The following table provides summary statistics for permanent job vacancies advertised in Crawley with a requirement for PostgreSQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited PostgreSQL over the 6 months to 27 April 2024 with a comparison to the same period in the previous 2 years.
PostgreSQL is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Crawley with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
34
62
112
As % of all permanent jobs advertised in Crawley
17.62%
21.68%
33.23%
Number of salaries quoted
27
43
91
10th Percentile
£43,500
£52,500
£40,750
25th Percentile
£50,000
£61,250
£51,875
Median annual salary (50th Percentile)
£57,500
£65,000
£60,000
Median % change year-on-year
-11.54%
+8.33%
+9.09%
75th Percentile
£69,375
£68,750
£84,375
90th Percentile
£71,750
£82,500
£92,500
West Sussex median annual salary
£57,500
£57,500
£53,250
% change year-on-year
-
+7.98%
-3.18%
PostgreSQL Job Vacancy Trend in Crawley
Job postings citing PostgreSQL as a proportion of all IT jobs advertised in Crawley.
PostgreSQL Salary Trend in Crawley
3-month moving average salary quoted in jobs citing PostgreSQL in Crawley.
PostgreSQL Salary Histogram in Crawley
Salary distribution for jobs citing PostgreSQL in Crawley over the 6 months to 27 April 2024.
PostgreSQL Top 30 Co-occurring Skills and Capabilities in Crawley
For the 6 months to 27 April 2024, job vacancies citing PostgreSQL also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Crawley region with a requirement for PostgreSQL.
PostgreSQL Co-occurring Skills and Capabilities in Crawley by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
