Datasets:
Add krama_full assets/legal
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- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Data_Contributors.csv +143 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Detailed_Report_Categories_over_Three_Years.csv +312 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud, Identity Theft, and Other Reports by Military Consumers.csv +26 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Amount_Lost.csv +37 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Contact_Method.csv +17 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Payment_Method.csv +18 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Age.csv +15 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Type.csv +37 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Types_by_Age.csv +14 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Major_Data_Contributors.csv +20 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Metropolitan_Areas_Fraud_and_Other_Reports.csv +408 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Metropolitan_Areas_Identity_Theft_Reports.csv +408 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Military_Consumer_Identity_Theft_Reports_by_Type.csv +37 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Number_of_Reports_by_Type.csv +29 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Categories.csv +36 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Categories_over_Three_Years.csv +100 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Count.csv +31 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Type.csv +46 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Reported_Frauds_and_Losses_by_Age.csv +16 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Reports_by_Military_Consumers.csv +51 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Fraud_Reports_and_Losses.csv +59 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Identity_Theft_Reports.csv +371 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Rankings_Fraud_and_Other_Reports.csv +59 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Rankings_Identity_Theft_Reports.csv +59 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Top_Ten_Report_Categories.csv +527 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Top_Three_Identity_Theft_Reports_by_Year.csv +23 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Alabama.csv +21 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Alaska.csv +8 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Arizona.csv +15 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Arkansas.csv +14 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/California.csv +34 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Colorado.csv +14 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Connecticut.csv +13 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Delaware.csv +10 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/DistrictofColumbia.csv +8 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Florida.csv +29 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Georgia.csv +21 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Hawaii.csv +10 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Idaho.csv +12 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Illinois.csv +19 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Indiana.csv +20 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Iowa.csv +15 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Kansas.csv +14 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Kentucky.csv +18 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Louisiana.csv +17 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Maine.csv +11 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Maryland.csv +13 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Massachusetts.csv +14 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Michigan.csv +23 -0
- krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Minnesota.csv +16 -0
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Data_Contributors.csv
ADDED
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| 1 |
+
Data Contributors,,,
|
| 2 |
+
,,,
|
| 3 |
+
FTC,,,
|
| 4 |
+
Year,Data Contributor,# of Reports,%
|
| 5 |
+
2022,FTC - Web Reports (IDT),"796,366",14.98%
|
| 6 |
+
2022,FTC - Web Reports (Fraud & Other),"693,789",13.05%
|
| 7 |
+
2022,FTC - Mobile Reports (Fraud & Other),"622,035",11.70%
|
| 8 |
+
2022,FTC - Mobile Reports (IDT),"191,494",3.60%
|
| 9 |
+
2022,"FTC - ""877 FTC HELP"" (Fraud & Other)","155,803",2.93%
|
| 10 |
+
2022,"FTC - ""877 ID THEFT""","100,294",1.89%
|
| 11 |
+
2023,FTC - Web Reports (IDT),"696,163",12.55%
|
| 12 |
+
2023,FTC - Web Reports (Fraud & Other),"702,598",12.66%
|
| 13 |
+
2023,FTC - Mobile Reports (Fraud & Other),"633,956",11.43%
|
| 14 |
+
2023,FTC - Mobile Reports (IDT),"224,730",4.05%
|
| 15 |
+
2023,"FTC - ""877 FTC HELP"" (Fraud & Other)","137,005",2.47%
|
| 16 |
+
2023,"FTC - ""877 ID THEFT""","106,112",1.91%
|
| 17 |
+
2024,FTC - Web Reports (IDT),"787,763",12.17%
|
| 18 |
+
2024,FTC - Web Reports (Fraud & Other),"715,248",11.05%
|
| 19 |
+
2024,FTC - Mobile Reports (Fraud & Other),"681,383",10.53%
|
| 20 |
+
2024,FTC - Mobile Reports (IDT),"240,869",3.72%
|
| 21 |
+
2024,"FTC - ""877 FTC HELP"" (Fraud & Other)","135,095",2.09%
|
| 22 |
+
2024,"FTC - ""877 ID THEFT""","104,102",1.61%
|
| 23 |
+
,,,
|
| 24 |
+
Top Data Contributors,,,
|
| 25 |
+
Year,Data Contributor,# of Reports,%
|
| 26 |
+
2022,Consumer Financial Protection Bureau,"811,836",15.27%
|
| 27 |
+
2022,Better Business Bureau,"1,010,318",19.00%
|
| 28 |
+
2022,Internet Crime Complaint Center,"145,103",2.73%
|
| 29 |
+
2022,U.S. Department of Education,"97,076",1.83%
|
| 30 |
+
2022,Australian Competition and Consumer Commission,"178,719",3.36%
|
| 31 |
+
2023,Consumer Financial Protection Bureau,"959,033",17.28%
|
| 32 |
+
2023,Better Business Bureau,"1,015,776",18.31%
|
| 33 |
+
2023,Internet Crime Complaint Center,"160,288",2.89%
|
| 34 |
+
2023,U.S. Department of Education,"119,748",2.16%
|
| 35 |
+
2023,Australian Competition and Consumer Commission,"214,468",3.87%
|
| 36 |
+
2024,Consumer Financial Protection Bureau,"1,684,949",26.04%
|
| 37 |
+
2024,Better Business Bureau,"1,073,372",16.59%
|
| 38 |
+
2024,Internet Crime Complaint Center,"195,395",3.02%
|
| 39 |
+
2024,U.S. Department of Education,"159,746",2.47%
|
| 40 |
+
2024,Australian Competition and Consumer Commission,"148,346",2.29%
|
| 41 |
+
,,,
|
| 42 |
+
Other Data Contributors,,,
|
| 43 |
+
Year,Data Contributor,# of Reports,%
|
| 44 |
+
2022,Others,"50,653",0.95%
|
| 45 |
+
2022,AARP Fraud Watch Network,"48,060",0.90%
|
| 46 |
+
2022,Publisher's Clearing House,"93,433",1.76%
|
| 47 |
+
2022,Social Security Administration,"29,320",0.55%
|
| 48 |
+
2022,MoneyGram International & Western Union Money Transfer,"36,120",0.68%
|
| 49 |
+
2022,U.S. Postal Inspection Service,"27,943",0.53%
|
| 50 |
+
2022,Microsoft Corporation Cyber Crime Center,"35,557",0.67%
|
| 51 |
+
2022,Task Force on Market Integrity and Consumer Fraud,"5,865",0.11%
|
| 52 |
+
2022,Scam Detector,"26,467",0.50%
|
| 53 |
+
2023,Others,"59,442",1.07%
|
| 54 |
+
2023,AARP Fraud Watch Network,"76,885",1.39%
|
| 55 |
+
2023,Publisher's Clearing House,"108,909",1.96%
|
| 56 |
+
2023,Social Security Administration,"42,716",0.77%
|
| 57 |
+
2023,MoneyGram International & Western Union Money Transfer,"37,477",0.68%
|
| 58 |
+
2023,USA.gov,"1,418",0.03%
|
| 59 |
+
2023,U.S. Postal Inspection Service,"19,280",0.35%
|
| 60 |
+
2023,Microsoft Corporation Cyber Crime Center,"29,563",0.53%
|
| 61 |
+
2023,Task Force on Market Integrity and Consumer Fraud,"16,671",0.30%
|
| 62 |
+
2023,Scam Detector,"17,786",0.32%
|
| 63 |
+
2024,Others,"89,127",1.38%
|
| 64 |
+
2024,AARP Fraud Watch Network,"78,630",1.21%
|
| 65 |
+
2024,Publisher's Clearing House,"48,306",0.75%
|
| 66 |
+
2024,Social Security Administration,"47,967",0.74%
|
| 67 |
+
2024,MoneyGram International & Western Union Money Transfer,"34,707",0.54%
|
| 68 |
+
2024,USA.gov,"24,898",0.38%
|
| 69 |
+
2024,U.S. Postal Inspection Service,"20,628",0.32%
|
| 70 |
+
2024,Microsoft Corporation Cyber Crime Center,"19,773",0.31%
|
| 71 |
+
2024,Task Force on Market Integrity and Consumer Fraud,"16,952",0.26%
|
| 72 |
+
2024,Scam Detector,"11,816",0.18%
|
| 73 |
+
,,,
|
| 74 |
+
State Law Enforcement Agencies,Data Contributor,# of Reports,%
|
| 75 |
+
2022,"Pennsylvania, Attorney General","23,688",0.45%
|
| 76 |
+
2022,"Ohio, Attorney General","22,526",0.42%
|
| 77 |
+
2022,"New York, Attorney General","15,985",0.30%
|
| 78 |
+
2022,"Washington, Attorney General","20,523",0.39%
|
| 79 |
+
2022,"North Carolina, Department of Justice","9,840",0.19%
|
| 80 |
+
2022,"Wisconsin, Department of Agriculture, Trade, and Consumer Protection","9,665",0.18%
|
| 81 |
+
2022,"Massachusetts, Attorney General","7,921",0.15%
|
| 82 |
+
2022,"Michigan, Attorney General","8,131",0.15%
|
| 83 |
+
2022,"Tennessee, Attorney General","6,780",0.13%
|
| 84 |
+
2022,"South Carolina, Department of Consumer Affairs","3,460",0.07%
|
| 85 |
+
2022,"Indiana, Attorney General","7,689",0.14%
|
| 86 |
+
2022,"Oregon, Department of Justice","3,145",0.06%
|
| 87 |
+
2022,"Louisiana, Attorney General","3,071",0.06%
|
| 88 |
+
2022,"Iowa, Attorney General","2,668",0.05%
|
| 89 |
+
2022,"Maine, Attorney General","3,803",0.07%
|
| 90 |
+
2022,"Nebraska, Attorney General","5,593",0.11%
|
| 91 |
+
2022,"Idaho, Attorney General","1,053",0.02%
|
| 92 |
+
2022,"Connecticut, Department of Consumer Protection","1,623",0.03%
|
| 93 |
+
2022,"Hawaii, Office of Consumer Protection","1,462",0.03%
|
| 94 |
+
2022,"Alaska, Attorney General",227,0.00%
|
| 95 |
+
2022,"Nevada, Attorney General",357,0.01%
|
| 96 |
+
2022,"Mississippi, Attorney General","1,304",0.02%
|
| 97 |
+
2022,Florida Department of Agriculture and Consumer Services,987,0.02%
|
| 98 |
+
2023,"Pennsylvania, Attorney General","17,703",0.32%
|
| 99 |
+
2023,"Ohio, Attorney General","25,122",0.45%
|
| 100 |
+
2023,"New York, Attorney General","16,532",0.30%
|
| 101 |
+
2023,"Washington, Attorney General","20,825",0.38%
|
| 102 |
+
2023,"North Carolina, Department of Justice","13,575",0.24%
|
| 103 |
+
2023,"Wisconsin, Department of Agriculture, Trade, and Consumer Protection","9,410",0.17%
|
| 104 |
+
2023,"Massachusetts, Attorney General","18,340",0.33%
|
| 105 |
+
2023,"Michigan, Attorney General","7,659",0.14%
|
| 106 |
+
2023,"Tennessee, Attorney General","8,434",0.15%
|
| 107 |
+
2023,"South Carolina, Department of Consumer Affairs","5,390",0.10%
|
| 108 |
+
2023,"Indiana, Attorney General","6,093",0.11%
|
| 109 |
+
2023,"Oregon, Department of Justice","3,722",0.07%
|
| 110 |
+
2023,"Louisiana, Attorney General","3,244",0.06%
|
| 111 |
+
2023,"Iowa, Attorney General","3,068",0.06%
|
| 112 |
+
2023,"Maine, Attorney General","3,875",0.07%
|
| 113 |
+
2023,"Nebraska, Attorney General","2,210",0.04%
|
| 114 |
+
2023,"Idaho, Attorney General",949,0.02%
|
| 115 |
+
2023,"Connecticut, Department of Consumer Protection","1,633",0.03%
|
| 116 |
+
2023,"Hawaii, Office of Consumer Protection",385,0.01%
|
| 117 |
+
2023,"Alaska, Attorney General",232,0.00%
|
| 118 |
+
2023,"Nevada, Attorney General",392,0.01%
|
| 119 |
+
2024,"Pennsylvania, Attorney General","23,697",0.37%
|
| 120 |
+
2024,"Ohio, Attorney General","20,591",0.32%
|
| 121 |
+
2024,"New York, Attorney General","17,794",0.27%
|
| 122 |
+
2024,"Washington, Attorney General","14,469",0.22%
|
| 123 |
+
2024,"North Carolina, Department of Justice","13,756",0.21%
|
| 124 |
+
2024,"Wisconsin, Department of Agriculture, Trade, and Consumer Protection","9,573",0.15%
|
| 125 |
+
2024,"Massachusetts, Attorney General","8,128",0.13%
|
| 126 |
+
2024,"Michigan, Attorney General","7,776",0.12%
|
| 127 |
+
2024,"Tennessee, Attorney General","7,744",0.12%
|
| 128 |
+
2024,"South Carolina, Department of Consumer Affairs","5,388",0.08%
|
| 129 |
+
2024,"Indiana, Attorney General","5,093",0.08%
|
| 130 |
+
2024,"Oregon, Department of Justice","3,569",0.06%
|
| 131 |
+
2024,"Louisiana, Attorney General","3,250",0.05%
|
| 132 |
+
2024,"Iowa, Attorney General","3,180",0.05%
|
| 133 |
+
2024,"Maine, Attorney General","2,735",0.04%
|
| 134 |
+
2024,"Nebraska, Attorney General","2,048",0.03%
|
| 135 |
+
2024,"Idaho, Attorney General","1,317",0.02%
|
| 136 |
+
2024,"Connecticut, Department of Consumer Protection","1,238",0.02%
|
| 137 |
+
2024,"Hawaii, Office of Consumer Protection",667,0.01%
|
| 138 |
+
2024,"Alaska, Attorney General",329,0.01%
|
| 139 |
+
2024,"Nevada, Attorney General",294,0.00%
|
| 140 |
+
,,,
|
| 141 |
+
"Percentages are based on the total number of Sentinel reports in 2022 (5,317,751), 2023 (5,548,815), and 2024 (6,471,708).",,,
|
| 142 |
+
,,,
|
| 143 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Detailed_Report_Categories_over_Three_Years.csv
ADDED
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| 1 |
+
Detailed Report Categories over Three Years,,,,
|
| 2 |
+
,,,,
|
| 3 |
+
Year,Category,SubCategory,# of Reports,Percentage
|
| 4 |
+
2022,Advance Payments for Credit Services,Advance-Fee Credit,"30,604",0.58%
|
| 5 |
+
2022,Advance Payments for Credit Services,Credit Repair,"4,282",0.08%
|
| 6 |
+
2022,Auto Related,Auto Financing,"12,268",0.23%
|
| 7 |
+
2022,Auto Related,Auto Parts & Repairs,"33,672",0.63%
|
| 8 |
+
2022,Auto Related,Auto Renting & Leasing,"20,490",0.39%
|
| 9 |
+
2022,Auto Related,Auto Service & Warranties,"13,307",0.25%
|
| 10 |
+
2022,Auto Related,Gasoline,"1,104",0.02%
|
| 11 |
+
2022,Auto Related,New Auto Sales,"47,677",0.90%
|
| 12 |
+
2022,Auto Related,Used Auto Sales,"53,030",1.00%
|
| 13 |
+
2022,Banks and Lenders,Auto Title Lending,"1,175",0.02%
|
| 14 |
+
2022,Banks and Lenders,Bank & Credit Union Lending,948,0.02%
|
| 15 |
+
2022,Banks and Lenders,"Banks, Credit Unions & S&Ls","92,572",1.74%
|
| 16 |
+
2022,Banks and Lenders,Finance Company Lending,"13,732",0.26%
|
| 17 |
+
2022,Banks and Lenders,Misc. Institution Lending,"16,188",0.30%
|
| 18 |
+
2022,Banks and Lenders,Mortgage Lending,"40,291",0.76%
|
| 19 |
+
2022,Banks and Lenders,Payday Loans,"7,686",0.14%
|
| 20 |
+
2022,Banks and Lenders,Student Loans,"91,312",1.72%
|
| 21 |
+
2022,Business and Job Opportunities,Business & Work-at-Home Opportunities,"15,258",0.29%
|
| 22 |
+
2022,Business and Job Opportunities,Franchises & Distributorships*,"2,673",0.05%
|
| 23 |
+
2022,Business and Job Opportunities,Invention Promotion,438,0.01%
|
| 24 |
+
2022,Business and Job Opportunities,Job Scams & Employment Agencies,"71,562",1.35%
|
| 25 |
+
2022,Business and Job Opportunities,Pyramids & Multi-Level Marketing,"8,735",0.16%
|
| 26 |
+
2022,Charitable Solicitations,Charitable Solicitations,"10,236",0.19%
|
| 27 |
+
2022,Computer Equipment and Software,Computer Equipment & Software,"22,510",0.42%
|
| 28 |
+
2022,Credit Bureaus and Information Furnishers,Credit Bureaus�,"549,843",10.34%
|
| 29 |
+
2022,Credit Bureaus and Information Furnishers,Credit Information Furnishers,"41,385",0.78%
|
| 30 |
+
2022,Credit Cards�,Credit Cards�,"89,823",1.69%
|
| 31 |
+
2022,Debt Collection,Creditor Debt Collection,"35,461",0.67%
|
| 32 |
+
2022,Debt Collection,Third Party Debt Collection,"77,697",1.46%
|
| 33 |
+
2022,Education,Colleges & Universities,"18,752",0.35%
|
| 34 |
+
2022,Education,Trade & Vocational Schools,"2,473",0.05%
|
| 35 |
+
2022,Foreign Money Offers and Fake Check Scams,Fake Check Scams,"38,451",0.72%
|
| 36 |
+
2022,Foreign Money Offers and Fake Check Scams,Foreign Money & Inheritance Scams,"2,890",0.05%
|
| 37 |
+
2022,Funeral Services,Funeral Services,"1,631",0.03%
|
| 38 |
+
2022,Grants,Non-Educational Grants,"2,265",0.04%
|
| 39 |
+
2022,Grants,Scholarships & Educational Grants,299,0.01%
|
| 40 |
+
2022,Health Care,"Diet Products, Plans & Centers","22,342",0.42%
|
| 41 |
+
2022,Health Care,Eye Care*,"6,182",0.12%
|
| 42 |
+
2022,Health Care,Health Care Billing*,"1,837",0.03%
|
| 43 |
+
2022,Health Care,Medical Insurance & Discount Plans,"8,030",0.15%
|
| 44 |
+
2022,Health Care,Medical Treatments & Cures,"46,564",0.88%
|
| 45 |
+
2022,Health Care,Misc. Medical*,"26,157",0.49%
|
| 46 |
+
2022,"Home Improvement, Repair, and Solar�",Home Appliances and Connected Devices,"5,177",0.10%
|
| 47 |
+
2022,"Home Improvement, Repair, and Solar�",Home Furnishings,"10,759",0.20%
|
| 48 |
+
2022,"Home Improvement, Repair, and Solar�","Home Improvement, Repair, and Solar�","10,573",0.20%
|
| 49 |
+
2022,"Home Improvement, Repair, and Solar�",Home Protection Devices,"1,737",0.03%
|
| 50 |
+
2022,"Home Improvement, Repair, and Solar�",Home Warranties,"28,608",0.54%
|
| 51 |
+
2022,"Home Improvement, Repair, and Solar�",Housing,"38,495",0.72%
|
| 52 |
+
2022,Identity Theft,Identity Theft,"1,107,004",20.82%
|
| 53 |
+
2022,Imposter Scams,Business Imposters,"399,753",7.52%
|
| 54 |
+
2022,Imposter Scams,Family & Friend Imposters,"37,340",0.70%
|
| 55 |
+
2022,Imposter Scams,Government Imposters,"197,496",3.71%
|
| 56 |
+
2022,Imposter Scams,Romance Scams,"69,582",1.31%
|
| 57 |
+
2022,Imposter Scams,Tech Support Scams,"89,593",1.68%
|
| 58 |
+
2022,Internet Services,Broadband Internet Access*,"5,233",0.10%
|
| 59 |
+
2022,Internet Services,Broadband Internet Cost*,"9,159",0.17%
|
| 60 |
+
2022,Internet Services,Broadband Internet Speed*,"1,536",0.03%
|
| 61 |
+
2022,Internet Services,Gaming & Virtual Reality*,"8,249",0.16%
|
| 62 |
+
2022,Internet Services,Online Payment Services,"68,711",1.29%
|
| 63 |
+
2022,Internet Services,Social Networking Services,"12,637",0.24%
|
| 64 |
+
2022,Internet Services,Website Content,"31,716",0.60%
|
| 65 |
+
2022,Internet Services,Website Design & Promotion,"4,109",0.08%
|
| 66 |
+
2022,Investment Related,Miscellaneous Investments & Investment Advice,"105,041",1.98%
|
| 67 |
+
2022,Investment Related,Stocks & Commodity Futures Trading,"2,926",0.06%
|
| 68 |
+
2022,Magazines and Books,Books & Magazines,"6,777",0.13%
|
| 69 |
+
2022,Miscellaneous Reports,Business Equipment & Facilities Leasing,440,0.01%
|
| 70 |
+
2022,Miscellaneous Reports,Children's Products,"1,772",0.03%
|
| 71 |
+
2022,Miscellaneous Reports,Food,"4,971",0.09%
|
| 72 |
+
2022,Miscellaneous Reports,"Garments, Wool, Leather Goods & Textiles","1,064",0.02%
|
| 73 |
+
2022,Miscellaneous Reports,Immigration Services,478,0.01%
|
| 74 |
+
2022,Miscellaneous Reports,Insurance (excl. Medical),"9,060",0.17%
|
| 75 |
+
2022,Miscellaneous Reports,Jewelry & Watches,"6,050",0.11%
|
| 76 |
+
2022,Miscellaneous Reports,Personal Care Products,"4,359",0.08%
|
| 77 |
+
2022,Miscellaneous Reports,Property & Inheritance Tracers,"1,318",0.02%
|
| 78 |
+
2022,Miscellaneous Reports,Real Estate,"23,665",0.45%
|
| 79 |
+
2022,Miscellaneous Reports,Tobacco Products,"1,269",0.02%
|
| 80 |
+
2022,Miscellaneous Reports,Utilities,"6,040",0.11%
|
| 81 |
+
2022,Mortgage Foreclosure Relief and Debt Management,Credit & Debt Counseling,"23,859",0.45%
|
| 82 |
+
2022,Mortgage Foreclosure Relief and Debt Management,Mortgage Modification & Foreclosure Relief,992,0.02%
|
| 83 |
+
2022,Office Supplies and Services,Office Directory Listings & Ad Space,"2,319",0.04%
|
| 84 |
+
2022,Office Supplies and Services,Office Supplies & Services,"2,134",0.04%
|
| 85 |
+
2022,Online Shopping and Negative Reviews,Negative Online Reviews*,614,0.01%
|
| 86 |
+
2022,Online Shopping and Negative Reviews,Online Shopping,"367,177",6.90%
|
| 87 |
+
2022,"Privacy, Data Security, and Cyber Threats",Malware & Computer Exploits�,"51,724",0.97%
|
| 88 |
+
2022,"Privacy, Data Security, and Cyber Threats",Privacy & Data Security,"19,205",0.36%
|
| 89 |
+
2022,"Prizes, Sweepstakes and Lotteries","Prizes, Sweepstakes & Lotteries","148,570",2.79%
|
| 90 |
+
2022,Tax Preparers,Tax Preparers,"8,824",0.17%
|
| 91 |
+
2022,Telephone and Mobile Services,Phone Billing,"18,305",0.34%
|
| 92 |
+
2022,Telephone and Mobile Services,"Phone Devices, Accessories & Services","89,691",1.69%
|
| 93 |
+
2022,Telephone and Mobile Services,Prepaid Phone Cards,"1,712",0.03%
|
| 94 |
+
2022,Television and Electronic Media,Cable & Satellite TV,"34,982",0.66%
|
| 95 |
+
2022,Television and Electronic Media,"Streaming, Digital Media, & Television�","3,612",0.07%
|
| 96 |
+
2022,"Travel, Vacations and Timeshare Plans",Timeshare Resales,"2,660",0.05%
|
| 97 |
+
2022,"Travel, Vacations and Timeshare Plans",Timeshare Sales,"10,944",0.21%
|
| 98 |
+
2022,"Travel, Vacations and Timeshare Plans",Vacation & Travel,"55,719",1.05%
|
| 99 |
+
2022,Unspecified Reports,Other Misc.,"449,771",8.46%
|
| 100 |
+
2022,Unspecified Reports,Unsolicited Email,"175,528",3.30%
|
| 101 |
+
2022,Unspecified Reports,Unsolicited Text Messages,"235,723",4.43%
|
| 102 |
+
2022,Unspecified Reports,Unwanted Telemarketing Calls,"107,684",2.02%
|
| 103 |
+
2023,Advance Payments for Credit Services,Advance-Fee Credit,"26,362",0.48%
|
| 104 |
+
2023,Advance Payments for Credit Services,Credit Repair,"4,105",0.07%
|
| 105 |
+
2023,Auto Related,Auto Financing,"18,409",0.33%
|
| 106 |
+
2023,Auto Related,Auto Parts & Repairs,"36,330",0.65%
|
| 107 |
+
2023,Auto Related,Auto Renting & Leasing,"18,369",0.33%
|
| 108 |
+
2023,Auto Related,Auto Service & Warranties,"14,590",0.26%
|
| 109 |
+
2023,Auto Related,Gasoline,903,0.02%
|
| 110 |
+
2023,Auto Related,New Auto Sales,"49,412",0.89%
|
| 111 |
+
2023,Auto Related,Used Auto Sales,"52,423",0.94%
|
| 112 |
+
2023,Banks and Lenders,Auto Title Lending,"1,107",0.02%
|
| 113 |
+
2023,Banks and Lenders,Bank & Credit Union Lending,"1,056",0.02%
|
| 114 |
+
2023,Banks and Lenders,"Banks, Credit Unions & S&Ls","107,017",1.93%
|
| 115 |
+
2023,Banks and Lenders,Finance Company Lending,"11,676",0.21%
|
| 116 |
+
2023,Banks and Lenders,Misc. Institution Lending,"16,762",0.30%
|
| 117 |
+
2023,Banks and Lenders,Mortgage Lending,"35,804",0.65%
|
| 118 |
+
2023,Banks and Lenders,Payday Loans,"9,037",0.16%
|
| 119 |
+
2023,Banks and Lenders,Student Loans,"109,512",1.97%
|
| 120 |
+
2023,Business and Job Opportunities,Business & Work-at-Home Opportunities,"16,197",0.29%
|
| 121 |
+
2023,Business and Job Opportunities,Franchises & Distributorships*,"3,219",0.06%
|
| 122 |
+
2023,Business and Job Opportunities,Invention Promotion,365,0.01%
|
| 123 |
+
2023,Business and Job Opportunities,Job Scams & Employment Agencies,"85,533",1.54%
|
| 124 |
+
2023,Business and Job Opportunities,Pyramids & Multi-Level Marketing,"6,797",0.12%
|
| 125 |
+
2023,Charitable Solicitations,Charitable Solicitations,"9,976",0.18%
|
| 126 |
+
2023,Computer Equipment and Software,Computer Equipment & Software,"22,215",0.40%
|
| 127 |
+
2023,Credit Bureaus and Information Furnishers,Credit Bureaus�,"660,251",11.90%
|
| 128 |
+
2023,Credit Bureaus and Information Furnishers,Credit Information Furnishers,"53,112",0.96%
|
| 129 |
+
2023,Credit Cards�,Credit Cards�,"103,206",1.86%
|
| 130 |
+
2023,Debt Collection,Creditor Debt Collection,"29,248",0.53%
|
| 131 |
+
2023,Debt Collection,Third Party Debt Collection,"98,322",1.77%
|
| 132 |
+
2023,Education,Colleges & Universities,"24,854",0.45%
|
| 133 |
+
2023,Education,Trade & Vocational Schools,"2,722",0.05%
|
| 134 |
+
2023,Foreign Money Offers and Fake Check Scams,Fake Check Scams,"29,144",0.53%
|
| 135 |
+
2023,Foreign Money Offers and Fake Check Scams,Foreign Money & Inheritance Scams,"3,053",0.06%
|
| 136 |
+
2023,Funeral Services,Funeral Services,"1,436",0.03%
|
| 137 |
+
2023,Grants,Non-Educational Grants,"2,144",0.04%
|
| 138 |
+
2023,Grants,Scholarships & Educational Grants,210,0.00%
|
| 139 |
+
2023,Health Care,"Diet Products, Plans & Centers","18,722",0.34%
|
| 140 |
+
2023,Health Care,Eye Care*,"6,047",0.11%
|
| 141 |
+
2023,Health Care,Health Care Billing*,"1,931",0.03%
|
| 142 |
+
2023,Health Care,Medical Insurance & Discount Plans,"8,996",0.16%
|
| 143 |
+
2023,Health Care,Medical Treatments & Cures,"47,475",0.86%
|
| 144 |
+
2023,Health Care,Misc. Medical*,"32,199",0.58%
|
| 145 |
+
2023,"Home Improvement, Repair, and Solar�",Home Appliances and Connected Devices,"6,607",0.12%
|
| 146 |
+
2023,"Home Improvement, Repair, and Solar�",Home Furnishings,"7,535",0.14%
|
| 147 |
+
2023,"Home Improvement, Repair, and Solar�","Home Improvement, Repair, and Solar�","12,313",0.22%
|
| 148 |
+
2023,"Home Improvement, Repair, and Solar�",Home Protection Devices,"2,618",0.05%
|
| 149 |
+
2023,"Home Improvement, Repair, and Solar�",Home Warranties,"22,849",0.41%
|
| 150 |
+
2023,"Home Improvement, Repair, and Solar�",Housing,"35,224",0.63%
|
| 151 |
+
2023,Identity Theft,Identity Theft,"1,036,855",18.69%
|
| 152 |
+
2023,Imposter Scams,Business Imposters,"475,110",8.56%
|
| 153 |
+
2023,Imposter Scams,Family & Friend Imposters,"33,759",0.61%
|
| 154 |
+
2023,Imposter Scams,Government Imposters,"228,202",4.11%
|
| 155 |
+
2023,Imposter Scams,Romance Scams,"65,717",1.18%
|
| 156 |
+
2023,Imposter Scams,Tech Support Scams,"91,234",1.64%
|
| 157 |
+
2023,Internet Services,Broadband Internet Access*,"5,884",0.11%
|
| 158 |
+
2023,Internet Services,Broadband Internet Cost*,"12,285",0.22%
|
| 159 |
+
2023,Internet Services,Broadband Internet Speed*,"1,715",0.03%
|
| 160 |
+
2023,Internet Services,Gaming & Virtual Reality*,"10,605",0.19%
|
| 161 |
+
2023,Internet Services,Online Payment Services,"60,162",1.08%
|
| 162 |
+
2023,Internet Services,Social Networking Services,"13,034",0.23%
|
| 163 |
+
2023,Internet Services,Website Content,"28,596",0.52%
|
| 164 |
+
2023,Internet Services,Website Design & Promotion,"4,473",0.08%
|
| 165 |
+
2023,Investment Related,Miscellaneous Investments & Investment Advice,"107,990",1.95%
|
| 166 |
+
2023,Investment Related,Stocks & Commodity Futures Trading,"2,664",0.05%
|
| 167 |
+
2023,Magazines and Books,Books & Magazines,"5,679",0.10%
|
| 168 |
+
2023,Miscellaneous Reports,Business Equipment & Facilities Leasing,586,0.01%
|
| 169 |
+
2023,Miscellaneous Reports,Children's Products,"1,837",0.03%
|
| 170 |
+
2023,Miscellaneous Reports,Food,"15,855",0.29%
|
| 171 |
+
2023,Miscellaneous Reports,"Garments, Wool, Leather Goods & Textiles","1,137",0.02%
|
| 172 |
+
2023,Miscellaneous Reports,Immigration Services,613,0.01%
|
| 173 |
+
2023,Miscellaneous Reports,Insurance (excl. Medical),"12,530",0.23%
|
| 174 |
+
2023,Miscellaneous Reports,Jewelry & Watches,"5,745",0.10%
|
| 175 |
+
2023,Miscellaneous Reports,Personal Care Products,"8,050",0.15%
|
