Table 1 - Information Available on Total Refugee/Displaced Populations (as of February 1996)
Table 2 - Summary of Origin and Location of Major Populations of Refugees, Returnees and Displaced People in Africa February 1996 - RNIS #14 (population estimates in thousands)
Figure 1 - Refugee and Displaced Populations
Figure 2 - Trends in Total Refugee/Displaced Populations and Risk Categories
Figure 3 - Trends in Population Estimates and Risk Categories in Six Countries
Annex 1 - Results of Surveys Quoted in February RNIS Report (#14) - usually children 6-59 months
Annex 2 - Seasonality in Sub-Saharan Africa
|
Situation |
Population Numbers |
Nutr Stat* |
Comments |
||||||
|
Condition |
Total |
Change from Dec. 95 |
|||||||
|
I: High Prev |
IIa: High Risk |
IIb: Mod Risk |
IIc: Not Critical |
III: Unknown |
|||||
|
Sub-Saharan Africa |
|||||||||
|
1. Angola (id/wa) |
10'400 |
|
1'389'600 |
|
|
1'400'000 |
0 |
imp |
Pockets of malnutrition are likely to exist in inaccessible areas. |
|
2. Benin/Ghana/Togo Region |
|
|
|
110'000 |
|
110'000 |
-14'000 |
stat |
Decrease in total due to repatriation. |
|
3. Burkina Faso/Mauritania |
|
|
|
68'000 |
|
68'000 |
0 |
imp |
Nutritional status probably improving due to improved ration. |
|
4. Burundi/Rwanda Region |
|
308'000 |
186'000 |
2'380'000 |
|
2'874'000 |
-203'400 |
stat |
Decrease in total due to decreased estimated number of displaced in
Burundi. |
|
5. Central African Republic |
|
|
|
38'800 |
|
38'800 |
0 |
stat |
|
|
6. Djibouti |
|
|
|
25'000 |
|
25'000 |
0 |
stat |
Increase due to a revised number of Somali refugees. |
|
7. Ethiopia |
81'000 |
|
173'000 |
134'000 |
|
388'000 |
0 |
stat |
|
|
8. Kenya |
|
|
|
173'000 |
|
173'000 |
-13'000 |
det |
Decreased number due to continuing repatriation of Somali refugees. |
|
9. Liberia/Sierra Leone/Guinea/Cote d'Ivoire |
57'400 |
672'600 |
1'705'000 |
1'105'000 |
|
3'540'000 |
0 |
stat/det |
Pockets of malnutrition may exist in Liberia in inaccessible areas;
deteriorating security and nutritional situation in Sierra Leone. |
|
10. Mauritania/Senegal |
|
|
|
52'000 |
|
52'000 |
0 |
stat |
|
|
11. Mozambique Region |
3'500 |
246'500 |
|
950'000 |
|
1'200'000 |
410'000 |
det |
Displaced in Mutarara at high risk due to pellagra. More vulnerable
people due to lower than expected harvests, and subsequent lack of food
stocks. |
|
12. Somalia |
26'000 |
814'000 |
|
|
|
840'000 |
240'000 |
det |
Increased number of vulnerable people due to continued insecurity. |
|
13. Sudan |
|
|
|
|
2'300'000 |
2'300'000 |
900'000 |
det |
Increased total due to increased number of those needing aid in S
Sudan. |
|
14. Uganda |
|
|
|
222'000 |
|
222'000 |
-6'800 |
imp |
Reduced estimated numbers due to census in October. |
|
15. Zaire |
262'000 |
|
|
443'000 |
|
705'000 |
0 |
stat |
Those in Mwene Ditu at high risk. |
|
16. Zambia |
|
|
|
26'000 |
|
26'000 |
13'300 |
stat |
The increased number is due to an update estimate, not an influx of
refugees. |
|
Total (Sub-Saharan Africa) |
440'300 |
2'041'100 |
3'453'600 |
5'726'800 |
2'300'000 |
13'961'800 |
1'326'100 |
|
|
|
Asia (Selected Situations) |
|||||||||
|
17. Afghanistan Region |
|
370'000 |
|
2'730'000 |
|
3'100'000 |
|
stat |
Those in Kabul considered to be at high risk. |
|
18. Bhutanese Refugees in Nepal |
|
|
|
90'000 |
|
90'000 |
0 |
imp |
Low levels of micronutrient deficiencies continue to be reported. |
|
19. Bangladesh |
50'000 |
|
|
|
|
50'000 |
0 |
stat |
At high risk due to elevated prevalence of riboflavin deficiency. |
|
20. Southern Iraq |
|
192'000 |
|
28'000 |
|
220'000 |
0 |
det |
Those in Marshes considered at nigh risk. |
I. High Prev - Those reported with high prevalences of malnutrition and/or micronutrient deficiency diseases and sharply elevated mortality rates (at least 3x normal).IIa: High Risk - At high nutritional risk, limited data available, population likely to contain pockets of malnutrition.
