The Food Index

Explore our interactive snapshot of 125 countries showing the best and worst places in the world to eat, and the challenges people face getting enough of the right food.

Around the world, one in eight people go to bed hungry every night, even though there is enough food for everyone. Our graph illustrates how overconsumption, misuse of resources and waste are common elements of a system that leaves hundreds of millions without enough to eat.

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CHA
Chad50125407558942962727172140208
ETH
Ethiopia49123526458535152907281080004
ANG
Angola491233234337910090646665120810
MAD
Madagascar48122378159592341977486100106
YEM
Yemen47121399567422534676466221921
BDI
Burundi451191007889672245473642030303
NIG
Niger45119168852812453627066130208
MOZ
Mozambique44118524046661239907583120509
ZIM
Zimbabwe431174222326210081622845160812
SLE
Sierra Leone42116404744791849666063190814
LAO
Lao40112367053690839864365090206
TAN
Tanzania40112463641801045626664130610
GUI
Guinea401121846321002663713754150510
TOG
Togo40112184532701945865872150510
MLI
Mali39110056234603548814965160511
NGR
Nigeria39110055932772049725564190814
BUR
Burkina Faso38109335745652344842856130208
BAN
Bangladesh37102199155400824982461190010
CAF
Central African Republic37102386250691241554751110307
ZAM
Zambia37102623348321926885170090407
CIV
Côte d'Ivoire37102266546661139762953170712
CGO
Congo37102462636841751673953120509
KEN
Kenya37102343635782552555555090407
SWZ
Swaziland37102501633671441643952222725
GAM
Gambia36100193527971958671541241017
LES
Lesotho36100183024481934983265251922
IND
India3497219659391125671240260114
PAK
Pakistan3497216845661943471230340620
SEN
Senegal3497284235601035673853210815
IRQ
Iraq3395351626382029642143293733
MTN
Mauritania3395063521680838457158121715
NEP
Nepal3291196442421328841851190010
SRL
Sri Lanka3291304839512940571034210614
BEN
Benin3291034524591638833459060707
AZE
Azerbaijan3291001910552239692849343233
CAM
Cambodia3188186441221117884768000101
CMR
Cameroon3188153726601035593648211317
GBS
Guinea-Bissau3188103824571637674054150510
NAM
Namibia3085403940481632590934161214
UGA
Uganda3085413639532740383637050505
MAW
Malawi3085253028521333832353050505
RWA
Rwanda2983412634491733484446040505
INA
Indonesia2983084125591135762249090507
MGL
Mongolia2880271220483542432132201920
EGY
Egypt2880001508572039760139104628
IRI
Iran2880001005891653550731182622
STP
Sao Tome and Principe2777053219792552410423181215
GAB
Gabon2777031911830745501734191819
TUR
Turkey2777000804554249470024223830
BOT
Botswana2671342530571436430524151415
VIE
Viet Nam2671074526442736660636120107
BOL
Bolivia2671271019421931501734202422
GHA
Ghana2671003216461330711945210915
KSA
Saudi Arabia2671001206191015530429614654
VEN
Venezuela2671000804732147311021264234
PHI
Philippines2567194633380723641138070707
PAR
Paraguay2567290819441831341927242424
SYR
Syria2567032213361727411428293733
RSA
South Africa2567001910341123531233294336
MAR
Morocco2465020705410523642545262224
KGZ
Kyrgyzstan2465030605600633551636252123
CPV
Cape Verde2357092618331022401628391326
ECU
Ecuador2357191417422534221217222926
MRI
Mauritius2357022916471230410021282527
CHI
China2357120810611438501231230715
FIJ
Fiji2357001508300819410523434243
ARM
Armenia2357001206541032400121363335
BIH
Bosnia and Herzegovina2357000402441530450224353636
BLR
Belarus2357000302513845240012313332
PER
Peru2251121011430625592140062114
URU
Uruguay2251031308301523450023333434
ROU
Romania2251000804312629361727282627
TUN
Tunisia2251000704470325520529323031
JOR
Jordan2251000402241419410523464144
LTU
Lithuania2251000000511533241118343836
MDV
Maldives2144023921442836290216091713
MAS
Malaysia2144002814410523430122281823
KAZ
Kazakhstan2144001106321323410724323232
MEX
Mexico2144000804260315360822404442
MDA
Moldova2144000704372029400523322931
RUS
Russia2144000603401126340419333635
CHI
Chile2144000101421227380220294035
THA
Thailand2042031509550731500628141113
ALB
Albania2042001407470526290819262928
KUW
Kuwait1941000402090809340118355847
COL
Colombia1836100809430725311021082316
ARG
Argentina1836000503272627160109314136
BUL
Bulgaria1836000402281622290115323232
MAC
Macedonia1836000402411428240113272928
KOR
South Korea1836000201612443380321090909
UKR
Ukraine1733000201221318310317332931
SLO
Slovenia1733000000310920260114313935
MLT
Malta1733000000330620190010354038
CZE
Czech Republic1630000503220715120006344540
CRO
Croatia1630000101340721190211303332
LAT
Latvia1630000000281522210212313433
BRA
Brazil1525050505261420190412252525
EST
Estonia1525000000331424210212252827
SVK
Slovakia1525000000290819220011293532
HUN
Hungary1525000000330921100005303834
CAN
Canada1525000000250113100005313634
ISR
Israel1423000000240716210011263631
NZL
New Zealand1423000000240615090005323936
USA
United States of America1321000302110106030203364641
JPN
Japan1321000000520127310016160611
ESP
Spain1213000402150510070004323634
GRE
Greece1213000201160410160008302729
GER
Germany1213000201160511090005293432
UK
United Kingdom1213000000210614160008183728
NOR
Norway1213000000190412160008312930
FIN
Finland1213000000190713140007273129
CYP
Cyprus1213000000240414090005233529
ICE
Iceland1213000000181919000000263229
IRE
Republic of Ireland118000000111011210011143424
ITA
Italy118000000210312170009222725
POR
Portugal118000000140610170009173325
LUX
Luxembourg118000000160209070004233630
AUS
Australia118000000190311050003233730
DEN
Denmark104000000180512090005212423
SWE
Sweden104000000180411090005212523
AUT
Austria104000000211016070004132821
BEL
Belgium104000000170210070004243027
FRA
France082000000140309100005122418
SUI
Switzerland082000000140208020001202322
NED
Netherlands061000000060707030002092517
002000070140270020001202390
 
