Food prices in Mali

377 series (market × food) in 90 markets, 243 with a forecast. Prices in XOF. Prices up to August 2026; forecast made October 2026.

Status of the 243 series with a forecast:

Crisis 0
Alert 1
Stress 3
Normal 239

Ranges below: November 2026, 80 % range (8 in 10 chance the price falls in this range). Chance of a spike: next month only. Warnings of new spikes have no proven skill yet. How often past forecasts were right.

Warnings

Crisis and alert first, then stress
Food	Market	Region	Status	Next month, 80 %	Spike chance
Millet	Yorosso	Sikasso	Alert	144–477 XOF/KG	26%
Rice (imported)	Ouelessebougou	Koulikoro	Stress	540–657 XOF/KG	14%
Rice (local)	Kayes Centre	Kayes	Stress	541–683 XOF/KG	19%
Rice (local)	Kiffosso	Sikasso	Stress	391–556 XOF/KG	14%

All series by food

Beans (niebe) (XOF per KG)

Market	Region	Status	Next month, 80 %	Spike chance
Ansongo	Gao	Normal	325–680	6%
Bandiagara Irregular reports	Mopti	–	not enough data
Bankass	Mopti	Normal	274–566	10%
Bourem Irregular reports	Gao	–	not enough data
Douentza Irregular reports	Mopti	–	not enough data
Forgho Irregular reports	Gao	–	not enough data
Gao Irregular reports	Gao	–	not enough data
Goundam Irregular reports	Tombouctou	–	not enough data
Haoussa Foulane Irregular reports	Gao	–	not enough data
Menaka Irregular reports	Gao	–	not enough data
Mopti Guangal	Mopti	Normal	480–763	8%
Niafunké Irregular reports	Tombouctou	–	not enough data
Ouattagouna Irregular reports	Gao	–	not enough data
Sareyamou Irregular reports	Tombouctou	–	not enough data
Taboye Irregular reports	Gao	–	not enough data
Temera Irregular reports	Gao	–	not enough data
Tombouctou Irregular reports	Tombouctou	–	not enough data
Tonka Irregular reports	Tombouctou	–	not enough data

Maize (XOF per KG)

Market	Region	Status	Next month, 80 %	Spike chance
Ansongo	Gao	Normal	244–356	3%
Badalabougou	Bamako	Normal	183–265	2%
Badinko	Kayes	–	not enough data
