100+ datasets found
  1. C

    China Population: Census: Tibet: Lhasa

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China Population: Census: Tibet: Lhasa [Dataset]. https://www.ceicdata.com/en/china/population-prefecture-level-city-by-census/population-census-tibet-lhasa
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2020
    Area covered
    China
    Variables measured
    Population
    Description

    Population: Census: Tibet: Lhasa data was reported at 867.891 Person th in 12-01-2020. This records an increase from the previous number of 559.423 Person th for 12-01-2010. Population: Census: Tibet: Lhasa data is updated decadal, averaging 559.423 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 867.891 Person th in 12-01-2020 and a record low of 474.499 Person th in 12-01-2000. Population: Census: Tibet: Lhasa data remains active status in CEIC and is reported by Lhasa Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

  2. Population of Tibet 2012-2022

    • statista.com
    Updated Jun 14, 2023
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    Statista (2023). Population of Tibet 2012-2022 [Dataset]. https://www.statista.com/statistics/1391711/china-population-of-tibet/
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    Dataset updated
    Jun 14, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2022, the total permanent resident population of Tibet autonomous region in China amounted to around **** million inhabitants. Tibet autonomous region is located in Western China.

  3. s

    Provincial capital with 2000 Census population data: Tibet Autonomous Region...

    • searchworks.stanford.edu
    zip
    Updated Jul 6, 2021
    + more versions
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    (2021). Provincial capital with 2000 Census population data: Tibet Autonomous Region Province, China, 2000 [Dataset]. https://searchworks.stanford.edu/view/xv396np8125
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    zipAvailable download formats
    Dataset updated
    Jul 6, 2021
    Area covered
    Tibet, China
    Description

    This point shapefile represents the provincial capitals, with 2000 population census data for the Autonomous region of Tibet (Xizang) in 2000. These data are represented at 1:1,000,000 scale. This layer is part of the China 2000 township population census dataset.

  4. C

    China CN: Population: Census: Tibet: Xigaze

    • ceicdata.com
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    CEICdata.com, China CN: Population: Census: Tibet: Xigaze [Dataset]. https://www.ceicdata.com/en/china/population-prefecture-level-city-by-census/cn-population-census-tibet-xigaze
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2020
    Area covered
    China
    Variables measured
    Population
    Description

    Population: Census: Tibet: Xigaze data was reported at 798.153 Person th in 12-01-2020. This records an increase from the previous number of 703.292 Person th for 12-01-2010. Population: Census: Tibet: Xigaze data is updated decadal, averaging 703.292 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 798.153 Person th in 12-01-2020 and a record low of 635.200 Person th in 12-01-2000. Population: Census: Tibet: Xigaze data remains active status in CEIC and is reported by Xigaze Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

  5. Population density in China 2024, by region

    • statista.com
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    Statista, Population density in China 2024, by region [Dataset]. https://www.statista.com/statistics/1183370/china-population-density-by-region-province/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    China
    Description

    China is a vast and diverse country and population density in different regions varies greatly. In 2024, the estimated population density of the administrative area of Shanghai municipality reached about 3,911 inhabitants per square kilometer, whereas statistically only around three people were living on one square kilometer in Tibet. Population distribution in China China's population is unevenly distributed across the country: while most people are living in the southeastern half of the country, the northwestern half – which includes the provinces and autonomous regions of Tibet, Xinjiang, Qinghai, Gansu, and Inner Mongolia – is only sparsely populated. Even the inhabitants of a single province might be unequally distributed within its borders. This is significantly influenced by the geography of each region, and is especially the case in the Guangdong, Fujian, or Sichuan provinces due to their mountain ranges. The Chinese provinces with the largest absolute population size are Guangdong in the south, Shandong in the east and Henan in Central China. Urbanization and city population Urbanization is one of the main factors which have been reshaping China over the last four decades. However, when comparing the size of cities and urban population density, one has to bear in mind that data often refers to the administrative area of cities or urban units, which might be much larger than the contiguous built-up area of that city. The administrative area of Beijing municipality, for example, includes large rural districts, where only around 200 inhabitants are living per square kilometer on average, while roughly 20,000 residents per square kilometer are living in the two central city districts. This is the main reason for the huge difference in population density between the four Chinese municipalities Beijing, Tianjin, Shanghai, and Chongqing shown in many population statistics.

