Data content: money supply (2012-2021) and assets and liabilities of financial institutions (2007-2020) Data source and processing method: The original data of the third pole (China) banks and currencies from 2015 to 2021 were obtained from the official website of the World Bank and Sina.com, and the data set of the third pole (China) banks and currencies from 2012 to 2021 was obtained through data sorting, screening and cleaning. The data started from 2012 to 2021 in Microsoft Excel (xls) format. Data quality description: excellent Data application achievements and prospects: provide effective reference as socio-economic data
FU Wenxue
Data content: price index_ Consumer Price Index (CPI) (2009-2022) Data source and processing method: The original data of the third pole (China) price index economy from 2015 to 2022 were obtained from the official website of the World Bank and Sina.com, and the economic data set of the third pole (China) price index from 2009 to 2022 was obtained through data collation, screening and cleaning. The data started from 2009 to 2022 in Microsoft Excel (xls) format. Data quality description: excellent Data application achievements and prospects: provide effective reference as socio-economic data
FU Wenxue
Data content: annual statistics of gross domestic product (GDP) (1991-2021), domestic assets and liabilities data (2011-2020) and domestic input and output data (2012-2018) Data source and processing method: The original macroeconomic data of the third pole (China) from 2015 to 2021 were obtained from the official website of the World Bank and Sina.com, and the macroeconomic data set of the third pole (China) from 1991 to 2021 was obtained through data sorting, screening and cleaning. The data was stored in Microsoft Excel (xls) format. Data quality description: excellent Data application achievements and prospects: provide effective reference as socio-economic data
FU Wenxue
Data content: foreign economy and trade_ Total import and export of goods (1991-2021) Data source and processing method: The original data of foreign trade and investment of the third pole (China region) from 2015 to 2021 were obtained from the official website of the World Bank and Sina.com, and the data set of foreign trade and investment of the third pole (China region) from 1991 to 2021 was obtained through data sorting, screening and cleaning. The data started from 1991 to 2021 in Microsoft Excel (xls) format. Data quality description: excellent Data application achievements and prospects: provide effective reference as socio-economic data
FU Wenxue
This data set is the daily vorticity related flux observation data of Naqu flux station (31.64 ° N 92.01 ° E, 4598 m a.s.l.), including ecosystem net ecosystem productivity (NEP), total primary productivity (GPP) and ecosystem respiration (ER) data. The main steps of data pre-processing include wild point removal (± 3 σ）、 Coordinate axis rotation (3D wind rotation), Webb Pearman Leuning correction, outlier elimination, carbon flux interpolation and decomposition, etc. Missing data are interpolated through the nonlinear empirical formula between CO2 flux value (Fc) and environmental factors.
ZHANG Yangjian
This dataset is the daily vorticity related flux observation data of Naqu flux station (31.64 ° N 92.01 ° E, 4598 m a.s.l.), including net ecosystem productivity (NEP), total primary productivity (GPP), ecosystem respiration (ER), evapotranspiration, latent heat, sensible heat, air temperature, relative humidity, wind speed, soil temperature, soil moisture and other data. The main steps of data pre-processing include wild point removal (± 3 σ）、 Coordinate axis rotation (3D wind rotation), Webb Pearman Leuning correction, outlier elimination, carbon flux interpolation and decomposition, etc. Missing data are interpolated through the nonlinear empirical formula between CO2 flux value (Fc) and environmental factors.
ZHANG Yangjian
Data content: Industrial added value of national economy (monthly) (2010-2021) Data source and processing method: obtain the original data of the third pole (China) industrial economy in 2010-2021 from the official website of the World Bank and Sina.com, and obtain the industrial economy data set in 2010-2021 (China) through data sorting, screening and cleaning. The data starts from 2010 to 2021 in Microsoft Excel (xls) format. Data quality description: excellent Data application achievements and prospects: provide effective reference as social, industrial and economic data
FU Wenxue
The data set includes the implied water resources and land resource flows among 11 cities and counties in the Heihe River basin, including Ganzhou, Sunan, Minle, Linze, Gaotai, Shandan, Suzhou, Jinta, Jiayuguan and Ejina. Table 1 includes the transfer volume of virtual water resources and virtual land resources among multiple regions. Table 2 includes the virtual water resources export volume of each regional sub sector and the virtual water resources import volume of each regional sub sector. Table 3 includes the export volume of virtual land resources of each regional sub sector and the import volume of virtual land resources of each regional sub sector. Based on the input-output tables of 11 cities and counties in the Heihe River Basin, we investigate the consumption, loss and flow of water and land resources in each economic sector, construct a coupled water-land resource accounting statement, and calculate the virtual water resources and virtual land resources flow by sector in each region based on the input-output analysis method. The water consumption and land use data of each region and sector are obtained from official statistical yearbook data.
CHEN Bin
Provide detailed spatial distribution of GDP data in China from 1990 to 2015 year by year. The data is 1km grid data, and the unit is 10000 yuan / square kilometer. This grid data comprehensively considers multiple factors for weight allocation to realize the spatialization of GDP, which is convenient for data sharing and spatial statistical analysis. The data comes from the resource and environment science data registration and publication system. The year-on-year data is obtained by linear interpolation of the original data, and is 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
Based on the non survey method, referring to the provincial input-output table and county-level statistical data of the Qilian Mountain region, the project compiled the input-output table of the Qilian Mountain Region in 2017. This table provides a data basis for analyzing the production and consumption of regional economy and the virtual water resources contained in its products or services. The input-output table uses the input-output tables of Qinghai Province, Inner Mongolia Autonomous Region and Gansu Province in 2017, analyzes the industrial production, residents' consumption and interregional trade information of districts and counties included in the Qilian Mountains, and constructs the input-output table of the Qilian Mountains. The input-output table is the characterization of the regional macroeconomic structure and the level of regional products or services.
WU Feng
Vulnerability of disaster bearing body is the degree of damage that human social and economic activities may suffer under the disturbance or pressure of natural disasters under a certain social and economic background, that is, the nature that disaster bearing body is vulnerable to damage and loss in the face of natural disasters. Based on the actual scientific research and expert guidance, this data constructs the vulnerability assessment indicators of disaster bearing bodies from the three aspects of exposure, sensitivity and adaptability, and uses the revised serv vulnerability model to calculate the Himalayan surrounding areas (domestic part) and the Asian water tower area. In order to systematically analyze the vulnerability of disaster bearing bodies in the study area, this data selects indicators from six aspects: population, economy, traffic lines, ecological environment, livestock and buildings, and constructs an indicator system of 6 first-class indicators, 18 second-class indicators and 29 third-class indicators. After the obtained vulnerability assessment results of population, economy, traffic lines, ecological environment, livestock and buildings are normalized, the vulnerability assessment maps of Himalayan surrounding areas (domestic part) and Asian water tower area are obtained by vector superposition.
ZHOU Qiang, CHEN Yingming , LIU Fenggui, CHEN Ruishan , CHEN Qiong, XIA Xingsheng , NIU Baicheng , DUAN Yufang
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 health care development in countries along the Belt and Road reflects the level of resilience of health care development in the countries along the Belt and Road, and the higher the value of the data, the stronger the resilience of health care development in the countries along the Belt and Road. The World Bank statistical database was used for the preparation of the health resilience data. Based on the year-on-year data of these four indicators, and taking into account the year-on-year changes of each indicator, the product of resilience in the development of healthcare conditions was prepared through comprehensive diagnosis based on sensitivity and adaptability analysis. "The Resilience in Health Care Development dataset for countries along the Belt and Road is an important reference for analysing and comparing the current resilience in health care development in each country.
XU Xinliang
The development resilience of social employment in the countries along the Belt and Road reflects the level of resilience of social employment in the countries along the Belt and Road, and the higher the value of the data, the stronger the development resilience of social employment in the countries along the Belt and Road. The data product of social employment development resilience is prepared by referring to the World Bank statistical database, using the year-by-year data of the ratio of total unemployment to total labour force in the countries along the Belt and Road from 2000 to 2019, and based on sensitivity and adaptability analysis by considering the year-by-year changes of each indicator. A comprehensive diagnostic was carried out to generate a resilience product for the development of social employment. "The data set on the resilience of social employment development in the countries along the Belt and Road is an important reference for analysing and comparing the resilience of the current population growth in each country.
XU Xinliang
The resilience of education in Belt and Road countries reflects the level of resilience of education in the countries along the Belt and Road, and the higher the value, the stronger the resilience of education in the countries along the Belt and Road. The data on the resilience of educational conditions are prepared by referring to the World Bank's statistical database, using year-on-year data on four indicators - literacy rate, education expenditure, secondary school enrolment rate and tertiary enrolment rate - for countries along the Belt and Road from 2000 to 2019, and taking into account the year-on-year changes in each indicator. Based on the sensitivity and adaptability analysis, a comprehensive diagnosis was carried out to generate a resilience product for the development of education conditions. "The data set on the resilience of educational conditions in countries along the Belt and Road is an important reference for analysing and comparing the current resilience of educational conditions in each country.
XU Xinliang
The GDP per capita growth resilience dataset for countries along the Belt and Road is a comprehensive reflection of the level of GDP per capita growth resilience of each country. The GDP per capita growth resilience dataset was prepared with reference to the World Bank's statistical database, using year-on-year data on GDP per capita (constant 2010 US dollars) for countries along the Belt and Road from 2000 to 2019, and based on sensitivity and adaptability analysis, taking into account the year-on-year changes of each indicator. Through a comprehensive diagnostic, a product on GDP per capita growth resilience was prepared. "The GDP per capita growth resilience dataset for countries along the Belt and Road is an important reference for analysing and comparing the current GDP per capita growth resilience of each country.
XU Xinliang
The Belt and Road financial system resilience dataset reflects the level of resilience of the financial system of each country, and the higher the value of the data, the stronger the resilience of the financial system of the countries along the Belt and Road. The financial system resilience includes money market development resilience, banking system resilience, and stock market resilience. The data products are prepared with reference to the World Bank's statistical database, using broad money growth (annual percentage), real interest rates, net domestic credit (current local currency) as a percentage of GDP, and net domestic credit (current local currency) for countries along the Belt and Road from 2000 to 2019. The financial system resilience product is prepared through a comprehensive diagnosis based on sensitivity and adaptability analysis, taking into account year-on-year changes in each indicator, using year-on-year data on six indicators: bank liquidity reserves as a percentage of bank assets, bank capital as a percentage of assets, and total stock transactions as a percentage of GDP. The financial system resilience dataset for countries along the "Belt and Road" is an important reference for the analysis and comparison of the current financial system resilience of each country.