Bandiagara Irregular reports	Mopti	–	not enough data
Bankass	Mopti	–	not enough data
Bla	Segou	Normal	102–180	3%
Bougouni	Sikasso	Normal	152–217	2%
Dibida	Bamako	Normal	170–252	1%
Diéma	Kayes	–	not enough data
Dioïla	Koulikoro	Normal	110–166	0%
Dioro	Segou	–	not enough data
Diré	Tombouctou	Normal	206–345	3%
Djikoroni	Bamako	Normal	194–283	4%
Dogofri	Segou	–	not enough data
Dougouolo	Segou	–	not enough data
Fadjiguila	Bamako	Normal	206–302	6%
Faladié	Bamako	Normal	170–260	3%
Fana	Koulikoro	Normal	133–224	4%
Gao	Gao	Normal	326–467	4%
Goundam Irregular reports	Tombouctou	–	not enough data
Kati	Koulikoro	Normal	193–273	4%
Kayes Centre	Kayes	Normal	249–350	5%
Kayes N'Dy	Kayes	Normal	227–368	9%
Kayes Plateau	Kayes	–	not enough data
Kita	Kayes	Normal	161–246	1%
Kolokani	Koulikoro	Normal	157–276	4%
Koulikoro Ba	Koulikoro	Normal	178–242	0%
Koulikoro Gare	Koulikoro	Normal	182–248	3%
Koumantou	Sikasso	Normal	103–172	2%
Kouremalé	Koulikoro	Normal	176–253	1%
Koury	Sikasso	Normal	103–199	5%
Koutiala	Sikasso	Normal	114–186	2%
Lafiabougou	Bamako	Normal	206–319	6%
Loulouni	Sikasso	Normal	108–178	2%
M'Pèssoba	Sikasso	–	not enough data
Macina	Segou	Normal	159–342	9%
Magnambougou	Bamako	Normal	176–281	5%
Medine	Bamako	Normal	202–300	7%
Mopti Digue	Mopti	Normal	147–262	6%
Mopti Guangal	Mopti	Normal	153–225	1%
Niamakoro	Bamako	Normal	177–277	4%
Niarela	Bamako	Normal	186–288	3%
Niono	Segou	Normal	196–302	2%
Nioro	Kayes	Normal	238–341	3%
Ouelessebougou	Koulikoro	Normal	171–277	3%
Ouolofobougou	Bamako	Normal	172–302	4%
San	Segou	Normal	153–255	4%
Ségou Centre	Segou	Normal	129–220	4%
Ségou Château	Segou	Normal	136–209	2%
Shiango	Segou	–	not enough data
Sikasso Centre	Sikasso	Normal	117–170	1%
Sikasso Médine	Sikasso	Normal	137–189	0%
Sogoniko	Bamako	Normal	168–256	2%
Tombouctou	Tombouctou	Normal	220–388	7%
Tonka	Tombouctou	Normal	177–323	7%
Touna	Segou	Normal	96.6–180	4%
Yanfolila	Sikasso	Normal	94.1–164	2%
Yorosso	Sikasso	Normal	115–214	5%

Millet (XOF per KG)

Market	Region	Status	Next month, 80 %	Spike chance
Ansongo	Gao	Normal	272–439	8%
Attara Irregular reports	Tombouctou	–	not enough data
Badalabougou Irregular reports	Bamako	Normal	250–429	4%
Bamba Irregular reports	Gao	–	not enough data
Bambara Maoude Irregular reports	Tombouctou	–	not enough data
Bandiagara	Mopti	–	not enough data
Bankass	Mopti	Normal	150–268	6%
Bankoma Irregular reports	Tombouctou	–	not enough data
Bintagoungou Irregular reports	Tombouctou	–	not enough data
Bougouni	Sikasso	Normal	171–298	2%
Bourem	Gao	Normal	240–482	13%
Bourem Inaly Irregular reports	Tombouctou	–	not enough data
Dangha Irregular reports	Tombouctou	–	not enough data
Diallassagou	Mopti	Normal	138–313	15%
Dibida Irregular reports	Bamako	–	not enough data
Diéma Irregular reports	Kayes	–	not enough data
Dioïla	Koulikoro	Normal	180–318	6%
Dioro	Segou	Normal	140–237	3%
Diré	Tombouctou	Normal	283–425	1%
Djebok Irregular reports	Gao	–	not enough data
Djikoroni	Bamako	Normal	227–354	2%
Dogofri	Segou	Normal	221–344	3%
Douekire Irregular reports	Tombouctou	–	not enough data
Douentza Irregular reports	Mopti	Normal	176–406	8%
Dougouolo	Segou	–	not enough data
Fadjiguila	Bamako	Normal	230–376	1%
Faladié	Bamako	Normal	248–378	0%
Fana	Koulikoro	Normal	179–343	8%
Forgho Irregular reports	Gao	Normal	369–699	32%
Gao	Gao	Normal	310–483	5%
Goundam Irregular reports	Tombouctou	Normal	266–495	21%
Gourma Rharous Irregular reports	Tombouctou	–	not enough data
Haoussa Foulane	Gao	Normal	266–521	9%
Kati	Koulikoro	Normal	186–351	1%
Kayes Centre	Kayes	Normal	335–499	0%
Kayes N'Dy Irregular reports	Kayes	–	not enough data
Kayes Plateau	Kayes	–	not enough data
Kiffosso Irregular reports	Sikasso	–	not enough data
Kita	Kayes	Normal	220–460	10%
Kolokani Irregular reports	Koulikoro	–	not enough data
Koro	Mopti	Normal	163–313	8%
Koulikoro Ba	Koulikoro	Normal	176–289	0%
Koulikoro Gare	Koulikoro	Normal	201–312	2%
Koulogon	Mopti	–	not enough data
Koumantou	Sikasso	Normal	159–347	9%
Kouremalé	Koulikoro	Normal	197–334	5%
Kourouma	Segou	Normal	171–342	2%
Koury	Sikasso	Normal	163–341	8%
Koutiala	Sikasso	Normal	179–360	8%
Lafiabougou	Bamako	Normal	240–353	0%
Loulouni	Sikasso	Normal	184–349	0%
M'Pèssoba	Sikasso	–	not enough data
Macina	Segou	Normal	187–394	9%
Medine	Bamako	Normal	228–391	3%
Mopti Digue	Mopti	Normal	208–330	3%
Mopti Guangal	Mopti	Normal	208–344	4%
Niafunké Irregular reports	Tombouctou	–	not enough data
Niamakoro	Bamako	Normal	224–360	2%
Niarela	Bamako	Normal	211–351	2%
Niono	Segou	Normal	194–332	4%
Nioro	Kayes	Normal	211–425	1%
Ouelessebougou	Koulikoro	Normal	190–340	4%
Ouolofobougou	Bamako	Normal	233–373	4%
San	Segou	Normal	170–303	4%
Sareyamou Irregular reports	Tombouctou	–	not enough data
Ségou Centre	Segou	Normal	168–293	4%
Ségou Château	Segou	–	not enough data
Shiango	Segou	Normal	156–315	0%
Sikasso Centre	Sikasso	Normal	216–354	2%
Sikasso Médine	Sikasso	Normal	227–369	2%
Sirakorola	Koulikoro	Normal	147–339	18%
Sogoniko	Bamako	Normal	261–420	0%
Sokolo	Segou	Normal	174–344	8%
Taboye Irregular reports	Gao	–	not enough data
Temera Irregular reports	Gao	–	not enough data
Tombouctou	Tombouctou	Normal	246–431	8%
Tonka	Tombouctou	Normal	242–440	10%
Touna	Segou	–	not enough data
Yanfolila	Sikasso	Normal	319–553	18%
Yorosso	Sikasso	Alert	144–477	26%
Youwarou	Mopti	Normal	261–420	8%

