The dataset recorded the statistical data of average sales prices of commercial housing by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Hainan Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Average sales price of commercial housing by use, 1997-2005. XLS, 1997-2006. XLS, 1997-2007. XLS, 2000-2008. Average selling price of commercial housing by use 2000-2009 XLS, average selling price of commercial housing by use in Qinghai Province (2001-2020) XLS, average selling price of commercial housing by use 2000-2010 XLS, etc. The data table structure is the same. For example, the 1997-2005 data table has 6 fields: Field 1: Year region Field 2: Home sales Field 3: Residence Field 4: Office building Field 5: Commercial premises Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set records the food price index of qinghai province in 2006-2020, the data is in accordance with the food, starch and products, dry beans and bean products, oil, meat and poultry products, eggs, aquatic products, vegetables, spices, tea and drinks, dry fresh fruit bread, pastries, cookies, liquid milk and milk products, dining out, food, other food division. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, which are: Food Price Index 2006-2011, XLS, Food Price Index 2006-2012, XLS, Food Price Index 2007-2013, XLS, Food Price Index 2010-2014, XLS, Food Price Index 2010-2015, XLS, Food Price Index 2016-2017. XLS, Food Price Index 2016-2017. XLS, Food Consumer Price Index 2006-2009. XLS, Food Consumer price Index 2006-2010. Food consumer price Index 2019. XLS, food consumer price index 2020. XLS. The data table structure is the same. For example, the data table from 2006 to 2011 has 7 fields: Field 1: Category name Field 2:2006 Field 3:2007 Field 4:2008 Field 5:2009 Field 6:2010 Field 7:2011
Qinghai Provincial Bureau of Statistics
This data set records the statistical data on the total amount and composition of terminal energy charges by industry in Qinghai Province from 1997 to 2020. The data are divided by agriculture, forestry, animal husbandry and fishery, industry, construction, transportation, storage and transportation, postal industry, wholesale and retail industry, accommodation, catering industry, other industries and the life of urban and rural residents. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics The set contains 17 data tables with the same structure. For example, the data table for 2010 has five fields: Field 1: Industry Field 2: total energy consumption Field 3: raw coal consumption Field 4: gasoline consumption Field 5: electricity consumption
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the financial situation of general contracting and specialized contracting construction enterprises in Qinghai Province from 2008 to 2020. The data is divided by registration type, by national economic industry, by affiliation and by enterprise qualification level. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, all of which have the same structure. For example, the 2018 table has 8 fields: Field 1: Number of construction enterprises Field 2: Deposits and loans at the beginning of the year Field 3: Current assets Field 4: Impairment provision for fixed assets Field 5: Original price of fixed assets Field 6: Accumulated depreciation Field 7: Total assets
Qinghai Provincial Bureau of Statistics
The data set recorded the basic situation of rural areas and the statistical data of rural employees in Qinghai Province from 2000 to 2020. The data were divided by rural grassroots organizations, household number and population, rural employees and national economic industries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Basic Statistics of Rural areas and Rural Employees 2000-2005. XLS Basic Statistics of Rural areas and Rural Employees 2000-2006. XLS Basic Statistics of Rural areas and Rural Employees 2000-2007. XLS Rural basic information and rural employees 2002-2003. XLS Rural Basic Information and Rural Employees 2004. XLS Basic statistics of rural areas and Rural Employees 2005-2009. XLS Basic Statistics on Rural areas and Rural Employees 2005-2010. XLS Basic Statistics of Rural areas and Rural Employees 2005-2011. XLS Basic Statistics of Rural areas and Rural Employees 2007-2012 XLS Basic Statistics of Rural areas and Rural Employees 2008-2013 XLS Rural basic Information and Rural Employees 2008. XLS Basic Statistics on Rural areas and Rural Employees 2010-2014 XLS Basic Statistics on Rural areas and Rural Employees 2010-2015 XLS Basic Statistics on Rural areas and Rural Employees 2011-2016 XLS Basic Statistics on Rural areas and Rural Employees 2012-2017. XLS Basic Statistics on Rural areas and Rural Employees 2013-2018 XLS Basic Statistics on Rural areas and Rural Employees 2014-2019. XLS Basic Statistics on Rural areas and Rural Employees 2015-2020 XLS The data table structure is the same. For example, the 2002-2003 data table of rural basic information and Rural Employment has 6 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2003 is % of 2002
Qinghai Provincial Bureau of Statistics