XU Xinliang
Macroeconomics refers to the entire national economy or the national economy as a whole, as well as its economic activities and operational status. "The data set of macroeconomic development resilience of countries along the Belt and Road reflects the level of macroeconomic development resilience of the countries along the Belt and Road, and the higher the data value, the stronger the macroeconomic development resilience of the countries along the Belt and Road. The macroeconomic development resilience dataset is prepared with reference to the World Bank's statistical database, using year-on-year changes in four indicators: GDP per capita, gross fixed capital formation as a percentage of GDP, inflation as measured by the GDP deflator, and total savings as a percentage of GDP for countries along the "Belt and Road" from 2000 to 2019. The macroeconomic development resilience product was prepared through a comprehensive diagnosis based on sensitivity and adaptability analysis, taking into account the year-on-year changes of each indicator. "The resilience dataset of macroeconomic development of countries along the Belt and Road is an important reference for analysing and comparing the resilience of macroeconomic development of various countries.
XU Xinliang
"The resilience of the domestic economic systems of the countries along the Belt and Road reflects the level of resilience of the domestic economic systems of each country, and the higher the value of the data, the stronger the resilience of the domestic economic systems of the countries along the Belt and Road. The resilience of domestic economic systems includes macroeconomic development resilience, industrial and service sector development resilience, and the data products are prepared with reference to the World Bank statistical database, using GDP per capita, gross fixed capital formation as a percentage of GDP, inflation as measured by GDP deflator, and gross savings as measured by GDP deflator for countries along the Belt and Road from 2000 to 2019. The resilience products of the domestic economic system are prepared through a comprehensive diagnosis based on sensitivity and adaptability analysis, taking into account the year-on-year changes of each indicator, using year-on-year data of six indicators: GDP per capita, gross fixed capital formation as a percentage of GDP, gross savings as a percentage of GDP, industrial value added as a percentage of GDP, and service value added as a percentage of GDP. "The resilience dataset of the domestic economic systems of the countries along the Belt and Road is an important reference for analysing and comparing the resilience of the domestic economic systems of various countries.
XU Xinliang
"The resilience dataset reflects the level of resilience of industrial and service development in the countries along the Belt and Road, and the higher the value, the stronger the resilience of industrial and service development in the countries along the Belt and Road. The resilience of industrial and service sector development data products are prepared with reference to the World Bank's statistical database, using the year-on-year changes of two indicators, namely the value added of industry as a percentage of GDP and the value added of service sector as a percentage of GDP, for countries along the Belt and Road from 2000 to 2019, and on the basis of considering the year-on-year changes of each indicator. Based on the sensitivity and adaptability analysis, a comprehensive diagnostic was prepared to generate products on the resilience of industrial and service sector development. "The resilience dataset of industrial and service sector development in countries along the Belt and Road is an important reference for analysing and comparing the current resilience of industrial and service sector development in each country.
XU Xinliang
"The Belt and Road countries' external trade system resilience dataset comprehensively reflects the level of resilience of each country's external trade system, and the higher the value of the data, the stronger the resilience of the external trade system of the countries along the Belt and Road. The World Bank's statistical database was used for the preparation of the external trade system resilience data, and the annual data of three indicators, namely the ratio of trade volume to gross national product (GDP), the annual growth rate of exports of goods and services, and the annual growth rate of imports of goods and services of countries along the Belt and Road, were used from 2000 to 2019. On the basis of the year-on-year changes in each indicator, a comprehensive diagnosis based on sensitivity and adaptability analysis was carried out to generate a resilience product for the foreign trade system. Please refer to the documentation for the methodology of preparing the data set. "The resilience dataset of the foreign trade system of countries along the Belt and Road is an important reference for analysing and comparing the current resilience of the foreign trade system of each country.
XU Xinliang
Using the dynamic computable general equilibrium model, taking 2012 as the base year, simulate the GDP changes of 48 industrial sectors in Zhangye City from 2013 to 2030, and carry out the prediction and simulation under different scenarios of benchmark growth, low-speed growth and high-speed growth, which can better describe the economic changes and industrial structure changes of various industrial sectors in Zhangye City in Heihe River Basin. The data comes from the input-output table of Heihe River Basin, Zhangye statistical yearbook and Zhangye statistical bulletin of national economic and social development. 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 simulation data set reflecting the economic development of Zhangye City in the middle reaches of the Heihe River Basin. It has a long time series and can provide reference information for the economic development and changes of industrial structure in the middle reaches of the Heihe River Basin.
WU Feng
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
Food consumption is not only an important indicator to determine the carrying capacity of land resources, but also an important basis to reflect residents' living standards. The food consumption data of the Qinghai Tibet Plateau is based on the data of the Tibet statistical yearbook to sort out the main types and consumption of food in urban and rural areas, such as the consumption of grain, meat, eggs and milk; Combined with the questionnaire survey data of typical counties, the type and quantity data of food consumption in typical counties are statistically sorted out. The data set includes: (1) urban and rural food consumption data on the Qinghai Tibet Plateau; (2) Consumption data of typical counties in Qinghai Tibet Plateau. The data can be used to analyze the spatial differences of food consumption in the Qinghai Tibet Plateau, which is of great significance to the study of land carrying capacity in the Qinghai Tibet Plateau.
YANG Yanzhao
"The data set recorded the gross output value of agriculture, forestry, animal husbandry and fishery in Qinghai province in major years, and the statistical data covered the period from 1952 to 2020. The data were classified by main years and regional projects in Xining, Haidong, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The dataset contains eight data tables, which are: Total Output Value of Agriculture, Forestry, Animal Husbandry and Fishery of Qinghai Province in main years (1952-2020). XLS, Total output value of Agriculture, Forestry, Animal Husbandry and Fishery of Qinghai Province in main years (2012), Total output value of Agriculture, Forestry, Animal Husbandry and Fishery of Qinghai Province in Main years (2013), Total output value of Agriculture, Forestry, Animal Husbandry and Fishery of Qinghai Province in Main years (2014), Total output value of Agriculture, Forestry, Animal Husbandry and Fishery of Qinghai Province in Main years (1952-2020). Gross output value of Agriculture, Forestry, Animal Husbandry and Fishery in major years (2016), Gross output value of Agriculture, Forestry, Animal Husbandry and Fishery in major years (2017), Gross output value of Agriculture, Forestry, Animal Husbandry and Fishery in major years (2018). The data table structure is similar. For example, the total output value of agriculture, Forestry, Animal Husbandry and fishery in the main year (2012) has 7 fields in the data table: Field 1: Year Field 2: gross output value of agriculture, forestry, animal husbandry and fishery Field 3: Agriculture Field 4: Forestry Field 5: Animal husbandry Field 6: Fisheries Field 7: Agriculture, forestry, Animal husbandry and fishery professional and ancillary activities"
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the added value of agriculture, forestry, animal husbandry and fishery in Qinghai Province in the main years, and the statistical data covers the period from 2012 to 2018. The data are divided by items such as 2006, 2007, 2008, 2009, 2010, 2011 and 2012. The data set contains 7 data tables, which are: added value of agriculture, forestry, animal husbandry and fishery in Main Years (2012), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2013), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2014), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2015), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2016), added value of agriculture, forestry, animal husbandry and fishery in Main Years (2017), Added value of agriculture, forestry, animal husbandry and fishery in Main Years (2018). The data table structure is similar. For example, the data table of added value of agriculture, forestry, animal husbandry and fishery in Main Years (2012) has 7 fields: Field 1: year / Project Field 2: added value of agriculture, forestry, animal husbandry and fishery Field 3: Agriculture Field 4: Forestry Field 5: Animal Husbandry Field 6: Fisheries Field 7: agriculture, forestry, animal husbandry and Fishery Services
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of main livestock and poultry production in Qinghai Province, covering the period from 2008 to 2018. The data are divided by pig, cattle, sheep, poultry and other items. The data set contains 11 data tables, which are: Main Livestock and poultry production table (2008), main livestock and poultry production table (2009), main livestock and poultry production table (2010), main livestock and poultry production table (2011), main livestock and poultry production table (2012), main livestock and poultry production table (2013), main livestock and poultry production table (2014) and main livestock and poultry production table (2015), table of main livestock and poultry production (2016), table of main livestock and poultry production (2017), table of main livestock and poultry production (2018). The data table structure is similar. For example, the data table of main livestock and poultry production (2008) has three fields: Field 1: indicator Field 2: Units Field 3: quantity
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation of fishery production in Qinghai Province, and the statistical data covers the period from 2010 to 2018. The data are divided according to the total output of aquatic products, aquaculture area, motor fishing boats, aquaculture fishermen, aquaculture enterprises and other projects. The data set contains 9 data tables, which are: basic situation of fishery production in Qinghai Province (2010), basic situation of fishery production in Qinghai Province (2011), basic situation of fishery production in Qinghai Province (2012), basic situation of fishery production in Qinghai Province (2013), basic situation of fishery production in Qinghai Province (2014), basic situation of fishery production in Qinghai Province (2015) and basic situation of fishery production in Qinghai Province (2016), basic situation of fishery production in Qinghai Province (2017), basic situation of fishery production in Qinghai Province (2018). The data table structure is similar. For example, the data table of basic situation of fishery production in Qinghai Province (2010) has three fields: Field 1: indicator Field 2: Units Field 3: quantity
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic statistical data of green food enterprises and products in Qinghai Province, covering the period from 2004 to 2008. The data are divided by pearl oyster, pearl oyster egg, split beef, Tibetan green salt, high concentration seabuckthorn fruit honey, rapeseed high-grade cooking oil, pea starch, honey and other items. The data set contains five data tables, namely: green food enterprises and products in Qinghai Province (2004), green food enterprises and products in Qinghai Province (2005), green food enterprises and products in Qinghai Province (2006), green food enterprises and products in Qinghai Province (2007) and green food enterprises and products in Qinghai Province (2008). The data table structure is similar. For example, the data sheet of green food enterprises and products in Qinghai Province (2004) has 6 fields: Field 1: Manufacturer Field 2: registered trademark Field 3: output Field 4: output value (10000 yuan) Field 5: product sales region Field 6: contact number
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the directory data of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province. The statistical data covers the period from 2004 to 2012. The data are divided by Qinghai Sanjiang Group Co., Ltd., Qaidam Longkang high tech Pharmaceutical Co., Ltd., Huangzhong County Foreign Trade Co., Ltd., Guinan County cattle and sheep fattening Comprehensive Development Co., Ltd., Minhe Tianrun industry and Trade Development Co., Ltd., Xunhua Tianxiang Two Pepper company, etc. The data set contains 9 data tables, which are: the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2004), the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2005), the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2006), and the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2007), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2008), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2009), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2010), list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2011) , the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2012). The data table structure is similar. For example, the list of national and provincial leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2004) has two fields: Field 1: enterprise name Field 2: level
