population flow monitoring niger - displacement

9
POPULATION FLOW MONITORING NIGER Dashboard #19 Period: 1 — 31 January 2019 INDIVIDUALSRECORDED 2,112 AVERAGE/ DAY +38% Country of origin % Variation Niger 66 -18 pp Nigeria 30 +15 pp Libya 4 +02 pp Algeria 0,1 +0,2 pp Female Male Adults Minors 20% 63% 8% 9% INTRODUCTION: IOM works with national and local authorities and local partners to identify and understand migration movements in West and Central Africa. Flow monitoring is an activity that quantifies and qualifies flows, migrant profiles, trends and migration routes at a given point of entry, transit or exit. Since February 2016, IOM Niger has been monitoring migration flows at six points across Niger. The data collected provides an overview of migration in the region. The information is collected from primary sources. Given the immensity of the region of Agadez, a new FMP (Madama) on the Libyan border was activated in January 2019 to capture the outflows due to the proliferation of bypass roads. This new FMP complements that of Séguédine which is now only capturing incoming flows. The data collected provides an overview of migratory movements in the region. However, this monitoring of migration flows does not replace border surveillance. Similarly, the results presented in this report do not reflect the total flow of migrants through the Agadez region due to the size of the Sahara Desert, which covers more than 700,000 km 2 and has a large number of roads crisscrossing the region. In addition to the three FMPs (Dan Barto, Magaria and Tahoua) activated in August, a new FMP was also set up in Niger (Dan Issa) in September. The aim was to better understand migration routes along the southern part of Niger and to complement the existing FMPs in Arlit and Séguédine. There are now three cross border FMPs (Dan Issa, Dan Barto and Magaria) on the border between Niger and Nigeria, which stretches over 1000 km. The FMP at Tahoua was set up to understand internal movement flows as it is situated in central Niger, sharing a border with the Tillabery region in the east, Nigeria in the south and the Agadez region in the north. The new FMPs will be piloted in the coming months to understand the added value of the FMPs towards a more holistic understanding of migration trends in Niger. Based on the initial findings from the new FMPs, there may be adjustments to the new FMPs implemented based on an increased understanding of migration patterns and routes. METHODOLOGY: Flow monitoring is an investigative work that aims to highlight and increase understanding of internal, cross-border and intraregional migration. Areas of high mobility are identified across the country. DTM teams then conduct assessments at the local level to identify strategic transit points. Enumerators collect data using key informants at the flow monitoring points; they may be staff at bus stations, police or customs officials, bus or truck drivers or migrants themselves. A basic questionnaire mixed with direct observations makes it possible to collect disaggregated data by sex and nationality. In Niger, the flow monitoring points were chosen after consultation with national and local stakeholders involved in migration management, and according to the locations and characteristics of the flows transiting through the Sahara Desert. The data collection is done at times when the flows are the most frequent. LIMITS: The data used in this analysis, including the maps, is an estimate and represents only a part of the existing flows on the routes Agadez - Arlit – Assamaka; Agadez - Séguédine – Sebha; and southern routes. The spatial and temporal coverage of these surveys is partial, although the collection is done daily and during periods when flows are significant. Finally, no information is collected on existing flows outside the times covered. Vulnerability data is based on direct observations by the enumerators and should be understood only as an estimate. DEMOGRAPHICS (collected through direct observation and interviews with bus drivers and station managers) 3% ELDERLY PERSONS 5% CHILDREN UNDER 5 4% PREGNANTWOMEN 1% PERSONS WITH PHYSICAL OR MENTAL DISABILITIES VULNERABILITIES DEMOGRAPHICS ORIGIN AND INTENDED DESTINATION ORIGIN OF THE MOVEMENTS OBSERVED INTENDED DESTINATION OF THE MOVEMENTS OBSERVED MAIN NATIONALITIES OBSERVED Variations calculated based on data from the previous month TRAVELLERS’ PROFILE (collected through direct observation and interviews with bus drivers and station managers) MAIN TYPES OF MOVEMENTS OBSERVED pp: percentage point pp: percentage point +3 pp Country of destination % Variation Niger 74 -03 pp Nigeria 19 +10 pp Libya 7 -08 pp Algeria 0,1 - THIS PROJECT IS IMPLEMENTED BY IOM INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows: “Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”. THIS PROJECT IS FUNDED BY THE EUROPEAN UNION AND THE DEPARTMENT FOR INTERNATIONAL DEVELOPMENT +2 pp +1 pp +2 pp 43% 33% 24% 0% 20% 40% 60% Economic migration (+ 6 months) Short term local movement Seasonal migration (-6 months) 2% 2% 21% 3% 13% 17% 2% 14% 27% 0% 10% 20% 30% 40% 50% 60% Libya Nigeria Niger Seasonal migration (-6 months) Short term local movement Economic migration (+ 6 months) 3% 2% 19% 3% 8% 22% 4% 7% 32% 0% 20% 40% 60% 80% Libya Nigeria Niger Seasonal migration (-6 months) Short term local movement Economic migration (+ 6 months) 3% 1% 1% 2% 16% 77% 0% 20% 40% 60% 80% Other Mali Sudan Chad Nigeria Niger 1 NIGER POPULATION FLOW MONITORING POINTS