IIb: Mod Risk - 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).
|
From |
To/In |
|||||||||||||||||||||||
|
Angola |
Benin |
Burkina Faso |
Burundi |
Cote d'Ivoire |
Eritrea |
Ethiopia |
Ghana |
Guinea |
Kenya |
Liberia |
Mali |
Mauritania |
Mozambique |
Rwanda |
Sierra Leone |
Somalia |
Sudan |
Tanzania |
Togo |
Uganda |
Zaire |
Zambia |
TOTAL |
|
|
Angola |
1'400 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
50 |
26 |
1'476 |
|
Benin |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0 |
|
Burkina Faso |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0 |
|
Burundi |
|
|
|
170 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
86 |
|
|
106 |
|
362 |
|
Cote d'Ivoire |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0 |
|
Eritrea |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
160 |
|
|
|
|
|
160 |
|
Ethiopia |
|
|
|
|
|
|
11 |
|
|
6 |
|
|
|
|
|
|
|
40 |
|
|
|
|
|
57 |
|
Ghana |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6 |
|
|
|
6 |
|
Guinea |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0 |
|
Kenya |
|
|
|
|
|
|
24 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
24 |
|
Liberia |
|
|
|
|
305 |
|
|
14 |
477 |
|
1'700 |
|
|
|
|
|
|
|
|
|
|
|
|
2'496 |
|
Mali |
|
|
33 |
|
|
|
|
|
|
|
|
|
35 |
|
|
|
|
|
|
|
|
|
|
68 |
|
Mauritania |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0 |
|
Mozambique |
|
|
|
|
|
|
|
|
|
|
|
|
|
1'200 |
|
|
|
|
|
|
|
|
|
1'200 |
|
Rwanda |
|
|
|
105 |
|
|
|
|
|
|
|
|
|
|
737 |
|
|
|
567 |
|
6 |
1'090 |
|
2'505 |
|
Sierra Leone |
|
|
|
|
|
|
|
|
128 |
|
100 |
|
|
|
|
730 |
|
|
|
|
|
|
|
958 |
|
Somalia |
|
|
|
|
|
|
275 |
|
|
126 |
|
|
|
|
|
|
840 |
|
|
|
|
|
|
1'241 |
|
Sudan |
|
|
|
|
|
|
60 |
|
|
41 |
|
|
|
|
|
|
|
2'100 |
|
|
210 |
50 |
|
2'461 |
|
Tanzania |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0 |
|
Togo |
|
20 |
|
|
|
|
|
71 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
91 |
|
Uganda |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
|
14 |
|
Zaire |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
600 |
7 |
619 |
|
Zambia |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0 |
|
TOTAL |
1'400 |
20 |
33 |
275 |
305 |
0 |
370 |
85 |
605 |
173 |
1'800 |
0 |
35 |
1'200 |
737 |
730 |
840 |
2'300 |
653 |
6 |
228 |
1'910 |
33 |
13'738 |
(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 (total = 9.5 million).
(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).