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the total output value and added value of agriculture, forestry, animal husbandry and fishery in Qinghai Province at current price. The statistical data covers the period from 2006 to 2014. The data are divided by total output value of agriculture, forestry, animal husbandry and fishery, agriculture, forestry, animal husbandry, fishery, agriculture, forestry, animal husbandry and fishery services, etc. The data set contains 9 data tables, which are: total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2006), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2007), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2008), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2009), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2010), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2011), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2012), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2013), total output value and added value of agriculture, forestry, animal husbandry and fishery (current price) (2014). The data table structure is similar. For example, the data table of total output value and added value (current price) (2006) of agriculture, forestry, animal husbandry and fishery has four fields: Field 1: indicator name Field 2: 2006 Field 3: 2005 Field 4: increase or decrease%
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation of rural areas and agricultural production conditions in Qinghai Province. The statistical data covers the period from 2007 to 2013. 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 includes rural basic situation and agricultural production conditions (Table 1) (2007), rural basic situation and agricultural production conditions (Table 2) (2007), rural basic situation and agricultural production conditions (Table 3) (2007), rural basic situation and agricultural production conditions (Table 4) (2007), rural basic situation and agricultural production conditions (Table 5) (2007), rural basic situation and agricultural production conditions (Table 6) (2007), rural basic situation and agricultural production conditions (Table 7) (2007), rural basic situation and agricultural production conditions (Table 8) (2007), rural basic situation and agricultural production conditions (Table 1) (2008), rural basic situation and agricultural production conditions (Table 2) There are 105 data sheets in total (2008). The structures of each data sheet are similar. For example, the data sheet of rural basic situation and agricultural production conditions (Table I) (2007) has 20 fields: Field 1: number of township governments Field 2: number of village committees Field 3: number of cooperatives Field 4: number of rural households Field 5: rural population Field 6: rural community infrastructure Field 7: total rural labor resources Field 8: total number of rural employees Field 9: current year outgoing personnel Field 10: education level Field 11: agriculture, forestry, animal husbandry and fishery practitioners Field 12: total cultivated land resources at the beginning of the year Field 13: cultivated land area increased in the current year Field 14: cultivated land area reduced in the current year Field 15: national infrastructure land occupation Field 16: land occupation of rural collective infrastructure Field 17: land occupied by individual farmers Field 18: Reforestation area Field 19: area for returning farmland to grassland Field 20: change cultivated land to garden land
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the basic situation of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province, and the statistical data covers the period from 2013 to 2018. The data is divided by enterprise name, enterprise registration type, legal representative, general manager, enterprise address, fixed telephone, mobile phone and fax. The data set contains six data tables, which are: basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2013), basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2014), basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2015), basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2016), Basic information of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2017), and basic information of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2018). The data table structure is the same. For example, the basic information table of leading enterprises in agriculture and animal husbandry industrialization in Qinghai Province (2013) has 9 fields: Field 1: enterprise name Field 2: enterprise registration type Field 3: legal representative Field 4: General Manager Field 5: business address Field 6: zip code Field 7: fixed telephone, mobile phone and fax Field 8: Web address Field 9: remarks
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the animal husbandry production in pastoral and semi pastoral counties of Qinghai Province. The statistical data covers the period from 2009 to 2018. The data are divided according to the basic situation, livestock and poultry breeding, output and marketing of livestock products, sales of livestock products and other items. The data set contains 10 data tables, which are: animal husbandry production in pastoral counties and semi pastoral counties (2009), animal husbandry production in pastoral counties and semi pastoral counties (2010), animal husbandry production in pastoral counties and semi pastoral counties (2011), animal husbandry production in pastoral counties and semi pastoral counties (2012), animal husbandry production in pastoral counties and semi pastoral counties (2013), pastoral counties Animal husbandry production in semi pastoral counties (2014), animal husbandry production in pastoral counties and semi pastoral counties (2015), animal husbandry production in pastoral counties and semi pastoral counties (2016), animal husbandry production in pastoral counties and semi pastoral counties (2017), and animal husbandry production in pastoral counties and semi pastoral counties (2018). The data table structure is similar. For example, there are four fields in the data sheet of animal husbandry production in pastoral counties and semi pastoral counties (2010): Field 1: indicator name Field 2: calculation unit Field 3: Pastoral County Field 4: semi pastoral counties
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the situation of green biological capital enterprises and products in Qinghai Province, and the statistical data covers the period from 2013 to 2017. Green production resources include fertilizers, pesticides, feed and feed additives, veterinary drugs, food additives and other production inputs related to green food production. The data are based on Qinghai Yuhe bio organic fertilizer plant, Qinghai jiangheyuan agriculture and animal husbandry technology development Co., Ltd., Golmud Kangsheng potassium Industry Technology Development Co., Ltd., Qinghai Hongen Technology Co., Ltd., Haibei Chuyuan Biotechnology Development Co., Ltd., Minhe Lvbao forage Technology Development Co., Ltd., Qinghai Jingjie Magnesium Technology Co., Ltd Menyuan Yongxing ecological agriculture and animal husbandry development Co., Ltd., Qinghai Nanjia ecological environment development Co., Ltd. and Haibei Qilian Mountain green organic Biotechnology Development Co., Ltd. The data set contains five data tables, which are: green enterprises and products (2013), green enterprises and products (2014), green enterprises and products (2015), green enterprises and products (2016) and green enterprises and products (2017). The data table structure is similar. For example, there are three fields in the data sheet of green funded enterprises and products (2016): Field 1: enterprise name Field 2: Trademarks Field 3: product
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the total output value of agriculture, forestry, animal husbandry and fishery in all States, prefectures, cities and counties of Qinghai Province. The statistical data covers the period from 2008 to 2018. The data are divided into 8 states and cities according to Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data set contains 11 data tables, which are: total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2008), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2009), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2010), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2011), total output value of agriculture, forestry, animal husbandry and fishery of counties (prefectures and cities) (2012), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2013), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2014), total output value of agriculture, forestry, animal husbandry and fishery in Counties (prefectures and cities) (2015), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2016), total output value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2017), and The total output value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2018). The data table structure is similar. For example, the data table of total output value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2008) has five fields: Field 1: Agriculture Field 2: Forestry Field 3: Animal Husbandry Field 4: Fisheries Field 5: agriculture, forestry, animal husbandry and Fishery Services
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the added value of agriculture, forestry, animal husbandry and fishery in all States (prefectures, cities) and counties of Qinghai Province. The statistical data covers the period from 2008 to 2018. The data are divided into 8 states and cities according to Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data set contains 11 data tables, which are: added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2008), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2009), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2010), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2011), and added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2012), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2013), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2014), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2015), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2016), added value of agriculture, forestry, animal husbandry and fishery in counties (prefectures and cities) (2017), and The added value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2018). The data table structure is similar. For example, the data table of added value of agriculture, forestry, animal husbandry and fishery in (prefecture, city) counties (2008) has five fields: Field 1: Agriculture Field 2: Forestry Field 3: Animal Husbandry Field 4: Fisheries Field 5: agriculture, forestry, animal husbandry and Fishery Services
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the output and production of livestock products in different counties of Qinghai Province, and the statistical data covers the period from 2008 to 2018. The data are divided into 8 states and cities according to Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data set contains 9 data tables, which are: production of livestock products by county (2008), production of livestock products by county (2009), production of livestock products by county (2012), production of livestock products by county (2013), production of livestock products by county (2014) and production of livestock products by county (2015) , the output and production of livestock products by county (2016), the output and production of livestock products by county (2017) and the output and production of livestock products by county (2018) are similar in structure. For example, there are 18 fields in the table of livestock production by county (2015): Field 1: county name Field 2: total meat production Field 3: where: beef Field 4: pork Field 5: mutton Field 6: Poultry Field 7: rabbit meat Field 8: milk production Field 9: milk production Field 10: where: yak milk production Field 11: cashmere production Field 12: goat wool production Field 13: sheep wool production Field 14: where: fine wool production Field 15: semi fine wool production Field 16: honey production Field 17: egg production Field 18: where: egg production
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of the designated wholesale market of agricultural and livestock products in Qinghai Province of the Ministry of agriculture, covering the period from 2007 to 2018. The data are divided by multiple projects, such as Qinghai Xining Haihu Road vegetable and fruit comprehensive wholesale market, Qinghai Ledu County Eastern Qinghai vegetable comprehensive wholesale market, Qinghai Ping'an Haidong agricultural and sideline products wholesale market, Qinghai Golmud Qingken wholesale market, Qinghai Xining Renjie grain and oil wholesale market, and Lejiawan livestock products wholesale market. The data set contains 12 data tables, which are: designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2007), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2008), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2009), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2010), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2011), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2012), Designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2013), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2014), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2015), designated wholesale market of agricultural and livestock products of the Ministry of Agriculture (2016), designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2017), and designated wholesale market of agricultural and livestock products of the Ministry of agriculture (2018). The data table structure is similar. For example, the data sheet of the designated wholesale market for agricultural and livestock products (2007) of the Ministry of agriculture has four fields: Field 1: sequence number Field 2: market name Field 3: responsible person Field 4: contact number