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Page 1: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGERDashboard #19

Period: 1 — 31 January 2019

INDIVIDUALSRECORDED

2,112 AVERAGE/

DAY +38%

Country of origin % Variation

Niger 66 -18 pp

Nigeria 30 +15 pp

Libya 4 +02 pp

Algeria 0,1 +0,2 pp

Female

Male

Adults Minors

20%

63%

8%

9%

INTRODUCTION: IOM works with national and local authorities and local partners to identify and

understand migration movements in West and Central Africa. Flow monitoring is an activity that

quantifies and qualifies flows, migrant profiles, trends and migration routes at a given point of entry, transit or

exit. Since February 2016, IOM Niger has been monitoring migration flows at six points across

Niger. The data collected provides an overview of migration in the region. The information is collected from

primary sources. Given the immensity of the region of Agadez, a new FMP (Madama) on the Libyan

border was activated in January 2019 to capture the outflows due to the proliferation of bypass roads.

This new FMP complements that of Séguédine which is now only capturing incoming flows. The data

collected provides an overview of migratory movements in the region. However, this monitoring of migration

flows does not replace border surveillance. Similarly, the results presented in this report do not reflect the

total flow of migrants through the Agadez region due to the size of the Sahara Desert, which covers more

than 700,000 km2 and has a large number of roads crisscrossing the region.

In addition to the three FMPs (Dan Barto, Magaria and

Tahoua) activated in August, a new FMP was also set

up in Niger (Dan Issa) in September. The aim was

to better understand migration routes along the

southern part of Niger and to complement the existing

FMPs in Arlit and Séguédine. There are now three cross

border FMPs (Dan Issa, Dan Barto and Magaria)

on the border between Niger and Nigeria, which

stretches over 1000 km. The FMP at Tahoua was set

up to understand internal movement flows as it is

situated in central Niger, sharing a border with the

Tillabery region in the east, Nigeria in the south and the

Agadez region in the north.

The new FMPs will be piloted in the coming months to understand the added value of the FMPs towards a

more holistic understanding of migration trends in Niger. Based on the initial findings from the new FMPs,

there may be adjustments to the new FMPs implemented based on an increased understanding of migration

patterns and routes.

METHODOLOGY: Flow monitoring is an investigative work that aims to highlight and increase

understanding of internal, cross-border and intraregional migration. Areas of high mobility are identified

across the country. DTM teams then conduct assessments at the local level to identify strategic transit

points. Enumerators collect data using key informants at the flow monitoring points; they may be staff at bus

stations, police or customs officials, bus or truck drivers or migrants themselves. A basic questionnaire

mixed with direct observations makes it possible to collect disaggregated data by sex and nationality. In

Niger, the flow monitoring points were chosen after consultation with national and local stakeholders

involved in migration management, and according to the locations and characteristics of the flows transiting

through the Sahara Desert. The data collection is done at times when the flows are the most frequent.

LIMITS: The data used in this analysis, including the maps, is an estimate and represents only a part of the

existing flows on the routes Agadez - Arlit – Assamaka; Agadez - Séguédine – Sebha; and southern routes.

The spatial and temporal coverage of these surveys is partial, although the collection is done daily and during

periods when flows are significant. Finally, no information is collected on existing flows outside the times

covered. Vulnerability data is based on direct observations by the enumerators and should be understood

only as an estimate.

DEMOGRAPHICS(collected through direct observation and interviews with bus drivers

and stationmanagers)

3% ELDERLY PERSONS

5% CHILDREN UNDER 5

4% PREGNANTWOMEN

1% PERSONS WITH PHYSICAL OR

MENTAL DISABILITIES

VU

LNERABIL

ITIE

SD

EM

OG

RAPH

ICS

ORIG

INAN

D IN

TEN

DED

DEST

INATIO

N

ORIGIN OF THE MOVEMENTS OBSERVED

INTENDED DESTINATION OF THE MOVEMENTS OBSERVED

MAIN NATIONALITIES OBSERVED

Variations calculated based on data from the previous month

TRAVELLERS’PROFILE(collected through direct observation and interviews with

bus drivers and stationmanagers)

MAIN TYPES OF MOVEMENTS OBSERVED

pp: percentage point

pp: percentage point

+3 pp

Country of destination % Variation

Niger 74 -03 pp

Nigeria 19 +10 pp

Libya 7 -08 pp

Algeria 0,1 -

THIS PROJECT IS IMPLEMENTED

BY IOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

+2 pp

+1 pp

+2 pp

43%33%

24%

0%

20%

40%

60%

Economicmigration (+ 6

months)

Short term localmovement

Seasonalmigration (-6

months)

2%

2%

21%

3%

13%

17%

2%

14%

27%

0% 10% 20% 30% 40% 50% 60%

Libya

Nigeria

Niger

Seasonal migration (-6 months)

Short term local movement

Economic migration (+ 6 months)

3%

2%

19%

3%

8%

22%

4%

7%

32%

0% 20% 40% 60% 80%

Libya

Nigeria

Niger

Seasonal migration (-6 months)

Short term local movement

Economic migration (+ 6 months)

3%

1%

1%

2%

16%

77%

0% 20% 40% 60% 80%

Other

Mali

Sudan

Chad

Nigeria

Niger

1

NIGER POPULATION FLOW MONITORING POINTS

Page 2: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGERDashboard #22

Period: 1 — 31 December 2018

THIS PROJECT IS IMPLEMENTED

BYIOM

INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] - www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

The depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted to beerror free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM.

7 Active FMPs in Niger

10 Information focal points

JANUARY 2019 SUMMARY

24,808 Individuals entering Niger

21,924 Individuals leaving Niger

18,735 Individuals observed

moving internally

65,467 Number of individuals

observed at the FMPs

All data included in this report is based on estimates.

IOM makes no guarantees as to the timeliness,

suitability, accuracy, reliability, quality or completeness of

the data contained in this report.

• The data in the graph shows the flows observed

at the seven active FMPs in Niger in January

2019. An average of 2,112 individuals per day

were recorded passing through the seven FMPs

during this month.• While 70 per cent of the flows were cross

border, 50 per cent of these were between

Niger and Nigeria, followed by 10 per cent with

Libya and Algeria respectively.• A small proportion (30%) of internal movements

were observed. Majority of these were observed

at Arlit (49%) and Dan Barto (26%). To a lesser

extent, internal movements were observed at

Magaria (16%) and at Tahoua (9%).• In January 2019, there were more incoming flows

(24,808 individuals) than outgoing flows (21, 924

individuals). On a daily average, 800 individuals

were incoming while 707 individuals were

outgoing.

CROSS BORDER MOVEMENTS INTERNAL MOVEMENTS

During the month of January 2019, 65,467

individuals were observed transiting through

the 7 active FMPs.

Incoming flows observed (24,808 individuals)

represent 38 per cent of all flows, while

outgoing flows (21,924 persons) represent 33

per cent.

In addition, 18,735 individuals or 29 per cent

of flows were observed moving internally.

The incoming flows were observed at: Dan

Issa (63%), followed by Magaria (14%), Arlit

and Séguédine (9% each), Dan Barto (4%) and

one per cent at the Tahoua FMP.

Most of the outgoing flows were observed at

the FMP of Dan Issa (42%) , Arlit and

Séguédine/Madama (21% each), Magaria (9%)

and Dan Barto (7%)

Internal movements are mainly observed at

the Arlit FMP (49%), followed by Dan Barto

(27%), Magaria (16%) and Tahoua (8%).

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

-

500

1 000

1 500

2 000

2 500EVOLUTION OF FLOWS OBSERVED IN NIGER IN JANUARY 2019

Incoming Internal OutgoingThe increases of 4, 5 and 10 January are

linked to the arrival of Nigerian students from

Mariam Abatcha University of Maradi who are

returning from their country after

celebrating Christmas and the new year.

