Adzuna derivative products to help you unlock job trends

Vacancy data provides a valuable lens into how the world of work is evolving in modern economies. It enables researchers to explore a range of labour market trends, such as demand for emerging jobs and skills, changing work patterns, and advertised salaries across sectors, geographies, and occupations.

Recognising this value, UBDC partnered with Adzuna - the UK’s most popular job search engine - to provide large-scale vacancy data to UK-based academics between 2021 and 2025.  With over 400 million adverts, UBDC’s Adzuna dataset offers a comprehensive picture into UK labour demand.  

However, working with such data presents challenges. Job descriptions, while rich ininformation, are often computationally intensive to analyse - particularly in datasets containing millions of records.

To address this challenge, UBDC created several derivative data products that make insights from Adzuna on labour demand more accessible. In addition to these products, licenced users can apply for UBDC’s enhanced Adzuna salary variables which are outlined below.

Safeguarded Adzuna data derivative products

1. Adzuna panel dataset series: local authority and travel to work areas

This data series provides weekly counts of the number of Adzuna vacancy across Great Britain at the Travel to Work Area or Local Authority level. These counts are disaggregated by pay frequency – that is, hourly, daily, weekly and annual pay – as well as by sector, advert seniority and occupation (based on 1-4 digits Standard Occupation Classifications). Coverage runs from April 2016 to February 2025.  

Why use it?

• Provides high-frequency, granular coverage of vacancy statistics across Great Britain.

• Useful as a standalone product for tracking granular labour demand trends.

• Useful as a complementary dataset to the main Adzuna dataset. For example, it allows researchers to easily analyse trends in job postings over time without having to process millions of adverts.

• Can enrich other datasets by providing context or control variables related to local labour demand.

2. Enhanced Adzuna salary variables

To support richer pay analysis, UBDC has created enhanced salary variables by extracting information from the Adzuna job description and raw salary fields. These variables enable analysis of pay offers across standardised frequencies – i.e. hourly, daily, weekly and annual – and increase the share of adverts with populated salary information by 12%. These variables are stored in lookup files that can be merged to users’ Adzuna data at the advert level.

Why use it?

• Work with normalised (real) salary information when using the main Adzuna dataset.

• Conduct analysis at various pay frequencies when using the main Adzuna dataset.  

Open-sourced Adzuna data derivative product:  

1. Counts of hourly paying Adzuna jobs

This dataset is open sourced and publicly available to all users. It provides monthly counts of the number of vacancies offering an hourly wage within Scotland, Wales and North WestEngland. Data is available at the Travel to Work Area level and covers the period April 2016 to February 2025.

Why use it?

• Provides high-frequency vacancy statistics at the Travel to Work Area level.

• Useful as a standalone product for tracking local labour demand.

• Can enrich other datasets by providing context or control variables related to local labour demand.

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