Geocode USA and Canada

Register for Datasets APIs

Notice Board

+1 North American Telephone Area Codes

  1. (264) , ANGUILLA
  3. (242) , BAHAMAS
  4. (246) , BARBADOS
  5. (441) , BERMUDA
  7. (587) AB, CANADA
  8. (403) AB, CANADA
  9. (780) AB, CANADA
  10. (250) BC, CANADA
  11. (778) BC, CANADA
  12. (604) BC, CANADA
  13. (204) MB, CANADA
  14. (506) NB, CANADA
  15. (709) NL, CANADA
  16. (867) NT, CANADA
  17. (289) ON, CANADA
  18. (226) ON, CANADA
  19. (613) ON, CANADA
  20. (416) ON, CANADA
  21. (647) ON, CANADA
  22. (905) ON, CANADA
  23. (705) ON, CANADA
  24. (519) ON, CANADA
  25. (807) ON, CANADA
  26. (581) QC, CANADA
  27. (418) QC, CANADA
  28. (450) QC, CANADA
  29. (819) QC, CANADA
  30. (514) QC, CANADA
  31. (438) QC, CANADA
  32. (306) SK, CANADA
  33. (345) , CAYMAN ISLANDS
  34. (767) , DOMINICA
  37. (473) , GRENADA
  38. (876) , JAMAICA
  39. (664) , MONTSERRAT
  42. (758) , SAINT LUCIA
  46. (907) AK, UNITED STATES
  47. (334) AL, UNITED STATES
  48. (251) AL, UNITED STATES
  49. (256) AL, UNITED STATES
  50. (205) AL, UNITED STATES
  51. (501) AR, UNITED STATES
  52. (479) AR, UNITED STATES
  53. (870) AR, UNITED STATES
  54. (684) AS, UNITED STATES
  55. (928) AZ, UNITED STATES
  56. (520) AZ, UNITED STATES
  57. (480) AZ, UNITED STATES
  58. (623) AZ, UNITED STATES
  59. (602) AZ, UNITED STATES
  60. (650) CA, UNITED STATES
  61. (714) CA, UNITED STATES
  62. (562) CA, UNITED STATES
  63. (619) CA, UNITED STATES
  64. (831) CA, UNITED STATES
  65. (657) CA, UNITED STATES
  66. (909) CA, UNITED STATES
  67. (530) CA, UNITED STATES
  68. (510) CA, UNITED STATES
  69. (415) CA, UNITED STATES
  70. (951) CA, UNITED STATES
  71. (213) CA, UNITED STATES
  72. (424) CA, UNITED STATES
  73. (209) CA, UNITED STATES
  74. (949) CA, UNITED STATES
  75. (559) CA, UNITED STATES
  76. (310) CA, UNITED STATES
  77. (626) CA, UNITED STATES
  78. (661) CA, UNITED STATES
  79. (707) CA, UNITED STATES
  80. (408) CA, UNITED STATES
  81. (760) CA, UNITED STATES
  82. (323) CA, UNITED STATES
  83. (805) CA, UNITED STATES
  84. (818) CA, UNITED STATES
  85. (858) CA, UNITED STATES
  86. (916) CA, UNITED STATES
  87. (925) CA, UNITED STATES
  88. (719) CO, UNITED STATES
  89. (720) CO, UNITED STATES
  90. (970) CO, UNITED STATES
  91. (303) CO, UNITED STATES
  92. (860) CT, UNITED STATES
  93. (959) CT, UNITED STATES
  94. (203) CT, UNITED STATES
  95. (475) CT, UNITED STATES
  96. (202) DC, UNITED STATES
  97. (302) DE, UNITED STATES
  98. (727) FL, UNITED STATES
  99. (941) FL, UNITED STATES
  100. (407) FL, UNITED STATES
  101. (352) FL, UNITED STATES
  102. (863) FL, UNITED STATES
  103. (813) FL, UNITED STATES
  104. (754) FL, UNITED STATES
  105. (305) FL, UNITED STATES
  106. (954) FL, UNITED STATES
  107. (772) FL, UNITED STATES
  108. (786) FL, UNITED STATES
  109. (904) FL, UNITED STATES
  110. (850) FL, UNITED STATES
  111. (239) FL, UNITED STATES
  112. (561) FL, UNITED STATES
  113. (386) FL, UNITED STATES
  114. (321) FL, UNITED STATES
  115. (470) GA, UNITED STATES
  116. (229) GA, UNITED STATES
  117. (770) GA, UNITED STATES
  118. (912) GA, UNITED STATES
  119. (478) GA, UNITED STATES
  120. (706) GA, UNITED STATES
  121. (762) GA, UNITED STATES
  122. (404) GA, UNITED STATES
  123. (678) GA, UNITED STATES
  124. (671) GU, UNITED STATES
