Key Takeaways
- By end of 2020, over 5.8 million companies were blacklisted nationally for violations
- Over 33 million enterprises participated in the social credit evaluation system by 2021 across 43 pilot cities
- National blacklist for dishonest enterprises reached 7.68 million entries by end-2022
- 2018 saw 4.7 million individuals restricted from luxury purchases like high-end hotels due to low scores
- By mid-2019, 10.14 million people blacklisted by Supreme People's Court for unfulfilled judgments
- In 2021, 2.5 million individuals delisted after fulfilling obligations, improving scores
- In 2022, 15% of surveyed urban residents reported improved behavior due to social credit incentives
- Hangzhou's Joyful Credit program covered 1.8 million citizens with tiered rewards by 2020
- High scorers in Suzhou received priority healthcare services for 12% of population in 2019
- In Rongcheng, Shandong, 1.3 million residents received social credit scores by 2019 with average score of 82.5 out of 100
- 43 pilot cities implemented local social credit systems by 2020, covering 60% of urban population
- Ningbo's system blacklisted 150,000 individuals by 2018, affecting 8% local adults
- As of 2018, 17.5 million air tickets were denied to individuals with low social credit scores due to blacklist entries
- In 2019, nearly 28 million high-speed rail tickets were blocked for blacklisted debtors, marking a 60% increase from previous year
- Cumulative total of 23 million train ticket bans issued from 2014 to 2019 for social credit defaulters
China’s social credit system has blacklisted millions while granting rewards, with nationwide data and restrictions expanding rapidly.
Related reading
01 · Category
Corporate and Business Credit14 stats
Corporate and Business Credit Interpretation
02 · Category
Individual Blacklisting19 stats
Individual Blacklisting Interpretation
03 · Category
Rewards and Benefits17 stats
Rewards and Benefits Interpretation
More related reading
04 · Category
System Coverage and Development17 stats
System Coverage and Development Interpretation
05 · Category
Travel Restrictions19 stats
Travel Restrictions Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Emilia Santos. (2026, February 24). China Social Credit Statistics. Gitnux. https://gitnux.org/china-social-credit-statistics
Emilia Santos. "China Social Credit Statistics." Gitnux, 24 Feb 2026, https://gitnux.org/china-social-credit-statistics.
Emilia Santos. 2026. "China Social Credit Statistics." Gitnux. https://gitnux.org/china-social-credit-statistics.
Sources & references
9 datasets cited across this report · attribution is report-level

