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Logo. Feature: Addresses
One example for Feature: Addresses
Used to provide address information for the building or facility.

Address information can be added to OpenStreetMap using a variety of methods, such as adding a simple node containing an address, adding address information to a building or site outline, or alternatively to an entrance node for the building.

Address schema

Karlsruhe Schema



You can normalize addr tags using this relation. Method opposite to Karlsruhe Schema, preferred in some territories.


Limited variant of Relation:street. Future of this relation is questioned by some mappers.

Using interpolation


As long as we don't have a node or building outline for each house(number) along a way, it's also possible to use automatic number interpolation. For that, draw a way connecting the existing house numbers and mark it with the type of interpolation as shown in the picture above. Additional tags such as addr:street=* are still added to the objects with the addr:housenumber=* tag, the interpolation way only gets the addr:interpolation=* tag.

For irregular missing house numbers (e.g., missing "13"), two ways need to be drawn (e.g., "1-11" and "15-25"). If there is a regular structure to the missing house numbers, for example, every other number is missing from a sequence (example for an odd way: 3401, 3405, 3409, etc.), use a numeric value with addr:interpolation=* to indicate the value to increment between house numbers. (Note: addr:interpolation=odd and addr:interpolation=even are just special cases of addr:interpolation=number, where number is 2, and the beginning node is odd or even, respectively.)

If there is a house number on a single node or single building polygon and that house number also appears as the result of an interpolation, software should handle this case gracefully and favour the individually tagged house number as the real position.

As seen in the example picture above, it's allowed to add nodes that do not have an integer value for their addr:housenumber tag somewhere in an odd/even/all interpolation (e.g., "12b"). Those will be ignored for the interpolation. However, endpoints of the interpolation way always have to follow the given interpolation rule!

You can use the interpolation method "alphabetic" to interpolate the alphabetical characters in the house number. So if you have all the houses from 7a to 7f in a row, you can connect them by a way tagged with addr:interpolation=alphabetic. You can not mix alphabetic interpolation with other interpolation methods. There is a special case for the Latin character set in which the first entry in the sequence is a number, followed by the number plus the letter A. For example, the range 25-25F means that the houses are numbered 25, 25A, 25B … 25F.

Some mappers use addr:interpolation=* on a single object to indicate that its addr:housenumber=* is to be treated as a range rather than an atomic label (discussed above). There is not a consensus on whether this is appropriate.

How to map addresses

Addresses can be tagged with addr:housenumber=* and the other addr:* keys. Tags can be added to

  • isolated nodes
  • nodes that are parts of building polygons ( = entrance=*s )
  • building=* polygons
  • on polygons representing the perimeter of the site.

Buildings with multiple house numbers

Ambox warning pn.svg There is currently no consensus on this. Here are some possibilities:

  • Create an address node for each housenumber and place each node somewhere on the building outline (or inside the building).
  • If house numbers are associated with individual entrances, tag those numbers to entrance=* (old version - building=entrance) nodes.
  • Separate the numbers by commas (e.g., "11,13,15").
  • Specify the range (e.g. "10-95"). Note that there is a risk of ambiguity between two meanings:
    • When such a range is officially used for the entire house, this is the preferred method. In this case "10-95" is simply a label like any other. In this and other cases, house numbers officially contain a dash and are not meant to be treated as special.
    • When such a range is meant to be interpreted as a list of addresses, use addr:interpolation=* (described below) to emphasise this. Some mappers will add a short "virtual" way which allows them to put addresses "10" and "95" on separate nodes as normal. Some mappers will specify the range "10-95" on a single object, where the addition of the addr:interpolation=* tag disambiguates it from the "simply a label" meaning, specifying that it is indeed to be treated as a range. Both approaches are used in practice and there is little consensus.
  • Create separate connected polygons for buildings with different addresses. You may do this even if they share walls, but splitting a corner house diagonally is not widely accepted.

Multiple buildings for one housenumber

This often happens in farms, factories or schools. In that case, it's possible to add a perimeter to the site which contains the addr tags and other general tags such as the name. This makes sure you have less redundancy in your data. To name the buildings, use addr:housename=*.