Figure 1 - Refugee and Displaced Populations - Selected Areas in Africa (February 1996)

Figure 2 - Trends in Total Refugee/Displaced Populations - By Risk Categories Africa: December 1993-December 1995

Angola

Burundi/Rwanda Region

Liberia

Mozambique

Somalia

Sudan

|
Survey Area |
Survey Conducted by |
Dale |
% Wasted* |
% Severely Wasted* |
Oedema (%) |
Crude Mortality (/10,000/day) |
Under 5 Mortality (/10,000/day) |
Measles Immunisation Coverage |
Other Data |
|
|
1. Angola |
||||||||||
|
|
a. Benguela City |
MSF-F |
Nov. 95 |
4.4 |
1.6 |
0.0 |
|
|
44.4 |
|
|
b. Calulu, Kwanza Sul Province |
WV |
|
4.8** |
3.0** |
|
|
|
|
|
|
|
c Dange-Ya-Mena, Kwanza Norte |
WV |
|
4.9** |
2.0** |
|
|
|
|
|
|
|
d. Galungo Alto |
WV |
Oct. 95 |
20.4** |
12** |
10.1 |
|
|
47.6 |
|
|
|
e. Mavinga, Cuando Cubango |
AICF |
Nov. 95 |
7.6 |
1.0 |
0.0 |
0.43 |
1.6 |
|
|
|
|
f. Balombo, Benguela Province |
CRS |
|
14 (MUAC) |
4.3 (MUAC) |
|
|
|
|
|
|
|
g. M'banza Congo Town |
MSF-H |
Jan 96 |
14.0** |
3.4** |
|
|
|
|
|
|
|
4. Burundi/Rwanda Region |
||||||||||
|
|
a. Muhanga Camp |
MSF-H |
Nov. 95 |
16.1** |
50** |
|
|
|
|
|
|
b. Gasenyi Camp |
MSF-H |
Nov. 95 |
15.0** |
3.9** |
|
|
|
|
|
|
|
c. Gohombo Camp |
MSF-H |
Nov. 95 |
18.2** |
3.0** |
|
|
|
|
|
|
|
d. Buraniro Camp |
MSF-H |
Nov. 95 |
17.2** |
4.1** |
|
|
|
|
|
|
|
9. Liberia Region |
||||||||||
|
|
a. Putu, Grand Gedeh County (Liberia) |
WV |
Dec. 95 |
31.7 (<80%)** |
5.7 (<70%)** |
|
|
|
|
|
|
b. Gondama (Sierra Leone) |
AICF |
Oct. 95 |
28.1 |
5.7 |
1.9 |
2.7 |
4.0 |
97.7 |
|
|
|
c. Bonthe Islands (Sierra Leone) |
MSF-B |
Nov. 95 |
12.9 |
23 |
2.4 |
2.7 |
|
24.0 |
|
|
|
d. Macenta (Guinea) |
AICF |
Nov. 95 |
5.7 |
0.9 |
0.3 |
|
|
|
|
|
|
12. Somalia |
|
|
|
|
|
|
|
|
|
|
|
|
a. Bardera, Gedo Region |
AICF |
Nov. 95 |
19.3 |
3.6 |
28 |
|
|
68.0 |
|
|
13. Sudan |
||||||||||
|
|
a. Mogale Camp (S Sudan) |
AICF |
Nov. 95 |
16.0** |
1.3** |
|
|
|
|
|
|
b. Um Rakuba |
SRRA |
Sep. 95 |
7.0 (<80%) |
|
|
|
|
|
|
|
|
c. Safawa |
SRRA |
Sep. 95 |
6.4 (<80%) |
|
|
|
|
|
|
|
|
d. Wad Sherife |
SRRA |
Sep. 95 |
13.0 (<80%) |
|
|
|
|
|
|
|
|
e. K Girba |
SRRA |
Sep. 95 |
10.4 (<80%) |
|
|
|
|
|
|
|
|
f. Shagarab Camps |
SRRA |
Sep. 95 |
15.3 (<80%) |
|
|
|
|
|
|
|
|
14 Uganda |
||||||||||
|
|
a. Koboko Camp |
MSF-H |
Jan. 96 |
11.2** |
1.1** |
|
|
|
|
|
|
15. Zaire |
||||||||||
|
|
a. Luputu, Kasai |
MSF-B |
Nov. 95 |
9.9 |
1.3 |
1.6 |
|
|
|
|
|
b. Gandajika, Kasai |
MSF-B |
Nov. 95 |
6.8 |
0.6 |
4.0 |
|
|
|
|
|
|
c. Likasi, Kasai |
MSF-B |
Dec. 95 |
5.3 |
0.3 |
0.0 |
|
|
|
|
|
|
d. Mwene Ditu (Resident) |
MSF-B |
Oct. 95 |
17.8** |
4.8** |
|
|
|
|
|
|
|
e. Mwene Ditu (Displaced) |
MSF-B |
Oct. 95 |
42.9** |
9.3** |
|
|
|
|
|
|
|
17. Afghanistan Region |
||||||||||
|
|
a. Kabul |
AICF |
Nov. 95 |
6.6 |
1.2 |
0.6 |
|
|
|
15.6% Women had BMI <18.5 |
|
b. New Hadda Camp |
MSF-H |
Dec. 95 |
4.0** |
0.6** |
0.1 |
0.2 |
|
|
|
|
|
18. Bhutanese Refugees in Nepal |
|
|
|
|
|
|
|
|
|
|
|
|
a. All 8 Camps |
SCF |
Nov. 95 |
1.3 (<80%) |
|
|
|
|
|
Incidence of micronutrient deficiencies decreasing |
|
19. Refugees in Bangladesh |
|
|
|
|
|
|
|
|
|
|
|
|
a. All camps |
UNHCR |
1995 |
9.5 |
0.2 |
|
0.25 |
0.58 |
|
High incidence of angular stomatisis. |
* wt/ht unless specified; cut-off = n.s. means not specified but usually -2SD wt/ht for wasting and -3SD wt/ht for severe wasting**Oedema is included in this figure.
