The table below provides summary statistics and salary benchmarking for jobs advertised in Newcastle upon Tyne requiring SPSS skills. It covers permanent job vacancies from the 6 months leading up to 15 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
15 May 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
75 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing SPSS |
1 |
0 |
0 |
| As % of all permanent jobs in Newcastle upon Tyne |
0.085% |
- |
- |
| As % of the Applications category |
1.59% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£100,000 |
- |
- |
| Tyne and Wear median annual salary |
£100,000 |
- |
- |
SPSS falls under the Software Applications category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring software application skills in Newcastle upon Tyne.
| Permanent vacancies with a requirement for software application skills |
63 |
28 |
77 |
| As % of all permanent jobs advertised in Newcastle upon Tyne |
5.33% |
9.12% |
7.53% |
| Number of salaries quoted |
40 |
11 |
47 |
| 10th Percentile |
£33,750 |
- |
£22,500 |
| 25th Percentile |
£35,000 |
£25,000 |
£30,000 |
| Median annual salary (50th Percentile) |
£37,500 |
£35,000 |
£37,500 |
| Median % change year-on-year |
+7.14% |
-6.67% |
-6.25% |
| 75th Percentile |
£45,000 |
£66,250 |
£53,750 |
| 90th Percentile |
£60,000 |
£85,000 |
- |
| Tyne and Wear median annual salary |
£40,000 |
£36,750 |
£35,000 |
| % change year-on-year |
+8.84% |
+5.00% |
-3.45% |
SPSS
Job Vacancy Trend in Newcastle upon Tyne
Historical trend showing the proportion of permanent IT job postings citing SPSS relative to all permanent IT jobs advertised in Newcastle upon Tyne.
SPSS
Salary Trend in Newcastle upon Tyne
Salary distribution trend for jobs in Newcastle upon Tyne citing SPSS.
SPSS
Co-Occurring Skills & Capabilities in Newcastle upon Tyne 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:
