API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files

Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/luccasmmg/bond-yields-uk-10y/

https://datahub.io/luccasmmg/bond-yields-uk-10y/_r/-/README.md

https://datahub.io/luccasmmg/bond-yields-uk-10y/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md

https://datahub.io/luccasmmg/bond-yields-uk-10y/_r/-/data/annual.csv

https://datahub.io/luccasmmg/bond-yields-uk-10y/_r/-/data/quarterly.csv

https://datahub.io/luccasmmg/bond-yields-uk-10y/_r/-/datapackage.json

Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.json— metadata & schema

https://datahub.io/luccasmmg/bond-yields-uk-10y/_r/-/datapackage.json

README.md— documentation

https://datahub.io/luccasmmg/bond-yields-uk-10y/_r/-/README.md

Typical Usage

Data Views

Data Files

Field	Type	Format	Description	DecimalChar	GroupChar
Date	date	%Y-%m-%d
Rate	number	default	Quarterly average yield from British Government Securities, 10 year Nominal Par Yield	.

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About

Field	Type	Format	Description	DecimalChar	GroupChar
Year	date	%Y-%m-%d
Rate	number	default	Annual average yield from British Government Securities, 10 year Nominal Par Yield	.

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About

Date: 2026-03-03

Executed updater: python scripts/bond_uk_flow.py.
Refreshed dataset outputs:
- data/annual.csv
- data/quarterly.csv
- datapackage.json
Added workflow write permission in .github/workflows/actions.yml (permissions: contents: write) for reliable scheduled push behavior.