and unit GDP water consumption to establish the scenario. By taking 2005 as the base year and using assorted forecasting data of population size and economic scale, the future water demand scenarios of various counties and cities from 2010 to 2050 were forecast. By applying the basic structure of the HBV conceptual hydrological model of the Swedish Hydrometeorological Institute, a model of the variation tendency of the basin under climate change was designed. The glacial melting scenario was used as the model input to construct the runoff scenario under climate change. According to the national regulations of the water resources allocation of the basin, a water distribution plan was set up to calculate the water supply comprehensively. Considering of the supply and demand situation, the water resource system vulnerability was evaluated by the water shortage rate. By calculating the (grain production) land pressure index of the major counties and cities in the basin, the balance of supply and demand of land resources under the climate change, glacial melt and population growth scenarios was analyzed, and the vulnerability of the agricultural system was evaluated. The Miami formula and HANPP model were used to calculate the human appropriation of net primary biomass and primary biomass in the major counties and cities for the future, and the vulnerability of ecosystems from the perspective of supply and demand balance was assessed.
YANG Linsheng, ZHONG Fanglei
Taking 2005 as the base year, the future population scenario was predicted by adopting the logistic model of population. This model not only effectively describes the pattern of changes in population and biomass but is also widely applied in the field of economics. The urbanization rate was predicted using the urbanization logistic model. Based on the observed horizontal pattern of urbanization, a predictive model was established by determining the parameters in the parametric equation by applying nonlinear regression. The urban population was calculated by multiplying the predicted population by the urbanization rate. The data represent the non-agricultural population. The logistic model was used to predict the future gross domestic product of each county (or city), and then the economic development level of each county (or city) in each period (in terms of GDP per capita). The corresponding industrial structure scenarios in each period were set, and the output value of each industry was predicted. The trend of industrial structure changes in China and the research area lagged behind the growth in GDP, so the changes were adjusted according to the need for future industrial structure scenarios in the research area.
YANG Linsheng, ZHONG Fanglei
The dataset records 1960-2017 years of rural population statistics in 65 along the Belt and Road.Data sources: (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme. The data set contains 3 tables: (1))Rural population;(2)Rural population (% of total population;(3)Rural population growth (annual %).
XU Xinliang
The data set contains three tables: demographic data for Tibet, demographic data for each county in Tibet, and data on rural workers. These time series data include the year-end total population, the number of men, the number of women, urban population, rural population, and statistics on workers in various rural industries in Tibet from 1967 to 2016. The data were derived from the Tibet Society and Economics Statistical Yearbook and Tibet Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of demographic data for Tibet contains 10 fields. Field 1: Year Field 2: Year-end total population, unit: 10,000 Field 3: Total number of men, unit: 10,000 Field 4: Male proportion, unit: % Field 5: Total number of women, unit: 10,000 Field 6: Female proportion, unit: % Field 7: Urban population, unit: 10,000 Field 8: Urban population proportion, unit: % Field 9: Rural population, unit 10,000 Field 10: Rural population proportion, unit: %. Table 2: The table of demographic data for each county contains 7 fields. Field 1: Districts and counties Field 2: Year Field 3: Year-end total number of households Field 4: Number of rural households Field 5: Year-end total population, unit: 10,000 Field 6: Rural population, unit: 10,000 Field 7: Year-end number of workers, unit: 10,000 Table 3: The table of rural workers contains 7 fields Field 1: Year Field 2: Districts and counties Field 3: Number of rural workers Field 4: Number of workers in the agricultural, forestry, animal husbandry and fishery sectors Field 5: Number of workers in the industrial sector Field 6: Number of workers in the construction sector Field 7: Number of other non-agricultural workers
Tibet Autonomous Region Provincial Bureau of Statistics
This data set contains demographic structure and quantity statistics of Qinghai from 1952 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of rural grassroots organizations contains 10 fields. Field 1: Year of the data Field 2: Number of townships and towns Field 3: Number of townships Field 4: Number of towns Field 5: Number of villagers’ committees Field 6: Number of households in rural areas, unit: 10,000 Field 7: Population of rural areas, unit: 10,000 Field 8: Number of workers in rural areas, unit: 10,000 Field 9: Number of male workers, unit: 10,000 Field 10: Number of female workers, unit: 10,000 Table 2: The table of demographic statistics in Qinghai contains 8 fields. Field 1: Year of the data Field 2: Total population Field 3: Male population, unit: 10,000 Field 4: Female population, unit: 10,000 Field 5: Urban population, unit: 10,000 Field 6: Rural population, unit: 10,000 Field 7: Agricultural population, unit: 10,000 Field 8: Non-agricultural population, unit: 10,000 Table 3: The table describing the structure of rural workers contains 9 fields. Field 1: Year of the data Field 2: Number of workers in agricultural, forestry, animal husbandry and fishery sectors, unit: 10,000 Field 3: Number of workers in industry, unit: 10,000 Field 4: Number of workers in the construction sector, unit: 10,000 Field 5: Number of workers in the transportation, storage industry and post trade sectors, unit: 10,000 Field 6: Number of workers in the information industry, unit: 10,000 Field 7: Number of workers in commerce, unit: 10,000 Field 8: Number of workers in the accommodation and catering industry, unit: 10,000 Field 9: Number of workers in other industries Table 4: The table of demographic statistics for each county contains 9 fields. Field 1: Districts and counties Field 2: Year Field 3: Year-end total household number Field 4: Rural household number Field 5: Year-end total population Field 6: Rural total population Field 7: Year-end workers Field 8: Rural workers Field 9: Agriculture, forestry, animal husbandry and fishery
