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OSM Postcode Mapping for S9 5 Postal Sector

The circles on the map above are the postcode unit 'centriods' from Code-Point Open, under the Open Government Licence. The 'centriod' is calculated by taking the average of the coordinates of all the delivery points with that postcode, and then snapping that location to the nearest delivery point in that postcode. The data may be freely used in OpenStreetMap, but please make sure you understand it first. Also please only add postcodes to objects representing addressable entities; do not add the postcode centroids as themslves. Suggested source tag code-point_open

The circles are coloured by whether or not there is at least one OSM object with that value in its addr:postcode tag. Click on a point to see the postcode. The numbers in brackets are the number of OSM objects with that postcode.

The centroids are the location of the nearest 'delivery point' to the arithmetic mean of the coordinates of all the delivery points within that unit. Those points with a codepoint PQI greater than 40 are excluded from the map above. (Higher values are typically not geographically accurate. In particular, PQI=50 is used for new postcodes before the location has been determined. The location given for such postcodes seems to be derived from other existing postcodes with similar units letters, which may not be close to the new postcode.)

The pale blue lines from the circles join each Code-Point Open centroid to the mean coordiantes of all the OSM objects with that postcode. (For ways an relations, the centre of the rectangular bounding box is used at the coordinates for the OSM object.) Long lines may indicate missing or incorrect OSM objects for that postcode. In particular, if all the postcodes in a givne unit are correctly mapped, the circle should be located on the nearest delivery point within that postcode to the other end of the blue line.

The OSM data for the number of objects with each unit is usually updated once a day at about 10:15 UTC, with data from about 20:30 UTC the previous day. The data used to compute the OSM mean position is updated less frequently, usually about once a week.

District Sector Units Geo. Units Mapped %
S9 5 92 92 9 9.8%

All units within this sector:

Unit PQI First Seen Last Seen Street Name ML Mapped
S9 5AA 10 2013‑07 0
S9 5AB 10 0
S9 5AD 10 Darnall Road 1
S9 5AE 10 0
S9 5AF 10 0
S9 5AG 10 0
S9 5AH 10 0
S9 5AJ 10 0
S9 5AL 10 0
S9 5AN 10 0
S9 5AP 10 0
S9 5AQ 10 0
S9 5AR 10 0
S9 5AS 10 0
S9 5AT 10 0
S9 5AU 10 0
S9 5AW 10 0
S9 5AX 10 0
S9 5AY 10 0
S9 5AZ 10 0
S9 5BD 10 0
S9 5BE 10 0
S9 5BG 10 0
S9 5BH 10 0
S9 5BJ 10 0
S9 5BL 10 0
S9 5BU 10 0
S9 5BW 10 0
S9 5BX 10 0
S9 5BY 10 0
S9 5BZ 10 0
S9 5DA 10 0
S9 5DD 10 0
S9 5DE 10 0
S9 5DF 10 0
S9 5DH 10 0
S9 5DL 10 0
S9 5DP 10 0
S9 5DQ 10 Tinsley Park Road 1
S9 5DW 10 0
S9 5DX 10 0
S9 5EA 10 0
S9 5EB 10 0
S9 5EF 10 1
S9 5EG 10 0
S9 5EH 10 0
S9 5EL 10 0
S9 5ES 10 0
S9 5ET 10 0
S9 5EU 10 0
S9 5EX 10 0
S9 5EZ 10 0
S9 5FD 10 0
S9 5FJ 10 0
S9 5FL 10 0
S9 5FP 10 Industry Road 1
S9 5FQ 10 0
S9 5FT 10 0
S9 5FZ 10 0
S9 5GB 10 0
S9 5GD 10 0
S9 5GE 10 0
S9 5GF 10 0
S9 5GG 10 0
S9 5GH 10 0
S9 5GJ 10 0
S9 5GL 10 0
S9 5GN 10 0
S9 5GP 10 0
S9 5HA 10 0
S9 5HE 10 Greenland Road 1
S9 5HH 10 0
S9 5HL 10 0
S9 5HN 10 0
S9 5HP 10 Main Road 3
S9 5HQ 10 Main Road 4
S9 5HU 10 0
S9 5HX 10 0
S9 5HZ 10 0
S9 5JA 10 Catley Road 1
S9 5JF 10 0
S9 5JG 10 0
S9 5JH 10 0
S9 5JJ 10 0
S9 5JN 10 0
S9 5NF 10 Coleford Road 2
S9 5NJ 10 0
S9 5NN 10 0
S9 5PA 10 0
S9 5PH 10 0
S9 5PJ 10 0
S9 5PQ 10 0
S9 5PR 10 0
S9 5PS 10 0
S9 5PT 10 0
S9 5YX 10 2019‑01 85 0

Units with street mismatches in this sector:

Unit Mapped Dominant Street OSM Object Tagged Street
S9 5EF 1 w110026462
Data derived from OpenStreetMap data, © OpenStreetMap Contributors, licensed under Open Data Commons Open Database License (ODbL). Data derived in part using Code-Point Open under the Open Government Licence v3; Contains OS data © Crown copyright and database right 2020; Contains Royal Mail data © Royal Mail copyright and Database right 2016; Contains National Statistics data © Crown copyright and database right 2020.