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LIST OF COUNTRIES WHERE THE INTERNATIONAL DRIVER LICENSE IS CURRENTLY ACCEPTED:
| Afghanistan | Egypt | Lesotho | San Marino |
| Albania | El Salvador | Liberia | Sao Tome |
| Algeria | Equatorial Guinea | Libya | Saudi Arabia |
| Andorra | Estonia | Liechtenstein | Senegal |
| Angola | Fiji | Lithuania | Seychelles |
| Antigua | Finland | Luxembourg | Sierra Leone |
| Argentina | France (include French | Macao | Singapore |
| Armenia | overseas territories) | Madagascar | Slovakia |
| Aruba | French Polynesia | Malawi | Slovenia |
| Australia | Gabon | Malaysia | Spain |
| Austria | Gambia | Mali | South Africa |
| Azerbaijan | Germany | Malta | Sri Lanka |
| Bahamas | Georgia | Mauritania | St.Christopher, Nevis & |
| Bahrain | Ghana | Mauritius | Anguilla |
| Bangladesh | Gibraltar | Mexico | Surinam |
| Barbados | Greece | Monaco | Swaziland |
| Belarus | Grenada | Moldova | Sweden |
| Belgium | Guatemala | Morocco | Switzerland |
| Belize | Guernsey | Montserrat | Sudan |
| Benin | Guinea | Mozambique | Syria |
| Bhutan | Guinea-Bissau | Myanmar | Taiwan |
| Bolivia | Guyana | Namibia | Tajikistan |
| Brazil | Haiti | Nepal | Tanzania |
| Botswana | Honduras | Netherlands | Thailand |
| Brunei | Hong Kong | New Caledonia | Togo |
| Bulgaria | Hungary | New Guinea | Trinidad & Tobago |
| Burkina Faso | Iceland | New Zealand | Tunisia |
| C.I.S. | India | Nicaragua | Turkey |
| Cameroon | Indonesia | Niger | Turkmenistan |
| Canada | Iran | Nigeria | Uruguay |
| Cape Verde Island | Ireland | Norway | Uganda |
| Cayman Islands | Israel | Oman | Ukraine |
| Central African Rep. | Italy | Pakistan | United Arab Emirates |
| Chad | Ivory Coast | Panama | United Kingdom |
| Chile | Jamaica | Papua New Guinea | United States of America |
| Colombia | Jersey | Paraguay | Uzbekistan |
| Comoros | Jordan | Peru | Vatican City |
| Congo | Kampuchea | Philippines | Venezuela |
| Costa Rica | Kazakhstan | Poland | Verde Islands |
| Croatia | Kenya | Polynesia | Vietnam |
| Cuba | Kuwait | Portugal (includes Madeira & Azores) | Western Samoa |
| Curacao | Kyrgyzstan | Windward Islands | |
| Cyprus | Laos | Principe | Yemen (Rep.) |
| Czech Rep. | Latvia | Qatar | Yugoslavia |
| Denmark | Lebanon | Romania | Zaire |
| Djibouti | Leone | Rwanda | Zambia |
| Dominican Republic | Russia | Zimbabwe | |
| Ecuador |
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Florida, Illinois, Wisconsin, perhaps others
- US Driver's License Numbers Florida, Illinois, Wisconsin, perhaps others. By Alan De Smet. You might want to look at my disclaimer before using this information for anything important. You might want to see warning about fake ids before using this information to make a fake id.
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You might want to look at my disclaimer before using this information for anything important. You might want to see warning about fake ids before using this information to make a fake id.
This particular page focuses on the algorithm shared by Florida, Illinois, and Wisconsin. For information onother states driver's license numbers see this page.
I've written programs so you can can calculate your license number basedon your personal information, or you can determine your personalinformation from your driver's license number:| State | Info to Number | Number to Info |
|---|---|---|
| Florida | Calculate Florida | Analyze Florida |
| Illinois | Calculate Illinois | Analyze Illinois |
| Wisconsin | Calculate Wisconsin | Analyze Wisconsin |
Here is a Java applet for encoding these states.
A number of states encode your name, gender, and date of birth in yourlicense number. These include Florida, Wisconsin, and Illinois. Thesestates use the same system of encoding, or very similar ones. Givensomeone's driver's license number from one of these states, you can takegood guesses at someone's name and exactly determine their gender and dateof birth. With someone's name, date of birth, and gender, you can guesssome or all of their driver's license number. (I expect this same systemapplies to State IDs, but I don't know.)
