average hh size o number of individuals recorded

Flow Monitoring: Wau, Western Bahr el Ghazal 1 July - 31 December 2018

The boundaries on this map do not imply o�cial endorsement or acceptance by the Government of the Republic of South Sudan or IOM. This map is for planning purposes only. IOM cannot guarantee this map is error free and therefore accepts no liability for consequential and indirect damages arising from its use.

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IOM DISPLACEMENTTRACKING MATRIXS O U T H S U D A N

7,524

2.0 individuals

Average HH size

Individuals observed

Number of individuals recorded travelling through Wau’s long-distance bus stations

Publication: 27 Feb 2019

39%

61%

Departure Reason for movement Destination

1-7 8-14

15-20 8-1

429

-45-1

112

-1819

-25 26-1

2-8 9-15

23-29 30

-67-1

314

-2021

-27 28-3

4-10

11-17

18-24 25

-1 2-8 9-15

16-22

23-29

30-31

16-22

July August September October November December

0

50

100

150

200

250

300

350

Limited data collection possible due to access constraints

Boys Men

Girls

13%

11%

48%

27%WomenSouth Sudanese

Nationalities: 89%

Sudanese 9%Other 1%

Khartoum (Sudan)

OtherWarrap

Abyei Adm. Area

Western Bahr el Ghazal

Khartoum (Sudan)

OtherWarrap

Abyei Adm. Area

Central Equatoria

Western Bahr el Ghazal

Family related

Living conditions /Livelihood

Seasonal

Other

HealthcareReturn to habitual residence





Juba

Wau

Twic

Abye

KhartoumLegendFlow Monitoring Point

Areas of departure and destination

RoadUndetermined boundaries

Out�owIn�ow

>99% Bus <1%OtherTransportation modes

IOM’s Displacement Tracking Matrix (DTM) measures mixed migration �ows at two transportation hubs linking Wau with Juba and Abyei Administrative Area (AAA). In contrast to other Flow Monitoring Points (FMPs) in the country, DTM has observed more men and boys travelling alone as only 39 per cent were women and girls. The average household size was 2.0 individuals. This compares to 64 per cent women and girls represented in DTM's data collection in the AAA-based FMP during the same period, with an average travelling household size of 4.7 individuals. Movement was most commonly linked to family and livelihoods rather than con�ict.

Sudan

South Sudan

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Movement to and from Sudan

Short-term Long-term

42%From SSD to abroadFrom abroad to SSD

Uganda

Kenya

Sudan Sudan

Other 73%

15%

58%

12%

89%

1%

Main departure points

Main destinations

Other

Cueibet, Lakes

Rumbek Centre, Lakes

Twic, Warrap

Khartoum, Sudan

Juba, CEQ

Wau, WBeG

Abyei Area, Abyei Adm. Area

7%

2%

2%

6%

9%

16%

17%

41%

County-level

County-level

8%

4%

5%

14%

69%

Other

Abyei Area, Abyei Adm. Area

Khartoum, Sudan

Juba, CEQ

Wau, WBeG

020406080

100120140160180

Jul Aug

South Sudan to Sudan

Sep Oct Nov Dec

Sudan to South Sudan

Acc

ess

limita

tions

Top reason for movement to Sudan: Healthcare

Top reason for movement from Sudan: Livelihoods

6%

4%

3%

9%

10%

31%

37%

Main reasons for movement

Return after voluntary travel

Healthcare

Education

Other

Seasonal

Living conditions / Livelihoods

Family related

0%

10%

20%

30%

40%

50%

< 3 months 3-12 month Over 1 year orinde�nitely

Doesn't know /prefers not to answer

Unknown

Internal migration (within South Sudan): 82%

From abroad to South Sudan: 11%

From South Sudan to abroad: 8%

1,368 ind. travelled cross-border, representing 18% of all movements

Cross-border movement through Wau Methodology and LimitationsThe �ow monitoring component of DTM tracks movement on a household and individual level through key transit points. The purpose of �ow monitoring is to provide regularly updated information on the patterns and trends of population dynamics and pro�les and intentions of persons on the move irrespective of their status, through speci�c locations. Trained enumerators collect data on two types of movements: i) internal �ows within South Sudan and ii) cross-border �ows to and from neighboring countries. The data collected through Flow Monitoring Points (FMPs) allows partners to better understand population movements and inform humanitarian assistance.

IOM DTM strives to provide an as complete and accurate picture of migration trends as possible within the available humanitarian space and other structural constraints. FMPs are strategically selected following an assessment of high mobility locations to capture the most important �ows. Data remains limited to the locations of FMPs, which is especially important to take note of in the current dynamic context brought about by the signing of the peace agreement. Data collection is carried out seven days a week but ceases at night from 17:00 to 08:00.

Whilst methodologically DTM aims to capture all passing migrants through its �ow monitoring registry and obtain additional more detailed information about their journey as part of surveys conducted with a sample of those passing, the �uid movement of people in small groups at times makes it di�cult to capture the full extent of the �ow even during daytime hours. The remoteness of certain FMPs means that data uploads can be delayed because of poor connectivity. Security concerns can necessitate data being collected on paper instead of mobile applications, which can lead to delayed analysis. Security concerns can, furthermore, cause the complete closure or relocation of certain FMPs (all four Uganda-based FMPs remained open throughout the observation period). With roughly over 60 languages spoken in South Sudan, communication with respondents can be limited by linguistic abilities of local enumerators.

Though �ndings are limited to a select number of response options in the quantitative data collection tools used, IOM DTM communicates with its enumerators and updates its forms to adapt to the dynamic South Sudanese context.




average hh size o number of individuals recorded

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