  125. (808) HI, UNITED STATES
  126. (563) IA, UNITED STATES
  127. (712) IA, UNITED STATES
  128. (515) IA, UNITED STATES
  129. (319) IA, UNITED STATES
  130. (641) IA, UNITED STATES
  131. (208) ID, UNITED STATES
  132. (773) IL, UNITED STATES
  133. (847) IL, UNITED STATES
  134. (312) IL, UNITED STATES
  135. (309) IL, UNITED STATES
  136. (217) IL, UNITED STATES
  137. (224) IL, UNITED STATES
  138. (815) IL, UNITED STATES
  139. (331) IL, UNITED STATES
  140. (630) IL, UNITED STATES
  141. (618) IL, UNITED STATES
  142. (708) IL, UNITED STATES
  143. (779) IL, UNITED STATES
  144. (765) IN, UNITED STATES
  145. (260) IN, UNITED STATES
  146. (574) IN, UNITED STATES
  147. (317) IN, UNITED STATES
  148. (219) IN, UNITED STATES
  149. (812) IN, UNITED STATES
  150. (620) KS, UNITED STATES
  151. (785) KS, UNITED STATES
  152. (913) KS, UNITED STATES
  153. (316) KS, UNITED STATES
  154. (502) KY, UNITED STATES
  155. (859) KY, UNITED STATES
  156. (270) KY, UNITED STATES
  157. (270) KY, UNITED STATES
  158. (364) KY, UNITED STATES
  159. (606) KY, UNITED STATES
  160. (225) LA, UNITED STATES
  161. (985) LA, UNITED STATES
  162. (337) LA, UNITED STATES
  163. (318) LA, UNITED STATES
  164. (504) LA, UNITED STATES
  165. (774) MA, UNITED STATES
  166. (339) MA, UNITED STATES
  167. (978) MA, UNITED STATES
  168. (413) MA, UNITED STATES
  169. (508) MA, UNITED STATES
  170. (617) MA, UNITED STATES
  171. (781) MA, UNITED STATES
  172. (857) MA, UNITED STATES
  173. (351) MA, UNITED STATES
  174. (443) MD, UNITED STATES
  175. (240) MD, UNITED STATES
  176. (301) MD, UNITED STATES
  177. (410) MD, UNITED STATES
  178. (207) ME, UNITED STATES
  179. (269) MI, UNITED STATES
  180. (517) MI, UNITED STATES
  181. (734) MI, UNITED STATES
  182. (586) MI, UNITED STATES
  183. (313) MI, UNITED STATES
  184. (947) MI, UNITED STATES
  185. (810) MI, UNITED STATES
  186. (231) MI, UNITED STATES
  187. (616) MI, UNITED STATES
  188. (248) MI, UNITED STATES
  189. (989) MI, UNITED STATES
  190. (906) MI, UNITED STATES
  191. (612) MN, UNITED STATES
  192. (507) MN, UNITED STATES
  193. (218) MN, UNITED STATES
  194. (651) MN, UNITED STATES
  195. (320) MN, UNITED STATES
  196. (763) MN, UNITED STATES
  197. (952) MN, UNITED STATES
  198. (314) MO, UNITED STATES
  199. (660) MO, UNITED STATES
  200. (816) MO, UNITED STATES
  201. (573) MO, UNITED STATES
  202. (417) MO, UNITED STATES
  203. (636) MO, UNITED STATES
  204. (670) MP, UNITED STATES
  205. (769) MS, UNITED STATES
  206. (601) MS, UNITED STATES
  207. (228) MS, UNITED STATES
  208. (662) MS, UNITED STATES
  209. (406) MT, UNITED STATES
  210. (828) NC, UNITED STATES
  211. (910) NC, UNITED STATES
  212. (919) NC, UNITED STATES
  213. (336) NC, UNITED STATES
  214. (252) NC, UNITED STATES
  215. (980) NC, UNITED STATES
  216. (704) NC, UNITED STATES
  217. (701) ND, UNITED STATES
  218. (308) NE, UNITED STATES
  219. (402) NE, UNITED STATES
  220. (603) NH, UNITED STATES
  221. (201) NJ, UNITED STATES
  222. (856) NJ, UNITED STATES
  223. (908) NJ, UNITED STATES
  224. (862) NJ, UNITED STATES
  225. (551) NJ, UNITED STATES
  226. (609) NJ, UNITED STATES
  227. (973) NJ, UNITED STATES
  228. (848) NJ, UNITED STATES
  229. (732) NJ, UNITED STATES
  230. (505) NM, UNITED STATES
  231. (575) NM, UNITED STATES
