| Value |
Category |
| 101 |
Nkayi-Loudima |
| 102 |
Madingou |
| 103 |
Mouyondzi |
| 104 |
Loutété |
| 201 |
Makélékélé |
| 202 |
Bacongo |
| 203 |
Poto-Poto |
| 204 |
Moungali |
| 205 |
Ouenzé |
| 206 |
Talangaï |
| 207 |
Mfilou |
| 208 |
Madibou |
| 301 |
Mossaka-Loukoléla |
| 302 |
Alima |
| 303 |
Owando |
| 401 |
Etoumbi |
| 402 |
EWO |
| 501 |
Madingo-Kayes |
| 502 |
Hinda-Mvouti |
| 601 |
Zanaga-Bambama |
| 602 |
Sibiti |
| 701 |
Enyelle-Betou |
| 702 |
Impfondo |
| 801 |
Dolisie |
| 802 |
Kibangou |
| 803 |
Mossendjo |
| 901 |
Djambala-Lékana |
| 902 |
Gamboma |
| 903 |
Abala |
| 1001 |
Lumumba |
| 1002 |
Mvoumvou |
| 1003 |
Tié-Tié |
| 1004 |
Loandjili |
| 1005 |
N'Goyo |
| 1006 |
Mongo Mpoukou |
| 1101 |
Kinkala-Boko |
| 1102 |
Goma Tsé-Tsé |
| 1103 |
Mindouli |
| 1104 |
Kindamba-Vinza |
| 1105 |
Ignié-Ngabé |
| 1201 |
Souanké |
| 1202 |
Ouesso |
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.