Nursing — University of Jaffna

Minimum Z-score cut-off marks by district, admission years 2021/22 to 2025/26. Source: official UGC cut-off publications (ugc.ac.lk). "—" means no qualified intake from that district that year.

2025/26

1.0375–1.2809

Varies by district

Lowest district

1.0375

Kilinochchi

Highest district

1.2809

Ratnapura

Districts

23

5 years tracked

In 2025/26, the minimum Z-score for Nursing at University of Jaffna ranged from 1.0375 in Kilinochchi to 1.2809 in Ratnapura, across 23 districts. Compared with 2024/25, the cut-off rose in 18 districts and fell in 3. Over 5 admission years the median district cut-off moved from 0.8880 to 1.1371. 1 districts had no qualified intake in 2025/26.

District2021/222022/232023/242024/252025/26vs last year
Ampara0.84561.05311.01761.20271.2437
▲ 0.04
Anuradhapura0.80590.84950.96250.98721.1371
▲ 0.15
Badulla0.86570.97831.01900.98681.0390
▲ 0.05
Batticaloa0.91690.93741.03421.14001.2494
▲ 0.11
Colombo0.80580.83520.94680.97951.0427
▲ 0.06
Galle—1.00611.1608—1.2429
Gampaha0.81220.84150.94040.98441.0478
▲ 0.06
Hambantota——1.0495——
Jaffna0.87550.96371.02871.10821.2605
▲ 0.15
Kalutara1.0606—1.06851.17311.1863
▲ 0.01
Kandy0.80570.84950.94181.00301.0828
▲ 0.08
Kegalle—0.84981.01131.14431.1093
▼ 0.04
Kilinochchi0.8880—0.95711.21491.0375
▼ 0.18
Kurunegala0.92880.86920.93621.04571.1476
▲ 0.10
Mannar—0.91791.16631.12901.2575
▲ 0.13
Matale1.01200.97040.97671.07531.1276
▲ 0.05
Monaragala—1.1008—1.27601.2074
▼ 0.07
Mullaitivu0.96480.9836——1.2040
Nuwara Eliya0.80150.90301.01570.97701.0488
▲ 0.07
Polonnaruwa0.97770.84001.02610.98171.0844
▲ 0.10
Puttalam0.83580.90750.93900.99521.1086
▲ 0.11
Ratnapura0.92530.91341.01071.06111.2809
▲ 0.22
Trincomalee0.89551.01921.02921.21211.2223
▲ 0.01
Vavuniya1.01991.03901.05041.02131.0936
▲ 0.07

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Related cut-off pages

Cut-off marks are the minimum Z-scores at which candidates were admitted in previous years, published by the University Grants Commission. They change every year with demand and intake numbers; nothing on this page is a prediction.