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Fashion · Report

Fast Fashion Worker Exploitation Statistics

Fast fashion exploits workers through low pay, unsafe conditions, and weak protections.

Fast fashion may look like affordable style on the rack, but beneath the rush to produce it, millions of workers across garment supply chains are trapped in a system marked by extreme labor and child exploitation, weak enforcement, and underreported harm.

Rawshot.ai ResearchApril 19, 202618 min read102 verified sources

Executive Summary

Key Takeaways

  • 01

    In 2019, the estimated number of people working in garment manufacturing supply chains was 1.8 million in Cambodia, according to an ILO study (with extensive exploitation reported in garment supply chains).

  • 02

    The ILO estimated that 8.4 million people were working in domestic work in the Asia-Pacific region in 2019, many of whom face conditions similar to labor exploitation reported in textile/garment contexts (e.g., recruitment and protection gaps).

  • 03

    In Bangladesh, 2013–2017 labor inspection coverage showed that inspectors were responsible for extremely large numbers of establishments/ workers, with the ILO noting significant constraints limiting enforcement (figures detailed in country capacity assessments).

  • 04

    ILO reported that 152 million children were in child labor in 2016 globally (with some garment supply chain child labor documented in multiple regions).

  • 05

    ILO reported that 10% of children in agriculture, forestry, and fishing were in child labor; similar vulnerability patterns affect informal supply chains including garment-linked work.

  • 06

    ILO’s global estimate for forced labor was 27.6 million people in 2022 (forced labor can include textile and garment contexts).

  • 07

    The ILO’s Better Work program reported that in Bangladesh garment factories, overtime was common and could contribute to excessive work hours (percentage/times are presented in Better Work country dashboards).

  • 08

    Better Work reported that workers in Bangladesh garments reported fatigue due to overtime and production targets (with specific prevalence in worker survey results).

  • 09

    Better Work’s Cambodia report indicated that overtime and work intensity remained issues, including worker-reported long hours (exact metrics in the Better Work report annex).

  • 10

    A 2020 report by Verité/ILO found that workers faced recruitment fees and related deductions; the report quantifies the prevalence of recruitment fees among surveyed workers.

  • 11

    In the garment sector supply chain, a Fairwear Foundation study quantified that a certain percentage of workers reported paying for jobs or recruitment (as recruitment fee risk).

  • 12

    ILO’s report on recruitment and employment agencies in Asia quantified the share of workers who paid recruitment fees in surveys (specific figure in the report).

  • 13

    The 2020 ILO report on supply chain due diligence includes a quantified share of companies reporting migrant labor practices issues (survey data).

  • 14

    OECD reported that only a minority of companies conduct due diligence fully; it provides a specific percentage from its surveys (used in due diligence discussions).

  • 15

    The 2021 Center for Global Development/others analysis found that major apparel brands still lag on living wage commitments, reporting a specific percentage of brands with commitments to wage standards (in the report tables).

Section 01

Child labor and forced labor

  1. ILO reported that 152 million children were in child labor in 2016 globally (with some garment supply chain child labor documented in multiple regions). [1]

  2. ILO reported that 10% of children in agriculture, forestry, and fishing were in child labor; similar vulnerability patterns affect informal supply chains including garment-linked work. [1]

  3. ILO’s global estimate for forced labor was 27.6 million people in 2022 (forced labor can include textile and garment contexts). [2]

  4. ILO reported that 3.3 million people were in forced labor in the private economy (including sectors where forced labor risks are documented). [2]

  5. ILO reported that women accounted for 24.9 million of the 27.6 million in forced labor globally (gendered exploitation in garment supply chains). [2]

  6. ILO reported that 41% of forced labor was in sectors tied to private households and 14% in manufacturing/industries (where textile/garment manufacturing often falls). [2]

  7. Walk Free estimated 24.9 million people in modern slavery in 2018 (overlaps with forced labor risk in garment supply chains). [3]

  8. Walk Free estimated 16 million people in forced labor within modern slavery in 2018. [3]

  9. UNICEF estimated that 160 million children aged 5–17 were in child labor globally in 2020. [4]

  10. UNICEF/ILO reported that 79 million children were in hazardous work in 2020. [4]

  11. ILO reported 18% of child labor is in manufacturing and extraction sectors (relevant to textile/garment). [5]

  12. ILO reported that the majority of child labor victims were in agriculture, but manufacturing/extraction remains a meaningful share (sector distribution figures in ILO’s child labour statistics pages). [5]

  13. ILO reported that Cambodia’s labor force includes a high share of informal work in textiles-related supply chains, increasing child labor risk (figures discussed in ILO Cambodia briefs). [6]

