The focus of this project was insider fraud -- crimes committed by the owners and operators of insurance companies that were established for the purposes of defrauding businesses and employees. The quantitative data for this collection were taken from a database maintained by the National Association of Insurance Commissioners (NAIC), an organization that represents state insurance departments collectively and acts as a clearinghouse for information obtained from individual departments. Created in 1988, the Regulatory Information Retrieval System (RIRS) database contains information on actions taken by state insurance departments against individuals and firms, including cease and desist orders, license revocations, fines, and penalties imposed. Data available for this project include a total of 123 actions taken against firms labeled as Multiple Employer Welfare Arrangements or Multiple Employer Trusts (MEWA/MET) in the RIRS database. Variables available in this data collection include the date action was taken, state where action was taken, dollar amount of the penalty imposed in the action, and disposition for action taken.

Database of allegations of fraud and dispositions of those allegations that warrant further investigation.

Hungary Fraud Attempts: Volume data was reported at 32.000 Unit in Dec 2019. This records an increase from the previous number of 12.000 Unit for Sep 2019. Hungary Fraud Attempts: Volume data is updated quarterly, averaging 68.000 Unit from Mar 2010 (Median) to Dec 2019, with 40 observations. The data reached an all-time high of 243.000 Unit in Mar 2013 and a record low of 12.000 Unit in Sep 2019. Hungary Fraud Attempts: Volume data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.

Hungary PCF: Acquirer Side: by Type: Fraudulent Application: Value data was reported at 0.000 HUF th in Sep 2019. This stayed constant from the previous number of 0.000 HUF th for Jun 2019. Hungary PCF: Acquirer Side: by Type: Fraudulent Application: Value data is updated quarterly, averaging 34.000 HUF th from Mar 2014 (Median) to Sep 2019, with 21 observations. The data reached an all-time high of 5,166.000 HUF th in Dec 2017 and a record low of 0.000 HUF th in Sep 2019. Hungary PCF: Acquirer Side: by Type: Fraudulent Application: Value data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.

Hungary PCF: Acquirer Side: by Type: Fraudulent Application: Volume data was reported at 0.000 Unit in Sep 2019. This stayed constant from the previous number of 0.000 Unit for Jun 2019. Hungary PCF: Acquirer Side: by Type: Fraudulent Application: Volume data is updated quarterly, averaging 2.000 Unit from Mar 2014 (Median) to Sep 2019, with 21 observations. The data reached an all-time high of 22.000 Unit in Dec 2017 and a record low of 0.000 Unit in Sep 2019. Hungary PCF: Acquirer Side: by Type: Fraudulent Application: Volume data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.

Hungary Losses Related to Payment Card Frauds: Acquirer Side: Acquirers data was reported at 1,501.000 HUF th in Sep 2019. This records a decrease from the previous number of 4,289.000 HUF th for Jun 2019. Hungary Losses Related to Payment Card Frauds: Acquirer Side: Acquirers data is updated quarterly, averaging 1,501.000 HUF th from Mar 2014 (Median) to Sep 2019, with 23 observations. The data reached an all-time high of 6,655.000 HUF th in Jun 2016 and a record low of 2.000 HUF th in Mar 2014. Hungary Losses Related to Payment Card Frauds: Acquirer Side: Acquirers data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.

The objective of the Youth Court Survey (YCS) is to produce a national database of statistical information on charges, cases and persons involving accused who are aged 12 to 17 years (up to the 18th birthday) at the time of the offence. For current YCS data refer to Statistics Canada

Hungary FA: Other Fraudulent Activities: Cash Trapping data was reported at 0.000 Unit in Sep 2019. This stayed constant from the previous number of 0.000 Unit for Jun 2019. Hungary FA: Other Fraudulent Activities: Cash Trapping data is updated quarterly, averaging 0.000 Unit from Mar 2014 (Median) to Sep 2019, with 23 observations. The data reached an all-time high of 33.000 Unit in Mar 2014 and a record low of 0.000 Unit in Sep 2019. Hungary FA: Other Fraudulent Activities: Cash Trapping data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.

Hungary Losses Related to Payment Card Frauds: Acquirer Side: Merchants data was reported at 110,918.000 HUF th in Sep 2019. This records an increase from the previous number of 39,596.000 HUF th for Jun 2019. Hungary Losses Related to Payment Card Frauds: Acquirer Side: Merchants data is updated quarterly, averaging 15,193.000 HUF th from Mar 2014 (Median) to Sep 2019, with 23 observations. The data reached an all-time high of 110,918.000 HUF th in Sep 2019 and a record low of 2,442.000 HUF th in Mar 2014. Hungary Losses Related to Payment Card Frauds: Acquirer Side: Merchants data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.

Hungary Losses Related to Payment Card Frauds: Issuer Side: Issuers data was reported at 188,696.000 HUF th in Sep 2019. This records an increase from the previous number of 171,178.000 HUF th for Jun 2019. Hungary Losses Related to Payment Card Frauds: Issuer Side: Issuers data is updated quarterly, averaging 138,368.000 HUF th from Mar 2014 (Median) to Sep 2019, with 23 observations. The data reached an all-time high of 236,812.000 HUF th in Mar 2019 and a record low of 66,176.000 HUF th in Mar 2014. Hungary Losses Related to Payment Card Frauds: Issuer Side: Issuers data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.

Hungary Losses Related to Payment Card Frauds: Issuers In and Outside the Country data was reported at 57,075.000 HUF th in Sep 2019. This records an increase from the previous number of 24,436.000 HUF th for Jun 2019. Hungary Losses Related to Payment Card Frauds: Issuers In and Outside the Country data is updated quarterly, averaging 30,482.000 HUF th from Mar 2014 (Median) to Sep 2019, with 23 observations. The data reached an all-time high of 64,985.000 HUF th in Sep 2018 and a record low of 8,443.000 HUF th in Mar 2014. Hungary Losses Related to Payment Card Frauds: Issuers In and Outside the Country data remains active status in CEIC and is reported by National Bank of Hungary. The data is categorized under Global Database’s Hungary – Table HU.KA013: Card and Electronic Payment Frauds.