  6. Population in China in 2024, by region

    • statista.com
    Updated Nov 10, 2025
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    Statista (2025). Population in China in 2024, by region [Dataset]. https://www.statista.com/statistics/279013/population-in-china-by-region/
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    Dataset updated
    Nov 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    China
    Description

    In 2024, approximately 127.8 million people lived in Guangdong province in China. That same year, only about 3.7 million people lived in the sparsely populated highlands of Tibet. Regional differences in China China is the world’s most populous country, with an exceptional economic growth momentum. The country can be roughly divided into three regions: Western, Eastern, and Central China. Western China covers the most remote regions from the sea. It also has the highest proportion of minority population and the lowest levels of economic output. Eastern China, on the other hand, enjoys a high level of economic development and international corporations. Central China lags behind in comparison to the booming coastal regions. In order to accelerate the economic development of Western and Central Chinese regions, the PRC government has ramped up several incentive plans such as ‘Rise of Central China’ and ‘China Western Development’. Economic power of different provinces When observed individually, some provinces could stand an international comparison. Jiangxi province, for example, a medium-sized Chinese province, had a population size comparable to Argentina or Spain in 2024. That year, the GDP of Zhejiang, an eastern coastal province, even exceeded the economic output of the Netherlands. In terms of per capita annual income, the municipality of Shanghai reached a level close to that of the Czech Republik. Nevertheless, as shown by the Gini Index, China’s economic spur leaves millions of people in dust. Among the various kinds of economic inequality in China, regional or the so-called coast-inland disparity is one of the most significant. Posing as evidence for the rather large income gap in China, the poorest province Heilongjiang had a per capita income similar to that of Sri Lanka that year.

  7. Age distribution of the population in China 2023, by region

    • statista.com
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    Statista, Age distribution of the population in China 2023, by region [Dataset]. https://www.statista.com/statistics/1374770/china-population-age-distribution-by-region/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    The age structure of the population in China varies greatly across different regions. In 2023, only around 9.6 percent of the population in Shanghai municipality was aged 14 years or younger, while this share amounted to 24.4 percent in Tibet.

  8. C

    China CN: Population: Tibet: Lhasa: Household Registration

    • ceicdata.com
    Updated Jun 25, 2023
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    CEICdata.com (2023). China CN: Population: Tibet: Lhasa: Household Registration [Dataset]. https://www.ceicdata.com/en/china/population-prefecture-level-city/cn-population-tibet-lhasa-household-registration
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    Dataset updated
    Jun 25, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Population
    Description

    Population: Tibet: Lhasa: Household Registration data was reported at 580.000 Person th in 2022. This records an increase from the previous number of 576.593 Person th for 2021. Population: Tibet: Lhasa: Household Registration data is updated yearly, averaging 537.814 Person th from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 580.000 Person th in 2022 and a record low of 484.585 Person th in 2010. Population: Tibet: Lhasa: Household Registration data remains active status in CEIC and is reported by Lhasa Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

  9. s

    Rivers: Tibet Autonomous Region Province, China, 2000

    • searchworks.stanford.edu
    zip
    Updated May 15, 2021
    + more versions
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    (2021). Rivers: Tibet Autonomous Region Province, China, 2000 [Dataset]. https://searchworks.stanford.edu/view/pj569gv3377
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    zipAvailable download formats
    Dataset updated
    May 15, 2021
    Area covered
    Tibet, China
    Description

    This line shapefile represents rivers in the Autonomous region of Tibet (Xizang) for 2000. These data are represented at 1:1,000,000 scale. This layer is part of the China 2000 township population census dataset.

  10. S2 Table -

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 14, 2023
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    Xiao-na Li; Atif Adnan; Sibte Hadi; Wedad Saeed Al-Qahtani; Maha Abdullah Alwaili; Dalal S. Alshaya; Areej S. Jalal; Sayed A. M. Amer; Feng Jin (2023). S2 Table - [Dataset]. http://doi.org/10.1371/journal.pone.0271769.s002
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    xlsxAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiao-na Li; Atif Adnan; Sibte Hadi; Wedad Saeed Al-Qahtani; Maha Abdullah Alwaili; Dalal S. Alshaya; Areej S. Jalal; Sayed A. M. Amer; Feng Jin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A. Allele frequencies of the 12 X-STR loci in in the Highlander Tibetans population residing in Nagqu city in the north of the Tibet Autonomous Region (TAR) in China (n = 549). B. Fisher Exact test for population differentiation per locous between allelic frequencies of male and female sample in the Highlander Tibetans population residing in Nagqu city in the north of the Tibet Autonomous Region (TAR) in China (n = 549). (XLSX)

  11. T

    Metabolome data set of modern Chinese population version 1.0

    • data.tpdc.ac.cn
    • tpdc.ac.cn
    • +1more
    zip
    Updated May 11, 2020
    + more versions
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    Gonghua LI (2020). Metabolome data set of modern Chinese population version 1.0 [Dataset]. http://doi.org/10.11888/Ecolo.tpdc.270374
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    zipAvailable download formats
    Dataset updated
    May 11, 2020
    Dataset provided by
    TPDC
    Authors
    Gonghua LI
    Area covered
    Description

    How the Tibetan people adapt to the extreme environment of the plateau is not clear at present. Metabolism, as an important phenotype, plays an important role in maintaining the normal biological function of individuals. Previous studies have shown that some small metabolic molecules can adapt to the extreme environment by regulating the biological processes such as energy metabolism and oxidative stress. In view of this, this project is to find the relationship between the human metabolism and the extreme environmental adaptation by studying the unique metabolic characteristics of Tibetan population compared with the plain population, and then study the plateau adaptation mechanism of Tibetan population from the perspective of metabolism. This data is the metabolome data generated during the implementation of this project. The current data includes the metabolome data of 30 people in the plain. The combined analysis of this data and the subsequent metabolome data can be used to study the metabolism characteristics of the Tibetan people at high altitude in the low oxygen environment.