I'm not really sure why these numbers are designed so. A likely guessis that it allows a skilled bouncer to quickly identify sloppy fake ids.
When you remove the hyphens, these license numbers look like thefollowing:
The specific licenenses look like the following.
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I'm told Florida uses a different system for state identifications. I don't know anything else about it.
Illinois State ID's simply move the initial letter to the end, but areotherwise calculated the same.
The segments are:
| Segment | Example | Description |
|---|---|---|
| SSSS | F255 | Soundex code |
| FFF | 921 | First name, middle initial |
| YY | 50 | Year of birth |
| DDD | 094 | Day and month of birth |
| NN | 03 | Overflow (not all states use this) |
SSSS - Soundex code of your last name
Soundex is a hashing system for english words.You might want to look at further information onhow soundex works.
The example soundex is F255, so the example name starts withF, so the name starts with an F, followed by a gutteral orsibilant, followed by a nasal, followed by another nasal. Thisis correct, as the example person's last name is 'Fakename'
For my license generator, I simply implement this. For mylicense reverser, I simply take likely guesses. I also generatedthe Soundex code for the top 10,000 (ish) last names in the US,and I suggest the top 10 for any given code.
FFF - Encoded first name and middle initial
Look up your first name on this table:
| Name | Code | Name | Code | Name | Code |
|---|---|---|---|---|---|
| Albert | 20 | Frank | 260 | Marvin | 580 |
| Alice | 20 | George | 300 | Mary | 580 |
| Ann | 40 | Grace | 300 | Melvin | 600 |
| Anna | 40 | Harold | 340 | Mildred | 600 |
| Anne | 40 | Harriet | 340 | Patricia | 680 |
| Annie | 40 | Harry | 360 | Paul | 680 |
| Arthur | 40 | Hazel | 360 | Richard | 740 |
| Bernard | 80 | Helen | 380 | Robert | 760 |
| Bette | 80 | Henry | 380 | Ruby | 740 |
| Bettie | 80 | James | 440 | Ruth | 760 |
| Betty | 80 | Jane | 440 | Thelma | 820 |
| Carl | 120 | Jayne | 440 | Thomas | 820 |
| Catherine | 120 | Jean | 460 | Walter | 900 |
| Charles | 140 | Joan | 480 | Wanda | 900 |
| Dorthy | 180 | John | 460 | William | 920 |
| Edward | 220 | Joseph | 480 | Wilma | 920 |
| Elizabeth | 220 | Margaret | 560 | ||
| Florence | 260 | Martin | 560 | ||
| Donald | 180 | ||||
| Clara | 140 |
If you fail to find your name, look up your first initial on this table:
| Initial | Code | Initial | Code | Initial | Code | Initial | Code |
|---|---|---|---|---|---|---|---|
| A | 0 | H | 320 | O | 640 | V | 860 |
| B | 60 | I | 400 | P | 660 | W | 880 |
| C | 100 | J | 420 | Q | 700 | X | 940 |
| D | 160 | K | 500 | R | 720 | Y | 960 |
| E | 200 | L | 520 | S | 780 | Z | 980 |
| F | 240 | M | 540 | T | 800 | ||
| G | 280 | N | 620 | U | 840 |
Now look up your middle initial on this table:
| Initial | Code | Initial | Code | Initial | Code | Initial | Code |
|---|---|---|---|---|---|---|---|
| A | 1 | H | 8 | O | 14 | V | 18 |
| B | 2 | I | 9 | P | 15 | W | 19 |
| C | 3 | J | 10 | Q | 15 | X | 19 |
| D | 4 | K | 11 | R | 16 | Y | 19 |
| E | 5 | L | 12 | S | 17 | Z | 19 |
| F | 6 | M | 13 | T | 18 | ||
| G | 7 | N | 14 | U | 18 |
Now, if add together the code for either your first name (ifpossible) or your first initial to the code for your middleinital.
So, the example FFF code is 921. Looking it up, it's William or WilmaA.If it had been 001, we would simply know at the their initialsare A. A. Since the example was generated for 'William AndrewFakename' this is correct.
