|
Monitoring progress towards hunger reduction goals
In the last decade some progress has been made in
reducing the developing world's undernourished population, both
in absolute numbers (with a decline of approximately 40 million)
and as a proportion of the total population (falling from 20 to
17 percent).
However, progress has been very uneven from country
to country. While the total number of undernourished has declined,
the majority of countries have seen their numbers rise. As many
readers will doubtless point out, the primary interest should not
be aggregate statistical indicators. What really matters is the
action being taken to reduce food deprivation and poverty at the
country level.
How is this problem perceived in each of these countries?
Is there a manifest national commitment to deal with the problem
as an urgent priority? Is it possible to know whether national leaders
take this issue seriously? There are certain indicators that can
help us gauge a nation's response to food insecurity.
First, let us start with the numbers of undernourished
as estimated by FAO. How are these numbers perceived at the country
level? Is the estimate thought to be too high and, if so, on what
basis? It is always encouraging, as well as useful, when countries
put forward alternative figures that have stronger empirical foundations,
since this demonstrates that they are grappling with the problem.
Next, if the FAO estimate (or an alternative) is plausible,
who are the people who are undernourished and where in the country
do they live? Does the country concerned know about its poor and
hungry? Does it characterize them in terms of livelihoods, environment
and any special risks they face, such as drought or disease? Does
it know why these groups suffer from chronic food deprivation? Is
it willing to construct an operationally useful set of vulnerability
profiles?
Finally, what resources are being used to treat both
the symptoms and the more fundamental causes of undernourishment
and poverty? Is food aid available? Are there other safety net programmes,
including mechanisms that provide cash assistance? Are long-term
research and development efforts under way to increase and sustain
the productivity of the natural resource base? Are educational programmes
in place to improve health and hygiene practices? Are these investments
adequate to bring an end to the problems faced? If not, what additional
resources can be mobilized and is the country taking action to mobilize
them? How can local communities contribute to filling the "resource
gap" and is government (and the international community) supporting
their efforts?
The aim of these questions is to assess a country's
commitment to overcoming hunger and deprivation. What each country
actually needs to do will depend on specific national circumstances.
As has been said in past years, there is no single formula to follow.
The examples of "taking action" in The State of Food Insecurity
in the World 2001 have covered a variety of interventions that can
have a significant impact. These interventions show how much can
be done, if the political will and the resources are there. They
also show that eliminating hunger is not just a moral imperative;
it also makes economic sense - increasing productivity, raising
incomes, creating jobs and adding to the demand for goods and services
throughout the economy.
FAO continues to believe that the goal of halving
the number of undernourished people in the world by 2015 can be
achieved, if countries and their development partners make this
their objective. It has become clear, however, that the resources
needed to accomplish this task are not being made available when
and where they are most needed. In some cases, this is because countries
are in the midst of a civil war, which dramatically increases the
number of the hungry and effectively blocks all but minimal assistance.
In other cases, external partners have refrained from doing all
they might, because of past corruption and misuse of resources in
recipient countries.
Reductions in undernourishment over the past decade
FAO's latest estimates indicate that, in 1997-99,
there were 815 million undernourished people in the world: 777 million
in the developing countries, 27 million in transition countries
and 11 million in the industrialized countries.
For the developing countries, the latest figure represents
a decrease of 39 million since 1990-92 (the benchmark period used
at the World Food Summit), for which the revised figure is 816 million
undernourished. This means that the average annual decrease now
stands at about 6 million people.
Clearly, there has been a slowdown in the reduction
of undernourished in the world. As a consequence, to achieve the
World Food Summit goal of halving the number of undernourished in
developing countries by 2015, the average annual decrease required
is no longer 20 million but 22 million - well above the current
level of performance.
The overall decline in the number of undernourished
in the developing regions hides contrasting trends in different
countries: only 32 of the 99 developing countries studied recorded
a decrease in their numbers of undernourished between 1990-92 and
1997-99. The total reduction achieved by this group amounted to
116 million people. This compares with a total increase of 77 million
recorded for the countries in which the number of undernourished
rose. Because the first group includes several large countries,
such as China, Indonesia and Thailand in Asia and Nigeria in Africa,
the total reduction achieved outweighed the total increase in the
second, numerically larger group of countries. Hence the net reduction
of 39 million.
Thus, the number of undernourished has increased considerably
in the majority of developing countries, despite a widespread reduction
in the prevalence of undernourishment (proportion of undernourished
in total population). In the case of many African countries, the
proportion of undernourished was very high in 1990-92 and, even
in the case of improvements such as in Chad, Mozambique, Malawi
and Angola, the proportion remained high in 1997-99. Because of
their high population growth rates (3.2 percent per annum), countries
like Mozambique and Angola did not manage to reduce their number
of undernourished significantly, despite the reduction of prevalence
of undernourishment. This underscores the role of high population
growth in curbing reductions in the number of undernourished.
| Population, per
capita dietary energy supply and prevalence of undernourishment
in developing countries and countries in transition |
| Region/sub region/country
|
Total population |
Per capita dietary energy supply |
Number of people undernourished |
Proportion of undernourished in total population |
| |
1990-92 |
1997-99 |
1990 - 92
|
1997 - 99
|
1990 - 92
|
1997- 99
|
1990 - 92
|
1997 - 99
|
| |
(millions) |
(kcal/day) |
(millions) |
(percentage) |
| DEVELOPING WORLD
|
4 050.0
|
4 565.5
|
2 540 |
2 680 |
816.3 |
777.2 |
20 |
17 |
| ASIA AND THE PACIFIC
|
2 812.1
|
3 119.8
|
2 530 |
2 710 |
564.8
|
497.1
|
20 |
16 |
| EAST ASIA |
1 241.1
|
1 330.9
|
2 720 |
3 020 |
197.6
|
126.9
|
16 |
10 |
| China [3] * |
1 169.5 |
1 253.8 |
2 710 |
3 040 |
192.6 |
116.3 |
16 |
9 |
| Dem. People's Rep. of Korea
[5] |
20.3 |
21.9 |
2 490 |
2 080 |
3.4 |
8.8 |
17 |
40 |
| Hong Kong SAR of China
[1] |
5.8 |
6.6 |
3 230 |
3 190 |
0.1 |
0.1 |
- |
- |
| Mongolia [5]
|
2.3 |
2.5 |
2 060 |
2 000 |
0.8 |
1.0 |
34 |
42 |
| Republic of Korea
[1] |
43.3 |
46.1 |
3 000 |
3 050 |
0.8 |
0.7 |
- |
- |
| OCEANIA |
3.9 |
4.6 |
2 220 |
2 180 |
0.9 |
1.2 |
24 |
26 |
| Papua New Guinea
[4] |
3.9 |
4.6 |
2 220 |
2 180 |
0.9 |
1.2 |
24 |
26 |
| SOUTH EAST ASIA |
444.8
|
501.7
|
2 480 |
2 660 |
77.6 |
65.9 |
17 |
13 |
| Cambodia [5]
|
10.0 |
12.4 |
1 870 |
1 980 |
4.3 |
4.6 |
43 |
37 |
| Indonesia [3]
|