NOTE: see box on pg 4 for guidance in interpretation of indicators.
SRRA = Sudanese Relief and Rehabilitation Association
NOTES on Annex 1
1. Angola
a. This survey was conducted by MSF-France in Benguela City in November 1995. 976 children 6-59 months old were included in the survey. Wasting was defined as wt/ht <-2z scores and severe wasting was <-3z scores. No cases of oedema were seen.4. Burundi/Rwanda Regionb. This survey was conducted by World Vision in Calulu, Kwanza Sul province. The information was obtained from a Humanitarian Assistance in Angola update, and no further details are currently available.
c. This survey was conducted by World Vision in Kwanza Norte province. The information was obtained from a Humanitarian Assistance in Angola update, and no further details are currently available.
d. This survey was carried out by World Vision from 23-27 October 1995 in Golungo Alto, Kwanza Norte province. This was a two stage cluster sample and children 6-59 months were included. Wasting was defined as wt/ht <-2 sd of the median weight for height and/or oedema, and severe wasting <-3 sd of the median weight/height and/or oedema. Oedema was also measured separately.
e. This survey was carried out by AICF in Mavinga, Cuando Cubango province from 26 October-6 November 1995. This was a cluster sample survey and 780 children 6-59 months (65-110 cms height used if age unknown). Wasting was defined as wt/ht <-2 sd and severe wasting was <-3 sd. Oedema was measured separately.
f. This survey was conducted by Catholic Relief Services (CRS) in Balumbo, Benguela Province. Wasting was measured by MUAC. This information was obtained from a Humanitarian Assistance in Angola update, and no further details are currently available.
g. This survey was carried out by MSF-Holland from 30-31 January 1996 in M'banza, Angola. It was a cluster sample survey, and 506 children were included in the survey. Wasting is defined as wt/ht <-2 sd and/or oedema and severe wasting as <-3 sd and/or oedema.
a-d. These surveys were conducted by MSF-Holland at the end of November 1995. Wasting is defined as wt/ht <-2 sd and/or oedema and severe wasting as <-3 sd and/or oedema.9. Liberia/Sierra Leone Region
a. This was a rapid nutrition assessment conducted in December 1995 by World Vision. Children 6-59 months old were included in the survey; where age was not known, the upper limit was 115 cms. A random sampling method was used and 265 children were weighed and measured. Wasting was defined as wt/ht <-2 sd of the median weight for height and/or oedema, and severe wasting <-3 sd of the median weight/height and/or oedema.12. Somaliab. This survey was carried out by Action Internationale Contre la Faim (AICF) from 10-13 October 1995. This was a 30x30 cluster survey including 917 children 6-59 months old. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. Oedema was measured separately.
c. This survey was conducted by MSF-Belgium from 24-26 October 1995. This was a cluster survey that included 796 children 6-59 months old. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. Oedema was measured separately.
d. This survey was conducted by Action Internationale Contre la Faim (AICF) from 18-25 November 1995. This was a two stage cluster sample survey that included 935 children 6-59 months old. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. Oedema was measured separately.
