GITNUXREPORT 2026

Shopping Addiction Statistics

Shopping addiction is a widespread global mental health disorder affecting millions.

Sarah Mitchell

Sarah Mitchell

Senior Researcher specializing in consumer behavior and market trends.

First published: Feb 13, 2026

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Key Statistics

Statistic 1

33% of cases involve substance abuse comorbidity

Statistic 2

Depression rates 61% in shopping addicts

Statistic 3

Anxiety disorders 41.4% co-occurrence

Statistic 4

Eating disorders 36% comorbidity

Statistic 5

Substance use disorders 21-30%

Statistic 6

26% have alcohol dependence

Statistic 7

Bipolar disorder 16% overlap

Statistic 8

PTSD in 20% of compulsive buyers

Statistic 9

Obesity rates 45% higher

Statistic 10

Sleep disorders 52% prevalence

Statistic 11

39% nicotine dependence

Statistic 12

Personality disorders 38%

Statistic 13

Suicidality 1.5x elevated risk

Statistic 14

Chronic pain syndromes 28%

Statistic 15

44% social phobia

Statistic 16

Diabetes management poor in 32%

Statistic 17

25% pathological gambling dual diagnosis

Statistic 18

Hypertension 37% comorbidity

Statistic 19

Self-harm behaviors 19%

Statistic 20

31% hypochondriasis traits

Statistic 21

Cardiovascular issues 27% higher

Statistic 22

23% internet addiction overlap

Statistic 23

Migraine frequency 2x

Statistic 24

34% dissociative disorders

Statistic 25

GI disorders 29%

Statistic 26

17% schizophrenia spectrum

Statistic 27

Autoimmune diseases 22% elevated

Statistic 28

46% somatic symptom disorder

Statistic 29

Women comprise 80-95% of diagnosed compulsive buyers

Statistic 30

Average age of onset for shopping addiction is 19-24 years

Statistic 31

75% of compulsive buyers are female in clinical samples

Statistic 32

Shopping addiction peaks in 30-39 age group for women

Statistic 33

Higher prevalence among urban dwellers (7.2%) vs rural (3.1%)

