Matric Results 2025 – Compare South African Schools & Districts

Explore South Africa’s matric results for 2025 across provinces and districts. Search any school to see pass-rate trends, cohort sizes, quintile context, and national/provincial/district rankings over time. Use the filters to drill into regions or years, and compare performance to find top-performing schools. This interactive dashboard helps parents, educators and researchers analyze matric results data quickly and clearly.

Want broader insights? Browse province summaries, drill into district performance, compare multiple schools side‑by‑side, or view province comparison charts.

Data reflects published Department of Basic Education results across available years. Rankings are calculated using distinct pass rate tiers.

How to use this dashboard (and interpret trends)

This dashboard is designed to help you move from “headline numbers” to real understanding. Start by picking the question you want to answer. If you want to know what happened in a specific year, select that year and compare the results within a province or district. If you want a more stable picture, remove the year and use multi‑year averages to reduce volatility.

When you compare schools, remember that rankings are relative and can be affected by small differences. Two schools can be separated by many ranking positions even when their pass rates are similar, especially if there are many schools clustered in the same performance band. Use the ranking as a navigation tool, then read the underlying numbers—particularly Total Wrote and Total Achieved—to understand scale. Percentages without scale can mislead: small cohorts can swing dramatically from year to year, while large cohorts often move slowly but represent many learner outcomes.

Context matters. Province and district comparisons are often more actionable than national comparisons because they reduce “apples vs oranges” effects. Quintile context can also help you interpret results fairly. Quintiles are a socio‑economic classification; they can correlate with outcomes but are not a quality label. A strong way to use quintiles is to compare like‑for‑like, then look for outliers that outperform their peers.

Finally, treat trends as signals, not verdicts. A single-year jump (up or down) may reflect cohort composition, local disruptions, or program changes. Multi‑year stability and direction are often more informative. Use this site to identify where to investigate further: which districts are consistently strong, which schools are improving steadily, and where targeted support could make the biggest difference.

Search School
Find any school’s 2025 results instantly. Type the school name (or EMIS number) below and select a suggestion. You’ll see pass rates, cohort sizes, rankings and trends. Use Province/District filters to refine, or pick a Centre to view full history.
Year Province District Centre Quintile Candidates Progressed Total Achieved Pass Rate
2025 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 234 20 205
87.61%
2024 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 251 9 231
92.03%
2023 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 254 5 212
83.46%
2022 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 241 1 205
85.06%
2021 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 314 11 259
82.48%
2020 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 205 16 159
77.56%
2019 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 182 5 145
79.67%
2018 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 188 21 147
78.19%
2017 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 164 17 135
82.32%
2016 LIMPOPO CAPRICORN SOUTH SJ VAN DER MERWE TECHNICAL HIGH Quintile 4 170 24 153
90.00%
School Performance Summary
Pass Rate Trend

Matric Results FAQ

Start typing part of the school name in the search box. Autocomplete suggestions will appear – click one to load its historic results and rankings.

The pass rate is calculated as total candidates who achieved a pass divided by total candidates who wrote, expressed as a percentage for that year.

Rankings count how many distinct higher pass rates exist nationally, provincially or within a district / quintile group. This avoids overweighting duplicate identical scores.

The average pass rate treats each year equally; the cumulative rate weights years by candidate counts. Differences arise when cohort sizes vary significantly across years.

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