AGRICULTURAL AND RURAL Department of Qinghai Province
This data set records the statistical data on the establishment of a national standardized production base of green food raw materials in Qinghai, covering the period from 2009 to 2017. The data are based on the national standardized production base of green food raw materials (horse tooth broad bean) in Huangyuan County, Qinghai Province, the national standardized production base of green food raw materials (broad bean) in Huangzhong County, Qinghai Province, the national standardized production base of green food raw materials (potato) in Huangzhong County, Qinghai Province, and the national standardized production base of green food raw materials (Brassica campestris) in Haomen farm, Qinghai Province. There are 4 projects in total. The data set contains nine data tables, which are: Qinghai Province established a national standardized production base of green food raw materials (2009), Qinghai Province established a national standardized production base of green food raw materials (2010), Qinghai Province established a national standardized production base of green food raw materials (2011), Qinghai Province established a national standardized production base of green food raw materials (2012), Qinghai Province established the national standardized production base of green food raw materials (2013), Qinghai Province established the national standardized production base of green food raw materials (2014), Qinghai Province established the national standardized production base of green food raw materials (2015), Qinghai Province established the national standardized production base of green food raw materials (2016), and Qinghai Province established the national standardized production base of green food raw materials (2017). The data table structure is similar. For example, Qinghai Province established a national standardized production base of green food raw materials (2009). The data table has five fields: Field 1: sequence number Field 2: base name Field 3: create company Field 4: base size Field 5: base range
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of "breeding in the West and breeding in the East" in Qinghai Province, covering the period from 2003 to 2005. The data are divided into 12 counties such as Huangzhong County, Huangyuan County, Datong County, Ping'an County, Xunhua County, Hualong County, Huzhu County, Tongren County and Ledu County, and 14 related reference years such as 2003 and 2004. The data set contains two data tables, namely, "West breeding and East breeding" table (2003-2004) and "West breeding and East breeding" table (2004-2005). The data table structure is similar. For example, the data table of "breeding in the West and breeding in the East" (2004-2005) has five fields: Field 1: Unit Field 2: total number of households Field 3: cattle and sheep fattening Field 4: Loan Status Field 5: fattening stock
AGRICULTURAL AND RURAL Department of Qinghai Province
This data set records the statistical data on the production of animal husbandry counties in Qinghai Province in the current year, covering the period from 2008 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 11 data tables, which are: the production situation of animal husbandry counties in the current year (2008), the production situation of animal husbandry counties in the current year (2009), the production situation of animal husbandry counties in the current year (2010), the production situation of animal husbandry counties in the current year (2011), and the production situation of animal husbandry counties in the current year (2012), Production situation of animal husbandry counties in the current year (2013), production situation of animal husbandry counties in the current year (2014), production situation of animal husbandry counties in the current year (2015), production situation of animal husbandry counties in the current year (2016), production situation of animal husbandry counties in the current year (2017), and production situation of animal husbandry counties in the current year (2018). The data table structure is similar. For example, there are five fields in the data sheet of the production situation of animal husbandry counties in the current year (2008): Field 1: large livestock Field 2: Pig Field 3: sheep Field 4: Poultry Field 5: Rabbit
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data on the production of fertile female animals in animal husbandry counties of Qinghai Province, covering the period from 2008 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 11 data tables, which are: production of fertile female livestock in animal husbandry counties (2008), production of fertile female livestock in animal husbandry counties (2009), production of fertile female livestock in animal husbandry counties (2010), production of fertile female livestock in animal husbandry counties (2011) and production of fertile female livestock in animal husbandry counties (2012) , production of fertile female livestock in animal husbandry counties (2013), production of fertile female livestock in animal husbandry counties (2014), production of fertile female livestock in animal husbandry counties (2015), production of fertile female livestock in animal husbandry counties (2016), production of fertile female livestock in animal husbandry counties (2017) and production of fertile female livestock in animal husbandry counties (2018) . the data table structure is similar. For example, the data table has three fields: Field 1: large livestock Field 2: Pig Field 3: sheep
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of meat production in animal husbandry counties in Qinghai Province, covering the period from 2008 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 11 data tables, which are: meat production by County in animal husbandry (2008), meat production by County in animal husbandry (2009), meat production by County in animal husbandry (2010), meat production by County in animal husbandry (2012), meat production by County in animal husbandry (2013), meat production by County in animal husbandry (2014), Table of meat production by County in animal husbandry (2015), table of meat production by County in animal husbandry (2016), table of meat production by County in animal husbandry (2017), table of meat production by County in animal husbandry (2018). The data table structure is similar. For example, the data sheet of meat production by County in animal husbandry (2008) has five fields: Field 1: large livestock Field 2: Pig Field 3: sheep Field 4: Poultry Field 5: Rabbit
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of stock production at the end of the period by county of animal husbandry in Qinghai Province, covering the period from 2008 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 14 data tables, which are: livestock production by county at the end of the period (2008), livestock production by county at the end of the period (2009), livestock production by county at the end of the period (2010), livestock production by county at the end of the period (2011) (Table 1), and livestock production by county at the end of the period (2011) (Table 2), livestock production by county at the end of the period (2012), livestock production by county at the end of the period (2013), livestock production by county at the end of the period (2014), livestock production by county at the end of the period (2015), livestock production by County at the end of the period (2016), and livestock production by county at the end of the period (2017), livestock production by county at the end of the period (2018). The data table structure is similar. For example, the data table of livestock production by county at the end of the period (2008) has 6 fields: Field 1: large livestock Field 2: Pig Field 3: sheep Field 4: Poultry Field 5: Rabbit Field 6: bees
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the statistical data of animal husbandry production and economic benefit indicators in Qinghai Province, covering the period from 2004 to 2006. The data are divided by the number of female animals that failed to reproduce in the year, the number of live piglets in the year, the total growth rate of livestock, the slaughter rate of livestock, the reproduction rate of female animals, the reproduction survival rate of female animals, etc. The data set contains 9 data tables, which are respectively: animal husbandry production and economic benefit indicators (Table 1) (2004), animal husbandry production and economic benefit indicators (Table 2) (2004), animal husbandry production and economic benefit indicators (Table 3) (2004), animal husbandry production and economic benefit indicators (Table 1) (2005) and animal husbandry production and economic benefit indicators (Table 2) (2005), animal husbandry production and economic benefit indicators (Table 3) (2005), animal husbandry production and economic benefit indicators (Table 1) (2006), animal husbandry production and economic benefit indicators (Table 2) (2006), animal husbandry production and economic benefit indicators (Table 3) (2006). The data table structure is similar. For example, animal husbandry production and economic benefit indicators (Table 1) The data sheet (2004) has three fields: Field 1: indicator Field 2: Units Field 3: year
AGRICULTURAL AND RURAL Department of Qinghai Province
The regional socio-economic data of typical mineral development projects include the economic and social data set of Gannan Tibetan Autonomous Prefecture (1949, 1953, 1965, 1970, 1978-2018), the economic and social data set of cooperative city of Gannan Tibetan Autonomous Prefecture (2000-2017), and the economic and social data set of Maqu County of Gannan Tibetan Autonomous Prefecture (2000-2017). The first row of data is the economic and social indicator, the second row is the indicator unit, and the first column is the year. The data sources are Gannan Tibetan Autonomous Prefecture statistical yearbook, cooperative city statistical yearbook and Maqu County statistical yearbook. The data is sorted and processed to form, and one person enters and one person checks to ensure the data quality. The data format is xlsx and the accuracy is years. It can be used to evaluate the comprehensive economic and social effects of typical mineral development areas in the super large gold belt of Qilian Mountain metallogenic belt in the northeast of Qinghai Tibet Plateau.
CHENG Hao
This data set is the statistical yearbook of Tibet Autonomous Region in different years, mainly including different social and economic statistical contents. The Tibet Statistical Yearbook is mainly based on statistical charts and analysis. It records the annual economic and social development comprehensively, systematically and continuously through highly intensive statistical data. Obtaining statistical data is a necessary prerequisite for economic and social research. With the help of Tibet statistical yearbook, it can provide data support for the social and Economic Research of Tibet Autonomous Region. Due to the lack of data in the Qinghai Tibet Plateau, it is difficult to find detailed socio-economic statistics on the network platform. This data set comes from the statistical departments of the Tibet Autonomous Region, which can provide support for relevant investigation and research.
FU Bin
The data set is based on the NPP simulated by 16 dynamic global vegetation models (TRENDY v8) under S2 Scenario (CO2+Climate) and represents the net primary productivity of the ecosystem. Data was derived from Le Quéré et al. (2019). The range of source data is global, and the Qinghai Tibet plateau region is selected in this data set. Original data is interpolated into 0.5*0.5 degree by the nearest neighbor method in space, and the original monthly scale is maintained in time. The data set is the standard model output data, which is often used to evaluate the temporal and spatial patterns of gross primary productivity, and compared with other remote sensing observations, flux observations and other data.
STEPHEN Sitch
The data set is based on the GPP simulated by 16 dynamic global vegetation models (TRENDY v8) under S2 Scenario (CO2+Climate) and represents the gross primary productivity of the ecosystem. Data was derived from Le Qu é r é Et al. (2019). The range of source data is global, and the Qinghai Tibet plateau region is selected in this data set. Original data is interpolated into 0.5*0.5 degree by the nearest neighbor method in space, and the original monthly scale is maintained in time. The data set is the standard model output data, which is often used to evaluate the temporal and spatial patterns of gross primary productivity, and compared with other remote sensing observations, flux observations and other data.
STEPHEN Sitch
This dataset includes the basic information of salt lakes in Qinghai, Xinjiang Uygur Autonomous Region, Tibet Autonomous Region, Inner Mongolia Autonomous Region and other regions (Gansu, Shaanxi, Shanxi, Jilin, Liaoning). It includes yhid, yhbsm, yhmcdm, yhmc, shxlx, lsxian, lsshi, lsshen, cysj, pjss, zdss, MJ, HMGC and Lake area_ Minimum x value (hqfw)_ X1) Lake area_ Maximum x value (hqfw)_ X2) Lake elevation_ Minimum y value (hqfw)_ Y1) Lake area_ Maximum y value (hqfw)_ Y2), development status (kfzg), remarks (BZ) and other information. Mainly through the standardization of historical data and actual field survey data. There are 2607 records in the data set, and they are fully open for sharing.
