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Herb · v1 archive

Geonames Postal Codes and Geocoordinates

Postal codes and their geocoordinates parsed from geonames data. The dataset covers the following countries: AD, AR, AS, AT, AU, AX, AZ, BD, BE, BG, BM, BR, BY, CA, CH, CL, CO, CR, CZ, DE, DK, DO, DZ, EE, ES, FI, FM, FO, FR, GB, GF, GG, GL, GP, GT, GU, HR, HU, IE, IM, IN, IS, IT, JE, JP, KR, LI, LK, LT, LU, LV, MC, MD, MH, MK, MP, MQ, MT, MW, MX, MY, NC, NL, NO, NZ, PH, PK, PL, PM, PR, PT, PW, RE, RO, RS, RU, SE, SG, SI, SJ, SK, SM, TH, TR, UA, US, UY, VA, VI, WF, YT, ZA.

Leaves (2 files)

dataset/postal_codes_and_coordinates.csv csv0 KB

dataset/postal_codes_and_coordinates.csv · raw file · updated 2020-04-20

FieldDescription
country_codeAlpha 2 country code where the postal code is affiliated with
postal_codepostal code in string format
latitudelatitude of the postal code
longitudelongitude of the postal code
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/datumorphism/geonames-postal-codes-geocoordinates/master/dataset/postal_codes_and_coordinates.csv")
dataset/postal_codes_and_coordinates.json json0 KB

dataset/postal_codes_and_coordinates.json · raw file · updated 2020-04-20

FieldDescription
country_codealpha 2 country code the postal code belongs
postal_codepostal code in string format
latitudelatitude of the postal code
longitudelongitude of the postal code