Based on recent findings compiled by Bader Law, the staggering scope of identity theft across the United States continues to challenge consumers, regulators, and financial institutions. Drawing from the Federal Trade Commission’s 2023 Consumer Sentinel Network Data Book, the firm’s study exposes both the scale and complexity of personal data fraud that unfolded over the past year.
In total, more than one million identity theft reports were filed nationwide, pointing to a steep rise in fraudulent activity targeting sensitive consumer information. Among these cases, credit card fraud remains the leading form of identity theft, accounting for roughly 40 percent of all incidents. This category alone generated more than 416,000 complaints, reflecting vulnerabilities tied to online commerce and financial platforms.
The financial implications are equally severe. Losses linked to fraud reached $10 billion nationally in 2023, with the median loss per report standing at $500. Bader Law’s research highlights how densely populated states like Georgia and Florida consistently rank among the top ten in per capita reports. This correlation suggests that areas with high digital engagement and urban financial activity experience greater exposure to cybercrime.
Government-related identity theft has surged as well. Benefit fraud, tax scams, and forged document schemes rose by 82 percent year over year. While individuals under 30 report the highest number of incidents, older age groups suffer more substantial financial damage. Those aged 50 to 59 were hit hardest, reporting nearly $1 billion in cumulative losses during the year.
Several fraud types stand out based on frequency and financial toll. Imposter scams led with more than 850,000 reports and $2.6 billion in losses. Investment-related fraud caused the largest total loss at $4.6 billion, even though it comprised a smaller number of cases. Online shopping scams, business opportunity fraud, and healthcare-related schemes also factored prominently in the overall trend.
The study’s breakdown by state underscores regional differences in identity theft risk. Georgia led the nation with 48,606 reports and a rate of 457 incidents per 100,000 residents. Florida followed closely with over 93,000 reports and a per capita rate of 438. Other high-risk states include Nevada, Connecticut, Delaware, and Texas, each reporting more than 300 identity theft cases per 100,000 residents.
Within Georgia, credit card fraud made up 44 percent of all identity theft complaints. Loan and lease fraud reached 21 percent, while phone and utilities-related theft contributed to 8 percent of reports. Florida showed similar patterns, with credit card fraud comprising more than half of identity theft incidents and bank account fraud representing 8 percent.
Demographic analysis reveals shifting trends across age groups. While young adults between 20 and 29 submitted the most reports, older individuals faced greater financial harm per case. Consumers aged 60 to 69 reported $700 million in losses, and those aged 70 to 79 lost nearly $250 million. Even though the oldest consumers represent a smaller share of total cases, their average per-incident loss is often considerably higher.
As cybercrime continues to evolve, Bader Law emphasizes the need for more proactive fraud prevention measures. The study calls attention to how digital vulnerabilities particularly in mobile payments, cloud services, and financial authentication systems contribute to the problem. The firm’s assessment aligns with recommendations from the FTC, which encourages regular credit monitoring, secure password practices, and increased public awareness to help reduce exposure.
Bader Law’s findings provide a comprehensive snapshot of identity theft in America, from the methods used by fraudsters to the populations most at risk. By illuminating state-by-state trends and financial outcomes, the report offers valuable insight for journalists, policymakers, and everyday consumers seeking to understand and respond to the growing threat of personal data exploitation.