| 176 |
+
2023,Miscellaneous Reports,Property & Inheritance Tracers,"3,669",0.07%
|
| 177 |
+
2023,Miscellaneous Reports,Real Estate,"20,059",0.36%
|
| 178 |
+
2023,Miscellaneous Reports,Tobacco Products,918,0.02%
|
| 179 |
+
2023,Miscellaneous Reports,Utilities,"7,612",0.14%
|
| 180 |
+
2023,Mortgage Foreclosure Relief and Debt Management,Credit & Debt Counseling,"25,610",0.46%
|
| 181 |
+
2023,Mortgage Foreclosure Relief and Debt Management,Mortgage Modification & Foreclosure Relief,"1,034",0.02%
|
| 182 |
+
2023,Office Supplies and Services,Office Directory Listings & Ad Space,"1,649",0.03%
|
| 183 |
+
2023,Office Supplies and Services,Office Supplies & Services,"2,305",0.04%
|
| 184 |
+
2023,Online Shopping and Negative Reviews,Negative Online Reviews*,"1,109",0.02%
|
| 185 |
+
2023,Online Shopping and Negative Reviews,Online Shopping,"379,690",6.84%
|
| 186 |
+
2023,"Privacy, Data Security, and Cyber Threats",Malware & Computer Exploits�,"63,043",1.14%
|
| 187 |
+
2023,"Privacy, Data Security, and Cyber Threats",Privacy & Data Security,"16,844",0.30%
|
| 188 |
+
2023,"Prizes, Sweepstakes and Lotteries","Prizes, Sweepstakes & Lotteries","158,102",2.85%
|
| 189 |
+
2023,Tax Preparers,Tax Preparers,"6,220",0.11%
|
| 190 |
+
2023,Telephone and Mobile Services,Phone Billing,"17,600",0.32%
|
| 191 |
+
2023,Telephone and Mobile Services,"Phone Devices, Accessories & Services","79,062",1.42%
|
| 192 |
+
2023,Telephone and Mobile Services,Prepaid Phone Cards,"1,725",0.03%
|
| 193 |
+
2023,Television and Electronic Media,Cable & Satellite TV,"37,355",0.67%
|
| 194 |
+
2023,Television and Electronic Media,"Streaming, Digital Media, & Television�","3,934",0.07%
|
| 195 |
+
2023,"Travel, Vacations and Timeshare Plans",Timeshare Resales,"1,872",0.03%
|
| 196 |
+
2023,"Travel, Vacations and Timeshare Plans",Timeshare Sales,"8,265",0.15%
|
| 197 |
+
2023,"Travel, Vacations and Timeshare Plans",Vacation & Travel,"47,021",0.85%
|
| 198 |
+
2023,Unspecified Reports,Other Misc.,"490,451",8.84%
|
| 199 |
+
2023,Unspecified Reports,Unsolicited Email,"198,654",3.58%
|
| 200 |
+
2023,Unspecified Reports,Unsolicited Text Messages,"129,287",2.33%
|
| 201 |
+
2023,Unspecified Reports,Unwanted Telemarketing Calls,"128,723",2.32%
|
| 202 |
+
2024,Advance Payments for Credit Services,Advance-Fee Credit,"23,395",0.36%
|
| 203 |
+
2024,Advance Payments for Credit Services,Credit Repair,"4,162",0.06%
|
| 204 |
+
2024,Auto Related,Auto Financing,"19,662",0.30%
|
| 205 |
+
2024,Auto Related,Auto Parts & Repairs,"37,730",0.58%
|
| 206 |
+
2024,Auto Related,Auto Renting & Leasing,"20,466",0.32%
|
| 207 |
+
2024,Auto Related,Auto Service & Warranties,"15,357",0.24%
|
| 208 |
+
2024,Auto Related,Gasoline,772,0.01%
|
| 209 |
+
2024,Auto Related,New Auto Sales,"51,846",0.80%
|
| 210 |
+
2024,Auto Related,Used Auto Sales,"53,650",0.83%
|
| 211 |
+
2024,Banks and Lenders,Auto Title Lending,"1,094",0.02%
|
| 212 |
+
2024,Banks and Lenders,Bank & Credit Union Lending,959,0.01%
|
| 213 |
+
2024,Banks and Lenders,"Banks, Credit Unions & S&Ls","116,846",1.81%
|
| 214 |
+
2024,Banks and Lenders,Finance Company Lending,"13,904",0.21%
|
| 215 |
+
2024,Banks and Lenders,Misc. Institution Lending,"17,518",0.27%
|
| 216 |
+
2024,Banks and Lenders,Mortgage Lending,"34,812",0.54%
|
| 217 |
+
2024,Banks and Lenders,Payday Loans,"10,817",0.17%
|
| 218 |
+
2024,Banks and Lenders,Student Loans,"155,812",2.41%
|
| 219 |
+
2024,Business and Job Opportunities,Business & Work-at-Home Opportunities,"14,809",0.23%
|
| 220 |
+
2024,Business and Job Opportunities,Franchises & Distributorships*,"3,858",0.06%
|
| 221 |
+
2024,Business and Job Opportunities,Invention Promotion,355,0.01%
|
| 222 |
+
2024,Business and Job Opportunities,Job Scams & Employment Agencies,"104,946",1.62%
|
| 223 |
+
2024,Business and Job Opportunities,Pyramids & Multi-Level Marketing,"6,283",0.10%
|
| 224 |
+
2024,Charitable Solicitations,Charitable Solicitations,"11,019",0.17%
|
| 225 |
+
2024,Computer Equipment and Software,Computer Equipment & Software,"24,311",0.38%
|
| 226 |
+
2024,Credit Bureaus and Information Furnishers,Credit Bureaus�,"1,265,564",19.56%
|
| 227 |
+
2024,Credit Bureaus and Information Furnishers,Credit Information Furnishers,"88,008",1.36%
|
| 228 |
+
2024,Credit Cards�,Credit Cards�,"126,368",1.95%
|
| 229 |
+
2024,Debt Collection,Creditor Debt Collection,"65,564",1.01%
|
| 230 |
+
2024,Debt Collection,Third Party Debt Collection,"153,334",2.37%
|
| 231 |
+
2024,Education,Colleges & Universities,"23,227",0.36%
|
| 232 |
+
2024,Education,Trade & Vocational Schools,"2,649",0.04%
|
| 233 |
+
2024,Foreign Money Offers and Fake Check Scams,Fake Check Scams,"13,616",0.21%
|
| 234 |
+
2024,Foreign Money Offers and Fake Check Scams,Foreign Money & Inheritance Scams,"5,061",0.08%
|
| 235 |
+
2024,Funeral Services,Funeral Services,"1,233",0.02%
|
| 236 |
+
2024,Grants,Non-Educational Grants,"2,011",0.03%
|
| 237 |
+
2024,Grants,Scholarships & Educational Grants,236,0.00%
|
| 238 |
+
2024,Health Care,"Diet Products, Plans & Centers","18,294",0.28%
|
| 239 |
+
2024,Health Care,Eye Care*,"5,929",0.09%
|
| 240 |
+
2024,Health Care,Health Care Billing*,"1,500",0.02%
|
| 241 |
+
2024,Health Care,Medical Insurance & Discount Plans,"10,147",0.16%
|
| 242 |
+
2024,Health Care,Medical Treatments & Cures,"50,361",0.78%
|
| 243 |
+
2024,Health Care,Misc. Medical*,"29,629",0.46%
|
| 244 |
+
2024,"Home Improvement, Repair, and Solar�",Home Appliances and Connected Devices,"6,185",0.10%
|
| 245 |
+
2024,"Home Improvement, Repair, and Solar�",Home Furnishings,"7,517",0.12%
|
| 246 |
+
2024,"Home Improvement, Repair, and Solar�","Home Improvement, Repair, and Solar�","11,408",0.18%
|
| 247 |
+
2024,"Home Improvement, Repair, and Solar�",Home Protection Devices,"2,050",0.03%
|
| 248 |
+
2024,"Home Improvement, Repair, and Solar�",Home Warranties,"20,360",0.31%
|
| 249 |
+
2024,"Home Improvement, Repair, and Solar�",Housing,"34,501",0.53%
|
| 250 |
+
2024,Identity Theft,Identity Theft,"1,135,291",17.54%
|
| 251 |
+
2024,Imposter Scams,Business Imposters,"450,104",6.95%
|
| 252 |
+
2024,Imposter Scams,Family & Friend Imposters,"34,377",0.53%
|
| 253 |
+
2024,Imposter Scams,Government Imposters,"265,975",4.11%
|
| 254 |
+
2024,Imposter Scams,Romance Scams,"59,490",0.92%
|
| 255 |
+
2024,Imposter Scams,Tech Support Scams,"69,221",1.07%
|
| 256 |
+
2024,Internet Services,Broadband Internet Access*,"7,619",0.12%
|
| 257 |
+
2024,Internet Services,Broadband Internet Cost*,"15,313",0.24%
|
| 258 |
+
2024,Internet Services,Broadband Internet Speed*,"1,604",0.02%
|
| 259 |
+
2024,Internet Services,Gaming & Virtual Reality*,"11,353",0.18%
|
| 260 |
+
2024,Internet Services,Online Payment Services,"69,670",1.08%
|
| 261 |
+
2024,Internet Services,Social Networking Services,"14,173",0.22%
|
| 262 |
+
2024,Internet Services,Website Content,"29,672",0.46%
|
| 263 |
+
2024,Internet Services,Website Design & Promotion,"4,765",0.07%
|
| 264 |
+
2024,Investment Related,Miscellaneous Investments & Investment Advice,"116,071",1.79%
|
| 265 |
+
2024,Investment Related,Stocks & Commodity Futures Trading,"2,897",0.04%
|
| 266 |
+
2024,Magazines and Books,Books & Magazines,"5,435",0.08%
|
| 267 |
+
2024,Miscellaneous Reports,Business Equipment & Facilities Leasing,651,0.01%
|
| 268 |
+
2024,Miscellaneous Reports,Children's Products,"1,603",0.02%
|
| 269 |
+
2024,Miscellaneous Reports,Food,"17,697",0.27%
|
| 270 |
+
2024,Miscellaneous Reports,"Garments, Wool, Leather Goods & Textiles","1,047",0.02%
|
| 271 |
+
2024,Miscellaneous Reports,Immigration Services,"1,291",0.02%
|
| 272 |
+
2024,Miscellaneous Reports,Insurance (excl. Medical),"13,088",0.20%
|
| 273 |
+
2024,Miscellaneous Reports,Jewelry & Watches,"5,551",0.09%
|
| 274 |
+
2024,Miscellaneous Reports,Personal Care Products,"8,569",0.13%
|
| 275 |
+
2024,Miscellaneous Reports,Property & Inheritance Tracers,"2,341",0.04%
|
| 276 |
+
2024,Miscellaneous Reports,Real Estate,"20,140",0.31%
|
| 277 |
+
2024,Miscellaneous Reports,Tobacco Products,"1,025",0.02%
|
| 278 |
+
2024,Miscellaneous Reports,Utilities,"7,729",0.12%
|
| 279 |
+
2024,Mortgage Foreclosure Relief and Debt Management,Credit & Debt Counseling,"32,955",0.51%
|
| 280 |
+
2024,Mortgage Foreclosure Relief and Debt Management,Mortgage Modification & Foreclosure Relief,"1,205",0.02%
|
| 281 |
+
2024,Office Supplies and Services,Office Directory Listings & Ad Space,"1,339",0.02%
|
| 282 |
+
2024,Office Supplies and Services,Office Supplies & Services,"2,186",0.03%
|
| 283 |
+
2024,Online Shopping and Negative Reviews,Negative Online Reviews*,"1,539",0.02%
|
| 284 |
+
2024,Online Shopping and Negative Reviews,Online Shopping,"383,441",5.92%
|
| 285 |
+
2024,"Privacy, Data Security, and Cyber Threats",Malware & Computer Exploits�,"89,432",1.38%
|
| 286 |
+
2024,"Privacy, Data Security, and Cyber Threats",Privacy & Data Security,"21,601",0.33%
|
| 287 |
+
2024,"Prizes, Sweepstakes and Lotteries","Prizes, Sweepstakes & Lotteries","97,350",1.50%
|
| 288 |
+
2024,Tax Preparers,Tax Preparers,"5,317",0.08%
|
| 289 |
+
2024,Telephone and Mobile Services,Phone Billing,"16,499",0.25%
|
| 290 |
+
2024,Telephone and Mobile Services,"Phone Devices, Accessories & Services","75,680",1.17%
|
| 291 |
+
2024,Telephone and Mobile Services,Prepaid Phone Cards,"1,170",0.02%
|
| 292 |
+
2024,Television and Electronic Media,Cable & Satellite TV,"29,335",0.45%
|
| 293 |
+
2024,Television and Electronic Media,"Streaming, Digital Media, & Television�","4,048",0.06%
|
| 294 |
+
2024,"Travel, Vacations and Timeshare Plans",Timeshare Resales,"1,525",0.02%
|
| 295 |
+
2024,"Travel, Vacations and Timeshare Plans",Timeshare Sales,"9,741",0.15%
|
| 296 |
+
2024,"Travel, Vacations and Timeshare Plans",Vacation & Travel,"47,184",0.73%
|
| 297 |
+
2024,Unspecified Reports,Other Misc.,"463,991",7.17%
|
| 298 |
+
2024,Unspecified Reports,Unsolicited Email,"200,331",3.10%
|
| 299 |
+
2024,Unspecified Reports,Unsolicited Text Messages,"164,634",2.54%
|
| 300 |
+
2024,Unspecified Reports,Unwanted Telemarketing Calls,"141,902",2.19%
|
| 301 |
+
,,,,
|
| 302 |
+
,,,,
|
| 303 |
+
"Percentages are based on the total number of Sentinel reports in 2022 (5,317,751), 2023 (5,548,815), and 2024 (6,471,708). Consumers can report more than one category or subcategory.",,,,
|
| 304 |
+
* These subcategories are counted as Other report types even though the broader category assigned is Fraud.,,,,
|
| 305 |
+
� This subcategory is counted as Fraud even though the broader category assigned is Other.,,,,
|
| 306 |
+
"� Reports about credit report users were merged into this subcategory in 2024. Sentinel stopped accepting reports about credit bureaus from the Consumer Financial Protection Bureau and the Better Business Bureau on November 8, 2024.",,,,
|
| 307 |
+
"� Though this category and subcategory were renamed in 2024, reports about credit card loss protection continue to be included.",,,,
|
| 308 |
+
"� The Home Improvement, Repair, and Solar category and subcategory were renamed in 2024.",,,,
|
| 309 |
+
� Reports about TV programming and ads were merged into this subcategory in 2024. The subcategory was renamed at the same time.,,,,
|
| 310 |
+
,,,,
|
| 311 |
+
,,,,
|
| 312 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud, Identity Theft, and Other Reports by Military Consumers.csv
ADDED
|
@@ -0,0 +1,26 @@
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|
|
|
| 1 |
+
"Fraud, Identity Theft, and Other Reports by Military Consumers",,,,,
|
| 2 |
+
,,,,,
|
| 3 |
+
Military Status,# of Reports,# of Fraud Reports,% Reporting Fraud Loss,Total Fraud Loss,Median Fraud Loss
|
| 4 |
+
Active Duty Service Member,"17,336","7,292",41%,$71M,$920
|
| 5 |
+
Military Retiree/Veteran,"166,921","78,913",30%,$419M,$700
|
| 6 |
+
Reserve/National Guard,"11,753","6,022",35%,$40M,$855
|
| 7 |
+
Spouse/Dependent of Active Duty Service Member,"14,629","7,216",41%,$54M,$572
|
| 8 |
+
,,,,,
|
| 9 |
+
Military Branch,# of Reports,# of Fraud Reports,% Reporting Fraud Loss,Total Fraud Loss,Median Fraud Loss
|
| 10 |
+
U.S. Air Force,"39,063","19,825",27%,$96M,$584
|
| 11 |
+
U.S. Army,"91,035","38,885",32%,$217M,$731
|
| 12 |
+
U.S. Coast Guard,"3,292","1,643",33%,$9M,$500
|
| 13 |
+
U.S. Marines,"20,838","9,195",33%,$54M,$727
|
| 14 |
+
U.S. Navy,"40,907","19,101",30%,$95M,$569
|
| 15 |
+
U.S. Space Force,784,509,45%,$12M,"$1,300 "
|
| 16 |
+
,,,,,
|
| 17 |
+
"Of the 212,158 total reports from military consumers in 2024, 92% provided military branch information.",,,,,
|
| 18 |
+
,,,,,
|
| 19 |
+
Military Rank,# of Reports,# of Fraud Reports,% Reporting Fraud Loss,Total Fraud Loss,Median Fraud Loss
|
| 20 |
+
Enlisted,"129,955","68,201",31%,$325M,$640
|
| 21 |
+
Officer,"29,703","17,796",30%,$160M,$800
|
| 22 |
+
,,,,,
|
| 23 |
+
"Of the 212,518 total reports from military consumers in 2024, 75% provided information about rank.",,,,,
|
| 24 |
+
,,,,,
|
| 25 |
+
,,,,,
|
| 26 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Amount_Lost.csv
ADDED
|
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|
| 1 |
+
Fraud Reports by Amount Lost,,
|
| 2 |
+
,,
|
| 3 |
+
Number of Fraud Reports,"2,600,678",
|
| 4 |
+
Reports with $ Loss,"987,520",38% of the total
|
| 5 |
+
Total $ Loss,"$12,537,194,708 ",
|
| 6 |
+
Median $ Loss,$497 ,
|
| 7 |
+
,,
|
| 8 |
+
"Reported Fraud Losses in $1 - $10,000 + Range",,
|
| 9 |
+
Amount Lost,# of Reports,
|
| 10 |
+
"$1 - $1,000","624,110",
|
| 11 |
+
"$1,001 - $2,000","97,799",
|
| 12 |
+
"$2,001 - $3,000","42,845",
|
| 13 |
+
"$3,001 - $4,000","25,466",
|
| 14 |
+
"$4,001 - $5,000","22,667",
|
| 15 |
+
"$5,001 - $6,000","12,607",
|
| 16 |
+
"$6,001 - $7,000","9,348",
|
| 17 |
+
"$7,001 - $8,000","8,770",
|
| 18 |
+
"$8,001 - $9,000","6,372",
|
| 19 |
+
"$9,001 - $10,000","12,828",
|
| 20 |
+
"More than $10,000","124,708",
|
| 21 |
+
,,
|
| 22 |
+
"Reported Fraud Losses in $1 - $1,000 Range",,
|
| 23 |
+
Amount Lost ,# of Reports,
|
| 24 |
+
$1 - $100,"243,174",
|
| 25 |
+
$101 - $200,"114,336",
|
| 26 |
+
$201 - $300,"67,064",
|
| 27 |
+
$301 - $400,"44,982",
|
| 28 |
+
$401 - $500,"46,752",
|
| 29 |
+
$501 - $600,"26,702",
|
| 30 |
+
$601 - $700,"19,271",
|
| 31 |
+
$701 - $800,"19,664",
|
| 32 |
+
$801 - $900,"14,019",
|
| 33 |
+
"$901 - $1,000","28,146",
|
| 34 |
+
,,
|
| 35 |
+
"The amount lost is based on reports in which consumers indicated they lost between $1 and $999,999. ",,
|
| 36 |
+
,,
|
| 37 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Contact_Method.csv
ADDED
|
@@ -0,0 +1,17 @@
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|
| 1 |
+
Fraud Reports by Contact Method,,,,,
|
| 2 |
+
,,,,,
|
| 3 |
+
Contact Method,# of Reports,Percentage of all Fraud Reports with a Contact Method identified,"Of those reports, the percentage with a dollar loss reported ",Total $ Lost, Median $ Loss
|
| 4 |
+
Email,"371,651",25%,11%,$502M,$600
|
| 5 |
+
Phone call,"284,659",19%,19%,$948M,"$1,500 "
|
| 6 |
+
Text,"246,784",16%,11%,$470M,"$1,000 "
|
| 7 |
+
Social Media,"186,826",12%,70%,"$1,858M",$409
|
| 8 |
+
Website or Apps,"186,663",12%,68%,$976M,$200
|
| 9 |
+
Other,"148,288",10%,40%,"$1,072M",$633
|
| 10 |
+
Mail,"42,108",3%,13%,$90M,$990
|
| 11 |
+
Online Ad or Pop-up,"42,023",3%,62%,$246M,$180
|
| 12 |
+
,,,,,
|
| 13 |
+
Number of Fraud Reports,"2,600,678",,,,
|
| 14 |
+
# of Reports with Contact Method,"1,509,002",58% of Total,,,
|
| 15 |
+
,,,,,
|
| 16 |
+
"Other contact methods includes TV or radio, print, fax, in person, consumer initiated contact, and other methods consumers write in or that cannot be otherwise categorized.",,,,,
|
| 17 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,,
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krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Payment_Method.csv
ADDED
|
@@ -0,0 +1,18 @@
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|
| 1 |
+
Fraud Reports by Payment Method,,
|
| 2 |
+
,,
|
| 3 |
+
Payment Method,# of Reports, Total $ Loss
|
| 4 |
+
Credit Cards,"108,881",$275M
|
| 5 |
+
Payment App or Service,"90,571",$391M
|
| 6 |
+
Debit Card,"76,285",$180M
|
| 7 |
+
Bank Transfer or Payment,"47,336","$2,089M"
|
| 8 |
+
Cryptocurrency,"46,899","$1,417M"
|
| 9 |
+
Gift Card or Reload Card,"41,120",$212M
|
| 10 |
+
Wire Transfer,"40,448",$287M
|
| 11 |
+
Cash,"13,609",$308M
|
| 12 |
+
Check,"8,098",$225M
|
| 13 |
+
Money Order,"2,658",$51M
|
| 14 |
+
,,
|
| 15 |
+
Number of Fraud Reports,"2,600,678",
|
| 16 |
+
# of Reports with Payment Method,"475,905",18% of Total
|
| 17 |
+
,,
|
| 18 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,
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krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Age.csv
ADDED
|
@@ -0,0 +1,15 @@
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|
| 1 |
+
Identity Theft Reports by Age,
|
| 2 |
+
,
|
| 3 |
+
Age Range,# of Reports
|
| 4 |
+
19 and Under,"21,420"
|
| 5 |
+
20 - 29,"187,195"
|
| 6 |
+
30 - 39,"291,807"
|
| 7 |
+
40 - 49,"207,658"
|
| 8 |
+
50 - 59,"135,758"
|
| 9 |
+
60 - 69,"83,485"
|
| 10 |
+
70 - 79,"36,790"
|
| 11 |
+
80 and Over,"9,605"
|
| 12 |
+
,
|
| 13 |
+
"Of the 1,135,291 total identity theft reports in 2024, 86% included consumer age information.",
|
| 14 |
+
,
|
| 15 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
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krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Type.csv
ADDED
|
@@ -0,0 +1,37 @@
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|
| 1 |
+
Identity Theft Reports by Type,,,
|
| 2 |
+
,,,
|
| 3 |
+
Theft Type,Theft Subtype,# of Reports,% Difference From Previous Year
|
| 4 |
+
Bank Account,"Debit Cards, Electronic Funds Transfer, or ACH","42,041",0%
|
| 5 |
+
Bank Account,Existing Accounts,"17,645",-6%
|
| 6 |
+
Bank Account,New Accounts,"62,982",-25%
|
| 7 |
+
Credit Card,New Accounts ,"406,110",7%
|
| 8 |
+
Credit Card,Existing Accounts ,"52,428",17%
|
| 9 |
+
Employment or Tax-Related,Employment or Wage-Related Fraud,"37,556",20%
|
| 10 |
+
Employment or Tax-Related,Tax Fraud,"54,725",-10%
|
| 11 |
+
Government Documents or Benefits,Driver's License Issued\Forged,"9,501",6%
|
| 12 |
+
Government Documents or Benefits,Government Benefits Applied For\Received,"52,858",-36%
|
| 13 |
+
Government Documents or Benefits,Other Government Documents Issued\Forged,"12,376",36%
|
| 14 |
+
Government Documents or Benefits,Passport Issued\Forged,"2,105",30%
|
| 15 |
+
Loan or Lease,Apartment or House Rented,"17,790",35%
|
| 16 |
+
Loan or Lease,Auto Loan\Lease,"60,188",16%
|
| 17 |
+
Loan or Lease,Business\Personal Loan,"95,689",18%
|
| 18 |
+
Loan or Lease,Federal Student Loan,"7,487",10%
|
| 19 |
+
Loan or Lease,Non-Federal Student Loan,"12,747",17%
|
| 20 |
+
Loan or Lease,Real Estate Loan,"8,489",12%
|
| 21 |
+
Other Identity Theft,Email or Social Media,"22,258",14%
|
| 22 |
+
Other Identity Theft,Evading the Law,"5,793",5%
|
| 23 |
+
Other Identity Theft,Insurance,"15,587",37%
|
| 24 |
+
Other Identity Theft,Medical Services,"10,116",-26%
|
| 25 |
+
Other Identity Theft,Online Shopping or Payment Account,"19,797",9%
|
| 26 |
+
Other Identity Theft,Other,"299,201",46%
|
| 27 |
+
Other Identity Theft,Securities Accounts,"6,863",24%
|
| 28 |
+
Phone or Utilities,Landline Telephone � Existing Accounts,"1,194",6%
|
| 29 |
+
Phone or Utilities,Landline Telephone � New Accounts,"4,993",9%
|
| 30 |
+
Phone or Utilities,Mobile Telephone � Existing Accounts,"9,586",22%
|
| 31 |
+
Phone or Utilities,Mobile Telephone � New Accounts,"45,553",5%
|
| 32 |
+
Phone or Utilities,Utilities � Existing Accounts,"2,069",9%
|
| 33 |
+
Phone or Utilities,Utilities � New Accounts,"27,653",-4%
|
| 34 |
+
,,,
|
| 35 |
+
"Consumers can report multiple types of identity theft. In 2024, 14% of identity theft reports included more than one type of identity theft",,,
|
| 36 |
+
,,,
|
| 37 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
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krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Types_by_Age.csv
ADDED
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@@ -0,0 +1,14 @@
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|
| 1 |
+
Identity Theft Types by Age,,,,,,,,
|
| 2 |
+
,,,,,,,,
|
| 3 |
+
Theft Type,19 and Under,20 - 29,30 - 39,40 - 49,50 - 59,60 - 69,70 - 79,80 and Over
|
| 4 |
+
Bank Account,"1,830","17,137","26,277","22,475","18,075","14,684","7,794","2,340"
|
| 5 |
+
Credit Card,"2,447","81,362","131,297","89,864","52,940","28,281","11,861","2,987"
|
| 6 |
+
Employment or Tax-Related,"11,569","16,158","18,941","15,096","10,937","7,992","3,220",742
|
| 7 |
+
Government Documents or Benefits,"2,771","9,438","14,306","12,915","11,492","9,058","4,338",1343
|
| 8 |
+
Loan or Lease,1062,"30,510","53,001","36,598","22,092","13,458","5,784","1,416"
|
| 9 |
+
Other Identity Theft,"2,969","53,580","85,773","57,952","35,213","17,372","6,852","1,797"
|
| 10 |
+
Phone or Utilities,735,"13,833","24,005","17,419","11,710","7,642","3,132",829
|
| 11 |
+
,,,,,,,,
|
| 12 |
+
"Of the 1,135,291 total identity theft reports in 2024, 86% included consumer age information.",,,,,,,,
|
| 13 |
+
,,,,,,,,
|
| 14 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,,,,,
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krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Major_Data_Contributors.csv
ADDED
|
@@ -0,0 +1,20 @@
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|
| 1 |
+
Major Data Contributors,,,
|
| 2 |
+
,,,
|
| 3 |
+
Data Contributor,Data Contributor Type,# of Reports,%
|
| 4 |
+
"FTC - ""877 FTC HELP"" (Fraud & Other)",FTC,"135,095",2.09%
|
| 5 |
+
"FTC - ""877 ID THEFT""",FTC,"104,102",1.61%
|
| 6 |
+
FTC - Mobile Reports (Fraud & Other),FTC,"681,383",10.53%
|
| 7 |
+
FTC - Mobile Reports (IDT),FTC,"240,869",3.72%
|
| 8 |
+
FTC - Web Reports (Fraud & Other),FTC,"715,248",11.05%
|
| 9 |
+
FTC - Web Reports (IDT),FTC,"787,763",12.17%
|
| 10 |
+
Australian Competition and Consumer Commission,Other Data Contributors,"148,346",2.29%
|
| 11 |
+
Better Business Bureau,Other Data Contributors,"1,073,372",16.59%
|
| 12 |
+
Consumer Financial Protection Bureau,Other Data Contributors,"1,684,949",26.04%
|
| 13 |
+
Internet Crime Complaint Center,Other Data Contributors,"195,395",3.02%
|
| 14 |
+
Other Data Contributors,Other Data Contributors,"392,804",6.07%
|
| 15 |
+
State Law Enforcement Agencies,Other Data Contributors,"152,636",2.36%
|
| 16 |
+
U.S. Department of Education,Other Data Contributors,"159,746",2.47%
|
| 17 |
+
,,,
|
| 18 |
+
"Percentages are based on the total number of 2024 Sentinel reports (6,471,708). Where appropriate, the type of report provided by the organization is indicated in parenthesis.",,,
|
| 19 |
+
,,,
|
| 20 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
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krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Metropolitan_Areas_Fraud_and_Other_Reports.csv
ADDED
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@@ -0,0 +1,408 @@
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|
|
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|
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|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,,,
|
| 2 |
+
,,,
|
| 3 |
+
Rank,Metropolitan Area,Reports per 100K Population,# of Reports
|
| 4 |
+
1,"Miami-Fort Lauderdale-West Palm Beach, FL Metropolitan Statistical Area","2,793","171,462"
|
| 5 |
+
2,"Atlanta-Sandy Springs-Roswell, GA Metropolitan Statistical Area","2,712","167,515"
|
| 6 |
+
3,"Sebastian-Vero Beach-West Vero Corridor, FL Metropolitan Statistical Area","2,612","4,280"
|
| 7 |
+
4,"Orlando-Kissimmee-Sanford, FL Metropolitan Statistical Area","2,330","63,405"
|
| 8 |
+
5,"North Port-Bradenton-Sarasota, FL Metropolitan Statistical Area","2,244","19,410"
|
| 9 |
+
6,"Charleston-North Charleston, SC Metropolitan Statistical Area","2,141","17,509"
|
| 10 |
+
7,"Lakeland-Winter Haven, FL Metropolitan Statistical Area","2,132","16,226"
|
| 11 |
+
8,"Las Vegas-Henderson-North Las Vegas, NV Metropolitan Statistical Area","2,122","48,682"
|
| 12 |
+
9,"Tampa-St. Petersburg-Clearwater, FL Metropolitan Statistical Area","2,051","66,454"
|
| 13 |
+
10,"Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area","2,046","159,709"
|
| 14 |
+
11,"Palm Bay-Melbourne-Titusville, FL Metropolitan Statistical Area","2,020","12,534"
|
| 15 |
+
12,"East Stroudsburg, PA Micropolitan Statistical Area","1,986","3,332"
|
| 16 |
+
13,"Tuscaloosa, AL Metropolitan Statistical Area","1,959","5,391"
|
| 17 |
+
14,"Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metropolitan Statistical Area","1,954","121,966"
|
| 18 |
+
15,"Jacksonville, FL Metropolitan Statistical Area","1,918","31,560"
|
| 19 |
+
16,"Port St. Lucie, FL Metropolitan Statistical Area","1,907","9,665"
|
| 20 |
+
17,"Odessa, TX Metropolitan Statistical Area","1,901","3,103"
|
| 21 |
+
18,"Houston-Pasadena-The Woodlands, TX Metropolitan Statistical Area","1,873","136,239"
|
| 22 |
+
19,"Memphis, TN-MS-AR Metropolitan Statistical Area","1,867","25,046"
|
| 23 |
+
20,"Baltimore-Columbia-Towson, MD Metropolitan Statistical Area","1,854","52,648"
|
| 24 |
+
21,"Savannah, GA Metropolitan Statistical Area","1,853","7,635"
|
| 25 |
+
22,"Warner Robins, GA Metropolitan Statistical Area","1,838","3,587"
|
| 26 |
+
23,"Baton Rouge, LA Metropolitan Statistical Area","1,830","15,942"
|
| 27 |
+
24,"Lubbock, TX Metropolitan Statistical Area","1,811","6,424"
|
| 28 |
+
25,"Charlotte-Concord-Gastonia, NC-SC Metropolitan Statistical Area","1,774","48,136"
|
| 29 |
+
26,"Shreveport-Bossier City, LA Metropolitan Statistical Area","1,769","6,883"
|
| 30 |
+
27,"Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area","1,756","109,978"
|
| 31 |
+
28,"New Orleans-Metairie, LA Metropolitan Statistical Area","1,753","17,332"
|
| 32 |
+
29,"Montgomery, AL Metropolitan Statistical Area","1,752","6,748"
|
| 33 |
+
30,"Birmingham, AL Metropolitan Statistical Area","1,748","20,649"
|
| 34 |
+
31,"Deltona-Daytona Beach-Ormond Beach, FL Metropolitan Statistical Area","1,738","11,988"
|
| 35 |
+
32,"Killeen-Temple, TX Metropolitan Statistical Area","1,728","8,395"
|
| 36 |
+
33,"Columbus, GA-AL Metropolitan Statistical Area","1,699","5,541"
|
| 37 |
+
34,"Dover, DE Metropolitan Statistical Area","1,688","3,124"
|
| 38 |
+
35,"Chicago-Naperville-Elgin, IL-IN Metropolitan Statistical Area","1,688","158,000"
