Building Information Modelling Job Trends in King's Lynn

Building Information Modelling (BIM)
Norfolk > King's Lynn

The table below provides summary statistics and salary benchmarking for jobs advertised in King's Lynn citing Building Information Modelling skills. It covers permanent job vacancies from the 6 months leading up to 24 October 2026, with comparisons to the same periods in the previous two years.

6 months to
24 Oct 2026
Same period 2025 Same period 2024
Rank 10 - -
Rank change year-on-year - - -
Permanent jobs citing Building Information Modelling 1 0 0
As % of all permanent jobs in King's Lynn 2.33% - -
As % of the Processes & Methodologies category 3.03% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £37,500 - -
Median annual salary (50th Percentile) £40,000 - -
75th Percentile £42,500 - -
90th Percentile - - -
Norfolk median annual salary £40,000 - -

All Process & Methodology Skills
King's Lynn

Building Information Modelling falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies citing process or methodology skills in King's Lynn.

6 months to
24 Oct 2026
Same period 2025 Same period 2024
Permanent vacancies citing process or methodology skills 33 10 23
As % of all permanent jobs advertised in King's Lynn 76.74% 100.00% 79.31%
Number of salaries quoted 26 10 17
10th Percentile - £27,750 £32,500
25th Percentile - £36,250 -
Median annual salary (50th Percentile) £30,000 £37,500 £40,000
Median % change year-on-year -20.00% -6.25% -17.53%
75th Percentile - £45,000 £60,000
90th Percentile £46,650 £60,000 £61,000
Norfolk median annual salary £50,000 £40,000 £55,000
% change year-on-year +25.00% -27.27% +11.68%

Building Information Modelling Co-Occurring Skills & Capabilities in King's Lynn by Category

The table below expands on the one above by listing co-occurrences one category at a time. It covers the same employment type, locality and period, with up to 20 co-occurrences in each category.