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dbf377 B

Shapefile — Towns Attributes (.dbf, dBase III)

The attribute table as a dBase III file: fixed-width, space-padded, ASCII numerics. Field names are capped at ten characters and there is no type for dates-with-time or for nested values, which is why shapefile export loses so much of a modern schema.

Preview — schema + first 5 rowsdbf
CODENAMEPOPFOUNDED
KBKestrel Bay48201786
MRMarram11801834
HWHolloway26701801
NPNinepin6401902
QCQuillan Cross3101877
Values shown trimmed; on disk every field is space-padded to its width.

Specifications

Format
Esri shapefile component
Crs
WGS 84 (EPSG:4326)
Byte Order
mixed — big-endian headers, little-endian records
Sidecar Set
.shp/.shx/.dbf/.prj/.cpg
Records
5
Fields
4
Field Names
CODE, NAME, POP, FOUNDED
Field Types
C(4), C(24), N(8,0), N(6,0)
Encoding Declared By
.cpg sidecar
Date Stamp
2026-01-01 (fixed for reproducibility)

Testing contract

Expected to pass
Scenario
Read the table and check the field widths and padding.
Expected result
Five rows load with CODE, NAME, POP and FOUNDED; numeric fields are right-justified and space-padded, and no field name exceeds ten characters.

What is a .dbf file?

A dBASE table (.dbf) is a legacy binary tabular format with a fixed-width header describing columns (name, type, length) followed by fixed-length records. It persists today as the attribute table of GIS shapefiles and in legacy database exchange.

How to use this file

Use an example .dbf file to test dBASE/xBase readers, shapefile attribute parsing, and DBF-to-CSV conversion.

How to use this file for testing

“Shapefile — Towns Attributes (.dbf, dBase III)” is a deterministic Novus Examples fixture for Geospatial, Data import, Serialization testing. GeoJSON, GPX, and KML files with points, lines, polygons, and tracks — for testing map tools, route parsers, and geo importers.

Documented properties for this file: 5 records · 4 fields · Esri shapefile component. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Geospatial fixtures publish one invented territory across formats, with the coordinate reference system and feature counts documented in specs. Convert or reproject and diff against the twin in the same group; edge-case geometries state exactly which assumption they are built to break.

Generated by generation/geospatial.py. Free for any use, no attribution required — license.