Raspberry Pi Job Trends in Kingston Upon Thames

Raspberry Pi
South London > Kingston Upon Thames

The table below looks at the prevalence of the term Raspberry Pi in permanent job vacancies in Kingston Upon Thames. Included is a benchmarking guide to the salaries offered in vacancies that cited Raspberry Pi over the 6 months leading up to 23 June 2026, comparing them to the same period in the previous two years.

6 months to
23 Jun 2026
Same period 2025 Same period 2024
Rank 26 - -
Rank change year-on-year - - -
Permanent jobs citing Raspberry Pi 5 0 0
As % of all permanent jobs in Kingston Upon Thames 2.78% - -
As % of the Miscellaneous category 11.63% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
South London median annual salary - - -

All Generic Skills
Kingston Upon Thames

Raspberry Pi falls under the General and Transferable Skills category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring generic IT skills in Kingston Upon Thames.

Permanent vacancies with a requirement for generic IT skills 43 53 228
As % of all permanent jobs advertised in Kingston Upon Thames 23.89% 47.32% 57.72%
Number of salaries quoted 21 14 46
10th Percentile £37,500 - £53,075
25th Percentile £42,500 £62,500 £60,313
Median annual salary (50th Percentile) £50,000 £66,250 £65,000
Median % change year-on-year -24.53% +1.92% -
75th Percentile £52,500 £68,750 £68,438
90th Percentile £57,500 £74,875 £77,500
South London median annual salary £50,250 £50,000 £62,500
% change year-on-year +0.50% -20.00% +19.05%

Raspberry Pi
Job Vacancy Trend in Kingston Upon Thames

Historical trend showing the proportion of permanent IT job postings citing Raspberry Pi relative to all permanent IT jobs advertised in Kingston Upon Thames.

Raspberry Pi job vacancy trend in Kingston Upon Thames

Raspberry Pi
Co-Occurring Skills & Capabilities in Kingston Upon Thames by Category

The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:

Processes & Methodologies
1 5 (100.00%) Collaborative Working
1 5 (100.00%) Computer Science
1 5 (100.00%) Problem-Solving