Driving School Analytics

Our analysis of the latest CBR data reveals a wide variation in driving exam success rates across different exam centers in the Netherlands. The lowest pass rate was recorded at Examen­centrum Barendrecht, where only 39% of candidates passed their driving exam. In contrast, Examen­centrum Maastricht showed the highest success rate at over 64%, making it the most favorable location for test-takers in 2025. A clear pattern emerges in the distribution: urban centers such as Rotterdam, Amsterdam, and Utrecht cluster in the lower range of success rates (typically between 39% and 48%), whereas more peripheral or rural locations tend to exhibit higher pass rates, often exceeding 55%. This distribution likely reflects differences in driving environments, including road complexity, congestion, and examiner expectations. Understanding these regional disparities may help learners, especially international students, choose exam centers where they have statistically higher chances of passing.

This analysis explores the relationship between first and second attempt driving test success rates across Dutch driving schools. The scatter plot shows a moderate positive correlation between the two, captured by the regression line: y = 0.45x + 31.75. This suggests that driving schools with high first attempt pass rates generally tend to also perform better on second attempts, though the relationship is far from perfect. While many schools cluster between 40% and 70% on both metrics, there's significant spread, especially among schools with lower first attempt success rates. The positive slope implies that improved first-time preparation could also lead to better outcomes on retakes. To maintain statistical reliability, the analysis excluded schools with fewer than 5 exams or with 0% pass rates on either attempt. For international students or learners evaluating where to enroll, these results highlight the importance of selecting schools with consistently strong outcomes, not just on the first try, but in follow-up attempts as well.

This analysis investigates whether there is a link between a driving school's pass rate and the number of exams it conducts. The scatter plot reveals a wide dispersion in success percentages among schools with fewer exams, indicating significant variability in performance at smaller schools. Conversely, larger schools—those conducting over 1,000 exams, tend to cluster around the national average, suggesting more consistent outcomes. These metrics show that while the average performance across schools is fairly balanced, many smaller schools either significantly overperform or underperform. This may reflect differences in student demographics, teaching quality, or even exam-taking strategies. For prospective students comparing driving schools, this chart suggests that volume alone is not a strong predictor of quality, but it may indicate more stable and predictable outcomes.