The data set recorded the statistics of real sales of commercial housing by use in Qinghai province from 1997 to 2020, divided by main years and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Guoluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 14 data tables, which are: Real sales of commercial housing by use 2000-2010 XLS, real sales of commercial housing by use 1997-2005 XLS, real sales of commercial housing by use 1997-2006 XLS, real sales of commercial housing by use 1997-2007 Actual sales of commercial housing by use 2000-2008. XLS, actual sales of commercial housing by use 2001-2020, etc. The data table structure is the same. For example, the data table from 2000 to 2010 has 6 fields: Field 1: Year region Field 2: Home sales Field 3: Residence Field 4: Office building Field 5: Commercial premises Field 6: Other
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the basic situation of insurance business in Qinghai province from 1998 to 2020, and the data were divided into property insurance premium income, life insurance premium income, property insurance indemnity payout, life insurance indemnity payout, etc. 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 about Insurance Business 1999-1999 Basic Information about Insurance Business 2000-2001 Basic Information about Insurance Business 2000-2002 Basic Information about Insurance Business 1999-2001 Basic Information about Insurance Business 1999-2001 Basic Information about Insurance Business 2000-2002 Basic Information about Insurance business 1999-2001 Basic Information about Insurance business 1999-2001 Basic Information about Insurance business 1999-2001 Basic Information about Insurance business 2000-2002 Basic Information about Insurance Business 2002-2003. XLS, Basic Information about Insurance Business 2003-2005. XLS, Basic Information about Insurance Business 2004. 2006. XLS, Basic Information about Insurance Business 2004. Basic Information about Insurance Business 20052008. XLS, Basic Information about Insurance Business 2006-2009. XLS, Basic Information about Insurance Business 2006-2010. Basic Information of Insurance Business 2008-2013 XLS, Basic Information of Insurance Business 2010-2014 XLS, Basic Information of Insurance Business 2010-2015 XLS, Basic Information of Insurance Business 2011-2016 XLS, Basic Information of Insurance Business 2012-2017 Basic Information of Insurance Business 2013-2018 basic Information of Insurance Business of XLS and Qinghai Province (2013-2019) XLS and Qinghai Province (2013-2019) 1. Basic Information of insurance Business of XLS and Qinghai Province (2015-2020) XLS and Qinghai Province (201 5-2020) 1. XLS. The data table structure is the same. For example, the 1998 table had four fields: Field 1: Year Field 2: Amount Field 3: Item Field 4: Other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of total export value of Qinghai Customs by country and region from 2002 to 2015 and 2019-2020, which are divided by Asia, Africa and Europe. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables, which are: Total export value by country and region by customs 2003-2005. XLS Total value of exports by country and region by customs 2004-2006. XLS Total value of customs exports by country and region 2005-2007. XLS Total value of exports by country and region 2007-2008. XLS Total value of exports by country and region 2008-2009. XLS Total value of exports by country and region by Customs 2009-2010. XLS Total value of exports by country and region by Customs 2010-2011. XLS Total export value by country and region by customs 2011-2012. XLS Total export value by country and region by customs 2012-2013. XLS Total export value by country and region by customs 2013-2014. XLS Total export value by country and region by customs 2014-2015. XLS Total export value by country and region by customs 2016 XLS Total value of customs exports by country and region in 2017. XLS Total value of customs exports by country and region 2018. XLS Total value of customs exports by country 2000-2001. XLS Total value of customs exports by country 2001-2002. XLS Customs export value by country and region 2004. XLS Total export value by country and region by customs 2002-2003.xLS The data table structure is the same. For example, there are 6 fields in the table of total export value by country and region 2003-2005: Field 1: Country region Field 2:2002 Field 3:2003 Field 4: Country region Field 5:2002 Field 6:2003
Qinghai Provincial Bureau of Statistics
