Living cost primarily refers to various expenses incurred between residential locations and individuals' daily work-life circles. It is generally recognized that a 5-kilometer radius constitutes the basic parameter for fundamental living cost calculation, with distances below or exceeding this range correspondingly decreasing or increasing living expenses.
CnOpenData's Global Resident Living Cost Dataset provides country-level and city-level differentiation, encompassing three core modules: living costs, real estate prices, and quality of life metrics. The living cost module includes food prices, taxi fares, and fuel costs, while quality of life indicators cover transportation, sanitation, pollution levels, and safety parameters, providing robust support for related research.
Time Range
Varies by table. See individual tables for details.
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
Given the dataset's complex structure with multiple sub-table variations, this introduction presents partial examples only. Detailed field specifications and complete sample data can be accessed through module-specific branch pages 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