| Value |
Category |
| 101 |
Botha-Bothe |
| 201 |
Hlotse |
| 202 |
Maputsoe |
| 203 |
Pitseng |
| 204 |
Peka |
| 205 |
Kolonyama |
| 206 |
Seshote |
| 207 |
Lejone |
| 301 |
Teya-teyaneng |
| 302 |
Mapoteng-Makhoroana |
| 303 |
Sefikeng |
| 304 |
Mamathe |
| 401 |
Maseru |
| 402 |
Semonkong |
| 403 |
Roma |
| 404 |
Mazenod |
| 405 |
Morija |
| 406 |
Matsieng |
| 407 |
Marakabei |
| 408 |
Likalaneng |
| 409 |
Ramabanta |
| 410 |
Rothe |
| 411 |
Mantsebo |
| 501 |
Mafeteng |
| 502 |
Tsa-Kholo |
| 503 |
Matelile |
| 504 |
Makhakhe |
| 505 |
Kolo |
| 506 |
Thabana-Morena |
| 601 |
Mohale?s Hoek |
| 602 |
Ketane |
| 701 |
Moyeni |
| 702 |
Mount Moorosi |
| 703 |
Mphaki |
| 801 |
Qacha?s Nek |
| 802 |
Sekake |
| 803 |
Sehlabathebe |
| 901 |
Mokhotlong |
| 902 |
Mapholaneng |
| 1001 |
Thaba-Tseka |
| 1002 |
Katse |
| 1003 |
Mantsonyane |
| 1004 |
Sehonghong |
| 8888 |
Not applicable |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.