The dataset recorded statistics on the balance of RMB loans from financial institutions in Qinghai Province from 1952 to 2018, divided by major years and regions such as Xining, Haidong, Haibei prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture and Yushu Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 34 data tables, which are: Main year RMB deposit balance of financial institutions 2011.xls Main years RMB deposit balance of financial institutions 1952-2004. XLS Main years RMB deposit balance of financial institutions 1952-2008. XLS Main years RMB deposit balance of financial institutions 1952-2009. XLS Main years RMB deposit balance of financial institutions 1952-2010. XLS Main years RMB deposit balance of financial institutions 1952-2006.xLS Main years RMB deposit balance of financial institutions 1952-2007. XLS Main years RMB deposit balance of financial institutions 1978-2005. XLS Main years RMB loan balance of financial institutions 1952-2004. XLS Main years RMB loan balance of financial institutions 1952-2009. XLS Main years RMB loan balance of financial institutions 1952-2006. XLS Main years RMB loan balance of financial institutions 1952-2007. XLS Main years RMB loan balance of financial institutions 1978-2005. XLS Main years RMB loan balance of financial institutions 1999-2008 XLS Main years RMB loan balance of financial institutions 2010-2011 XLS Main year RMB loan balance of financial institutions 2010.xls Main years RMB loan balance of financial institutions 2010-2012 XLS Financial institutions RMB deposit balance 2012 you.xls Balance of RMB deposits of financial institutions 2011-2013. XLS Balance of RMB deposits of financial institutions 2011-2014. XLS Balance of RMB deposits of financial institutions in 2015. XLS Balance of RMB deposits of financial institutions in 2016. XLS Balance of RMB deposits of financial institutions in 2017. XLS Balance of RMB deposits of financial institutions in 2018. XLS Balance of RMB deposits of financial institutions in 2019. XLS Balance of RMB deposits of financial institutions in 2020. XLS Balance of RMB loans of financial institutions 2010-2013. XLS Balance of RMB loans of financial institutions 2010-2014. XLS Balance of RMB loans of financial institutions in 2015. XLS Balance of RMB loans of financial institutions in 2016. XLS Balance of RMB loans of financial institutions in 2017. XLS Balance of RMB loans of financial institutions in 2018. XLS Balance of RMB loans of financial institutions in 2019. XLS Balance of RMB loans of financial institutions 2020. XLS The data table structure is the same. For example, the 2012 data table of RMB deposit balance of financial institutions has 8 fields: Field 1: Year region Field 2: Total Field 3: Unit deposit Field 4: Demand deposit Field 5: Time deposits Field 6: Personal deposits Field 7: Savings deposits Field 8: Financial deposits
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of posts and telecommunications enterprises in Qinghai Province from 1998 to 2020, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 21 data tables, all of which have the same structure. For example, the 1998 table had seven fields: Field 1: Postal business Field 2: Telecom service Field 3: Correspondence Field 4: Express Mail Field 5: Telephone service Field 6: Correspondence business Field 7: Newspaper distribution business
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistical data of total energy consumption and composition in Qinghai province from 1980 to 2020, and the data were divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 21 data tables, which are: Total energy consumption and composition, 1990-2001. XLS Total energy consumption and Composition, 1990-2002. XLS Total energy consumption and composition 1990-2003. XLS Total energy consumption and composition, 1990-2005. XLS Total energy consumption and composition, 1990-2006. XLS Total energy consumption and composition, 1990-2007. XLS Total energy consumption and Composition, 1990-2008. XLS Total energy consumption and Composition, 1990-2009. XLS Total energy consumption and Composition 1990-2010. XLS Total energy consumption and Composition, 1990-2011. XLS Total energy consumption and Composition, 1990-2012. XLS Total energy consumption and Composition 1990-2013. XLS Total energy consumption and Composition 1990-2014. XLS Total energy consumption and Composition, 1990-2015. XLS Total energy consumption and Composition 1990-2016. XLS Total energy consumption and Composition 1990-2017. XLS Total energy consumption and Composition, 1990-2020. XLS Total energy consumption and composition 2004. XLS Total energy consumption and Composition, 1980-1998. XLS Total energy consumption and Composition, 1980-1999. XLS Total energy consumption and Composition, 1980-2000. XLS The data table structure is the same. For example, total energy consumption and composition 1980-1998 data table has 6 fields: Field 1: Year Field 2: Total energy consumption Field 3: Raw coal composition Field 4: Crude oil composition Field 5: Natural gas composition Field 6: Water and electricity composition
Qinghai Provincial Bureau of Statistics
The dataset recorded the statistics of actual sales area of commercial housing by use in Qinghai Province from 1997 to 2020, divided by year and regions such as Xining, Haidong, Haibei, Hainan, Haixi and Huangnan. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Housing Area Of Real Estate Development Enterprises (Units) By Use 1997-2005 XLS, Housing Area of Real Estate Development Enterprises (Units) By Use 1997-2006 XLS, Housing Area of Real Estate Development Enterprises (Units) By Use 1997-2007 XLS, Housing Area Newly Started by Real Estate Development Enterprises (Units) by Use 2000-2008 XLS, Housing Area Newly Started by Real Estate Development Enterprises (Units) by Use 2000-2009 XLS...... Newly Started Housing Area of Real Estate Development enterprises (units) by Use 2000-2018. XLS et al., Newly started Housing area of Real Estate Development enterprises (units) by Use in Qinghai Province (2001-2020). XLS. The data table structure is the same. For example, the data table from 1997 to 2005 has 4 fields: Field 1: Year region Field 2: Commercial business Field 3: Office building Field 4: Other