Using Address Interpolation for partial surveys

To indicate the accuracy level of an interpolation, you can use the optional tag addr:inclusion=* to represent the data missing from a house number survey.

  1. Not all houses are yet present, but the endpoints of the street are surveyed.
  2. The endpoints of the street are unknown, but a possible range can be estimated.
  3. House numbers are missing or damaged beyond recognition, so the interval cannot be correct.
  4. Use of US TIGER data to indicate all possible addresses on a block; useful for routing to the nearest block where no survey has been done.

The optional tag addr:inclusion identifies the accuracy of the data.

  • addr:inclusion=actual - Represents an accurate survey where calculating every house number from the address interpolation way results in an exact match with physical houses. This is the same meaning as omitting the addr:inclusion tag.
  • addr:inclusion=estimate - The address interpolation way may contain numbers that don't actually physically exist for typical reasons of cases 1-3 above. A survey has been performed and geolocation calculations will be within several physical house spaces from the actual house.
  • addr:inclusion=potential - The complete range of all possible address numbers on a block, although there may not physically be enough room on the block for that range of house numbers. Interpolation data from US TIGER is an example where geolocation would only be as near as one block.

Letters in house numbers (for example in Russia)

Russian addresses may have complex addr:housenumber=* values with letters, ex. "48А к2 с1" [1] (means house number 48А, building 2, construction 1). In some cases, official addresses have only "корпус" (building) numbers, so addr:housenumber=* will start with letter "к".

Country specific rules and sources



The Flemish Agiv (Agentschap voor Geografische Informatie Vlaanderen) provided access to their address database. The database isn't used for a direct import, but its data can be compared with OSM data to find differences. See the documentation for more info.


According to the Danish Bekendtgørelse om vejnavne og adresser (English: Ordinance regarding street names and addresses) all BBR units (lots) will be appointed an address node. If a building exists on the BBR unit the address node should be placed at in the middle of the longest side of the building 3 meters from the wall closest to the main (named) access road.

All Danish addresses are continuously checked by a bot and corrected against a service offered by the Danish government. Foreign cartographers mapping in Denmark should be wary that the Danish community does not approve merging of address nodes with buildings. Please be aware that the JOSM-plugin buildings_tools automatically merges address nodes with buildings unless it is reconfigured not to.

Even though bulk imports from public data in general has earlier led to bad results, the quality of the addresses from the Danish government is very high. The value of having millions of address nodes (with correct tags following the accepted addr scheme, even including several housenames - yup, this is also centralized information in Denmark) has led to a huge rise in the quality of the Danish data set, serving as a base for several QA tools (for finding "blank spots" on the map where addresses actually exist but no mapper has visited yet), e.g. matching addr:street up against name for nearby highways.


As of mid 2014, all norwegian official adresses has been released to the public for free. The data is of very high quality. There are updates released regularily. We use a tool to keep track of progress and merging changes. All of them has been imported as nodes with addr:housenumber, addr:street, addr:postcode and addr:city. We follow the danish pattern and do not merge the tags to to building outlines. There is no need for interpolations, so we remove them as we go along. We also prefer to keep the data in the nodes alone, so associatedStreet relations are also unwanted and deleted as we go along. This is is to ease later updates and have a very consistent dataset.


OSM France initiated an address centered project called "BANO" (Base d'Adresses Nationale Ouverte). This database is a composite from OSM address data, available opendata sets, cadastre data automatically extracted. The resulting composite dataset is available under ODbL and can be used to improve OSM adresses and street names. For more detail see WikiProject_France/WikiProject_Base_Adresses_Nationale_Ouverte_(BANO) and (in French)


Karlsruhe Schema with AddrN additions is widely used and supported by most software.

Maps and quality assurance tools

There are visualisations of address and building information available as an ITO Map layer and as a view within Geofabrik's OSM Inspector. These visualisations track building tags, and shows if any address/name data is present. OSM Inspector also provides checks on address interpolation ways. OSM Inspector is restricted to Europe. Coloured Streets is a JOSM mappaint style which is specialized on address data.

See also