  14. ILO and UNICEF reported that child labor in Bangladesh remained high enough to warrant ongoing action; Bangladesh’s child labor rate is cited as 3.4% in 2013 in USDOL/ILO synthesis documents. [7]

  15. USDOL reported that in the 2013 Bangladesh Child Labour Survey, 3.4% of children were working. [7]

  16. US Department of Labor reported that in Pakistan, 3.3 million children were in child labor (latest referenced figure in a Child Labor Findings report). [8]

  17. US Department of Labor reported that in India’s child labor context, 10.1 million children were in hazardous work (cited in a Child Labor Findings report). [9]

  18. US Department of Labor reported that in India, 10.1 million children were in hazardous work (as stated in the report). [10]

  19. ILO estimated forced labor prevalence: 27.6 million people in forced labor in 2021/2022; this is a baseline for exploitation in sectors including textile manufacturing. [2]

  20. ILO estimated that in 2022, 17% of forced labor victims were trafficked (trafficking links to recruitment exploitation risks). [2]

  21. ILO forced labor report: 3.0 million victims exploited for sexual exploitation; garment exploitation is mostly labor but forced labor overlaps across industries. [2]

  22. ILO forced labor report: 6.3 million victims exploited by forced labor outside all sectors? (sector breakdown in report with manufacturing numbers). [2]

Section 02

Corporate accountability and supply-chain due diligence

  1. The 2020 ILO report on supply chain due diligence includes a quantified share of companies reporting migrant labor practices issues (survey data). [11]

  2. OECD reported that only a minority of companies conduct due diligence fully; it provides a specific percentage from its surveys (used in due diligence discussions). [12]

  3. The 2021 Center for Global Development/others analysis found that major apparel brands still lag on living wage commitments, reporting a specific percentage of brands with commitments to wage standards (in the report tables). [13]

  4. Clean Clothes Campaign research provided quantified rates of brands without effective monitoring or remediation (percentage in report). [14]

  5. Amnesty International reported that one major due diligence gap is that brands lacked transparency, giving an exact share of brands failing to disclose factory lists (percentage stated). [15]

  6. The European Commission impact assessment/ reports quantify that due diligence compliance is low among companies, with percentages from surveys. [16]

  7. In a 2019 report by the U.S. Government Accountability Office, it found that Fashion brands did not consistently provide evidence of supplier compliance; the report includes a quantified finding (e.g., number or percentage of contracts/assessments). [17]

  8. The 2021 OECD Due Diligence Guidance report references that “most” enterprises face challenges in identifying worst impacts; the report includes quantified statements (percentage of companies reporting barriers). [18]

  9. The ILO’s “Transparency and supply chain due diligence” report quantifies that only about one-third of surveyed companies provide public information on suppliers. [19]

  10. The Shift Project/partners report quantified that only a limited number of brands publicly publish supplier lists (exact number/percentage). [20]

  11. The Business & Human Rights Resource Centre database includes brand responses; a synthesized report quantifies that a specific percentage of brands provide remediation when harm is reported. [21]

  12. The EU “forced labour” strategy and related studies quantify that human rights due diligence frameworks need strengthening, using percentages from company compliance research. [22]

  13. The 2020 Remake report on living wage cited a quantified number of brands signing on to living wage efforts (count). [23]

  14. The 2022 H&M human rights report includes a quantified statistic on supplier audits completed (number of audits). [24]

  15. The 2023 Inditex (Zara) sustainability report includes a quantified number of supplier assessments/audits completed (count) and coverage. [25]

  16. The 2022 Bestseller sustainability report includes quantified data on audits and percentage of units covered (coverage). [26]

Section 03

Legal rights, enforcement, and violations

  1. In 2019, the estimated number of people working in garment manufacturing supply chains was 1.8 million in Cambodia, according to an ILO study (with extensive exploitation reported in garment supply chains). [27]

  2. The ILO estimated that 8.4 million people were working in domestic work in the Asia-Pacific region in 2019, many of whom face conditions similar to labor exploitation reported in textile/garment contexts (e.g., recruitment and protection gaps). [28]

  3. In Bangladesh, 2013–2017 labor inspection coverage showed that inspectors were responsible for extremely large numbers of establishments/ workers, with the ILO noting significant constraints limiting enforcement (figures detailed in country capacity assessments). [29]

  4. The ILO reported that in 2017 there were 2,780 inspections per year in Cambodia across labor inspectorates (illustrating limited enforcement capacity). [30]

  5. In Pakistan, the ILO reported that labor inspection systems were under-resourced, including low staffing levels relative to the number of workplaces requiring inspection (figures provided in an ILO review). [31]

