For more information, check the ReadMe section below. The "last modified" timestamp is in Central European Time.
Name Last modified Size Description
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Parent Directory -
![[TXT]](/icons/text.gif)
readme.txt 2019-01-18 03:00 2.6K
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allCountries.zip 2019-01-18 03:01 14M
ZA.zip 2019-01-18 03:01 26K
YT.zip 2019-01-18 03:01 1.7K
WF.zip 2019-01-18 03:01 1.4K
VI.zip 2019-01-18 03:01 1.5K
VA.zip 2019-01-18 03:01 1.4K
UY.zip 2019-01-18 03:01 24K
US.zip 2019-01-18 03:01 619K
UA.zip 2019-01-18 03:01 412K
TR.zip 2019-01-18 03:01 471K
TH.zip 2019-01-18 03:01 13K
SM.zip 2019-01-18 03:01 1.7K
SK.zip 2019-01-18 03:01 61K
SJ.zip 2019-01-18 03:01 1.5K
SI.zip 2019-01-18 03:01 8.9K
SE.zip 2019-01-18 03:01 81K
RU.zip 2019-01-18 03:01 677K
RO.zip 2019-01-18 03:01 280K
RE.zip 2019-01-18 03:01 2.3K
PW.zip 2019-01-18 03:01 1.3K
PT.zip 2019-01-18 03:01 1.0M
PR.zip 2019-01-18 03:01 3.5K
PM.zip 2019-01-18 03:01 1.4K
PL.zip 2019-01-18 03:01 926K
PK.zip 2019-01-18 03:01 121K
PH.zip 2019-01-18 03:01 31K
NZ.zip 2019-01-18 03:01 21K
NO.zip 2019-01-18 03:01 45K
NL_full.csv.zip 2019-01-18 03:00 8.7M
NL.zip 2019-01-18 03:01 61K
NC.zip 2019-01-18 03:01 2.4K
MY.zip 2019-01-18 03:01 22K
MX.zip 2019-01-18 03:01 1.9M
MT.zip 2019-01-18 03:01 2.8K
MQ.zip 2019-01-18 03:01 2.3K
MP.zip 2019-01-18 03:01 1.4K
MK.zip 2019-01-18 03:01 4.5K
MH.zip 2019-01-18 03:01 1.4K
MD.zip 2019-01-18 03:01 25K
MC.zip 2019-01-18 03:01 1.7K
LV.zip 2019-01-18 03:01 66K
LU.zip 2019-01-18 03:01 42K
LT.zip 2019-01-18 03:01 151K
LK.zip 2019-01-18 03:01 27K
LI.zip 2019-01-18 03:01 1.6K
JP.zip 2019-01-18 03:01 1.2M
JE.zip 2019-01-18 03:01 1.4K
IT.zip 2019-01-18 03:01 251K
IS.zip 2019-01-18 03:01 3.3K
IN.zip 2019-01-18 03:01 1.7M
IM.zip 2019-01-18 03:01 2.1K
IE.zip 2019-01-18 03:01 3.4K
HU.zip 2019-01-18 03:01 44K
HR.zip 2019-01-18 03:01 91K
GU.zip 2019-01-18 03:01 1.6K
GT.zip 2019-01-18 03:01 9.1K
GP.zip 2019-01-18 03:01 2.3K
GL.zip 2019-01-18 03:01 1.9K
GG.zip 2019-01-18 03:01 1.4K
GF.zip 2019-01-18 03:01 2.0K
GB_full.csv.zip 2019-01-18 03:00 32M
GB.zip 2019-01-18 03:01 323K
FR.zip 2019-01-18 03:01 640K
FO.zip 2019-01-18 03:01 2.8K
FM.zip 2019-01-18 03:01 1.4K
FI.zip 2019-01-18 03:01 51K
ES.zip 2019-01-18 03:01 527K
DZ.zip 2019-01-18 03:01 146K
DO.zip 2019-01-18 03:01 6.9K
DK.zip 2019-01-18 03:01 16K
DE.zip 2019-01-18 03:01 238K
CZ.zip 2019-01-18 03:01 157K
CR.zip 2019-01-18 03:01 12K
CO.zip 2019-01-18 03:01 38K
CL.zip 2019-01-18 03:01 10K
CH.zip 2019-01-18 03:01 82K
CA.zip 2019-01-18 03:01 37K
BY.zip 2019-01-18 03:01 50K
BR.zip 2019-01-18 03:01 115K
BM.zip 2019-01-18 03:01 2.0K
BG.zip 2019-01-18 03:01 126K
BE.zip 2019-01-18 03:01 39K
BD.zip 2019-01-18 03:01 22K
AX.zip 2019-01-18 03:01 2.0K
AU.zip 2019-01-18 03:01 222K
AT.zip 2019-01-18 03:01 223K
AS.zip 2019-01-18 03:01 1.4K
AR.zip 2019-01-18 03:01 204K
AD.zip 2019-01-18 03:01 1.5K
Readme for GeoNames Postal Code files :
allCountries.zip: all countries, for the UK only the outwards codes, the UK total codes are in GB_full.csv.zip
GB_full.csv.zip the full codes for the UK, ca 1.7 mio rows
<iso countrycode>: country specific subset also included in allCountries.zip
This work is licensed under a Creative Commons Attribution 3.0 License.
This means you can use the dump as long as you give credit to geonames (a link on your website to www.geonames.org is ok)
see http://creativecommons.org/licenses/by/3.0/
UK (GB_full.csv.zip): Contains Royal Mail data Royal Mail copyright and database right 2017.
The Data is provided "as is" without warranty or any representation of accuracy, timeliness or completeness.
This readme describes the GeoNames Postal Code dataset.
The main GeoNames gazetteer data extract is here: http://download.geonames.org/export/dump/
For many countries lat/lng are determined with an algorithm that searches the place names in the main geonames database
using administrative divisions and numerical vicinity of the postal codes as factors in the disambiguation of place names.
For postal codes and place name for which no corresponding toponym in the main geonames database could be found an average
lat/lng of 'neighbouring' postal codes is calculated.
Please let us know if you find any errors in the data set. Thanks
For Canada we have only the first letters of the full postal codes (for copyright reasons)
For Chile we have only the first digits of the full postal codes (for copyright reasons)
For Ireland we have only the first letters of the full postal codes (for copyright reasons)
For Malta we have only the first letters of the full postal codes (for copyright reasons)
The Argentina data file contains the first 5 positions of the postal code.
For Brazil only major postal codes are available (only the codes ending with -000 and the major code per municipality).
The data format is tab-delimited text in utf8 encoding, with the following fields :
country code : iso country code, 2 characters
postal code : varchar(20)
place name : varchar(180)
admin name1 : 1. order subdivision (state) varchar(100)
admin code1 : 1. order subdivision (state) varchar(20)
admin name2 : 2. order subdivision (county/province) varchar(100)
admin code2 : 2. order subdivision (county/province) varchar(20)
admin name3 : 3. order subdivision (community) varchar(100)
admin code3 : 3. order subdivision (community) varchar(20)
latitude : estimated latitude (wgs84)
longitude : estimated longitude (wgs84)
accuracy : accuracy of lat/lng from 1=estimated to 6=centroid