WANG Jianping, CHEN Liang
The data set records the main economic benefit indexes of Qinghai Province, and the data are divided according to the main economic benefit indexes. 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 Main economic benefit index 1985-1998.xls, Main economic benefit index 1985-1999.xls, The main economic benefit index is 1985-2000.xls. The data table structure is the same. For example, there are five fields in the business climate survey product sales climate index 2000-2001 data table Field 1: Indicators Field 2: Unit Field 3: 1985 Field 4: 1990 Field 5: 1995
Qinghai Provincial Bureau of Statistics
The data set recorded the output of major industrial products in Qinghai province from 1952 to 2020. Data by the cotton yarn, cotton, wool, wool, blankets, carpets, industrial, shoes, machine made paper and cardboard, crude salt, edible vegetable oil, matches, soap, synthetic detergent, cigarettes, liquor, beer, daily pure aluminum products, raw coal, crude oil, crude oil processing capacity, electricity, steel, aluminium, pure silicon, ferroalloy, wood, copper concentrate containing copper, nickel concentrate containing nickel, zinc concentrate Zinc and lead concentrates containing lead, caustic soda, sulfuric acid, sodium alum, borax, calcium carbide, synthetic ammonia, chemical fertilizer, metal cutting machine tools, automobiles, internal combustion engines, agricultural trailers, bulldozers, milk separator, telephone sets, cement, asbestos division. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 30 data tables, which are: Main years Main industrial product output 1952-1998. XLS Major years Output of major industrial products 1952-1999. XLS Main years Output of major industrial products 1952-2000. XLS Major years Output of major industrial products 1952-2001. XLS Main years Output of main industrial products 1952-2002. XLS Main years Main industrial product output 1952-2003. XLS Main years Output of main industrial products 1952-2004. XLS Main years Main industrial product output 1978-2006. XLS Main years Main industrial product output 1978-2007. XLS Main years Main industrial products output 1978-2008. XLS Main years Main industrial product output 1978-2005. XLS Main years Main industrial product output 1990-2009. XLS Main years Main industrial product output 1990-2010. XLS Total production of major industrial products 1998. XLS Total production of major industrial products 1999. XLS Total production of major industrial products in 2000. XLS Main industrial product output 2000-2001. XLS Main industrial product output 2001-2002. XLS Main industrial product output 2002-2003. XLS Main industrial product output 2004. XLS Output of main industrial products 2006-2011. XLS Output of major industrial products 2008-2013. XLS Output of major industrial products 2008-2014. XLS Output of major industrial products 2010-2015. XLS Main years Main industrial product output 2010-2016. XLS Output of major industrial products 2012-2017. XLS Output of major industrial products 2013-2018. XLS Main years Main industrial product output 2008-2012 XLS, Output of Major industrial Products in Qinghai Province 2015-2020.xLS, Output of major industrial products in Qinghai Province 2015-2020-1. XLS The data table structure is the same. For example, output of major industrial products 2000-2001 data table has 3 fields: Field 1: Product name Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of the registration of major scientific and technological achievements in Qinghai province from 1998 to 2020. The data are divided according to the achievement level, the application industry, the application situation, the number of projects with statistical economic benefits, and the economic benefits achieved in the current year after application. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 25 data tables, which are: Basic information of major scientific and technological achievements registration in Province.xls 1998 Basic information on registration of major scientific and technological achievements in Province.xls 1999 Basic information on registration of major scientific and technological achievements in Province.xls Basic information of provincial major scientific and technological achievements registration 2001. XLS Basic information on registration of major scientific and technological achievements in Province.xls 2002 Provincial major scientific and technological achievements registration in 2003. XLS Provincial major scientific and technological achievements registration in 2004. XLS Basic statistics on registration of major scientific and technological achievements 2004-2005. XLS The registration of major scientific and technological achievements in The province 2005-2006. XLS Basic information on registration of major scientific and technological achievements in The province 2006-2007. XLS Basic information of provincial major scientific and technological achievements registration 2008. XLS Basic information of provincial major scientific and technological achievements registration 2009. XLS Basic information of provincial major scientific and technological achievements Registration 2010. XLS Basic information of provincial major scientific and technological achievements registration 2011. XLS Basic information on the registration of major scientific and technological achievements in The province Basic information on registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province The registration of major scientific and technological achievements in The province in 2015. XLS Basic information of registration of major scientific and technological achievements in The province in 2016 Basic information on registration of major scientific and technological achievements in The province in 2017. XLS The registration of major scientific and technological achievements in The province in 2018. XLS The registration of major scientific and technological achievements in The province Basic information of provincial major scientific and technological achievements registration 2020. XLS The data table structure is the same. For example, there are five fields in the 2001 data table of the registration of major scientific and technological achievements in The province: Field 1: Category Field 2: Total Field 3: Research institution Field 4: Tertiary institution Field 5: Enterprise
Qinghai Provincial Bureau of Statistics
The data set records the situation of special care and social relief in Qinghai Province, and the data is divided according to the situation of special care and social relief 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 Special care and social relief in the whole province, 1998.xls, Special care and social relief in the whole province, 1999.xls, The situation of special care and social relief in the whole province was analyzed in 2000.xls. The data table structure is the same. For example, there are five fields in the data table of the province's preferential care and social relief in 1998 Field 1: preferential treatment object Field 2: Unit Field 3: Total Field 4: social relief target Field 5: Unit
Qinghai Provincial Bureau of Statistics
The data set records the comprehensive sports data of Qinghai Province, and the data are divided according to the comprehensive sports data. 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 Sports comprehensive data 2002.xls Sports comprehensive data 2003.xls Sports comprehensive data 2004.xls Sports comprehensive data 2005.xls Sports comprehensive information 2006.xls Sports comprehensive data 2007.xls Sports comprehensive data 2008.xls The structure of the. XLS data table in 2009 is the same. For example, there are five fields in the data table of sports comprehensive information (2003) Field 1: year Field 2: Total Field 3: direct Field 4: place Field 5: Xining City
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of social welfare and minimum living security in Qinghai Province, and the data is divided according to the basic situation of social welfare and minimum living security. 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 13 tables Basic information of social welfare institutions and enterprises and others 1998.xls Basic information of social welfare institutions and enterprises and others, 1999.xls Basic information of social welfare institutions and enterprises and others 2000-2001.xls Basic information of social welfare institutions and enterprises and others, 2001-2002.xls Basic information of social welfare institutions and enterprises and others 2001-2003.xls Basic information of social welfare institutions and enterprises and others 2004-2005.xls Basic information of social welfare institutions and enterprises and others 2005-2006.xls Basic information of social welfare institutions and enterprises and others 2006-2007.xls Basic information of social welfare institutions and enterprises and others 2006-2008.xls Basic information of social welfare institutions and enterprises and others 2007-2009.xls Basic information of social welfare institutions and enterprises and others 2008-2010.xls Basic information of social welfare institutions and enterprises and others 2009-2011.xls The basic situation of social welfare and minimum living allowance from 2011 to 2012. XLS data table structure is the same. For example, there are three fields in the basic information of social welfare and subsistence allowances from 2011 to 2012 Field 1: Project Field 2: 2011 Field 3: 2012
Qinghai Provincial Bureau of Statistics
The data set records the retail price of commodities and the price index of agricultural means of production in Qinghai Province. The data is divided according to the retail price of commodities and the price index of agricultural means of production in 1998. 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 five data tables Retail price of commodities and price index of agricultural means of production in the whole province, 1998.xls The retail price of commodities and the price index of agricultural means of production in the whole province, 1999.xls Retail price of commodities and price index of agricultural means of production in the whole province, 2000.xls Commodity retail price and agricultural means of production price index 2001.xls The retail price of commodities and the price index of agricultural means of production in 2002. XLS have the same data table structure. For example, there are four fields in the data table of retail price of commodities and price index of agricultural means of production in 1998 Field 1: Category Field 2: Province Field 3: City Field 4: Rural
Qinghai Provincial Bureau of Statistics
The data set records the situation of village level health organizations in Qinghai Province, and the data are divided by administrative districts and counties. 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 The situation of rural health organizations in the whole province, 1998.xls, The situation of rural health organizations in the whole province, 1999.xls, The situation of rural health organizations in the whole province was analyzed in 2000.xls. The data table structure is the same. For example, there are four fields in the 1998 data sheet of rural health organizations in the whole province Field 1: Project Field 2: 1998 Field 3: Project Field 4: 1999
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of science and technology activities in Qinghai Province, and the data is divided according to the basic situation of science and technology activities 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 10 tables Basic situation of science and technology activities in the whole province, 2002-2006.xls Basic situation of science and technology activities in the whole province, 2002-2007.xls Basic situation of science and technology activities in the whole province 2005-2008.xls Science and technology activities of the whole province, 2011-2012.xls Science and technology activities of the whole province, 2012-2013.xls Science and technology activities of the whole province, 2013-2014.xls Science and technology activities of the whole province, 2014-2015.xls Science and technology activities of the whole province, 2015-2016.xls Science and technology activities of the whole province, 2016-2017.xls Science and technology activities of the whole province in 2017. XLS, the data table structure is the same. For example, there are six fields in the 2002-2006 data table of the basic situation of science and technology activities of the whole province Field 1: Indicators Field 2: 2002 Field 3: 2003 Field 4: 2004 Field 5: 2005 Field 6: 2006
Qinghai Provincial Bureau of Statistics
The data set records the completed housing area of Qinghai Province, and the data is divided according to the completed housing area of 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 The area of completed houses in the whole province from 1996 to 1998.xls, The area of completed houses in the whole province from 1997 to 1999.xls, The area of completed houses in the whole province was from 1997 to 2000.xls. The data table structure is the same. For example, there are eight fields in the data table of the completed housing area of the whole province from 1996 to 1998 Field 1: Infrastructure Field 2: update Field 3: Other Investments Field 4: real estate development Field 5: urban collective Field 6: rural collective Field 7: Town private Field 8: rural private sector
Qinghai Provincial Bureau of Statistics
The data set records the price index of agricultural means of production in Qinghai Province and the investigated counties. The data are divided according to the retail prices of commodities and the price index of agricultural means of production in the investigated cities and counties. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 30 data tables The price index of agricultural means of production of the whole province and investigated counties in 2003.xls The price index of agricultural means of production of the whole province and investigated counties in 2004.xls The price index of agricultural means of production of the whole province and investigated counties in 2005.xls The price index of agricultural means of production of the whole province and investigated counties in 2006.xls The price index of agricultural means of production of the whole province and investigated counties 2007.xls Price index of agricultural means of production of the whole province and investigated counties, 2008.xls Price index of agricultural means of production of the whole province and investigated counties, 2009.xls Price index of agricultural means of production of the whole province and investigated counties, 2010.xls Price index of agricultural means of production of the whole province and investigated counties, 2011.xls Price index of agricultural means of production of the whole province and investigated counties, 2012.xls Price index of agricultural means of production of the whole province and investigated counties, 2013.xls Price index of agricultural means of production of the whole province and investigated counties, 2014.xls Price index of agricultural means of production of the whole province and investigated counties, 2015.xls Price index of agricultural means of production of the whole province and investigated counties, 2016.xls Price index of agricultural means of production of the whole province and investigated counties, 2017.xls Price index of agricultural means of production of the whole province and investigated counties, 2018.xls Fixed base price index of agricultural means of production of the whole province and investigated counties, 2006.xls Fixed base price index of agricultural means of production of the whole province and investigated counties 2007.xls Fixed base price index of agricultural means of production of the whole province and investigated counties, 2008.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed, 1998.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed, 1999.xls Retail prices of commodities and price index of agricultural means of production in cities and counties surveyed in 2000.xls Price index of commodity retail and agricultural means of production in cities and counties in 2001.xls Price index of commodity retail and agricultural means of production in cities and counties in 2002.xls Price base index of agricultural means of production of the whole province and investigated counties, 2009.xls Price base index of agricultural means of production of the whole province and investigated counties, 2010.xls The price fixed base index of agricultural means of production of the whole province and the investigated counties, 2011.xls Price base index of agricultural means of production of the whole province and investigated counties, 2012.xls Price base index of agricultural means of production of the whole province and investigated counties, 2013.xls The structure of 2014. XLS data table is the same. For example, there are seven fields in the 1999 data table of commodity retail prices and agricultural means of production price index of cities and counties surveyed Field 1: Province Field 2: Datong County Field 3: Ledu District Field 4: safe area Field 5: Haiyan County Field 6: Tongren County Field 7: Gonghe County
Qinghai Provincial Bureau of Statistics
The data set records the price base index of agricultural means of production in Qinghai Province and the investigated counties (districts). The data is divided according to the price base index of agricultural means of production in Qinghai Province and the investigated counties (districts). 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 Price base index of agricultural means of production of the whole province and investigated counties (districts) (2015). Xls Price base index of agricultural means of production of the whole province and investigated counties (districts) (2016). Xls Price base index of agricultural means of production in the whole province and investigated counties (districts) (2017). Xls Price base index of agricultural means of production in the whole province and counties (districts) surveyed (2017). XLS, The data table structure is the same. For example, there are seven fields in the price base index of agricultural means of production (2015) data table of the whole province and the investigated counties (districts) Field 1: Province Field 2: Datong County Field 3: Ledu District Field 4: safe area Field 5: Haiyan County Field 6: Tongren County Field 7: Gonghe County
Qinghai Provincial Bureau of Statistics
The data set records the commodity retail price index of Qinghai Province and the investigated cities and counties, and the data is divided by the commodity retail price index of Qinghai Province and the investigated cities and counties. 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 Commodity retail price index of the whole province, cities and counties surveyed, 2011.xls Commodity retail price index of the whole province, cities and counties in 2012.xls Commodity retail price index of the whole province, cities and counties surveyed, 2013.xls Commodity retail price index of the whole province, cities and counties in 2014.xls Commodity retail price index of the whole province and the investigated cities and counties, 2015.xls Commodity retail price index of the whole province, cities and counties surveyed, 2016.xls Commodity retail price index of the whole province and the investigated cities and counties, 2017.xls Commodity retail price index of the whole province, cities and counties in 2018. XLS, with the same data table structure. For example, there are 12 fields in the data table of commodity retail price index (2011) of the whole province and the investigated cities and counties Field 1: Province Field 2: Xining City Field 3: Datong County Field 4: Ledu District Field 5: Ping An District Field 6: Haiyan County Field 7: Tongren County Field 8: Gonghe County Field 9: Maqin County Field 10: Yushu City Field 11: Golmud City Field 12: Delingha City
Qinghai Provincial Bureau of Statistics
This data set records the commodity retail price fixed base index of Qinghai Province and the investigated cities and counties, and the data is divided according to the commodity retail price fixed base index of Qinghai Province and the investigated cities and counties. 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 Commodity retail price base index of the whole province, cities and counties surveyed, 2011.xls Commodity retail price base index of the whole province, cities and counties surveyed, 2012.xls Commodity retail price base index of the whole province, cities and counties surveyed, 2013.xls Commodity retail price base index of the whole province, cities and counties in 2014.xls Commodity retail price base index of the whole province and investigated cities and counties, 2015.xls Commodity retail price base index of the whole province, cities and counties surveyed, 2016.xls Commodity price survey of the whole province in 2017 Commodity retail price base index of the whole province and the cities and counties surveyed in 2018.xls. The data table structure is the same. For example, there are 12 fields in the 2011 data table of commodity retail price base index of the whole province and the cities and counties surveyed Field 1: Province Field 2: Xining City Field 3: Datong County Field 4: Ledu District Field 5: Ping An District Field 6: Haiyan County Field 7: Tongren County Field 8: Gonghe County Field 9: Maqin County Field 10: Yushu City Field 11: Golmud City Field 12: Delingha City
Qinghai Provincial Bureau of Statistics
The data set records the consumer price index of the whole province and the investigated cities and counties in Qinghai Province. The data is divided according to the consumer price index of the investigated cities and counties. 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 Consumer price index of the whole province, cities and counties (2011). Xls Consumer price index of the whole province, cities and counties (2012). Xls Consumer price index of the whole province, cities and counties (2013). Xls Consumer price index of the whole province, cities and counties (2014). Xls Consumer price index of the whole province, cities and counties (2015). Xls Consumer price index of the whole province, cities and counties (2016). Xls Consumer price index of the whole province, cities and counties (2017). Xls Consumer price index of the whole province, cities and counties (2018). XLS. The data table structure is the same. For example, there are four fields in the 1998 CPI data table of the surveyed cities and counties Field 1: Category Field 2: Xining City Field 3: Golmud City Field 4: Ledu County
Qinghai Provincial Bureau of Statistics
This data set records the basic situation of technological development of large and medium-sized state-owned industrial enterprises in Qinghai Province. The data is divided according to the basic situation of technological development of large and medium-sized state-owned industrial enterprises 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 two data tables Basic situation of technological development of large and medium-sized state-owned industrial enterprises in the whole province, The basic situation of technological development of large and medium-sized state-owned industrial enterprises in the whole province, 1999.xls. The data table structure is the same. For example, the basic situation of technological development of large and medium-sized state-owned industrial enterprises in the province in 1998 has five fields Field 1: Category Field 2: number of enterprises with technology development institutions Field 3: person engaged in scientific and technological activities Field 4: Scientists and engineers Field 5: enterprise technology development fund raising amount
Qinghai Provincial Bureau of Statistics
The data set records the main economic indicators of the industrial sampling survey under the scale of Qinghai Province. The data is divided according to the main economic indicators of the industrial sampling survey under the scale of 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 15 tables Main economic indicators of sampling survey of industries below Designated Size in the whole province 1998-2003.xls Main economic indicators of sampling survey of industries below Designated Size in the whole province, 1998-2005.xls Main economic indicators of sampling survey of industries below Designated Size in the whole province, 1999-2006.xls The main economic indicators of the sample survey of industries below Designated Size in the whole province, 1999-2007.xls The main economic indicators of the provincial sample survey of industries below Designated Size from 2000 to 2008.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2000-2009.xls The main economic indicators of the provincial sample survey of industries below Designated Size 2004-2010.xls The main economic indicators of the sample survey of the industries below the designated scale in the whole province, 2004.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2007-2011.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2009-2012.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2009-2013.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2009-2014.xls Main economic indicators of Provincial sampling survey of industries below Designated Size 2010-2015.xls Main economic indicators of provincial sample survey of industries below Designated Size 2010-2016.xls The main economic indicators of the provincial sample survey of industries below the designated size are 2012-2017.xls. The data table structure is the same. For example, there are 10 fields in the 1999-2007 data table of the main economic indicators of the provincial sample survey of industries below designated size Field 1: indicator name Field 2: 1999 Field 3: year 2000 Field 4: 2001 Field 5: 2002 Field 6: 2003 Field 7: 2004 Field 8: 2005 Field 9: 2006 Field 10: 2007
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets investment and bank loan balance of Qinghai Province, and the data is divided according to the fixed assets investment and bank loan balance of 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 Fixed assets investment and bank loan balance of the whole province, 1985-1998.xls, Fixed assets investment and bank loan balance of the whole province, 1985-1999.xls, The fixed assets investment and bank loan balance of the whole province, 1985-2000.xls. The data table structure is the same. For example, there are three fields in the data table of fixed assets investment and bank loan balance of the whole province from 1985 to 1998 Field 1: year Field 2: amount completed Field 3: year on year growth
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of energy consumption survey of highway transportation in Qinghai Province, and the data is divided according to the basic situation of energy consumption survey of highway transportation 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 seven data tables Survey on energy consumption of provincial highway transportation (2010). Xls Survey on energy consumption of provincial highway transportation (2011). Xls Survey on energy consumption of provincial highway transportation (2012). Xls Survey on energy consumption of provincial highway transportation (2013). Xls Survey on energy consumption of provincial highway transportation (2014). Xls Survey on energy consumption of provincial highway transportation (2015). Xls Survey on energy consumption of provincial highway transportation (2016). XLS. The data table structure is the same. For example, there are five fields in the data table of the provincial highway transportation energy consumption survey (2010) Field 1: Indicators Field 2: item Field 3: total number of operating vehicles Field 4: number of vehicles surveyed Field 5: total fuel consumption
Qinghai Provincial Bureau of Statistics
The data set records the ex factory price of industrial products and the purchase price index of raw materials, fuel and power in Qinghai Province. The data is divided according to the ex factory price of industrial products and the purchase price index of raw materials, fuel and power 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 four tables Ex factory price of industrial products and purchase price index of raw materials, fuel and power in the whole province, 1989-1998.xls Ex factory price of industrial products and purchase price index of raw materials, fuel and power in the whole province, 1989-1999.xls Ex factory price of industrial products and purchase price index of raw materials, fuel and power in the whole province, 1989-2000 (Table 1). Xls The ex factory price of industrial products and the purchase price index of raw materials, fuel and power in the whole province from 1989 to 2000 (Table 2). The structure of XLS data table is the same. For example, there are seven fields in the data sheet of the provincial ex factory price of industrial products and the purchase price index of raw materials, fuel and power from 1989 to 1998 Field 1: year Field 2: total index Field 3: Light Industry Field 4: heavy industry Field 5: production data Field 6: means of living Field 7: purchase price index of raw materials, fuel and power
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of industrial and commercial enterprises in Qinghai Province, and the data are divided by economic 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 six tables Basic situation of industrial and commercial enterprises in the whole province (by industry, 1999. XLS) Basic situation of industrial and commercial enterprises in the whole province (classified by economic type, 1999. XLS) Basic information of industrial and commercial enterprises in the whole province (by industry) 1998.xls Basic situation of industrial and commercial enterprises in the whole province (by economic type) 1998.xls Basic information of industrial and commercial enterprises in the province (by industry) 2000.xls Basic information of industrial and commercial enterprises in the whole province (by economic type) basic information of industrial and commercial enterprises in the whole province in 2000. XLS data table structure is the same. For example, the basic information of industrial and commercial enterprises (by industry) in 2000 has four fields Field 1: economic type Field 2: number of enterprises at the end of the year Field 3: where: corporate enterprise Field 4: registered capital