185.6 |
206.4 |
2 690 |
2 900 |
16.7 |
12.0 |
9 |
6 |
| Lao People's Dem. Rep. [4]
|
4.2 |
5.0 |
2 110 |
2 150 |
1.2 |
1.4 |
29 |
28 |
| Malaysia [1]
|
18.3 |
21.4 |
2 780 |
2 930 |
0.6 |
0.4 |
3 |
- |
| Myanmar [3] |
41.3 |
46.5 |
2 640 |
2 790 |
3.9 |
3.2 |
9 |
7 |
| Philippines [4]
|
62.5 |
72.7 |
2 270 |
2 330 |
16.0 |
17.2 |
26 |
24 |
| Thailand [4]
|
55.5 |
61.2 |
2 200 |
2 410 |
16.9 |
12.9 |
30 |
21 |
| Viet Nam [3]
|
67.5 |
76.1 |
2 260 |
2 500 |
18.0 |
14.2 |
27 |
19 |
| SOUTH ASIA |
1 122.4
|
1 282.6
|
2 330 |
2 400 |
288.8
|
303.0
|
26 |
24 |
| Bangladesh [4]
|
112.7 |
131.8 |
2 070 |
2 120 |
39.2 |
44.1 |
35 |
33 |
| India [4] |
861.3 |
976.3 |
2 370 |
2 430 |
214.6 |
225.3 |
25 |
23 |
| Nepal [4] |
18.6 |
22.0 |
2 380 |
2 290 |
3.5 |
5.0 |
19 |
23 |
| Pakistan [3]
|
112.5 |
133.9 |
2 330 |
2 480 |
26.5 |
24.4 |
24 |
18 |
| Sri Lanka [4]
|
17.2 |
18.6 |
2 210 |
2 350 |
5.0 |
4.3 |
29 |
23 |
| LATIN AMERICA AND CARIBBEAN
|
442.2
|
496.7
|
2 710 |
2 830 |
58.6 |
53.6 |
13 |
11 |
| NORTH AMERICA |
84.8 |
95.8 |
3 130 |
3 150 |
4.3 |
5.0 |
5 |
5 |
| Mexico [3] |
84.8 |
95.8 |
3 130 |
3 150 |
4.3 |
5.0 |
5 |
5 |
| CENTRAL AMERICA |
28.7 |
34.4 |
2 400 |
2 380 |
4.9 |
6.4 |
17 |
19 |
| Costa Rica [3]
|
3.1 |
3.8 |
2 700 |
2 770 |
0.2 |
0.2 |
6 |
5 |
| El Salvador [3]
|
5.2 |
6.0 |
2 480 |
2 490 |
0.6 |
0.7 |
12 |
12 |
| Guatemala [4]
|
9.0 |
10.8 |
2 400 |
2 230 |
1.3 |
2.3 |
14 |
22 |
| Honduras [4]
|
5.0 |
6.1 |
2 310 |
2 370 |
1.1 |
1.3 |
23 |
21 |
| Nicaragua [4]
|
3.9 |
4.8 |
2 210 |
2 240 |
1.2 |
1.4 |
30 |
29 |
| Panama [3] |
2.4 |
2.8 |
2 360 |
2 460 |
0.5 |
0.4 |
19 |
16 |
| CARIBBEAN |
28.5 |
30.9 |
2 420 |
2 320 |
7.3 |
8.8 |
26 |
28 |
| Cuba [3] |
10.7 |
11.1 |
2 880 |
2 450 |
0.5 |
1.9 |
5 |
17 |
| Dominican Republic
[4] |
7.2 |
8.1 |
2 260 |
2 320 |
1.9 |
2.0 |
27 |
25 |
| Haiti [5] |
7.0 |
7.9 |
1 800 |
1 930 |
4.5 |
4.5 |
63 |
56 |
| Jamaica [3] |
2.4 |
2.5 |
2 570 |
2 740 |
0.3 |
0.2 |
12 |
8 |
| Trinidad and Tobago
[3] |
1.2 |
1.3 |
2 670 |
2 700 |
0.1 |
0.2 |
12 |
13 |
| SOUTH AMERICA |
300.1
|
335.6
|
2 650 |
2 820 |
42.1 |
33.4 |
14 |
10 |
| Argentina [1]
|
33.0 |
36.1 |
3 000 |
3 170 |
0.7 |
0.4 |
- |
- |
| Bolivia [4] |