  232. (775) NV, UNITED STATES
  233. (702) NV, UNITED STATES
  234. (607) NY, UNITED STATES
  235. (212) NY, UNITED STATES
  236. (518) NY, UNITED STATES
  237. (315) NY, UNITED STATES
  238. (914) NY, UNITED STATES
  239. (718) NY, UNITED STATES
  240. (631) NY, UNITED STATES
  241. (917) NY, UNITED STATES
  242. (516) NY, UNITED STATES
  243. (347) NY, UNITED STATES
  244. (585) NY, UNITED STATES
  245. (716) NY, UNITED STATES
  246. (646) NY, UNITED STATES
  247. (845) NY, UNITED STATES
  248. (513) OH, UNITED STATES
  249. (614) OH, UNITED STATES
  250. (330) OH, UNITED STATES
  251. (937) OH, UNITED STATES
  252. (567) OH, UNITED STATES
  253. (440) OH, UNITED STATES
  254. (419) OH, UNITED STATES
  255. (216) OH, UNITED STATES
  256. (740) OH, UNITED STATES
  257. (234) OH, UNITED STATES
  258. (918) OK, UNITED STATES
  259. (580) OK, UNITED STATES
  260. (405) OK, UNITED STATES
  261. (503) OR, UNITED STATES
  262. (541) OR, UNITED STATES
  263. (971) OR, UNITED STATES
  264. (717) PA, UNITED STATES
  265. (267) PA, UNITED STATES
  266. (814) PA, UNITED STATES
  267. (878) PA, UNITED STATES
  268. (215) PA, UNITED STATES
  269. (610) PA, UNITED STATES
  270. (445) PA, UNITED STATES
  271. (835) PA, UNITED STATES
  272. (412) PA, UNITED STATES
  273. (484) PA, UNITED STATES
  274. (570) PA, UNITED STATES
  275. (724) PA, UNITED STATES
  276. (939) PR, UNITED STATES
  277. (787) PR, UNITED STATES
  278. (401) RI, UNITED STATES
  279. (864) SC, UNITED STATES
  280. (843) SC, UNITED STATES
  281. (803) SC, UNITED STATES
  282. (605) SD, UNITED STATES
  283. (865) TN, UNITED STATES
  284. (901) TN, UNITED STATES
  285. (931) TN, UNITED STATES
  286. (731) TN, UNITED STATES
  287. (615) TN, UNITED STATES
  288. (423) TN, UNITED STATES
  289. (281) TX, UNITED STATES
  290. (830) TX, UNITED STATES
  291. (254) TX, UNITED STATES
  292. (210) TX, UNITED STATES
  293. (432) TX, UNITED STATES
  294. (361) TX, UNITED STATES
  295. (713) TX, UNITED STATES
  296. (469) TX, UNITED STATES
  297. (512) TX, UNITED STATES
  298. (936) TX, UNITED STATES
  299. (940) TX, UNITED STATES
  300. (979) TX, UNITED STATES
  301. (972) TX, UNITED STATES
  302. (832) TX, UNITED STATES
  303. (903) TX, UNITED STATES
  304. (409) TX, UNITED STATES
  305. (915) TX, UNITED STATES
  306. (325) TX, UNITED STATES
  307. (956) TX, UNITED STATES
  308. (214) TX, UNITED STATES
  309. (682) TX, UNITED STATES
  310. (806) TX, UNITED STATES
  311. (817) TX, UNITED STATES
  312. (430) TX, UNITED STATES
  313. (385) UT, UNITED STATES
  314. (435) UT, UNITED STATES
  315. (801) UT, UNITED STATES
  316. (804) VA, UNITED STATES
  317. (276) VA, UNITED STATES
  318. (540) VA, UNITED STATES
  319. (757) VA, UNITED STATES
  320. (703) VA, UNITED STATES
  321. (434) VA, UNITED STATES
  322. (571) VA, UNITED STATES
  323. (340) VI, UNITED STATES
  324. (802) VT, UNITED STATES
  325. (206) WA, UNITED STATES
  326. (425) WA, UNITED STATES
  327. (509) WA, UNITED STATES
  328. (253) WA, UNITED STATES
  329. (360) WA, UNITED STATES
  330. (262) WI, UNITED STATES
  331. (715) WI, UNITED STATES
  332. (414) WI, UNITED STATES
  333. (608) WI, UNITED STATES
  334. (920) WI, UNITED STATES
  335. (304) WV, UNITED STATES
  336. (307) WY, UNITED STATES
Autocomplete Canadian Postal Addresses.May-1-2020:

We've added an autocomplete feature for partially entered Canadian postal addresses.
For eg: "1435 prince of" => "1435 PRINCE OF WALES DR, Ottawa, ON, K2C1N5". See the API for implementation details. Demo is offering free licenses to help with the response to COVID-19.March-10-2020: has always offered free licenses to non-for-profit users, including those working on COVID-19 research or projects. Contact us.

Edit Canadian Postal Code PolygonsJanuary-1-2020:

You may update your postal code polygon directly on

For example, K2C1N5

Accurate Canadian Postal Code PolygonsNovember-25-2019:

We've re-vamped our postal code polygon calculation algorithm, resulting in a much more accurate polygonal representation of the crowdsourced Canadian Postal Code Dataset.

For example, This is a Shapefile Sample for the V3S FSA

US Address Cleanup and Standardization with Coding Accuracy Support System (CASS)May-7-2018: Although we have been offering this functionality for some time, we have only recently applied for Coding Accuracy Support System (CASS) certification with the USPS.

The geocoding engine for the USA corrects and standardizes the following:

  • City and street name misspellings
  • Street suffixes such as Way, Court, Terrace, Avenue, East, West, South, North .. etc
  • ZIP code and ZIP+4
For example:

The misspelled and incomplete address:


Is changed to:

  PASADENA CA 91103-3069

Due to customer demand, we intend to renew our CASS Certification each year from now henceforth with the USPS to meet current CASS Certification cycle requirements.

Statistics Canada Census 2016November-6-2017: We've integrated Statistics Canada Census 2016 data into our geocoding responses. You can now look up dissemination area data and more from street address lookups, postal codes and street intersections.

Staying Up to DateSeptember-21-2017: We have added a seamless process for integrating street data from new developments into (for both USA and Canada)
For example, 102 Kestrel ST, GLOUCESTER, ON is a new street. As soon as this new street was named, it was added on!
This address can not be found on either Bing Maps, Google Maps, Here and a few more. It probably won't be there for a while - depending on how frequently they update their DB.
Bottom line, if your GPS can't find it, try

Additions to the Postal Code DatasetSeptember-1-2017: We have added more detailed information to our Canada Postal Address Database - Type of Address, Unit and count. Bringing the total to 18592287 records.
"aType" is the address type. It takes one of two values: "Res" -> Residential Address, or "NonRes" -> Non Residential.
"Unit" is the unit/apartment/suite/etc number (if applicable.)
"Count" is the number of units/apartments/suites/etc in the address.

Innovation Science and Economic Development Canada (ISED) 25 km2 hexagons to postal codesJune-8-2017: We have added the Innovation Science and Economic Development Canada (ISED) 25 km2 hexagons to The Canadian Postal Codes Dataset.

For example, K2C1N5 - ON45360757 - Ottawa.

For more information see Digital Canada 150

This data is also available for download as part of the Canadian Postal Code Dataset Product linking the 2016 StatsCan Census - Boundary files to postal codes.

More Census Data for Canadian Postal CodesMay-17-2017: We've integrated the latest Census Data from Statistics Canada into our Canadian Postal Code Dataset.

For example, the Federal Electoral District version 2013 for K2C1N5.

This data is also available for download as part of the Canadian Postal Code Dataset Product.

Bash one liner for batch geocoding CSV/Text filesSeptember-3-2016: Of all the various clients interfacing with our geocoding API, the simplest one deserves some praise. Here is a bash one liner that takes as input a CSV file of locations, and outputs the file with the location information appended at the end of each line:
while IFS='' read -r line || [[ -n "$line" ]]; do
    echo $line,`curl -X POST -d locate="$line" -d geoit="csv"`;
done < "$1"
Save as then chmod a+x then run it as:
./ input.csv>output.csv

Your input file might look something like:

20 WYPER SQ , Toronto, ON M1S0B3
415 LAKEWAY, Ding Dong, TX 76549
Yonge and Dundas, Toronto
and the output


20 WYPER SQ , Toronto, ON M1S0B3,200,1,43.790920,-79.245789
415 LAKEWAY, Ding Dong, TX 76549,200,0.8,30.976936,-97.817796
Yonge and Dundas, Toronto,200,0.9,43.655778,-79.380650
Four columns were appended to the input file. The status (200 success), the confidence score (a number between 0 and 1, with 1 being best match), the Latitude and the Longitude.