Qinghai Provincial Bureau of Statistics
The data set records statistics on the per capita income and expenditure of urban and rural residents nationwide from 2010 to 2020, Data according to the national and Beijing, tianjin, hebei, shanxi, Inner Mongolia, liaoning, jilin, heilongjiang, Shanghai, jiangsu, zhejiang, anhui, fujian, jiangxi, shandong, henan, hubei, hunan, guangdong, guangxi, hainan, chongqing, sichuan, guizhou, yunnan, Tibet, shaanxi, gansu, qinghai, ningxia, xinjiang and so on. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 20 data tables, which are: Per capita Income and Expenditure of Urban and Rural Residents 2010-2015 XLS, Per capita Income and expenditure of Urban and Rural Residents 2010-2016 Per capita income and expenditure of Urban and Rural Residents in Qinghai Province (2010-2019). XLS, Per capita income and expenditure of Urban and Rural Residents in Qinghai Province (2010-2020). XLS, etc. The data table structure is the same. For example, the data table from 2010 to 2015 has three fields: Field 1: indicator Field 2: Per capita disposable income Field 3: Consumption expenditure per capita
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of changes of registered urban unemployed in Qinghai province in major years from 1980 to 2020, and the data is divided by year. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Year Field 2: Total number of unemployed persons Field 3: Number of carryovers from previous year Field 4: New additions for the year Field 5: Number of unemployed persons placed for employment in the current year Field 6: Actual number of unemployed persons at the end of this year Field 7: Registered urban unemployment rate
Qinghai Provincial Bureau of Statistics
This data set records the altitude elevation of the main tourist attractions in Qinghai Province from 2002 to 2020. The data are based on the main tourist attractions in Qinghai Province, such as thar temple, Qinghai Lake, Qutan temple, kambula National Forest Park, the former residence of the 10th Panchen Lama, Mengda Tianchi, longbaotan black necked Crane nature reserve, the source of the Yangtze River, Chaerhan Salt Lake, bird island, Huzhu Beishan National Forest Park, the source of the Yellow River and a Nimaqing mountain, Jinyintan grassland scenery, bukadaban peak, Kunlun mountain pass, BeiChan temple, Qinghai Museum, Laoye Mountain, Huzhu Beishan National Forest Park, Jiezi mosque, Wendu temple, xiazong temple, Xiaqiong temple, Youning temple, Riyue mountain, Daotang River, Longyang Gorge, Qinghai Lake Resort, Yuhuangge, Chaka Salt Lake, atomic City, Lijiaxia gorge, Nanzong temple, Longwu temple Maixiu forest farm, Tubo burial tomb, Dulan international hunting ground and Hoh Xil no man's land. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 19 data tables: The elevation of the main tourist attractions in the province was in 2002 xls The elevation of the main tourist attractions in the province was in 2003 xls The elevation of the main tourist attractions in the province was in 2004 xls The elevation of the main tourist attractions in the province was in 2006 xls The elevation of the main tourist attractions in the province was in 2007 xls The elevation of the main tourist attractions was in 2007 xls The elevation of the main tourist attractions in 2008 xls The elevation of main tourist attractions was in 2009 xls The elevation of main tourist attractions was in 2010 xls Elevation of main tourist attractions in 2011 xls Elevation of main tourist attractions in 2012 xls Elevation of main tourist attractions in 2013 xls Elevation of main tourist attractions in 2015 xls Elevation of main tourist attractions in 2016 xls Elevation of main tourist attractions in 2017 xls The elevation of the main tourist attractions will be in 2019 xls Elevation of main tourist attractions in Qinghai Province (2019) xls Elevation of main tourist attractions in Qinghai Province (2020) xls The elevation of the main tourist attractions in Qinghai Province (2020) is 1 xls , the data table structure is the same. For example, there are three fields in the elevation (2003) data table of major tourist attractions in the province: Field 1: name of tourist attraction Field 2: altitude (m) Field 3: geographic location
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of construction and installation enterprises in Qinghai province in major years from 1958 to 2020. The data is divided by the number of enterprises, employees, total output value of construction industry and corresponding years. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 16 data tables, all of which have the same structure. For example, the 2018 table has seven fields: Field 1: Year Field 2: State-owned enterprises Field 3: Collective enterprise Field 4: Limited liability Company Field 5: Co., LTD Field 6: Private enterprise Field 7: Hong Kong, Macao, Taiwan and foreign invested enterprises
