Geographic Information (Geospatial Data) Berkshire> Reading
The table below provides summary statistics and salary benchmarking for jobs advertised in Reading requiring Geospatial Data skills. It covers permanent job vacancies from the 6 months leading up to 14 October 2025, with comparisons to the same periods in the previous two years.
Geospatial Data falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Reading.
Permanent vacancies with a requirement for database or business intelligence skills
82
145
255
As % of all permanent jobs advertised in Reading
16.47%
12.08%
24.03%
Number of salaries quoted
43
60
143
10th Percentile
£42,500
£38,500
£36,000
25th Percentile
£53,750
£48,250
£50,075
Median annual salary (50th Percentile)
£65,000
£60,250
£64,500
Median % change year-on-year
+7.88%
-6.59%
-0.77%
75th Percentile
£71,795
£81,563
£76,250
90th Percentile
£83,750
£91,875
£112,500
Berkshire median annual salary
£66,434
£67,500
£62,500
% change year-on-year
-1.58%
+8.00%
-3.85%
Geospatial Data Job Vacancy Trend in Reading
Historical trend showing the proportion of permanent IT job postings citing Geospatial Data relative to all permanent IT jobs advertised in Reading.
Geospatial Data Salary Trend in Reading
Salary distribution trend for jobs in Reading citing Geospatial Data.
Geospatial Data Top 9 Co-Occurring Skills & Capabilities in Reading
For the 6 months to 14 October 2025, job vacancies citing Geospatial Data also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Reading region with a requirement for Geospatial Data.
Geospatial Data Co-Occurring Skills & Capabilities in Reading 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:
