APPENDIX I: T A B L E S

Table 1: Food Security Policy Matrix

Unit of Intervention Issues: Important factors to consider Information: Identify vulnerable units for intervention Policies: Targeting vulnerable units

(a) Individual

· individual entitlements
· intrahousehold relations
· household labor and food allocation
· objective indicators
· subjective indicators
· household assets, labor allocation and resource distribution
· empowering women through improved asset holdings
· considering intrahousehold implications of policies
· targetting through supplemental feeding programs
Household · household entitlements (assets)
· timing of entitlements
· sources of uncertainty
· household consumption and expenditure
· household asset position
· coping and management strategies
· facilitate asset accumulation
· promote income generating activities
· promote microfinance schemes
Community · market integration
· social institutions
· resources and management
· community assets
· heterogeneity
· portfolio of economic activities
· facilitate channels of communication
· participatory infrastructure development
· promote sustainability
Sub-national · rural vs. urban
· food distribution channels
· aggregate risk
· rural vs. urban entitlements
· vulnerability maps
· food market structure
· appropriate food price policy
· national disaster preparedness and relief networks
· improve food transport systems
National · food supply (national production and imports)
· enabling macro environment
· social stability and security
· sources of supply
· national statistics
· sources of foreign exchange
· food aid programs
· promote equitable growth and poverty reduction
· increase agricultural productivity
· establish adequate supply channels
Regional · regional risks
· regional food commerce
· role of international organizations
· WFS activities
· sources of regional risk
· comparable national data
· regional trade links
· degree of regional cooperation
· regional disaster preparedness
· normalization of information collection
· promote trade and cooperation
· facilitate regional information flow

 

Table 2: FIVIMS Activities in LAC

Region/Country Main Funding and Technical Partners

FIVIMS Activities Completed and/or Planned

LAC: Barbados EC (proposed) FIVIMS "Start-up Package" *
Ecuador WFP, UNDP, FAO, UNICEF Work with WFP/VAM
Central America Region Navarra Region, Spain (proposed) Regional support to national FIVIMS in Central America to be discussed with Navarra delegation October 14-15, as part of "food security support package" under negotiation
Haiti EC (proposed), UNDP FIVIMS "Start-up Package" *
 

* FIVIMS "Start-up Package": This involves a three phase process over approximately two years:

(a) diagnostic study and definition of user information needs;
(b) improving national food security information products on a pilot basis; and
(c) design of subsequent system investment.
The proposed EC funding is similar to that of the FAO TCP program in level and catalytic role.

 

 

Table 3: Selected measures of food insecurity

Measure/Indicator

(i) Basis

(a) Limitations

(i) Usefulness

Undernourishment
Aggregate
· aggregate food intake versus nutritional requirements.
· assumptions about distribution.
· based on aggregate supply.
· difficult to determine nutritional requirements
· distributional assumptions
· estimate of global and regional food insecurity
· cross-country comparisons
· highlights problem of food insecurity
Undernourishment
Micro-level
· household or individual food intake · difficult to determine nutritional requirements
· problems with measuring food intake
· captures short-term food insecurity and not long-term or vulnerability
· more precise measure of food intake
· able to link food security with poverty and assets
· allows prediction of food insecurity
Undernutrition · anthropometric measures such as wasting, stunting, underweight · unable to separate food intake and health, etc. effects
· high data requirements
· captures long-term effects of food insecurity
· able to link food security with poverty and assets
· allows prediction of food insecurity
Coping strategies · analyzes strategies to counter food insecurity · location specific nature of risk-coping
· difficult to monitor beyond micro level
· better understanding of responses to food insecurity
· provides information for intervention
Indirect · predict food security based on sets of characteristics · dependent on understanding of characteristics of food insecure · lower information requirements
· can predict which individuals are vulnerable
Subjective   · high information requirements limit widespread application
· not conducive to statistical analysis
· better and more detailed information
· greater understanding of needs of food insecure

 

Table 4: Prevalence of undernourishment Latin America and the Caribbean

Country

Number of undernourished
(million)

Proportion of undernourished
(%)

  1979-81 1990-92 1995-97 1979-81 1990-92 1995-97
LATIN AMERICA AND THE CARIBBEAN 46.0 58.6 53.4 13 13 11
             
NORTH AMERICA 3.1 4.4 5.1 5 5 6
Mexico 3.1 4.4 5.1 5 5 6
CARIBBEAN 4.6 7.3 9.3 19 25 31
Cuba 0.3 0.3 2.1 3 3 19
Dominican Rp 1.4 2.0 2.1 25 28 26
Haiti 2.6 4.5 4.7 47 63 61
Jamaica 0.2 0.3 0.3 8 12 11
Trinidad Tob 0.1 0.1 0.1 5 12 11
CENTRAL AMERICA 4.5 4.8 5.6 20 17 17
Costa Rica 0.2 0.2 0.2 8 6 7
El Salvador 0.8 0.6 0.6 17 12 10
Guatemala 1.2 1.3 1.7 18 14 17
Honduras 1.1 1.1 1.2 31 23 21
Nicaragua 0.8 1.1 1.4 26 29 31
Panama 0.4 0.4 0.5 22 18 17
SOUTH AMERICA 33.8 42.1 33.3 14 14 10
Argentina 0.2 0.7 0.5 * * *
Bolivia 1.4 1.7 1.8 26 25 23
Brazil 18.2 19.4 16.2 15 13 10
Chile 0.7 1.1 0.7 7 8 5
Colombia 6.2 6.1 4.9 22 17 12
Ecuador 0.9 0.8 0.6 12 8 5
Guyana 0.1 0.2 0.1 13 24 16
Paraguay 0.4 0.8 0.6 13 18 13
Peru 4.9 8.9 4.6 28 40 19
Suriname 0.1 0.0 0.0 17 11 9
Uruguay 0.1 0.2 0.1 3 7 4
Venezuela 0.6 2.2 3.3 4 11  

 

Table 5. Changes over time in undernourishment, LAC countries 1990-92 to 1995-97

 

Absolute number of undernourished increased

Absolute number did not change

Absolute number of undernourished decreased

       
Proportion of undernourished increased Mexico
Caribbean
Cuba
Guatemala
Nicaragua
Costa Rica
Venezuela
   
Proportion did not change

Central America

   
Proportion of undernourished decreased Dominican Rep.
Haiti
Honduras
Panama
Bolivia
Jamaica
Trinidad Tob.
El Salvador

LAC
South America
Argentina
Brazil
Chile
Colombia
Ecuador
Guyana
Paraguay
Peru
Surinam
Uruguay

 

Table 6: Urban and Rural prevalence of underweight, stunted and wasted children

Country Survey Year   Age Range (years)