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of producer price index (PPI) in Qinghai province from 1989 to 2020 by production stage and category of industrial products. The data are divided into core index, high technology, energy, primary products, intermediate products, final products and other industries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains four data tables, which are: Producer Price Indices by Stage of production and category of industrial products 1989-2016 XLS, 2011-2017 XLS, 1989-2016 Producer Price Index (PPI) by Production stage and category of Industrial products (2011-2018) XLS and Producer Price Index (2011-2020) of Qinghai Province by production stage and category of Industrial products (2011-2020) XLS The data table structure is the same. For example, the data table from 2011 to 2017 has 8 fields: Field 1: indicator Field 2:2011 Field 3:2012 Field 4:2013 Field 5:2014 Field 6:2015 Field 7:2016 Field 8:2017
Qinghai Provincial Bureau of Statistics
The recorded data set limitation above in qinghai province in 1998-2020 wholesale and retail trade sales enterprise, the data is according to the grain, edible vegetable oil, sugar, cotton, TV, audio systems, video camera, video recorder, VCD, household refrigerators, household washing machine, air conditioner, microwave oven room, ordinary telephone, mobile telephone, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 30 data tables, all of which have the same structure. For example, the 1998 table had seven fields: Field 1: Item Field 2: Sales volume Field 3: Wholesale Field 4: Production Field 5: Exit Field 6: Retail Field 7: Month-end inventory
Qinghai Provincial Bureau of Statistics
This data set records the mechanical changes of population in Qinghai Province from 1952 to 2018. The data is divided by year. The data is the annual report data of the provincial public security department. The immigration and emigration population after 1985 are inter provincial immigration and emigration. The data in 1952 is based on the China population · Qinghai volume published by China finance and Economics Press Based on relevant data. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 25 data tables: Changes of population and machinery in Qinghai Province in Main Years (1990-2019) xls Changes in population and machinery in major years 1952-2004 xls Changes in population and machinery in major years 1952-2008 xls Changes in population and machinery in major years 1952-2009 xls Changes in population and machinery in major years 1952-2010 xls Changes in population and machinery in major years 1952-2011 xls Changes in population and machinery in major years 1952-2012 xls Changes in population and machinery in major years 1952-2013 xls Changes in population and machinery in major years 1952-2014 xls Changes in population and machinery in major years 1952-2015 xls Changes in population and machinery in major years 1952-2016 xls Changes in population and machinery in major years 1952-2006 xls Changes in population and machinery in major years 1952-2007 xls Mechanical changes in population in Main Years 1987-2005 xls Changes in population and machinery in major years 1990-2017 xls Changes in population and machinery in major years 1990-2018 xls Main population changes 1952-2001 xls Main population changes 1952-2002 xls Population changes 1952-2003 xls Changes in population machinery, 1952-2002 xls Changes in population and machinery, 1952-2003 xls Changes of population and machinery in the whole province from 1952 to 1998 xls Changes of population and machinery in the whole province from 1952 to 1999 xls Changes of population and machinery in the whole province from 1952 to 2000 xls Changes of population and machinery in the whole province from 1952 to 2001 The XLS data table has the same structure. For example, there are five fields in the 1952-1998 data table of population and machinery changes in the province: Field 1: year Field 2: number of people Field 3: migration rate Field 4: number of people Field 5: emigration rate
Qinghai Provincial Bureau of Statistics
This data set records the statistical data on the basic situation of cadres of Qinghai women's Federation from 1998 to 2020. The data are divided by administrative level, cadre age, cadre political outlook and cadre education level. The data is compiled from the Qinghai statistical yearbook issued by Qinghai Provincial Bureau of statistics. The data set contains 38 data tables with the same structure. For example, the data table from 2011 to 2014 There are 5 fields: Field 1: Project Field 2:2011 Field 3: 2012 Field 4:2013 Field 5:2014
Qinghai Provincial Bureau of Statistics
Contact Support
Northwest Institute of Eco-Environment and Resources, CAS
0931-4967287
poles@itpcas.ac.cn
Links
National Tibetan Plateau Data CenterFollow Us
A Big Earth Data Platform for Three Poles © 2018-2020 No.05000491 | All Rights Reserved
｜ 
No.11010502040845
Tech Support: westdc.cn
