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Coordinate Precision — Decimal Places to Metres Reference

What each decimal place is actually worth on the ground, computed on a sphere of mean Earth radius at the territory's latitude. Longitude degrees are shorter than latitude degrees by the cosine of the latitude, which is why the two columns diverge.

Preview — first 12 linescsv
decimal_places,degrees,latitude_metres,longitude_metres_at_47N,what_it_resolves
0,1,111195.0802,75743.8011,a large country
1,0.1,11119.5080,7574.3801,a large city
2,0.01,1111.9508,757.4380,a town or village
3,0.001,111.1951,75.7438,a neighbourhood
4,0.0001,11.1195,7.5744,a city block or building
5,0.00001,1.1120,0.7574,a large room
6,0.000001,0.1112,0.0757,a doorway
7,0.0000001,0.0111,0.0076,a dinner plate
8,0.00000001,0.0011,0.0008,a fingernail
9,0.000000001,0.0001,0.0001,a grain of sand — below any consumer GNSS fix

Specifications

Format
CSV
Rows
10
Columns
decimal_places, degrees, latitude_metres, longitude_metres_at_47N, what_it_resolves
Latitude
47.064123
Sphere Radius Metres
6371008.8
Model
spherical approximation — an ellipsoidal figure differs by well under 1 percent
Line Endings
LF
Header
true

Testing contract

Reference control
Scenario
Look up the ground resolution for the precision your pipeline emits and compare it with your data's real accuracy.
Expected result
Six decimal places resolve about 0.11 m of latitude and 0.076 m of longitude at 47 N — finer than any consumer GNSS fix, so digits beyond that are storage without information.

What is a .csv file?

CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.

How to use this file

Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.

How to use this file for testing

“Coordinate Precision — Decimal Places to Metres Reference” is a deterministic Novus Examples fixture for Geospatial, CSV parsing, Conversion 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: 10 rows · LF · CSV. 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.

Code examples

import pandas as pd

df = pd.read_csv("precision-error-table.csv")
print(df.head())
print(df.dtypes)

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