Grant, S. and Urban Big Data Centre, (2025) Counts hourly pay Adzuna jobs. [Data Collection]
Collection description
Overview:
Adzuna is one of the UK’s most popular vacancy search engines. Adzuna searches thousands of websites to bring together information on millions of advertisements on their service. The Adzuna dataset contains approximately 350 million job adverts from weekly snapshots of Adzuna and the complete Adzuna dataset consists of full point-in-time snapshots with details of all advertisements which were on adzuna.co.uk.
Counts hourly pay Adzuna jobs dataset is an UBDC derivative product of the Adzuna dataset.
The method by which the Adzuna research datasets are produced has changed over time so there are two series of the main Adzuna dataset:
Version 1 2016-2023
Version 2 2016-March 2025
Several UBDC derived datasets of the Adzuna product have been created and include:
Counts hourly pay Adzuna jobs dataset
Adzuna panel dataset series: local authority and travel to work areas
Adzuna teaching dataset
Counts hourly pay Adzuna jobs dataset:
This data product is a panel dataset that provides a count of the number of Adzuna vacancies that offer an hourly pay rate, by Travel to Work Area (TTWA) and month. Its function is to provide labour market insights into the number of low skilled job offers - as proxied by hourly paying employment – at a high frequency and spatial granularity. TTWAs are geographies created by ONS to approximate self-contained labour market areas.
Content
The dataset covers the period May16-Feb25 and 3 NUTS1 regions: Scotland, Wales and North West England. Each row represents a unique TTWA/month-year combination. Variables included are:
• “month_year” - a month-year identifer.
• “gb-ttwa” - a TTWA identifier
• “gb-itl1” - a NUTS1 identifer
• “vacancies_offering_an_hourly_wage” - a count of the number of vacancies offering an hourly wage.
Note, no data is available for December 2019 due to a technical failure in Adzuna’s snapshotting technology.
Methods and Processing
TTWA and NUTS1 regions are identifiable within the raw Adzuna dataset and are used to construct the panel dataset. Note that Stock-on-Trent and Hexam TTWA are included within the dataset because a small portion of their boundaries overlap North West England ITL1. A more accurate representation of hourly-paying vacancies in North West England can therefore be obtained by excluding these areas.
An identifier for hourly wage paying jobs is not available within the raw Adzuna dataset and therefore had to be estimated. To do so,the researcher wrote RegEx code that identified adverts with a 1 or 2 digit salary listed within the Adzuna “salary_raw” variable (e.g. £8 or £15). The assumption is that 1 or 2 digit salary offers will, in virtually all cases, represent hourly wage offers. This RegEx code also accepts salaries that had 2 digits following a decimal place (e.g. £10.50). It also accounts for salary ranges – for example, £10-£11.50 would be identified as an hourly wage. Adverts mentioning “minimum wage” or “national living wage” within their description are counted as hourly paying jobs
To improve robustness, the researcher wrote RegEx code to search for hourly wage offers within the Adzuna job “description” variable. This identifies hourly wage paying jobs where a value for “salary_raw” is missing. Since 1-2 digit monetary values in job descriptions may not relate to salaries, the code was written to be more conservative in what it accepts as an hourly wage. In particular, it requires that “per hour” or variants of “p.h.” (e.g. “ph”, “p/hr”) appear within 4 words after the 1-2 digit monetary value. Any monetary value followed by “mill”, “bill” or “k” are disregarded.
Access and restrictions:
The Counts hourly pay Adzuna jobs dataset, a derived dataset based on Adzuna data, is available to download as open data.
More information:
Details of all Adzuna datasets can be found in the UBDC data catalogue at https://data.ubdc.ac.uk/datasets and information about Adzuna and Adzuna datasets can be found on Adzuna's company website at https://www.adzuna.co.uk/
Funding: |
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College / School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
Date Deposited: | 27 Mar 2025 08:51 |
URI: | https://researchdata.gla.ac.uk/id/eprint/1885 |
Available Files
Please use Request Data to be sent a link to download this dataset.
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