  12. f

    Forensic parameters of the 12 X-STR loci in Tibetans population residing in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 14, 2023
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    Xiao-na Li; Atif Adnan; Sibte Hadi; Wedad Saeed Al-Qahtani; Maha Abdullah Alwaili; Dalal S. Alshaya; Areej S. Jalal; Sayed A. M. Amer; Feng Jin (2023). Forensic parameters of the 12 X-STR loci in Tibetans population residing in Nagqu city in the north of the Tibet Autonomous Region (TAR) in China (n = 549). [Dataset]. http://doi.org/10.1371/journal.pone.0271769.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xiao-na Li; Atif Adnan; Sibte Hadi; Wedad Saeed Al-Qahtani; Maha Abdullah Alwaili; Dalal S. Alshaya; Areej S. Jalal; Sayed A. M. Amer; Feng Jin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nagqu, Tibet, China
    Description

    Forensic parameters of the 12 X-STR loci in Tibetans population residing in Nagqu city in the north of the Tibet Autonomous Region (TAR) in China (n = 549).

  13. C

    China Population: Registered: Tibet

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China Population: Registered: Tibet [Dataset]. https://www.ceicdata.com/en/china/population-sample-survey-by-region/population-registered-tibet
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Population
    Description

    Population: Registered: Tibet data was reported at 3.159 Person th in 2023. This records an increase from the previous number of 3.080 Person th for 2022. Population: Registered: Tibet data is updated yearly, averaging 2.592 Person th from Dec 1990 (Median) to 2023, with 28 observations. The data reached an all-time high of 2,691.210 Person th in 2010 and a record low of 2.191 Person th in 1996. Population: Registered: Tibet data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: By Region.

  14. Hardy–Weinberg equilibrium tests in the Highlander Tibetans female...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 14, 2023
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    Xiao-na Li; Atif Adnan; Sibte Hadi; Wedad Saeed Al-Qahtani; Maha Abdullah Alwaili; Dalal S. Alshaya; Areej S. Jalal; Sayed A. M. Amer; Feng Jin (2023). Hardy–Weinberg equilibrium tests in the Highlander Tibetans female population residing in Nagqu city in the north of the Tibet Autonomous Region (TAR) in China (n = 549). [Dataset]. http://doi.org/10.1371/journal.pone.0271769.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiao-na Li; Atif Adnan; Sibte Hadi; Wedad Saeed Al-Qahtani; Maha Abdullah Alwaili; Dalal S. Alshaya; Areej S. Jalal; Sayed A. M. Amer; Feng Jin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nagqu, Tibet, China
    Description

    A sequential Bonferroni correction was applied with a threshold p-value of 0.05. (XLSX)

  15. Urban and rural population in China 2023, by region

    • statista.com
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    Statista, Urban and rural population in China 2023, by region [Dataset]. https://www.statista.com/statistics/1088875/china-urban-and-rural-population-by-region-province/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, the ratio of urban to rural population varied greatly in different provinces of China. While Guangdong province had an urban population of around 95.8 million and a rural population of 31.2 million, Tibet had an urban population of only 1.4 million, but a rural population of around 2.2 million.

  16. C

    China Population: Tibet: Narqu: Biru

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). China Population: Tibet: Narqu: Biru [Dataset]. https://www.ceicdata.com/en/china/population-county-level-region/population-tibet-narqu-biru
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    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2014
    Area covered
    China
    Variables measured
    Population
    Description

    Population: Tibet: Narqu: Biru data was reported at 68.000 Person th in 2014. This stayed constant from the previous number of 68.000 Person th for 2013. Population: Tibet: Narqu: Biru data is updated yearly, averaging 60.000 Person th from Dec 2004 (Median) to 2014, with 11 observations. The data reached an all-time high of 68.000 Person th in 2014 and a record low of 50.000 Person th in 2005. Population: Tibet: Narqu: Biru data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: County Level Region.

  17. T

    Reconstruction data of cultivated land on the Qinghai Tibet Plateau from...