Statistic 34

Single individuals 2x more likely than married to have CBD

Statistic 35

College students show 10-15% prevalence, mostly females

Statistic 36

Low-income groups have 9% rate vs 4% high-income

Statistic 37

Caucasians 6.1%, African Americans 5.9% prevalence in US

Statistic 38

Young adults 18-25: 12% affected

Statistic 39

Professionals (white-collar) 7.5% vs blue-collar 4.2%

Statistic 40

Divorced/widowed 8.3% prevalence

Statistic 41

LGBTQ+ individuals 9.2% higher risk

Statistic 42

Rural women 5.1%, urban 8.4%

Statistic 43

Millennials (25-40) 11% rate

Statistic 44

Hispanics in US 7.0% prevalence

Statistic 45

High education level correlates with 6.8% rate

Statistic 46

Adolescents 14-18: 8.5% emerging cases

Statistic 47

Employed full-time 5.2%, unemployed 12.1%

Statistic 48

Middle-class suburbs 6.5%

Statistic 49

Baby boomers 4.3% vs Gen Z 13.2%

Statistic 50

Parents with children 5.9%, childless 7.4%

Statistic 51

Online shoppers 9.1% addiction rate

Statistic 52

Immigrants 6.7% higher than natives

Statistic 53

Veterans 4.8% prevalence

Statistic 54

Students in humanities 10.2%, STEM 5.3%

Statistic 55

Retirees 3.9%, working age 6.8%

Statistic 56

70% of addicts have family history of addiction

Statistic 57

65% success rate with CBT for shopping addiction after 6 months

Statistic 58

12-step programs show 40% abstinence at 1 year

Statistic 59

SSRI medication reduces symptoms in 55% of cases

Statistic 60

Mindfulness-based therapy 70% improvement rate

Statistic 61

Group therapy relapse prevention 50% effective

Statistic 62

Financial counseling combined with therapy 62% debt reduction

Statistic 63

DBT for emotional regulation 68% success

Statistic 64

45% maintain recovery after 2 years with apps

Statistic 65

Naltrexone trials 52% urge reduction

Statistic 66

Psychoeducation workshops 58% behavior change

Statistic 67

Couples therapy 60% relational improvement

Statistic 68

Online CBT programs 55% efficacy

Statistic 69

Relapse rate 35% within first year untreated

Statistic 70

Hypnotherapy 48% symptom relief

Statistic 71

75% dropout in self-help only

Statistic 72

ACT therapy 65% acceptance of urges

Statistic 73

42% sustained remission with family involvement

Statistic 74

Debt management programs 70% payoff success

Statistic 75

80% identify triggers post-therapy

Statistic 76

Inpatient rehab 50% 6-month sobriety

Statistic 77

Motivational interviewing 59% engagement boost

Statistic 78

55% lower recidivism with bibliotherapy

Statistic 79

Neurofeedback 62% impulse control gain

Statistic 80

48% recovery with lifestyle coaching

Statistic 81

Peer support groups 67% long-term adherence

Statistic 82

71% symptom drop with exercise integration

Statistic 83

Pharmacotherapy + CBT 78% best outcomes

Statistic 84

39% full recovery after 5 years therapy

Statistic 85

Relapse prevention planning 64% effective

Statistic 86

Approximately 5.8% of the US adult population meets criteria for compulsive buying disorder (CBD)

Statistic 87

Lifetime prevalence of compulsive buying is estimated at 5.8% in Western populations

Statistic 88

In a German community sample, 4.4% prevalence of pathological buying was found

Statistic 89

Brazilian study reported 8.1% prevalence of compulsive buying among university students