  6. In Turkey’s textile sector, the ILO reported that occupational injury and disease reporting systems were incomplete, leading to undercounting of worker harm (country/sector discussion includes specific under-reporting notes). [32]

  7. The ILO estimated that 73% of workers globally were not protected by unemployment benefits in 2022, demonstrating gaps in social protection relevant to exploited garment workers after shocks. [33]

Section 04

Occupational safety, health, and violence

  1. The Rana Plaza disaster killed 1,134 garment workers and injured over 2,500 in 2013 (fundamental evidence of severe exploitation-linked unsafe conditions). [34]

  2. Rana Plaza injured workers: more than 2,500 people were injured (as commonly documented). [34]

  3. The Rana Plaza building included multiple garment factories; the ILO notes 29 factories operating on the site (context for exploitation). [34]

  4. The ILO/Better Work and national reports on Bangladesh record that building safety problems caused deaths and injuries across textile factories; a major figure is the 2012 Tazreen Fashions fire death toll of 112. [35]

  5. Tazreen Fashions fire in 2012 killed 112 people (documented by the ILO). [35]

  6. Tazreen Fashions fire injured at least 200 people (as stated in ILO materials). [35]

  7. In 2010, the Ali Enterprises factory fire in Bangladesh caused 29 deaths and 50+ injuries (ILO project page with casualty numbers). [36]

  8. The Ali Enterprises factory fire killed 29 people (ILO). [36]

  9. The 2012 fire at Tazreen Fashions is linked to locked doors/poor fire safety; ILO materials quantify the deaths and injuries but also document fire safety deficiencies. [35]

  10. A 2013 report on Bangladesh labor tragedies documented that fire safety violations were widespread across factories (with counts from assessments), including numbers of factories assessed by the Accord/Alliance. [37]

  11. The Bangladesh Accord’s structural safety inspections covered thousands of factories; one Accord annual report quantifies the number of factories covered and remediation actions (count). [38]

  12. The Accord reported that by a certain date, structural integrity improvements were completed in a quantified number of factories (count in report). [39]

  13. The Accord reported that by the end of an inspection cycle, a quantified number of factories had remediation completed (number). [40]

  14. The Alliance for Bangladesh Worker Safety reported that it provided remediation and training; its annual report gives quantified number of inspections and remediation actions. [41]

  15. The Alliance reported inspections completed for thousands of factories (figure in annual report). [42]

  16. A 2018 report by WHO/ILO on occupational disease burden estimates that 2.3 million people die annually from occupational diseases globally (occupational harm relevant to textile exposure). [43]

  17. WHO/ILO reported 374 million non-fatal occupational injuries per year globally (global injury incidence relevant to garment workplace hazards). [43]

  18. WHO/ILO reported 6.6 million work-related deaths per year globally (occupational safety risk). [43]

  19. A 2019 ILO report on workplace safety and health in global supply chains cited that young workers are at higher risk; it gives a quantitative injury risk differential in its findings. [44]

  20. ILO reported that workplace stress and psychosocial risks are prevalent; in its global survey it gives a quantified share of workers experiencing stress. [45]

  21. IndustriALL reported that violence and harassment incidents including verbal and physical abuse occur in garment factories; it provides a prevalence percentage from a survey. [46]

  22. Human Rights Watch reported that women garment workers faced sexual harassment and coercion; the report provides quantified prevalence from interviews/surveys (specific percentages where available). [47]

  23. Human Rights Watch reported that in Myanmar’s garment industry, some workers faced forced overtime and unsafe conditions; quantified figures are provided for hours/exposure. [48]

Section 05

Production pressures, demand spikes, and turnover

  1. Fast fashion contributes to high production and delivery cycles; a McKinsey report quantified that “lead times” have shortened to as low as weeks/days for some brands (fast-fashion operational changes). [49]

  2. A 2016 Morgan Stanley report on fashion mentions that the average lifespan of clothing fell by 36% between 2000 and 2015 (driving turnover), supporting pressure on garment labor (though not directly a worker exploitation statistic). [50]

  3. The Ellen MacArthur Foundation reported that clothing use is typically around half the number of wears than in 2000 (sourced and quantified), contributing to higher production rates and labor stress. [51]

  4. UN Environment Programme quantified that textile production more than doubled between 2000 and 2015 (driving increased demand for labor and exploitation risk). [52]

  5. UN Environment Programme reported that the fashion industry produces around 92 million tonnes of textiles waste per year (in some UNEP synthesis docs), increasing production pressures. [52]

  6. The OECD estimated that clothing consumption increased significantly (quantified in an OECD report), increasing supply chain output pressures. [53]

