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
This data set records the statistical data of tourism development in Qinghai Province from 1999 to 2020. Data according to the number at the end of the travel agency (a), at the end of the travel agency employees (people), the total number of hotel (a), tourist trips combined (people), tourism revenue (one hundred million yuan) cost (RMB) per capita, domestic tourists, international tourist foreign exchange income (usd), international travel costs ($) per capita, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: Tourism development 1999-2005. XLS Development of tourism industry 20002006. XLS Development of tourism industry 20012007. XLS Development of tourism 20012008. XLS Development of Tourism 2005-2009. XLS Development of Tourism industry 2006-2010. XLS Tourism development 2007-2011. XLS Development of Tourism 2008-2012. XLS Development of Tourism industry 2009-2013 XLS Development of Tourism 2010-2014. XLS Development of Tourism 2011-2015. XLS Tourism development 2012-2016. XLS Tourism development 2013-2017. XLS Development of Tourism 2014-2018. XLS Development of Tourism 2015-2020. XLS Tourism 2000-2001. XLS Tourism 2001-2002. XLS Tourism 2002-2003.xls Tourism 2004 year. XLS The data table structure is similar. For example, the tourism data table 2000-2001 has three fields: Field 1: indicator Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
This data set records the statistics of the number of overnight guests and foreign exchange income of tourism hotels in Qinghai Province from 1981 to 1999. The data are divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of three data tables The number of overnight guests and foreign exchange income in foreign hotels 1981-1998.xls The number of overnight guests and tourism foreign exchange income of foreign hotels in Qinghai Province, 1981-1999.xls The number of overnight foreign tourists in hotels of Qinghai Province by country and region, 1998-1999.xls The data table structure is the same. For example, there are seven fields in the 1981-1998 data table of the number of overnight guests and foreign exchange income from tourism Field 1: 1981 Field 2: 1993 Field 3: 1994 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the ranking of the main source areas of tourists from Qinghai province to Qinghai province from 2012 to 2020. The data are divided by the source areas of tourists from Gansu, Jiangsu, Guangdong, Xinjiang, Shaanxi, Henan, Beijing, Sichuan, Shandong and Shanghai. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains eight data tables, which are: Main source of tourists into Qinghai ranked in 2012. XLS Main source of tourists into Qinghai ranked in 2018. XLS Main source of tourists into Qinghai ranked in 2013. XLS Main source of tourists into Qinghai ranked in 2014. XLS Main source of tourists into Qinghai ranked 2015. XLS The main source of tourists into Qinghai ranked in 2016. XLS Main source of tourists into Qinghai ranked in 2017. XLS Main source of tourists into Qinghai ranked 2020. XLS The data table structure is the same. For example, there are four fields in the 2012 data table of the ranking of main source of tourists in Qinghai: Field 1: region Field 2: Out-of-province visitors Field 3: Proportion Field 4: rank
Qinghai Provincial Bureau of Statistics
The data set records the statistics of the number of self-driving cars entering Qinghai province from 2008 to 2020. The data are divided by industry, region, affiliation and registration type. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 12 data tables, which are: Enter Qinghai autonomous driving volume in 2018. XLS Enter qinghai autonomous driving volume and ranking 2009. XLS Enter qinghai autonomous driving volume and ranking 2010 2010. XLS Enter qinghai autonomous driving volume and ranking 2011. XLS Enter qinghai autonomous driving volume and ranking in 2012. XLS Enter qinghai autonomous driving volume and ranking in 2013. XLS Enter qinghai autonomous driving volume and ranking in 2014. XLS Enter qinghai autonomous driving volume and ranking 2015. XLS Enter qinghai autonomous driving volume and ranking 2016. XLS Enter qinghai autonomous driving volume and ranking 2008. XLS Enter qinghai autonomous driving volume and ranking 2017. XLS Enter qinghai autonomous driving volume and ranking 2020. XLS The data table structure is the same. For example, there are three fields in the 2018 data table of autonomous driving in Qinghai Province: Field 1: Vehicle source land Field 2: Number of self-driving cars Field 3: Year-over-year increase
Qinghai Provincial Bureau of Statistics
