Names distinctive to Malaysia

The list of names unique to Malaysia*

Female forenames

NameUniqueness Prevalence rank
1. Noraini 79% 1.
2. Norhayati 85% 2.
3. Zaiton 75% 5.
4. Norliza 73% 6.
5. Rokiah 81% 8.
6. Azlina 60% 4.
7. Sharifah 73% 11.
8. Salmah 65% 9.
9. Normah 76% 12.
10. Zaleha 92% 23.
11. Maznah 86% 21.
12. Rosnah 59% 17.
13. Hasnah 23% 3.
14. Rozita 53% 15.
15. Zaharah 81% 26.
16. Aishah 31% 7.
17. Kamariah 41% 13.
18. Norizan 45% 16.
19. Haslina 79% 28.
20. Norashikin 80% 30.
21. Rosnani 87% 32.
22. Rafidah 53% 22.
23. Rahimah 29% 10.
24. Sabariah 34% 14.
25. Zuraidah 41% 19.

Male forenames

NameUniqueness Prevalence rank
1. Shahrul 49% 1.
2. Yusri 77% 3.
3. Hisham 38% 2.
4. Vikneswaran 60% 8.
5. Shahril 26% 4.
6. Haziq 26% 6.
7. Azrul 22% 5.
8. Syazwan 30% 7.
9. Adult 79% 20.
10. Shahrizal 44% 11.
11. Mahathir 33% 10.
12. Rosmadi 43% 16.
13. Azli 21% 9.
14. Norazmi 32% 17.
15. Norhisham 32% 18.
16. Aizat 30% 15.
17. Megat 48% 28.
18. Zulkhairi 36% 23.
19. Azrin 25% 13.
20. Encik 100% 46.
21. Hazwan 33% 24.
22. Azhan 24% 14.
23. Izwan 21% 12.
24. Shahrizan 42% 30.
25. Rajadevan 100% 58.

Surnames

NameUniqueness Prevalence rank
1. Teh 97% 1.
2. Adzleen 100% 2.
3. Lim 32% 4.
4. Tan 21% 3.
5. Abdullah 26% 5.
6. Wong 29% 6.
7. Ling 65% 9.
8. Chong 56% 8.
9. Chin 53% 10.
10. Seng 86% 14.
11. Ng 29% 7.
12. Yee 61% 11.
13. Othman 62% 13.
14. Yusof 92% 19.
15. Salleh 87% 22.
16. Keong 94% 25.
17. Wei 54% 17.
18. Fong 49% 16.
19. Muniandy 96% 31.
20. Bakar 81% 28.
21. Goh 46% 18.
22. Choo 69% 23.
23. Hong 22% 12.
24. Peng 62% 24.
25. Mohamad 21% 15.

Distinctive names in
the related** countries

CountrySimilarity
Singapore 23%
Morocco 5%
Australia 4%

*The rank of the unique name is the geometric average of the name uniqueness and the name prevalence in the respective country. Name uniqueness is measured only by the exact grapheme form (not taking into account transliterational equivalents or phonetic similarities).

** Country similarity is the correlation of the relative frequency of the names shared by two countries (as measured by cosine similarity).