|
| 39 |
+
36,"Punta Gorda, FL Metropolitan Statistical Area","1,682","3,281"
|
| 40 |
+
37,"Fayetteville, NC Metropolitan Statistical Area","1,665","6,492"
|
| 41 |
+
38,"Macon-Bibb County, GA Metropolitan Statistical Area","1,649","3,860"
|
| 42 |
+
39,"Tallahassee, FL Metropolitan Statistical Area","1,639","6,363"
|
| 43 |
+
40,"Allentown-Bethlehem-Easton, PA-NJ Metropolitan Statistical Area","1,623","14,070"
|
| 44 |
+
41,"Ocala, FL Metropolitan Statistical Area","1,616","6,266"
|
| 45 |
+
42,"Columbia, SC Metropolitan Statistical Area","1,613","13,548"
|
| 46 |
+
43,"Lafayette, LA Metropolitan Statistical Area","1,593","6,545"
|
| 47 |
+
44,"Alexandria, LA Metropolitan Statistical Area","1,592","2,398"
|
| 48 |
+
45,"Augusta-Richmond County, GA-SC Metropolitan Statistical Area","1,591","9,834"
|
| 49 |
+
46,"Huntsville, AL Metropolitan Statistical Area","1,581","7,978"
|
| 50 |
+
47,"Cape Coral-Fort Myers, FL Metropolitan Statistical Area","1,578","12,512"
|
| 51 |
+
48,"Virginia Beach-Chesapeake-Norfolk, VA-NC Metropolitan Statistical Area","1,575","28,077"
|
| 52 |
+
49,"New York-Newark-Jersey City, NY-NJ Metropolitan Statistical Area","1,564","309,066"
|
| 53 |
+
50,"Phoenix-Mesa-Chandler, AZ Metropolitan Statistical Area","1,553","76,729"
|
| 54 |
+
51,"Mobile, AL Metropolitan Statistical Area","1,542","6,371"
|
| 55 |
+
52,"Detroit-Warren-Dearborn, MI Metropolitan Statistical Area","1,519","66,361"
|
| 56 |
+
53,"Richmond, VA Metropolitan Statistical Area","1,518","20,145"
|
| 57 |
+
54,"Gainesville, FL Metropolitan Statistical Area","1,513","5,211"
|
| 58 |
+
55,"Myrtle Beach-Conway-North Myrtle Beach, SC Metropolitan Statistical Area","1,507","5,559"
|
| 59 |
+
56,"Lumberton, NC Micropolitan Statistical Area","1,506","1,760"
|
| 60 |
+
57,"Austin-Round Rock-San Marcos, TX Metropolitan Statistical Area","1,504","35,466"
|
| 61 |
+
58,"St. Louis, MO-IL Metropolitan Statistical Area","1,497","42,059"
|
| 62 |
+
59,"Raleigh-Cary, NC Metropolitan Statistical Area","1,494","21,651"
|
| 63 |
+
60,"Kankakee, IL Metropolitan Statistical Area","1,493","1,595"
|
| 64 |
+
61,"Indianapolis-Carmel-Greenwood, IN Metropolitan Statistical Area","1,487","31,318"
|
| 65 |
+
62,"Elizabethtown, KY Metropolitan Statistical Area","1,486","1,880"
|
| 66 |
+
63,"Fort Collins-Loveland, CO Metropolitan Statistical Area","1,484","5,396"
|
| 67 |
+
64,"Los Angeles-Long Beach-Anaheim, CA Metropolitan Statistical Area","1,473","191,725"
|
| 68 |
+
65,"Prescott Valley-Prescott, AZ Metropolitan Statistical Area","1,448","3,500"
|
| 69 |
+
66,"Homosassa Springs, FL Metropolitan Statistical Area","1,448","2,298"
|
| 70 |
+
67,"Cleveland, OH Metropolitan Statistical Area","1,443","31,336"
|
| 71 |
+
68,"Vallejo, CA Metropolitan Statistical Area","1,437","6,477"
|
| 72 |
+
69,"Trenton-Princeton, NJ Metropolitan Statistical Area","1,434","5,497"
|
| 73 |
+
70,"Greenville-Anderson-Greer, SC Metropolitan Statistical Area","1,426","13,480"
|
| 74 |
+
71,"Greensboro-High Point, NC Metropolitan Statistical Area","1,420","11,078"
|
| 75 |
+
72,"Naples-Marco Island, FL Metropolitan Statistical Area","1,413","5,479"
|
| 76 |
+
73,"Panama City-Panama City Beach, FL Metropolitan Statistical Area","1,413","2,920"
|
| 77 |
+
74,"San Antonio-New Braunfels, TX Metropolitan Statistical Area","1,407","36,765"
|
| 78 |
+
75,"Pensacola-Ferry Pass-Brent, FL Metropolitan Statistical Area","1,406","7,267"
|
| 79 |
+
76,"Florence, SC Metropolitan Statistical Area","1,401","2,797"
|
| 80 |
+
77,"LaGrange, GA-AL Micropolitan Statistical Area","1,393","1,453"
|
| 81 |
+
78,"Sumter, SC Metropolitan Statistical Area","1,384","1,451"
|
| 82 |
+
79,"Sebring, FL Metropolitan Statistical Area","1,378","1,430"
|
| 83 |
+
80,"Sacramento-Roseville-Folsom, CA Metropolitan Statistical Area","1,372","33,026"
|
| 84 |
+
81,"Greenville, NC Metropolitan Statistical Area","1,370","2,360"
|
| 85 |
+
82,"Tucson, AZ Metropolitan Statistical Area","1,364","14,321"
|
| 86 |
+
83,"Boulder, CO Metropolitan Statistical Area","1,359","4,462"
|
| 87 |
+
84,"Little Rock-North Little Rock-Conway, AR Metropolitan Statistical Area","1,358","10,233"
|
| 88 |
+
85,"Colorado Springs, CO Metropolitan Statistical Area","1,351","10,275"
|
| 89 |
+
86,"Columbus, OH Metropolitan Statistical Area","1,348","28,999"
|
| 90 |
+
87,"Durham-Chapel Hill, NC Metropolitan Statistical Area","1,335","7,936"
|
| 91 |
+
88,"Seaford, DE Micropolitan Statistical Area","1,333","3,303"
|
| 92 |
+
89,"San Diego-Chula Vista-Carlsbad, CA Metropolitan Statistical Area","1,330","43,651"
|
| 93 |
+
90,"Rocky Mount, NC Metropolitan Statistical Area","1,326","1,912"
|
| 94 |
+
91,"Denver-Aurora-Centennial, CO Metropolitan Statistical Area","1,325","39,443"
|
| 95 |
+
92,"Wildwood-The Villages, FL Metropolitan Statistical Area","1,325","1,822"
|
| 96 |
+
93,"Riverside-San Bernardino-Ontario, CA Metropolitan Statistical Area","1,324","61,410"
|
| 97 |
+
94,"Jackson, MS Metropolitan Statistical Area","1,322","8,141"
|
| 98 |
+
95,"Albany, GA Metropolitan Statistical Area","1,321","1,939"
|
| 99 |
+
96,"New Haven, CT Metropolitan Statistical Area","1,311","7,428"
|
| 100 |
+
97,"Lake Havasu City-Kingman, AZ Metropolitan Statistical Area","1,309","2,845"
|
| 101 |
+
98,"Sierra Vista-Douglas, AZ Metropolitan Statistical Area","1,293","1,622"
|
| 102 |
+
99,"San Francisco-Oakland-Fremont, CA Metropolitan Statistical Area","1,291","60,059"
|
| 103 |
+
100,"Akron, OH Metropolitan Statistical Area","1,286","8,993"
|
| 104 |
+
101,"Asheville, NC Metropolitan Statistical Area","1,283","5,270"
|
| 105 |
+
102,"Atlantic City-Hammonton, NJ Metropolitan Statistical Area","1,279","4,730"
|
| 106 |
+
103,"Clarksville, TN-KY Metropolitan Statistical Area","1,274","4,186"
|
| 107 |
+
104,"Midland, TX Metropolitan Statistical Area","1,271","2,247"
|
| 108 |
+
105,"Truckee-Grass Valley, CA Micropolitan Statistical Area","1,268","1,299"
|
| 109 |
+
106,"Spartanburg, SC Metropolitan Statistical Area","1,264","4,616"
|
| 110 |
+
107,"Kiryas Joel-Poughkeepsie-Newburgh, NY Metropolitan Statistical Area","1,262","8,844"
|
| 111 |
+
108,"Scranton--Wilkes-Barre, PA Metropolitan Statistical Area","1,261","7,162"
|
| 112 |
+
109,"Winchester, VA-WV Metropolitan Statistical Area","1,260","1,823"
|
| 113 |
+
110,"Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area","1,258","50,609"
|
| 114 |
+
111,"Bridgeport-Stamford-Danbury, CT Metropolitan Statistical Area","1,252","11,861"
|
| 115 |
+
112,"Slidell-Mandeville-Covington, LA Metropolitan Statistical Area","1,246","3,356"
|
| 116 |
+
113,"Nashville-Davidson--Murfreesboro--Franklin, TN Metropolitan Statistical Area","1,246","25,458"
|
| 117 |
+
114,"Santa Fe, NM Metropolitan Statistical Area","1,242","1,927"
|
| 118 |
+
115,"Pittsburgh, PA Metropolitan Statistical Area","1,241","30,335"
|
| 119 |
+
116,"Vineland, NJ Metropolitan Statistical Area","1,241","1,897"
|
| 120 |
+
117,"Milwaukee-Waukesha, WI Metropolitan Statistical Area","1,233","19,316"
|
| 121 |
+
118,"Flint, MI Metropolitan Statistical Area","1,232","4,978"
|
| 122 |
+
119,"Hagerstown-Martinsburg, MD-WV Metropolitan Statistical Area","1,228","3,665"
|
| 123 |
+
120,"Harrisburg-Carlisle, PA Metropolitan Statistical Area","1,227","7,336"
|
| 124 |
+
121,"Tyler, TX Metropolitan Statistical Area","1,222","2,909"
|
| 125 |
+
122,"Olympia-Lacey-Tumwater, WA Metropolitan Statistical Area","1,221","3,621"
|
| 126 |
+
123,"Boston-Cambridge-Newton, MA-NH Metropolitan Statistical Area","1,218","59,918"
|
| 127 |
+
124,"Hartford-West Hartford-East Hartford, CT Metropolitan Statistical Area","1,209","13,836"
|
| 128 |
+
125,"El Paso, TX Metropolitan Statistical Area","1,205","10,479"
|
| 129 |
+
126,"Reno, NV Metropolitan Statistical Area","1,203","6,697"
|
| 130 |
+
127,"Wilmington, NC Metropolitan Statistical Area","1,203","5,300"
|
| 131 |
+
128,"Anderson Creek, NC Micropolitan Statistical Area","1,198","1,635"
|
| 132 |
+
129,"Portland-Vancouver-Hillsboro, OR-WA Metropolitan Statistical Area","1,192","29,934"
|
| 133 |
+
130,"Waterbury-Shelton, CT Metropolitan Statistical Area","1,189","5,378"
|
| 134 |
+
131,"Lexington Park, MD Metropolitan Statistical Area","1,188","2,473"
|
| 135 |
+
132,"Valdosta, GA Metropolitan Statistical Area","1,186","1,769"
|
| 136 |
+
133,"Chattanooga, TN-GA Metropolitan Statistical Area","1,183","6,737"
|
| 137 |
+
134,"Bremerton-Silverdale-Port Orchard, WA Metropolitan Statistical Area","1,182","3,269"
|
| 138 |
+
135,"Rockford, IL Metropolitan Statistical Area","1,176","3,959"
|
| 139 |
+
136,"Ann Arbor, MI Metropolitan Statistical Area","1,173","4,321"
|
| 140 |
+
137,"Reading, PA Metropolitan Statistical Area","1,173","5,043"
|
| 141 |
+
138,"Hilton Head Island-Bluffton-Port Royal, SC Metropolitan Statistical Area","1,172","2,611"
|
| 142 |
+
139,"Roanoke, VA Metropolitan Statistical Area","1,168","3,674"
|
| 143 |
+
140,"Crestview-Fort Walton Beach-Destin, FL Metropolitan Statistical Area","1,166","3,429"
|
| 144 |
+
141,"Manchester-Nashua, NH Metropolitan Statistical Area","1,166","4,951"
|
| 145 |
+
142,"Brunswick-St. Simons, GA Metropolitan Statistical Area","1,163","1,330"
|
| 146 |
+
143,"Kingston, NY Metropolitan Statistical Area","1,161","2,114"
|
| 147 |
+
144,"Omaha, NE-IA Metropolitan Statistical Area","1,160","11,283"
|
| 148 |
+
145,"Albany-Schenectady-Troy, NY Metropolitan Statistical Area","1,159","10,455"
|
| 149 |
+
146,"Albuquerque, NM Metropolitan Statistical Area","1,147","10,534"
|
| 150 |
+
147,"Gulfport-Biloxi, MS Metropolitan Statistical Area","1,143","4,784"
|
| 151 |
+
148,"San Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Area","1,140","22,452"
|
| 152 |
+
149,"Oxnard-Thousand Oaks-Ventura, CA Metropolitan Statistical Area","1,136","9,522"
|
| 153 |
+
150,"Lexington-Fayette, KY Metropolitan Statistical Area","1,134","5,868"
|
| 154 |
+
151,"New Bern, NC Micropolitan Statistical Area","1,133","1,390"
|
| 155 |
+
152,"Kalamazoo-Portage, MI Metropolitan Statistical Area","1,130","2,954"
|
| 156 |
+
153,"Longview, TX Metropolitan Statistical Area","1,126","3,254"
|
| 157 |
+
154,"Cheyenne, WY Metropolitan Statistical Area","1,124","1,131"
|
| 158 |
+
155,"Monroe, LA Metropolitan Statistical Area","1,122","2,522"
|
| 159 |
+
156,"Anniston-Oxford, AL Metropolitan Statistical Area","1,118","1,299"
|
| 160 |
+
157,"Burlington, NC Metropolitan Statistical Area","1,116","1,945"
|
| 161 |
+
158,"Kansas City, MO-KS Metropolitan Statistical Area","1,115","24,559"
|
| 162 |
+
159,"Champaign-Urbana, IL Metropolitan Statistical Area","1,114","2,631"
|
| 163 |
+
160,"Torrington, CT Micropolitan Statistical Area","1,109","1,252"
|
| 164 |
+
161,"Daphne-Fairhope-Foley, AL Metropolitan Statistical Area","1,105","2,652"
|
| 165 |
+
162,"Hammond, LA Metropolitan Statistical Area","1,100","1,488"
|
| 166 |
+
163,"Hattiesburg, MS Metropolitan Statistical Area","1,097","1,695"
|
| 167 |
+
164,"Beaumont-Port Arthur, TX Metropolitan Statistical Area","1,090","4,317"
|
| 168 |
+
165,"Auburn-Opelika, AL Metropolitan Statistical Area","1,089","2,141"
|
| 169 |
+
166,"Eugene-Springfield, OR Metropolitan Statistical Area","1,089","4,165"
|
| 170 |
+
167,"Spokane-Spokane Valley, WA Metropolitan Statistical Area","1,086","6,424"
|
| 171 |
+
168,"Winston-Salem, NC Metropolitan Statistical Area","1,085","7,415"
|
| 172 |
+
169,"Dayton-Kettering-Beavercreek, OH Metropolitan Statistical Area","1,084","8,820"
|
| 173 |
+
170,"Springfield, MA Metropolitan Statistical Area","1,079","4,994"
|
| 174 |
+
171,"Bellingham, WA Metropolitan Statistical Area","1,077","2,461"
|
| 175 |
+
172,"Bend, OR Metropolitan Statistical Area","1,077","2,732"
|
| 176 |
+
173,"San Luis Obispo-Paso Robles, CA Metropolitan Statistical Area","1,076","3,028"
|
| 177 |
+
174,"Stockton-Lodi, CA Metropolitan Statistical Area","1,074","8,456"
|
| 178 |
+
175,"Jacksonville, NC Metropolitan Statistical Area","1,074","2,239"
|
| 179 |
+
176,"Rochester, NY Metropolitan Statistical Area","1,073","11,364"
|
| 180 |
+
177,"Pueblo, CO Metropolitan Statistical Area","1,071","1,807"
|
| 181 |
+
178,"Cincinnati, OH-KY-IN Metropolitan Statistical Area","1,071","24,149"
|
| 182 |
+
179,"Norwich-New London-Willimantic, CT Metropolitan Statistical Area","1,067","2,978"
|
| 183 |
+
180,"Louisville/Jefferson County, KY-IN Metropolitan Statistical Area","1,065","14,501"
|
| 184 |
+
181,"Oklahoma City, OK Metropolitan Statistical Area","1,065","15,385"
|
| 185 |
+
182,"Hot Springs, AR Metropolitan Statistical Area","1,064","1,065"
|
| 186 |
+
183,"Charlottesville, VA Metropolitan Statistical Area","1,064","2,371"
|
| 187 |
+
184,"Shelby-Kings Mountain, NC Micropolitan Statistical Area","1,057","1,059"
|
| 188 |
+
185,"Bakersfield-Delano, CA Metropolitan Statistical Area","1,057","9,625"
|
| 189 |
+
186,"Toledo, OH Metropolitan Statistical Area","1,052","6,344"
|
| 190 |
+
187,"Salt Lake City-Murray, UT Metropolitan Statistical Area","1,042","13,144"
|
| 191 |
+
188,"Providence-Warwick, RI-MA Metropolitan Statistical Area","1,042","17,440"
|
| 192 |
+
189,"Springfield, IL Metropolitan Statistical Area","1,041","2,159"
|
| 193 |
+
190,"Anchorage, AK Metropolitan Statistical Area","1,035","4,138"
|
| 194 |
+
191,"Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area","1,033","38,139"
|
| 195 |
+
192,"Missoula, MT Metropolitan Statistical Area","1,024","1,274"
|
| 196 |
+
193,"Fresno, CA Metropolitan Statistical Area","1,022","11,969"
|
| 197 |
+
194,"Amarillo, TX Metropolitan Statistical Area","1,020","2,756"
|
| 198 |
+
195,"Santa Rosa-Petaluma, CA Metropolitan Statistical Area","1,015","4,928"
|
| 199 |
+
196,"Santa Cruz-Watsonville, CA Metropolitan Statistical Area","1,015","2,699"
|
| 200 |
+
197,"Gadsden, AL Metropolitan Statistical Area","1,014","1,047"
|
| 201 |
+
198,"Lebanon, PA Metropolitan Statistical Area","1,013","1,455"
|
| 202 |
+
199,"Lawton, OK Metropolitan Statistical Area","1,010","1,284"
|
| 203 |
+
200,"Wichita Falls, TX Metropolitan Statistical Area","1,010","1,504"
|
| 204 |
+
201,"Barnstable Town, MA Metropolitan Statistical Area","1,009","2,322"
|
| 205 |
+
202,"Syracuse, NY Metropolitan Statistical Area","1,008","6,626"
|
| 206 |
+
203,"Tulsa, OK Metropolitan Statistical Area","1,007","10,338"
|
| 207 |
+
204,"York-Hanover, PA Metropolitan Statistical Area","1,005","4,617"
|
| 208 |
+
205,"Goldsboro, NC Metropolitan Statistical Area","1,005","1,182"
|
| 209 |
+
206,"Worcester, MA Metropolitan Statistical Area","1,005","8,660"
|
| 210 |
+
207,"Madison, WI Metropolitan Statistical Area","1,002","6,855"
|
| 211 |
+
208,"Buffalo-Cheektowaga, NY Metropolitan Statistical Area","1,002","11,637"
|
| 212 |
+
209,"Gainesville, GA Metropolitan Statistical Area","1,001","2,087"
|
| 213 |
+
210,"Danville, VA Micropolitan Statistical Area","1,001","1,025"
|
| 214 |
+
211,"Hilo-Kailua, HI Micropolitan Statistical Area","1,000","2,036"
|
| 215 |
+
212,"Salisbury, MD Metropolitan Statistical Area",999,"1,287"
|
| 216 |
+
213,"Chico, CA Metropolitan Statistical Area",997,"2,088"
|
| 217 |
+
214,"Amherst Town-Northampton, MA Metropolitan Statistical Area",996,"1,560"
|
| 218 |
+
215,"Kalispell, MT Micropolitan Statistical Area",995,"1,079"
|
| 219 |
+
216,"Lynchburg, VA Metropolitan Statistical Area",992,"2,607"
|
| 220 |
+
217,"Medford, OR Metropolitan Statistical Area",992,"2,207"
|
| 221 |
+
218,"Sherman-Denison, TX Metropolitan Statistical Area",988,"1,383"
|
| 222 |
+
219,"Decatur, IL Metropolitan Statistical Area",985,"1,011"
|
| 223 |
+
220,"Coeur d'Alene, ID Metropolitan Statistical Area",983,"1,748"
|
| 224 |
+
221,"Pottsville, PA Micropolitan Statistical Area",982,"1,407"
|
| 225 |
+
222,"Waco, TX Metropolitan Statistical Area",982,"2,938"
|
| 226 |
+
223,"Fort Wayne, IN Metropolitan Statistical Area",982,"4,431"
|
| 227 |
+
224,"Pittsfield, MA Metropolitan Statistical Area",980,"1,255"
|
| 228 |
+
225,"Urban Honolulu, HI Metropolitan Statistical Area",979,"9,823"
|
| 229 |
+
226,"Lansing-East Lansing, MI Metropolitan Statistical Area",977,"4,598"
|
| 230 |
+
227,"Pinehurst-Southern Pines, NC Metropolitan Statistical Area",976,"1,004"
|
| 231 |
+
228,"Las Cruces, NM Metropolitan Statistical Area",974,"2,158"
|
| 232 |
+
229,"Hickory-Lenoir-Morganton, NC Metropolitan Statistical Area",971,"3,563"
|
| 233 |
+
230,"Racine-Mount Pleasant, WI Metropolitan Statistical Area",971,"1,911"
|
| 234 |
+
231,"Jackson, TN Metropolitan Statistical Area",970,"1,754"
|
| 235 |
+
232,"Dothan, AL Metropolitan Statistical Area",969,"1,471"
|
| 236 |
+
233,"Concord, NH Micropolitan Statistical Area",964,"1,494"
|
| 237 |
+
234,"Knoxville, TN Metropolitan Statistical Area",963,"8,856"
|
| 238 |
+
235,"Redding, CA Metropolitan Statistical Area",962,"1,747"
|
| 239 |
+
236,"Youngstown-Warren, OH Metropolitan Statistical Area",958,"4,105"
|
| 240 |
+
237,"Boise City, ID Metropolitan Statistical Area",958,"7,571"
|
| 241 |
+
238,"Michigan City-La Porte, IN Metropolitan Statistical Area",957,"1,073"
|
| 242 |
+
239,"Tupelo, MS Micropolitan Statistical Area",955,"1,262"
|
| 243 |
+
240,"Burlington-South Burlington, VT Metropolitan Statistical Area",955,"2,164"
|
| 244 |
+
241,"Bloomington, IL Metropolitan Statistical Area",950,"1,624"
|
| 245 |
+
242,"Grand Junction, CO Metropolitan Statistical Area",943,"1,483"
|
| 246 |
+
243,"Ithaca, NY Metropolitan Statistical Area",940,967
|
| 247 |
+
244,"Lake Charles, LA Metropolitan Statistical Area",939,"2,309"
|
| 248 |
+
245,"Portland-South Portland, ME Metropolitan Statistical Area",935,"5,215"
|
| 249 |
+
246,"Binghamton, NY Metropolitan Statistical Area",934,"2,296"
|
| 250 |
+
247,"Sunbury, PA Micropolitan Statistical Area",932,"1,016"
|
| 251 |
+
248,"Lebanon-Claremont, NH-VT Micropolitan Statistical Area",931,"2,075"
|
| 252 |
+
249,"Kahului-Wailuku, HI Metropolitan Statistical Area",930,"1,532"
|
| 253 |
+
250,"South Bend-Mishawaka, IN-MI Metropolitan Statistical Area",927,"3,006"
|
| 254 |
+
251,"Eureka-Arcata, CA Micropolitan Statistical Area",927,"1,255"
|
| 255 |
+
252,"Canton-Massillon, OH Metropolitan Statistical Area",927,"3,711"
|
| 256 |
+
253,"Springfield, MO Metropolitan Statistical Area",919,"4,427"
|
| 257 |
+
254,"Evansville, IN Metropolitan Statistical Area",917,"2,472"
|
| 258 |
+
255,"Johnson City, TN Metropolitan Statistical Area",915,"1,912"
|
| 259 |
+
256,"Salem, OR Metropolitan Statistical Area",915,"3,979"
|
| 260 |
+
257,"Lewiston-Auburn, ME Metropolitan Statistical Area",913,"1,025"
|
| 261 |
+
258,"Kenosha, WI Metropolitan Statistical Area",910,"1,532"
|
| 262 |
+
259,"Morgantown, WV Metropolitan Statistical Area",910,"1,280"
|
| 263 |
+
260,"Topeka, KS Metropolitan Statistical Area",907,"2,110"
|
| 264 |
+
261,"College Station-Bryan, TX Metropolitan Statistical Area",905,"2,472"
|
| 265 |
+
262,"Columbia, MO Metropolitan Statistical Area",903,"1,921"
|
| 266 |
+
263,"Grand Rapids-Wyoming-Kentwood, MI Metropolitan Statistical Area",902,"10,409"
|
| 267 |
+
264,"Texarkana, TX-AR Metropolitan Statistical Area",901,"1,324"
|
| 268 |
+
265,"Yuma, AZ Metropolitan Statistical Area",901,"1,872"
|
| 269 |
+
266,"Peoria, IL Metropolitan Statistical Area",901,"3,296"
|
| 270 |
+
267,"Bozeman, MT Metropolitan Statistical Area",901,"1,101"
|
| 271 |
+
268,"Napa, CA Metropolitan Statistical Area",900,"1,225"
|
| 272 |
+
269,"Erie, PA Metropolitan Statistical Area",900,"2,425"
|
| 273 |
+
270,"Jackson, MI Metropolitan Statistical Area",897,"1,437"
|
| 274 |
+
271,"Niles, MI Metropolitan Statistical Area",897,"1,376"
|
| 275 |
+
272,"Albany, OR Metropolitan Statistical Area",896,"1,163"
|
| 276 |
+
273,"Wichita, KS Metropolitan Statistical Area",895,"5,811"
|
| 277 |
+
274,"Lawrence, KS Metropolitan Statistical Area",895,"1,070"
|
| 278 |
+
275,"Greeley, CO Metropolitan Statistical Area",893,"3,042"
|
| 279 |
+
276,"Athens-Clarke County, GA Metropolitan Statistical Area",893,"1,948"
|
| 280 |
+
277,"Mount Vernon-Anacortes, WA Metropolitan Statistical Area",893,"1,164"
|
| 281 |
+
278,"Yuba City, CA Metropolitan Statistical Area",885,"1,611"
|
| 282 |
+
279,"Davenport-Moline-Rock Island, IA-IL Metropolitan Statistical Area",884,"3,376"
|
| 283 |
+
280,"Charleston, WV Metropolitan Statistical Area",883,"1,831"
|
| 284 |
+
281,"Springfield, OH Metropolitan Statistical Area",882,"1,194"
|
| 285 |
+
282,"Rapid City, SD Metropolitan Statistical Area",880,"1,329"
|
| 286 |
+
283,"Flagstaff, AZ Metropolitan Statistical Area",878,"1,270"
|
| 287 |
+
284,"Jonesboro, AR Metropolitan Statistical Area",875,"1,180"
|
| 288 |
+
285,"Sandusky, OH Metropolitan Statistical Area",875,"1,007"
|
| 289 |
+
286,"Modesto, CA Metropolitan Statistical Area",873,"4,819"
|
| 290 |
+
287,"Roseburg, OR Micropolitan Statistical Area",870,973
|
| 291 |
+
288,"Watertown-Fort Drum, NY Metropolitan Statistical Area",869,"1,009"
|
| 292 |
+
289,"Manhattan, KS Metropolitan Statistical Area",866,"1,155"
|
| 293 |
+
290,"Janesville-Beloit, WI Metropolitan Statistical Area",863,"1,415"
|
| 294 |
+
291,"Billings, MT Metropolitan Statistical Area",859,"1,608"
|
| 295 |
+
292,"Altoona, PA Metropolitan Statistical Area",858,"1,046"
|
| 296 |
+
293,"Bloomington, IN Metropolitan Statistical Area",857,"1,382"
|
| 297 |
+
294,"Fargo, ND-MN Metropolitan Statistical Area",856,"2,183"
|
| 298 |
+
295,"St. George, UT Metropolitan Statistical Area",856,"1,625"
|
| 299 |
+
296,"Battle Creek, MI Metropolitan Statistical Area",854,"1,143"
|
| 300 |
+
297,"Augusta-Waterville, ME Micropolitan Statistical Area",852,"1,070"
|
| 301 |
+
298,"Beckley, WV Metropolitan Statistical Area",851,967
|
| 302 |
+
299,"Longview-Kelso, WA Metropolitan Statistical Area",849,947
|
| 303 |
+
300,"Massena-Ogdensburg, NY Micropolitan Statistical Area",849,915
|
| 304 |
+
301,"Utica-Rome, NY Metropolitan Statistical Area",844,"2,444"
|
| 305 |
+
302,"Lancaster, PA Metropolitan Statistical Area",842,"4,675"
|
| 306 |
+
303,"Johnstown, PA Metropolitan Statistical Area",840,"1,112"
|
| 307 |
+
304,"Kingsport-Bristol, TN-VA Metropolitan Statistical Area",839,"2,598"
|
| 308 |
+
305,"Blacksburg-Christiansburg-Radford, VA Metropolitan Statistical Area",836,"1,518"
|
| 309 |
+
306,"Des Moines-West Des Moines, IA Metropolitan Statistical Area",836,"6,021"
|
| 310 |
+
307,"Fayetteville-Springdale-Rogers, AR Metropolitan Statistical Area",828,"4,668"
|
| 311 |
+
308,"Ogden, UT Metropolitan Statistical Area",825,"5,324"
|
| 312 |
+
309,"Corpus Christi, TX Metropolitan Statistical Area",823,"3,675"
|
| 313 |
+
310,"Cleveland, TN Metropolitan Statistical Area",821,"1,046"
|
| 314 |
+
311,"Houma-Bayou Cane-Thibodaux, LA Metropolitan Statistical Area",820,"1,674"
|
| 315 |
+
312,"Abilene, TX Metropolitan Statistical Area",820,"1,462"
|
| 316 |
+
313,"Muskegon-Norton Shores, MI Metropolitan Statistical Area",819,"1,437"
|
| 317 |
+
314,"Provo-Orem-Lehi, UT Metropolitan Statistical Area",819,"5,697"
|
| 318 |
+
315,"Santa Maria-Santa Barbara, CA Metropolitan Statistical Area",815,"3,619"
|
| 319 |
+
316,"Show Low, AZ Micropolitan Statistical Area",815,878
|
| 320 |
+
317,"Iowa City, IA Metropolitan Statistical Area",813,"1,443"
|
| 321 |
+
318,"Jamestown-Dunkirk, NY Micropolitan Statistical Area",811,"1,025"
|
| 322 |
+
319,"Lincoln, NE Metropolitan Statistical Area",804,"2,743"
|
| 323 |
+
320,"Cedar Rapids, IA Metropolitan Statistical Area",800,"2,209"
|
| 324 |
+
321,"Rochester, MN Metropolitan Statistical Area",800,"1,818"
|
| 325 |
+
322,"Richmond-Berea, KY Micropolitan Statistical Area",798,992
|
| 326 |
+
323,"San Angelo, TX Metropolitan Statistical Area",798,964
|
| 327 |
+
324,"Bangor, ME Metropolitan Statistical Area",796,"1,222"
|
| 328 |
+
325,"Decatur, AL Metropolitan Statistical Area",795,"1,248"
|
| 329 |
+
326,"Williamsport, PA Metropolitan Statistical Area",794,902
|
| 330 |
+
327,"Duluth, MN-WI Metropolitan Statistical Area",793,"2,226"
|
| 331 |
+
328,"Saginaw, MI Metropolitan Statistical Area",793,"1,500"
|
| 332 |
+
329,"Joplin, MO-KS Metropolitan Statistical Area",789,"1,596"
|
| 333 |
+
330,"Cookeville, TN Micropolitan Statistical Area",788,"1,134"
|
| 334 |
+
331,"State College, PA Metropolitan Statistical Area",787,"1,244"
|
| 335 |
+
332,"Merced, CA Metropolitan Statistical Area",786,"2,244"
|
| 336 |
+
333,"Staunton-Stuarts Draft, VA Metropolitan Statistical Area",777,979
|
| 337 |
+
334,"Wheeling, WV-OH Metropolitan Statistical Area",775,"1,069"
|
| 338 |
+
335,"Fond du Lac, WI Metropolitan Statistical Area",774,805
|
| 339 |
+
336,"Sioux Falls, SD-MN Metropolitan Statistical Area",773,"2,266"
|
| 340 |
+
337,"Florence-Muscle Shoals, AL Metropolitan Statistical Area",764,"1,167"
|
| 341 |
+
338,"Hermitage, PA Micropolitan Statistical Area",764,839
|
| 342 |
+
339,"Paducah, KY-IL Metropolitan Statistical Area",763,785
|
| 343 |
+
340,"Oshkosh-Neenah, WI Metropolitan Statistical Area",762,"1,306"
|
| 344 |
+
341,"Glens Falls, NY Metropolitan Statistical Area",759,960
|
| 345 |
+
342,"Morristown, TN Metropolitan Statistical Area",758,916
|
| 346 |
+
343,"Muncie, IN Metropolitan Statistical Area",758,850
|
| 347 |
+
344,"Green Bay, WI Metropolitan Statistical Area",758,"2,496"
|
| 348 |
+
345,"Kennewick-Richland, WA Metropolitan Statistical Area",756,"2,328"
|
| 349 |
+
346,"Wenatchee-East Wenatchee, WA Metropolitan Statistical Area",751,925
|
| 350 |
+
347,"Monroe, MI Metropolitan Statistical Area",746,"1,157"
|
| 351 |
+
348,"Gettysburg, PA Metropolitan Statistical Area",746,785
|
| 352 |
+
349,"Weirton-Steubenville, WV-OH Metropolitan Statistical Area",746,862
|
| 353 |
+
350,"Jefferson City, MO Metropolitan Statistical Area",741,"1,113"
|
| 354 |
+
351,"Traverse City, MI Metropolitan Statistical Area",740,"1,145"
|
| 355 |
+
352,"Salem, OH Micropolitan Statistical Area",726,735
|
| 356 |
+
353,"Appleton, WI Metropolitan Statistical Area",726,"1,773"
|
| 357 |
+
354,"Harrisonburg, VA Metropolitan Statistical Area",726,989
|
| 358 |
+
355,"Sheboygan, WI Metropolitan Statistical Area",723,851
|
| 359 |
+
356,"Visalia, CA Metropolitan Statistical Area",721,"3,432"
|
| 360 |
+
357,"Chambersburg, PA Metropolitan Statistical Area",720,"1,127"
|
| 361 |
+
358,"Lafayette-West Lafayette, IN Metropolitan Statistical Area",717,"1,613"
|
| 362 |
+
359,"St. Joseph, MO-KS Metropolitan Statistical Area",710,856
|
| 363 |
+
360,"Idaho Falls, ID Metropolitan Statistical Area",701,"1,136"
|
| 364 |
+
361,"Hanford-Corcoran, CA Metropolitan Statistical Area",694,"1,060"