Batch Geocode / GeoJson and GeoCluster optionsAugust-15-2016: You can now export your batch geocoded files as GeoJson or view on a map as a Geo Cluster.

Click here for more information.

Crowdsourced Postal Code Data and more Census InformationJuly-15-2016: We've added Dissemination area codes and Federal electoral district data.

Click Here for more information.

Crowdsourced Postal Code Data and Census InformationJune-1-2016: We've added a new file to our crowdsourced postal code dataset, the Crowdsourced Postal Code Data and Census Information File. This links postal codes to census information. The census data we are including are: "CTUID","CTNAME","CMAUID","CMANAME","CMATYPE","CMAPUID".
Click Here for more information.

Accurate GeocodingFebruary-12-2016: has come a long way to be the most accurate geocoding service in North America (99% coverage and 94% accuracy rate in both USA and Canada.)
Those numbers can be verified independently by a) obtaining a random set of locations from Foursquare with a large number of checkins - i.e. ground truth, b) Geocoding each location and comparing the result to the Foursquare location which must be accurate with a very high probability (because it is highly unlikely that when someone checks in to a place, their device sends the wrong latitude, longitude.)
I've also compared other geocoding services using the same method, with Google Geocoder coming a close second (99% coverage, 93% accuracy)
You can download my test data here: (this data was generated as part of a geocoding talk I gave at Fosdem 2016: Geocoding on the cloud)
There is a ways to go to 100% coverage and 100% accuracy, still.

Fulltext Geocoding - Extracting and Geocoding Locations from free form textJanuary-27-2016: We have a released a Fulltext Geocoder, which matches and extracts one or more locations from a body of text, such as street addresses, street intersections and city names. The matches are ordered on confidence score and may be obtained in XML, CSV, JSON or Web format.
Currently it extracts North American locations (Canada, USA and Mexico), but more countries will be added soon based on the free data repo.
Example: This and That and the Other street in Porters Lake Nova Scotia

Fulltext Geocoding references:

RoofTop vs InterpolatedDecember-18-2015:
A rooftop result is when an exact match to a single address is found (this result is generally considered to be more accurate, because the location is placed at the middle of the "roof" of the property at that address, hence the name "rooftop").
An interpolated result is when the location is estimated to be between two known points (hence the name "interpolated")
For example:
  1. 2525 Olympic ST, SPRINGFIELD, OR 97477 (Rooftop)
  2. 2524 Olympic ST, SPRINGFIELD, OR 97477 (Interpolated)
(The rooftop has Confidence Score: 1, while the interpolated result has Confidence Score: 0.9) Rooftop always has Confidence Score = 1, while interpolated less then 1.

Canadian Parcel Plan/Block/Lot GeocodingNovember-30-2015: Parcel Geocoding for Canada is now available using open data from NRCAN and AltaLIS

North American Telephone Area Codes and Time ZonesNovember-20-2015: We've incorporated North American Telephone Area Codes and Time Zones with reverse geocoding based on open data from UCLA. For example: Area Code 506. These data is now provided in the API and Data Products such as the Canadian Postal Code Datasets.

TIGER/Line Shapefiles - New 2015 ShapefilesNovember-15-2015: We have integrated the TIGER/Line Shapefiles - New 2015 Shapefiles into the US geocoding engine. (We convert the Tiger data into SQL then process it into our data structures. If you want to download a SQL version of the latest Tiger Line go to our Free Data Download Page.) We've also updated our zip code polygons. Click here for the complete zip code compass.

Geocoding MexicoNovember-06-2015: Geocoder is expanding to include Mexico. Starting with reverse geocoding for Mexico (beta), eg,,-99.1685782?geoit=xml we will gradually implement all geocoding functionalities we currently offer for the USA and Canada, into Mexico, making the most complete geocoding solution for North America (Canada, the United States and Mexico).

Geocode.xyzAugust-29-2015: We are expanding our coverage to Europe, starting with, a free Geocoder for Spain based on free and open data, such as Spain's cadastral data released by Portal de la Direccion General del Catastro.

