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How we use FAOSTAT in Nutrition
BA Burlingame
Nutrition in FAO• Food Consumption Surveys
• Nutrient Requirements (incl energy)
• Nutrition Country Profiles
• Total Diet Studies
• Food Systems Analysis
• Dietary Pattern Analysis
• Nutrients in agricultural production (vit A, lysine per hectare; DHA availability)
• Nutritional Epidemiology
• FIVIMS, number of hungry people
Strength in time series
Food Balance Sheet Database
Food Supply Database
0
1
2
3
4
5
6
1961 1967 1977 1987 1997
prot
ein/pe
rson
/day (
g) Milk - Excluding Butter
Poultry Meat
Animal productsAnimal products Vegetal productsVegetal products
0
20
40
60
80
100
120
NewZealand
Australia UnitedStates ofAmerica
Italy
ener
gy/p
erso
n/da
y (k
cal)
Product Beer
Product Wine
1998
0
20
40
60
80
100
120
140
160
1961 1965 1970 1975 1980 1985 1990 1995 1997
ener
gy/p
erso
n/da
y
Beer
Wine
Australia
0500
1000150020002500300035004000
Ener
gy (k
cal)
Carb
Fat
Protein
Extent of food deprivation
Prevalence Depth of hunger (kJ)
<850(200kcal)
850-1300(200-300kcal)
>1300(300 kcal)
Total
< 5% (low) 52 0 0 52
5-19%(moderate)
17 29 0 46
20% (high) 0 31 23 54
Total 69 60 23 152
Average food deficit of the undernourished
< 850 kJ/person/day
850-1300 kJ/person/day
> 1300 kJ/person/day
Depth of hunger1996-98
HighModerateLow
Infa
nt
Mo
rta
lity
Ra
te 1
99
7(i
nfa
nt
de
ath
s p
er
100
0 liv
e b
irth
s) 120
100
80
60
40
20
0
Depth of hunger and infant mortalityin developing countries
Depth of hunger and infant mortalityin developing countries
Depth of hunger and life expectancy in developing countries
Depth of hunger and life expectancy in developing countries
Depth of hunger 1996-98
HighModerateLow
Lif
e E
xpec
tan
cy
at B
irth
199
7 (y
ears
) 80
70
60
50
40
Depth of hunger and GDP growthin developing countries
Depth of hunger 1996-98
HighModerateLow
GD
P A
nnua
l Gro
wth
Rate
19
90-1
99
7(%
)
6
5
4
3
2
1
0
Food deprivation and GDP per capitain developing countries
Food deprivation and GDP per capitain developing countries
Food deprivation group
54321
GD
P p
er
capita
1990-1
99
7(I
NT
$,p
pp)
14000
12000
10000
8000
6000
4000
2000
0
Improving the quantity and
quality of diets
• 6.2 MJ/day (1480 kcal)
4.7 MJ from starchy staples
1.5 MJ from other foods
• 10.5 MJ/day (2 500 kcal)
5.7 MJ from starchy staples
4.7 MJ from other foods
National• Poland
– food consumption & eating habits– changes in dietary pattern and diet-related disease
• Argentina– Estimated vitamin A losses
• Finland– lead content of foods
• Norway– trans fatty acids
Regional• Europe
– “Tale of two commodities”
• Mediterranean Diet– fruits, veg, olive oil, wine
• Africa– Famine warning
• Nordic Countries low-fat dairy, edible fats
• Total Diet Studies – Regional Diets
Suggestions• Selected ESS staff should get training on food composition
because – they are in contact with countries on these issues – they compile compositional data for SUAs– this would enhance communication between ESS and AGN
• Training module should be developed for food composition • To enhance data quality, to enhance collaboration on issues
mentioned earlier and work to be carried out by consultants under AGN responsibility but supported by SO H
• Systematic error reporting mechanisms (e.g., different results for undernourishment between AGN and ESS using the same data, Cape Verde)
Future...• INFOODS link• Data suppliers and data users• International standards for compositional data (units, nutrient
expressions)• All energy-yielding components• Some micronutrients • Waste – household vs edible portion• Other terminology (DEC, DES)• Compositional databases = module in FAOSTAT• Commodity tree updates (generic and country-specific)• International standards for food classification/naming (Codex, Food
Comp...)• Collaboration in related activities, e.g., ICDAM, IFDC
FinalFAOSTAT is/should be the most important
output of FAO
Nutrition community uses (used) FAOSTAT data extensively
With a common platform for database development, several nutrition-related databases could be usefully linked
Time series is crucial