6.7 |
8.0 |
2 170 |
2 220 |
1.7 |
1.7 |
25 |
22 |
| Brazil [3] |
150.3 |
166.1 |
2 790 |
2 970 |
19.3 |
15.9 |
13 |
10 |
| Chile [2] |
13.3 |
14.8 |
2 610 |
2 860 |
1.1 |
0.6 |
8 |
4 |
| Colombia [3]
|
35.7 |
40.7 |
2 440 |
2 580 |
6.1 |
5.3 |
17 |
13 |
| Ecuador [3] |
10.5 |
12.2 |
2 510 |
2 700 |
0.9 |
0.6 |
8 |
5 |
| Guyana [3] |
0.7 |
0.8 |
2 390 |
2 560 |
0.1 |
0.1 |
19 |
14 |
| Paraguay [3]
|
4.3 |
5.2 |
2 390 |
2 570 |
0.8 |
0.7 |
18 |
13 |
| Peru [3] |
22.0 |
24.8 |
1 980 |
2 550 |
8.9 |
3.1 |
41 |
13 |
| Suriname [3]
|
0.4 |
0.4 |
2 570 |
2 610 |
0.0 |
0.0 |
12 |
11 |
| Uruguay [2] |
3.1 |
3.3 |
2 670 |
2 840 |
0.2 |
0.1 |
6 |
3 |
| Venezuela [4]
|
20.0 |
23.2 |
2 470 |
2 280 |
2.3 |
4.8 |
11 |
21 |
| NEAR EAST AND NORTH AFRICA
|
321.3
|
376.7
|
3 010 |
3 010 |
25.1 |
32.5 |
8 |
9 |
| NEAR EAST |
200.6
|
238.8
|
2 950 |
2 910 |
19.7 |
26.5 |
10 |
11 |
| Afghanistan [5]
|
14.6 |
20.8 |
1 720 |
1 800 |
9.3 |
12.1 |
64 |
58 |
| Iran, Islamic Rep.
[3] |
59.9 |
68.1 |
2 900 |
2 930 |
2.7 |
3.5 |
4 |
5 |
| Iraq [3] |
17.8 |
21.8 |
2 650 |
2 420 |
1.2 |
3.0 |
7 |
14 |
| Jordan [3] |
3.4 |
4.7 |
2 860 |
2 810 |
0.1 |
0.2 |
3 |
5 |
| Kuwait [2] |
2.1 |
1.8 |
2 360 |
3 140 |
0.5 |
0.1 |
23 |
4 |
| Lebanon [1] |
2.8 |
3.4 |
3 210 |
3 230 |
0.1 |
0.1 |
- |
- |
| Saudi Arabia [1]
|
15.8 |
18.9 |
3 000 |
2 960 |
0.3 |
0.4 |
- |
- |
| SyrianArabRepublic
[1] |
12.8 |
15.4 |
3 220 |
3 330 |
0.2 |
0.2 |
- |
- |
| Turkey [1] |
57.2 |
64.6 |
3 530 |
3 490 |
0.9 |
1.2 |
- |
- |
| United Arab Emirates
[1] |
2.1 |
2.5 |
3 030 |
3 170 |
0.1 |
0.1 |
3 |
- |
| Yemen [4] |
12.2 |
16.9 |
2 020 |
2 040 |
4.4 |
5.7 |
36 |
34 |
| NORTH AFRICA |
120.7
|
137.9
|
3 120 |
3 180 |
5.4 |
6.1 |
4 |
4 |
| Algeria [3] |
25.4 |
29.2 |
2 940 |
2 930 |
1.3 |
1.7 |
5 |
6 |
| Egypt [2] |
57.4 |
65.5 |
3 200 |
3 320 |
2.6 |
2.4 |
5 |
4 |
| Libyan Arab Jamahiriya [1]
|
4.4 |
5.1 |
3 250 |
3 290 |
0.0 |
0.0 |
- |
- |
| Morocco [3] |
25.1 |
28.8 |
3 070 |
3 030 |
1.4 |
1.8 |
5 |
6 |
| Tunisia [1] |
8.3 |
9.3 |
3 180 |
3 340 |
0.1 |
0.0 |
- |
- |
| SUB-SAHARAN AFRICA |
474.5
|
572.4
|
2 120 |
2 190 |
167.7
|
194.0
|
35 |
34 |
| CENTRAL AFRICA |
62.8 |
77.6 |
2 090 |
1 890 |
22.9 |
39.7 |