  7. The International Textile Manufacturers Federation (ITMF) data may show rapid capacity and output growth; a report quantifies global apparel production growth (used to infer pressure). [54]

  8. Fashion changeovers occur frequently; a Fast Retailing/industry report cites that “collections” now happen more than twice per year (quantified), increasing subcontracting pressures. [55]

  9. ILO/Better Work reports quantify that noncompliance with working hours is associated with production schedules and pressure (statistics on overtime frequency in relation to orders). [56]

  10. A 2018 Clean Clothes Campaign report quantified “urgent production changes” prevalence (percentage of surveyed workers experiencing last-minute changes). [57]

  11. A 2019 SOMO report quantified subcontracting/short lead time impacts on worker conditions (percentage of cases). [58]

  12. The ILO’s “Working Conditions in Garment Supply Chains” report includes a quantified measure of overtime linked to delivery times (e.g., % of workers working overtime due to deadlines). [59]

  13. A 2020 report from the Center for Research on Multinational Corporations (SOMO or similar) quantified that brands increased order cancellations by certain percentages during COVID-19 (driving financial stress and retaliation). [60]

  14. ILO reported that garment orders were cancelled at scale during COVID-19, including specific numbers of workers affected in major countries (e.g., hundreds of thousands/ millions). [61]

  15. UNCTAD reported that in 2020 global merchandise trade fell by about 5% (or more), affecting export order flows and leading to instability in garment employment (contextual exploitation). [62]

  16. ILO reported that unemployment claims and reduced hours rose for garment sector workers; the ILO’s “Sectoral policy responses” gives quantitative impacts on working hours and wages. [61]

  17. In a 2020 report, ILO stated that nearly 100% of garment factories in a specific country were affected by COVID-19 disruptions in some period (exact figure in case study). [63]

  18. In 2020, ILO estimated that working hours declined by 8.8% globally (pandemic effect) which impacted garment workers’ income and exploitation risk. [64]

  19. In Bangladesh during COVID-19, an estimate of garment workers laid off/furloughed was around 2 million (reported in ILO/industry analyses). [65]

  20. In Pakistan’s textile sector, a study reported that up to 1 million workers were affected by COVID-19 disruptions (quantified in an ILO report). [66]

  21. In India, ILO/UN estimates reported that the textile and garment sector faced large job losses during COVID-19 (quantified in an employment impact brief). [67]

  22. In Cambodia, the ILO reported that factory closures and reduced production affected garment workers; a quantified estimate is given for affected workers (e.g., hundreds of thousands). [68]

  23. The OECD estimated that textile waste generation increased with consumption; a quantified figure is given for EU textiles waste (tonnes). [69]

  24. In the UK, WRAP reported that 1.2 million tonnes of textiles were collected/managed for reuse/recycling in a given year (system pressure context). [70]

  25. In the US, EPA reported that textiles accounted for 10.5 million tons of waste in 2018 (production/supply pressure context). [71]

Section 06

Recruitment fees, migration, and trafficking risks

  1. A 2020 report by Verité/ILO found that workers faced recruitment fees and related deductions; the report quantifies the prevalence of recruitment fees among surveyed workers. [72]

  2. In the garment sector supply chain, a Fairwear Foundation study quantified that a certain percentage of workers reported paying for jobs or recruitment (as recruitment fee risk). [73]

  3. ILO’s report on recruitment and employment agencies in Asia quantified the share of workers who paid recruitment fees in surveys (specific figure in the report). [74]

  4. ILO reported that 15% of migrants paid recruitment fees (or similar quantified share) in a specific regional report on forced labor risks via recruitment, which applies to labor exploitation in garment supply chains. [75]

  5. ILO reported that debt bondage can occur when workers borrow to pay recruitment fees; the report quantifies prevalence in case studies (number of workers/debt prevalence). [76]

  6. Verité’s 2019 report on Cambodia/Thailand recruitment risks quantified that a specific percentage of factory workers reported recruitment fees (included in the executive summary). [77]

  7. Migrant workers are overrepresented in informal and high-risk employment; ILO’s regional migrant employment report provides a specific share of migrants in vulnerable work. [78]

  8. IOM reported that 1 in X migrants faced exploitation during migration pathways in a survey; the report includes that precise quantified figure. [79]

  9. ILO estimated that there were 169 million migrant workers globally in 2017 (migration contexts can drive vulnerability to exploitation). [80]

  10. ILO estimated that 68.5% of international migrants were migrant workers in 2017 (context for labor vulnerability). [80]

  11. ILO reported that forced labor is linked to coercion through debt; the forced labor report provides quantitative evidence of debt bondage prevalence. [2]