|
| 365 |
+
362,"Whitewater-Elkhorn, WI Micropolitan Statistical Area",690,728
|
| 366 |
+
363,"Huntington-Ashland, WV-KY-OH Metropolitan Statistical Area",689,"2,569"
|
| 367 |
+
364,"Bowling Green, KY Metropolitan Statistical Area",686,"1,257"
|
| 368 |
+
365,"Bay City, MI Metropolitan Statistical Area",686,708
|
| 369 |
+
366,"Salinas, CA Metropolitan Statistical Area",681,"2,969"
|
| 370 |
+
367,"St. Cloud, MN Metropolitan Statistical Area",678,"1,361"
|
| 371 |
+
368,"Elkhart-Goshen, IN Metropolitan Statistical Area",674,"1,395"
|
| 372 |
+
369,"Mansfield, OH Metropolitan Statistical Area",672,841
|
| 373 |
+
370,"La Crosse-Onalaska, WI-MN Metropolitan Statistical Area",672,"1,142"
|
| 374 |
+
371,"Mankato, MN Metropolitan Statistical Area",670,695
|
| 375 |
+
372,"Fort Smith, AR-OK Metropolitan Statistical Area",665,"1,523"
|
| 376 |
+
373,"Terre Haute, IN Metropolitan Statistical Area",664,"1,121"
|
| 377 |
+
374,"Twin Falls, ID Metropolitan Statistical Area",661,773
|
| 378 |
+
375,"Logan, UT-ID Metropolitan Statistical Area",656,996
|
| 379 |
+
376,"Owensboro, KY Metropolitan Statistical Area",654,735
|
| 380 |
+
377,"Lima, OH Metropolitan Statistical Area",653,664
|
| 381 |
+
378,"Waterloo-Cedar Falls, IA Metropolitan Statistical Area",646,"1,087"
|
| 382 |
+
379,"Ames, IA Metropolitan Statistical Area",644,807
|
| 383 |
+
380,"Eau Claire, WI Metropolitan Statistical Area",641,"1,108"
|
| 384 |
+
381,"Sioux City, IA-NE-SD Metropolitan Statistical Area",621,895
|
| 385 |
+
382,"Farmington, NM Metropolitan Statistical Area",616,746
|
| 386 |
+
383,"Wausau, WI Metropolitan Statistical Area",611,844
|
| 387 |
+
384,"Wooster, OH Micropolitan Statistical Area",605,706
|
| 388 |
+
385,"Ottawa, IL Micropolitan Statistical Area",605,893
|
| 389 |
+
386,"Laredo, TX Metropolitan Statistical Area",594,"1,591"
|
| 390 |
+
387,"Bismarck, ND Metropolitan Statistical Area",594,797
|
| 391 |
+
388,"Yakima, WA Metropolitan Statistical Area",590,"1,515"
|
| 392 |
+
389,"Grand Forks, ND-MN Metropolitan Statistical Area",585,606
|
| 393 |
+
390,"Holland, MI Micropolitan Statistical Area",581,702
|
| 394 |
+
391,"McAllen-Edinburg-Mission, TX Metropolitan Statistical Area",575,"5,061"
|
| 395 |
+
392,"Dalton, GA Metropolitan Statistical Area",573,821
|
| 396 |
+
393,"Moses Lake, WA Micropolitan Statistical Area",569,571
|
| 397 |
+
394,"Brownsville-Harlingen, TX Metropolitan Statistical Area",556,"2,352"
|
| 398 |
+
395,"Corbin, KY Micropolitan Statistical Area",552,826
|
| 399 |
+
396,"El Centro, CA Metropolitan Statistical Area",523,937
|
| 400 |
+
397,"San Juan-Bayam�n-Caguas, PR Metropolitan Statistical Area",443,"9,133"
|
| 401 |
+
398,"Aguadilla, PR Metropolitan Statistical Area",287,725
|
| 402 |
+
399,"Mayag�ez, PR Metropolitan Statistical Area",246,520
|
| 403 |
+
400,"Ponce, PR Metropolitan Statistical Area",246,673
|
| 404 |
+
401,"Arecibo, PR Metropolitan Statistical Area",206,373
|
| 405 |
+
,,,
|
| 406 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population.� Reports exclude state-specific data contributor reports.",,,
|
| 407 |
+
,,,
|
| 408 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Metropolitan_Areas_Identity_Theft_Reports.csv
ADDED
|
@@ -0,0 +1,408 @@
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|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
Metropolitan Areas: Identity Theft Reports,,,
|
| 2 |
+
,,,
|
| 3 |
+
Rank,Metropolitan Area,Reports per 100K Population,# of Reports
|
| 4 |
+
1,"Miami-Fort Lauderdale-West Palm Beach, FL Metropolitan Statistical Area",903,"55,457"
|
| 5 |
+
2,"Atlanta-Sandy Springs-Roswell, GA Metropolitan Statistical Area",690,"42,616"
|
| 6 |
+
3,"Houston-Pasadena-The Woodlands, TX Metropolitan Statistical Area",573,"41,668"
|
| 7 |
+
4,"Las Vegas-Henderson-North Las Vegas, NV Metropolitan Statistical Area",570,"13,075"
|
| 8 |
+
5,"Orlando-Kissimmee-Sanford, FL Metropolitan Statistical Area",555,"15,099"
|
| 9 |
+
6,"Los Angeles-Long Beach-Anaheim, CA Metropolitan Statistical Area",550,"71,624"
|
| 10 |
+
7,"Baton Rouge, LA Metropolitan Statistical Area",528,"4,604"
|
| 11 |
+
8,"Killeen-Temple, TX Metropolitan Statistical Area",482,"2,340"
|
| 12 |
+
9,"Odessa, TX Metropolitan Statistical Area",479,782
|
| 13 |
+
10,"Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area",475,"37,114"
|
| 14 |
+
11,"Lakeland-Winter Haven, FL Metropolitan Statistical Area",473,"3,598"
|
| 15 |
+
12,"Macon-Bibb County, GA Metropolitan Statistical Area",461,"1,079"
|
| 16 |
+
13,"Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metropolitan Statistical Area",456,"28,438"
|
| 17 |
+
14,"Savannah, GA Metropolitan Statistical Area",437,"1,801"
|
| 18 |
+
15,"LaGrange, GA-AL Micropolitan Statistical Area",434,453
|
| 19 |
+
16,"New Orleans-Metairie, LA Metropolitan Statistical Area",432,"4,268"
|
| 20 |
+
17,"Tampa-St. Petersburg-Clearwater, FL Metropolitan Statistical Area",431,"13,953"
|
| 21 |
+
18,"Albany, GA Metropolitan Statistical Area",413,606
|
| 22 |
+
19,"Memphis, TN-MS-AR Metropolitan Statistical Area",410,"5,502"
|
| 23 |
+
20,"Boston-Cambridge-Newton, MA-NH Metropolitan Statistical Area",405,"19,929"
|
| 24 |
+
21,"Port St. Lucie, FL Metropolitan Statistical Area",405,"2,051"
|
| 25 |
+
22,"Chicago-Naperville-Elgin, IL-IN Metropolitan Statistical Area",401,"37,486"
|
| 26 |
+
23,"Midland, TX Metropolitan Statistical Area",400,707
|
| 27 |
+
24,"Columbus, GA-AL Metropolitan Statistical Area",399,"1,302"
|
| 28 |
+
25,"Kankakee, IL Metropolitan Statistical Area",392,419
|
| 29 |
+
26,"Montgomery, AL Metropolitan Statistical Area",387,"1,491"
|
| 30 |
+
27,"Beaumont-Port Arthur, TX Metropolitan Statistical Area",375,"1,487"
|
| 31 |
+
28,"Charlotte-Concord-Gastonia, NC-SC Metropolitan Statistical Area",374,"10,144"
|
| 32 |
+
29,"Sumter, SC Metropolitan Statistical Area",374,392
|
| 33 |
+
30,"Tallahassee, FL Metropolitan Statistical Area",365,"1,417"
|
| 34 |
+
31,"Jacksonville, FL Metropolitan Statistical Area",364,"5,986"
|
| 35 |
+
32,"East Stroudsburg, PA Micropolitan Statistical Area",362,608
|
| 36 |
+
33,"Naples-Marco Island, FL Metropolitan Statistical Area",362,"1,402"
|
| 37 |
+
34,"Detroit-Warren-Dearborn, MI Metropolitan Statistical Area",359,"15,687"
|
| 38 |
+
35,"Dover, DE Metropolitan Statistical Area",358,663
|
| 39 |
+
36,"Little Rock-North Little Rock-Conway, AR Metropolitan Statistical Area",350,"2,641"
|
| 40 |
+
37,"Cape Coral-Fort Myers, FL Metropolitan Statistical Area",344,"2,727"
|
| 41 |
+
38,"Greenville, NC Metropolitan Statistical Area",344,592
|
| 42 |
+
39,"New York-Newark-Jersey City, NY-NJ Metropolitan Statistical Area",343,"67,819"
|
| 43 |
+
40,"Shreveport-Bossier City, LA Metropolitan Statistical Area",343,"1,334"
|
| 44 |
+
41,"Warner Robins, GA Metropolitan Statistical Area",343,669
|
| 45 |
+
42,"Riverside-San Bernardino-Ontario, CA Metropolitan Statistical Area",343,"15,889"
|
| 46 |
+
43,"Augusta-Richmond County, GA-SC Metropolitan Statistical Area",342,"2,113"
|
| 47 |
+
44,"Charleston-North Charleston, SC Metropolitan Statistical Area",341,"2,790"
|
| 48 |
+
45,"Phoenix-Mesa-Chandler, AZ Metropolitan Statistical Area",338,"16,677"
|
| 49 |
+
46,"Birmingham, AL Metropolitan Statistical Area",336,"3,968"
|
| 50 |
+
47,"Columbia, SC Metropolitan Statistical Area",328,"2,758"
|
| 51 |
+
48,"Mobile, AL Metropolitan Statistical Area",328,"1,355"
|
| 52 |
+
49,"Tuscaloosa, AL Metropolitan Statistical Area",328,902
|
| 53 |
+
50,"Cleveland, OH Metropolitan Statistical Area",328,"7,115"
|
| 54 |
+
51,"Fayetteville, NC Metropolitan Statistical Area",325,"1,268"
|
| 55 |
+
52,"Providence-Warwick, RI-MA Metropolitan Statistical Area",324,"5,422"
|
| 56 |
+
53,"Florence, SC Metropolitan Statistical Area",321,640
|
| 57 |
+
54,"North Port-Bradenton-Sarasota, FL Metropolitan Statistical Area",320,"2,770"
|
| 58 |
+
55,"Austin-Round Rock-San Marcos, TX Metropolitan Statistical Area",317,"7,473"
|
| 59 |
+
56,"Columbus, OH Metropolitan Statistical Area",316,"6,805"
|
| 60 |
+
57,"Sebastian-Vero Beach-West Vero Corridor, FL Metropolitan Statistical Area",316,518
|
| 61 |
+
58,"Baltimore-Columbia-Towson, MD Metropolitan Statistical Area",315,"8,940"
|
| 62 |
+
59,"Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area",314,"19,689"
|
| 63 |
+
60,"San Diego-Chula Vista-Carlsbad, CA Metropolitan Statistical Area",313,"10,260"
|
| 64 |
+
61,"Indianapolis-Carmel-Greenwood, IN Metropolitan Statistical Area",312,"6,570"
|
| 65 |
+
62,"Lumberton, NC Micropolitan Statistical Area",309,361
|
| 66 |
+
63,"Jackson, MS Metropolitan Statistical Area",304,"1,873"
|
| 67 |
+
64,"Springfield, MA Metropolitan Statistical Area",302,"1,400"
|
| 68 |
+
65,"San Antonio-New Braunfels, TX Metropolitan Statistical Area",302,"7,889"
|
| 69 |
+
66,"Palm Bay-Melbourne-Titusville, FL Metropolitan Statistical Area",298,"1,847"
|
| 70 |
+
67,"Worcester, MA Metropolitan Statistical Area",297,"2,561"
|
| 71 |
+
68,"Hammond, LA Metropolitan Statistical Area",297,401
|
| 72 |
+
69,"Panama City-Panama City Beach, FL Metropolitan Statistical Area",293,606
|
| 73 |
+
70,"Valdosta, GA Metropolitan Statistical Area",293,437
|
| 74 |
+
71,"Scranton--Wilkes-Barre, PA Metropolitan Statistical Area",290,"1,648"
|
| 75 |
+
72,"Trenton-Princeton, NJ Metropolitan Statistical Area",290,"1,112"
|
| 76 |
+
73,"Deltona-Daytona Beach-Ormond Beach, FL Metropolitan Statistical Area",290,"1,998"
|
| 77 |
+
74,"Huntsville, AL Metropolitan Statistical Area",289,"1,459"
|
| 78 |
+
75,"Rockford, IL Metropolitan Statistical Area",288,968
|
| 79 |
+
76,"Raleigh-Cary, NC Metropolitan Statistical Area",286,"4,150"
|
| 80 |
+
77,"Ocala, FL Metropolitan Statistical Area",286,"1,108"
|
| 81 |
+
78,"Monroe, LA Metropolitan Statistical Area",285,640
|
| 82 |
+
79,"Lafayette, LA Metropolitan Statistical Area",284,"1,168"
|
| 83 |
+
80,"Vallejo, CA Metropolitan Statistical Area",283,"1,278"
|
| 84 |
+
81,"Slidell-Mandeville-Covington, LA Metropolitan Statistical Area",281,757
|
| 85 |
+
82,"Kiryas Joel-Poughkeepsie-Newburgh, NY Metropolitan Statistical Area",279,"1,959"
|
| 86 |
+
83,"Allentown-Bethlehem-Easton, PA-NJ Metropolitan Statistical Area",279,"2,414"
|
| 87 |
+
84,"Bakersfield-Delano, CA Metropolitan Statistical Area",277,"2,525"
|
| 88 |
+
85,"Fresno, CA Metropolitan Statistical Area",276,"3,235"
|
| 89 |
+
86,"Richmond, VA Metropolitan Statistical Area",274,"3,637"
|
| 90 |
+
87,"Bridgeport-Stamford-Danbury, CT Metropolitan Statistical Area",271,"2,571"
|
| 91 |
+
88,"Anderson Creek, NC Micropolitan Statistical Area",270,368
|
| 92 |
+
89,"Sacramento-Roseville-Folsom, CA Metropolitan Statistical Area",269,"6,483"
|
| 93 |
+
90,"Reading, PA Metropolitan Statistical Area",268,"1,151"
|
| 94 |
+
91,"Greenville-Anderson-Greer, SC Metropolitan Statistical Area",267,"2,525"
|
| 95 |
+
92,"Spartanburg, SC Metropolitan Statistical Area",266,972
|
| 96 |
+
93,"Rocky Mount, NC Metropolitan Statistical Area",265,382
|
| 97 |
+
94,"Virginia Beach-Chesapeake-Norfolk, VA-NC Metropolitan Statistical Area",263,"4,689"
|
| 98 |
+
95,"Stockton-Lodi, CA Metropolitan Statistical Area",260,"2,048"
|
| 99 |
+
96,"Champaign-Urbana, IL Metropolitan Statistical Area",259,611
|
| 100 |
+
97,"St. Louis, MO-IL Metropolitan Statistical Area",258,"7,242"
|
| 101 |
+
98,"Myrtle Beach-Conway-North Myrtle Beach, SC Metropolitan Statistical Area",256,944
|
| 102 |
+
99,"Wichita Falls, TX Metropolitan Statistical Area",252,375
|
| 103 |
+
100,"San Francisco-Oakland-Fremont, CA Metropolitan Statistical Area",250,"11,641"
|
| 104 |
+
101,"Longview, TX Metropolitan Statistical Area",250,722
|
| 105 |
+
102,"New Haven, CT Metropolitan Statistical Area",249,"1,414"
|
| 106 |
+
103,"Visalia, CA Metropolitan Statistical Area",249,"1,186"
|
| 107 |
+
104,"Milwaukee-Waukesha, WI Metropolitan Statistical Area",248,"3,882"
|
| 108 |
+
105,"Akron, OH Metropolitan Statistical Area",246,"1,720"
|
| 109 |
+
106,"Rochester, NY Metropolitan Statistical Area",244,"2,586"
|
| 110 |
+
107,"Dayton-Kettering-Beavercreek, OH Metropolitan Statistical Area",244,"1,984"
|
| 111 |
+
108,"Greensboro-High Point, NC Metropolitan Statistical Area",241,"1,880"
|
| 112 |
+
109,"Vineland, NJ Metropolitan Statistical Area",240,367
|
| 113 |
+
110,"Barnstable Town, MA Metropolitan Statistical Area",239,550
|
| 114 |
+
111,"Amherst Town-Northampton, MA Metropolitan Statistical Area",238,372
|
| 115 |
+
112,"Denver-Aurora-Centennial, CO Metropolitan Statistical Area",237,"7,056"
|
| 116 |
+
113,"Atlantic City-Hammonton, NJ Metropolitan Statistical Area",236,872
|
| 117 |
+
114,"Waterbury-Shelton, CT Metropolitan Statistical Area",235,"1,061"
|
| 118 |
+
115,"Waco, TX Metropolitan Statistical Area",234,701
|
| 119 |
+
116,"Punta Gorda, FL Metropolitan Statistical Area",232,452
|
| 120 |
+
117,"Flint, MI Metropolitan Statistical Area",231,932
|
| 121 |
+
118,"Auburn-Opelika, AL Metropolitan Statistical Area",229,451
|
| 122 |
+
119,"San Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Area",229,"4,515"
|
| 123 |
+
120,"Tyler, TX Metropolitan Statistical Area",229,544
|
| 124 |
+
121,"Hartford-West Hartford-East Hartford, CT Metropolitan Statistical Area",228,"2,613"
|
| 125 |
+
122,"Anniston-Oxford, AL Metropolitan Statistical Area",227,264
|
| 126 |
+
123,"Gainesville, FL Metropolitan Statistical Area",227,783
|
| 127 |
+
124,"Durham-Chapel Hill, NC Metropolitan Statistical Area",227,"1,348"
|
| 128 |
+
125,"Sebring, FL Metropolitan Statistical Area",226,235
|
| 129 |
+
126,"Pensacola-Ferry Pass-Brent, FL Metropolitan Statistical Area",226,"1,166"
|
| 130 |
+
127,"Gulfport-Biloxi, MS Metropolitan Statistical Area",225,940
|
| 131 |
+
128,"El Paso, TX Metropolitan Statistical Area",224,"1,950"
|
| 132 |
+
129,"Colorado Springs, CO Metropolitan Statistical Area",222,"1,692"
|
| 133 |
+
130,"Clarksville, TN-KY Metropolitan Statistical Area",222,730
|
| 134 |
+
131,"Springfield, OH Metropolitan Statistical Area",221,300
|
| 135 |
+
132,"Springfield, IL Metropolitan Statistical Area",219,455
|
| 136 |
+
133,"Oxnard-Thousand Oaks-Ventura, CA Metropolitan Statistical Area",219,"1,837"
|
| 137 |
+
134,"Nashville-Davidson--Murfreesboro--Franklin, TN Metropolitan Statistical Area",219,"4,470"
|
| 138 |
+
135,"Shelby-Kings Mountain, NC Micropolitan Statistical Area",218,218
|
| 139 |
+
136,"Lubbock, TX Metropolitan Statistical Area",216,768
|
| 140 |
+
137,"Corpus Christi, TX Metropolitan Statistical Area",216,967
|
| 141 |
+
138,"Texarkana, TX-AR Metropolitan Statistical Area",216,317
|
| 142 |
+
139,"Goldsboro, NC Metropolitan Statistical Area",213,251
|
| 143 |
+
140,"Sherman-Denison, TX Metropolitan Statistical Area",213,298
|
| 144 |
+
141,"McAllen-Edinburg-Mission, TX Metropolitan Statistical Area",212,"1,867"
|
| 145 |
+
142,"Seaford, DE Micropolitan Statistical Area",212,525
|
| 146 |
+
143,"Houma-Bayou Cane-Thibodaux, LA Metropolitan Statistical Area",211,430
|
| 147 |
+
144,"Ann Arbor, MI Metropolitan Statistical Area",209,771
|
| 148 |
+
145,"Dothan, AL Metropolitan Statistical Area",207,314
|
| 149 |
+
146,"Harrisburg-Carlisle, PA Metropolitan Statistical Area",207,"1,236"
|
| 150 |
+
147,"Boulder, CO Metropolitan Statistical Area",206,677
|
| 151 |
+
148,"Oklahoma City, OK Metropolitan Statistical Area",205,"2,968"
|
| 152 |
+
149,"Lake Charles, LA Metropolitan Statistical Area",205,505
|
| 153 |
+
150,"Lexington Park, MD Metropolitan Statistical Area",205,427
|
| 154 |
+
151,"Brownsville-Harlingen, TX Metropolitan Statistical Area",205,868
|
| 155 |
+
152,"Tucson, AZ Metropolitan Statistical Area",204,"2,146"
|
| 156 |
+
153,"Youngstown-Warren, OH Metropolitan Statistical Area",202,865
|
| 157 |
+
154,"Hilton Head Island-Bluffton-Port Royal, SC Metropolitan Statistical Area",201,448
|
| 158 |
+
155,"Chattanooga, TN-GA Metropolitan Statistical Area",199,"1,135"
|
| 159 |
+
156,"Crestview-Fort Walton Beach-Destin, FL Metropolitan Statistical Area",199,586
|
| 160 |
+
157,"Cincinnati, OH-KY-IN Metropolitan Statistical Area",199,"4,477"
|
| 161 |
+
158,"Amarillo, TX Metropolitan Statistical Area",198,535
|
| 162 |
+
159,"Asheville, NC Metropolitan Statistical Area",198,813
|
| 163 |
+
160,"Hanford-Corcoran, CA Metropolitan Statistical Area",197,301
|
| 164 |
+
161,"Sandusky, OH Metropolitan Statistical Area",196,226
|
| 165 |
+
162,"St. George, UT Metropolitan Statistical Area",196,372
|
| 166 |
+
163,"Modesto, CA Metropolitan Statistical Area",196,"1,082"
|
| 167 |
+
164,"Hattiesburg, MS Metropolitan Statistical Area",195,302
|
| 168 |
+
165,"Jonesboro, AR Metropolitan Statistical Area",195,263
|
| 169 |
+
166,"Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area",195,"7,838"
|
| 170 |
+
167,"York-Hanover, PA Metropolitan Statistical Area",195,895
|
| 171 |
+
168,"Louisville/Jefferson County, KY-IN Metropolitan Statistical Area",195,"2,653"
|
| 172 |
+
169,"Daphne-Fairhope-Foley, AL Metropolitan Statistical Area",195,467
|
| 173 |
+
170,"San Angelo, TX Metropolitan Statistical Area",194,235
|
| 174 |
+
171,"Wilmington, NC Metropolitan Statistical Area",194,855
|
| 175 |
+
172,"Buffalo-Cheektowaga, NY Metropolitan Statistical Area",194,"2,253"
|
| 176 |
+
173,"Las Cruces, NM Metropolitan Statistical Area",194,430
|
| 177 |
+
174,"Toledo, OH Metropolitan Statistical Area",193,"1,163"
|
| 178 |
+
175,"Kansas City, MO-KS Metropolitan Statistical Area",193,"4,247"
|
| 179 |
+
176,"Pittsfield, MA Metropolitan Statistical Area",192,246
|
| 180 |
+
177,"Reno, NV Metropolitan Statistical Area",192,"1,069"
|
| 181 |
+
178,"Alexandria, LA Metropolitan Statistical Area",192,289
|
| 182 |
+
179,"Albany-Schenectady-Troy, NY Metropolitan Statistical Area",190,"1,719"
|
| 183 |
+
180,"Brunswick-St. Simons, GA Metropolitan Statistical Area",190,217
|
| 184 |
+
181,"Tulsa, OK Metropolitan Statistical Area",189,"1,935"
|
| 185 |
+
182,"Greeley, CO Metropolitan Statistical Area",188,641
|
| 186 |
+
183,"Winston-Salem, NC Metropolitan Statistical Area",187,"1,279"
|
| 187 |
+
184,"Pittsburgh, PA Metropolitan Statistical Area",187,"4,571"
|
| 188 |
+
185,"Bloomington, IL Metropolitan Statistical Area",186,318
|
| 189 |
+
186,"Salisbury, MD Metropolitan Statistical Area",186,239
|
| 190 |
+
187,"Lexington-Fayette, KY Metropolitan Statistical Area",186,960
|
| 191 |
+
188,"Gainesville, GA Metropolitan Statistical Area",184,384
|
| 192 |
+
189,"Burlington, NC Metropolitan Statistical Area",184,320
|
| 193 |
+
190,"Abilene, TX Metropolitan Statistical Area",183,327
|
| 194 |
+
191,"Homosassa Springs, FL Metropolitan Statistical Area",183,290
|
| 195 |
+
192,"Chico, CA Metropolitan Statistical Area",182,382
|
| 196 |
+
193,"Kalamazoo-Portage, MI Metropolitan Statistical Area",181,474
|
| 197 |
+
194,"Decatur, IL Metropolitan Statistical Area",181,186
|
| 198 |
+
195,"Portland-Vancouver-Hillsboro, OR-WA Metropolitan Statistical Area",181,"4,548"
|
| 199 |
+
196,"Canton-Massillon, OH Metropolitan Statistical Area",181,723
|
| 200 |
+
197,"Spokane-Spokane Valley, WA Metropolitan Statistical Area",180,"1,063"
|
| 201 |
+
198,"College Station-Bryan, TX Metropolitan Statistical Area",179,490
|
| 202 |
+
199,"Paducah, KY-IL Metropolitan Statistical Area",179,184
|
| 203 |
+
200,"Topeka, KS Metropolitan Statistical Area",179,416
|
| 204 |
+
201,"Tupelo, MS Micropolitan Statistical Area",179,236
|
| 205 |
+
202,"Norwich-New London-Willimantic, CT Metropolitan Statistical Area",178,498
|
| 206 |
+
203,"Bozeman, MT Metropolitan Statistical Area",178,217
|
| 207 |
+
204,"Olympia-Lacey-Tumwater, WA Metropolitan Statistical Area",177,525
|
| 208 |
+
205,"Lawton, OK Metropolitan Statistical Area",177,225
|
| 209 |
+
206,"Athens-Clarke County, GA Metropolitan Statistical Area",177,386
|
| 210 |
+
207,"Prescott Valley-Prescott, AZ Metropolitan Statistical Area",177,427
|
| 211 |
+
208,"Pueblo, CO Metropolitan Statistical Area",177,298
|
| 212 |
+
209,"Pottsville, PA Micropolitan Statistical Area",177,253
|
| 213 |
+
210,"Sierra Vista-Douglas, AZ Metropolitan Statistical Area",176,221
|
| 214 |
+
211,"Manhattan, KS Metropolitan Statistical Area",176,235
|
| 215 |
+
212,"Kingston, NY Metropolitan Statistical Area",176,320
|
| 216 |
+
213,"Gadsden, AL Metropolitan Statistical Area",175,181
|
| 217 |
+
214,"Salt Lake City-Murray, UT Metropolitan Statistical Area",175,"2,212"
|
| 218 |
+
215,"Jackson, TN Metropolitan Statistical Area",174,314
|
| 219 |
+
216,"Torrington, CT Micropolitan Statistical Area",172,194
|
| 220 |
+
217,"Hot Springs, AR Metropolitan Statistical Area",172,172
|
| 221 |
+
218,"Wildwood-The Villages, FL Metropolitan Statistical Area",172,236
|
| 222 |
+
219,"Albuquerque, NM Metropolitan Statistical Area",170,"1,563"
|
| 223 |
+
220,"Lebanon, PA Metropolitan Statistical Area",169,243
|
| 224 |
+
221,"Merced, CA Metropolitan Statistical Area",169,482
|
| 225 |
+
222,"Hagerstown-Martinsburg, MD-WV Metropolitan Statistical Area",168,502
|
| 226 |
+
223,"Yuba City, CA Metropolitan Statistical Area",168,306
|
| 227 |
+
224,"Wichita, KS Metropolitan Statistical Area",167,"1,085"
|
| 228 |
+
225,"Sunbury, PA Micropolitan Statistical Area",167,182
|
| 229 |
+
226,"Manchester-Nashua, NH Metropolitan Statistical Area",167,709
|
| 230 |
+
227,"Muskegon-Norton Shores, MI Metropolitan Statistical Area",166,291
|
| 231 |
+
228,"Decatur, AL Metropolitan Statistical Area",166,260
|
| 232 |
+
229,"Laredo, TX Metropolitan Statistical Area",165,442
|
| 233 |
+
230,"Redding, CA Metropolitan Statistical Area",165,299
|
| 234 |
+
231,"Madison, WI Metropolitan Statistical Area",164,"1,123"
|
| 235 |
+
232,"Lynchburg, VA Metropolitan Statistical Area",163,429
|
| 236 |
+
233,"Erie, PA Metropolitan Statistical Area",162,438
|
| 237 |
+
234,"Omaha, NE-IA Metropolitan Statistical Area",162,"1,580"
|
| 238 |
+
235,"Davenport-Moline-Rock Island, IA-IL Metropolitan Statistical Area",162,620
|
| 239 |
+
236,"Fort Wayne, IN Metropolitan Statistical Area",162,732
|
| 240 |
+
237,"Fort Collins-Loveland, CO Metropolitan Statistical Area",162,588
|
| 241 |
+
238,"Jacksonville, NC Metropolitan Statistical Area",161,336
|
| 242 |
+
239,"Morristown, TN Metropolitan Statistical Area",161,194
|
| 243 |
+
240,"New Bern, NC Micropolitan Statistical Area",160,196
|
| 244 |
+
241,"Des Moines-West Des Moines, IA Metropolitan Statistical Area",159,"1,147"
|
| 245 |
+
242,"Lawrence, KS Metropolitan Statistical Area",159,190
|
| 246 |
+
243,"Eugene-Springfield, OR Metropolitan Statistical Area",158,605
|
| 247 |
+
244,"Syracuse, NY Metropolitan Statistical Area",158,"1,038"
|
| 248 |
+
245,"Cleveland, TN Metropolitan Statistical Area",158,201
|
| 249 |
+
246,"Pinehurst-Southern Pines, NC Metropolitan Statistical Area",158,162
|
| 250 |
+
247,"Napa, CA Metropolitan Statistical Area",157,214
|
| 251 |
+
248,"Niles, MI Metropolitan Statistical Area",156,240
|
| 252 |
+
249,"Peoria, IL Metropolitan Statistical Area",156,572
|
| 253 |
+
250,"Racine-Mount Pleasant, WI Metropolitan Statistical Area",155,306
|
| 254 |
+
251,"Binghamton, NY Metropolitan Statistical Area",155,382
|
| 255 |
+
252,"Roanoke, VA Metropolitan Statistical Area",155,488
|
| 256 |
+
253,"Medford, OR Metropolitan Statistical Area",155,345
|
| 257 |
+
254,"Charleston, WV Metropolitan Statistical Area",155,321
|
| 258 |
+
255,"Lake Havasu City-Kingman, AZ Metropolitan Statistical Area",154,335
|
| 259 |
+
256,"Bellingham, WA Metropolitan Statistical Area",153,350
|
| 260 |
+
257,"Kalispell, MT Micropolitan Statistical Area",153,166
|
| 261 |
+
258,"Knoxville, TN Metropolitan Statistical Area",153,"1,407"
|
| 262 |
+
259,"Santa Maria-Santa Barbara, CA Metropolitan Statistical Area",152,677
|
| 263 |
+
260,"Watertown-Fort Drum, NY Metropolitan Statistical Area",152,176
|
| 264 |
+
261,"Grand Rapids-Wyoming-Kentwood, MI Metropolitan Statistical Area",151,"1,742"
|
| 265 |
+
262,"Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area",150,"5,552"
|
| 266 |
+
263,"Salem, OR Metropolitan Statistical Area",150,653
|
| 267 |
+
264,"Lansing-East Lansing, MI Metropolitan Statistical Area",150,706
|
| 268 |
+
265,"St. Joseph, MO-KS Metropolitan Statistical Area",150,181
|
| 269 |
+
266,"Provo-Orem-Lehi, UT Metropolitan Statistical Area",150,"1,042"
|
| 270 |
+
267,"Idaho Falls, ID Metropolitan Statistical Area",149,242
|
| 271 |
+
268,"Utica-Rome, NY Metropolitan Statistical Area",149,432
|
| 272 |
+
269,"Billings, MT Metropolitan Statistical Area",149,279
|
| 273 |
+
270,"Yuma, AZ Metropolitan Statistical Area",149,309
|
| 274 |
+
271,"Grand Junction, CO Metropolitan Statistical Area",149,234
|
| 275 |
+
272,"Danville, VA Micropolitan Statistical Area",148,152
|
| 276 |
+
273,"Kenosha, WI Metropolitan Statistical Area",148,250
|
| 277 |
+
274,"Boise City, ID Metropolitan Statistical Area",148,"1,173"
|
| 278 |
+
275,"Fargo, ND-MN Metropolitan Statistical Area",148,378
|
| 279 |
+
276,"Michigan City-La Porte, IN Metropolitan Statistical Area",148,166
|
| 280 |
+
277,"Saginaw, MI Metropolitan Statistical Area",148,280
|
| 281 |
+
278,"Janesville-Beloit, WI Metropolitan Statistical Area",148,242
|
| 282 |
+
279,"Bend, OR Metropolitan Statistical Area",147,374
|
| 283 |
+
280,"Evansville, IN Metropolitan Statistical Area",147,397
|
| 284 |
+
281,"South Bend-Mishawaka, IN-MI Metropolitan Statistical Area",147,475
|
| 285 |
+
282,"Battle Creek, MI Metropolitan Statistical Area",146,196
|
| 286 |
+
283,"Florence-Muscle Shoals, AL Metropolitan Statistical Area",146,223
|
| 287 |
+
284,"Springfield, MO Metropolitan Statistical Area",146,703
|
| 288 |
+
285,"Kahului-Wailuku, HI Metropolitan Statistical Area",146,240
|
| 289 |
+
286,"Williamsport, PA Metropolitan Statistical Area",145,165
|
| 290 |
+
287,"Lancaster, PA Metropolitan Statistical Area",145,805
|
| 291 |
+
288,"Hickory-Lenoir-Morganton, NC Metropolitan Statistical Area",145,532
|
| 292 |
+
289,"Santa Cruz-Watsonville, CA Metropolitan Statistical Area",145,385
|
| 293 |
+
290,"Portland-South Portland, ME Metropolitan Statistical Area",145,806
|
| 294 |
+
291,"Iowa City, IA Metropolitan Statistical Area",144,255
|
| 295 |
+
292,"Elizabethtown, KY Metropolitan Statistical Area",143,181
|
| 296 |
+
293,"Urban Honolulu, HI Metropolitan Statistical Area",143,"1,433"
|
| 297 |
+
294,"Flagstaff, AZ Metropolitan Statistical Area",142,206
|
| 298 |
+
295,"Albany, OR Metropolitan Statistical Area",142,184
|
| 299 |
+
296,"Fayetteville-Springdale-Rogers, AR Metropolitan Statistical Area",141,796
|
| 300 |
+