36 |
51 |
| Cameroon [4]
|
11.9 |
14.2 |
2 190 |
2 260 |
3.4 |
3.6 |
29 |
25 |
| Central African Republic
[5] |
3.0 |
3.6 |
1 920 |
1 970 |
1.4 |
1.5 |
46 |
43 |
| Chad [4] |
6.0 |
7.4 |
1 790 |
2 140 |
3.5 |
2.5 |
58 |
34 |
| Congo [4] |
2.3 |
2.8 |
2 120 |
2 170 |
0.8 |
0.9 |
35 |
32 |
| Dem. Rep. of the Congo
[5] |
38.5 |
48.4 |
2 110 |
1 710 |
13.7 |
31.0 |
35 |
64 |
| Gabon [3] |
1.0 |
1.2 |
2 450 |
2 520 |
0.1 |
0.1 |
11 |
9 |
| EAST AFRICA |
166.1
|
198.6
|
1 940 |
1 960 |
73.2 |
85.5 |
44 |
43 |
| Burundi [5] |
5.7 |
6.2 |
1 890 |
1 660 |
2.8 |
4.1 |
48 |
66 |
| Eritrea [5] |
n.a. |
3.4 |
n.a. |
1 710 |
n.a. |
2.0 |
n.a. |
57 |
| Ethiopia [5]
|
n.a. |
59.9 |
n.a. |
1 810 |
n.a. |
29.6 |
n.a. |
49 |
| Kenya [5] |
24.3 |
29.4 |
1 880 |
1 930 |
11.5 |
13.4 |
47 |
46 |
| Rwanda [5] |
6.4 |
6.4 |
2 110 |
2 020 |
2.2 |
2.6 |
34 |
40 |
| Somalia [5] |
7.2 |
8.1 |
1 660 |
1 550 |
4.8 |
6.0 |
67 |
75 |
| Sudan [4] |
25.4 |
29.8 |
2 170 |
2 370 |
7.9 |
6.3 |
31 |
21 |
| Uganda [4] |
17.8 |
22.0 |
2 280 |
2 190 |
4.2 |
6.2 |
24 |
28 |
| United Rep. of Tanzania
[5] |
27.0 |
33.5 |
2 100 |
1 930 |
9.1 |
15.5 |
34 |
46 |
| SOUTHERN AFRICA |
71.0 |
85.1 |
1 940 |
2 020 |
34.1 |
36.7 |
48 |
43 |
| Angola [5] |
9.9 |
12.4 |
1 740 |
1 880 |
6.0 |
6.3 |
61 |
51 |
| Botswana [4]
|
1.3 |
1.5 |
2 380 |
2 280 |
0.2 |
0.3 |
17 |
23 |
| Lesotho [4] |
1.7 |
2.0 |
2 240 |
2 310 |
0.5 |
0.5 |
28 |
25 |
| Madagascar [5]
|
12.3 |
15.1 |
2 080 |
2 000 |
4.3 |
6.1 |
35 |
40 |
| Malawi [5] |
9.6 |
10.7 |
1 880 |
2 120 |
4.8 |
3.8 |
49 |
35 |
| Mauritius [3]
|
1.1 |
1.1 |
2 890 |
2 950 |
0.1 |
0.1 |
6 |
6 |
| Mozambique [5]
|
14.1 |
17.6 |
1 710 |
1 920 |
9.6 |
9.5 |
69 |
54 |
| Namibia [4] |
1.4 |
1.7 |
2 130 |
2 090 |
0.4 |
0.6 |
30 |
33 |
| Swaziland [3]
|
0.8 |
0.9 |
2 610 |
2 550 |
0.1 |
0.1 |
10 |
12 |
| Zambia [5] |
8.3 |
9.9 |
2 000 |
1 940 |
3.6 |
4.7 |
43 |
47 |
| Zimbabwe [5]
|
10.5 |
12.2 |
2 010 |
2 080 |
4.6 |
4.8 |
43 |
39 |
| WEST AFRICA |
174.7
|
211.0
|
2 380 |
2 590 |
37.6 |
32.1 |
21 |
15 |
| Benin [3] |
4.8 |
6.0 |
2 360 |
2 500 |
0.9 |
0.9 |
19 |
15 |
| Burkina Faso [4]
|
9.3 |
11.0 |
2 160 |
2 290 |
2.8 |
2.6 |
31 |
24 |
| Côte d'Ivoire [3]
|
13.0 |