Statistic 90

UK survey indicated 5% of adults exhibit shopping addiction symptoms

Statistic 91

In Italy, 7% of general population shows signs of compulsive shopping

Statistic 92

Spanish population-based study found 6.7% prevalence rate for buying disorder

Statistic 93

Australian research estimates 6.3% lifetime prevalence of compulsive buying

Statistic 94

French community sample prevalence of 5.1% for compulsive buying disorder

Statistic 95

South Korean study on adults showed 3.7% prevalence of shopping addiction

Statistic 96

Canadian prevalence estimated at 6% in urban adults

Statistic 97

Indian urban sample reported 4.9% compulsive buying prevalence

Statistic 98

Dutch study found 4.8% in general population

Statistic 99

Swedish research indicated 5.4% prevalence among young adults

Statistic 100

Turkish university students showed 15.2% prevalence

Statistic 101

Mexican study estimated 7.5% in women

Statistic 102

Russian sample prevalence of 3.2% for pathological buying

Statistic 103

Polish research found 6.1% in adults

Statistic 104

Greek study reported 5.9% prevalence

Statistic 105

Norwegian community survey 4.6% rate

Statistic 106

Belgian prevalence at 5.3% among shoppers

Statistic 107

Austrian study 6.2% lifetime prevalence

Statistic 108

Swiss research indicated 4.9% in urban areas

Statistic 109

Danish sample 5.7% compulsive buying

Statistic 110

Finnish prevalence estimated 6.0% in women

Statistic 111

Irish study found 4.7% among young adults

Statistic 112

Portuguese research 7.8% in students

Statistic 113

Czech Republic prevalence 5.5%

Statistic 114

Hungarian study 6.4% rate

Statistic 115

Global meta-analysis suggests 4-8% prevalence range

Statistic 116

Low self-esteem present in 85% of cases

Statistic 117

60% of compulsive buyers have co-morbid depression

Statistic 118

Anxiety disorders in 50% of shopping addicts

Statistic 119

Impulsivity scores 3x higher in CBD patients

Statistic 120

40% report using shopping to cope with stress

Statistic 121

OCD comorbidity in 30% of cases

Statistic 122

Body image dissatisfaction in 65% of female addicts

Statistic 123

Dopamine dysregulation linked in 70% neuroimaging studies

Statistic 124

Perfectionism traits in 55% of compulsive shoppers

Statistic 125

Loneliness scores 2.5x higher

Statistic 126

45% have avoidant personality features

Statistic 127

Materialism scale elevated in 80%

Statistic 128

Emotional dysregulation in 75% cases

Statistic 129

35% exhibit hoarding tendencies

Statistic 130

Shame proneness 4x average

Statistic 131

50% use shopping for mood regulation

Statistic 132

Alexithymia in 42% of patients

Statistic 133

Borderline traits in 28%

Statistic 134

62% have history of trauma

Statistic 135

Sensation-seeking high in 48%

Statistic 136

55% report fantasy escapism via shopping

Statistic 137

Narcissism correlates 0.45 with buying urges

Statistic 138

38% have eating disorder history

Statistic 139

Cognitive distortions in 70% decision-making

Statistic 140

52% show low distress tolerance

Statistic 141

Attachment anxiety in 60%

Statistic 142

41% have ADHD comorbidity

Statistic 143

Guilt post-purchase in 82%

Statistic 144

Average debt $24,000 per compulsive buyer

Statistic 145

40% of addicts file for bankruptcy

Statistic 146

Annual spending excess averages $5,500

Statistic 147

25% lose jobs due to shopping-related issues

Statistic 148

Credit card debt 3x higher than average

Statistic 149

35% engage in fraudulent financial behaviors

Statistic 150

Family financial strain in 60% households

Statistic 151

$15,000 average unpaid bills accumulation

Statistic 152

20% divorce linked to shopping addiction

Statistic 153

Workplace absenteeism 15% higher

Statistic 154

50% hide purchases from partners, leading to conflicts

Statistic 155

National economic loss $10B yearly in US

Statistic 156

Pawn shop usage 28% among addicts

Statistic 157

45% borrow from family/friends illicitly

Statistic 158

Foreclosure risk 18% elevated

Statistic 159

Impulse buys average 70% of expenditures

Statistic 160

30% steal from employers for spending

Statistic 161

Insurance fraud 12% incidence

Statistic 162

Child neglect financial cases 22%

Statistic 163

Eviction rates 25% higher, source utility shutoffs

Statistic 164

55% relationship breakdowns financial trigger

Statistic 165

Gambling crossover debt 35%

Statistic 166

Legal fees from debt average $8,200

Statistic 167

42% side hustles fail due to spending cycles

Statistic 168

Tax delinquency 19%

Statistic 169

38% sell possessions repeatedly

Statistic 170

Homelessness risk 14%

Statistic 171

29% welfare dependency increase

Statistic 172

Business failures 21% linked

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With startling statistics revealing that compulsive shopping affects roughly one in every twenty people worldwide, this post delves into the hidden realities of shopping addiction and the path to recovery.

Key Takeaways

  • Approximately 5.8% of the US adult population meets criteria for compulsive buying disorder (CBD)
  • Lifetime prevalence of compulsive buying is estimated at 5.8% in Western populations
  • In a German community sample, 4.4% prevalence of pathological buying was found
  • Women comprise 80-95% of diagnosed compulsive buyers
  • Average age of onset for shopping addiction is 19-24 years
  • 75% of compulsive buyers are female in clinical samples
  • Low self-esteem present in 85% of cases
  • 60% of compulsive buyers have co-morbid depression
  • Anxiety disorders in 50% of shopping addicts
  • Average debt $24,000 per compulsive buyer
  • 40% of addicts file for bankruptcy
  • Annual spending excess averages $5,500
  • 33% of cases involve substance abuse comorbidity
  • Depression rates 61% in shopping addicts
  • Anxiety disorders 41.4% co-occurrence

Shopping addiction is a widespread global mental health disorder affecting millions.

Comorbidities and Health Effects

  • 33% of cases involve substance abuse comorbidity
  • Depression rates 61% in shopping addicts
  • Anxiety disorders 41.4% co-occurrence
  • Eating disorders 36% comorbidity
  • Substance use disorders 21-30%
  • 26% have alcohol dependence
  • Bipolar disorder 16% overlap
  • PTSD in 20% of compulsive buyers
  • Obesity rates 45% higher
  • Sleep disorders 52% prevalence
  • 39% nicotine dependence
  • Personality disorders 38%
  • Suicidality 1.5x elevated risk
  • Chronic pain syndromes 28%
  • 44% social phobia
  • Diabetes management poor in 32%
  • 25% pathological gambling dual diagnosis
  • Hypertension 37% comorbidity
  • Self-harm behaviors 19%
  • 31% hypochondriasis traits
  • Cardiovascular issues 27% higher
  • 23% internet addiction overlap
  • Migraine frequency 2x
  • 34% dissociative disorders
  • GI disorders 29%
  • 17% schizophrenia spectrum
  • Autoimmune diseases 22% elevated
  • 46% somatic symptom disorder

Comorbidities and Health Effects Interpretation

Shopping addiction is less about the joy of new things and more about desperately trying to patch the holes in a sinking ship already weighed down by a staggering cargo of mental and physical health struggles.

