Data Loss Statistics

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The Open Security Foundation's DataLossDB gathers information about events involving the loss, theft, or exposure of personally identifiable information (PII). DataLossDB's dataset, in current and previous forms, has been used in research by numerous educational, governmental, and commercial entities, which often have been able to provide statistical analysis with graphical presentations.

The charts below are provided in "as-is" format based on the current dataset maintained by the Open Security Foundation and DataLossDB. These charts may be used for presentation by outside organizations provided approval is provided and visible credit is given to the Open Security Foundation / DataLossDB.org. Please contact [email protected] for approval to use the material or with any questions about the statistics presented on this page.

NUMBER OF INCIDENTS

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TYPES OF INCIDENTS

Chart?cht=p&chtt=incidents by breach type - current year&chs=700x400&chd=t:53,7,4,4,4,3,3,3,3,2,2,2,2,1,1,1,1,1,0,0,0,0,0&chl=hack+-+53%25|web+-+7%25|fraudse+-+4%25|phishing+-+4%25|stolenlaptop+-+4%25|other+-+3%25|unknown+-+3%25|snailmail+-+3%25|stolendocument+-+3%25|snooping+-+2%25|email+-+2%25|stolendrive+-+2%25|virus+-+2%25|disposal_document+-+1%25|missingdocument+-+1%25|missingdrive+-+1%25|skimming+-+1%25|stolencomputer+-+1%25|disposal_computer+-+0%25|disposal_drive+-+0%25|fax+-+0%25|lostdocument+-+0%25|stolenmedia+-+0%25 Chart?cht=p&chtt=incidents by business type - current year&chs=460x200&chd=t:50,15,14,12,9&chl=biz+-+50%25|med+-+15%25|gov+-+14%25|unknown+-+12%25|edu+-+9%25 Chart?cht=p&chtt=incidents by data type - current year&chs=460x200&chd=t:20,11,10,9,8,8&chl=naa+-+20%25|ema+-+11%25|pwd+-+10%25|add+-+9%25|ssn+-+8%25|dob+-+8%25 Chart?cht=p&chtt=incidents by vector - current year&chs=700x400&chd=t:70,15,8,6,2&chl=outside+-+70%25|inside-accidental+-+15%25|inside-malicious+-+8%25|unknown+-+6%25|inside+-+2%25


THIRD PARTIES AND DATA LOSS

The following graphs highlight a trend that indicates that data loss incidents involving third parties, on average, result in a greater number of records lost that incidents that do not involve third parties. This may be as a result of the type of data handled by third parties, the process of transferring the data between organizations, or other hypothesis, mostly all speculative as little data exists to establish one cause as dominant. The trend is, however, concerning.

Chart?cht=p&chtt=incidents involving 3rd parties - current year&chs=460x200&chd=t:0.0,100 Chart?cht=p&chtt=records, involving 3rd parties - current year&chs=460x200&chd=t:0.0,100

DATA LOSS MAPS

World Map

This map outlines data loss incidents per headquarter's location, world-wide. This map is not affected by the chosen timeframe, it represents all documented incidents in datalossdb.org for the given geographic area.

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USA Map

This map outlines data loss incidents per headquarter's location in the USA. This map is not affected by the chosen timeframe, it represents all documented incidents in datalossdb.org for the given geographic area.

Chart?chtt=data loss incidents, all time, usa&chf=bg,s,eaf7fe&chco=f5f5f5,faebd7,ff0000&chs=440x220&cht=t&chtm=usa&chl=ak|al|ar|az|ca|co|ct|dc|de|fl|ga|hi|ia|id|il|in|ks|ky|la|ma|md|me|mi|mn|mo|ms|mt|n carolina|nc|nd|ne|new york|nh|nj|nm|nv|ny|oh|ok|or|pa|rhode isl|ri|s carolina|sc|sd|tn|tx|ut|va|vt|w virginia|wa|wi|wv|wy&chd=t:22,58,27,82,789,117,112,126,26,372,200,25,56,24,269,121,38,67,42,298,147,33,128,105,106,23,11,15,205,8,38,1,54,142,37,48,543,198,66,88,199,2,33,1,55,10,130,407,56,196,30,1,152,79,24,9
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