Key Takeaways
- 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
- 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
- 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
- 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
China's social credit system restricts and rewards millions of individuals.
Corporate and Business Credit
- 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
- Corporate redlists rewarded 1.2 million firms with expedited customs in 2021
- High-credit enterprises accessed 15% more loans, benefiting 800,000 SMEs in 2022
- Environmental violators among firms: 450,000 blacklisted in 2021
- Corporate credit reports issued 1.6 billion times in 2022
- False advertising blacklisted 200,000 firms since 2018
- Food safety violators: 50,000 firms blacklisted in 2022
- Antitrust violations led to 12,000 corporate blacklists in 2021
- 2021 corporate blacklist removals: 1.4 million firms
- Labor rights violators: 35,000 firms blacklisted in 2023
- Substandard products led to 120,000 corporate blacklists 2020-2022
- Price gouging blacklists: 8,000 firms during COVID peaks
Corporate and Business Credit Interpretation
Individual Blacklisting
- 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
- 128 million judicial dishonesty cases tracked nationally by 2023
- Annual addition of 13 million blacklist entries for individuals in 2019
- 37 million cumulative individual blacklist entries since 2014 as of 2021
- In 2018, 300,000 children of blacklisted parents denied school admissions in some areas
- Shanghai blacklisted 1.1 million individuals by 2020 for traffic violations
- Debt-related blacklists peaked at 16 million individuals in 2022
- 85% compliance rate post-blacklisting in judicial cases, per 2020 data
- 2023 data: 9.5 million new individual blacklist additions
- Tax evasion led to 1.8 million individual blacklists in 2020
- 12 million judicial blacklists resolved by payments in 2021
- 2022 blacklist peak: 18.2 million individuals nationwide
- Welfare fraud blacklists: 900,000 cases in 2020
- Henan province delisted 400,000 after compliance in 2022
- Intellectual property infringers blacklisted: 2.1 million cases since 2019
- 55 million total blacklist actions against individuals 2014-2023
- 14.5 million court-related blacklists active in 2023
Individual Blacklisting Interpretation
Rewards and Benefits
- 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
- 2020 survey showed 80% of participants believed system promotes trust
- Top 10% scorers in pilot areas got 20% discounts on utilities for 2 million households
- 25% increase in charitable donations linked to score boosts for 1.5 million in 2020
- Reward programs offered free park access to top 5% scorers, 4 million beneficiaries yearly
- 150+ redlist criteria defined nationally for rewards by 2023
- 70% of blacklisted firms improved ratings within 6 months in pilots
- Top scorers got priority housing lotteries, aiding 500,000 families
- Green credit rewards for eco-firms: 300,000 beneficiaries with lower rates
- High scorers received 10% education fee reductions for 1 million students
- Volunteer hours boosted scores for 3 million participants yearly
- Public transport priority for high scorers in 20 cities, 2.8 million users
- Donation-linked score uplifts averaged +5 points for 800,000 in 2021
- Healthcare priority queues for top 20% scorers, 6 million annually
- Job priority for high scorers in state firms, 1.1 million placed 2022
Rewards and Benefits Interpretation
System Coverage and Development
- 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
- By 2022, 90% of prefecture-level cities had local social credit platforms operational
- 2,300 local regulations integrated into social credit by 2023 across provinces
- Rongcheng model expanded to 5 provinces, scoring 5 million residents by 2021
- National platform integrated data from 50 ministries by 2022
- Guizhou province scored 8 million rural residents by 2022
- 80 cities piloted personal scoring systems by 2021
- Fujian integrated social credit with 300+ apps for 12 million users
- National social credit law drafted covering 1.4 billion people by 2023
- Shenzhen's system evaluated 10 million transactions daily by 2022
- 65% of urban Chinese aware of system per 2021 survey
- 250 local scorecards operational by 2023
- Data from 80 billion records integrated into national platform by 2022
- 95% of provinces have unified platforms by 2023
- 1.2 billion data points updated monthly on national system
System Coverage and Development Interpretation
Travel Restrictions
- 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
- 6.7 million luxury consumption restrictions applied in 2018, including golf club memberships and private jets
- From 2014-2020, total travel bans exceeded 40 million instances across planes and trains
- 5 million high-speed rail bans in first half of 2019 alone
- 11.2 million plane tickets denied in 2020 despite pandemic
- Total luxury bans reached 30 million by 2022, including tobacco and schooling
- 2021 saw 7 million train bans, highest annual figure
- Beijing restricted 2 million from public services in 2019
- Plane bans totaled 32 million cumulatively by 2022
- High-speed rail restrictions hit 8.3 million in 2022
- 4.2 million denied luxury hotels in 2021
- Train bans averaged 2.5 million quarterly in 2022
- Cumulative plane bans reached 38 million by 2023
- 3.9 million restricted from private jets and yachts in 2020
- Golf memberships banned for 1.2 million blacklisted in 2022
- 2023 train bans: 9.1 million instances
- Luxury tobacco bans for 7.5 million since inception
Travel Restrictions Interpretation
Sources & References
- Reference 1SCMPscmp.comVisit source
- Reference 2REUTERSreuters.comVisit source
- Reference 3MERICSmerics.orgVisit source
- Reference 4BBCbbc.comVisit source
- Reference 5LINKlink.springer.comVisit source
- Reference 6CHINACENTERchinacenter.netVisit source
- Reference 7COURTcourt.gov.cnVisit source
- Reference 8CREDITcredit.ses.gov.cnVisit source
- Reference 9GOVgov.cnVisit source






