Rob's OSM Stuff » UK Addresses » Postcode Stats » SS

OSM Postcode Stats for SS Postal Area

Rank	District	S0	S5	Units	Geo. Units	Mapped	%
1	SS5		1	545	514	89	17.3%
2	SS99			85	6	1	16.7%
3	SS1		1	712	612	46	7.5%
4	SS6		1	726	704	52	7.4%
5	SS9		2	1059	1049	69	6.6%
6	SS4		1	571	552	32	5.8%
7	SS2		2	702	695	38	5.5%
8	SS0		3	735	731	31	4.2%
9	SS14		1	755	686	29	4.2%
10	SS11		2	473	455	18	4.0%
11	SS17		4	761	748	26	3.5%
12	SS13		3	497	495	16	3.2%
13	SS16		3	648	637	19	3.0%
14	SS3		3	600	593	17	2.9%
15	SS15		3	633	630	18	2.9%
16	SS7		5	1115	1091	29	2.7%
17	SS8	1	4	900	874	21	2.4%
18	SS12		2	402	398	9	2.3%
19	SS22			3	0	0
Totals		1	41	11922	11470	560	4.9%

Explanation of the columns in the table above:

S0: The number of sectors (excluding non-geographic sectors) for which there are no valid postcodes in OSM. So if s0=0, every sector has at least one unit appearing at least once in OSM.
S5: The number of sectors (excluding non-geographic sectors) for which fewer then 5% of the geographic units appear on at least one object in OSM. So if s5=0, then every sector has at least 5% of its geographic units appearing at least once in OSM.
Units: The total number of units (individual postcodes) listed in Code-Point Open
Geo. Units: An estimate of the number of geographic units, computed as follows: The number of postal units which either exist in OSM or have fewer than 5 or more other units with the same coordinates in Code-Point Open. This is designed to exclude PO Box units that are located at Royal Mail Delivery Offices.
Mapped: The number of unique valid units appearing as an addr:postcode value in OSM.
%: OSM progress towards mapping at least one example of each unit, measured against the number of geographic units.

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.