Amazon Cloud GeocoderAugust-3-2015: We've partnered with Amazon Web Services to provide a cloud based geocoder.
AWS Marketplace Forward and Reverse Geocoder | API

FoodPages Neighborhood DataJuly-29-2015: We have added the crowdsourced neighborhood data(for Canada) and crowdsourced neighborhood data(for USA) into our main dataset. (Available for download on and

Neighborhood and Postal Code PolygonsJune-19-2015: We've cleaned up our postal code polygon data and fitted them nicely inside neighborhood polygons. Both datasets are now available for download.
(Some postal code polygons are very large, the largest of them all is J0K3K0. So, you will not find every postal code polygon inside some neighborhood polygon.)

Neighborhood DataJune-15-2015: We've merged our neighborhood data with the excellent dataset from quattroshapes ( to give you the widest coverage of North American neighborhoods on our reverse geocoding port.

Free Data License UpgradeJune-11-2015: We've upgraded our free data license to something less restrictive: Creative Commons Licence
This work is licensed under a Creative Commons Attribution 2.5 Canada License.

State of - More Features, Coverage & AccuracyMay-15-2015: Here is what has kept us busy recently:
  • Expanding and improving our bulk geocoding service. It can now handle uploads of large files (>1M records), and it runs faster (by running the optimal number of parallel processes). Try it.
  • Address validation has been one of our earliest features (since 2005). We now return a "standard format" of an input location string with every query by default. This standardization has been expanded to other inputs (such as street intersections).
  • More data sources backing This is the most important addition. We have imported new datasets from municipalities (Toronto, Vancouver, Region of Peel, Niagara Falls, Halifax, etc). We now have an automated process that imports new data as they are released by these sources, converts them from their various cartographic projections to lat,lon and standardizes their address location entities. More Accurate Data = More Accurate Geocoding. And more coverage. (as an added bonus many municipalities also publish their full list of municipal addresses, including the postal codes.)

Fun with Maps - Visualizing DataFeb-1-2015: The batch geocoding port converts your spreadsheet data into a map that can be shared publicly (or privately if you password-protect the map). Use this tool to upload your files and visualize on a map anything that we can geocode.

Here are some datasets we have visualized using Batch Geocoding.
  1. A map visualizing the location of most frequent users (based on ip address) Click to view IP Addresses in North America
  2. A map visualizing free street parking. Click to view Free Street Parking in Toronto (Calculated using the city of Toronto street parking public data and geocoder's street address database).
You may experiment with these maps by using our online mapping tool to set map styles and export maps in pdf or png formats.
(Wait a few seconds for the maps to render. There are over 50,000 points in each sample)

New Fuzzy MatchJan-26-2015: Try our new fuzzy match algorithm: 151 front st w, twrwntw, on or Intersection of Blue Ridge Parkway and Virginia Route 612, VA

PN, PP, NP, NN Codes for allJan-23-2015: Let's solve the problem of zip/postal/etc codes around the world. Let's invent a simple, intuitive schema that works everywhere - a zip code based on the latitude/longitude pairs of a place. For example, my zip code is P45x3691N75x7007 which translates neatly into 45.3691,-75.7007, the latitude longitude pair of my location. (also 4 digits after the decimal point are enough)
The letter 'P' means 'Positive' latitude and 'N' Negative longitude. So, for someone in the southern hemisphere 'P' becomes 'N', and so on. What could be so hard? It does have a few more symbols than the US Zip+9 code (7), however if we discount the repeating letters ('P','N' and 'x' representing the decimal point) the difference is only 3! Not bad! Considering nobody can possibly claim copyright over this scheme. Or can they?

PS. Anticipating widespread acceptance, geocoder is currently supporting this new scheme: Check out my Geo-Code P45x3691N75x7007 (suggestions, improvements, enhancements of this scheme are welcome. Everything in this site is licensed under the Creative Commons (CC) License.)

Geocoding Confidence ScoreMay-17-2014: The Geocoding Confidence Score is a number representing our accuracy estimate on a geocoding request. This number ranges from 1 to 0. A higher score indicates a closer match (A score of 1 meaning best match accuracy.) A result with confidence score less than 0.5 is never returned to the user (it will most likely result in a suggestion being returned), except for ip address geocoding where rough approximations are allowed as in most cases we are looking at city level accuracy.
This number is now returned with every type of geocoding request. In the XML and Jsonp ports the new parameter is called confidence.