Qinghai Provincial Bureau of Statistics
The data set records the main data of the sixth national census of Qinghai Province in 2010. The data are divided by province (city, district), permanent population, quantity, gender and proportion. The data set contains 20 data tables, which are: the main data of the sixth national census in 2010.xls, the permanent population aged 6 and above by region, gender and education level in the sixth census in 2011.xls, the permanent population aged 6 and above by age, gender and education level in the sixth census in 2011.xls, and the permanent population aged 6 and above by region, age and gender in the sixth census in 2011.xls In the sixth census, the population aged 15 and above was illiterate in 2011.xls; in the sixth census, the population aged 15 and above was illiterate in 2011.xls; in the sixth census, the population aged 15 and above was illiterate in 2010.xls; in the sixth census, the population aged 15 and above and the sex ratio were illiterate in 2010.xls; in the sixth census, the population aged 15 and above was illiterate in 2010.xls Population with education level 2010.xls, the number and size of households by region and collective households in the sixth population census 2010.xls, the size of households by Region in the sixth population census 2011.xls, the category of households by Region in the sixth population census 2011.xls, the number of rooms and area of households by Region in the sixth population census 2011.xls, and the ethnic composition by Region in the sixth population census 2010.xls The main data of the sixth population census in Qinghai Province are as follows: the age composition of the sixth population census by Region 2010.xls, the population density of the sixth population census by Region 2010.xls, the age composition and dependency ratio of the sixth population census by Region 2011.xls, the age and gender permanent population of the sixth population census 2011.xls, the urbanization rate of the sixth population census by Region 2010.xls Report.docx. The data table structure is different. For example, the data table in 2010 has nine fields: Field 1: Province (city, district) Field 2: Region Field 3: resident population Field 4: quantity Field 5: Rank Field 6: Male Field 7: specific gravity Field 8: Female Field 9: sex ratio
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 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 is mainly included the population, arable land and animal husbandry data of Qinghai Province and Tibet Autonomous Region in the past 100 years. The data mainly comes from historical documents and modern statistics. The data quality is more reliable. It mainly provides arguments for the majority of researchers in the development of agriculture and animal husbandry on the Qinghai-Tibet Plateau.
LIU Fenggui
The data set includes: population and GDP data of the arctic (1990-2015) and county-level population and GDP data of the third pole region (gansu, qinghai and Tibet) (1970-2016). Socio-economic statistical attributes include: population (ten thousand), GDP (ten thousand yuan), total industrial and agricultural output (ten thousand yuan), total agricultural output (ten thousand yuan), and total industrial output (ten thousand yuan). The arctic population data are mainly derived from the world populationProspects: 2017 revision by the Department of economic and social affairs, which divides the total population by region and country. The data of the third pole mainly refer to the statistical yearbook of gansu province, qinghai province and Tibet autonomous region.County records of gansu, qinghai and Tibet autonomous regions.
Department of Economic and Social Affairs, National Bureau of Statistics, Qinghai Provincial Bureau of Statistics
The whole mitochondrial genomes of 68 Tibetan samples were sequenced by high-throughput second-generation sequencing. The average depth of sequencing was 1000 ×, ensuring that the mitochondrial genome of each sample was completely covered (100%). Based on the phylogenetic analysis, we control the quality of these data to ensure that there is no sample pollution and other quality problems. According to the phylogenetic tree, each individual was allocated into haplogroups. The results showed that in Lhasa Tibetan population, M9a1c1b1a was the highest (19.12%), followed by G2 (13.23%), M13a (11.76%), C4a (7.35%), D4 (7.35%), A11a1a (5.88%), M9a1b (5.88%), and F1c, F1g, B4, F1d, M62b, F1a, F1b, G1, M11, M8a, U7a, Z3a. These haplogroups have different originations, including Paleolithic components (M13a, M62b, M9a1b, etc.), northern China millet farmers’ components (M9a1c1b1a and A11a1a), components distributed mainly in southern East Asia (F1a, etc.), northern East Asian haplogroups (C4a, D4, etc.). It is worth noting that the maternal component of Lhasa Tibetans is mainly composed of millet agricultural population in northern China, indicating the important impact of genetic input of millet agricultural population in northern China on the genetic structure of the population in this area. Taken together, the maternal genetic structure of Lhasa Tibetan population exhibits time stratification, which may represent the genetic imprint of different population entering the region in different periods.
KONG Qingpeng
The data set records the statistical data of population change in different regions of Qinghai Province from 1998 to 2010, which is divided by region, total number of households, total population, birth population and death population. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 10 data tables with different structures. For example, the data table in 1999 has five fields: Field 1: Region Field 2: total number of households Field 3: total population Field 4: birth population Field 5: death population
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
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