Oil (palm) (XOF per L)

Market	Region	Status	Next month, 80 %	Spike chance
Bandiagara Irregular reports	Mopti	–	not enough data
Koro Irregular reports	Mopti	–	not enough data

Rice (imported) (XOF per KG)

Market	Region	Status	Next month, 80 %	Spike chance
Ansongo	Gao	Normal	447–603	0%
Badalabougou	Bamako	Normal	427–486	1%
Badinko	Kayes	Normal	463–527	0%
Bamba Irregular reports	Gao	–	not enough data
Bambara Maoude Irregular reports	Tombouctou	–	not enough data
Bandiagara	Mopti	–	not enough data
Bankass	Mopti	Normal	460–590	5%
Bankoma Irregular reports	Tombouctou	–	not enough data
Bla Irregular reports	Segou	–	not enough data
Bougouni	Sikasso	Normal	440–548	4%
Bourem Irregular reports	Gao	–	not enough data
Diallassagou Irregular reports	Mopti	Normal	444–582	4%
Dibida Irregular reports	Bamako	–	not enough data
Dioïla Irregular reports	Koulikoro	Normal	452–542	3%
Djikoroni	Bamako	Normal	414–484	2%
Douentza Irregular reports	Mopti	Normal	474–590	2%
Dougouolo Irregular reports	Segou	–	not enough data
Fadjiguila	Bamako	Normal	413–473	1%
Faladié	Bamako	Normal	424–474	0%
Fana Irregular reports	Koulikoro	–	not enough data
Haoussa Foulane	Gao	Normal	492–647	9%
Kati	Koulikoro	Normal	408–504	2%
Kidal Irregular reports	Kidal	–	not enough data
Kiffosso Irregular reports	Sikasso	Normal	480–588	4%
Kita Irregular reports	Kayes	Normal	376–539	0%
Koro	Mopti	Normal	467–571	4%
Koulikoro Ba	Koulikoro	Normal	407–491	2%
Koulikoro Gare	Koulikoro	Normal	403–481	1%
Koulogon Irregular reports	Mopti	–	not enough data
Koumantou	Sikasso	Normal	452–566	5%
Kouremalé	Koulikoro	Normal	495–570	6%
Koury Irregular reports	Sikasso	Normal	433–546	4%
Koutiala Irregular reports	Sikasso	–	not enough data
Lafiabougou	Bamako	Normal	419–474	1%
Loulouni	Sikasso	Normal	470–539	2%
M'Pèssoba Irregular reports	Sikasso	Normal	380–461	3%
Magnambougou	Bamako	Normal	423–474	0%
Medine Irregular reports	Bamako	–	not enough data
Menaka Irregular reports	Gao	Normal	556–930	20%
Mopti Digue Irregular reports	Mopti	–	not enough data
Niamakoro	Bamako	Normal	422–485	1%
Niarela	Bamako	Normal	420–475	0%
Ouattagouna Irregular reports	Gao	–	not enough data
Ouelessebougou	Koulikoro	Stress	540–657	14%
Ouolofobougou	Bamako	Normal	423–475	0%
San Irregular reports	Segou	–	not enough data
Sikasso Centre	Sikasso	Normal	438–520	1%
Sikasso Médine	Sikasso	Normal	438–523	2%
Sirakorola	Koulikoro	Normal	443–527	2%
Sogoniko	Bamako	Normal	422–483	2%
Taboye	Gao	Normal	475–651	3%
Temera Irregular reports	Gao	–	not enough data
Touna Irregular reports	Segou	–	not enough data
Yanfolila	Sikasso	–	not enough data
Yorosso Irregular reports	Sikasso	Normal	461–552	4%
Zangasso Irregular reports	Sikasso	–	not enough data

Rice (local) (XOF per KG)