297,"Cedar Rapids, IA Metropolitan Statistical Area",141,388
|
| 301 |
+
298,"Santa Rosa-Petaluma, CA Metropolitan Statistical Area",140,681
|
| 302 |
+
299,"Cheyenne, WY Metropolitan Statistical Area",139,140
|
| 303 |
+
300,"Ogden, UT Metropolitan Statistical Area",139,895
|
| 304 |
+
301,"Columbia, MO Metropolitan Statistical Area",139,295
|
| 305 |
+
302,"Salem, OH Micropolitan Statistical Area",136,138
|
| 306 |
+
303,"Charlottesville, VA Metropolitan Statistical Area",135,300
|
| 307 |
+
304,"Missoula, MT Metropolitan Statistical Area",134,167
|
| 308 |
+
305,"Monroe, MI Metropolitan Statistical Area",134,208
|
| 309 |
+
306,"Bremerton-Silverdale-Port Orchard, WA Metropolitan Statistical Area",134,370
|
| 310 |
+
307,"Eureka-Arcata, CA Micropolitan Statistical Area",133,180
|
| 311 |
+
308,"Truckee-Grass Valley, CA Micropolitan Statistical Area",133,136
|
| 312 |
+
309,"Winchester, VA-WV Metropolitan Statistical Area",132,191
|
| 313 |
+
310,"Fort Smith, AR-OK Metropolitan Statistical Area",132,302
|
| 314 |
+
311,"San Luis Obispo-Paso Robles, CA Metropolitan Statistical Area",131,370
|
| 315 |
+
312,"Mansfield, OH Metropolitan Statistical Area",131,164
|
| 316 |
+
313,"Show Low, AZ Micropolitan Statistical Area",131,141
|
| 317 |
+
314,"Johnstown, PA Metropolitan Statistical Area",129,171
|
| 318 |
+
315,"El Centro, CA Metropolitan Statistical Area",129,231
|
| 319 |
+
316,"Jackson, MI Metropolitan Statistical Area",129,206
|
| 320 |
+
317,"Hermitage, PA Micropolitan Statistical Area",128,141
|
| 321 |
+
318,"Concord, NH Micropolitan Statistical Area",128,198
|
| 322 |
+
319,"Salinas, CA Metropolitan Statistical Area",127,555
|
| 323 |
+
320,"Bloomington, IN Metropolitan Statistical Area",127,205
|
| 324 |
+
321,"Coeur d'Alene, ID Metropolitan Statistical Area",126,224
|
| 325 |
+
322,"Kennewick-Richland, WA Metropolitan Statistical Area",125,385
|
| 326 |
+
323,"Jamestown-Dunkirk, NY Micropolitan Statistical Area",124,157
|
| 327 |
+
324,"Lincoln, NE Metropolitan Statistical Area",124,423
|
| 328 |
+
325,"Lewiston-Auburn, ME Metropolitan Statistical Area",124,139
|
| 329 |
+
326,"Santa Fe, NM Metropolitan Statistical Area",124,192
|
| 330 |
+
327,"Dalton, GA Metropolitan Statistical Area",123,176
|
| 331 |
+
328,"Lafayette-West Lafayette, IN Metropolitan Statistical Area",122,275
|
| 332 |
+
329,"Lima, OH Metropolitan Statistical Area",122,124
|
| 333 |
+
330,"Longview-Kelso, WA Metropolitan Statistical Area",121,135
|
| 334 |
+
331,"Oshkosh-Neenah, WI Metropolitan Statistical Area",121,207
|
| 335 |
+
332,"Terre Haute, IN Metropolitan Statistical Area",120,203
|
| 336 |
+
333,"Johnson City, TN Metropolitan Statistical Area",120,251
|
| 337 |
+
334,"Sioux Falls, SD-MN Metropolitan Statistical Area",120,352
|
| 338 |
+
335,"Muncie, IN Metropolitan Statistical Area",120,134
|
| 339 |
+
336,"Joplin, MO-KS Metropolitan Statistical Area",119,240
|
| 340 |
+
337,"Chambersburg, PA Metropolitan Statistical Area",118,185
|
| 341 |
+
338,"Augusta-Waterville, ME Micropolitan Statistical Area",117,147
|
| 342 |
+
339,"Richmond-Berea, KY Micropolitan Statistical Area",117,145
|
| 343 |
+
340,"Anchorage, AK Metropolitan Statistical Area",116,464
|
| 344 |
+
341,"Staunton-Stuarts Draft, VA Metropolitan Statistical Area",116,146
|
| 345 |
+
342,"Ottawa, IL Micropolitan Statistical Area",116,171
|
| 346 |
+
343,"Bowling Green, KY Metropolitan Statistical Area",116,212
|
| 347 |
+
344,"Ithaca, NY Metropolitan Statistical Area",116,119
|
| 348 |
+
345,"Bay City, MI Metropolitan Statistical Area",115,119
|
| 349 |
+
346,"Traverse City, MI Metropolitan Statistical Area",115,178
|
| 350 |
+
347,"Cookeville, TN Micropolitan Statistical Area",115,165
|
| 351 |
+
348,"Bismarck, ND Metropolitan Statistical Area",114,153
|
| 352 |
+
349,"Burlington-South Burlington, VT Metropolitan Statistical Area",114,258
|
| 353 |
+
350,"Harrisonburg, VA Metropolitan Statistical Area",114,155
|
| 354 |
+
351,"Bangor, ME Metropolitan Statistical Area",113,174
|
| 355 |
+
352,"Gettysburg, PA Metropolitan Statistical Area",113,119
|
| 356 |
+
353,"Appleton, WI Metropolitan Statistical Area",113,276
|
| 357 |
+
354,"Weirton-Steubenville, WV-OH Metropolitan Statistical Area",112,130
|
| 358 |
+
355,"Hilo-Kailua, HI Micropolitan Statistical Area",112,229
|
| 359 |
+
356,"Mount Vernon-Anacortes, WA Metropolitan Statistical Area",112,146
|
| 360 |
+
357,"Whitewater-Elkhorn, WI Micropolitan Statistical Area",112,118
|
| 361 |
+
358,"Roseburg, OR Micropolitan Statistical Area",111,124
|
| 362 |
+
359,"Logan, UT-ID Metropolitan Statistical Area",111,168
|
| 363 |
+
360,"Kingsport-Bristol, TN-VA Metropolitan Statistical Area",110,342
|
| 364 |
+
361,"Twin Falls, ID Metropolitan Statistical Area",110,129
|
| 365 |
+
362,"Elkhart-Goshen, IN Metropolitan Statistical Area",110,228
|
| 366 |
+
363,"Ames, IA Metropolitan Statistical Area",110,138
|
| 367 |
+
364,"Rapid City, SD Metropolitan Statistical Area",110,166
|
| 368 |
+
365,"Corbin, KY Micropolitan Statistical Area",110,164
|
| 369 |
+
366,"Moses Lake, WA Micropolitan Statistical Area",110,110
|
| 370 |
+
367,"Wooster, OH Micropolitan Statistical Area",109,127
|
| 371 |
+
368,"State College, PA Metropolitan Statistical Area",109,172
|
| 372 |
+
369,"Waterloo-Cedar Falls, IA Metropolitan Statistical Area",109,183
|
| 373 |
+
370,"Huntington-Ashland, WV-KY-OH Metropolitan Statistical Area",109,405
|
| 374 |
+
371,"Lebanon-Claremont, NH-VT Micropolitan Statistical Area",109,242
|
| 375 |
+
372,"Beckley, WV Metropolitan Statistical Area",108,123
|
| 376 |
+
373,"Wenatchee-East Wenatchee, WA Metropolitan Statistical Area",107,132
|
| 377 |
+
374,"Owensboro, KY Metropolitan Statistical Area",107,120
|
| 378 |
+
375,"Green Bay, WI Metropolitan Statistical Area",106,350
|
| 379 |
+
376,"Glens Falls, NY Metropolitan Statistical Area",104,132
|
| 380 |
+
377,"Rochester, MN Metropolitan Statistical Area",103,233
|
| 381 |
+
378,"Morgantown, WV Metropolitan Statistical Area",102,143
|
| 382 |
+
379,"Jefferson City, MO Metropolitan Statistical Area",101,152
|
| 383 |
+
380,"Sheboygan, WI Metropolitan Statistical Area",100,118
|
| 384 |
+
381,"Mankato, MN Metropolitan Statistical Area",99,103
|
| 385 |
+
382,"Fond du Lac, WI Metropolitan Statistical Area",99,103
|
| 386 |
+
383,"Yakima, WA Metropolitan Statistical Area",97,249
|
| 387 |
+
384,"Grand Forks, ND-MN Metropolitan Statistical Area",96,100
|
| 388 |
+
385,"Duluth, MN-WI Metropolitan Statistical Area",96,269
|
| 389 |
+
386,"Wheeling, WV-OH Metropolitan Statistical Area",95,131
|
| 390 |
+
387,"Massena-Ogdensburg, NY Micropolitan Statistical Area",93,100
|
| 391 |
+
388,"Eau Claire, WI Metropolitan Statistical Area",92,159
|
| 392 |
+
389,"Sioux City, IA-NE-SD Metropolitan Statistical Area",92,132
|
| 393 |
+
390,"Farmington, NM Metropolitan Statistical Area",90,109
|
| 394 |
+
391,"La Crosse-Onalaska, WI-MN Metropolitan Statistical Area",89,152
|
| 395 |
+
392,"St. Cloud, MN Metropolitan Statistical Area",89,178
|
| 396 |
+
393,"Altoona, PA Metropolitan Statistical Area",88,107
|
| 397 |
+
394,"Blacksburg-Christiansburg-Radford, VA Metropolitan Statistical Area",85,155
|
| 398 |
+
395,"Wausau, WI Metropolitan Statistical Area",79,109
|
| 399 |
+
396,"Holland, MI Micropolitan Statistical Area",79,95
|
| 400 |
+
397,"Ponce, PR Metropolitan Statistical Area",71,193
|
| 401 |
+
398,"San Juan-Bayam�n-Caguas, PR Metropolitan Statistical Area",50,"1,042"
|
| 402 |
+
399,"Aguadilla, PR Metropolitan Statistical Area",48,122
|
| 403 |
+
400,"Arecibo, PR Metropolitan Statistical Area",46,83
|
| 404 |
+
401,"Mayag�ez, PR Metropolitan Statistical Area",36,76
|
| 405 |
+
,,,
|
| 406 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population.",,,
|
| 407 |
+
,,,
|
| 408 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Military_Consumer_Identity_Theft_Reports_by_Type.csv
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Military Consumer Identity Theft Reports by Type,,,
|
| 2 |
+
,,,
|
| 3 |
+
Theft Type,Theft Subtype,# of Reports,% Difference from Previous Year
|
| 4 |
+
Bank Account,"Debit Cards, Electronic Funds Transfer, or ACH","3,526",5%
|
| 5 |
+
Bank Account,Existing Accounts,867,-8%
|
| 6 |
+
Bank Account,New Accounts,"3,743",-27%
|
| 7 |
+
Credit Card,Existing Accounts ,"3,365",8%
|
| 8 |
+
Credit Card,New Accounts ,"11,462",-7%
|
| 9 |
+
Employment or Tax-Related,Employment or Wage-Related Fraud,"1,154",36%
|
| 10 |
+
Employment or Tax-Related,Tax Fraud,"2,357",-6%
|
| 11 |
+
Government Documents or Benefits,Driver's License Issued\Forged,589,20%
|
| 12 |
+
Government Documents or Benefits,Government Benefits Applied For\Received,"2,530",-18%
|
| 13 |
+
Government Documents or Benefits,Other Government Documents Issued\Forged,806,41%
|
| 14 |
+
Government Documents or Benefits,Passport Issued\Forged,152,15%
|
| 15 |
+
Loan or Lease,Apartment or House Rented,893,45%
|
| 16 |
+
Loan or Lease,Auto Loan\Lease,"1,995",35%
|
| 17 |
+
Loan or Lease,Business\Personal Loan,"5,147",23%
|
| 18 |
+
Loan or Lease,Federal Student Loan,318,49%
|
| 19 |
+
Loan or Lease,Non-Federal Student Loan,737,41%
|
| 20 |
+
Loan or Lease,Real Estate Loan,501,29%
|
| 21 |
+
Other Identity Theft,Email or Social Media,"1,480",18%
|
| 22 |
+
Other Identity Theft,Evading the Law,412,21%
|
| 23 |
+
Other Identity Theft,Insurance,432,20%
|
| 24 |
+
Other Identity Theft,Medical Services,360,-3%
|
| 25 |
+
Other Identity Theft,Online Shopping or Payment Account,"1,299",9%
|
| 26 |
+
Other Identity Theft,Other,"4,530",21%
|
| 27 |
+
Other Identity Theft,Securities Accounts,506,21%
|
| 28 |
+
Phone or Utilities,Landline Telephone � Existing Accounts,97,-2%
|
| 29 |
+
Phone or Utilities,Landline Telephone � New Accounts,269,26%
|
| 30 |
+
Phone or Utilities,Mobile Telephone � Existing Accounts,573,9%
|
| 31 |
+
Phone or Utilities,Mobile Telephone � New Accounts,"2,330",4%
|
| 32 |
+
Phone or Utilities,Utilities � Existing Accounts,90,-18%
|
| 33 |
+
Phone or Utilities,Utilities � New Accounts,"1,328",-5%
|
| 34 |
+
,,,
|
| 35 |
+
"Consumers can report multiple types of identity theft. In 2024, 19% of Military identity theft reports included more than one type of identity theft.",,,
|
| 36 |
+
,,,
|
| 37 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Number_of_Reports_by_Type.csv
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Number of Reports by Type,,,
|
| 2 |
+
,,,
|
| 3 |
+
Year,Fraud ,Identity Theft ,Other
|
| 4 |
+
2001,"137,306","86,250","101,963"
|
| 5 |
+
2002,"242,783","161,977","146,862"
|
| 6 |
+
2003,"331,366","215,240","167,051"
|
| 7 |
+
2004,"410,298","246,909","203,176"
|
| 8 |
+
2005,"437,585","255,687","216,042"
|
| 9 |
+
2006,"423,672","246,214","236,243"
|
| 10 |
+
2007,"505,563","259,314","305,570"
|
| 11 |
+
2008,"620,832","314,587","325,705"
|
| 12 |
+
2009,"708,781","278,360","441,836"
|
| 13 |
+
2010,"820,072","251,074","399,160"
|
| 14 |
+
2011,"1,041,517","279,191","577,835"
|
| 15 |
+
2012,"1,112,693","369,958","632,428"
|
| 16 |
+
2013,"1,159,115","290,098","685,352"
|
| 17 |
+
2014,"1,526,365","332,545","762,021"
|
| 18 |
+
2015,"1,165,393","490,085","1,429,676"
|
| 19 |
+
2016,"1,228,865","398,356","1,435,874"
|
| 20 |
+
2017,"1,310,003","370,915","1,247,309"
|
| 21 |
+
2018,"1,523,295","444,338","1,203,425"
|
| 22 |
+
2019,"1,897,238","649,390","980,572"
|
| 23 |
+
2020,"2,467,103","1,388,532","1,361,628"
|
| 24 |
+
2021,"3,041,971","1,434,477","1,686,786"
|
| 25 |
+
2022,"2,572,424","1,107,004","1,661,691"
|
| 26 |
+
2023,"2,621,649","1,036,855","1,914,555"
|
| 27 |
+
2024,"2,600,678","1,135,291","2,759,963"
|
| 28 |
+
,,,
|
| 29 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Categories.csv
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
Report Categories,,,
|
| 2 |
+
,,,
|
| 3 |
+
Rank,Category, # of Reports ,Percentage
|
| 4 |
+
1,Credit Bureaus and Information Furnishers,"1,353,175",20.91%
|
| 5 |
+
2,Identity Theft,"1,135,291",17.54%
|
| 6 |
+
3,Imposter Scams,"845,806",13.07%
|
| 7 |
+
4,Online Shopping and Negative Reviews,"384,946",5.95%
|
| 8 |
+
5,Banks and Lenders,"351,543",5.43%
|
| 9 |
+
6,Debt Collection,"218,736",3.38%
|
| 10 |
+
7,Auto Related,"197,015",3.04%
|
| 11 |
+
8,Internet Services,"151,412",2.34%
|
| 12 |
+
9,Business and Job Opportunities,"130,075",2.01%
|
| 13 |
+
10,Credit Cards,"126,368",1.95%
|
| 14 |
+
11,Investment Related,"118,960",1.84%
|
| 15 |
+
12,Health Care,"115,473",1.78%
|
| 16 |
+
13,"Privacy, Data Security, and Cyber Threats","111,024",1.72%
|
| 17 |
+
14,"Prizes, Sweepstakes and Lotteries","97,350",1.50%
|
| 18 |
+
15,Telephone and Mobile Services,"92,520",1.43%
|
| 19 |
+
16,"Home Improvement, Repair, and Solar","81,925",1.27%
|
| 20 |
+
17,"Travel, Vacations and Timeshare Plans","58,347",0.90%
|
| 21 |
+
18,Mortgage Foreclosure Relief and Debt Management,"34,159",0.53%
|
| 22 |
+
19,Television and Electronic Media,"33,360",0.52%
|
| 23 |
+
20,Advance Payments for Credit Services,"27,557",0.43%
|
| 24 |
+
21,Education,"25,813",0.40%
|
| 25 |
+
22,Computer Equipment and Software,"24,311",0.38%
|
| 26 |
+
23,Foreign Money Offers and Fake Check Scams,"18,663",0.29%
|
| 27 |
+
24,Charitable Solicitations,"11,019",0.17%
|
| 28 |
+
25,Magazines and Books,"5,435",0.08%
|
| 29 |
+
26,Tax Preparers,"5,317",0.08%
|
| 30 |
+
27,Office Supplies and Services,"3,525",0.05%
|
| 31 |
+
28,Grants,"2,229",0.03%
|
| 32 |
+
29,Funeral Services,"1,233",0.02%
|
| 33 |
+
,,,
|
| 34 |
+
"Percentages are based on the total number of 2024 Sentinel reports (6,471,708). 7% of the total were coded �Other Misc.� See Appendix B3.",,,
|
| 35 |
+
,,,
|
| 36 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Categories_over_Three_Years.csv
ADDED
|
@@ -0,0 +1,100 @@
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
Report Categories over Three Years,,,
|
| 2 |
+
,,,
|
| 3 |
+
Year,Category, # of Reports ,Percentage
|
| 4 |
+
2022,Advance Payments for Credit Services,"34,885",0.66%
|
| 5 |
+
2022,Auto Related,"179,231",3.37%
|
| 6 |
+
2022,Banks and Lenders,"263,755",4.96%
|
| 7 |
+
2022,Business and Job Opportunities,"98,554",1.85%
|
| 8 |
+
2022,Charitable Solicitations,"10,236",0.19%
|
| 9 |
+
2022,Computer Equipment and Software,"22,510",0.42%
|
| 10 |
+
2022,Credit Bureaus and Information Furnishers,"590,872",11.11%
|
| 11 |
+
2022,Credit Cards,"89,823",1.69%
|
| 12 |
+
2022,Debt Collection,"113,050",2.13%
|
| 13 |
+
2022,Education,"21,185",0.40%
|
| 14 |
+
2022,Foreign Money Offers and Fake Check Scams,"41,327",0.78%
|
| 15 |
+
2022,Funeral Services,"1,631",0.03%
|
| 16 |
+
2022,Grants,"2,535",0.05%
|
| 17 |
+
2022,Health Care,"110,757",2.08%
|
| 18 |
+
2022,"Home Improvement, Repair, and Solar","95,198",1.79%
|
| 19 |
+
2022,Identity Theft,"1,107,004",20.82%
|
| 20 |
+
2022,Imposter Scams,"761,775",14.33%
|
| 21 |
+
2022,Internet Services,"139,007",2.61%
|
| 22 |
+
2022,Investment Related,"107,964",2.03%
|
| 23 |
+
2022,Magazines and Books,"6,777",0.13%
|
| 24 |
+
2022,Miscellaneous Reports,"60,481",1.14%
|
| 25 |
+
2022,Mortgage Foreclosure Relief and Debt Management,"24,843",0.47%
|
| 26 |
+
2022,Office Supplies and Services,"4,453",0.08%
|
| 27 |
+
2022,Online Shopping and Negative Reviews,"367,786",6.92%
|
| 28 |
+
2022,"Privacy, Data Security, and Cyber Threats","70,891",1.33%
|
| 29 |
+
2022,"Prizes, Sweepstakes and Lotteries","148,570",2.79%
|
| 30 |
+
2022,Tax Preparers,"8,824",0.17%
|
| 31 |
+
2022,Telephone and Mobile Services,"108,870",2.05%
|
| 32 |
+
2022,Television and Electronic Media,"38,578",0.73%
|
| 33 |
+
2022,"Travel, Vacations and Timeshare Plans","69,209",1.30%
|
| 34 |
+
2022,Unspecified Reports,"966,655",18.18%
|
| 35 |
+
2023,Advance Payments for Credit Services,"30,467",0.55%
|
| 36 |
+
2023,Auto Related,"187,673",3.38%
|
| 37 |
+
2023,Banks and Lenders,"291,684",5.26%
|
| 38 |
+
2023,Business and Job Opportunities,"111,968",2.02%
|
| 39 |
+
2023,Charitable Solicitations,"9,976",0.18%
|
| 40 |
+
2023,Computer Equipment and Software,"22,215",0.40%
|
| 41 |
+
2023,Credit Bureaus and Information Furnishers,"713,044",12.85%
|
| 42 |
+
2023,Credit Cards,"103,206",1.86%
|
| 43 |
+
2023,Debt Collection,"127,418",2.30%
|
| 44 |
+
2023,Education,"27,528",0.50%
|
| 45 |
+
2023,Foreign Money Offers and Fake Check Scams,"32,185",0.58%
|
| 46 |
+
2023,Funeral Services,"1,436",0.03%
|
| 47 |
+
2023,Grants,"2,339",0.04%
|
| 48 |
+
2023,Health Care,"114,899",2.07%
|
| 49 |
+
2023,"Home Improvement, Repair, and Solar","87,063",1.57%
|
| 50 |
+
2023,Identity Theft,"1,036,855",18.69%
|
| 51 |
+
2023,Imposter Scams,"856,248",15.43%
|
| 52 |
+
2023,Internet Services,"134,137",2.42%
|
| 53 |
+
2023,Investment Related,"110,639",1.99%
|
| 54 |
+
2023,Magazines and Books,"5,679",0.10%
|
| 55 |
+
2023,Miscellaneous Reports,"78,598",1.42%
|
| 56 |
+
2023,Mortgage Foreclosure Relief and Debt Management,"26,643",0.48%
|
| 57 |
+
2023,Office Supplies and Services,"3,954",0.07%
|
| 58 |
+
2023,Online Shopping and Negative Reviews,"380,780",6.86%
|
| 59 |
+
2023,"Privacy, Data Security, and Cyber Threats","79,882",1.44%
|
| 60 |
+
2023,"Prizes, Sweepstakes and Lotteries","158,102",2.85%
|
| 61 |
+
2023,Tax Preparers,"6,220",0.11%
|
| 62 |
+
2023,Telephone and Mobile Services,"97,501",1.76%
|
| 63 |
+
2023,Television and Electronic Media,"41,269",0.74%
|
| 64 |
+
2023,"Travel, Vacations and Timeshare Plans","57,067",1.03%
|
| 65 |
+
2023,Unspecified Reports,"945,893",17.05%
|
| 66 |
+
2024,Advance Payments for Credit Services,"27,557",0.43%
|
| 67 |
+
2024,Auto Related,"197,015",3.04%
|
| 68 |
+
2024,Banks and Lenders,"351,543",5.43%
|
| 69 |
+
2024,Business and Job Opportunities,"130,075",2.01%
|
| 70 |
+
2024,Charitable Solicitations,"11,019",0.17%
|
| 71 |
+
2024,Computer Equipment and Software,"24,311",0.38%
|
| 72 |
+
2024,Credit Bureaus and Information Furnishers,"1,353,175",20.91%
|
| 73 |
+
2024,Credit Cards,"126,368",1.95%
|
| 74 |
+
2024,Debt Collection,"218,736",3.38%
|
| 75 |
+
2024,Education,"25,813",0.40%
|
| 76 |
+
2024,Foreign Money Offers and Fake Check Scams,"18,663",0.29%
|
| 77 |
+
2024,Funeral Services,"1,233",0.02%
|
| 78 |
+
2024,Grants,"2,229",0.03%
|
| 79 |
+
2024,Health Care,"115,473",1.78%
|
| 80 |
+
2024,"Home Improvement, Repair, and Solar","81,925",1.27%
|
| 81 |
+
2024,Identity Theft,"1,135,291",17.54%
|
| 82 |
+
2024,Imposter Scams,"845,806",13.07%
|
| 83 |
+
2024,Internet Services,"151,412",2.34%
|
| 84 |
+
2024,Investment Related,"118,960",1.84%
|
| 85 |
+
2024,Magazines and Books,"5,435",0.08%
|
| 86 |
+
2024,Miscellaneous Reports,"80,725",1.25%
|
| 87 |
+
2024,Mortgage Foreclosure Relief and Debt Management,"34,159",0.53%
|
| 88 |
+
2024,Office Supplies and Services,"3,525",0.05%
|
| 89 |
+
2024,Online Shopping and Negative Reviews,"384,946",5.95%
|
| 90 |
+
2024,"Privacy, Data Security, and Cyber Threats","111,024",1.72%
|
| 91 |
+
2024,"Prizes, Sweepstakes and Lotteries","97,350",1.50%
|
| 92 |
+
2024,Tax Preparers,"5,317",0.08%
|
| 93 |
+
2024,Telephone and Mobile Services,"92,520",1.43%
|
| 94 |
+
2024,Television and Electronic Media,"33,360",0.52%
|
| 95 |
+
2024,"Travel, Vacations and Timeshare Plans","58,347",0.90%
|
| 96 |
+
2024,Unspecified Reports,"968,966",14.97%
|
| 97 |
+
,,,
|
| 98 |
+
"Percentages are based on the total number of Sentinel reports in 2022 (5,317,751), 2023 (5,548,815), and 2024 (6,471,708). Consumers can report more than one category or subcategory.",,,
|
| 99 |
+
,,,
|
| 100 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Count.csv
ADDED
|
@@ -0,0 +1,31 @@
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|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
"Number of Fraud, Identity Theft and Other Reports by Year",
|
| 2 |
+
,
|
| 3 |
+
Year,# of Reports
|
| 4 |
+
2001,"325,519"
|
| 5 |
+
2002,"551,622"
|
| 6 |
+
2003,"713,657"
|
| 7 |
+
2004,"860,383"
|
| 8 |
+
2005,"909,314"
|
| 9 |
+
2006,"906,129"
|
| 10 |
+
2007,"1,070,447"
|
| 11 |
+
2008,"1,261,124"
|
| 12 |
+
2009,"1,428,977"
|
| 13 |
+
2010,"1,470,306"
|
| 14 |
+
2011,"1,898,543"
|
| 15 |
+
2012,"2,115,079"
|
| 16 |
+
2013,"2,134,565"
|
| 17 |
+
2014,"2,620,931"
|
| 18 |
+
2015,"3,080,378"
|
| 19 |
+
2016,"3,060,824"
|
| 20 |
+
2017,"2,926,167"
|
| 21 |
+
2018,"3,161,213"
|
| 22 |
+
2019,"3,485,938"
|
| 23 |
+
2020,"5,165,295"
|
| 24 |
+
2021,"6,136,404"
|
| 25 |
+
2022,"5,317,751"
|
| 26 |
+
2023,"5,548,815"
|
| 27 |
+
2024,"6,471,708"
|
| 28 |
+
,
|
| 29 |
+
The reported figures exclude National Do Not Call Registry complaints.,
|
| 30 |
+
,
|
| 31 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Type.csv
ADDED
|
@@ -0,0 +1,46 @@
|
|
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|
|
|
|
| 1 |
+
Report Type,,,,,
|
| 2 |
+
,,,,,
|
| 3 |
+
Report Type,# of Reports,,,,
|
| 4 |
+
Fraud,"2,600,678",40.2% of total reports,,,
|
| 5 |
+
Identity Theft,"1,135,291",17.5% of total reports,,,
|
| 6 |
+
Other,"2,759,963",42.6% of total reports,,,
|
| 7 |
+
,,,,,
|
| 8 |
+
Top 10 Categories,,,,,
|
| 9 |
+
Rank,Category, # of Reports ,% Reporting $ Loss, Total $ Loss , Median $ Loss
|
| 10 |
+
1,Imposter Scams,"845,806",22%,"$2,952M",$800
|
| 11 |
+
2,Online Shopping and Negative Reviews,"383,441",76%,$432M,$130
|
| 12 |
+
3,Business and Job Opportunities,"126,217",36%,$751M,"$2,250 "
|
| 13 |
+
4,Investment Related,"118,960",79%,"$5,697M","$9,196 "
|
| 14 |
+
5,Internet Services,"118,261",28%,$164M,$300
|
| 15 |
+
6,"Prizes, Sweepstakes and Lotteries","97,350",22%,$351M,"$1,000 "
|
| 16 |
+
7,Telephone and Mobile Services,"92,520",39%,$56M,$240
|
| 17 |
+
8,Health Care,"78,763",51%,$80M,$283
|
| 18 |
+
9,"Travel, Vacations and Timeshare Plans","58,347",67%,$274M,$922
|
| 19 |
+
10,Mortgage Foreclosure Relief and Debt Management,"34,159",21%,$82M,"$1,500 "
|
| 20 |
+
,,,,,
|
| 21 |
+
Identity Theft Types,,,,,
|
| 22 |
+
Rank, Theft Type , # of Reports ,,,
|
| 23 |
+
1,Credit Card,"449,032",,,
|
| 24 |
+
2,Other Identity Theft,"358,993",,,
|
| 25 |
+
3,Loan or Lease,"176,400",,,
|
| 26 |
+
4,Bank Account,"114,608",,,
|
| 27 |
+
5,Employment or Tax-Related,"87,470",,,
|
| 28 |
+
6,Phone or Utilities,"82,626",,,
|
| 29 |
+
7,Government Documents or Benefits,"70,332",,,
|
| 30 |
+
,,,,,
|
| 31 |
+
Top 10 Other Categories,,,,,
|
| 32 |
+
Rank,Category,# of Reports ,,,
|
| 33 |
+
1,Credit Bureaus and Information Furnishers,"1,353,175",,,
|
| 34 |
+
2,Banks and Lenders,"351,543",,,
|
| 35 |
+
3,Debt Collection,"218,736",,,
|
| 36 |
+
4,Auto Related,"197,015",,,
|
| 37 |
+
5,Credit Cards,"126,368",,,
|
| 38 |
+
6,"Home Improvement, Repair, and Solar","81,925",,,
|
| 39 |
+
7,Television and Electronic Media,"33,360",,,
|
| 40 |
+
8,Education,"25,813",,,
|
| 41 |
+
9,Computer Equipment and Software,"24,311",,,
|
| 42 |
+
10,"Privacy, Data Security, and Cyber Threats","21,601",,,
|
| 43 |
+
,,,,,
|
| 44 |
+
"Certain categories are comprised of subcategories that fall in both and Other report types. See Appendix B3. The rankings exclude subcategories that are not, and the Other rankings exclude subcategories that are classified as.",,,,,
|
| 45 |
+
,,,,,
|
| 46 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Reported_Frauds_and_Losses_by_Age.csv
ADDED
|
@@ -0,0 +1,16 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Reported Frauds and Losses by Age,,,,,
|
| 2 |
+
,,,,,
|
| 3 |
+
Age Range,# of Reports,Percentage,Total $ Lost,Median $ Loss,Percentage Reporting $ Loss
|
| 4 |
+
19 and Under,"30,330",3%,$55M,$189 ,51%
|
| 5 |
+
20 - 29,"155,346",13%,$430M,$417 ,44%
|
| 6 |
+
30 - 39,"203,764",17%,$810M,$450 ,40%
|
| 7 |
+
40 - 49,"191,508",16%,$971M,$500 ,38%
|
| 8 |
+
50 - 59,"175,898",15%,"$1,006M",$520 ,35%
|
| 9 |
+
60 - 69,"208,896",18%,"$1,180M",$691 ,29%
|
| 10 |
+
70 - 79,"159,550",14%,$887M,"$1,000 ",24%
|
| 11 |
+
80 and Over,"51,713",4%,$319M,"$1,650 ",21%
|
| 12 |
+
,,,,,
|
| 13 |
+
"Percentages are based on the total number of 2024 fraud reports in which consumers provided their age: 1,177,005.",,,,,
|
| 14 |
+
"Of the 2,600,678 total fraud reports in 2024, 45% included consumer age information.",,,,,
|
| 15 |
+
,,,,,
|
| 16 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Reports_by_Military_Consumers.csv
ADDED
|
@@ -0,0 +1,51 @@
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|
|
| 1 |
+
Reports by Military Consumers,,,,,
|
| 2 |
+
,,,,,
|
| 3 |
+
Report Type,# of Reports,,,,
|
| 4 |
+
Fraud,"99,443",,,,
|
| 5 |
+
Identity Theft,"38,736",,,,
|
| 6 |
+
Other,"75,652",,,,
|
| 7 |
+
,,,,,
|
| 8 |
+
# of Fraud Reports,"99,443",,,,
|
| 9 |
+
# of Reports with $ Loss,"31,833",32% of military consumer fraud reports,,,
|
| 10 |
+
Total $ Loss,$584M,,,,
|
| 11 |
+
Median $ Loss,$700 ,,,,
|
| 12 |
+
,,,,,
|
| 13 |
+
Top 10 Fraud Categories,,,,,
|
| 14 |
+
Rank,Category, # of Reports ,% Reporting $ Loss, Total $ Loss , Median $ Loss
|
| 15 |
+
1,Imposter Scams,"44,587",23%,$199.6M,"$1,110 "
|
| 16 |
+
2,Online Shopping and Negative Reviews,"11,515",81%,$22.5M,$150
|
| 17 |
+
3,Investment Related,"4,750",73%,$208.1M,"$10,000 "
|
| 18 |
+
4,Business and Job Opportunities,"4,655",35%,$38.4M,"$2,800 "
|
| 19 |
+
5,"Prizes, Sweepstakes and Lotteries","3,469",33%,$29.2M,"$1,665 "
|
| 20 |
+
6,Internet Services,"2,558",18%,$3.2M,$214
|
| 21 |
+
7,Telephone and Mobile Services,"2,247",42%,$2.6M,$200
|
| 22 |
+
8,Mortgage Foreclosure Relief and Debt Management,"2,071",26%,$9.4M,"$1,356 "
|
| 23 |
+
9,"Travel, Vacations and Timeshare Plans","1,385",71%,$18.6M,"$2,746 "
|
| 24 |
+
10,Advance Payments for Credit Services,"1,189",34%,$9.7M,"$1,350 "
|
| 25 |
+
,,,,,
|
| 26 |
+
Identity Theft Types,,,,,
|
| 27 |
+
Rank, Theft Type ,# of Reports,,,
|
| 28 |
+
1,Credit Card,"14,088",,,
|
| 29 |
+
2,Loan or Lease,"8,365",,,
|
| 30 |
+
3,Other Identity Theft,"7,556",,,
|
| 31 |
+
4,Bank Account,"7,485",,,
|
| 32 |
+
5,Phone or Utilities,"4,258",,,
|
| 33 |
+
6,Government Documents or Benefits,"3,479",,,
|
| 34 |
+
7,Employment or Tax-Related,"3,264",,,
|
| 35 |
+
,,,,,
|
| 36 |
+
Top 10 Other Categories,,,,,
|
| 37 |
+
Rank,Category,# of Reports,,,
|
| 38 |
+
1,Credit Bureaus and Information Furnishers,"20,536",,,
|
| 39 |
+
2,Banks and Lenders,"16,801",,,
|
| 40 |
+
3,Debt Collection,"6,329",,,
|
| 41 |
+
4,Credit Cards,"5,726",,,
|
| 42 |
+
5,Auto Related,"5,073",,,
|
| 43 |
+
6,"Home Improvement, Repair, and Solar",1577,,,
|
| 44 |
+
7,"Privacy, Data Security, and Cyber Threats",1567,,,
|
| 45 |
+
8,Education,1226,,,
|
| 46 |
+
9,Television and Electronic Media,844,,,
|
| 47 |
+