a. This survey was conducted in Bardera, Gedo Region in November 1995. It was a cross sectional survey using random, two stage cluster sampling. 908 children 6-59 months old were included in the survey. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. Oedema was measured separately.13. Sudan
a. This information comes from a draft of a nutritional survey conducted by Action Internationale Contre la Faim (AICF) from 20-22 November 1995. It was a two stage cluster sample survey. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores.14. Ugandab-f. These surveys were conducted by the Sudanese Relief and Rehabilitation Association between June and September 1995. Wasting was defined as <80% wt/ht.
a. This survey was conducted by MSF-Hoolland in January 1996. Wasting is defined as wt/ht <-2 sd and/or oedema and severe wasting as <-3 sd and/or oedema.15. Zaire
a. This survey was carried out by MSF-Belgium from 7-9 November 1995 in Luputa, Zaire. It was a cluster sample survey which included 1099 children 6-59 months old. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. Oedema was measured separately.17. Afghanistan Regionb. This survey was carried out by MSF-Belgium from 14-17 November 1995 in Gandajika, Zaire. It was a cluster sample survey which included 705 children 6-59 months old. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. Oedema was measured separately.
c. This survey was carried out by MSF-Belgium from 5-7 December 1995 in Likasi, Zaire. It was a two stage cluster sample survey which included 797 children 6-59 months old. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. No cases of oedema were seen.
d-e. This survey was conducted by MSF-Belgium from 23-26 October 1995 in Mwene Ditu, Zaire. The results are broken out by resident and displaced populations. A total of 1525 children 6-59 months old (or 65-110 cms if age was not known) were included. This was 816 resident children and 710 displaced children. Wasting was defined as wt/ht <-2 sd and/or oedema and severe wasting was <-3 sd and/or oedema.
a. This survey was conducted by Action Internationale Contre la Faim (AICF) in Kabul from 28 October - 8 November 1995. This was a two stage cluster sample survey which included 884 children 6-59 months old, or 65-110 cms if age was not known. Wasting was defined as wt/ht <-2 z scores and severe wasting <-3 z scores. Oedema was measured separately. This survey also measured 404 non-pregnant women aged 15-45 years and used a BMI of <18.5 to define wasting.18. Bhutanese Refugees in Nepalb. This survey was carried out by MSF-Holland in December 1995. Wasting was defined as wt/ht <-2 sd and/or oedema and severe wasting was <-3 sd and/or oedema.
a. This information comes from a screening exercise on children under five carried out in November 1995. Wasting was defined as wt/ht <80% of the median.19. Refugees from Rakhine State, Myanmar in Bangladesh
a. This information comes from a UNHCR health and nutrition report for the year 1995. Wasting is defined as wt/ht <-2z scores and severe wasting <-3 z scores in children under five years old.
|
Country |
Climate/Rainy Season/Harvest |
|
Angola |
Coastal area desert, SW semi-arid, rest of country: rains Sept-April |
|
Burundi |
Three crop seasons: Sept-Jan, Feb-Jun, and Jul-Aug |
|
CAR |
Rains March-Nov |
|
Djibouti |
Arid Climate |
|
Ethiopia |
Two rainy seasons February to May and June to October |
|
Kenya |
N-E is semi-arid to arid, Central and SW rains: March-May and Nov-Dec |
|
Liberia |
Rains March-Nov |
|
Mozambique |
Coast is semi-arid, rest wet-dry Harvest May |
|
Rwanda |
Rains Feb-May with Aug harvest and Sept-Nov with Jan harvest |
|
Sierra Leone |
Rains March-Oct. |
|
Somalia |
Two seasons: April to August (harvest) and October to January/February
(harvest) |
|
Sudan |
Rains April-Oct |
|
Northern |
Rains begin May/June |
|
Southern |
Rains begin March/April |
|
Togo |
Two rainy seasons in S, one in N. Harvest August |
|
Uganda |
Rains Mar-Oct |
|
Zaire |
Tropical climate. Harvest in N: November; in S January |
*SOURCES: FAO, Food Supply Situation and Crop Prospects in Sub-Saharan Africa, Special Report; No 4/5, Dec. 90 plus various FAO/WFP Crop and Food Supply Assessment Missions.