The data set records the statistics of the number of foreign tourists received by Qinghai Province from 2000 to 2020 (by country), and the data are divided by the origin of Japan, South Korea, Indonesia, Malaysia, the Philippines, Singapore, Thailand, the United Kingdom, France and other countries. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 19 data tables, which are: The number of foreign tourists received by country in 2000-2001. XLS Number of foreign tourists received by country in 2001-2002. XLS Number of foreign tourists received by country in 2003-2005. XLS The number of foreign tourists received by country in 2004-2006. XLS Number of foreign tourists received by country in 2005-2007. XLS Number of foreign tourists received by country in 2005-2008. XLS Number of foreign tourists received by country in 2006-2009. XLS Number of foreign tourists received by country 2007-2010. XLS Number of foreign tourists received by country 2008-2011. XLS The number of foreign tourists by country in 2011-2012. XLS Number of foreign tourists received by country in 2012-2013. XLS The number of foreign tourists received by country in 2013-2014. XLS Number of foreign tourists received by country in 2014-2015. XLS The number of foreign tourists received by country in 2015-2016. XLS The number of foreign tourists received by country in 2016-2017. XLS The number of foreign tourists received by country in 2017-2018. XLS The number of foreign tourists received by country in 2018-2020. XLS Number of foreign tourists in 2004. XLS Number of foreign tourists received by country by 2002-2003.xls The data table structure is the same. For example, the number of foreign tourists received by country for 2000-2001 has three fields: Field 1: Country region Field 2:2000 Field 3:2001
Qinghai Provincial Bureau of Statistics
This data set records the statistics of the number of overnight foreign tourists received by urban tourism accommodation facilities in Qinghai Province from 1999 to 2000. According to the country and year, China covers Japan, Philippines, Singapore, Thailand, Indonesia and other Asian countries, and the United States, Canada and other American countries. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains a data table, which is: the number of overnight foreign tourists by country (region) in urban tourism accommodation facilities, 1999-2000.xls. The data table structure is the same. For example, there are two fields in the data table from 1999 to 2000 Field 1: year Field 2: Country / Region
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of overnight visitors and foreign exchange income from tourism in urban tourist accommodation facilities of Qinghai Province from 1990 to 2000. The data are divided by the total number of visitors (person time), the total number of person days (person day) and foreign exchange income (ten thousand US dollars). The unit of foreign exchange income in 1990 is ten thousand yuan of foreign exchange voucher. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains a data table: the number of overnight visitors and foreign exchange income of tourism in urban tourism accommodation facilities, 1990-2000.xls. For example, the 1990-2000 data table has four fields: Field 1: year Field 2: number of people Field 3: amount Field 4: other
Qinghai Provincial Bureau of Statistics
The data set recorded the statistical data of the list of A-level scenic spots in Qinghai Province, and the data were divided into 4A level scenic spots, 3A level scenic spots and 2A level scenic spots. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Directory of Qinghai A-Level Scenic Spots 2009. XLS, Directory of Qinghai A-Level Scenic Spots 2011. XLS, Directory of Qinghai A-Level Scenic Spots 2008. XLS, Directory of Qinghai A-Level Scenic Spots 2010. List of Qinghai A-Class Scenic Spots 2014. XLS, List of Qinghai A-Class Scenic Spots 2015. XLS, List of Qinghai A-Class Scenic Spots 2016. XLS, List of Qinghai A-Class Scenic Spots 2017. XLS, List of Qinghai A-Class Scenic Spots 2018. List of A-level Scenic Spots of Qinghai Province 2019. XLS, List of A-Level Scenic Spots of Qinghai Province (2020), List of A-Level Scenic Spots of Qinghai Province (2020) 1, List of A-Level Scenic Spots of Qinghai Province (2020) 2, List of A-level Scenic Spots of Qinghai Province (2020) 3. The data table structure is the same. For example, the 2009 table has two fields: Field 1: Scenic spot name Field 2: Address
Qinghai Provincial Bureau of Statistics
The dataset recorded statistics on tourism development by region in Qinghai province from 2010 to 2020, and included xining, Haidong, Haibei prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture, Haixi prefecture and Qinghai Lake Administration. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 10 data tables with the same structure. For example, the 2012 data table has 4 fields: Field 1: region Field 2: Total tourism revenue Field 3: Number of tourists Field 4: Per capita expenditure
Qinghai Provincial Bureau of Statistics
"The data set records the opening up to the mountains of qinghai province in 2002-2020 statistical data, the data is in accordance with the nima QingFeng, each pull dandong peak, the two presidents of the peak, the new qingfeng-xiangguang fracture, the peak, wrong, the deep, yuzhu peak, jade virtual essential is peak, horse aperture, hubei ice, five xuefeng mountain, big xuefeng, mount tunggula, dragon ara peak, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 18 data tables with the same structure. For example, the table for 2019 has four fields: Field 1: Mountain name Field 2: Altitude Field 3: Mountain system Field 4: Geographic location"
Qinghai Provincial Bureau of Statistics
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