10,Computer Equipment and Software,186,,,
|
| 48 |
+
,,,,,
|
| 49 |
+
"Certain categories are comprised of subcategories that fall in both Fraud and Other report types. See Appendix B3. The Fraud rankings exclude subcategories that are not fraud, and the Other rankings exclude subcategories that are classified as fraud.",,,,,
|
| 50 |
+
,,,,,
|
| 51 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Fraud_Reports_and_Losses.csv
ADDED
|
@@ -0,0 +1,59 @@
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|
| 1 |
+
Fraud Reports and Reported Amount Lost by State,,,,
|
| 2 |
+
,,,,
|
| 3 |
+
State,# of Reports,% Reporting $ Loss,Total $ Loss,Median $ Loss
|
| 4 |
+
Alabama,"26,049",39%,"$104,201,969 ",$400
|
| 5 |
+
Alaska,"4,917",39%,"$26,942,595 ",$525
|
| 6 |
+
Arizona,"54,367",41%,"$336,716,502 ",$600
|
| 7 |
+
Arkansas,"14,393",40%,"$52,115,298 ",$375
|
| 8 |
+
California,"238,705",40%,"$1,678,703,608 ",$542
|
| 9 |
+
Colorado,"44,945",38%,"$210,727,907 ",$500
|
| 10 |
+
Connecticut,"20,825",41%,"$90,349,831 ",$432
|
| 11 |
+
Delaware,"7,540",39%,"$34,282,919 ",$466
|
| 12 |
+
District of Columbia,"7,082",36%,"$30,392,313 ",$448
|
| 13 |
+
Florida,"159,307",41%,"$866,069,909 ",$520
|
| 14 |
+
Georgia,"67,703",39%,"$291,260,795 ",$450
|
| 15 |
+
Hawaii,"8,832",39%,"$61,597,207 ",$600
|
| 16 |
+
Idaho,"10,359",41%,"$53,935,183 ",$490
|
| 17 |
+
Illinois,"71,060",41%,"$318,113,996 ",$400
|
| 18 |
+
Indiana,"34,586",38%,"$112,284,529 ",$375
|
| 19 |
+
Iowa,"13,975",39%,"$51,955,685 ",$400
|
| 20 |
+
Kansas,"14,747",39%,"$57,590,798 ",$402
|
| 21 |
+
Kentucky,"22,129",40%,"$70,763,918 ",$349
|
| 22 |
+
Louisiana,"20,534",39%,"$89,368,368 ",$425
|
| 23 |
+
Maine,"7,675",40%,"$29,251,463 ",$350
|
| 24 |
+
Maryland,"43,876",38%,"$198,919,905 ",$435
|
| 25 |
+
Massachusetts,"40,845",40%,"$210,339,833 ",$425
|
| 26 |
+
Michigan,"53,351",39%,"$204,033,291 ",$350
|
| 27 |
+
Minnesota,"31,081",38%,"$144,567,540 ",$412
|
| 28 |
+
Mississippi,"12,911",39%,"$44,397,299 ",$353
|
| 29 |
+
Missouri,"35,317",39%,"$139,349,918 ",$400
|
| 30 |
+
Montana,"6,569",39%,"$22,546,556 ",$459
|
| 31 |
+
Nebraska,"9,655",38%,"$41,875,694 ",$400
|
| 32 |
+
Nevada,"24,331",42%,"$138,538,256 ",$519
|
| 33 |
+
New Hampshire,"8,838",39%,"$34,625,261 ",$325
|
| 34 |
+
New Jersey,"55,969",40%,"$314,439,857 ",$500
|
| 35 |
+
New Mexico,"12,694",38%,"$56,598,540 ",$500
|
| 36 |
+
New York,"118,933",40%,"$533,979,898 ",$429
|
| 37 |
+
North Carolina,"63,176",40%,"$276,797,227 ",$407
|
| 38 |
+
North Dakota,"3,127",42%,"$14,369,138 ",$479
|
| 39 |
+
Ohio,"63,367",38%,"$226,195,712 ",$350
|
| 40 |
+
Oklahoma,"19,331",40%,"$72,729,698 ",$432
|
| 41 |
+
Oregon,"30,013",37%,"$123,704,947 ",$400
|
| 42 |
+
Pennsylvania,"74,926",40%,"$285,404,657 ",$350
|
| 43 |
+
Puerto Rico,"2,759",50%,"$14,458,031 ",$609
|
| 44 |
+
Rhode Island,"5,948",42%,"$20,655,420 ",$350
|
| 45 |
+
South Carolina,"31,929",40%,"$137,049,006 ",$450
|
| 46 |
+
South Dakota,"3,880",42%,"$20,431,576 ",$400
|
| 47 |
+
Tennessee,"39,942",39%,"$157,176,393 ",$400
|
| 48 |
+
Texas,"162,101",41%,"$897,890,888 ",$500
|
| 49 |
+
Utah,"19,493",40%,"$113,094,286 ",$550
|
| 50 |
+
Vermont,"3,914",37%,"$10,552,373 ",$285
|
| 51 |
+
Virginia,"57,867",39%,"$293,690,299 ",$450
|
| 52 |
+
Washington,"56,358",36%,"$297,200,858 ",$465
|
| 53 |
+
West Virginia,"8,767",41%,"$27,018,386 ",$341
|
| 54 |
+
Wisconsin,"30,287",40%,"$106,041,111 ",$357
|
| 55 |
+
Wyoming,"3,577",40%,"$20,097,503 ",$600
|
| 56 |
+
,,,,
|
| 57 |
+
"The amount lost refers to reports with a loss of $1 � $999,999. The number of reports for each state excludes state-specific data contributor reports.",,,,
|
| 58 |
+
,,,,
|
| 59 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Identity_Theft_Reports.csv
ADDED
|
@@ -0,0 +1,371 @@
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| 1 |
+
State: Identity Theft Reports,,,
|
| 2 |
+
,,,
|
| 3 |
+
State,Theft Type,# of Reports,Percentage
|
| 4 |
+
Alabama,Bank Account,"1,202",9%
|
| 5 |
+
Alabama,Credit Card,"5,245",39%
|
| 6 |
+
Alabama,Employment or Tax-Related,746,5%
|
| 7 |
+
Alabama,Government Documents or Benefits,696,5%
|
| 8 |
+
Alabama,Loan or Lease,"2,846",21%
|
| 9 |
+
Alabama,Other Identity Theft,"4,842",36%
|
| 10 |
+
Alabama,Phone or Utilities,"1,012",7%
|
| 11 |
+
Alaska,Bank Account,131,17%
|
| 12 |
+
Alaska,Credit Card,252,32%
|
| 13 |
+
Alaska,Employment or Tax-Related,69,9%
|
| 14 |
+
Alaska,Government Documents or Benefits,79,10%
|
| 15 |
+
Alaska,Loan or Lease,116,15%
|
| 16 |
+
Alaska,Other Identity Theft,219,28%
|
| 17 |
+
Alaska,Phone or Utilities,72,9%
|
| 18 |
+
Arizona,Bank Account,"1,987",10%
|
| 19 |
+
Arizona,Credit Card,"8,097",39%
|
| 20 |
+
Arizona,Employment or Tax-Related,"2,502",12%
|
| 21 |
+
Arizona,Government Documents or Benefits,"1,134",5%
|
| 22 |
+
Arizona,Loan or Lease,"3,541",17%
|
| 23 |
+
Arizona,Other Identity Theft,"5,617",27%
|
| 24 |
+
Arizona,Phone or Utilities,"1,823",9%
|
| 25 |
+
Arkansas,Bank Account,755,12%
|
| 26 |
+
Arkansas,Credit Card,"1,979",31%
|
| 27 |
+
Arkansas,Employment or Tax-Related,855,13%
|
| 28 |
+
Arkansas,Government Documents or Benefits,391,6%
|
| 29 |
+
Arkansas,Loan or Lease,"1,092",17%
|
| 30 |
+
Arkansas,Other Identity Theft,"2,070",33%
|
| 31 |
+
Arkansas,Phone or Utilities,520,8%
|
| 32 |
+
California,Bank Account,"11,916",9%
|
| 33 |
+
California,Credit Card,"68,323",49%
|
| 34 |
+
California,Employment or Tax-Related,"10,341",7%
|
| 35 |
+
California,Government Documents or Benefits,"6,442",5%
|
| 36 |
+
California,Loan or Lease,"18,629",13%
|
| 37 |
+
California,Other Identity Theft,"38,458",28%
|
| 38 |
+
California,Phone or Utilities,"7,182",5%
|
| 39 |
+
Colorado,Bank Account,"2,230",18%
|
| 40 |
+
Colorado,Credit Card,"4,191",35%
|
| 41 |
+
Colorado,Employment or Tax-Related,"1,282",11%
|
| 42 |
+
Colorado,Government Documents or Benefits,"1,165",10%
|
| 43 |
+
Colorado,Loan or Lease,"1,822",15%
|
| 44 |
+
Colorado,Other Identity Theft,"2,777",23%
|
| 45 |
+
Colorado,Phone or Utilities,"1,002",8%
|
| 46 |
+
Connecticut,Bank Account,"1,232",14%
|
| 47 |
+
Connecticut,Credit Card,"3,786",45%
|
| 48 |
+
Connecticut,Employment or Tax-Related,504,6%
|
| 49 |
+
Connecticut,Government Documents or Benefits,554,7%
|
| 50 |
+
Connecticut,Loan or Lease,948,11%
|
| 51 |
+
Connecticut,Other Identity Theft,"2,276",27%
|
| 52 |
+
Connecticut,Phone or Utilities,663,8%
|
| 53 |
+
Delaware,Bank Account,320,8%
|
| 54 |
+
Delaware,Credit Card,"1,785",45%
|
| 55 |
+
Delaware,Employment or Tax-Related,157,4%
|
| 56 |
+
Delaware,Government Documents or Benefits,152,4%
|
| 57 |
+
Delaware,Loan or Lease,670,17%
|
| 58 |
+
Delaware,Other Identity Theft,"1,226",31%
|
| 59 |
+
Delaware,Phone or Utilities,385,10%
|
| 60 |
+
District of Columbia,Bank Account,428,13%
|
| 61 |
+
District of Columbia,Credit Card,"1,572",49%
|
| 62 |
+
District of Columbia,Employment or Tax-Related,160,5%
|
| 63 |
+
District of Columbia,Government Documents or Benefits,189,6%
|
| 64 |
+
District of Columbia,Loan or Lease,532,16%
|
| 65 |
+
District of Columbia,Other Identity Theft,800,25%
|
| 66 |
+
District of Columbia,Phone or Utilities,196,6%
|
| 67 |
+
Florida,Bank Account,"7,335",6%
|
| 68 |
+
Florida,Credit Card,"57,997",50%
|
| 69 |
+
Florida,Employment or Tax-Related,"3,871",3%
|
| 70 |
+
Florida,Government Documents or Benefits,"3,382",3%
|
| 71 |
+
Florida,Loan or Lease,"18,568",16%
|
| 72 |
+
Florida,Other Identity Theft,"37,464",32%
|
| 73 |
+
Florida,Phone or Utilities,"6,344",5%
|
| 74 |
+
Georgia,Bank Account,"3,397",6%
|
| 75 |
+
Georgia,Credit Card,"26,174",47%
|
| 76 |
+
Georgia,Employment or Tax-Related,"2,262",4%
|
| 77 |
+
Georgia,Government Documents or Benefits,"1,473",3%
|
| 78 |
+
Georgia,Loan or Lease,"12,232",22%
|
| 79 |
+
Georgia,Other Identity Theft,"19,345",35%
|
| 80 |
+
Georgia,Phone or Utilities,"3,852",7%
|
| 81 |
+
Hawaii,Bank Account,301,15%
|
| 82 |
+
Hawaii,Credit Card,805,40%
|
| 83 |
+
Hawaii,Employment or Tax-Related,106,5%
|
| 84 |
+
Hawaii,Government Documents or Benefits,117,6%
|
| 85 |
+
Hawaii,Loan or Lease,308,15%
|
| 86 |
+
Hawaii,Other Identity Theft,601,30%
|
| 87 |
+
Hawaii,Phone or Utilities,139,7%
|
| 88 |
+
Idaho,Bank Account,371,16%
|
| 89 |
+
Idaho,Credit Card,787,33%
|
| 90 |
+
Idaho,Employment or Tax-Related,190,8%
|
| 91 |
+
Idaho,Government Documents or Benefits,128,5%
|
| 92 |
+
Idaho,Loan or Lease,452,19%
|
| 93 |
+
Idaho,Other Identity Theft,646,27%
|
| 94 |
+
Idaho,Phone or Utilities,209,9%
|
| 95 |
+
Illinois,Bank Account,"4,128",10%
|
| 96 |
+
Illinois,Credit Card,"17,685",41%
|
| 97 |
+
Illinois,Employment or Tax-Related,"2,407",6%
|
| 98 |
+
Illinois,Government Documents or Benefits,"3,693",9%
|
| 99 |
+
Illinois,Loan or Lease,"7,674",18%
|
| 100 |
+
Illinois,Other Identity Theft,"11,872",28%
|
| 101 |
+
Illinois,Phone or Utilities,"3,743",9%
|
| 102 |
+
Indiana,Bank Account,"1,467",11%
|
| 103 |
+
Indiana,Credit Card,"4,860",36%
|
| 104 |
+
Indiana,Employment or Tax-Related,848,6%
|
| 105 |
+
Indiana,Government Documents or Benefits,627,5%
|
| 106 |
+
Indiana,Loan or Lease,"3,089",23%
|
| 107 |
+
Indiana,Other Identity Theft,"4,883",36%
|
| 108 |
+
Indiana,Phone or Utilities,"1,032",8%
|
| 109 |
+
Iowa,Bank Account,630,16%
|
| 110 |
+
Iowa,Credit Card,"1,321",34%
|
| 111 |
+
Iowa,Employment or Tax-Related,284,7%
|
| 112 |
+
Iowa,Government Documents or Benefits,411,10%
|
| 113 |
+
Iowa,Loan or Lease,527,13%
|
| 114 |
+
Iowa,Other Identity Theft,"1,088",28%
|
| 115 |
+
Iowa,Phone or Utilities,346,9%
|
| 116 |
+
Kansas,Bank Account,742,16%
|
| 117 |
+
Kansas,Credit Card,"1,429",32%
|
| 118 |
+
Kansas,Employment or Tax-Related,479,11%
|
| 119 |
+
Kansas,Government Documents or Benefits,302,7%
|
| 120 |
+
Kansas,Loan or Lease,904,20%
|
| 121 |
+
Kansas,Other Identity Theft,"1,141",25%
|
| 122 |
+
Kansas,Phone or Utilities,369,8%
|
| 123 |
+
Kentucky,Bank Account,954,15%
|
| 124 |
+
Kentucky,Credit Card,"2,101",33%
|
| 125 |
+
Kentucky,Employment or Tax-Related,545,9%
|
| 126 |
+
Kentucky,Government Documents or Benefits,345,5%
|
| 127 |
+
Kentucky,Loan or Lease,933,15%
|
| 128 |
+
Kentucky,Other Identity Theft,"2,139",33%
|
| 129 |
+
Kentucky,Phone or Utilities,532,8%
|
| 130 |
+
Louisiana,Bank Account,937,6%
|
| 131 |
+
Louisiana,Credit Card,"6,970",44%
|
| 132 |
+
Louisiana,Employment or Tax-Related,726,5%
|
| 133 |
+
Louisiana,Government Documents or Benefits,700,4%
|
| 134 |
+
Louisiana,Loan or Lease,"2,986",19%
|
| 135 |
+
Louisiana,Other Identity Theft,"5,558",35%
|
| 136 |
+
Louisiana,Phone or Utilities,"1,044",7%
|
| 137 |
+
Maine,Bank Account,281,16%
|
| 138 |
+
Maine,Credit Card,520,30%
|
| 139 |
+
Maine,Employment or Tax-Related,219,13%
|
| 140 |
+
Maine,Government Documents or Benefits,122,7%
|
| 141 |
+
Maine,Loan or Lease,256,15%
|
| 142 |
+
Maine,Other Identity Theft,491,28%
|
| 143 |
+
Maine,Phone or Utilities,142,8%
|
| 144 |
+
Maryland,Bank Account,"2,057",10%
|
| 145 |
+
Maryland,Credit Card,"8,958",45%
|
| 146 |
+
Maryland,Employment or Tax-Related,"1,054",5%
|
| 147 |
+
Maryland,Government Documents or Benefits,"1,125",6%
|
| 148 |
+
Maryland,Loan or Lease,"3,112",16%
|
| 149 |
+
Maryland,Other Identity Theft,"5,707",29%
|
| 150 |
+
Maryland,Phone or Utilities,"1,260",6%
|
| 151 |
+
Massachusetts,Bank Account,"4,347",16%
|
| 152 |
+
Massachusetts,Credit Card,"11,469",42%
|
| 153 |
+
Massachusetts,Employment or Tax-Related,"1,242",5%
|
| 154 |
+
Massachusetts,Government Documents or Benefits,"2,462",9%
|
| 155 |
+
Massachusetts,Loan or Lease,"2,597",10%
|
| 156 |
+
Massachusetts,Other Identity Theft,"8,543",31%
|
| 157 |
+
Massachusetts,Phone or Utilities,964,4%
|
| 158 |
+
Michigan,Bank Account,"2,469",10%
|
| 159 |
+
Michigan,Credit Card,"9,383",39%
|
| 160 |
+
Michigan,Employment or Tax-Related,"1,346",6%
|
| 161 |
+
Michigan,Government Documents or Benefits,"1,225",5%
|
| 162 |
+
Michigan,Loan or Lease,"4,022",17%
|
| 163 |
+
Michigan,Other Identity Theft,"7,585",32%
|
| 164 |
+
Michigan,Phone or Utilities,"2,820",12%
|
| 165 |
+
Minnesota,Bank Account,"1,272",17%
|
| 166 |
+
Minnesota,Credit Card,"2,799",38%
|
| 167 |
+
Minnesota,Employment or Tax-Related,522,7%
|
| 168 |
+
Minnesota,Government Documents or Benefits,549,8%
|
| 169 |
+
Minnesota,Loan or Lease,"1,164",16%
|
| 170 |
+
Minnesota,Other Identity Theft,"1,877",26%
|
| 171 |
+
Minnesota,Phone or Utilities,565,8%
|
| 172 |
+
Mississippi,Bank Account,608,8%
|
| 173 |
+
Mississippi,Credit Card,"3,066",39%
|
| 174 |
+
Mississippi,Employment or Tax-Related,407,5%
|
| 175 |
+
Mississippi,Government Documents or Benefits,266,3%
|
| 176 |
+
Mississippi,Loan or Lease,"1,844",23%
|
| 177 |
+
Mississippi,Other Identity Theft,"2,862",36%
|
| 178 |
+
Mississippi,Phone or Utilities,516,7%
|
| 179 |
+
Missouri,Bank Account,"1,731",15%
|
| 180 |
+
Missouri,Credit Card,"3,740",32%
|
| 181 |
+
Missouri,Employment or Tax-Related,777,7%
|
| 182 |
+
Missouri,Government Documents or Benefits,602,5%
|
| 183 |
+
Missouri,Loan or Lease,"2,466",21%
|
| 184 |
+
Missouri,Other Identity Theft,"3,739",32%
|
| 185 |
+
Missouri,Phone or Utilities,917,8%
|
| 186 |
+
Montana,Bank Account,232,16%
|
| 187 |
+
Montana,Credit Card,440,30%
|
| 188 |
+
Montana,Employment or Tax-Related,104,7%
|
| 189 |
+
Montana,Government Documents or Benefits,282,19%
|
| 190 |
+
Montana,Loan or Lease,202,14%
|
| 191 |
+
Montana,Other Identity Theft,337,23%
|
| 192 |
+
Montana,Phone or Utilities,137,9%
|
| 193 |
+
Nebraska,Bank Account,404,16%
|
| 194 |
+
Nebraska,Credit Card,840,33%
|
| 195 |
+
Nebraska,Employment or Tax-Related,207,8%
|
| 196 |
+
Nebraska,Government Documents or Benefits,253,10%
|
| 197 |
+
Nebraska,Loan or Lease,362,14%
|
| 198 |
+
Nebraska,Other Identity Theft,746,29%
|
| 199 |
+
Nebraska,Phone or Utilities,228,9%
|
| 200 |
+
Nevada,Bank Account,990,7%
|
| 201 |
+
Nevada,Credit Card,"6,667",46%
|
| 202 |
+
Nevada,Employment or Tax-Related,769,5%
|
| 203 |
+
Nevada,Government Documents or Benefits,597,4%
|
| 204 |
+
Nevada,Loan or Lease,"2,917",20%
|
| 205 |
+
Nevada,Other Identity Theft,"4,593",31%
|
| 206 |
+
Nevada,Phone or Utilities,"1,093",7%
|
| 207 |
+
New Hampshire,Bank Account,371,18%
|
| 208 |
+
New Hampshire,Credit Card,797,38%
|
| 209 |
+
New Hampshire,Employment or Tax-Related,142,7%
|
| 210 |
+
New Hampshire,Government Documents or Benefits,124,6%
|
| 211 |
+
New Hampshire,Loan or Lease,276,13%
|
| 212 |
+
New Hampshire,Other Identity Theft,513,25%
|
| 213 |
+
New Hampshire,Phone or Utilities,202,10%
|
| 214 |
+
New Jersey,Bank Account,"2,906",10%
|
| 215 |
+
New Jersey,Credit Card,"12,569",43%
|
| 216 |
+
New Jersey,Employment or Tax-Related,"2,052",7%
|
| 217 |
+
New Jersey,Government Documents or Benefits,"1,437",5%
|
| 218 |
+
New Jersey,Loan or Lease,"3,783",13%
|
| 219 |
+
New Jersey,Other Identity Theft,"8,571",30%
|
| 220 |
+
New Jersey,Phone or Utilities,"2,307",8%
|
| 221 |
+
New Mexico,Bank Account,417,13%
|
| 222 |
+
New Mexico,Credit Card,891,28%
|
| 223 |
+
New Mexico,Employment or Tax-Related,420,13%
|
| 224 |
+
New Mexico,Government Documents or Benefits,391,12%
|
| 225 |
+
New Mexico,Loan or Lease,514,16%
|
| 226 |
+
New Mexico,Other Identity Theft,922,29%
|
| 227 |
+
New Mexico,Phone or Utilities,290,9%
|
| 228 |
+
New York,Bank Account,"6,073",10%
|
| 229 |
+
New York,Credit Card,"26,736",46%
|
| 230 |
+
New York,Employment or Tax-Related,"2,652",5%
|
| 231 |
+
New York,Government Documents or Benefits,"4,275",7%
|
| 232 |
+
New York,Loan or Lease,"7,811",13%
|
| 233 |
+
New York,Other Identity Theft,"15,951",27%
|
| 234 |
+
New York,Phone or Utilities,"4,515",8%
|
| 235 |
+
North Carolina,Bank Account,"2,678",10%
|
| 236 |
+
North Carolina,Credit Card,"11,172",41%
|
| 237 |
+
North Carolina,Employment or Tax-Related,"1,681",6%
|
| 238 |
+
North Carolina,Government Documents or Benefits,"1,137",4%
|
| 239 |
+
North Carolina,Loan or Lease,"4,470",16%
|
| 240 |
+
North Carolina,Other Identity Theft,"9,664",35%
|
| 241 |
+
North Carolina,Phone or Utilities,"2,396",9%
|
| 242 |
+
North Dakota,Bank Account,127,14%
|
| 243 |
+
North Dakota,Credit Card,289,31%
|
| 244 |
+
North Dakota,Employment or Tax-Related,62,7%
|
| 245 |
+
North Dakota,Government Documents or Benefits,70,8%
|
| 246 |
+
North Dakota,Loan or Lease,180,19%
|
| 247 |
+
North Dakota,Other Identity Theft,286,31%
|
| 248 |
+
North Dakota,Phone or Utilities,86,9%
|
| 249 |
+
Ohio,Bank Account,"3,418",12%
|
| 250 |
+
Ohio,Credit Card,"10,311",37%
|
| 251 |
+
Ohio,Employment or Tax-Related,"1,369",5%
|
| 252 |
+
Ohio,Government Documents or Benefits,"2,867",10%
|
| 253 |
+
Ohio,Loan or Lease,"4,414",16%
|
| 254 |
+
Ohio,Other Identity Theft,"8,401",30%
|
| 255 |
+
Ohio,Phone or Utilities,"2,115",8%
|
| 256 |
+
Oklahoma,Bank Account,974,14%
|
| 257 |
+
Oklahoma,Credit Card,"2,079",31%
|
| 258 |
+
Oklahoma,Employment or Tax-Related,667,10%
|
| 259 |
+
Oklahoma,Government Documents or Benefits,469,7%
|
| 260 |
+
Oklahoma,Loan or Lease,"1,205",18%
|
| 261 |
+
Oklahoma,Other Identity Theft,"2,129",32%
|
| 262 |
+
Oklahoma,Phone or Utilities,671,10%
|
| 263 |
+
Oregon,Bank Account,"1,156",17%
|
| 264 |
+
Oregon,Credit Card,"2,217",32%
|
| 265 |
+
Oregon,Employment or Tax-Related,616,9%
|
| 266 |
+
Oregon,Government Documents or Benefits,643,9%
|
| 267 |
+
Oregon,Loan or Lease,"1,053",15%
|
| 268 |
+
Oregon,Other Identity Theft,"1,827",26%
|
| 269 |
+
Oregon,Phone or Utilities,840,12%
|
| 270 |
+
Pennsylvania,Bank Account,"4,762",13%
|
| 271 |
+
Pennsylvania,Credit Card,"16,639",44%
|
| 272 |
+
Pennsylvania,Employment or Tax-Related,"2,051",5%
|
| 273 |
+
Pennsylvania,Government Documents or Benefits,"2,070",5%
|
| 274 |
+
Pennsylvania,Loan or Lease,"4,839",13%
|
| 275 |
+
Pennsylvania,Other Identity Theft,"11,521",31%
|
| 276 |
+
Pennsylvania,Phone or Utilities,"2,837",8%
|
| 277 |
+
Puerto Rico,Bank Account,45,3%
|
| 278 |
+
Puerto Rico,Credit Card,545,33%
|
| 279 |
+
Puerto Rico,Employment or Tax-Related,523,32%
|
| 280 |
+
Puerto Rico,Government Documents or Benefits,76,5%
|
| 281 |
+
Puerto Rico,Loan or Lease,183,11%
|
| 282 |
+
Puerto Rico,Other Identity Theft,367,22%
|
| 283 |
+
Puerto Rico,Phone or Utilities,71,4%
|
| 284 |
+
Rhode Island,Bank Account,382,13%
|
| 285 |
+
Rhode Island,Credit Card,996,34%
|
| 286 |
+
Rhode Island,Employment or Tax-Related,174,6%
|
| 287 |
+
Rhode Island,Government Documents or Benefits,349,12%
|
| 288 |
+
Rhode Island,Loan or Lease,419,14%
|
| 289 |
+
Rhode Island,Other Identity Theft,808,28%
|
| 290 |
+
Rhode Island,Phone or Utilities,152,5%
|
| 291 |
+
South Carolina,Bank Account,"1,373",9%
|
| 292 |
+
South Carolina,Credit Card,"6,451",43%
|
| 293 |
+
South Carolina,Employment or Tax-Related,705,5%
|
| 294 |
+
South Carolina,Government Documents or Benefits,566,4%
|
| 295 |
+
South Carolina,Loan or Lease,"3,178",21%
|
| 296 |
+
South Carolina,Other Identity Theft,"4,831",32%
|
| 297 |
+
South Carolina,Phone or Utilities,"1,323",9%
|
| 298 |
+
South Dakota,Bank Account,139,16%
|
| 299 |
+
South Dakota,Credit Card,297,35%
|
| 300 |
+
South Dakota,Employment or Tax-Related,63,7%
|
| 301 |
+
South Dakota,Government Documents or Benefits,52,6%
|
| 302 |
+
South Dakota,Loan or Lease,159,19%
|
| 303 |
+
South Dakota,Other Identity Theft,218,26%
|
| 304 |
+
South Dakota,Phone or Utilities,78,9%
|
| 305 |
+
Tennessee,Bank Account,"1,621",11%
|
| 306 |
+
Tennessee,Credit Card,"5,445",37%
|
| 307 |
+
Tennessee,Employment or Tax-Related,932,6%
|
| 308 |
+
Tennessee,Government Documents or Benefits,"1,149",8%
|
| 309 |
+
Tennessee,Loan or Lease,"2,849",19%
|
| 310 |
+
Tennessee,Other Identity Theft,"4,628",31%
|
| 311 |
+
Tennessee,Phone or Utilities,"1,118",8%
|
| 312 |
+
Texas,Bank Account,"9,273",8%
|
| 313 |
+
Texas,Credit Card,"44,480",38%
|
| 314 |
+
Texas,Employment or Tax-Related,"6,846",6%
|
| 315 |
+
Texas,Government Documents or Benefits,"4,879",4%
|
| 316 |
+
Texas,Loan or Lease,"25,304",22%
|
| 317 |
+
Texas,Other Identity Theft,"37,984",33%
|
| 318 |
+
Texas,Phone or Utilities,"9,079",8%
|
| 319 |
+
Utah,Bank Account,675,13%
|
| 320 |
+
Utah,Credit Card,"1,730",33%
|
| 321 |
+
Utah,Employment or Tax-Related,489,9%
|
| 322 |
+
Utah,Government Documents or Benefits,453,9%
|
| 323 |
+
Utah,Loan or Lease,842,16%
|
| 324 |
+
Utah,Other Identity Theft,"1,552",30%
|
| 325 |
+
Utah,Phone or Utilities,410,8%
|
| 326 |
+
Vermont,Bank Account,120,18%
|
| 327 |
+
Vermont,Credit Card,219,34%
|
| 328 |
+
Vermont,Employment or Tax-Related,66,10%
|
| 329 |
+
Vermont,Government Documents or Benefits,52,8%
|
| 330 |
+
Vermont,Loan or Lease,110,17%
|
| 331 |
+
Vermont,Other Identity Theft,133,20%
|
| 332 |
+
Vermont,Phone or Utilities,53,8%
|
| 333 |
+
Virginia,Bank Account,"2,699",15%
|
| 334 |
+
Virginia,Credit Card,"7,245",39%
|
| 335 |
+
Virginia,Employment or Tax-Related,"1,198",6%
|
| 336 |
+
Virginia,Government Documents or Benefits,904,5%
|
| 337 |
+
Virginia,Loan or Lease,"2,775",15%
|
| 338 |
+
Virginia,Other Identity Theft,"5,674",31%
|
| 339 |
+
Virginia,Phone or Utilities,"1,491",8%
|
| 340 |
+
Washington,Bank Account,"2,318",18%
|
| 341 |
+
Washington,Credit Card,"4,420",34%
|
| 342 |
+
Washington,Employment or Tax-Related,"1,130",9%
|
| 343 |
+
Washington,Government Documents or Benefits,"1,274",10%
|
| 344 |
+
Washington,Loan or Lease,"2,049",16%
|
| 345 |
+
Washington,Other Identity Theft,"3,560",27%
|
| 346 |
+
Washington,Phone or Utilities,997,8%
|
| 347 |
+
West Virginia,Bank Account,343,17%
|
| 348 |
+
West Virginia,Credit Card,610,30%
|
| 349 |
+
West Virginia,Employment or Tax-Related,193,10%
|
| 350 |
+
West Virginia,Government Documents or Benefits,123,6%
|
| 351 |
+
West Virginia,Loan or Lease,295,15%
|
| 352 |
+
West Virginia,Other Identity Theft,627,31%
|
| 353 |
+
West Virginia,Phone or Utilities,183,9%
|
| 354 |
+
Wisconsin,Bank Account,"1,288",15%
|
| 355 |
+
Wisconsin,Credit Card,"3,050",35%
|
| 356 |
+
Wisconsin,Employment or Tax-Related,796,9%
|
| 357 |
+
Wisconsin,Government Documents or Benefits,567,6%
|
| 358 |
+
Wisconsin,Loan or Lease,"1,588",18%
|
| 359 |
+
Wisconsin,Other Identity Theft,"2,525",29%
|
| 360 |
+
Wisconsin,Phone or Utilities,787,9%
|
| 361 |
+
Wyoming,Bank Account,96,14%
|
| 362 |
+
Wyoming,Credit Card,186,27%
|
| 363 |
+
Wyoming,Employment or Tax-Related,59,8%
|
| 364 |
+
Wyoming,Government Documents or Benefits,30,4%
|
| 365 |
+
Wyoming,Loan or Lease,148,21%
|
| 366 |
+
Wyoming,Other Identity Theft,223,32%
|
| 367 |
+
Wyoming,Phone or Utilities,59,8%
|
| 368 |
+
,,,
|
| 369 |
+
Percentages are based on the total number of 2024 Identity Theft reports from the corresponding state's consumers. Consumers can report multiple types of identity theft.,,,
|
| 370 |
+
,,,
|
| 371 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Rankings_Fraud_and_Other_Reports.csv
ADDED
|
@@ -0,0 +1,59 @@
|
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|
| 1 |
+
State Rankings: Fraud and Other Reports,,,
|
| 2 |
+
,,,
|
| 3 |
+
Rank,State,Reports per 100K Population,# of Reports
|
| 4 |
+
1,Florida,"2,163","474,314"
|
| 5 |
+
2,Georgia,"2,108","228,132"
|
| 6 |
+
3,Delaware,"1,876","18,870"
|
| 7 |
+
4,Nevada,"1,867","58,640"
|
| 8 |
+
5,Maryland,"1,799","111,041"
|
| 9 |
+
6,Texas,"1,561","462,667"
|
| 10 |
+
7,South Carolina,"1,536","80,070"
|
| 11 |
+
8,New Jersey,"1,506","139,551"
|
| 12 |
+
9,Louisiana,"1,472","68,025"
|
| 13 |
+
10,Illinois,"1,469","186,426"
|
| 14 |
+
11,Arizona,"1,459","106,023"
|
| 15 |
+
12,Pennsylvania,"1,419","184,269"
|
| 16 |
+
13,New York,"1,402","278,662"
|
| 17 |
+
14,Alabama,"1,388","70,132"
|
| 18 |
+
15,North Carolina,"1,369","144,909"
|
| 19 |
+
16,Virginia,"1,361","117,836"
|
| 20 |
+
17,California,"1,291","506,727"
|
| 21 |
+
18,Colorado,"1,260","73,231"
|
| 22 |
+
19,Mississippi,"1,221","36,023"
|
| 23 |
+
20,Connecticut,"1,220","43,890"
|
| 24 |
+
21,Tennessee,"1,188","83,027"
|
| 25 |
+
22,Missouri,"1,169","72,120"
|
| 26 |
+
23,Michigan,"1,167","117,326"
|
| 27 |
+
24,Massachusetts,"1,165","81,434"
|
| 28 |
+
25,Washington,"1,134","87,780"
|
| 29 |
+
26,Ohio,"1,115","131,319"
|
| 30 |
+
27,Oregon,"1,090","46,207"
|
| 31 |
+
28,Rhode Island,"1,075","11,776"
|
| 32 |
+
29,Indiana,"1,071","72,938"
|
| 33 |
+
30,New Hampshire,"1,033","14,342"
|
| 34 |
+
31,Alaska,992,"7,279"
|
| 35 |
+
32,New Mexico,991,"20,966"
|
| 36 |
+
33,Hawaii,980,"14,163"
|
| 37 |
+
34,Arkansas,971,"29,453"
|
| 38 |
+
35,Wisconsin,908,"53,520"
|
| 39 |
+
36,Vermont,908,"5,860"
|
| 40 |
+
37,Oklahoma,908,"36,266"
|
| 41 |
+
38,Utah,906,"30,185"
|
| 42 |
+
39,Minnesota,906,"51,773"
|
| 43 |
+
40,Wyoming,899,"5,212"
|
| 44 |
+
41,Nebraska,887,"17,438"
|
| 45 |
+
42,Maine,879,"12,106"
|
| 46 |
+
43,Montana,873,"9,651"
|
| 47 |
+
44,Kentucky,859,"38,739"
|
| 48 |
+
45,Idaho,849,"16,080"
|
| 49 |
+
46,Kansas,848,"24,924"
|
| 50 |
+
47,West Virginia,836,"14,911"
|
| 51 |
+
48,Iowa,715,"22,855"
|
| 52 |
+
49,North Dakota,696,"5,425"
|
| 53 |
+
50,South Dakota,676,"6,081"
|
| 54 |
+
,District of Columbia,"2,509","16,860"
|
| 55 |
+
,Puerto Rico,376,"12,252"
|
| 56 |
+
,,,
|
| 57 |
+
"The District of Columbia and Puerto Rico are included in the table but are not ranked.� States are ranked based on the number of reports per 100,000 populations. Population estimates are based on 2023 U.S. Census population estimates. Ranking excludes state-specific data contributor reports.� ",,,
|
| 58 |
+
,,,
|
| 59 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Rankings_Identity_Theft_Reports.csv
ADDED
|
@@ -0,0 +1,59 @@
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|
| 1 |
+
State Rankings: Identity Theft Reports,,,
|
| 2 |
+
,,,
|
| 3 |
+
Rank,State,Reports per 100K Population,# of Reports
|
| 4 |
+
1,Florida,528,"115,840"
|
| 5 |
+
2,Georgia,517,"55,955"
|
| 6 |
+
3,Nevada,466,"14,631"
|
| 7 |
+
4,Texas,393,"116,484"
|
| 8 |
+
5,Delaware,392,"3,942"
|
| 9 |
+
6,Massachusetts,388,"27,141"
|
| 10 |
+
7,California,356,"139,665"
|
| 11 |
+
8,Louisiana,346,"15,991"
|
| 12 |
+
9,Illinois,339,"43,028"
|
| 13 |
+
10,Maryland,324,"19,990"
|
| 14 |
+
11,New Jersey,313,"29,037"
|
| 15 |
+
12,New York,295,"58,692"
|
| 16 |
+
13,South Carolina,291,"15,146"
|
| 17 |
+
14,Pennsylvania,290,"37,717"
|
| 18 |
+
15,Arizona,287,"20,863"
|
| 19 |
+
16,Alabama,269,"13,596"
|
| 20 |
+
17,Mississippi,268,"7,903"
|
| 21 |
+
18,Rhode Island,264,"2,896"
|
| 22 |
+
19,North Carolina,259,"27,466"
|
| 23 |
+
20,Michigan,237,"23,783"
|
| 24 |
+
21,Connecticut,236,"8,502"
|
| 25 |
+
22,Ohio,236,"27,766"