Some Numbers on accuracy April-7-2014: A recent random selection study of our ip address geocoding (which works only for ip addresses in North America), revealed that the estimation is about 80% accurate at city level, 50% accurate at street address level. All the data used for ip address geocoding have been crowdsourced from the origin of accesses on our XML and Jsonp ports. If you have further questions or want to test this new service, let us know at [email protected]

SSL March-31-2014: Now available at SSL Certificate

Rooftop Geocoding Dec-05-2013: Rooftop geocoding is an often requested feature. We are rolling out a new version of the software for major Canadian and US cities, which defaults to rooftop geocoding wherever possible. For example: 1658 SILVERTREE, Ottawa, ON. The differences will often be subtle, with the rooftop option being the most accurate result compared to interpolation. A new parameter in the XML, Jsonp and CSV interfaces will mark the distinction in the result. Read the API documentation for more information.

Further Explanation - interpolation is the process of estimating where on the street a particular address location is. There are several upsides of the rooftop method, most importantly: The point will be properly placed on the middle of the roof of the given address as opposed to being placed in the middle of the road (which is often the case with interpolation.) Another big advantage is better coverage. If a location belongs to a recently built house for instance, most current geocoders or gps devices will not find it, but the municipality has that data up to date because, well, everybody must pay the property tax. Here is an example address that I was not able to find on other services 7636 GREEN VISTA GT , Niagara Falls, ON

The data for rooftop geocoding is provided by various open sources:

It is mostly pretty good data, but, in Canada it is missing postal codes (with a few notable exceptions such as District of North Vancouver / ). If the response of a rooftop geocoding request includes a postal code, in most cases it has been estimated by our algorithm and it may not always be accurate. (this is an ongoing issue with all the geocoders I know of, google has even resorted to giving just the first three digits of the postal code on an address query, as their failure rate was reportedly over 50%)
The situation with the US data is slightly better, but still... Here is a recent blog post about that.

One last thing, you can also geocode locations directly on a map. Enjoy!

USA Address Geocoding Match Rates Nov-27-2013: Geocoding of USA locations remains our most used API with about 65% of all requests, in spite of the larger number of alternatives for accurate and high coverage US geocoding. Recently we ran a test to measure our coverage against a dataset of over 50 million USA addresses. Overall, about 94% of all addresses were geocoded with a level 1 confidence score, which is pretty good compared to the coverage of other major vendors.

Batch Geocoding Sept-30-2013: We've added a new batch geocoding tool. You must have an Account and Log In to use this tool.

How it works: You upload a text only csv file -> We geocode and standardize the location information on each line -> You log in to download the processed file. Batch geocoding is available for both USA locations, addresses and zip codes and for Canadian locations, addresses and postal codes.

Strict Mode Sept-15-2013: A common problem with geocoding is ambiguity. The geocoding engine often makes probabilistic choices when it receives ambigous input, for example: Vancouver. However, when you don't want the geocoding engine to guess you may use the strict mode. Here is an example that gives the two possibilities that may be returned :


Ambiguity in input. Several possible cities match your query.

vancouver, WA
vancouver, BC

Use the strict mode whenever possible. Or include the province or state name or abbreviation to remove the ambiguity.,wa?mapi=1
I pointed out this example because it concerns two cities of similar size that are in close geographical proximity. An even better example of ambiguity is Springfield.

Geocoding IP addresses Sept-7-2013: Geocoding of IP addresses is an oft requested feature. We now have collected sufficient data to generate our own ip geolocation database. As a result we are releasing a limited version of ip location services for Canada and the USA. (Sorry to those looking for more coverage, We have no data for countries outside of North America)

While this is still an experimental feature, initial tests seem promissing. Give it a try. We are looking forward to your feedback. (Just enter an ip address in the location parameter. The API remains the same as in the reverse geocoding API) Web Example | XML Example | Jsonp Example

Major Upgrade Aug-1-2013: A new version of the software has been released fixing many bugs, mostly in reverse geocoding. The new version also implements the "agent-based paradigm(1)" of geocoding for better match rates in locations described by street addresses or street intersections. We have also integrated the latest version of Statistics Canada Road Network Files. (released on 2013-07-22)

Crowdsourced Canadian Postal Code Polygon File May-5-2013: We have released our crowdsourced postal code polygon file under the terms of the Open Database License (ODbL)

Neighborhood Boundaries and Polygons Mar-15-2013: This is one of our most requested new features.
For now it will only work for the Toronto, Montreal and Vancouver greater metropolitan areas.
(for example: once there click on boundary to see the neighborhood polygon boundary.)
This feature is also available on the premium XML interface for the time being.