Qinghai Provincial Bureau of Statistics
The data set records the industrial accidents and accident categories of industrial, transportation and construction enterprises in Qinghai Province. The data is divided according to the industrial accidents and accident categories of industrial, transportation and construction enterprises 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 five data tables Industrial accidents of industrial, transportation and construction enterprises in the whole province by industry and accident category, 1998.xls Industrial accidents of industrial, traffic and construction enterprises in the whole province by industry and accident category, 1999.xls Industrial accidents of industrial, transportation and construction enterprises in the province by industry and accident category, 2000.xls Industrial accidents of industrial, transportation and construction enterprises in the whole province by industry and accident category, 2001.xls The structure of the. XLS data sheet in 2002 is the same. For example, there are three fields in the 2001 data sheet of industrial accidents by industry and accident category in the province's industrial, transportation and construction enterprises Field 1: Project Field 2: Death Field 3: serious injury
Qinghai Provincial Bureau of Statistics
The data set records the work-related casualties of the industrial, transportation and construction enterprises in Qinghai Province. The data is divided according to the work-related casualties of the industrial, transportation and construction enterprises 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 Statistics of work-related injuries and deaths in the whole province, The situation of work-related casualties in the whole province's industrial, transportation and construction enterprises, 1999.xls, The situation of work-related injuries and deaths in the province's industrial, transportation and construction enterprises in 2000.xls. The data table structure is the same. For example, there are six fields in the 1998 data sheet of work-related casualties in the province's labor, transportation and construction enterprises Field 1: company name Field 2: Total Field 3: state owned enterprises Field 4: collective enterprise Field 5: rural collective enterprises Field 6: other
Qinghai Provincial Bureau of Statistics
The data set records the main economic statistical indicators of Qinghai Province in each month, and the data is divided according to the main economic statistical indicators of Qinghai Province in each month. 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 main economic statistical indicators of the whole province in 1999.xls, The main economic statistics index of the whole province in each month is 2000.xls. The data table structure is the same. For example, there are eight fields in the 1999 data table of the main economic statistics indicators of the whole province Field 1: Indicators Field 2: Unit Field 3: January Field 4: February Field 5: March Field 6: April Field 7: May Field 8: June Field 9: July Field 10: August Field 11: September Field 12: October Field 13: November Field 14: December
Qinghai Provincial Bureau of Statistics
The data set records the number of Party members (members) of all parties in Qinghai Province, and the data is divided according to the number of Party members (members) of all parties 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 four tables The number of Party members (members) of all parties in the province, 1990-1998.xls The number of Party members (members) of all parties in the province, 1990-1999.xls Number of Party members (members) of all parties in the province, 1990-2000.xls Number of Party members (members) of all parties in the province, 1990-2001.xls The number of Party members (members) of all parties in the province from 1990 to 2002.xls. The data table structure is the same. For example, there are 11 fields in the 1990-1998 data table of the number of Party members (members) of all parties in the province Field 1: party name Field 2: Unit Field 3: 1990 Field 4: 1991 Field 5: 1992 Field 6: 1993 Field 7: 1994 Field 8: 1995 Field 9: 1996 Field 10: 1997 Field 11: 1998
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets investment, composition and completion of local projects in Qinghai Province, and the data is divided by the fixed assets investment of local projects 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 9 data tables Fixed assets investment of local projects in the whole province, 1985-1998.xls Fixed assets investment of local projects in the whole province, 1985-1999.xls Fixed assets investment of local projects in the whole province, 1985-2000.xls Fixed assets investment of local projects in the whole province, 1990-2001.xls Composition of fixed assets investment of local projects in the whole province, 1985-1998.xls Composition of fixed assets investment of local projects in the whole province, 1985-1999.xls Composition of fixed assets investment of local projects in the whole province, 1985-2000.xls Composition of fixed assets investment of local projects in the whole province, 1990-2001.xls The structure of the. XLS data sheet in 2002 is the same. For example, there are eight fields in the data table of fixed assets investment of local projects in the province from 1985 to 1998 Field 1: Indicators Field 2: 1985 Field 3: 1990 Field 4: 1994 Field 5: 1995 Field 6: 1996 Field 7: 1997 Field 8: 1998
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of the number of private enterprises in urban and rural areas of Qinghai Province, and the data is divided by economic 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 three data tables The basic situation of the number and number of private enterprises in urban and rural areas of the province, 1998.xls, The basic situation of the number and number of private enterprises in urban and rural areas of the province, 1999.xls, The basic situation of the number and number of private enterprises in urban and rural areas of the province, 2000.xls. The data table structure is the same. For example, the basic situation of the number of private enterprises in urban and rural areas of the province in 1998 has four fields: Field 1: Project Field 2: number of households Field 3: Investor Field 4: number of employees
Qinghai Provincial Bureau of Statistics
The data set records the volume and value table of main export commodities of Qinghai Province (Xining customs), and the data is divided by the name of main export commodities of Qinghai Province (Xining customs). 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 Volume and value of main export commodities of the whole province (Xining customs) (1.xls, 1999), Table of import volume and value of main commodities of the whole province (Xining customs) (2.xls, 1999), The total import and export value of the whole province (Xining customs) in 1999.xls. The data table structure is similar. For example, the main export volume and value table of the whole province (Xining customs) has four fields in 1999 Field 1: commodity name Field 2: unit of measurement Field 3: quantity Field 4: value of goods
Qinghai Provincial Bureau of Statistics
The data set records the whole social labor productivity of Qinghai Province, and the data is divided according to the whole social labor productivity. 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 Labor productivity of the whole society 1952-1998.xls, Labor productivity of the whole society 1952-1999.xls, Labor productivity of the whole society 1952-2000.xls. The data table structure is the same. For example, there are five fields in the data table of labor productivity of the whole society from 1952 to 1998 Field 1: indicator name Field 2: Unit Field 3: 1952 Field 4: 1978 Field 5: 1990
Qinghai Provincial Bureau of Statistics
The data set records the composition of fixed assets investment and the situation of funds in Qinghai Province. The data is divided according to the composition of fixed assets investment. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 18 data tables Composition of fixed assets investment in the whole society, 1985-1998.xls Composition of fixed assets investment of the whole society 1985-1999.xls Composition of fixed assets investment of the whole society 1985-2000.xls Composition of fixed assets investment of the whole society in Main Years 1990-2001.xls Completion of fixed assets investment in the whole society 2002.xls The composition of fixed assets investment and the availability of funds in the whole society, 2000-2006.xls Composition of fixed assets investment and fund availability in the whole society, 2000-2007.xls Composition of fixed assets investment and capital availability in the whole society, 2000-2008.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2009.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2010.xls Composition and capital sources of fixed assets investment in the whole society, 2000-2011.xls Composition and capital sources of fixed assets investment in the whole society, 2000-2012.xls Composition and capital sources of fixed assets investment in the whole society, 2000-2013.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2014.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2015.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2016.xls Composition of fixed assets investment and capital sources of the whole society, 2000-2017.xls The fixed assets investment and capital sources of the whole society constitute. XLS from 2000 to 2018. The data table structure is the same. For example, there are 10 fields in the 1985-1998 data table of the investment in fixed assets of the whole society Field 1: Construction and installation engineering Field 2: equipment tools Field 3: other Field 4: source of funds Field 5: national budget Field 6: domestic loans Field 7: Bonds Field 8: utilization of foreign capital Field 9: self financing Field 10: other
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets investment of the whole society in Qinghai Province, and the data is divided according to the fixed assets investment of the whole society. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 22 data tables, which are: Fixed assets investment of the whole society, 1985-1998.xls Fixed assets investment of the whole society, 1985-1999.xls Fixed assets investment of the whole society, 1985-2000.xls Major years: fixed assets investment of the whole society 1990-2001.xls Fixed assets investment of the whole society 2000-2001.xls Fixed assets investment of the whole society 2001-2002.xls Social fixed assets investment 2001-2005.xls Fixed assets investment of the whole society 2001-2006.xls Social fixed assets investment 2001-2007.xls Investment in fixed assets of the whole society 2002-2003.xls Fixed assets investment of the whole society 2004.xls Fixed assets investment of the whole society 2005-2008.xls Fixed assets investment of the whole society 2005-2009.xls Fixed assets investment of the whole society 2005-2010.xls Fixed assets investment of the whole society 2006-2011.xls Fixed assets investment of the whole society 2008-2012.xls Fixed assets investment of the whole society, 2008-2013.xls Fixed assets investment of the whole society 2008-2014.xls Fixed assets investment of the whole society 2009-2015.xls Fixed assets investment of the whole society 2010-2016.xls Fixed assets investment of the whole society 2010-2017.xls The structure of the. XLS data sheet of the whole society's fixed asset investment in 2018 is the same. For example, there are eight fields in the data table of fixed assets investment of the whole society from 1985 to 1998 Field 1: Indicators Field 2: 1985 Field 3: 1990 Field 4: 1994 Field 5: 1995 Field 6: 1996 Field 7: 1997 Field 8: 1998
Qinghai Provincial Bureau of Statistics
The data set records the total social fixed asset investment in Qinghai Province (divided by economic type), and the data is divided by economic type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Total investment in fixed assets (by type of economy) 1985-2001. XLS Total investment in fixed assets (by type of economy) 1985-2002. XLS Total investment in fixed assets (by type of economy) 1985-2003. XLS Total investment in fixed assets (by type of economy) 1985-2005. XLS Total investment in fixed assets (by economic type) 1985-2006. XLS Total investment in fixed assets (by economic type) 1985-2007. XLS Total Investment in fixed assets (by economic type) 1985-2008. XLS Total Investment in fixed assets (by economic type) 1990-2009. XLS Total Investment in fixed assets (by type of economy) 1990-2010 XLS Total Investment in fixed assets (by economic type) 1990-2011. XLS Total Investment in fixed assets (by type of economy) 1990-2012 XLS Total Investment in fixed assets (by economic type) 1990-2013. XLS Total Investment in fixed assets (by economic type) 1990-2014. XLS Total Investment in fixed assets (by type of economy) 1990-2015 XLS Total Investment in fixed assets (by type of economy) 1990-2016 XLS Total Investment in fixed assets (by type of economy) 2000-2017. XLS Total Investment in fixed assets (by type of economy) 2000-2018 XLS Total Investment in fixed assets (by type of economy) 2000-2020 XLS. The data table structure is the same. For example, the data table of the total social fixed asset investment by economic type from 1985 to 2001 has five fields: Field 1: indicator Field 2: Total Field 3: State-owned economy Field 4: Collective economy Field 5: Individual economy
Qinghai Provincial Bureau of Statistics
The data set records the fixed assets of the whole society in Qinghai Province (according to the source and composition of funds), and the data is divided according to the source and composition of funds. 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 Fixed assets of the whole society (by capital source and composition) 1985-2001.xls Fixed assets of the whole society (by capital source and composition) 1985-2002.xls Fixed assets investment of the whole society (by capital source and composition) 1985-2003.xls Fixed assets investment of the whole society (by capital source and composition) 1985-2005.xls The data table structure is the same. For example, there are five fields in the data table of fixed assets of the whole society from 1985 to 2001 Field 1: year Field 2: national budget funds Field 3: domestic loans Field 4: utilization of foreign capital Field 5: self financing
Qinghai Provincial Bureau of Statistics
The data set records the number of production units and total industrial output value of all industrial enterprises at or above the township level in Qinghai Province. The data is divided by the number of production units and total industrial output value of all industrial enterprises at or above the township level. 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 production units and total industrial output value of all industrial enterprises at or above the township level, 1998.xls. For example, there are five fields in the 1998 data sheet of the number of production units and gross industrial output value of all industrial enterprises at or above the township level Field 1: Indicators Field 2: (new regulation on constant price) Field 3: (new regulations on current year price) Field 4: (new regulations on current year price) Field 5: (new regulations on current year price)