    • data.tpdc.ac.cn
    • tpdc.ac.cn
    zip
    Updated Apr 10, 2025
    + more versions
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    Fenggui LIU (2025). Reconstruction data of cultivated land on the Qinghai Tibet Plateau from Brahmaputra river and its two tributaries 3000 years ago [Dataset]. http://doi.org/10.11888/HumanNat.tpdc.301902
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    zipAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    TPDC
    Authors
    Fenggui LIU
    Area covered
    Description

    The reconstruction of historical land cover can not only provide basic data for the simulation of global change and ecological environment effects, but also contribute to the deep understanding of regional human-earth relationship. The Qinghai-Tibetan Plateau is of great ecological security significance to China, even to the world. Compared with other regions in China, the long-term land cover research on the Qinghai-Tibetan Plateau is weak. " Brahmaputra river and its two tributaries" area refers to the middle reaches of the the Yarlung Zangbo River and its main tributaries. This study first extracted the site data in 3000 years ago from the Atlas of Chinese Cultural Relics in Tibet Autonomous Region , and estimated the population of this period by using burial analysis method. Then, the cropland area was estimated by using the cropland area per person and data of population. We allocated the cropland area into grid by using the cropland allocated method. Thus, we obtained the cropland pattern in 3000 years ago in Brahmaputra river and its two tributaries. Finally, the data well presents the cropland pattern of Brahmaputra river and its two tributaries around 3000 years ago.

  18. Urbanization rate in China 2023, by region

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). Urbanization rate in China 2023, by region [Dataset]. https://www.statista.com/statistics/1088173/china-urbanization-rate-by-region-province/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, the urbanization rate in different provinces of China varied between 89.5 percent in Shanghai municipality and 38.9 percent in Tibet. The national average urbanization rate reached around 66.2 percent in 2023. Urbanization and economic development During China’s rapid economic development, the share of people living in cities increased from only 19.4 percent in 1980 to nearly 64 percent in 2020. Urbanization rates are now coming closer to those in developed countries. However, the degree of urbanization still varies significantly between different regions in China. This correlates generally with the level of economic development across different regions in China. In eastern Chinese regions with high personal income levels and high per capita GDP, more inhabitants are living in cities than in the countryside. Influence of geography Another reason for different urbanization rates lies in the huge geographic differences of regions in China. Basically, those regions with a low population density often also display lower urbanization rates, because their inhabitants live more scattered across the land area. These differences will most probably remain despite further economic progress.

  19. C

    China Population: Tibet: Lhasa: Mozhugongka

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China Population: Tibet: Lhasa: Mozhugongka [Dataset]. https://www.ceicdata.com/en/china/population-county-level-region/population-tibet-lhasa-mozhugongka
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2014
    Area covered
    China
    Variables measured
    Population
    Description

    Population: Tibet: Lhasa: Mozhugongka data was reported at 53.300 Person th in 2014. This records an increase from the previous number of 53.000 Person th for 2013. Population: Tibet: Lhasa: Mozhugongka data is updated yearly, averaging 50.000 Person th from Dec 2004 (Median) to 2014, with 11 observations. The data reached an all-time high of 53.300 Person th in 2014 and a record low of 40.000 Person th in 2005. Population: Tibet: Lhasa: Mozhugongka data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: County Level Region.

  20. C

    China CN: Population: Usual Residence: Urbanization Rate: Tibet

    • ceicdata.com
    Updated Dec 12, 2024
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    CEICdata.com (2024). China CN: Population: Usual Residence: Urbanization Rate: Tibet [Dataset]. https://www.ceicdata.com/en/china/population-urbanization-rate/cn-population-usual-residence-urbanization-rate-tibet
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    Dataset updated
    Dec 12, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Description

    Population: Usual Residence: Urbanization Rate: Tibet data was reported at 38.880 % in 2023. This records an increase from the previous number of 37.390 % for 2022. Population: Usual Residence: Urbanization Rate: Tibet data is updated yearly, averaging 16.765 % from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 38.880 % in 2023 and a record low of 7.080 % in 1970. Population: Usual Residence: Urbanization Rate: Tibet data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Urbanization Rate.

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CEICdata.com (2025). China Population: Census: Tibet: Lhasa [Dataset]. https://www.ceicdata.com/en/china/population-prefecture-level-city-by-census/population-census-tibet-lhasa

China Population: Census: Tibet: Lhasa

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Dataset updated
Oct 15, 2025
Dataset provided by
CEICdata.com
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 1, 2000 - Dec 1, 2020
Area covered
China
Variables measured
Population
Description

Population: Census: Tibet: Lhasa data was reported at 867.891 Person th in 12-01-2020. This records an increase from the previous number of 559.423 Person th for 12-01-2010. Population: Census: Tibet: Lhasa data is updated decadal, averaging 559.423 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 867.891 Person th in 12-01-2020 and a record low of 474.499 Person th in 12-01-2000. Population: Census: Tibet: Lhasa data remains active status in CEIC and is reported by Lhasa Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

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