Address elements data An ideal resource for standardising and processing your data tables to improve quality, de-duplication rates and postal validation rates. This data resource contains strings found in global address data - street types / thoroughfare types, post office box strings, company types and so on. It is unique in its coverage and scope. This table, built by GRC Database Information, contains over 881000 records containing strings which are found in address data throughout the World. These strings include: Thoroughfare types (Street, Road, Avenue etc.) Building types (House, Cottage, Bungalow etc.) University strings (Univ., University of etc.) Sub-building indicators (Room, Floor, Gate etc.) Zonal indicators (Industrial Estate, Zone etc.) Settlement indicators (City, Village etc.) Post office box indicators (P.O. Box, Postfach, Boite Postal etc.) Indicators of man-made objects (Park, Garden, Dock etc.) Indicators of geographic locations (Hill, River, Mountain etc.) Biological indicators (Oak, Bird etc.) Company indicators (Airline, Manufacturer, Company etc.) Company legal forms (Ltd, PLC, Inc. etc.) Department indicators (Division, Department etc.) Directionals (North, South, East etc.) Personal name attention prefix (Attn., c/o etc.) Forms of address (Mr, Saint, Professor etc.) Job titles (Designer, Magistrate, Manager etc.) Personal names (Alfons, Winston, Charles etc.) Colours (Red, Blue etc.) Numbers (Three, Third etc.) Articles (The, a, an etc.) Prepositions (de, van, in etc.) Adjectives (Old, New, Large etc.) Obscenities and non-valid address entries (n/a, see e-mail etc.) Other (address components not able to be categorised elsewhere) Within each record, alternative forms in which the string can be written such as common misspellings, diacritical differences and casing differences, correct forms in upper- and mixed-case, and standardised forms in upper- and mixed case are presented. This table is ideal as a resource for standardising and processing your data tables to improve quality, de-duplication rates and postal validation rates. This table has been built through intense analysis of both real- World data sets and data sets which cover addresses for a whole country, or large parts thereof, such as postal tables. The table is being continually updated and improved. Full details of the table contents and the layout is provided in this documentation. Furthermore, basic counts for this version are provided in this spreadsheet. The data is provided in Windows code page 1252, complying to ISO8859-1, MS-DOS code page 850. Diacritical marks (accents) for most Western European languages are reproduced in the table. Thus, for Eastern European and non-European languages diacritical marks have been replaced with equivalent characters. Though our database systems can store Unicode data, we cannot enter it in normal use. We therefore provide fields with the same address strings with numeric Unicode place holders so that you can translate the data to Unicode should you wish to do so. Coverage The table has data for most of the World's countries, but the information is fuller for some countries than for others. As a guide, countries have been categorised according to coverage, as follows: A countries: over 10000 real world records have been analysed to create the tables for these countries: Algeria, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belgium, Benin, Bermuda, Brazil, Brunei, Bulgaria, Burkina Faso, Cambodia, Cameroon, Canada, Cayman Islands, Chile, China, Colombia, Congo (Brazzaville), Croatia, Cyprus, Czech Republic, Denmark, Egypt, Estonia, Ethiopia, Fiji, Finland, France, Gabon, Georgia, Germany, Greece, Guyana, Haiti, Hong Kong, Hungary, India, Indonesia, Iran, Ireland, Israel, Italy, Jamaica, Japan, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lithuania, Luxembourg, Macau, Malawi, Malaysia, Maldives, Mali, Malta, Mexico, Moldova, Morocco, Myanmar, Nepal, Netherlands, New Zealand, Niger, North Macedonia, Norway, Oman, Pakistan, Panama, Peru, Puerto Rico, Philippines, Poland, Portugal, Romania, Russia, Rwanda, Saudi Arabia, Senegal, Singapore, Slovakia, Slovenia, South Africa, South Korea, Spain, Sri Lanka, Sweden, Switzerland, Syria, Taiwan, Thailand, Togo, Tunisia, Turkey, Ukraine, United Arab Emirates, United Kingdom, United States of America, Venezuela, Vietnam. B countries: Between 1000 and 9999 real-world records for this country have been analysed to create these tables: Albania, Andorra, Angola, Anguilla, Antigua & Barbuda, Aruba, Bahrain, Belarus, Belize, Bhutan, Bolivia, Bonaire, Bosnia- Hercegovina, Botswana, British Virgin Islands, Burundi, Chad, Congo (Kinshasa), Costa Rica, Cuba, Curaçao, Djibouti, Dominica, Dominican Republic, Ecuador, El Salvador, Equatorial Guinea, French Polynesia, The Gambia, Ghana, Gibraltar, Grenada, Guadeloupe, Guatemala, Guernsey, Guinea, Honduras, Iceland, Iraq, Ivory Coast, Jersey, Jordan, Kazakhstan, Kenya, Laos, Liechtenstein, Madagascar, Martinique, Mauritania, Mauritius, Monaco, Mongolia, Montenegro, Mozambique, Namibia, New Caledonia, Nicaragua, Nigeria, Northern Mariana Islands, Papua New Guinea, Paraguay, Qatar, Réunion, St Eustatius, St Kitts & Nevis, St Lucia, St Vincent & The Grenadines, Serbia, Seychelles, Sint Maarten, Suriname, Tajikistan, Tanzania, Trinidad & Tobago, Turkmenistan, Turks & Caicos Islands, Uganda, United States Virgin Islands, Uruguay, Uzbekistan, Vanuatu, Venezuela, Western Sahara, Yemen, Zambia, Zimbabwe. C countries: Fewer than 1000 real-world records for this country have been analysed to create these tables: The remaining countries Filters You may choose to purchase data based on any filter which can be carried out using the available fields. For example, you might want: • All records for Switzerland. • United States street type records in English and Spanish. • The 100 most commonly occurring address strings for a given country. • Upper case strings only for a given country. • Strings which do not contain punctuation • and so on Please contact us with requests for counts or other information. Sample If you would like to see an example of the data, you can download here a sample of data pertaining to the German- language street type straße from a previous version. This is a Microsoft Excel spreadsheet file. If you are unable to read this format, please send us a message and we can provide this same data in another format. Kindly note: the ß letter in lower-case German is written SS in upper-case and is not used in Switzerland. Formats Data is held in Microsoft Visual FoxPro format, but can be provided also in these formats: FoxPro 2.x (dBase III+), pipe delimited text, tab delimited text, fixed column width text, and Excel (for small files (<15 000 records) only). Other delimiters are also possible, but as the data contains commas and quotation marks, we would advise against comma delimited format. Prices Prices are in euros and are charged per record according to the number of records requested at a price of EUR 0.04 per record. The whole file can be purchased for the discount price of EUR 3950 Updating of the file after an initial purchase is priced at 10% of the original price per quarter for all updates to the filter chosen, if updated each quarter. Otherwise, a full file update costs EUR 1450. This data is offered on a royalty-free basis for use in any way you wish, with this important proviso that the data may not be copied or distributed in any way whatsoever when it can, in normal use, be accessed by other users. In other words, if you would like to use this data in your software package, that is allowed provided users cannot get at, or export, the data themselves. You will be asked to agree to our terms and conditions when purchasing. Our terms, conditions and licensing structure can be view here. If you would like more information, or would like to request a count for any filter, please contact us. To purchase the full file, please contact us by e-mail If you have any questions about any of our products, or would like to order them, please contact us.

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