Wasting

Stunting Underweight
          <2SD Rural/ Urban ratio   <2SD Rural/ Urban ratio   <2SD Rural/ Urban ratio
Haiti 1994-95 Urban 0-4.99 7,8 1,0 24,2 1,5 22,1 1,3
    Rural 0-4.99 7,9   35,1   29,8  
Nicaragua 1993 Urban 0-4.99 1,8 1,1 15,5 1,9 7,7 1,9
    Rural 0-4.99 2,0   29,5   14,3  
  1997-98 Urban 0-4.99 1,8 1,4 19,0 1,7 9,9 1,5
    Rural 0-4.99 2,6   31,5   14,7  
Dominican Rep. 1991 Urban 0-4.99 1,3 1,2 12,0 1,9 7,6 1,9
    Rural 0-4.99 1,5   22,8   14,1  
  1996 Urban 0-4.99 1,3 0,9 7,3 2,1 3,9 2,2
    Rural 0-4.99 1,2   15,2   8,5  
Bolivia 1996 Urban 0-4.99 1,2 1,2 21,1 1,8 5,9 1,9
    Rural 0-4.99 1,4   37,7   11,1  
  1998 Urban 0-4.99 1,1 1,5 18,9 2,0 5,1 2,2
    Rural 0-4.99 1,6   37,8   11,0  
Honduras 1991-92 Urban 0-4.99 1,3 1,3 23,7 1.8 11,5 1,9
    Rural 0-4.99 1,7   43,7   21,8  
  1996 Urbana 0-4.99 1,2 1,2 20,9 2,2 10,1 3,0
    Urbanb 0-4.99 2,0 0,7 34,0 1,3 23,2 1,3
    Rural 0-4.99 1,4   45,0   30,0  
Peru 1991-92 Urban 0-4.99 1,5 1,3 21,6 2,2 6,4 2,8
    Rural 0-4.99 1,9   48,1   17,6  
  1996 Urban 0-4.99 0,8 2,1 16,2 2,5 3,9 3,5
    Rural 0-4.99 1,7   40,4   13,7  
Guatemala 1987 Urban 0.25-2.99 1,3 1,0 47,0 1,3 25,2 1,4
    Rural 0.25-2.99 1,3   62,0   36,2  
  1995 Urban 0-4.99 2,7 1,3 35,3 1,6 18,2 1,7
    Rural 0-4.99 3,5   56,6   30,6  
Venezuela 1987 Urban 0-4.99 1,4 1,4 3,6 2,1 3,4  
    Rural 0-4.99 2,0   7,7   7,8  
Paraguay 1990 Urban 0-4.99 0,2 2,5 8,9 2,0 2,8 1,5
    Rural 0-4.99 0,5   17,9   4,3  
Colombia 1986 Urban 0.25-2.99 1,5 0,7 25,1 1,3 10,0 1,5
    Rural 0.25-2.99 1,0   31,4   14,9  
  1995 Urban 0-4.99 1,0 2,1 12,5 1,5 6,6 1,7
    Rural 0-4.99 2,1   19,1   11,4  
Jamaica 1989 Urban 0-4.99 3,4 1,0 6,8 1,5 5,9 1,4
    Rural 0-4.99 3,4   10,1   8,1  
Trin. and Tab. 1987 Urban 0.0-2.99 2,4 1,9 5,0 0,9 4,4 1,9
    Rural 0.0-2.99 4,6   4,6   8,2  
El Salvador   Urbanc 0-4.99 0,3 6,0 13,6 2,1 7,2 1,9
    Urbana 0-4.99 1,2 1,5 20,1 1,4 9,1 1,5
    Rural 0-4.99 1,8   28,1   14,0  
El Salvador   Urbanc 0-4.99 0,3 6,0 13,6 2,1 7,2 1,9
    Urbana 0-4.99 1,2 1,5 20,1 1,4 9,1 1,5
    Rural 0-4.99 1,8   28,1   14,0  
  1994 Urbanc 0-4.99 0,0   7,7 4,5 1,8 11,2
    Urbana 0-4.99 5,7 0,4 21,0 1,6 12,6 1,6
    Rural 0-4.99 2,4   34,4   20,1  
Brazil 1996 Urban 0-4.99 2,3 1,1 7,8 2,4 4,6 2,0
    Rural 0-4.99 2,6   19,0   9,2  
Costa Rica 1996 UrbanC 1-6.99 2,2 1,4 6,6 1,0 4,0 1,7
    Urbana 1-6.99 1,5 2,1 5,1 1,3 4,2 1,6
    Rural 1-6.99 3,1   6,5   6,7  
Ecuador 1986 Urband 0-4.99     41,8 1,1 31,7 1,3
    Urbane 0-4.99     50,2 1,4 35,1 1,5
    Rurald 0-4.99     47,1   41,1  
    Rurale 0-4.99     69,8   51,9  
 

Source: WHO Global Database on Child Growth and Malnutrition.

a. Other urban areas

b. Tegucigalpa

c. Metropolitan Area

d. Coast Region

e. Sierra Region

 

 

Table 7: Stunted children in urban and rural areas, selected countries

Country

Survey year

Age Range (yrs)

Urban a Stunting
prevalence a

Numberb Stunted in urban
areas
(000s)

Rurala Stunting prevalence

Numberb Stunted in rural areas
(000s)

Percentage of all stunted children in urban areas

Percentage of all stunted children in rural areas

Haiti

1994-95

0-4.99

24.2

77.7

35.1

275.2

22

78

Nicaragua

1993

0-4.99

15.5

46.0

29.5

103.3

30.8

69.2

 

1997-98

0-4.99

19

67.9

31.5

126.0

35

65

Dom. Rep.

