Geographic Data

US base geographies

Every AlignMix alignment is built on a base geography — the unit territories are assembled from. In the United States you can work in any of four, and switch between them as the design demands.

41,633

ZIP codes

The default for most sales alignments. Complete US coverage, updated as the Postal Service revises boundaries.

FIPS

Counties

Standard county boundaries by FIPS code — the usual base for insurance, agriculture, utilities and field service, where county lines are how the business already thinks.

MSA

Metro areas

Metropolitan Statistical Areas, for alignments organised around metro markets rather than postal or administrative lines.

50

States

The coarsest option, for national or regional structures where a rep or district owns whole states.

States are available as a base geography too, and territories can be built at any level and rolled up into districts and regions. Because these are true boundary sets rather than point clusters, territories stay contiguous and export cleanly to Excel, PowerPoint and image formats.

Sales territories built on ZIP code boundaries in AlignMix.
ZIP codes — all 41,633 of them, the finest grain and the default for most alignments.
Sales territories built on county FIPS boundaries in AlignMix.
Counties (FIPS) — the right unit when your data already reports at county level.
Sales territories built on MSA metropolitan statistical area boundaries in AlignMix.
MSAs — metro areas only, so the rural gaps belong to no MSA. Available on request.
Sales territories built on US state boundaries in AlignMix.
States — the coarsest option, for national structures built on whole states.

The same region around Charlotte, built four ways. Only the base geography changes.

International geography

International geography packs expand AlignMix’s capabilities to any country. You can find out more on the International Geography page

Free boundary files to download

We need high-quality geographic data to create AlignMix’s geography packs. Sometime the data is available as a download but doesn’t meet our quality standards and needs to be cleaned up. Here are some raw geographic postcode boundary file that we’ve cleaned up. All of them have been checked for topology errors (e.g. overlaps and dangles). They should be ideal for use in Tableau and Power BI.

German Postcodes (PLZ) Boundaries:

These files are based on the OSM 2020 postcodes, and are late 2020 vintage. They have been cleaned up and slightly generalized.

Germany Postcode Boundaries in ESRI Shapefile format (3.4 mb)

Germany Postcode Boundaries in GeoJSON format (2.0 mb)

Germany Postcode Boundaries in TopoJSON format (1.3 mb)

The Netherlands 4-Digit Postcode Boundaries:

Cleaned up versions of the 2020 CBS.NL boundary shapes.

Netherland 4-Digit Postcode Boundaries in ESRI Shapefile format (3.6 mb)

Netherland 4-Digit Postcode Boundaries in GeoJSON format (2.0 mb)

Netherland 4-Digit Postcode Boundaries in TopoJSON format (1.3 mb)

Australian 4-Digit Postcodes Boundaries:

These are a cleaned-up version of the 2016 shapes found on the Australian Bureau of Statistics website.

Australian 4-Digit Postcode Boundaries in ESRI Shapefile format (15.4 mb)

Australian 4-Digit Postcode Boundaries in GeoJSON format (7.8 mb)

Australian 4-Digit Postcode Boundaries in TopoJSON format (5.1 mb)

Canadian FSA Postcode Boundaries:

These are cleaned-up version of the 2016 Statcan FSA shapefiles.

Canadian 3-digit Postcode Boundaries in ESRI Shapefile format (23.3 mb)

Canadian 3-digit Postcode Boundaries in GeoJSON format (12.2 mb)

Canadian 3-digit Postcode Boundaries in TopoJSON format (11.3 mb)

Belgium 4-Digit Postcode Boundaries:

Source from the 2020 Geo.be website. All shapes cleaned and slightly generalized.

Belgium 4-Digit Postcode Boundary in ERSI Shapefile format (5.9 mb)

Belgium 4-Digit Postcode Boundary in GeoJSON format (2.6 mb)

Belgium 4-Digit Postcode Boundary in TopoJSON format (1.4 mb)

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