15.4 |
2 440 |
2 570 |
2.5 |
2.4 |
19 |
16 |
| Gambia [3] |
1.0 |
1.2 |
2 440 |
2 570 |
0.2 |
0.2 |
19 |
15 |
| Ghana [3] |
15.6 |
18.5 |
2 110 |
2 550 |
5.4 |
2.7 |
35 |
15 |
| Guinea [4] |
6.4 |
7.9 |
2 080 |
2 200 |
2.6 |
2.7 |
40 |
34 |
| Liberia [5] |
2.1 |
2.5 |
2 140 |
2 080 |
0.8 |
1.0 |
37 |
42 |
| Mali [4] |
9.0 |
10.7 |
2 300 |
2 240 |
2.2 |
3.0 |
25 |
28 |
| Mauritania [3]
|
2.0 |
2.5 |
2 600 |
2 690 |
0.3 |
0.3 |
14 |
11 |
| Niger [5] |
8.0 |
10.1 |
2 000 |
2 010 |
3.3 |
4.2 |
42 |
41 |
| Nigeria [3] |
88.5 |
107.9 |
2 530 |
2 810 |
12.0 |
7.6 |
14 |
7 |
| Senegal [4] |
7.5 |
9.0 |
2 290 |
2 280 |
1.7 |
2.1 |
23 |
24 |
| Sierra Leone [5]
|
4.1 |
4.2 |
2 000 |
2 080 |
1.9 |
1.7 |
46 |
41 |
| Togo [3] |
3.5 |
4.2 |
2 270 |
2 510 |
0.9 |
0.7 |
27 |
17 |
| COUNTRIES IN TRANSITION
|
n.a. |
413.2
|
n.a. |
2 910 |
n.a. |
26.5 |
n.a. |
6 |
| COMMONWEALTH OF INDEPENDENT
STATES |
n.a. |
284.5
|
n.a. |
2 790 |
n.a. |
22.7 |
n.a. |
8 |
| Armenia [5] |
n.a. |
3.8 |
n.a. |
2 160 |
n.a. |
1.3 |
n.a. |
35 |
| Azerbaijan [5]
|
n.a. |
7.9 |
n.a. |
2 130 |
n.a. |
2.9 |
n.a. |
37 |
| Belarus [1] |
n.a. |
10.3 |
n.a. |
3 210 |
n.a. |
0.1 |
n.a. |
- |
| Georgia [3] |
n.a. |
5.3 |
n.a. |
2 400 |
n.a. |
1.0 |
n.a. |
18 |
| Kazakhstan [3]
|
n.a. |
16.3 |
n.a. |
2 610 |
n.a. |
1.7 |
n.a. |
11 |
| Kyrgyzstan [3]
|
n.a. |
4.8 |
n.a. |
2 730 |
n.a. |
0.5 |
n.a. |
10 |
| Republic of Moldova [3]
|
n.a. |
4.3 |
n.a. |
2 720 |
n.a. |
0.4 |
n.a. |
10 |
| Russian Federation
[3] |
n.a. |
146.8 |
n.a. |
2 860 |
n.a. |
8.1 |
n.a. |
6 |
| Tajikistan [5]
|
n.a. |
6.0 |
n.a. |
1 980 |
n.a. |
2.8 |
n.a. |
47 |
| Turkmenistan [3]
|
n.a. |
4.5 |
n.a. |
2 660 |
n.a. |
0.4 |
n.a. |
9 |
| Ukraine [3] |
n.a. |
50.5 |
n.a. |
2 830 |
n.a. |
2.6 |
n.a. |
5 |
| Uzbekistan [2]
|
n.a. |
24.1 |
n.a. |
2 910 |
n.a. |
0.9 |
n.a. |
4 |
| BALTIC STATES |
n.a. |
7.6 |
n.a. |
3 000 |
n.a. |
0.3 |
n.a. |
3 |
| Estonia [2] |
n.a. |
1.4 |
n.a. |
3 080 |
n.a. |
0.1 |
n.a. |
4 |
| Latvia [2] |
n.a. |
2.5 |
n.a. |
2 930 |
n.a. |
0.1 |
n.a. |
4 |
| Lithuania [2]
|
n.a. |
3.7 |
n.a. |
3 010 |
n.a. |
0.1 |
n.a. |
3 |
| EASTERN EUROPE |
n.a. |
121.1
|
n.a. |
3 160 |
n.a. |
3.6 |
n.a. |
3 |
| Albania [3] |