Market	Region	Status	Next month, 80 %	Spike chance
Ansongo	Gao	Normal	437–667	2%
Attara Irregular reports	Tombouctou	–	not enough data
Badalabougou	Bamako	Normal	446–525	0%
Bamba Irregular reports	Gao	–	not enough data
Bandiagara Irregular reports	Mopti	–	not enough data
Bankass	Mopti	–	not enough data
Bankoma Irregular reports	Tombouctou	–	not enough data
Bla	Segou	Normal	364–493	0%
Bougouni Irregular reports	Sikasso	–	not enough data
Bourem	Gao	Normal	422–673	18%
Bourem Inaly Irregular reports	Tombouctou	–	not enough data
Dangha Irregular reports	Tombouctou	–	not enough data
Dibida	Bamako	Normal	442–520	0%
Diéma	Kayes	Normal	461–538	2%
Dioïla	Koulikoro	Normal	421–501	4%
Dioro	Segou	Normal	331–443	4%
Diré	Tombouctou	Normal	285–436	5%
Djikoroni	Bamako	Normal	443–522	1%
Dogofri	Segou	Normal	294–396	4%
Douentza Irregular reports	Mopti	Normal	427–508	2%
Dougouolo	Segou	Normal	387–469	4%
Fadjiguila	Bamako	Normal	452–513	0%
Faladié Irregular reports	Bamako	–	not enough data
Fana	Koulikoro	–	not enough data
Forgho Irregular reports	Gao	Normal	434–909	16%
Gao	Gao	Normal	487–652	0%
Goundam Irregular reports	Tombouctou	Normal	317–508	12%
Gourma Rharous Irregular reports	Tombouctou	–	not enough data
Haoussa Foulane	Gao	Normal	492–859	20%
Kati	Koulikoro	Normal	472–549	2%
Kayes Centre	Kayes	Stress	541–683	19%
Kiffosso	Sikasso	Stress	391–556	14%
Kita	Kayes	Normal	427–561	8%
Kolokani	Koulikoro	–	not enough data
Koulikoro Ba	Koulikoro	Normal	458–523	0%
Koulikoro Gare	Koulikoro	–	not enough data
Koumantou	Sikasso	Normal	376–426	0%
Kouremalé	Koulikoro	Normal	530–614	13%
Kourouma	Segou	Normal	304–417	1%
Koury	Sikasso	Normal	398–469	0%
Koutiala	Sikasso	Normal	375–467	3%
Lafiabougou	Bamako	Normal	450–526	2%
Loulouni	Sikasso	Normal	398–522	3%
M'Pèssoba	Sikasso	–	not enough data
Macina	Segou	Normal	294–417	7%
Magnambougou	Bamako	Normal	451–520	1%
Medine	Bamako	Normal	455–519	1%
Mopti Digue	Mopti	Normal	345–454	2%
Mopti Guangal	Mopti	Normal	406–524	4%
Niafunké Irregular reports	Tombouctou	–	not enough data
Niamakoro	Bamako	Normal	445–519	0%
Niarela	Bamako	Normal	453–520	1%
Niono	Segou	Normal	310–417	4%
Nioro	Kayes	–	not enough data
Ouattagouna Irregular reports	Gao	–	not enough data
Ouelessebougou	Koulikoro	Normal	518–606	5%
San	Segou	Normal	396–488	4%
Sareyamou Irregular reports	Tombouctou	–	not enough data
Ségou Centre	Segou	Normal	376–468	2%
Ségou Château	Segou	Normal	377–478	2%
Shiango	Segou	Normal	297–421	6%
Sikasso Centre	Sikasso	Normal	387–477	3%
Sikasso Médine	Sikasso	Normal	426–509	1%
Sirakorola	Koulikoro	–	not enough data
Sogoniko	Bamako	–	not enough data
Sokolo Irregular reports	Segou	–	not enough data
Taboye	Gao	Normal	460–798	20%
Temera Irregular reports	Gao	–	not enough data
Tombouctou	Tombouctou	Normal	343–489	2%
Tonka	Tombouctou	Normal	297–419	0%
Touna	Segou	Normal	383–475	5%
Yanfolila	Sikasso	–	not enough data
Yorosso	Sikasso	Normal	456–541	4%
Youwarou Irregular reports	Mopti	Normal	338–448	2%
Zangasso	Sikasso	Normal	397–501	4%

Rice (paddy) (XOF per KG)

Market	Region	Status	Next month, 80 %
Ansongo	Gao	–	not enough data
Bourem Inaly Irregular reports	Tombouctou	–	not enough data
Diré Irregular reports	Tombouctou	–	not enough data
Goundam Irregular reports	Tombouctou	–	not enough data
Sareyamou Irregular reports	Tombouctou	–	not enough data
Tonka Irregular reports	Tombouctou	–	not enough data

Sorghum (XOF per KG)

