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Add krama_full assets/legal

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  1. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Data_Contributors.csv +143 -0
  2. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Detailed_Report_Categories_over_Three_Years.csv +312 -0
  3. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud, Identity Theft, and Other Reports by Military Consumers.csv +26 -0
  4. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Amount_Lost.csv +37 -0
  5. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Contact_Method.csv +17 -0
  6. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Payment_Method.csv +18 -0
  7. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Age.csv +15 -0
  8. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Type.csv +37 -0
  9. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Types_by_Age.csv +14 -0
  10. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Major_Data_Contributors.csv +20 -0
  11. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Metropolitan_Areas_Fraud_and_Other_Reports.csv +408 -0
  12. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Metropolitan_Areas_Identity_Theft_Reports.csv +408 -0
  13. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Military_Consumer_Identity_Theft_Reports_by_Type.csv +37 -0
  14. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Number_of_Reports_by_Type.csv +29 -0
  15. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Categories.csv +36 -0
  16. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Categories_over_Three_Years.csv +100 -0
  17. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Count.csv +31 -0
  18. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Report_Type.csv +46 -0
  19. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Reported_Frauds_and_Losses_by_Age.csv +16 -0
  20. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Reports_by_Military_Consumers.csv +51 -0
  21. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Fraud_Reports_and_Losses.csv +59 -0
  22. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Identity_Theft_Reports.csv +371 -0
  23. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Rankings_Fraud_and_Other_Reports.csv +59 -0
  24. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Rankings_Identity_Theft_Reports.csv +59 -0
  25. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_State_Top_Ten_Report_Categories.csv +527 -0
  26. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Top_Three_Identity_Theft_Reports_by_Year.csv +23 -0
  27. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Alabama.csv +21 -0
  28. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Alaska.csv +8 -0
  29. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Arizona.csv +15 -0
  30. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Arkansas.csv +14 -0
  31. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/California.csv +34 -0
  32. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Colorado.csv +14 -0
  33. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Connecticut.csv +13 -0
  34. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Delaware.csv +10 -0
  35. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/DistrictofColumbia.csv +8 -0
  36. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Florida.csv +29 -0
  37. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Georgia.csv +21 -0
  38. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Hawaii.csv +10 -0
  39. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Idaho.csv +12 -0
  40. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Illinois.csv +19 -0
  41. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Indiana.csv +20 -0
  42. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Iowa.csv +15 -0
  43. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Kansas.csv +14 -0
  44. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Kentucky.csv +18 -0
  45. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Louisiana.csv +17 -0
  46. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Maine.csv +11 -0
  47. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Maryland.csv +13 -0
  48. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Massachusetts.csv +14 -0
  49. krama_full/assets/legal/csn-data-book-2024-csv/CSVs/State MSA Fraud and Other data/Michigan.csv +23 -0
  50. 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
@@ -0,0 +1,143 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
@@ -0,0 +1,312 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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",,,,,
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Fraud_Reports_by_Payment_Method.csv ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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",,
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Age.csv ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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",
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Reports_by_Type.csv ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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",,,
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Identity_Theft_Types_by_Age.csv ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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",,,,,,,,
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Major_Data_Contributors.csv ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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",,,
krama_full/assets/legal/csn-data-book-2024-csv/CSVs/2024_CSN_Metropolitan_Areas_Fraud_and_Other_Reports.csv ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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.",
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/Minnesota.csv ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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"
6
+ "Grand Forks, ND-MN Metropolitan Statistical Area",606
7
+ "La Crosse-Onalaska, WI-MN Metropolitan Statistical Area","1,142"
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"
12
+ "St. Cloud, MN Metropolitan Statistical Area","1,361"
13
+ ,
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",