Y-Y - Your birth year
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The two numbers together represent the year of your birth. If you areborn in 1968, it should read '68'. This is the easiest information to pickout of a WDL, and is often used to spot fakes.
The example Y-Y code is 50. Mr. or Ms Fakename was born in 1950.
DDD - Month and day of birth and gender
This portion encodes the month and day you were born on. The generalequation is:
General: (birth_month - 1) * month_multiplier + birth_day + gender_mod
Florida: (birth_month - 1) * 40 + birth_day + (male:0, female: 500)
Illinois: (birth_month - 1) * 31 + birth_day + (male:0, female: 600)
Wisconsin: (birth_month - 1) * 40 + birth_day + (male:0, female: 500)
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birth_month is the number of months into the year, January is 1,December is 12.
month_multiplier varies by state. Illinois uses 31. Wisconsin andFlorida both use 40.
gender_mod varies by state. In Illinois men use 0, women use 600. InWisconsin and Florida men use 0, women use 500.
If the result is less than 100, add zeroes to the left side to make it 3digits. (So, January 1st is encoded as '001' for men in Illinois.)
Mr. or Ms Fakename's code is 094. Assuming we're looking at an Illinoislicense number, because that's less than 600, we know Mr. Fakename is male.His name is probably William and not Wilma. We can subtract 93 from that,which is 31 three times. So three months into the year, April. Thatleaves 1 left, which is the day. Mr. Fakename was born on April 1, 1950.
Overflow
Looking at this, may become clear that it is possible for two peoplewith similar names to get the exact same driver's license number. Forexample, if 'Joshua William Smith' and 'Jack Wayne Snoddy' were born on thesame day, they'll get the same Illinois drive's license number. This issolved with 'overflow' numbers, a simple sequential number can be appendedto each duplicate number to resolve the confusion.
Wisconsin prints a two digit overflow number on your license.As a result, the last two digits of your Wisconsin license numberrepresent the number of people who had the same license number asyou (ignoring the last two digits), when you got your license.
Illinois may have overflow digits, but if they do theinformation is not on your driver's license. This means that ifJoshua William Smith is wanted by police and his driver's licensenumber is flagged as such, Jack Wayne Snoddy may be brieflydetained while the police check their records to sort out theshared number. I have been told that Illinois state databasesactually include a two or three digit number to distinguishbetween different people with the same license. Onecorrespondent told me that their friend was pulled over for aminor traffic violation and was arrested as someone else. He satin the police car for a while while they sorted it out. He andthe other person had the exact same number; the other guy was awanted man, but my correspondent's friend did not.
Florida prints a single digit overflow number on your license.As a result, the last digit of your Florida license numberrepresent the number of people who had the same license number asyou (ignoring the last two digits), when you got your license.
Urban Legends about Florida's Last Digit
There are number of urban legends about Florida driver'slicense overflow numbers. The legends claim that the numberrepresents the number of times you've been arrested for drunkdriving (DUI, DWI, etc), the number of times you've convicted fordrunk driving, the number of times you've been convicted of a felony, that it encodes driving restrictions (0means no restrictions, 1 means corrective eyewear is required),or that it encodes gender.
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I don't believe it.
First, why bother? Who needs to know this information? Not acop arresting you; they'll arrest a drunk driver no matter what.Prior convictions only matter when you're in front of a judge,and the judge has access to the database. Unless Florida doessomething particularly weird, driving restrictions are (in moststates) clearly printed elsewhere, and the cop is going to runyour license anyway and will learn any restrictions that way.
Second, as noted above: if you don'thave overflow digits, you'll occasionally two people with theexact same driver's license number. Can you imagine what a messthat would be? Indeed, it's a mess in Illinois, see above.
Third, Wisconsin uses the exactsame system, and as a native of Wisconsin I am absolutely certainit is correct. (Oddly, there are no urban legends about this inWisconsin. It appears to be a strictly Florida thing.)
Finally, I've had people claim with absolute certainty all ofthe above. They can't all be true.My hypothesis matchesWisconsin's behavior and solves an important problem, so I'msticking with it until I see better evidence for anotherhypothesis.
Now, it's entirely possiblethat I'm wrong. If you're sure that I am, and can point me to areliable source to support an alternate theory, please let me know!Much of the information on this page comes from people whocontacted me with corrections.
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