1991

0-4.99

12

58.3

22.8

105.5

35.6

64.4

 

1996

0-4.99

7.3

38.0

15.2

66.0

36.6

63.4

Bolivia

1996

0-4.99

21.1

135.0

37.7

188.9

41.7

58.3

 

1998

0-4.99

18.9

138.4

37.8

180.9

43.3

56.7

Honduras

1991-92

0-4.99

23.7

70.3

43.7

235.7

23

77

 

1996

0-4.99

25.3

91.1

45

254.8

26.3

73.7

Peru

1991-92

0-4.99

21.6

385.8

48.1

533.4

42

58

 

1996

0-4.99

16.2

297.6

40.4

430.3

40.9

59.1

Guatemala

1987

0.25-2.99

47

212.6

62

590.1

26.5

73.5

 

1995

0-4.99

35.3

198.0

56.6

640.7

23.6

76.4

Venezuela

1987

0-4.99

3.6

70.4

7.7

40.7

63.4

36.6

Paraguay

1990

0-4.99

8.9

25.8

17.9

69.8

27

73

Colombia

1986

0.25-2.99

25.1

675.6

31.4

485.1

58.2

41.8

 

1995

0-4.99

12.5

404.3

19.1

289.7

58.3

41.7

El Salvador

1993

0-4.99

17.2

52.7

28.1

111.5

32.1

67.9

Brazil

1996

0-4.99

7.8

917.5

19

847.6

52

48

Costa Rica

1996

1-6.99

5.8

10.9

6.5

14.9

42.3

57.7

 

a. Source is the WHO Global Database on Child Growth and Malnutrition WWW.WHO.ORG  Stunting is defined as height-for-age <-2SD compared to reference standards.

b. The number of stunted children in urban (rural) areas is calculated as the number of urban (rural) children less than 5 years old (from ECLAC, 1999b) X the prevalence of stunting in urban (rural) areas. The population year was matched

 

 

Table 8. Changes over time in prevalence of stunted urban children

  Absolute number of urban stunted children increasing Absolute number of urban stunted children decreasing
Share of urban stunted children increasing Nicaragua (1993-98)
Bolivia (1996-98)
Honduras (1991-96)
Dom. Republic (1991-96)
Colombia (1986-95)
Share of urban stunted children decreasing Guatemala (1987-95) Peru (1991-96)

 

Table 9: Prevalence of underweight, stunted and wasted girls and boys

Country

Survey Year

Area

Age Range
(years)

Wasting

Stunting

 

Underweight

       

<-2SD

F/M

<-2SD

F/M

<-2SD

F/M

         

ratio

 

ratio

 

ratio

Haiti

1994-95

Male

0-4.99

8.4

0.9

31.8

1.0

26.9

1.0

   

Female

0-4.99

7.2

    

32.0

  

28.0

 

Nicaragua

1997-98

Male

0-4.99

2.2

1.0

26.5

0.9

13.1

0.9

     

Female

0-4.99

2.1

   

23.4

  

11.3

   

Dom. Republic

1996

Male

0-4.99

1.6

0.6

12.0

0.8

6.4

0.8

     

Female

0-4.99

0.9

 

9.4

 

5.3

 

Bolivia

1998

Male

0-4.99

1.5

0.7

27.3

1.0

7.6

1.0

    

Female

0-4.99

1.1

 

26.3

 

7.6

 

Honduras

1996

Male

1-4.99

1.9

0.4

39.3

1.0

24.0

1.1

     

Female

1-4.99

0.8

 

38.5

 

26.8

 

Peru

1996

Male

0-4.99

1.2

0.9

26.4

1.0

8.1

0.9

   

Female

0-4.99

1.1

 

25.1

 

7.4

 

Guatemala

1995

Male

0-4.99

3.6

0.8

50.4

1.0

25.9

1.1

   

Female

0-4.99

2.9

 

49.1

 

27.3

 

Venezuela

1997

Male

0-4.99

2.9

1.0

16.3

0.8

5.2

0.9

   

Female

0-4.99

3.0

 

13.5

 

4.9

 

Paraguay

1990

Male

0-4.99

0.2

2.0

14.3

0.9

3.2

1.3

   

Female

0-4.99

0.4

 

13.5

 

4.1

Colombia

1995

Male

0-4.99

1.4

0.9

16.2

0.8

9.1

0.8

   

Female

0-4.99

1.3

 

13.7

 

7.6

 

Jamaica

1989

Male

0-4.99

3.3

1.1

12.4

0.4

8.9

0.6

   

Female

0-4.99

3.5

 

5.1

 

5.6

 

Trin. and Tob.

