| Value |
Category |
| 11 |
kayes |
| 12 |
bafoulabé |
| 13 |
diéma |
| 14 |
kéniéba |
| 15 |
kita |
| 16 |
nioro |
| 17 |
yélimané |
| 21 |
koulikoro |
| 22 |
banamba |
| 23 |
dioila |
| 24 |
kangaba |
| 25 |
kati |
| 26 |
kolokani |
| 27 |
nara |
| 31 |
sikasso |
| 32 |
bougouni |
| 33 |
kadiolo |
| 34 |
kolondiéba |
| 35 |
koutiala |
| 36 |
yanfolila |
| 37 |
yorosso |
| 41 |
ségou |
| 42 |
baraouéli |
| 43 |
bla |
| 44 |
macina |
| 45 |
niono |
| 46 |
san |
| 47 |
tominian |
| 51 |
mopti |
| 52 |
bandiagara |
| 53 |
bankass |
| 54 |
djénné |
| 55 |
douentza |
| 56 |
koro |
| 57 |
ténenkou |
| 58 |
youvarou |
| 61 |
tombouctou |
| 62 |
diré |
| 63 |
goundam |
| 64 |
gourma rharous |
| 65 |
niafunké |
| 71 |
gao |
| 72 |
ansongo |
| 73 |
bourem |
| 74 |
ménaka |
| 81 |
kidal |
| 82 |
abéibara |
| 83 |
téssalit |
| 84 |
tin essako |
| 91 |
bamako district |
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.