Qinghai Provincial Bureau of Statistics
The data set records the main economic indicators of all state-owned and non-state-owned industrial enterprises with an annual product sales revenue of more than 5 million yuan in Qinghai Province. The data is divided according to the main economic indicators of all state-owned and non-state-owned industrial enterprises with an annual product sales revenue of more than 5 million yuan. 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 Main economic indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan, Main economic indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan, The main economic indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan, 2000.xls. The data table structure is the same. For example, the main economic indicators of all state-owned and non-state-owned industrial enterprises with annual sales revenue of more than 5 million yuan in 1998 have five fields: Field 1: Category Field 2: number of enterprise units Field 3: loss making enterprises Field 4: gross industrial output value (new regulation on current price) Field 5: gross industrial output value (new regulation of 90 price)
Qinghai Provincial Bureau of Statistics
The data set records the number of units and total output value of all industrial enterprises in Qinghai Province, and the data is divided by the output of main industrial products of each province (city, district). 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 total industrial output value of each province (city, district) in 1998.xls The total industrial output value of each province (city, district) in 1999.xls Index of total industrial output value of provinces (cities, districts) in 1998.xls Index of total industrial output value of each province (city, district), 1999.xls Unit number and total output value of all industrial enterprises 2000-2001.xls Unit number and total output value of all industrial enterprises 2001-2002.xls Unit number of all industrial enterprises and total output value 2002.xls Unit number and total output value of all industrial enterprises 2003-2005.xls Unit number and total output value of all industrial enterprises 2004-2006.xls Unit number and total output value of all industrial enterprises 2004.xls Unit number and total output value of all industrial enterprises 2005-2007.xls Unit number and total output value of all industrial enterprises 2007-2008.xls The data table structure is the same. For example, there are four fields in the data table of the total industrial output value of each province (city, district) in 1998 Field 1: Region Field 2: Steel (10000 tons) Field 3: pig iron (10000 tons) Field 4: finished steel (10000 tons)
Qinghai Provincial Bureau of Statistics
The data set records the main financial and economic benefit indicators of all independent accounting collective industrial enterprises in Qinghai Province. The data is divided according to the main financial and economic benefit indicators of all independent accounting collective industrial 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 two data tables The main financial and economic benefit indexes of collective industrial enterprises are calculated independently from 1993 to 1998.xls, The main financial and economic benefit indexes of collective industrial enterprises are calculated independently from 1994 to 1999.xls. The data table structure is the same. For example, there are six fields in the 1993-1998 data sheet of all independent accounting collective industrial enterprises Field 1: Indicators Field 2: Unit Field 3: 1995 Field 4: 1996 Field 5: 1997 Field 6: 1998
Qinghai Provincial Bureau of Statistics
The data set records the main financial and economic benefit indicators of all independent accounting state-owned industrial enterprises in Qinghai Province. The data is divided according to the main financial and economic benefit indicators of all independent accounting state-owned industrial 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 three data tables The main financial and economic benefit indexes of all state-owned industrial enterprises are calculated independently from 1993 to 1998, The main financial and economic benefit indexes of all state-owned industrial enterprises are calculated independently from 1994 to 1999, The main financial and economic benefit indexes of all state-owned industrial enterprises are calculated independently from 1995 to 2000.xls. The data table structure is the same. For example, there are five fields in the 1993-1998 data sheet of all independent accounting state-owned industrial enterprises Field 1: Indicators Field 2: Unit Field 3: 1995 Field 4: 1996 Field 5: 1997
Qinghai Provincial Bureau of Statistics
The data set records the main financial and economic benefit indicators of all independent accounting industrial enterprises in Qinghai Province. The data is divided according to the main financial and economic benefit indicators of industrial 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 three data tables Main financial and economic benefit indexes of all independent accounting industrial enterprises 1993-1998.xls Main financial and economic benefit indexes of all independent accounting industrial enterprises 1994-1999.xls Major financial and economic benefit indicators of industrial enterprises 1995-2000.xls, The data table structure is the same. For example, the main financial and economic benefit indicators of industrial enterprises from 1995 to 2000 have nine fields Field 1: Indicators Field 2: Unit Field 3: 1994 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8: 1999 Field 9: 2000
Qinghai Provincial Bureau of Statistics
The data set records the employees and labor remuneration of all units in Qinghai Province, and the data is divided according to the employees and labor remuneration. 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 All employees and labor remuneration 1998.xls Employees and labor remuneration of all units, 1999.xls Labor remuneration and average labor remuneration of all employees in units 2009.xls Labor remuneration and average labor remuneration of all employees in the unit 2010.xls. The data table structure is the same. For example, there are five fields in the 1998 data sheet of all employees and labor remuneration: Field 1: Category Employee: field 2 Field 3: total of on duty employees Field 4: Female Field 5: Ethnic Minorities
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey capital climate index of Qinghai Province, and the data is divided according to the business climate survey capital climate index. 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 Qinghai Province enterprise prosperity survey capital situation prosperity index 1998-1999.xls Qinghai Province enterprise prosperity survey capital situation prosperity index 1999-2000.xls Business climate capital adjustment business climate index 2000-2001.xls Business climate capital adjustment business climate index 2001-2002.xls Business climate capital adjustment business climate index 2002-2003.xls Business climate capital adjustment business climate index 2004-2005.xls Business climate capital adjustment business climate index 2005-2006.xls Business climate capital adjustment business climate index 2006-2007.xls Business climate capital adjustment business climate index 2007-2008.xls Business climate capital adjustment business climate index 2008-2009.xls Business climate capital adjustment business climate index 2009-2010.xls The structure of business climate index. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the business climate index 2009-2010 data table Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey investment climate index of Qinghai Province, and the data is divided according to the business climate survey investment climate index. 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 Qinghai business climate survey investment climate index 1998-1999.xls Qinghai business climate survey investment climate index 1999-2000.xls Business climate adjustment investment climate index 2000-2001.xls Business climate adjustment investment climate index 2001-2002.xls Business climate adjustment investment climate index 2002-2003.xls Business climate adjustment investment climate index 2004-2005.xls Business climate adjustment investment climate index 2005-2006.xls Business climate adjustment investment climate index 2006-2007.xls Business climate adjustment investment climate index 2007-2008.xls Business climate adjustment investment climate index 2008-2009.xls Business climate adjustment investment climate index 2009-2010.xls The structure of business climate index 2010-2011. XLS data table is the same. For example, there are five fields in the business climate index 2009-2010 data table Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the after tax profit prosperity index of Qinghai Province enterprise prosperity survey, and the data is divided according to the after tax profit prosperity index of enterprise prosperity survey. 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 Business climate survey of Qinghai Province after tax profit climate index 1998-1999.xls Business climate survey of Qinghai Province after tax profit climate index 1999-2000.xls Business climate index 2000-2001.xls Business climate index of profit after tax adjustment 2001-2002.xls Business climate index 2002-2003.xls Business climate index after tax profit of business climate adjustment 2004-2005.xls Business climate index after tax profit of business climate adjustment 2005-2006.xls Business climate adjusted profit climate index 2006-2007.xls Business climate adjusted profit climate index 2007-2008.xls Business climate index after tax profit of business climate adjustment 2008-2009.xls Business climate index after tax profit of business climate adjustment 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate adjusted profit climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the business climate survey product ordering climate index of Qinghai Province, and the data is divided according to the business climate survey product ordering climate index. 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 Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment product ordering climate index 2000-2001.xls Business climate adjustment product ordering climate index 2001-2002.xls Business climate adjustment product ordering climate index 2002-2003.xls Business climate adjustment product ordering climate index 2004-2005.xls Business climate adjustment product ordering climate index 2005-2006.xls Business climate adjustment product ordering climate index 2006-2007.xls Business climate adjustment product ordering climate index 2007-2008.xls Business climate adjustment product ordering climate index 2008-2009.xls Business climate adjustment product ordering climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate adjustment product ordering climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the comprehensive business climate index of enterprises in Qinghai Province. The data is divided according to the comprehensive business climate index of enterprises 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Enterprise business climate index 2000-2001.xls Business climate adjustment business comprehensive business climate index 2001-2002.xls Business climate adjustment business comprehensive business climate index 2002-2003.xls Business climate adjustment business comprehensive business climate index 2004-2005.xls Business climate adjustment business comprehensive business climate index 2005-2006.xls Business climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate index in 2008 Business climate adjustment business climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the data table of business climate index 2009-2010 Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
This data set records the production prosperity index of Qinghai Province enterprise prosperity survey, and the data is divided according to the production prosperity index of enterprise prosperity survey. 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 Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment business production climate index 2000-2001.xls Business climate adjustment business production climate index 2001-2002.xls Business climate index 2002-2003.xls Business climate adjustment business production climate index 2004-2005.xls Business climate adjustment business production climate index 2005-2006.xls Business climate adjustment business production climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate adjustment business production climate index 2008-2009.xls Business climate adjustment business production climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 data table of business climate index Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the financing climate index of Qinghai enterprise climate survey, and the data is divided by the financing climate index of enterprise climate survey. 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 six tables Business climate survey business financing climate index 2005-2006.xls Business climate survey business financing climate index 2006-2007.xls Business climate survey business financing climate index 2007-2008.xls Business climate survey business financing climate index 2008-2009.xls Business climate survey business financing climate index 2009-2010.xls Business climate survey business financing climate index 2010-2011.xls. The data table structure is the same. For example, there are five fields in the 2005-2006 business climate survey business financing climate index data table Field 1: type Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
The data set records the macro business climate index of enterprises in Qinghai Province, and the data is divided according to the macro business climate index of enterprises 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 12 data tables Qinghai enterprise prosperity survey product ordering prosperity index 1998-1999.xls Qinghai enterprise prosperity survey product ordering prosperity index 1999-2000.xls Business climate adjustment business macro business climate index 2000-2001.xls Business climate adjustment business macro business climate index 2001-2002.xls Business climate index 2002-2003.xls Business climate adjustment business macro business climate index 2004-2005.xls Business climate adjustment business macro business climate index 2005-2006.xls Business climate adjustment business macro business climate index 2006-2007.xls Business climate index 2007-2008.xls Business climate adjustment business macro business climate index 2008-2009.xls Business climate adjustment business macro business climate index 2009-2010.xls The structure of the. XLS data table from 2010 to 2011 is the same. For example, there are five fields in the 2009-2010 business climate index data table of business climate adjustment Field 1: indicator name Field 2: first quarter Field 3: second quarter Field 4: third quarter Field 5: fourth quarter
Qinghai Provincial Bureau of Statistics
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