ons-nomis

Retrieve UK demographic and labour-market statistics from the Nomis SDMX-JSON API.

1|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/danbri/forgetmenot --skill ons-nomis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ons-nomis
Source: https://github.com/danbri/forgetmenot/tree/main/skills/ons-nomis
Command: npx skills add https://github.com/danbri/forgetmenot --skill ons-nomis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the difficulty of navigating complex ONS and Nomis API structures to retrieve granular UK demographic and labour-market statistics.

Core Features & Use Cases

  • Granular Data Access: Retrieve Census 2021 and labour-market datasets at constituency, LAD, MSOA, LSOA, and OA levels.
  • Geography Mapping: Simplifies the complex process of mapping UK Parliamentary constituencies to Nomis-specific internal geography codes.
  • Use Case: A researcher needs to compare the claimant count or employment rates across all Westminster constituencies; this skill automates the discovery of the correct geography type and the subsequent data retrieval.

Quick Start

Use the ons-nomis skill to fetch the latest Census 2021 population totals for all Westminster constituencies by specifying the dataset NM_2021_1 and the appropriate geography type.

Frequently Asked Questions about ons-nomis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve UK census data for Westminster constituencies using the Nomis API?

To retrieve UK census data for Westminster constituencies, you query the Nomis SDMX-JSON API by specifying the dataset ID and mapping ONS GSS codes to Nomis internal geography type identifiers. This skill automates the discovery of the correct geography type and subsequent data retrieval.

What is the process for mapping ONS GSS codes to Nomis geography type identifiers?

Mapping ONS GSS codes to Nomis geography type identifiers involves matching official UK geographic codes to Nomis internal geography codes to ensure accurate query results. This skill simplifies this complex process to facilitate precise data analysis across various granularities.

Can I access labour-market statistics at the MSOA or LSOA level from ONS Nomis?

Yes, you can access ONS Nomis labour-market statistics at MSOA, LSOA, and OA levels. The skill supports granular data access across multiple geographic levels including local authority districts and Westminster constituencies.

How do I compare claimant count or employment rates across all UK Parliamentary constituencies?

You can compare claimant count or employment rates across UK Parliamentary constituencies by using this skill to automate the discovery of the correct geography type and retrieve the relevant labour-market datasets from the Nomis API.

What is the best way to query Census 2021 population totals for local authority districts?

The best way to query Census 2021 population totals for local authority districts is by specifying the dataset NM_2021_1 and the appropriate geography type in the Nomis SDMX-JSON API. This skill facilitates that precise data retrieval process.

What limitations exist when navigating complex ONS and Nomis API structures for demographic data?

A key limitation when navigating ONS and Nomis API structures is the requirement for precise mapping of ONS GSS codes to Nomis internal geography type identifiers. Inaccurate mapping will result in incorrect or failed query results for demographic data.