NECTA performance ranking
Top 10 Primary Schools in Ubungo Mc District, Tanzania – SFNA Rankings
Ranked for SFNA 2025 in Ubungo Mc District, Tanzania using comparable NECTA performance data, a minimum cohort of 10 candidates and candidate-size adjustment so tiny cohorts cannot unfairly lead the table. Rankings are analytical and are not official NECTA positions.
10shown
SFNAexamination
2025results year
Top performers
#1 in Ubungo Mc District, Tanzania
Results Derbab Primary School
View school profile →#2 in Ubungo Mc District, Tanzania
Results Carmelite Primary School
View school profile →#3 in Ubungo Mc District, Tanzania
Results Kinzudi Primary School
View school profile →| Rank | Institution | Region | District | Candidates | Pass rate | GPA / grade | Adjusted performance score | |
|---|---|---|---|---|---|---|---|---|
| #1 | Results Derbab Primary School PS0204171 | Dar Es Salaam | Ubungo Mc | 74 | — | A | 87.37 | Profile → |
| #2 | Results Carmelite Primary School PS0204190 | Dar Es Salaam | Ubungo Mc | 27 | — | A | 75.96 | Profile → |
| #3 | Results Kinzudi Primary School PS0204210 | Dar Es Salaam | Ubungo Mc | 113 | — | B | 74.57 | Profile → |
| #4 | Results Abby Junior Primary School PS0204216 | Dar Es Salaam | Ubungo Mc | 21 | — | A | 72.83 | Profile → |
| #5 | Results Makabe Hilltop Primary School PS0204138 | Dar Es Salaam | Ubungo Mc | 45 | — | B | 69.29 | Profile → |
| #6 | Results Itambo Primary School PS0204223 | Dar Es Salaam | Ubungo Mc | 13 | — | A | 67.11 | Profile → |
| #7 | Results Makange Primary School PS0204183 | Dar Es Salaam | Ubungo Mc | 17 | — | B | 62.14 | Profile → |
| #8 | Results Firdaus Primary School PS0204214 | Dar Es Salaam | Ubungo Mc | 16 | — | B | 61.71 | Profile → |
| #9 | Results Hebron Primary School PS0204168 | Dar Es Salaam | Ubungo Mc | 14 | — | B | 60.77 | Profile → |
| #10 | Results Kiungu Primary School PS0204197 | Dar Es Salaam | Ubungo Mc | 14 | — | B | 60.77 | Profile → |
The ranking uses comparable data for this exam/year, excludes cohorts below 10 candidates, and adjusts performance for candidate volume before ordering schools. Schools without enough comparable data are not forced into the ranking.