|
| 26 |
+
23,Virginia,213,"18,460"
|
| 27 |
+
24,Tennessee,212,"14,829"
|
| 28 |
+
25,Arkansas,209,"6,340"
|
| 29 |
+
26,Colorado,208,"12,087"
|
| 30 |
+
27,Indiana,198,"13,471"
|
| 31 |
+
28,Missouri,187,"11,535"
|
| 32 |
+
29,Oklahoma,169,"6,747"
|
| 33 |
+
30,Washington,169,"13,068"
|
| 34 |
+
31,Oregon,163,"6,898"
|
| 35 |
+
32,Utah,157,"5,224"
|
| 36 |
+
33,Kansas,154,"4,518"
|
| 37 |
+
34,New Mexico,150,"3,171"
|
| 38 |
+
35,New Hampshire,150,"2,079"
|
| 39 |
+
36,Wisconsin,149,"8,798"
|
| 40 |
+
37,Kentucky,142,"6,396"
|
| 41 |
+
38,Hawaii,138,"1,990"
|
| 42 |
+
39,Montana,131,"1,447"
|
| 43 |
+
40,Nebraska,130,"2,554"
|
| 44 |
+
41,Minnesota,127,"7,280"
|
| 45 |
+
42,Maine,127,"1,746"
|
| 46 |
+
43,Idaho,125,"2,367"
|
| 47 |
+
44,Iowa,123,"3,919"
|
| 48 |
+
45,Wyoming,120,697
|
| 49 |
+
46,North Dakota,119,924
|
| 50 |
+
47,West Virginia,113,"2,017"
|
| 51 |
+
48,Alaska,106,780
|
| 52 |
+
49,Vermont,101,651
|
| 53 |
+
50,South Dakota,94,845
|
| 54 |
+
,District of Columbia,480,"3,225"
|
| 55 |
+
,Puerto Rico,51,"1,649"
|
| 56 |
+
,,,
|
| 57 |
+
"The District of Columbia and Puerto Rico are included in the table but are not ranked.� States are ranked based on the number of reports per 100,000 populations. Population estimates are based on 2023 U.S. Census population estimates.",,,
|
| 58 |
+
,,,
|
| 59 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Top_Ten_Report_Categories.csv
ADDED
|
@@ -0,0 +1,527 @@
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|
|
|
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|
|
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|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
State: Top Ten Report Categories,,,
|
| 2 |
+
,,,
|
| 3 |
+
State,Category,# of Reports,Percentage
|
| 4 |
+
Alabama,Credit Bureaus and Information Furnishers,"26,474",32%
|
| 5 |
+
Alabama,Identity Theft,"13,596",16%
|
| 6 |
+
Alabama,Imposter Scams,"8,302",10%
|
| 7 |
+
Alabama,Banks and Lenders,"4,117",5%
|
| 8 |
+
Alabama,Debt Collection,"4,068",5%
|
| 9 |
+
Alabama,Online Shopping and Negative Reviews,"3,931",5%
|
| 10 |
+
Alabama,Auto Related,"2,314",3%
|
| 11 |
+
Alabama,"Prizes, Sweepstakes and Lotteries","1,923",2%
|
| 12 |
+
Alabama,Internet Services,"1,643",2%
|
| 13 |
+
Alabama,Credit Cards,1358,2%
|
| 14 |
+
Alaska,Imposter Scams,1850,23%
|
| 15 |
+
Alaska,Identity Theft,780,10%
|
| 16 |
+
Alaska,Online Shopping and Negative Reviews,663,8%
|
| 17 |
+
Alaska,Credit Bureaus and Information Furnishers,544,7%
|
| 18 |
+
Alaska,Banks and Lenders,505,6%
|
| 19 |
+
Alaska,Internet Services,363,5%
|
| 20 |
+
Alaska,"Privacy, Data Security, and Cyber Threats",289,4%
|
| 21 |
+
Alaska,Auto Related,255,3%
|
| 22 |
+
Alaska,Investment Related,248,3%
|
| 23 |
+
Alaska,"Prizes, Sweepstakes and Lotteries",235,3%
|
| 24 |
+
Arizona,Identity Theft,"20,863",16%
|
| 25 |
+
Arizona,Credit Bureaus and Information Furnishers,"20,673",16%
|
| 26 |
+
Arizona,Imposter Scams,"17,681",14%
|
| 27 |
+
Arizona,Online Shopping and Negative Reviews,"7,198",6%
|
| 28 |
+
Arizona,Banks and Lenders,"7,110",6%
|
| 29 |
+
Arizona,Auto Related,"4,483",4%
|
| 30 |
+
Arizona,Debt Collection,"4,396",3%
|
| 31 |
+
Arizona,Health Care,"3,207",3%
|
| 32 |
+
Arizona,Internet Services,"2,831",2%
|
| 33 |
+
Arizona,Business and Job Opportunities,"2,803",2%
|
| 34 |
+
Arkansas,Credit Bureaus and Information Furnishers,"6,533",18%
|
| 35 |
+
Arkansas,Identity Theft,"6,340",18%
|
| 36 |
+
Arkansas,Imposter Scams,"4,821",13%
|
| 37 |
+
Arkansas,Banks and Lenders,"2,173",6%
|
| 38 |
+
Arkansas,Online Shopping and Negative Reviews,2124,6%
|
| 39 |
+
Arkansas,Debt Collection,1546,4%
|
| 40 |
+
Arkansas,Auto Related,1200,3%
|
| 41 |
+
Arkansas,"Prizes, Sweepstakes and Lotteries",1055,3%
|
| 42 |
+
Arkansas,Internet Services,857,2%
|
| 43 |
+
Arkansas,Credit Cards,751,2%
|
| 44 |
+
California,Identity Theft,"139,665",22%
|
| 45 |
+
California,Credit Bureaus and Information Furnishers,"128,620",20%
|
| 46 |
+
California,Imposter Scams,"71,839",11%
|
| 47 |
+
California,Banks and Lenders,"40,233",6%
|
| 48 |
+
California,Online Shopping and Negative Reviews,"35,661",6%
|
| 49 |
+
California,Debt Collection,"19,443",3%
|
| 50 |
+
California,Auto Related,"17,432",3%
|
| 51 |
+
California,Credit Cards,"16,173",3%
|
| 52 |
+
California,Internet Services,"15,953",2%
|
| 53 |
+
California,"Privacy, Data Security, and Cyber Threats","12,836",2%
|
| 54 |
+
Colorado,Imposter Scams,"15,028",18%
|
| 55 |
+
Colorado,Identity Theft,"12,087",14%
|
| 56 |
+
Colorado,Online Shopping and Negative Reviews,"6,536",8%
|
| 57 |
+
Colorado,Credit Bureaus and Information Furnishers,"6,421",8%
|
| 58 |
+
Colorado,Banks and Lenders,"6,231",7%
|
| 59 |
+
Colorado,Auto Related,"3,277",4%
|
| 60 |
+
Colorado,Internet Services,"2,492",3%
|
| 61 |
+
Colorado,Health Care,"2,332",3%
|
| 62 |
+
Colorado,"Privacy, Data Security, and Cyber Threats","2,322",3%
|
| 63 |
+
Colorado,Debt Collection,"2,289",3%
|
| 64 |
+
Connecticut,Credit Bureaus and Information Furnishers,"9,952",19%
|
| 65 |
+
Connecticut,Identity Theft,"8,502",16%
|
| 66 |
+
Connecticut,Imposter Scams,"6,640",13%
|
| 67 |
+
Connecticut,Banks and Lenders,"3,715",7%
|
| 68 |
+
Connecticut,Online Shopping and Negative Reviews,"3,565",7%
|
| 69 |
+
Connecticut,Auto Related,"2,096",4%
|
| 70 |
+
Connecticut,Debt Collection,"1,747",3%
|
| 71 |
+
Connecticut,Credit Cards,1494,3%
|
| 72 |
+
Connecticut,Internet Services,1374,3%
|
| 73 |
+
Connecticut,Health Care,1150,2%
|
| 74 |
+
Delaware,Credit Bureaus and Information Furnishers,"6,110",27%
|
| 75 |
+
Delaware,Identity Theft,"3,942",17%
|
| 76 |
+
Delaware,Imposter Scams,2398,11%
|
| 77 |
+
Delaware,Banks and Lenders,1417,6%
|
| 78 |
+
Delaware,Online Shopping and Negative Reviews,1322,6%
|
| 79 |
+
Delaware,Debt Collection,984,4%
|
| 80 |
+
Delaware,Auto Related,699,3%
|
| 81 |
+
Delaware,Credit Cards,586,3%
|
| 82 |
+
Delaware,Internet Services,537,2%
|
| 83 |
+
Delaware,Health Care,402,2%
|
| 84 |
+
District of Columbia,Credit Bureaus and Information Furnishers,"4,655",23%
|
| 85 |
+
District of Columbia,Identity Theft,"3,225",16%
|
| 86 |
+
District of Columbia,Imposter Scams,2227,11%
|
| 87 |
+
District of Columbia,Banks and Lenders,1757,9%
|
| 88 |
+
District of Columbia,Online Shopping and Negative Reviews,1070,5%
|
| 89 |
+
District of Columbia,Credit Cards,698,3%
|
| 90 |
+
District of Columbia,Internet Services,657,3%
|
| 91 |
+
District of Columbia,Debt Collection,630,3%
|
| 92 |
+
District of Columbia,Auto Related,553,3%
|
| 93 |
+
District of Columbia,"Privacy, Data Security, and Cyber Threats",448,2%
|
| 94 |
+
Florida,Credit Bureaus and Information Furnishers,"204,463",35%
|
| 95 |
+
Florida,Identity Theft,"115,840",20%
|
| 96 |
+
Florida,Imposter Scams,"47,355",8%
|
| 97 |
+
Florida,Banks and Lenders,"25,838",4%
|
| 98 |
+
Florida,Debt Collection,"23,317",4%
|
| 99 |
+
Florida,Online Shopping and Negative Reviews,"22,745",4%
|
| 100 |
+
Florida,Auto Related,"16,394",3%
|
| 101 |
+
Florida,Credit Cards,"10,958",2%
|
| 102 |
+
Florida,Internet Services,"10,153",2%
|
| 103 |
+
Florida,Health Care,"10,019",2%
|
| 104 |
+
Georgia,Credit Bureaus and Information Furnishers,"100,029",35%
|
| 105 |
+
Georgia,Identity Theft,"55,955",20%
|
| 106 |
+
Georgia,Imposter Scams,"18,745",7%
|
| 107 |
+
Georgia,Debt Collection,"16,314",6%
|
| 108 |
+
Georgia,Banks and Lenders,"14,846",5%
|
| 109 |
+
Georgia,Online Shopping and Negative Reviews,"9,940",3%
|
| 110 |
+
Georgia,Auto Related,"7,864",3%
|
| 111 |
+
Georgia,Credit Cards,"5,622",2%
|
| 112 |
+
Georgia,Internet Services,"5,399",2%
|
| 113 |
+
Georgia,Business and Job Opportunities,"4,329",2%
|
| 114 |
+
Hawaii,Imposter Scams,"3,235",20%
|
| 115 |
+
Hawaii,Identity Theft,"1,990",12%
|
| 116 |
+
Hawaii,Credit Bureaus and Information Furnishers,1792,11%
|
| 117 |
+
Hawaii,Online Shopping and Negative Reviews,1236,8%
|
| 118 |
+
Hawaii,Banks and Lenders,1049,6%
|
| 119 |
+
Hawaii,Investment Related,531,3%
|
| 120 |
+
Hawaii,Auto Related,469,3%
|
| 121 |
+
Hawaii,Internet Services,426,3%
|
| 122 |
+
Hawaii,"Prizes, Sweepstakes and Lotteries",412,3%
|
| 123 |
+
Hawaii,"Privacy, Data Security, and Cyber Threats",407,3%
|
| 124 |
+
Idaho,Imposter Scams,"3,557",19%
|
| 125 |
+
Idaho,Identity Theft,"2,367",13%
|
| 126 |
+
Idaho,Online Shopping and Negative Reviews,1656,9%
|
| 127 |
+
Idaho,Banks and Lenders,1309,7%
|
| 128 |
+
Idaho,Credit Bureaus and Information Furnishers,1121,6%
|
| 129 |
+
Idaho,Auto Related,654,4%
|
| 130 |
+
Idaho,"Prizes, Sweepstakes and Lotteries",637,3%
|
| 131 |
+
Idaho,"Privacy, Data Security, and Cyber Threats",551,3%
|
| 132 |
+
Idaho,Debt Collection,536,3%
|
| 133 |
+
Idaho,Business and Job Opportunities,488,3%
|
| 134 |
+
Illinois,Credit Bureaus and Information Furnishers,"66,249",29%
|
| 135 |
+
Illinois,Identity Theft,"43,028",19%
|
| 136 |
+
Illinois,Imposter Scams,"21,393",9%
|
| 137 |
+
Illinois,Banks and Lenders,"13,278",6%
|
| 138 |
+
Illinois,Online Shopping and Negative Reviews,"11,434",5%
|
| 139 |
+
Illinois,Debt Collection,"8,757",4%
|
| 140 |
+
Illinois,Auto Related,"7,315",3%
|
| 141 |
+
Illinois,Internet Services,"4,970",2%
|
| 142 |
+
Illinois,Credit Cards,"4,627",2%
|
| 143 |
+
Illinois,Health Care,"4,202",2%
|
| 144 |
+
Indiana,Credit Bureaus and Information Furnishers,"16,575",19%
|
| 145 |
+
Indiana,Identity Theft,"13,471",16%
|
| 146 |
+
Indiana,Imposter Scams,"11,822",14%
|
| 147 |
+
Indiana,Online Shopping and Negative Reviews,"5,307",6%
|
| 148 |
+
Indiana,Banks and Lenders,"5,288",6%
|
| 149 |
+
Indiana,Debt Collection,"3,322",4%
|
| 150 |
+
Indiana,Auto Related,"2,901",3%
|
| 151 |
+
Indiana,Health Care,"2,159",2%
|
| 152 |
+
Indiana,Internet Services,"2,131",2%
|
| 153 |
+
Indiana,"Prizes, Sweepstakes and Lotteries",1785,2%
|
| 154 |
+
Iowa,Imposter Scams,"5,009",19%
|
| 155 |
+
Iowa,Identity Theft,"3,919",15%
|
| 156 |
+
Iowa,Online Shopping and Negative Reviews,"2,265",8%
|
| 157 |
+
Iowa,Banks and Lenders,2197,8%
|
| 158 |
+
Iowa,Credit Bureaus and Information Furnishers,2184,8%
|
| 159 |
+
Iowa,Debt Collection,864,3%
|
| 160 |
+
Iowa,Auto Related,828,3%
|
| 161 |
+
Iowa,"Prizes, Sweepstakes and Lotteries",759,3%
|
| 162 |
+
Iowa,Internet Services,745,3%
|
| 163 |
+
Iowa,Credit Cards,609,2%
|
| 164 |
+
Kansas,Imposter Scams,"5,163",18%
|
| 165 |
+
Kansas,Identity Theft,"4,518",15%
|
| 166 |
+
Kansas,Credit Bureaus and Information Furnishers,"2,589",9%
|
| 167 |
+
Kansas,Online Shopping and Negative Reviews,"2,099",7%
|
| 168 |
+
Kansas,Banks and Lenders,2011,7%
|
| 169 |
+
Kansas,Auto Related,1177,4%
|
| 170 |
+
Kansas,Debt Collection,1155,4%
|
| 171 |
+
Kansas,"Prizes, Sweepstakes and Lotteries",821,3%
|
| 172 |
+
Kansas,Internet Services,785,3%
|
| 173 |
+
Kansas,Health Care,769,3%
|
| 174 |
+
Kentucky,Imposter Scams,"7,049",16%
|
| 175 |
+
Kentucky,Identity Theft,"6,396",14%
|
| 176 |
+
Kentucky,Credit Bureaus and Information Furnishers,"4,864",11%
|
| 177 |
+
Kentucky,Online Shopping and Negative Reviews,"3,636",8%
|
| 178 |
+
Kentucky,Banks and Lenders,"3,190",7%
|
| 179 |
+
Kentucky,Auto Related,"1,808",4%
|
| 180 |
+
Kentucky,Debt Collection,"1,627",4%
|
| 181 |
+
Kentucky,"Prizes, Sweepstakes and Lotteries","1,386",3%
|
| 182 |
+
Kentucky,Internet Services,1353,3%
|
| 183 |
+
Kentucky,Health Care,1158,3%
|
| 184 |
+
Louisiana,Credit Bureaus and Information Furnishers,"31,365",37%
|
| 185 |
+
Louisiana,Identity Theft,"15,991",19%
|
| 186 |
+
Louisiana,Imposter Scams,"6,691",8%
|
| 187 |
+
Louisiana,Debt Collection,"4,349",5%
|
| 188 |
+
Louisiana,Banks and Lenders,"3,792",5%
|
| 189 |
+
Louisiana,Online Shopping and Negative Reviews,"2,968",4%
|
| 190 |
+
Louisiana,Auto Related,"1,974",2%
|
| 191 |
+
Louisiana,Credit Cards,"1,462",2%
|
| 192 |
+
Louisiana,Internet Services,1326,2%
|
| 193 |
+
Louisiana,"Prizes, Sweepstakes and Lotteries",1059,1%
|
| 194 |
+
Maine,Imposter Scams,"2,782",20%
|
| 195 |
+
Maine,Identity Theft,1746,13%
|
| 196 |
+
Maine,Online Shopping and Negative Reviews,1279,9%
|
| 197 |
+
Maine,Banks and Lenders,1103,8%
|
| 198 |
+
Maine,Credit Bureaus and Information Furnishers,709,5%
|
| 199 |
+
Maine,Auto Related,480,3%
|
| 200 |
+
Maine,Internet Services,404,3%
|
| 201 |
+
Maine,Health Care,383,3%
|
| 202 |
+
Maine,"Prizes, Sweepstakes and Lotteries",378,3%
|
| 203 |
+
Maine,"Privacy, Data Security, and Cyber Threats",324,2%
|
| 204 |
+
Maryland,Credit Bureaus and Information Furnishers,"36,749",28%
|
| 205 |
+
Maryland,Identity Theft,"19,990",15%
|
| 206 |
+
Maryland,Imposter Scams,"14,288",11%
|
| 207 |
+
Maryland,Banks and Lenders,"9,265",7%
|
| 208 |
+
Maryland,Online Shopping and Negative Reviews,"6,598",5%
|
| 209 |
+
Maryland,Debt Collection,"5,036",4%
|
| 210 |
+
Maryland,Auto Related,"4,145",3%
|
| 211 |
+
Maryland,Credit Cards,"3,107",2%
|
| 212 |
+
Maryland,Internet Services,"2,818",2%
|
| 213 |
+
Maryland,Business and Job Opportunities,"2,248",2%
|
| 214 |
+
Massachusetts,Identity Theft,"27,141",25%
|
| 215 |
+
Massachusetts,Credit Bureaus and Information Furnishers,"18,277",17%
|
| 216 |
+
Massachusetts,Imposter Scams,"14,482",13%
|
| 217 |
+
Massachusetts,Online Shopping and Negative Reviews,"6,920",6%
|
| 218 |
+
Massachusetts,Banks and Lenders,"6,774",6%
|
| 219 |
+
Massachusetts,Auto Related,"3,112",3%
|
| 220 |
+
Massachusetts,Internet Services,"2,494",2%
|
| 221 |
+
Massachusetts,Credit Cards,"2,490",2%
|
| 222 |
+
Massachusetts,Debt Collection,"2,275",2%
|
| 223 |
+
Massachusetts,Health Care,"2,014",2%
|
| 224 |
+
Michigan,Credit Bureaus and Information Furnishers,"30,606",22%
|
| 225 |
+
Michigan,Identity Theft,"23,783",17%
|
| 226 |
+
Michigan,Imposter Scams,"17,745",13%
|
| 227 |
+
Michigan,Banks and Lenders,"9,319",7%
|
| 228 |
+
Michigan,Online Shopping and Negative Reviews,"8,413",6%
|
| 229 |
+
Michigan,Debt Collection,"6,135",4%
|
| 230 |
+
Michigan,Auto Related,"4,311",3%
|
| 231 |
+
Michigan,Internet Services,"3,490",2%
|
| 232 |
+
Michigan,Credit Cards,"2,886",2%
|
| 233 |
+
Michigan,"Prizes, Sweepstakes and Lotteries","2,670",2%
|
| 234 |
+
Minnesota,Imposter Scams,"11,413",19%
|
| 235 |
+
Minnesota,Identity Theft,"7,280",12%
|
| 236 |
+
Minnesota,Credit Bureaus and Information Furnishers,"5,671",10%
|
| 237 |
+
Minnesota,Online Shopping and Negative Reviews,"4,790",8%
|
| 238 |
+
Minnesota,Banks and Lenders,"4,716",8%
|
| 239 |
+
Minnesota,Auto Related,"1,915",3%
|
| 240 |
+
Minnesota,Debt Collection,"1,804",3%
|
| 241 |
+
Minnesota,Internet Services,1638,3%
|
| 242 |
+
Minnesota,"Prizes, Sweepstakes and Lotteries",1514,3%
|
| 243 |
+
Minnesota,Health Care,1487,3%
|
| 244 |
+
Mississippi,Credit Bureaus and Information Furnishers,"14,024",32%
|
| 245 |
+
Mississippi,Identity Theft,"7,903",18%
|
| 246 |
+
Mississippi,Imposter Scams,"4,201",10%
|
| 247 |
+
Mississippi,Banks and Lenders,"2,322",5%
|
| 248 |
+
Mississippi,Debt Collection,"1,953",4%
|
| 249 |
+
Mississippi,Online Shopping and Negative Reviews,"1,831",4%
|
| 250 |
+
Mississippi,Auto Related,1370,3%
|
| 251 |
+
Mississippi,"Prizes, Sweepstakes and Lotteries",910,2%
|
| 252 |
+
Mississippi,Credit Cards,794,2%
|
| 253 |
+
Mississippi,Internet Services,731,2%
|
| 254 |
+
Missouri,Credit Bureaus and Information Furnishers,"14,586",17%
|
| 255 |
+
Missouri,Identity Theft,"11,535",14%
|
| 256 |
+
Missouri,Imposter Scams,"11,039",13%
|
| 257 |
+
Missouri,Online Shopping and Negative Reviews,"5,515",7%
|
| 258 |
+
Missouri,Banks and Lenders,"5,126",6%
|
| 259 |
+
Missouri,Auto Related,"3,710",4%
|
| 260 |
+
Missouri,Debt Collection,"3,666",4%
|
| 261 |
+
Missouri,Internet Services,"2,489",3%
|
| 262 |
+
Missouri,Health Care,"2,064",2%
|
| 263 |
+
Missouri,"Prizes, Sweepstakes and Lotteries",1973,2%
|
| 264 |
+
Montana,Imposter Scams,"2,375",21%
|
| 265 |
+
Montana,Identity Theft,1447,13%
|
| 266 |
+
Montana,Online Shopping and Negative Reviews,1037,9%
|
| 267 |
+
Montana,Banks and Lenders,846,8%
|
| 268 |
+
Montana,"Prizes, Sweepstakes and Lotteries",463,4%
|
| 269 |
+
Montana,Auto Related,363,3%
|
| 270 |
+
Montana,Credit Bureaus and Information Furnishers,353,3%
|
| 271 |
+
Montana,"Privacy, Data Security, and Cyber Threats",316,3%
|
| 272 |
+
Montana,Internet Services,304,3%
|
| 273 |
+
Montana,Health Care,291,3%
|
| 274 |
+
Nebraska,Imposter Scams,"3,534",18%
|
| 275 |
+
Nebraska,Credit Bureaus and Information Furnishers,"2,974",15%
|
| 276 |
+
Nebraska,Identity Theft,2554,13%
|
| 277 |
+
Nebraska,Online Shopping and Negative Reviews,1337,7%
|
| 278 |
+
Nebraska,Banks and Lenders,1328,7%
|
| 279 |
+
Nebraska,Debt Collection,773,4%
|
| 280 |
+
Nebraska,Auto Related,633,3%
|
| 281 |
+
Nebraska,Credit Cards,539,3%
|
| 282 |
+
Nebraska,Internet Services,532,3%
|
| 283 |
+
Nebraska,"Prizes, Sweepstakes and Lotteries",492,2%
|
| 284 |
+
Nevada,Credit Bureaus and Information Furnishers,"18,124",25%
|
| 285 |
+
Nevada,Identity Theft,"14,631",20%
|
| 286 |
+
Nevada,Imposter Scams,"7,227",10%
|
| 287 |
+
Nevada,Banks and Lenders,"3,890",5%
|
| 288 |
+
Nevada,Debt Collection,"3,336",5%
|
| 289 |
+
Nevada,Online Shopping and Negative Reviews,"3,335",5%
|
| 290 |
+
Nevada,Auto Related,"2,456",3%
|
| 291 |
+
Nevada,Credit Cards,"1,751",2%
|
| 292 |
+
Nevada,Business and Job Opportunities,1510,2%
|
| 293 |
+
Nevada,Internet Services,1482,2%
|
| 294 |
+
New Hampshire,Imposter Scams,"3,083",19%
|
| 295 |
+
New Hampshire,Identity Theft,"2,079",13%
|
| 296 |
+
New Hampshire,Online Shopping and Negative Reviews,1648,10%
|
| 297 |
+
New Hampshire,Credit Bureaus and Information Furnishers,1328,8%
|
| 298 |
+
New Hampshire,Banks and Lenders,1214,7%
|
| 299 |
+
New Hampshire,Auto Related,650,4%
|
| 300 |
+
New Hampshire,Internet Services,497,3%
|
| 301 |
+
New Hampshire,Health Care,491,3%
|
| 302 |
+
New Hampshire,"Privacy, Data Security, and Cyber Threats",403,2%
|
| 303 |
+
New Hampshire,Debt Collection,357,2%
|
| 304 |
+
New Jersey,Credit Bureaus and Information Furnishers,"44,589",26%
|
| 305 |
+
New Jersey,Identity Theft,"29,037",17%
|
| 306 |
+
New Jersey,Imposter Scams,"17,094",10%
|
| 307 |
+
New Jersey,Banks and Lenders,"10,447",6%
|
| 308 |
+
New Jersey,Online Shopping and Negative Reviews,"8,879",5%
|
| 309 |
+
New Jersey,Debt Collection,"5,709",3%
|
| 310 |
+
New Jersey,Auto Related,"5,078",3%
|
| 311 |
+
New Jersey,Credit Cards,"4,282",3%
|
| 312 |
+
New Jersey,Internet Services,"3,967",2%
|
| 313 |
+
New Jersey,Health Care,"3,089",2%
|
| 314 |
+
New Mexico,Imposter Scams,"4,630",19%
|
| 315 |
+
New Mexico,Identity Theft,"3,171",13%
|
| 316 |
+
New Mexico,Credit Bureaus and Information Furnishers,2276,9%
|
| 317 |
+
New Mexico,Online Shopping and Negative Reviews,1717,7%
|
| 318 |
+
New Mexico,Banks and Lenders,1579,7%
|
| 319 |
+
New Mexico,Auto Related,959,4%
|
| 320 |
+
New Mexico,"Prizes, Sweepstakes and Lotteries",763,3%
|
| 321 |
+
New Mexico,Debt Collection,743,3%
|
| 322 |
+
New Mexico,Health Care,689,3%
|
| 323 |
+
New Mexico,"Privacy, Data Security, and Cyber Threats",684,3%
|
| 324 |
+
New York,Credit Bureaus and Information Furnishers,"85,519",25%
|
| 325 |
+
New York,Identity Theft,"58,692",17%
|
| 326 |
+
New York,Imposter Scams,"37,038",11%
|
| 327 |
+
New York,Online Shopping and Negative Reviews,"19,999",6%
|
| 328 |
+
New York,Banks and Lenders,"19,963",6%
|
| 329 |
+
New York,Debt Collection,"9,594",3%
|
| 330 |
+
New York,Internet Services,"9,234",3%
|
| 331 |
+
New York,Credit Cards,"8,795",3%
|
| 332 |
+
New York,Auto Related,"8,728",3%
|
| 333 |
+
New York,Health Care,"6,443",2%
|
| 334 |
+
North Carolina,Credit Bureaus and Information Furnishers,"42,508",25%
|
| 335 |
+
North Carolina,Identity Theft,"27,466",16%
|
| 336 |
+
North Carolina,Imposter Scams,"20,152",12%
|
| 337 |
+
North Carolina,Banks and Lenders,"10,012",6%
|
| 338 |
+
North Carolina,Online Shopping and Negative Reviews,"9,995",6%
|
| 339 |
+
North Carolina,Debt Collection,"6,955",4%
|
| 340 |
+
North Carolina,Auto Related,"5,503",3%
|
| 341 |
+
North Carolina,Internet Services,"3,875",2%
|
| 342 |
+
North Carolina,Credit Cards,"3,670",2%
|
| 343 |
+
North Carolina,Health Care,"3,371",2%
|
| 344 |
+
North Dakota,Imposter Scams,1044,16%
|
| 345 |
+
North Dakota,Identity Theft,924,15%
|
| 346 |
+
North Dakota,Credit Bureaus and Information Furnishers,737,12%
|
| 347 |
+
North Dakota,Online Shopping and Negative Reviews,515,8%
|
| 348 |
+
North Dakota,Banks and Lenders,444,7%
|
| 349 |
+
North Dakota,Debt Collection,238,4%
|
| 350 |
+
North Dakota,"Prizes, Sweepstakes and Lotteries",220,3%
|
| 351 |
+
North Dakota,Auto Related,192,3%
|
| 352 |
+
North Dakota,Internet Services,158,2%
|
| 353 |
+
North Dakota,"Privacy, Data Security, and Cyber Threats",141,2%
|
| 354 |
+
Ohio,Identity Theft,"27,766",17%
|
| 355 |
+
Ohio,Credit Bureaus and Information Furnishers,"27,519",17%
|
| 356 |
+
Ohio,Imposter Scams,"20,217",13%
|
| 357 |
+
Ohio,Banks and Lenders,"10,851",7%
|
| 358 |
+
Ohio,Online Shopping and Negative Reviews,"9,922",6%
|
| 359 |
+
Ohio,Auto Related,"6,402",4%
|
| 360 |
+
Ohio,Debt Collection,"5,957",4%
|
| 361 |
+
Ohio,Internet Services,"3,948",2%
|
| 362 |
+
Ohio,Health Care,"3,728",2%
|
| 363 |
+
Ohio,Credit Cards,"3,510",2%
|
| 364 |
+
Oklahoma,Identity Theft,"6,747",16%
|
| 365 |
+
Oklahoma,Imposter Scams,"6,134",14%
|
| 366 |
+
Oklahoma,Credit Bureaus and Information Furnishers,"5,804",13%
|
| 367 |
+
Oklahoma,Banks and Lenders,"2,824",7%
|
| 368 |
+
Oklahoma,Online Shopping and Negative Reviews,"2,781",6%
|
| 369 |
+
Oklahoma,Debt Collection,2038,5%
|
| 370 |
+
Oklahoma,Auto Related,1716,4%
|
| 371 |
+
Oklahoma,"Prizes, Sweepstakes and Lotteries",1337,3%
|
| 372 |
+
Oklahoma,Internet Services,1006,2%
|
| 373 |
+
Oklahoma,Telephone and Mobile Services,987,2%
|
| 374 |
+
Oregon,Imposter Scams,"10,654",20%
|
| 375 |
+
Oregon,Identity Theft,"6,898",13%
|
| 376 |
+
Oregon,Online Shopping and Negative Reviews,"4,665",9%
|
| 377 |
+
Oregon,Banks and Lenders,"4,114",8%
|
| 378 |
+
Oregon,Credit Bureaus and Information Furnishers,"2,819",5%
|
| 379 |
+
Oregon,"Prizes, Sweepstakes and Lotteries","1,663",3%
|
| 380 |
+
Oregon,Auto Related,"1,660",3%
|
| 381 |
+
Oregon,Internet Services,1630,3%
|
| 382 |
+
Oregon,"Privacy, Data Security, and Cyber Threats",1557,3%
|
| 383 |
+
Oregon,Debt Collection,1364,3%
|
| 384 |
+
Pennsylvania,Credit Bureaus and Information Furnishers,"62,010",28%
|
| 385 |
+
Pennsylvania,Identity Theft,"37,717",17%
|
| 386 |
+
Pennsylvania,Imposter Scams,"24,283",11%
|
| 387 |
+
Pennsylvania,Banks and Lenders,"13,487",6%
|
| 388 |
+
Pennsylvania,Online Shopping and Negative Reviews,"12,590",6%
|
| 389 |
+
Pennsylvania,Debt Collection,"8,162",4%
|
| 390 |
+
Pennsylvania,Auto Related,"6,046",3%
|
| 391 |
+
Pennsylvania,Internet Services,"5,125",2%
|
| 392 |
+
Pennsylvania,Credit Cards,"4,375",2%
|
| 393 |
+
Pennsylvania,Health Care,"3,803",2%
|
| 394 |
+
Puerto Rico,Credit Bureaus and Information Furnishers,"7,517",54%
|
| 395 |
+
Puerto Rico,Identity Theft,1649,12%
|
| 396 |
+
Puerto Rico,Imposter Scams,1099,8%
|
| 397 |
+
Puerto Rico,Banks and Lenders,733,5%
|
| 398 |
+
Puerto Rico,Online Shopping and Negative Reviews,335,2%
|
| 399 |
+
Puerto Rico,Credit Cards,203,1%
|
| 400 |
+
Puerto Rico,Debt Collection,191,1%
|
| 401 |
+
Puerto Rico,"Privacy, Data Security, and Cyber Threats",172,1%
|
| 402 |
+
Puerto Rico,Investment Related,166,1%
|
| 403 |
+
Puerto Rico,Internet Services,156,1%
|
| 404 |
+
Rhode Island,Identity Theft,"2,896",20%
|
| 405 |
+
Rhode Island,Credit Bureaus and Information Furnishers,"2,596",18%
|
| 406 |
+
Rhode Island,Imposter Scams,2049,14%
|
| 407 |
+
Rhode Island,Online Shopping and Negative Reviews,1075,7%
|
| 408 |
+
Rhode Island,Banks and Lenders,945,6%
|
| 409 |
+
Rhode Island,Auto Related,492,3%
|
| 410 |
+
Rhode Island,Debt Collection,460,3%
|
| 411 |
+
Rhode Island,Internet Services,348,2%
|
| 412 |
+
Rhode Island,Credit Cards,307,2%
|
| 413 |
+
Rhode Island,Health Care,302,2%
|
| 414 |
+
South Carolina,Credit Bureaus and Information Furnishers,"26,863",28%
|
| 415 |
+
South Carolina,Identity Theft,"15,146",16%
|
| 416 |
+
South Carolina,Imposter Scams,"10,167",11%
|
| 417 |
+
South Carolina,Banks and Lenders,"5,363",6%
|
| 418 |
+
South Carolina,Debt Collection,"4,804",5%
|
| 419 |
+
South Carolina,Online Shopping and Negative Reviews,"4,756",5%
|
| 420 |
+
South Carolina,Auto Related,"3,017",3%
|
| 421 |
+
South Carolina,Internet Services,"1,779",2%
|
| 422 |
+
South Carolina,Credit Cards,"1,678",2%
|
| 423 |
+
South Carolina,Health Care,1649,2%
|
| 424 |
+
South Dakota,Imposter Scams,1377,20%
|
| 425 |
+
South Dakota,Identity Theft,845,12%
|
| 426 |
+
South Dakota,Online Shopping and Negative Reviews,668,10%
|
| 427 |
+
South Dakota,Banks and Lenders,650,9%
|
| 428 |
+
South Dakota,Credit Bureaus and Information Furnishers,333,5%
|
| 429 |
+
South Dakota,Auto Related,252,4%
|
| 430 |
+
South Dakota,Debt Collection,237,3%
|
| 431 |
+
South Dakota,"Prizes, Sweepstakes and Lotteries",212,3%
|
| 432 |
+
South Dakota,Internet Services,200,3%
|
| 433 |
+
South Dakota,"Privacy, Data Security, and Cyber Threats",174,3%
|
| 434 |
+
Tennessee,Credit Bureaus and Information Furnishers,"19,135",20%
|
| 435 |
+
Tennessee,Identity Theft,"14,829",15%
|
| 436 |
+
Tennessee,Imposter Scams,"12,634",13%
|
| 437 |
+
Tennessee,Online Shopping and Negative Reviews,"6,011",6%
|
| 438 |
+
Tennessee,Banks and Lenders,"5,833",6%
|
| 439 |
+
Tennessee,Debt Collection,"4,406",5%
|
| 440 |
+
Tennessee,Auto Related,"3,651",4%
|
| 441 |
+
Tennessee,Internet Services,"2,328",2%
|
| 442 |
+
Tennessee,Health Care,"2,311",2%
|
| 443 |
+
Tennessee,"Prizes, Sweepstakes and Lotteries",2139,2%
|
| 444 |
+
Texas,Credit Bureaus and Information Furnishers,"183,433",32%
|
| 445 |
+
Texas,Identity Theft,"116,484",20%
|
| 446 |
+
Texas,Imposter Scams,"49,294",9%
|
| 447 |
+
Texas,Debt Collection,"29,526",5%
|
| 448 |
+
Texas,Banks and Lenders,"26,684",5%
|
| 449 |
+
Texas,Online Shopping and Negative Reviews,"23,372",4%
|
| 450 |
+
Texas,Auto Related,"15,620",3%
|
| 451 |
+
Texas,Business and Job Opportunities,"10,249",2%
|
| 452 |
+
Texas,Internet Services,"10,064",2%
|
| 453 |
+
Texas,Credit Cards,"9,941",2%
|
| 454 |
+
Utah,Imposter Scams,"6,604",19%
|
| 455 |
+
Utah,Identity Theft,"5,224",15%
|
| 456 |
+
Utah,Online Shopping and Negative Reviews,"2,746",8%
|
| 457 |
+
Utah,Credit Bureaus and Information Furnishers,"2,582",7%
|
| 458 |
+
Utah,Banks and Lenders,2210,6%
|
| 459 |
+
Utah,Business and Job Opportunities,1305,4%
|
