Educational purposes only. This information does not constitute legal advice.

Small Claims Court Dollar Limits by State

Know how much you can sue for in small claims court before filing.

What is Small Claims Court?

Small claims court is a simplified legal process designed to handle disputes involving smaller dollar amounts without requiring formal legal procedures or attorneys. It's faster, cheaper, and less formal than regular civil court.

Dollar Limits by State

State Dollar Limit Filing Fee Attorneys?
California$12,500 (individuals)$30–$75Not allowed
Texas$20,000$46–$112Allowed
Florida$8,000$55–$300Allowed
New York$10,000 (City Courts)$20–$35Allowed
Illinois$10,000$89–$264Allowed
Pennsylvania$12,000$60–$120Allowed
Ohio$6,000$35–$75Allowed
Georgia$15,000$50–$150Allowed
North Carolina$10,000$96–$150Rarely appear
Michigan$7,000$30–$75Not allowed

What Cases Can You Bring to Small Claims?

  • Security deposit disputes with landlords
  • Property damage (car accidents, etc.)
  • Unpaid loans between individuals
  • Breach of contract for services
  • Defective merchandise or services
  • Unpaid wages (in some states)

What Cases Cannot Be Filed in Small Claims?

  • Criminal matters
  • Divorce or custody disputes
  • Claims above the dollar limit
  • Cases requiring injunctive relief (in most states)

Tips for Success in Small Claims Court

  • Document everything: Keep receipts, contracts, photos, texts, emails
  • Send a demand letter first: Courts like to see you tried to resolve it
  • File in the right court: Typically where defendant lives or where the transaction occurred
  • Bring witnesses: Anyone who can corroborate your story
  • Be organized: Bring copies of all documents for the judge and defendant

Understanding the Data

The information presented throughout this guide is informed by publicly available public records published by federal and state government agencies. Our database aggregates and standardizes these records to make them more accessible and easier to interpret for general audiences. When we reference specific statistics or trends, they are drawn directly from these authoritative sources unless explicitly noted otherwise.

It is important to understand the limitations of any large-scale data dataset. Records may contain errors from the original data collection process, some fields may be incomplete for older entries, and classification systems may have changed over time. Our analysis accounts for these factors by clearly labeling data vintage, flagging records with missing critical fields, and noting when temporal comparisons span methodology changes in the source data.

For readers who want to conduct their own research, we recommend going directly to the source whenever possible. federal and state government agencies provides detailed documentation on collection methodology, sampling frames, and known data quality issues. Our goal is not to replace primary sources but to make them more approachable and to highlight patterns that may not be immediately obvious when browsing raw records.

How We Analyze Data Records

Our analytical approach involves several steps designed to surface meaningful insights from large datasets. First, we clean and standardize the raw data, handling variations in naming conventions, date formats, and categorical labels. Then we compute summary statistics, distributions, and comparative benchmarks across relevant dimensions such as geography, time period, and category type.

Key metrics we examine include statistical records, geographic distributions, temporal trends. These indicators provide a multi-dimensional view of each entity in our database, allowing users to understand not just individual records but how they compare to peers, regional averages, and national benchmarks. We believe this contextual approach is far more valuable than presenting raw numbers in isolation.