全球数据

Cost of living data for global residentsNEW

  Living costs primarily refer to various expenses incurred between residential locations and residents' daily work-life circles. It is generally acknowledged that a life circle with a 5-kilometer radius serves as the baseline for calculating basic living costs, where deviations below or beyond this radius will correspondingly reduce or increase living expenses.

  CnOpenData's Global Resident Living Cost Data distinguishes between country and city levels, encompassing three major modules: global living costs, real estate prices, and quality of life. Living costs cover food prices, taxi fares, fuel prices, etc., while quality of life includes transportation, healthcare, pollution, safety, etc. This dataset provides robust support for related research.


Time Range

Time periods vary across different tables; see the specific sheets for details. (Updatable as needed)


Field Display

国家层面生活成本情况

城市层面生活成本情况

国家层面房地产价格情况

城市层面房地产价格情况

国家层面生活质量情况

城市层面生活质量情况


Sample Data

Due to the complex structure of this dataset and numerous sub-tables, this introduction page only showcases partial samples. Detailed field metrics and sample data can be viewed on the respective module branch pages located on the right.

国家层面生活成本结构表(美元)

国家层面生活成本结构表(本币)


Related Literature

  • Arch G. Woodside, Pedro Mir-Bernal, Teresa Sádaba, 2023, "How democracy and authoritarianism impact nations’ QOL and happiness: Applying complexity theory tenets in building and testing case-based models", Journal of Innovation & Knowledge.
  • Hsi-Chuan Wang, 2022, "Prioritizing compactness for a better quality of life: The case of U.S. cities", Cities.
  • Philipp Reichle, Jarko Fidrmuc, Fabian Reck, 2023, "The sharing economy and housing markets in selected European cities", Journal of Housing Economics.

Data Update Frequency

Annual updates