Deutsch English

Shapefile of Swiss Postal Codes

jsonkml kmzshpsqlwkt

This dataset is offered by a user of the DataShop.biz marketplace since Thursday, July, the 25th 2013, 05:17h. This was 1579 days ago.

Description of the dataset


 
What information does the dataset contain?
This file contains the postal code borders of all Swiss postal codes as vector data in various universal geodata formats. 

What data fields/columns are included?
City/municipality name, postal code, number addition (for cities with multiple postal codes, eg. Zurich)

Which file format is the data available in?
The projection is WGS84.
The following data formats are available:
  • shapefile for ESRI ArcGIS
  • KML for Google Maps/Google Earth
  • GeoJSON for web applications or Quantum GIS
  • WKT as a text presentation
  • SQL for Mysql-Postgresql-Geometry
  • SVG for image-processing programs
  Therefore, almost any geo-information system should be able to import the data.

How many entries does the dataset contain?
4,183

When was the data compiled?
2012

What source is the data from?
Source: «Cadastral Suverying in Switzerland/swisstopo». In the case of commercial use, the sources must be cited; otherwise the data may be used freely.

Sample data:
 { "type": "Feature",   "properties": { "Zusatz": "0","Plz": "4663","Name": "Aarburg" }, 
  "geometry": { "type": "MultiPolygon", 
  "coordinates": [ [[[7.89254158493761,47.3187850925986],[7.89267123542171,47.3188487490495],....]] ] } }
,
{ "type": "Feature", 
  "properties": { "Zusatz": "0","Plz": "4912","Name": "Aarwangen" }, 
  "geometry": { "type": "MultiPolygon", 
  "coordinates": [ [[[7.74522211793501,47.2223335019712],[7.74501300199971,47.2222986172674],.....]]] ] } }

Image preview

1.png 2.png 3.png 4.png

Description of files

postcodes_switzerland.kml
Size: 63.48M
Download als kml
postcodes_switzerland.shp
Size: 44.41M
Download als shp
postcodes_switzerland.shx
Size: 32.78K
postcodes_switzerland.dbf
Size: 616.96K
postcodes_switzerland.geojson
Size: 66.43M
postcodes_switzerland.wkt
Size: 62.31M
postcodes_switzerland.sql
Size: 30.66M
Download als sql
postcodes_switzerland.pgsql
Size: 62.6M
postcodes_switzerland.svg.zip
Size: 37.31M


Price: 196,00 Euro


Tags:


Search terms for this dataset:



No comments yet for this dataset





Similar Datasets

List of US postcodes csv txt sql xls

This dataset contains a list of the 41.000 US post codes. Included data fields are p ostal code, city, county and state as well as the geographic center point (centroid) in latitude/longitude format (WGS84) . The data allows radial search applications to find nearby postcodes and nearby places/people for web applications and location based services. Data formats provided are .xls, .csv and .sql. Extract of the data: ID Zipcode City County State Latitude Longitude 253 01085 Westfield Hampden Massachusetts 42.15636 -72.77873 254 01086 Westfield Hampden Massachusetts 42.13889 -72.75605 255 01088 West Hatfield Hampshire Massachusetts 42.38595 -72.63952 256 01089 West Springfield Hampden Massachusetts 42.11605 -72.63993 257 01090 West Springfield Hampden Massachusetts 42.12321 -72.65305 258 01092 West Warren Worcester Massachusetts 42.21250 -72.19166 259 01093 Whately Franklin Massachusetts 42.43444 -72.64674 260 01094 Wheelwright Worcester Massachusetts 42.35193 -72.14027 261 01095 Wilbraham Hampden Massachusetts 42.12411 -72.44268 262 01096 Williamsburg Hampshire Massachusetts 42.39719 -72.7452 263 01097 Woronoco Hampden Massachusetts 42.16346 -72.83762 264 01098 Worthington Hampshire Massachusetts 42.30635 -72.87618 265 01101 Springfield Hampden Massachusetts 42.09914 -72.58809 ..

Details

Shapefile Switzerland json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Switzerland in various and universal geodata formats. Scale: 1:1 Million. Projection: WGS84. The following data formats are available: shapefile for ESRI ArcGIS, KML for Google Maps/Google Earth, GeoJSON for web applications or Quantum GIS, WKT as a text presentation, SQL for Mysql-Geometry. Thereby almost every geo-information system should be able to import the data. Sample data: <xml version="1.0" encoding="UTF-8"> <kml xmlns="http://www.opengis.net/kml/2.2" xmlns:gx="http://www.google.com/kml/ext/2.2" xmlns:kml="http://www.opengi s.net/kml/2.2" xmlns:atom="http://www.w3.org/2005/Atom"> <Document> <name>Schweiz.kml</name> <Placemark> <name>Schweiz</name> <MultiGeometry> <Polygon> <outerBoundaryIs><LinearRing><coordinates>10.0716535,46.2247278 10.0716535,46.2247278 10.083947,46.2362774 10.1018031,46.2334453 10.1232774,46.2306609 10.1334766,46.2309735 10.1472227,46.2370314 10.1478064,46.2415982 10.1714716,46.2646892 10.1593125,46.2817414 10.1451986,46.2960282 10.121095,46.3161902 10.107271,46.3320966 10.1054416,46.34237 10.1079078,46.3526853

Details

Map of German Postal Codes shp

You will receive this map of postal codes from Germany as a shape file (.shp). This can also be processed for ArcGIS with the open GIS Quantum GIS without licensing fees. In addition to the postal code areas the file also contains an outline of corresponding postal codes’ data attributes and can thereby be rendered as a legend for the diagram (see screenshot). The file can be further processed on a GIS system or in an image-processing program (one with enough space due to the file size). Disclaimer: The extent to which the dataset is up to date, correct, and complete cannot be guaranteed due to the changing nature of postal codes. Possible uses include visualization and geographical planning for sales and distribution sectors, field service, franchise, or delivery areas, as well as geomarketing .

Download

DataShop.biz is an electronic marketplace for datasets, databases and files. These datasets can be used for private or business needs, for instance: data mining, business intelligence, data enrichment and validation e.g. geodata for web development or mobile location based services, and company addresses for marketing, dialog marketing or customer acquisition, etc. Data suppliers can offer their datasets here free of charge and profit by selling them, as long as they abide by the necessary rules that govern the exchange. Consumers can purchase the datasets at a favorable price, with out the complexity of creating or collecting the dataset themselves, and have it instantly available to download.