1987

Male

0.0-2.99

3.7

1.0

4.9

0.9

5.9

1.3

   

Female

0.0-2.99

3.7

 

4.6

 

7.4

 

El Salvador

1994

Male

0-4.99

5.1

0.5

27.5

0.8

15.7

0.9

     

Female

0-4.99

2.6

 

23.1

 

13.8

 

Brazil

1996

Male

0-4.99

2.3

1.0

11.5

0.8

5.9

0.9

   

Female

0-4.99

2.4

 

9.4

 

5.4

 

Costa Rica

1996

Male

1-6.99

3.7

0.3

5.8

1.1

6.2

0.6

   

Female

1-6.99

1.0

 

6.5

 

4.0

 

Argentina

1994

Male

0-4.99

1.8

0.2

7.4

0.3

3.4

0.1

   

Female

0-4.99

0.3

 

2.2

 

0.5

 

 

Source: WHO Global Database on Child Growth and Malnutrition.

 

 

Table 10: Changes in poverty prevalence in the 1990's

Country

Years

Earliest
(%)

Latest
(%)

Argentina (B. Aires) 

90-97

16

13

Bolivia 

90-97

47

44

Brazil 

90-96

41

29

Chile 

90-96

39

20

Colombia a 

88-95

23

15

Costa Rica 

90-97

24

20

Dom. Rep.a 

86-92

33

34

Ecuador 

90-97

56

50

El Salvador a

91-96

60

52

Honduras 

90-97

75

74

Jamaicaa 

89-95

25

22

Mexico 

89-96

39

43

Nicaragua 

85-93

73

76

Panama 

91-97

36

27

Paraguay (Asuncion)

90-96

37

40

Paraguay (rural)a

92-95

53

60

Peru b 

91-96

55

46

Uruguay 

90-97

12

6

Venezuela 

90-97

34

42

 

Source: ECLAC, 1999a
a. Morley (1998) 
b. Escobal et al (1998

 

 

Table 11: Changes in undernourishment and poverty prevalence in the 1990's

  Prevalence of  undernourishment increased Prevalence of  undernourishment decreased
Prevalence of  poverty increased Mexico
Nicaragua
Venezuela
Paraguay
Prevalence of  poverty decreased Costa Rica

LAC
Argentina
Bolivia
Brazil
Chile
Colombia
Ecuador
El Salvador
Honduras
Jamaica
Panama
Peru
Uruguay

 

Table 12: Change in Social Public Expenditure in the 1990's

 

Social expenditure as % of GDP

Social expenditure as % of public expenditure

 

1990-91

1994-96

1990-91

1994-96

Bolivia

6

9.8

30.5

37.1

Brazil

9.4

11.2

27.2

33.9

Chile

13.8

14.4

58.1

61.8

Colombia

7.9

13.3

28.7

39.3

Costa Rica

17.7

19.6

63.6

61.9

Dom. Rep.

3.7

5.4

35

32.4

Ecuador

8.3

7.8

38.7

32.4

El Salvador

4.1

3.6

29.9

23.8

Guatemala

3.3

3.9

29.9

37.9

Jamaica

11.6

11.7

26.8

31.9

Nicaragua

11.5

13.4

33.7

29.8

Peru

2.2

3.3

13.8

18.6

 

Source: ECLAC, 1999c

 

 

Table 13: Changes in undernourishment and social expenditure in the 1990's

  Prevalence of undernourishment increased Prevalence of undernourishment decreased
Social expenditure as percentage of public expenditure increased Guatemala Bolivia
Brazil
Chile
Colombia
Jamaica
Peru
Social expenditure as percentage of public expenditure decreased Costa Rica
Nicaragua
Ecuador
El Salvador

 


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