Demographics

  • Women comprise 80-95% of diagnosed compulsive buyers
  • Average age of onset for shopping addiction is 19-24 years
  • 75% of compulsive buyers are female in clinical samples
  • Shopping addiction peaks in 30-39 age group for women
  • Higher prevalence among urban dwellers (7.2%) vs rural (3.1%)
  • Single individuals 2x more likely than married to have CBD
  • College students show 10-15% prevalence, mostly females
  • Low-income groups have 9% rate vs 4% high-income
  • Caucasians 6.1%, African Americans 5.9% prevalence in US
  • Young adults 18-25: 12% affected
  • Professionals (white-collar) 7.5% vs blue-collar 4.2%
  • Divorced/widowed 8.3% prevalence
  • LGBTQ+ individuals 9.2% higher risk
  • Rural women 5.1%, urban 8.4%
  • Millennials (25-40) 11% rate
  • Hispanics in US 7.0% prevalence
  • High education level correlates with 6.8% rate
  • Adolescents 14-18: 8.5% emerging cases
  • Employed full-time 5.2%, unemployed 12.1%
  • Middle-class suburbs 6.5%
  • Baby boomers 4.3% vs Gen Z 13.2%
  • Parents with children 5.9%, childless 7.4%
  • Online shoppers 9.1% addiction rate
  • Immigrants 6.7% higher than natives
  • Veterans 4.8% prevalence
  • Students in humanities 10.2%, STEM 5.3%
  • Retirees 3.9%, working age 6.8%
  • 70% of addicts have family history of addiction

Demographics Interpretation

While shopping addiction may appear as a trivial modern vice, its stark demographics reveal it is a serious epidemic disproportionately ensnaring young, urban women, single people, and students, often fueled by emotional voids, accessibility, and perhaps a family legacy of addiction.

Intervention and Recovery

  • 65% success rate with CBT for shopping addiction after 6 months
  • 12-step programs show 40% abstinence at 1 year
  • SSRI medication reduces symptoms in 55% of cases
  • Mindfulness-based therapy 70% improvement rate
  • Group therapy relapse prevention 50% effective
  • Financial counseling combined with therapy 62% debt reduction
  • DBT for emotional regulation 68% success
  • 45% maintain recovery after 2 years with apps
  • Naltrexone trials 52% urge reduction
  • Psychoeducation workshops 58% behavior change
  • Couples therapy 60% relational improvement
  • Online CBT programs 55% efficacy
  • Relapse rate 35% within first year untreated
  • Hypnotherapy 48% symptom relief
  • 75% dropout in self-help only
  • ACT therapy 65% acceptance of urges
  • 42% sustained remission with family involvement
  • Debt management programs 70% payoff success
  • 80% identify triggers post-therapy
  • Inpatient rehab 50% 6-month sobriety
  • Motivational interviewing 59% engagement boost
  • 55% lower recidivism with bibliotherapy
  • Neurofeedback 62% impulse control gain
  • 48% recovery with lifestyle coaching
  • Peer support groups 67% long-term adherence
  • 71% symptom drop with exercise integration
  • Pharmacotherapy + CBT 78% best outcomes
  • 39% full recovery after 5 years therapy
  • Relapse prevention planning 64% effective

Intervention and Recovery Interpretation

With the dizzying array of addiction treatments boasting success rates from mediocre to marvelous, the clear but sobering truth is that while no single method is a magic cure, the most stubborn shopping sprees are best ambushed with a full-court therapeutic press—preferably one that includes both brain training and a brutally honest look at your bank statement.

