China’s Gig Economy Boom Cools, Widening a Blue-Collar Divide

1. China's blue-collar labor market is undergoing a significant shakeout, with once-fast-growing jobs like ride-hailing, trucking, and livestreaming shrinking, while higher-skilled workers with better customer ratings pull ahead [para. 1]. The total number of blue-collar workers reached approximately 427 million in 2025, up slightly from 425 million in 2024, but growth slowed sharply [para. 2]. Occupations that posted double-digit growth a year earlier, such as domestic helpers, food-delivery riders, and parcel couriers, expanded by only 3% to 6%, while ride-hailing drivers, truck drivers, and livestreamers actually declined in number [para. 2]. These figures, released in June 2026 by the China Center for New Employment Forms, indicate a labor market whose size and structure are changing [para. 3][para. 4].

2. Specific occupational shifts are notable. Domestic work remained the largest blue-collar occupation in 2025 with 46.8 million workers, but its growth rate plummeted from 28.57% in 2024 to just 4% [para. 6]. Ride-hailing drivers ranked second at 37.24 million, followed by truck drivers (18.13 million) and livestreamers (17.46 million); all three groups declined by 2% and 3% respectively in 2025 after strong growth the previous year [para. 7]. Food-delivery riders and parcel couriers still grew, but at much slower rates of 6% and 3%, down from over 13% [para. 8]. These changes reflect competitive dynamics: intense food-delivery battles prompted aggressive hiring in 2025, while ride-hailing faced oversupply, as evidenced by a risk warning from Shenzhen's transport bureau noting market saturation and low daily order volumes [para. 9][para. 10].

3. Average monthly income for blue-collar workers rose to 6,230 yuan ($919), and the income gap with white-collar workers narrowed from 3,344 yuan in 2013 to 2,250 yuan, projected to shrink further to around 2,000 yuan by 2027 [para. 11]. Within the blue-collar workforce, three clear income tiers have emerged: the high-income group (maternity nannies at 10,128 yuan, food-delivery riders at 8,325 yuan, truck drivers at 8,279 yuan), the middle-income group (parcel couriers at 6,360 yuan, manufacturing workers at 6,013 yuan, ride-hailing drivers at 6,215 yuan), and the basic-income group (security guards at 4,592 yuan, sanitation workers at 3,928 yuan) [para. 12][para. 13]. Food-delivery riders saw a 10.5% three-year compound annual growth in income, driven by instant service demand, while ride-hailing drivers' income actually fell at 1.7% annually [para. 14].

4. The basis of competition is shifting from physical effort and long hours toward skills and reputation, with platform star-rating systems allowing better-rated workers to receive higher unit prices and more orders [para. 15]. For example, "gold medal" maternity nannies can earn over 25,000 yuan a month, and experienced food-delivery riders over 12,000 yuan [para. 16]. Among ride-hailing drivers on Didi's platform in Guangzhou, those with reputation scores above 603 earned 26% more weekly than those below 563 [para. 17]. This trend indicates labor allocation is returning to real demand, moving away from a demographic dividend toward tapping professional value and long-term job appeal [para. 18].

5. The number of flexible workers in China reached about 280 million as of 2025, projected to hit 320 million in 2026, accounting for over 40% of urban employment and shifting from a labor market supplement to a major pillar [para. 19][para. 20]. Platform-based blue-collar work offers more "standardized stability" through algorithmic optimization, improving stability for workers [para. 21]. The average monthly attrition rate for food-delivery riders fell from 27.5% in 2024 to 22% in 2025, and for parcel couriers from 30.23% to 25%; however, ride-hailing drivers and truck drivers saw slight increases due to fewer jobs and fiercer competition [para. 22]. County-level markets are emerging as a new growth engine, with platform-based digital blue-collar workers increasingly working closer to home, and instant-retail markets in counties growing much faster than in first- and second-tier cities [para. 23][para. 24].

6. Despite improvements, flexible blue-collar workers face a structural dilemma: basic survival needs are largely protected (91.5% basic medical insurance, 86.2% occupational-injury coverage), but development prospects remain limited, with only 42.3% confidence in retirement planning and 54.8% in career-advancement opportunities [para. 25][para. 26]. The report notes a deeper contradiction: workers may have a temporary sense of security but lack a sense of control over the future, making the leap from "having work" to "having prospects" an urgent problem [para. 27]. Traditional blue-collar employment, such as migrant workers, continues to lag in income, working hours, and protections. China had 301 million migrant workers in 2025, with manufacturing employment rising to 28.2% and construction falling to 13.8% [para. 28][para. 29]. Their average monthly pay was 5,075 yuan, with construction workers earning the most at 5,880 yuan [para. 30][para. 31].

7. Traditional blue-collar jobs often involve longer wage-settlement cycles and higher risk of wage arrears: in construction, the average settlement cycle is 45 to 60 days, and 73% of surveyed construction workers had experienced wage arrears [para. 32]. Manufacturing workers averaged 58.3 hours a week, with 42% working beyond the legal standard, and 83% of those with caregiving responsibilities said working hours made it difficult to meet those needs [para. 33]. Only 32% of traditional blue-collar workers had work-injury insurance, and for construction workers it was just 28%; in 71% of occupational-injury cases, workers bore most medical costs themselves [para. 34]. A front-line electronics worker described a base salary of about 2,450 yuan, relying on overtime to reach 4,000-5,000 yuan monthly [para. 35]. Platform-based blue-collar services have become a transition path, but as growth slows and skills matter more, traditional workers' income growth and career transitions will depend on more skills training and public employment services [para. 36].