Market	Region	Status	Next month, 80 %	Spike chance
Ansongo Irregular reports	Gao	Normal	252–379	4%
Badalabougou	Bamako	Normal	222–341	1%
Badinko	Kayes	Normal	160–283	5%
Bandiagara Irregular reports	Mopti	–	not enough data
Bintagoungou Irregular reports	Tombouctou	–	not enough data
Bla	Segou	Normal	105–179	2%
Bougouni	Sikasso	Normal	174–256	3%
Diallassagou	Mopti	–	not enough data
Dibida	Bamako	Normal	219–320	1%
Diéma Irregular reports	Kayes	–	not enough data
Dioïla	Koulikoro	Normal	120–191	2%
Dioro	Segou	Normal	151–252	3%
Diré	Tombouctou	Normal	228–384	4%
Djikoroni	Bamako	Normal	213–291	1%
Dogofri	Segou	Normal	238–342	1%
Dougouolo	Segou	–	not enough data
Fadjiguila	Bamako	Normal	216–293	1%
Faladié	Bamako	Normal	212–308	1%
Fana	Koulikoro	–	not enough data
Gao	Gao	Normal	335–467	3%
Goundam Irregular reports	Tombouctou	Normal	174–412	20%
Kati	Koulikoro	Normal	196–282	2%
Kayes Centre	Kayes	Normal	255–350	4%
Kayes N'Dy	Kayes	Normal	287–460	8%
Kayes Plateau Irregular reports	Kayes	–	not enough data
Kita	Kayes	Normal	170–279	2%
Kolokani	Koulikoro	Normal	149–282	7%
Koulikoro Ba	Koulikoro	Normal	170–271	2%
Koulikoro Gare	Koulikoro	Normal	183–284	1%
Koumantou	Sikasso	Normal	147–266	5%
Kouremalé	Koulikoro	Normal	178–242	0%
Kourouma	Segou	Normal	207–334	3%
Koury	Sikasso	Normal	126–259	8%
Koutiala	Sikasso	Normal	121–202	2%
Lafiabougou	Bamako	Normal	217–293	2%
Loulouni	Sikasso	Normal	215–343	3%
M'Pèssoba	Sikasso	–	not enough data
Magnambougou	Bamako	Normal	219–296	0%
Medine Irregular reports	Bamako	–	not enough data
Mopti Digue	Mopti	Normal	171–248	2%
Mopti Guangal	Mopti	Normal	180–262	1%
Niafunké Irregular reports	Tombouctou	–	not enough data
Niamakoro	Bamako	Normal	228–319	2%
Niono	Segou	Normal	208–302	2%
Nioro	Kayes	Normal	223–343	2%
Ouelessebougou	Koulikoro	Normal	183–282	3%
Ouolofobougou	Bamako	Normal	213–293	1%
San	Segou	Normal	159–259	4%
Sareyamou Irregular reports	Tombouctou	–	not enough data
Ségou Centre	Segou	Normal	141–245	3%
Ségou Château Irregular reports	Segou	–	not enough data
Shiango Irregular reports	Segou	–	not enough data
Sikasso Centre	Sikasso	Normal	170–249	1%
Sikasso Médine	Sikasso	Normal	196–278	2%
Sirakorola	Koulikoro	Normal	132–241	4%
Sogoniko	Bamako	Normal	225–305	0%
Sokolo	Segou	Normal	170–289	4%
Tombouctou	Tombouctou	Normal	231–366	5%
Tonka	Tombouctou	Normal	189–335	6%
Touna	Segou	Normal	94.4–199	5%
Yanfolila	Sikasso	Normal	236–451	9%
Yorosso	Sikasso	Normal	109–220	4%
Youwarou	Mopti	Normal	244–373	4%

Wheat flour (XOF per KG)

Market	Region	Status	Next month, 80 %
Adjelhoc Irregular reports	Kidal	–	not enough data
Ansongo Irregular reports	Gao	–	not enough data
Bamba Irregular reports	Gao	–	not enough data
Bandiagara	Mopti	–	not enough data
Bankass	Mopti	–	not enough data
Bintagoungou Irregular reports	Tombouctou	–	not enough data
Bourem	Gao	–	not enough data
Bourem Inaly Irregular reports	Tombouctou	–	not enough data
Dangha Irregular reports	Tombouctou	–	not enough data
Douentza Irregular reports	Mopti	–	not enough data
Forgho Irregular reports	Gao	–	not enough data
Goundam Irregular reports	Tombouctou	–	not enough data
Haoussa Foulane	Gao	–	not enough data
Koro	Mopti	–	not enough data
Taboye	Gao	–	not enough data
Temera Irregular reports	Gao	–	not enough data
Tessalit Irregular reports	Kidal	–	not enough data
Tonka Irregular reports	Tombouctou	–	not enough data