Previous Page Table of Contents Next Page


Tables and figures

Table 1: Information Available on Total Refiugee/Returnees/Displaced Populations requiring assistance (as of July 2000). Please note that these are best estimates at the time of going to press

 

Situation

Population Numbers

Nutr Stat*

 

Comments

 

Condition

Total

 

Change from Mar-00

l: V. High

ll: High

III: Mode

IV: No

V:

Risk

Risk

Risk

Critical

Unknown

Sub-Saharan Africa










1. Angola


400,000

606,100



1,006,100

0

imp.

Sit gen. improving in accesibile areas. But national level food security stil v. poor.

2. Great Lakes Region










Burund

100,000

100,000

470,000



670,000

-160,000

imp.

IDPs in Bujumbura Rural - v. high to high risk. Others areas moderate. Drought-affected not shown

Rwanda



40,000

29,000


69,000

-583,000

imp.

IDPs remain at moderate risk. Refugees not critical. Drought-affected not shown

Congo-Brazzaville


40,000

180,000


13,000

233,000

-205,000

imp.

IDPs at mod. risk. Refs. from DRC al high risk. Other refs. Unknown

E Dem Rep of Congo

400,000

800,000

309,000

155,000

95,500

1,759,500

341,500

stat

IDPs at v. high risk in worst war-affected areas. Others high to moderate. Refs. no change

Tanzania


440,000




440,000

-25,000

det.

Refs. at high risk due to cut in rations. Drought-affected not shown

3. Eritrea


500,000

500,000



1,000,000

628,000

det.

War-affected IDPs at high to moderate risk due to huge numbers and drought

4. Ethiopia


100,000

230,000

250,000


560,000

-20,000

det.

War - IDPs at high to mod. risk. Refs. not critical. V. severe situ. of drought-affected population not shown.

5. Kenya



215,000



215,000

0

det.

Refs. at heightened risk due to drought. V. severe situ. of drought-affected population not shown

6. Liberia/Sierra Leone Region










Liberia



36,000

49,000


87,000

-9,000

stat

Refs. in upper Lola at higher risk due to insecurity.

Sierra Leone

50,000

100,000

500,000


506,000

1,156,000

399,000

det.

IDP nos. v. imprecise. Those in Govt. areas v. high/high to mod. risk, others unknown. Refs. unknown.

Guinea-Conakry/Cote d'Ivoire




538,000


538,000

-52,000

stat.

Refs. not critical.

7. Somalia

40,000

73000

237,000



350,000

0

imp.

IDPs in Mogadishu at moderate risk. Others at high to very high risk.

8. S. Sudan

150,000

395,000

1,950,000

162,000


2,657,000

95,000

stat.

IDPs in Upper Nike & transition zone high/v. high risk. Others mod. New refs. high risk. Northern IDPs not shown.

9. Uganda


337,000

300,000

207,000


644,000

50,000

stat.

IDPs high to moderate risk. Refs. not critical.

10. Zambia



210,000

10,000


220,000

20,000

stat.

Refs. at mod. risk due to funding problems. IDPs not critical.

Total (Sub-Saharan Africa)

740,000

3,285,000

5,785,100

1,400,000

614,500

11,824,600

424,100













Asia Europe (Selected Situation)










11. Afghanistan Region



300,000



1,700,000

0

det.

IDPs at moderate. risk. Driought-affected people not shown. Refugees in Pakistan and Iran not critical

12. Bhutanese Refugees in Nepal




97,900


97,900

300

stat.

Refugees not critical.

13. Bangladesh




22,300


22,300

0

stat.

Refugees not critical.

14. Indonesia/E. Timor region







0



East Timor




750,000


750,000

0

imp.

Refugees not critical.

West Timor




120,000


120,000

-33,000

imp.

Refugees not critical.

15. Balkans Region




650,000

220,000

1,070,000

-30,000

imp.

Refugees to Kosovo not critical. IDPs in Serbia and Macedonia unknown

I: High Prev - Those reported with high prevalences of malnutrition (where available>20% wasting, and/or micronutrient deficiency diseases and sharply elevated mortality (x3 norma)

II: High Risk - Population at high risk, limited date available, population likely to contain pockets of malnutrition (e.g. wasting)

IIb: Mod Risk - Population at moderate risk, may be data available, pockets of malnutrition may exist:

IIc: Not Critical - Probably not at heightened nutritional risk.

III: Unknown - No information on nutritional status available.

* Indicates status of nutritional situation. Imp=improving; det=deteriorating; stat=static (i.e. no change)

Table 2: Summary of Origin and Location of Major Populations of Refugees, Returnees and Displaced People in Africa Requiring Assistance

July 2000 - RNIS #31 (population estimates in thousands)

Please note these are best estimates at time of going to press

From

To/In

Angola

Burundi

Congo /Brazzaville

Cote d'Ivoire

Dem Rep Congo

Eritrea

Ethiopia

Guinea Bissau

Guinea Conakry

Kenya

Liberia

Rwanda

Sierra Leone

Somalia

Sudan

Tanzania

Uganda

Zambia

Total

Angola

1061


8


155













180

1,404

Burundi


670



19







1




340

5


1,035

Congo/Brazzaville



180


9














189

Cote d'Ivoire



















0

Dem Rep Congo



40


1,500







28




89

12

30

1,699

Eritrea






1,000









245




1,245

Ethiopia







330



5





12




347

Guinea Bissau









5










5

Guinea Conakry



















0

Kenya







5












5

Liberia




86





120




6






212

Rwanda



5


1







40




8

12


66

Sierra Leone




2





325


87


1,150






1,564

Somalia







185



155




350


3

5


698

Sudan





72


60



55





2400


173


2,760

Tanzania



















0

Uganda





3












637


640

Zambia


















10

10

TOTAL

1061

670

233

88

1759

1000

580

0

450

215

87

69

1156

350

2657

440

844

220

11879


NOTES:

(1) This chart is intended to include major population groups in Africa (i.e. over 100,000 people affected from country of origin).


(2) Boxes on the diagonal (shaded) show internally displaced populations and returnees (total = 9,328,000).


(3) Numbers referred to in the text are usually by the country where the population is located (i.e. column totals).


For the regional situations of Burundi/Rwanda and Liberia/Sierra Leone the description is by country of origin (i.e. row totals).


The number of refugees, returnees and IDPs in Sub-Saharan Africa and their nutritional risk over time


Previous Page Top of Page Next Page