3.3 |
3.1 |
2 550 |
2 680 |
0.5 |
0.3 |
14 |
10 |
| Bosnia and Herzegovina
[2] |
n.a. |
3.7 |
n.a. |
2 930 |
n.a. |
0.2 |
n.a. |
4 |
| Bulgaria [3]
|
8.7 |
8.1 |
3 290 |
2 800 |
0.2 |
0.9 |
3 |
11 |
| Croatia [3] |
n.a. |
4.7 |
n.a. |
2 540 |
n.a. |
0.7 |
n.a. |
15 |
| CzechRepublic
[1] |
n.a. |
10.3 |
n.a. |
3 240 |
n.a. |
0.1 |
n.a. |
- |
| Hungary [1] |
10.3 |
10.1 |
3 620 |
3 410 |
0.0 |
0.1 |
- |
- |
| TFYR Macedonia
[3] |
n.a. |
2.0 |
n.a. |
2 860 |
n.a. |
0.1 |
n.a. |
5 |
| Poland [1] |
38.2 |
38.6 |
3 330 |
3 340 |
0.3 |
0.3 |
- |
- |
| Romania [1] |
23.1 |
22.5 |
3 020 |
3 260 |
0.7 |
0.3 |
3 |
- |
| Slovakia [1]
|
n.a. |
5.4 |
n.a. |
3 080 |
n.a. |
0.1 |
n.a. |
- |
| Slovenia [1]
|
n.a. |
2.0 |
n.a. |
3 020 |
n.a. |
0.0 |
n.a. |
- |
| Yugoslavia [3] **
|
n.a. |
10.6 |
n.a. |
2 910 |
n.a. |
0.5 |
n.a. |
5 |
|
Notes: The figures in parentheses refer to the prevalence
category based on the proportion of population undernourished
in 1997-99:
[1] <2.5% undernourished.
[2] 2.5-4% undernourished.
[3] 5-19% undernourished.
[4] 20-34% undernourished.
[5] 35% or more undernourished.
Key:
n.a. not available.
- prevalence <2.5%.
* Including Taiwan Province of China.
** Serbia and Montenegro.
Sources:
total population: UN World Population Prospects, 2000 revision;
dietary energy supply and undernourished in total population:
FAO estimates.
The Table does not include countries for which there were
insufficient data.
|
| Growth of population,
per capita dietary energy supply, and food and agricultural
production for developing countries in the 1990s, classified
by change in number of undernourished |
|
Region/sub region/country |
Average annual growth rate,
1990-92 to 1997-99
(percentage) |
| Total population
|
Per capita
dietary energy supply |
Per capita
food production |
Per capita
agricultural production in total population |
| INCREASE
|
| ASIA AND THE
PACIFIC
|
| Bangladesh |
2.2 |
0.3 |
0.5 |
0.6 |
| Cambodia |
3.1 |
0.8 |
2.1 |
2.0 |
| Dem. People's Rep. of Korea
|
1.1 |
- 2.5 |
- 4.4 |
- 4.1 |
| India |
1.8 |
0.4 |
1.1 |
1.0 |
| Lao People's Dem. Rep. |
2.5 |
0.2 |
1.5 |
1.0 |
| Mongolia |
1.3 |
- 0.4 |
- 2.8 |
- 2.9 |
| Nepal |
2.4 |
- 0.5 |
| |