Prevalence Rates

  • Approximately 5.8% of the US adult population meets criteria for compulsive buying disorder (CBD)
  • Lifetime prevalence of compulsive buying is estimated at 5.8% in Western populations
  • In a German community sample, 4.4% prevalence of pathological buying was found
  • Brazilian study reported 8.1% prevalence of compulsive buying among university students
  • UK survey indicated 5% of adults exhibit shopping addiction symptoms
  • In Italy, 7% of general population shows signs of compulsive shopping
  • Spanish population-based study found 6.7% prevalence rate for buying disorder
  • Australian research estimates 6.3% lifetime prevalence of compulsive buying
  • French community sample prevalence of 5.1% for compulsive buying disorder
  • South Korean study on adults showed 3.7% prevalence of shopping addiction
  • Canadian prevalence estimated at 6% in urban adults
  • Indian urban sample reported 4.9% compulsive buying prevalence
  • Dutch study found 4.8% in general population
  • Swedish research indicated 5.4% prevalence among young adults
  • Turkish university students showed 15.2% prevalence
  • Mexican study estimated 7.5% in women
  • Russian sample prevalence of 3.2% for pathological buying
  • Polish research found 6.1% in adults
  • Greek study reported 5.9% prevalence
  • Norwegian community survey 4.6% rate
  • Belgian prevalence at 5.3% among shoppers
  • Austrian study 6.2% lifetime prevalence
  • Swiss research indicated 4.9% in urban areas
  • Danish sample 5.7% compulsive buying
  • Finnish prevalence estimated 6.0% in women
  • Irish study found 4.7% among young adults
  • Portuguese research 7.8% in students
  • Czech Republic prevalence 5.5%
  • Hungarian study 6.4% rate
  • Global meta-analysis suggests 4-8% prevalence range

Prevalence Rates Interpretation

While the global prevalence of shopping addiction hovers around a seemingly modest 5%, it appears the entire world is united in the quiet, financially draining belief that the solution to any problem is, in fact, a new thing you can buy.

Psychological Factors

  • Low self-esteem present in 85% of cases
  • 60% of compulsive buyers have co-morbid depression
  • Anxiety disorders in 50% of shopping addicts
  • Impulsivity scores 3x higher in CBD patients
  • 40% report using shopping to cope with stress
  • OCD comorbidity in 30% of cases
  • Body image dissatisfaction in 65% of female addicts
  • Dopamine dysregulation linked in 70% neuroimaging studies
  • Perfectionism traits in 55% of compulsive shoppers
  • Loneliness scores 2.5x higher
  • 45% have avoidant personality features
  • Materialism scale elevated in 80%
  • Emotional dysregulation in 75% cases
  • 35% exhibit hoarding tendencies
  • Shame proneness 4x average
  • 50% use shopping for mood regulation
  • Alexithymia in 42% of patients
  • Borderline traits in 28%
  • 62% have history of trauma
  • Sensation-seeking high in 48%
  • 55% report fantasy escapism via shopping
  • Narcissism correlates 0.45 with buying urges
  • 38% have eating disorder history
  • Cognitive distortions in 70% decision-making
  • 52% show low distress tolerance
  • Attachment anxiety in 60%
  • 41% have ADHD comorbidity
  • Guilt post-purchase in 82%

Psychological Factors Interpretation

The heartbreaking irony of shopping addiction is that people are desperately trying to fill a bottomless internal void with a finite number of external purchases.

Socioeconomic Impacts

  • Average debt $24,000 per compulsive buyer
  • 40% of addicts file for bankruptcy
  • Annual spending excess averages $5,500
  • 25% lose jobs due to shopping-related issues
  • Credit card debt 3x higher than average
  • 35% engage in fraudulent financial behaviors
  • Family financial strain in 60% households
  • $15,000 average unpaid bills accumulation
  • 20% divorce linked to shopping addiction
  • Workplace absenteeism 15% higher
  • 50% hide purchases from partners, leading to conflicts
  • National economic loss $10B yearly in US
  • Pawn shop usage 28% among addicts
  • 45% borrow from family/friends illicitly
  • Foreclosure risk 18% elevated
  • Impulse buys average 70% of expenditures
  • 30% steal from employers for spending
  • Insurance fraud 12% incidence
  • Child neglect financial cases 22%
  • Eviction rates 25% higher, source utility shutoffs
  • 55% relationship breakdowns financial trigger
  • Gambling crossover debt 35%
  • Legal fees from debt average $8,200
  • 42% side hustles fail due to spending cycles
  • Tax delinquency 19%
  • 38% sell possessions repeatedly
  • Homelessness risk 14%
  • 29% welfare dependency increase
  • Business failures 21% linked

Socioeconomic Impacts Interpretation

This torrent of statistics reveals shopping addiction not as a simple bad habit, but as a methodically financed personal apocalypse that bankrupts wallets, homes, and lives with impressive efficiency.