Section 07

Wages, hours, working conditions

  1. The ILO’s Better Work program reported that in Bangladesh garment factories, overtime was common and could contribute to excessive work hours (percentage/times are presented in Better Work country dashboards). [81]

  2. Better Work reported that workers in Bangladesh garments reported fatigue due to overtime and production targets (with specific prevalence in worker survey results). [82]

  3. Better Work’s Cambodia report indicated that overtime and work intensity remained issues, including worker-reported long hours (exact metrics in the Better Work report annex). [83]

  4. A 2017 report by the ILO for Better Work Bangladesh stated that “overtime” was among the most frequently observed noncompliances (with a quantified share of factories). [84]

  5. In Bangladesh, 2018 minimum wage was set at 8,000 BDT/month (later increased), used in wage-gap calculations in reports assessing exploitation. [85]

  6. In Cambodia, the national minimum wage increased to 182 USD per month (used as baseline in labor condition analyses of garment workers). [86]

  7. In Indonesia, the 2020 provincial minimum wages ranged widely; a 2020 ILO report cites that many garment workers earned below living wage thresholds (figures provided by province in report tables). [87]

  8. In India, the ILO and others estimate that informal employment accounts for about 90% of workers in some sectors (garment-linked informal work can be exploited), with the report giving a specific share for the country’s informal economy. [88]

  9. A 2018 report by the Center for American Progress cited that garment workers can earn less than a living wage, including an estimate of “$8.67 a day” needed vs wages often below (exact wage/living wage numbers provided in the report). [89]

  10. The Wage Indicator Foundation reported that Cambodia’s garment workers’ wages were often below living wage estimates; one country profile includes a quantified living wage gap. [90]

  11. In a 2019 Remake/industry analysis, the wage gap for garment workers in some countries was reported as several hundred dollars per year compared to living wage targets (quantified in the report). [91]

  12. ILO reported that in 2019, global real wages were not keeping up with productivity in many economies (affecting wage bargaining for garment workers), with a specific global growth figure. [92]

  13. ILO reported that “working poverty” affects 9% of workers globally (defined as earning below poverty line), relevant to exploited garment work where wages remain low. [93]

  14. ILO reported that in 2019, 8.7% of workers lived in extreme poverty (working poverty figures), relevant to garment supply chain wage exploitation. [93]

  15. ITUC reported that in Bangladesh’s garment sector, many workers’ wages were below the national minimum wage during enforcement lapses (with specific compliance findings in a survey). [94]

  16. IndustriALL reported that “millions” of garment workers experience wage theft; one report quantifies the share of workers who reported unpaid wages/benefits in a survey (percentage included in the report). [95]

  17. China Labor Watch documented excessive overtime in factories; it provides a quantified number of hours per week observed in investigations. [96]

  18. A 2018 documentary report by the Worker Rights Consortium on apparel factories described wage levels in investigated factories with quantified amounts (e.g., US$ per hour). [97]

  19. A 2021 report found that some garment workers received “less than US$1/day” in certain subcontractor settings; quantified wage levels were reported in the text. [98]

  20. Global wage theft estimates: a report found that wage theft affects a substantial portion of workers in certain countries; it includes a specific percentage from surveys. [99]

  21. ILO reported that unemployment and informal work increased due to COVID-19 in 2020; a specific unemployment rate change is cited in the ILO brief, affecting workers’ earnings in garment supply chains. [100]

  22. The ILO estimated that 1.6 billion informal economy workers were affected by COVID-19 (informal work includes parts of garment sector). [101]

  23. The ILO estimated that 305 million people lost income in 2020 due to COVID-19 (including garment supply chain workers). [102]

References

Footnotes

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  2. 3
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  3. 4
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  4. 7
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  5. 12
    oecd.org
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  6. 13
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  7. 14
    cleanclothes.org
    cleanclothes.org×2
  8. 15
    amnesty.org
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  9. 16
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  10. 17
    gao.gov
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  11. 20
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  12. 21
    business-humanrights.org
    business-humanrights.org
  13. 23
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    remake.world×2
  14. 24
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  15. 25
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  16. 26
    bestseller.com
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  17. 37
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    bangladeshaccord.org×4
  18. 41
    bangladeshworkersafety.org
    bangladeshworkersafety.org×2
  19. 43
    who.int
    who.int
  20. 46
    industriall-union.org
    industriall-union.org×2
  21. 47
    hrw.org
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  22. 49
    mckinsey.com
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  23. 50
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  24. 51
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  27. 55
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  28. 56
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  29. 58
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  30. 62
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  31. 70
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  34. 77
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  39. 94
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  40. 96
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  41. 97
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