Zip & Postal Code Polygons Jan-3-2013: We have made our zip and postal code polygons available. Lookup a zip code (USA) or postal code (Canada) and click on the code to view the polygon.

New Look Dec-30-2012: public web page has a new look!

more Coverage / New Datasets Nov-18-2012: New datasets from Statistics Canada have been merged with the existing database.

more JSONp May-04-2012: JSONp has been extended to support zip+4 codes in USA and also improved on existing functionality.

JSON October-08-2010: JSON has been added as an optional output option.

New functionalities August-24-2008: You can now perform batch lookups (standalone server only), retrieve all streets that cross a particular street, and much more... See our documentation section.

Quality enhancements January-09-2008: New datasets integrated into our software

Turn-key standalone geocoder for Canada and the USA June-06-2007: We have released a new standalone geocoding solution, emulating all the functionality of in a closed network environment as a Turn-key solution.

Various Enhancements April-29-2007: Many improvements & additions
  • We have improved the coverage and quality of our geocoding engine by recognizing non-standard city names (for eg: NYC)
  • The reverse geocoding engine also returns the road or highway having the smallest vertical distance from the input point in addition to the nearest street civic address. (for eg: This Point)
  • We are also adding more reverse geocoding info such as returning the closest two streets on either side of a given location. This feature is still in beta.
In addition to new functionality we are re-designing parts of the algorithm to improve performance. Stay tuned.

More info for Reverse Geocoding USA March-21-2007: The reverse geocoder for the USA has been extended to return the county and metro area information.

Additions to Reverse Geocoding for Canada and USA Dec-14-2006: The reverse geocoder has been extended to return the nearest major street intersection to a given point, in addition to the nearest intersection for both the US and Canada.

Reverse Geocoding and Forward Geocoding for USA Sept-24-2006: We have added reverse geocoding functionality for the United States, expanding our coverage to most of North America (except Mexico). Similarly Forward geocoding for the US works as advertised on the API pages.

Multiple suggestions for the xml port Sept-07-2006: Now you can enter a partial address and obtain a predefined number of suggestions. See the API page for details.

Suggestion System Addition for mis-spelled street names June-22-2006: The suggestion system now works for street intersection queries also. In case one or two mistyped street names are entered and the system can not find a fairly close match, then a suggestion may be returned with the correct spelling of both streets. See the API page for details.

More Backup and redundancy June-19-2006: A new redundant backup server has been installed. Now the geocoder service is backed up at two geographically distinct locations. The address of the backup server is

Reverse Geocoding Addition June-16-2006: The reverse geocoder can now return the nearest street corner for a latitude longitude pair. If you are using the xml interface you must send the corner=1 parameter to obtain nearby street intersection information. See the API documentation for more informations.

More Intersections March-25-2006: You can now locate the intersection of Highways with other Highways or streets.

Standard Address Formating Feb-25-2006: We now return the standard address formating with a successful request. If you use the xml api to obtain geocodes, use the parameter standard=1 to obtain a properly formated address too. See the API page for details.

Alternate Spelling of road names and city names Feb-01-2006: Use our suggestion system. If we can not find a mis-spelled location we will provide a sugestion with the correct spelling.

NEW! - Backup and Redundancy of the real-time xml port Jan-21-2006: We have added a backup service at an independent location from our main isp ( . What that means is that in the unlikely event of the main server ( being offline, you can redirect your queries to the redundant backup service:

Note: The backup location will _only_ process queries in the event of the main service being off-line. Otherwise it will simply re-direct your query to This is only intended to give more "peace of mind" for those who wish to integrate their applications in real-time with our geocoding port, and are worried of the eventuality of a service outage. In case you want to use this backup service you need to code a few extra lines of code into your application to call the backup service in case your application receives a networking error from the main service. _DO NOT_ use the backup service in case the main service can not locate a particular address. Both the main service and the backup service are identical in that respect! Contact us if you need further explanation.

Cross Street Geocoding! Oct-01-2005: Now you can also geocode street intersections.

NEW! Sept-11-2005: Due to popular demand we have added reverse geocoding.

1. ^ Hutchinson, Matthew J (2010). Developing an Agent-Based Framework for Intelligent Geocoding (Ph.D. thesis). Curtin University.