| 460 |
+
Utah,Auto Related,1218,3%
|
| 461 |
+
Utah,Debt Collection,1097,3%
|
| 462 |
+
Utah,"Privacy, Data Security, and Cyber Threats",1067,3%
|
| 463 |
+
Utah,Health Care,994,3%
|
| 464 |
+
Vermont,Imposter Scams,1548,24%
|
| 465 |
+
Vermont,Identity Theft,651,10%
|
| 466 |
+
Vermont,Online Shopping and Negative Reviews,650,10%
|
| 467 |
+
Vermont,Banks and Lenders,521,8%
|
| 468 |
+
Vermont,Credit Bureaus and Information Furnishers,270,4%
|
| 469 |
+
Vermont,Auto Related,260,4%
|
| 470 |
+
Vermont,Internet Services,223,3%
|
| 471 |
+
Vermont,"Privacy, Data Security, and Cyber Threats",196,3%
|
| 472 |
+
Vermont,Health Care,192,3%
|
| 473 |
+
Vermont,"Prizes, Sweepstakes and Lotteries",169,3%
|
| 474 |
+
Virginia,Credit Bureaus and Information Furnishers,"26,319",19%
|
| 475 |
+
Virginia,Imposter Scams,"19,135",14%
|
| 476 |
+
Virginia,Identity Theft,"18,460",14%
|
| 477 |
+
Virginia,Banks and Lenders,"9,595",7%
|
| 478 |
+
Virginia,Online Shopping and Negative Reviews,"8,865",7%
|
| 479 |
+
Virginia,Debt Collection,"4,967",4%
|
| 480 |
+
Virginia,Auto Related,"4,908",4%
|
| 481 |
+
Virginia,Internet Services,"3,607",3%
|
| 482 |
+
Virginia,Credit Cards,"3,132",2%
|
| 483 |
+
Virginia,Health Care,"3,040",2%
|
| 484 |
+
Washington,Imposter Scams,"20,988",21%
|
| 485 |
+
Washington,Identity Theft,"13,068",13%
|
| 486 |
+
Washington,Online Shopping and Negative Reviews,"8,100",8%
|
| 487 |
+
Washington,Credit Bureaus and Information Furnishers,"7,657",8%
|
| 488 |
+
Washington,Banks and Lenders,"6,791",7%
|
| 489 |
+
Washington,Auto Related,"3,100",3%
|
| 490 |
+
Washington,"Privacy, Data Security, and Cyber Threats","3,056",3%
|
| 491 |
+
Washington,Internet Services,"2,986",3%
|
| 492 |
+
Washington,Debt Collection,"2,663",3%
|
| 493 |
+
Washington,Health Care,"2,381",2%
|
| 494 |
+
West Virginia,Imposter Scams,"2,863",17%
|
| 495 |
+
West Virginia,Identity Theft,"2,017",12%
|
| 496 |
+
West Virginia,Online Shopping and Negative Reviews,"1,498",9%
|
| 497 |
+
West Virginia,Credit Bureaus and Information Furnishers,1454,9%
|
| 498 |
+
West Virginia,Banks and Lenders,1284,8%
|
| 499 |
+
West Virginia,Auto Related,738,4%
|
| 500 |
+
West Virginia,"Prizes, Sweepstakes and Lotteries",735,4%
|
| 501 |
+
West Virginia,Internet Services,594,4%
|
| 502 |
+
West Virginia,Debt Collection,532,3%
|
| 503 |
+
West Virginia,Telephone and Mobile Services,440,3%
|
| 504 |
+
Wisconsin,Imposter Scams,"10,268",16%
|
| 505 |
+
Wisconsin,Identity Theft,"8,798",14%
|
| 506 |
+
Wisconsin,Credit Bureaus and Information Furnishers,"7,862",13%
|
| 507 |
+
Wisconsin,Online Shopping and Negative Reviews,"5,013",8%
|
| 508 |
+
Wisconsin,Banks and Lenders,"4,281",7%
|
| 509 |
+
Wisconsin,Auto Related,"2,374",4%
|
| 510 |
+
Wisconsin,Debt Collection,"1,941",3%
|
| 511 |
+
Wisconsin,Health Care,"1,751",3%
|
| 512 |
+
Wisconsin,Internet Services,"1,628",3%
|
| 513 |
+
Wisconsin,"Prizes, Sweepstakes and Lotteries",1446,2%
|
| 514 |
+
Wyoming,Imposter Scams,1103,19%
|
| 515 |
+
Wyoming,Identity Theft,697,12%
|
| 516 |
+
Wyoming,Online Shopping and Negative Reviews,643,11%
|
| 517 |
+
Wyoming,Banks and Lenders,437,7%
|
| 518 |
+
Wyoming,Internet Services,266,5%
|
| 519 |
+
Wyoming,"Prizes, Sweepstakes and Lotteries",259,4%
|
| 520 |
+
Wyoming,Credit Bureaus and Information Furnishers,223,4%
|
| 521 |
+
Wyoming,"Privacy, Data Security, and Cyber Threats",207,4%
|
| 522 |
+
Wyoming,Auto Related,203,3%
|
| 523 |
+
Wyoming,Debt Collection,187,3%
|
| 524 |
+
,,,
|
| 525 |
+
Percentages are based on the total number of 2024 reports from the corresponding state's consumers. State-specific data contributor reports are excluded.,,,
|
| 526 |
+
,,,
|
| 527 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Top_Three_Identity_Theft_Reports_by_Year.csv
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
| 1 |
+
Top Three Identity Theft Reports by Year,,
|
| 2 |
+
,,
|
| 3 |
+
Theft Type,Year,# of Reports
|
| 4 |
+
2020,Bank Account,"89,684"
|
| 5 |
+
2020,Credit Card,"393,446"
|
| 6 |
+
2020,Loan or Lease,"205,092"
|
| 7 |
+
2021,Bank Account,"124,544"
|
| 8 |
+
2021,Credit Card,"389,790"
|
| 9 |
+
2021,Loan or Lease,"197,981"
|
| 10 |
+
2022,Bank Account,"156,144"
|
| 11 |
+
2022,Credit Card,"440,675"
|
| 12 |
+
2022,Loan or Lease,"153,598"
|
| 13 |
+
2023,Bank Account,"136,862"
|
| 14 |
+
2023,Credit Card,"416,579"
|
| 15 |
+
2023,Loan or Lease,"149,803"
|
| 16 |
+
2024,Bank Account,"114,608"
|
| 17 |
+
2024,Credit Card,"449,032"
|
| 18 |
+
2024,Loan or Lease,"176,400"
|
| 19 |
+
,,
|
| 20 |
+
,,
|
| 21 |
+
The top identity theft types can vary by year. This table shows the top three types of identity theft reported in 2024 and how those types changed over five years.,,
|
| 22 |
+
,,
|
| 23 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",,
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Alabama.csv
ADDED
|
@@ -0,0 +1,21 @@
|
|
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|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Anniston-Oxford, AL Metropolitan Statistical Area","1,299"
|
| 5 |
+
"Auburn-Opelika, AL Metropolitan Statistical Area","2,141"
|
| 6 |
+
"Birmingham, AL Metropolitan Statistical Area","20,649"
|
| 7 |
+
"Columbus, GA-AL Metropolitan Statistical Area","5,541"
|
| 8 |
+
"Daphne-Fairhope-Foley, AL Metropolitan Statistical Area","2,652"
|
| 9 |
+
"Decatur, AL Metropolitan Statistical Area","1,248"
|
| 10 |
+
"Dothan, AL Metropolitan Statistical Area","1,471"
|
| 11 |
+
"Florence-Muscle Shoals, AL Metropolitan Statistical Area","1,167"
|
| 12 |
+
"Gadsden, AL Metropolitan Statistical Area","1,047"
|
| 13 |
+
"Huntsville, AL Metropolitan Statistical Area","7,978"
|
| 14 |
+
"LaGrange, GA-AL Micropolitan Statistical Area","1,453"
|
| 15 |
+
"Mobile, AL Metropolitan Statistical Area","6,371"
|
| 16 |
+
"Montgomery, AL Metropolitan Statistical Area","6,748"
|
| 17 |
+
"Tuscaloosa, AL Metropolitan Statistical Area","5,391"
|
| 18 |
+
,
|
| 19 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 20 |
+
,
|
| 21 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Alaska.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Anchorage, AK Metropolitan Statistical Area","4,138"
|
| 5 |
+
,
|
| 6 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 7 |
+
,
|
| 8 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Arizona.csv
ADDED
|
@@ -0,0 +1,15 @@
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Flagstaff, AZ Metropolitan Statistical Area","1,270"
|
| 5 |
+
"Lake Havasu City-Kingman, AZ Metropolitan Statistical Area","2,845"
|
| 6 |
+
"Phoenix-Mesa-Chandler, AZ Metropolitan Statistical Area","76,729"
|
| 7 |
+
"Prescott Valley-Prescott, AZ Metropolitan Statistical Area","3,500"
|
| 8 |
+
"Show Low, AZ Micropolitan Statistical Area",878
|
| 9 |
+
"Sierra Vista-Douglas, AZ Metropolitan Statistical Area","1,622"
|
| 10 |
+
"Tucson, AZ Metropolitan Statistical Area","14,321"
|
| 11 |
+
"Yuma, AZ Metropolitan Statistical Area","1,872"
|
| 12 |
+
,
|
| 13 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 14 |
+
,
|
| 15 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Arkansas.csv
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Fayetteville-Springdale-Rogers, AR Metropolitan Statistical Area","4,668"
|
| 5 |
+
"Fort Smith, AR-OK Metropolitan Statistical Area","1,523"
|
| 6 |
+
"Hot Springs, AR Metropolitan Statistical Area","1,065"
|
| 7 |
+
"Jonesboro, AR Metropolitan Statistical Area","1,180"
|
| 8 |
+
"Little Rock-North Little Rock-Conway, AR Metropolitan Statistical Area","10,233"
|
| 9 |
+
"Memphis, TN-MS-AR Metropolitan Statistical Area","25,046"
|
| 10 |
+
"Texarkana, TX-AR Metropolitan Statistical Area","1,324"
|
| 11 |
+
,
|
| 12 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 13 |
+
,
|
| 14 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/California.csv
ADDED
|
@@ -0,0 +1,34 @@
|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Bakersfield-Delano, CA Metropolitan Statistical Area","9,625"
|
| 5 |
+
"Chico, CA Metropolitan Statistical Area","2,088"
|
| 6 |
+
"El Centro, CA Metropolitan Statistical Area",937
|
| 7 |
+
"Eureka-Arcata, CA Micropolitan Statistical Area","1,255"
|
| 8 |
+
"Fresno, CA Metropolitan Statistical Area","11,969"
|
| 9 |
+
"Hanford-Corcoran, CA Metropolitan Statistical Area","1,060"
|
| 10 |
+
"Los Angeles-Long Beach-Anaheim, CA Metropolitan Statistical Area","191,725"
|
| 11 |
+
"Merced, CA Metropolitan Statistical Area","2,244"
|
| 12 |
+
"Modesto, CA Metropolitan Statistical Area","4,819"
|
| 13 |
+
"Napa, CA Metropolitan Statistical Area","1,225"
|
| 14 |
+
"Oxnard-Thousand Oaks-Ventura, CA Metropolitan Statistical Area","9,522"
|
| 15 |
+
"Redding, CA Metropolitan Statistical Area","1,747"
|
| 16 |
+
"Riverside-San Bernardino-Ontario, CA Metropolitan Statistical Area","61,410"
|
| 17 |
+
"Sacramento-Roseville-Folsom, CA Metropolitan Statistical Area","33,026"
|
| 18 |
+
"Salinas, CA Metropolitan Statistical Area","2,969"
|
| 19 |
+
"San Diego-Chula Vista-Carlsbad, CA Metropolitan Statistical Area","43,651"
|
| 20 |
+
"San Francisco-Oakland-Fremont, CA Metropolitan Statistical Area","60,059"
|
| 21 |
+
"San Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Area","22,452"
|
| 22 |
+
"San Luis Obispo-Paso Robles, CA Metropolitan Statistical Area","3,028"
|
| 23 |
+
"Santa Cruz-Watsonville, CA Metropolitan Statistical Area","2,699"
|
| 24 |
+
"Santa Maria-Santa Barbara, CA Metropolitan Statistical Area","3,619"
|
| 25 |
+
"Santa Rosa-Petaluma, CA Metropolitan Statistical Area","4,928"
|
| 26 |
+
"Stockton-Lodi, CA Metropolitan Statistical Area","8,456"
|
| 27 |
+
"Truckee-Grass Valley, CA Micropolitan Statistical Area","1,299"
|
| 28 |
+
"Vallejo, CA Metropolitan Statistical Area","6,477"
|
| 29 |
+
"Visalia, CA Metropolitan Statistical Area","3,432"
|
| 30 |
+
"Yuba City, CA Metropolitan Statistical Area","1,611"
|
| 31 |
+
,
|
| 32 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 33 |
+
,
|
| 34 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Colorado.csv
ADDED
|
@@ -0,0 +1,14 @@
|
|
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|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Boulder, CO Metropolitan Statistical Area","4,462"
|
| 5 |
+
"Colorado Springs, CO Metropolitan Statistical Area","10,275"
|
| 6 |
+
"Denver-Aurora-Centennial, CO Metropolitan Statistical Area","39,443"
|
| 7 |
+
"Fort Collins-Loveland, CO Metropolitan Statistical Area","5,396"
|
| 8 |
+
"Grand Junction, CO Metropolitan Statistical Area","1,483"
|
| 9 |
+
"Greeley, CO Metropolitan Statistical Area","3,042"
|
| 10 |
+
"Pueblo, CO Metropolitan Statistical Area","1,807"
|
| 11 |
+
,
|
| 12 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 13 |
+
,
|
| 14 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Connecticut.csv
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Bridgeport-Stamford-Danbury, CT Metropolitan Statistical Area","11,861"
|
| 5 |
+
"Hartford-West Hartford-East Hartford, CT Metropolitan Statistical Area","13,836"
|
| 6 |
+
"New Haven, CT Metropolitan Statistical Area","7,428"
|
| 7 |
+
"Norwich-New London-Willimantic, CT Metropolitan Statistical Area","2,978"
|
| 8 |
+
"Torrington, CT Micropolitan Statistical Area","1,252"
|
| 9 |
+
"Waterbury-Shelton, CT Metropolitan Statistical Area","5,378"
|
| 10 |
+
,
|
| 11 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 12 |
+
,
|
| 13 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Delaware.csv
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Dover, DE Metropolitan Statistical Area","3,124"
|
| 5 |
+
"Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metropolitan Statistical Area","121,966"
|
| 6 |
+
"Seaford, DE Micropolitan Statistical Area","3,303"
|
| 7 |
+
,
|
| 8 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 9 |
+
,
|
| 10 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/DistrictofColumbia.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area","109,978"
|
| 5 |
+
,
|
| 6 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 7 |
+
,
|
| 8 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Florida.csv
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Cape Coral-Fort Myers, FL Metropolitan Statistical Area","12,512"
|
| 5 |
+
"Crestview-Fort Walton Beach-Destin, FL Metropolitan Statistical Area","3,429"
|
| 6 |
+
"Deltona-Daytona Beach-Ormond Beach, FL Metropolitan Statistical Area","11,988"
|
| 7 |
+
"Gainesville, FL Metropolitan Statistical Area","5,211"
|
| 8 |
+
"Homosassa Springs, FL Metropolitan Statistical Area","2,298"
|
| 9 |
+
"Jacksonville, FL Metropolitan Statistical Area","31,560"
|
| 10 |
+
"Lakeland-Winter Haven, FL Metropolitan Statistical Area","16,226"
|
| 11 |
+
"Miami-Fort Lauderdale-West Palm Beach, FL Metropolitan Statistical Area","171,462"
|
| 12 |
+
"Naples-Marco Island, FL Metropolitan Statistical Area","5,479"
|
| 13 |
+
"North Port-Bradenton-Sarasota, FL Metropolitan Statistical Area","19,410"
|
| 14 |
+
"Ocala, FL Metropolitan Statistical Area","6,266"
|
| 15 |
+
"Orlando-Kissimmee-Sanford, FL Metropolitan Statistical Area","63,405"
|
| 16 |
+
"Palm Bay-Melbourne-Titusville, FL Metropolitan Statistical Area","12,534"
|
| 17 |
+
"Panama City-Panama City Beach, FL Metropolitan Statistical Area","2,920"
|
| 18 |
+
"Pensacola-Ferry Pass-Brent, FL Metropolitan Statistical Area","7,267"
|
| 19 |
+
"Port St. Lucie, FL Metropolitan Statistical Area","9,665"
|
| 20 |
+
"Punta Gorda, FL Metropolitan Statistical Area","3,281"
|
| 21 |
+
"Sebastian-Vero Beach-West Vero Corridor, FL Metropolitan Statistical Area","4,280"
|
| 22 |
+
"Sebring, FL Metropolitan Statistical Area","1,430"
|
| 23 |
+
"Tallahassee, FL Metropolitan Statistical Area","6,363"
|
| 24 |
+
"Tampa-St. Petersburg-Clearwater, FL Metropolitan Statistical Area","66,454"
|
| 25 |
+
"Wildwood-The Villages, FL Metropolitan Statistical Area","1,822"
|
| 26 |
+
,
|
| 27 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 28 |
+
,
|
| 29 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Georgia.csv
ADDED
|
@@ -0,0 +1,21 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Albany, GA Metropolitan Statistical Area","1,939"
|
| 5 |
+
"Athens-Clarke County, GA Metropolitan Statistical Area","1,948"
|
| 6 |
+
"Atlanta-Sandy Springs-Roswell, GA Metropolitan Statistical Area","167,515"
|
| 7 |
+
"Augusta-Richmond County, GA-SC Metropolitan Statistical Area","9,834"
|
| 8 |
+
"Brunswick-St. Simons, GA Metropolitan Statistical Area","1,330"
|
| 9 |
+
"Chattanooga, TN-GA Metropolitan Statistical Area","6,737"
|
| 10 |
+
"Columbus, GA-AL Metropolitan Statistical Area","5,541"
|
| 11 |
+
"Dalton, GA Metropolitan Statistical Area",821
|
| 12 |
+
"Gainesville, GA Metropolitan Statistical Area","2,087"
|
| 13 |
+
"LaGrange, GA-AL Micropolitan Statistical Area","1,453"
|
| 14 |
+
"Macon-Bibb County, GA Metropolitan Statistical Area","3,860"
|
| 15 |
+
"Savannah, GA Metropolitan Statistical Area","7,635"
|
| 16 |
+
"Valdosta, GA Metropolitan Statistical Area","1,769"
|
| 17 |
+
"Warner Robins, GA Metropolitan Statistical Area","3,587"
|
| 18 |
+
,
|
| 19 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 20 |
+
,
|
| 21 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Hawaii.csv
ADDED
|
@@ -0,0 +1,10 @@
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Hilo-Kailua, HI Micropolitan Statistical Area","2,036"
|
| 5 |
+
"Kahului-Wailuku, HI Metropolitan Statistical Area","1,532"
|
| 6 |
+
"Urban Honolulu, HI Metropolitan Statistical Area","9,823"
|
| 7 |
+
,
|
| 8 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 9 |
+
,
|
| 10 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Idaho.csv
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Boise City, ID Metropolitan Statistical Area","7,571"
|
| 5 |
+
"Coeur d'Alene, ID Metropolitan Statistical Area","1,748"
|
| 6 |
+
"Idaho Falls, ID Metropolitan Statistical Area","1,136"
|
| 7 |
+
"Logan, UT-ID Metropolitan Statistical Area",996
|
| 8 |
+
"Twin Falls, ID Metropolitan Statistical Area",773
|
| 9 |
+
,
|
| 10 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 11 |
+
,
|
| 12 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Illinois.csv
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Bloomington, IL Metropolitan Statistical Area","1,624"
|
| 5 |
+
"Champaign-Urbana, IL Metropolitan Statistical Area","2,631"
|
| 6 |
+
"Chicago-Naperville-Elgin, IL-IN Metropolitan Statistical Area","158,000"
|
| 7 |
+
"Davenport-Moline-Rock Island, IA-IL Metropolitan Statistical Area","3,376"
|
| 8 |
+
"Decatur, IL Metropolitan Statistical Area","1,011"
|
| 9 |
+
"Kankakee, IL Metropolitan Statistical Area","1,595"
|
| 10 |
+
"Ottawa, IL Micropolitan Statistical Area",893
|
| 11 |
+
"Paducah, KY-IL Metropolitan Statistical Area",785
|
| 12 |
+
"Peoria, IL Metropolitan Statistical Area","3,296"
|
| 13 |
+
"Rockford, IL Metropolitan Statistical Area","3,959"
|
| 14 |
+
"Springfield, IL Metropolitan Statistical Area","2,159"
|
| 15 |
+
"St. Louis, MO-IL Metropolitan Statistical Area","42,059"
|
| 16 |
+
,
|
| 17 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 18 |
+
,
|
| 19 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Indiana.csv
ADDED
|
@@ -0,0 +1,20 @@
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Bloomington, IN Metropolitan Statistical Area","1,382"
|
| 5 |
+
"Chicago-Naperville-Elgin, IL-IN Metropolitan Statistical Area","158,000"
|
| 6 |
+
"Cincinnati, OH-KY-IN Metropolitan Statistical Area","24,149"
|
| 7 |
+
"Elkhart-Goshen, IN Metropolitan Statistical Area","1,395"
|
| 8 |
+
"Evansville, IN Metropolitan Statistical Area","2,472"
|
| 9 |
+
"Fort Wayne, IN Metropolitan Statistical Area","4,431"
|
| 10 |
+
"Indianapolis-Carmel-Greenwood, IN Metropolitan Statistical Area","31,318"
|
| 11 |
+
"Lafayette-West Lafayette, IN Metropolitan Statistical Area","1,613"
|
| 12 |
+
"Louisville/Jefferson County, KY-IN Metropolitan Statistical Area","14,501"
|
| 13 |
+
"Michigan City-La Porte, IN Metropolitan Statistical Area","1,073"
|
| 14 |
+
"Muncie, IN Metropolitan Statistical Area",850
|
| 15 |
+
"South Bend-Mishawaka, IN-MI Metropolitan Statistical Area","3,006"
|
| 16 |
+
"Terre Haute, IN Metropolitan Statistical Area","1,121"
|
| 17 |
+
,
|
| 18 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 19 |
+
,
|
| 20 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Iowa.csv
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Ames, IA Metropolitan Statistical Area",807
|
| 5 |
+
"Cedar Rapids, IA Metropolitan Statistical Area","2,209"
|
| 6 |
+
"Davenport-Moline-Rock Island, IA-IL Metropolitan Statistical Area","3,376"
|
| 7 |
+
"Des Moines-West Des Moines, IA Metropolitan Statistical Area","6,021"
|
| 8 |
+
"Iowa City, IA Metropolitan Statistical Area","1,443"
|
| 9 |
+
"Omaha, NE-IA Metropolitan Statistical Area","11,283"
|
| 10 |
+
"Sioux City, IA-NE-SD Metropolitan Statistical Area",895
|
| 11 |
+
"Waterloo-Cedar Falls, IA Metropolitan Statistical Area","1,087"
|
| 12 |
+
,
|
| 13 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 14 |
+
,
|
| 15 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Kansas.csv
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Joplin, MO-KS Metropolitan Statistical Area","1,596"
|
| 5 |
+
"Kansas City, MO-KS Metropolitan Statistical Area","24,559"
|
| 6 |
+
"Lawrence, KS Metropolitan Statistical Area","1,070"
|
| 7 |
+
"Manhattan, KS Metropolitan Statistical Area","1,155"
|
| 8 |
+
"St. Joseph, MO-KS Metropolitan Statistical Area",856
|
| 9 |
+
"Topeka, KS Metropolitan Statistical Area","2,110"
|
| 10 |
+
"Wichita, KS Metropolitan Statistical Area","5,811"
|
| 11 |
+
,
|
| 12 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 13 |
+
,
|
| 14 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Kentucky.csv
ADDED
|
@@ -0,0 +1,18 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Bowling Green, KY Metropolitan Statistical Area","1,257"
|
| 5 |
+
"Cincinnati, OH-KY-IN Metropolitan Statistical Area","24,149"
|
| 6 |
+
"Clarksville, TN-KY Metropolitan Statistical Area","4,186"
|
| 7 |
+
"Corbin, KY Micropolitan Statistical Area",826
|
| 8 |
+
"Elizabethtown, KY Metropolitan Statistical Area","1,880"
|
| 9 |
+
"Huntington-Ashland, WV-KY-OH Metropolitan Statistical Area","2,569"
|
| 10 |
+
"Lexington-Fayette, KY Metropolitan Statistical Area","5,868"
|
| 11 |
+
"Louisville/Jefferson County, KY-IN Metropolitan Statistical Area","14,501"
|
| 12 |
+
"Owensboro, KY Metropolitan Statistical Area",735
|
| 13 |
+
"Paducah, KY-IL Metropolitan Statistical Area",785
|
| 14 |
+
"Richmond-Berea, KY Micropolitan Statistical Area",992
|
| 15 |
+
,
|
| 16 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 17 |
+
,
|
| 18 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Louisiana.csv
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Alexandria, LA Metropolitan Statistical Area","2,398"
|
| 5 |
+
"Baton Rouge, LA Metropolitan Statistical Area","15,942"
|
| 6 |
+
"Hammond, LA Metropolitan Statistical Area","1,488"
|
| 7 |
+
"Houma-Bayou Cane-Thibodaux, LA Metropolitan Statistical Area","1,674"
|
| 8 |
+
"Lafayette, LA Metropolitan Statistical Area","6,545"
|
| 9 |
+
"Lake Charles, LA Metropolitan Statistical Area","2,309"
|
| 10 |
+
"Monroe, LA Metropolitan Statistical Area","2,522"
|
| 11 |
+
"New Orleans-Metairie, LA Metropolitan Statistical Area","17,332"
|
| 12 |
+
"Shreveport-Bossier City, LA Metropolitan Statistical Area","6,883"
|
| 13 |
+
"Slidell-Mandeville-Covington, LA Metropolitan Statistical Area","3,356"
|
| 14 |
+
,
|
| 15 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 16 |
+
,
|
| 17 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Maine.csv
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Augusta-Waterville, ME Micropolitan Statistical Area","1,070"
|
| 5 |
+
"Bangor, ME Metropolitan Statistical Area","1,222"
|
| 6 |
+
"Lewiston-Auburn, ME Metropolitan Statistical Area","1,025"
|
| 7 |
+
"Portland-South Portland, ME Metropolitan Statistical Area","5,215"
|
| 8 |
+
,
|
| 9 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 10 |
+
,
|
| 11 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Maryland.csv
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Baltimore-Columbia-Towson, MD Metropolitan Statistical Area","52,648"
|
| 5 |
+
"Hagerstown-Martinsburg, MD-WV Metropolitan Statistical Area","3,665"
|
| 6 |
+
"Lexington Park, MD Metropolitan Statistical Area","2,473"
|
| 7 |
+
"Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metropolitan Statistical Area","121,966"
|
| 8 |
+
"Salisbury, MD Metropolitan Statistical Area","1,287"
|
| 9 |
+
"Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area","109,978"
|
| 10 |
+
,
|
| 11 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 12 |
+
,
|
| 13 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Massachusetts.csv
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Amherst Town-Northampton, MA Metropolitan Statistical Area","1,560"
|
| 5 |
+
"Barnstable Town, MA Metropolitan Statistical Area","2,322"
|
| 6 |
+
"Boston-Cambridge-Newton, MA-NH Metropolitan Statistical Area","59,918"
|
| 7 |
+
"Pittsfield, MA Metropolitan Statistical Area","1,255"
|
| 8 |
+
"Providence-Warwick, RI-MA Metropolitan Statistical Area","17,440"
|
| 9 |
+
"Springfield, MA Metropolitan Statistical Area","4,994"
|
| 10 |
+
"Worcester, MA Metropolitan Statistical Area","8,660"
|
| 11 |
+
,
|
| 12 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 13 |
+
,
|
| 14 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Michigan.csv
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Ann Arbor, MI Metropolitan Statistical Area","4,321"
|
| 5 |
+
"Battle Creek, MI Metropolitan Statistical Area","1,143"
|
| 6 |
+
"Bay City, MI Metropolitan Statistical Area",708
|
| 7 |
+
"Detroit-Warren-Dearborn, MI Metropolitan Statistical Area","66,361"
|
| 8 |
+
"Flint, MI Metropolitan Statistical Area","4,978"
|
| 9 |
+
"Grand Rapids-Wyoming-Kentwood, MI Metropolitan Statistical Area","10,409"
|
| 10 |
+
"Holland, MI Micropolitan Statistical Area",702
|
| 11 |
+
"Jackson, MI Metropolitan Statistical Area","1,437"
|
| 12 |
+
"Kalamazoo-Portage, MI Metropolitan Statistical Area","2,954"
|
| 13 |
+
"Lansing-East Lansing, MI Metropolitan Statistical Area","4,598"
|
| 14 |
+
"Monroe, MI Metropolitan Statistical Area","1,157"
|
| 15 |
+
"Muskegon-Norton Shores, MI Metropolitan Statistical Area","1,437"
|
| 16 |
+
"Niles, MI Metropolitan Statistical Area","1,376"
|
| 17 |
+
"Saginaw, MI Metropolitan Statistical Area","1,500"
|
| 18 |
+
"South Bend-Mishawaka, IN-MI Metropolitan Statistical Area","3,006"
|
| 19 |
+
"Traverse City, MI Metropolitan Statistical Area","1,145"
|
| 20 |
+
,
|
| 21 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
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| 22 |
+
,
|
| 23 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
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krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Minnesota.csv
ADDED
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| 1 |
+
Metropolitan Areas: Fraud and Other Reports,
|
| 2 |
+
,
|
| 3 |
+
Metropolitan Area,# of Reports
|
| 4 |
+
"Duluth, MN-WI Metropolitan Statistical Area","2,226"
|
| 5 |
+
"Fargo, ND-MN Metropolitan Statistical Area","2,183"
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| 6 |
+
"Grand Forks, ND-MN Metropolitan Statistical Area",606
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| 7 |
+
"La Crosse-Onalaska, WI-MN Metropolitan Statistical Area","1,142"
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| 8 |
+
"Mankato, MN Metropolitan Statistical Area",695
|
| 9 |
+
"Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area","38,139"
|
| 10 |
+
"Rochester, MN Metropolitan Statistical Area","1,818"
|
| 11 |
+
"Sioux Falls, SD-MN Metropolitan Statistical Area","2,266"
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| 12 |
+
"St. Cloud, MN Metropolitan Statistical Area","1,361"
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| 13 |
+
,
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| 14 |
+
"Metropolitan Areas are defined by the Office of Management and Budget, and population estimates are based on 2023 U.S. Census figures. Metropolitan Areas are ranked based on the number of reports per 100,000 population. Reports exclude state-specific data contributor reports.",
|
| 15 |
+
,
|
| 16 |
+
"Source: Consumer Sentinel Network Data Book 2024, Federal Trade Commission",
|