 
 
 
 
 
 
 
 


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Data

×
Rank

Overall:

Enough to eat:

Food affordability:

Food quality:

Health:

 
BestWorst
GoodBad
GoodBad
High qualityLow quality
LowHigh
Africa
Asia
Australasia
Europe
North America
South America
  • How are points in the index allocated ?

    Eight established global data sources were identified that capture aspects of the food market relevant for this index. The statistics are from different years, but all the figures are the most recently available from global data sources, such as the World Health Organisation, Each of the sources used different scales in measuring the countries, requiring a process to standardise them so that they could be compared. The standard MIN / MAX rescaling method was used, generating re-scaled values of 0-100 where 0 points is the minimum score (best) and 100 points is the maximum score (worst). The process is based on identifying the countries with the minimum and maximum scores in the original data, scoring them 0 and 100 respectively and then measuring how far every other country is from these maximum and minimum values.

    All countries with data for each measure were included in the re-scaling process to ensure that the final result was a globally comparable one. However, only the countries that had data for all eight measures were included in the final index, with one exception. For most developed countries, there is no data available for the underweight children measure. For those countries that achieved the minimum score for the undernourishment measure they were assumed to also be amongst the best in the world for measures for underweight children. The Good Enough To Eat database therefore includes 125 countries. That some of the measures do not include minimum or maximum scores illustrates that there are countries that are better or worse but are not included in the index because they do not have data available for the other measures.

  • Is the data used in the index freely available ?

    Yes. The data used to create the Food Index is available as an Excel spreadsheet here (.xls, 70KB). The raw data of all countries is also available as a CSV file here (.csv, 7KB).

  • What is wrong with the global food system ?

    The Good Enough to Eat Index highlights some of the areas of critical concern for many countries when it comes to making sure that people can eat well, and indicates some important failings of the global food system that must be addressed.

    The relationships between food and the people it must feed for their survival is clearly under pressure and action is urgently needed before the system is stretched further.

    In the UK, a record 500,000 people are turning to food banks because they are finding it too hard to afford the food they need. More must be done to address some of the underlying challenges that people are increasingly facing such as unemployment, low wages and rising food and fuel prices. The government must conduct an urgent inquiry into the relationship between welfare changes and cuts, and the growth of food poverty.

    Global action is also needed to fix the broken food system so that people are better able meet their food and nutrition needs. This includes:

    • Investing in small-holder agriculture and infrastructure in developing countries to raise production levels and diversity of crops, and give farmers access to markets and the means to store food to prevent waste.
    • Tackling climate change by reducing global carbon emissions to prevent ever-worse climate impacts on food production, investing in resilient agriculture production that can adapt to a changing climate, and raising climate finance so that farmers can adopt better practices and technologies to respond to climate change.
    • Scrapping biofuels targets like those in the EU which divert food from mouths to fuel tanks.
    • Improving land rights so that vulnerable communities are at less risk of losing the land they rely on to grow food taken away from them.
    • Action from governments and the food industry to curb the rise in overweight and obesity levels, which represents a critical health issue in developing and emerging economies.
    • Better regulating food speculation to help prevent high and volatile food prices.
  • How is Oxfam helping ?

    Oxfam is working towards a world where everyone has enough to eat and where women especially have the opportunity to earn a decent living. Find out more about our work on food issues.

Video: Dave Myers in Cambodia

Hairy Biker Dave Myers visits Cambodia to see how Oxfam is helping lift lives for good.

Watch footage from the trip