65,5%

PRIVATE

VEHICLE1,8%

TRUCKS

0,3%

OTHER

32,4%

BUS

PRIMARY MEANS OF TRANSPORT IN JANUARY 2019

2

KEY RESULTS IN JANUARY 2019

FLOW OBSERVED IN JANUARY 2019

24%

3% 5% 2% 3%

1%14%

4% 8%

2%

14%

7%

3% 2%

7%

1%

0%

10%

20%

30%

40% Incoming

Internal

Outgoing

Page 3: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGER

THIS PROJECT IS IMPLEMENTED

BYIOM

INTERNATIONAL ORGANIZATION FO MIGRATION [email protected] -www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

NUMBER OF MIGRANTS OBSERVED AT THE FMPS (FEBRUARY 2016 – JANUARY 2019)

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

TYPE OF FLOWS OBSERVED

Year Incoming Outgoing Internal Total

2016 111,230 333,891 - 445,121

2017 98,306 69,430 - 167,736

2018 88,601 106,766 71,223 226,590

2019 24,808 21,924 18,735 65,467

1207 5521

9071

21786

23777

17707

15631

10163

1291

3413

1663 8

424

27239

8416

6549

9411

6725

6058 12082

2541

3592

2669

4600

4151

3464

3834

4758 9471

2224

4848

5319 12118

10379 16661

11374

24808

4084

8857

31503

71904

56676

48968

42081

32784

12654

11457

12923 6524

6329

4802

5442

7142

4387

3954

8754

4972

4863

5440

6821

3085

3901

5656

6056

6770

2093

6632

9187

17127

13728

16412

16119

21924

0

10000

20000

30000

40000

50000

60000

70000

80000

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan

2016 2017 2018 2019

Incoming Outgoing

Addition of 3 new FMPs :

. Magaria

. Dan Barto

. Tahoua

Addition of a new FMP :

. Dan Issa

Addition of a new FMP :

. Dan Issa

3

Dashboard #19

Period: 1 — 31 January 2019

IOM N iger conducts search and rescue 5SAR) operation and supports the Government of Niger in the registration processfor migrants arriving

from Algeria on the official Algerian convoys. These two types of incoming flows are not included in the FMP data in order to ensure data quality

and avoid double counting. As such, in order to provide a more holistic understantding of incoming flows to Niger, particularly from Algeria,

incoming flows should take into account these two additional figures on top of the figures captured by FMPs.

• Search and rescue operations: Since October 2016, IOM, in collaboration with the Direction Générale de la Protection Civiles (DGPC),

undertake search and rescue operations to find and bring migrants in distress to the nearest safe urban center in the Agadez region. Search and

rescue operations are performed both proactively and reactively to distress calls received. The migrants are often mentally and physically

stressed, suffering from traum, deshydratation and/or physical wounds. In jannuary 2019, IOM conducted 6 rescue operations in

Assamaka for 1,262 migrants signaling in distress which of those, 1,132 migrants were transported to the nearest urban

center in Arlit. (41%) were from Mali, (21%) Guinea Conakry, Côte d’Ivoire and Niger (7% each), (5%) Burkina Faso, Senegal and Cameroon

(4% each), (3%) Sierra Leone and other nationalities (8%). *Other SAR operation are conducted in Agadez, Arlit and Dirkou (see monthly SAR

Dashboard for more details).

• Official Algerian convoys: Each year, thousands of migrants, the majority of which are from Niger, are repatriated from Algeria towards Niger

within the framework of the agreement between the governments of Niger and Algeria. IOM, through the Migrant Response and Ressource

Mechanism (MRRM), provides humanitarian assistance for these migrants upon arrival to Niger including support in registration migrants. In

January 2019, 4 official Algerian convoys arrived with 657 migrants ( 97% Nigerien while 3% or 18 individualswere non-Nigerien).

RETURNS FROM ALGERIA AND SEARCH & RESCUE OPERATIONS IN JANUARY 2019

Page 4: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGER - ARLIT

513INDIVIDUALSRECORDED

AVERAGE/

DAY

Country of origin % Variation

Niger 100 -

Female

Male

Adults Minors

6%

88%

2%

4%

The Arlit Flow Monitoring Point captures both cross-border flows to and from Algeria, as well as internal

movements. The Arlit FMP has been active since February 2016.

During this month, more outgoing flows (4,564) than incoming flows (2,146) were observed. The main

departure cities included Arlit, Assamaka and Agadez (Niger) while the main destination cities included:

Assamaka, Arlit and Algerian villages located near the border (Note: the majority of migrants passing through

the Arlit FMP choose not to disclose their final destination given the sensitivities. In reality, most migrants

transiting through Assamaka intend to travel to cities within Algeria including Inguezzam, Tamanrasset,

Tamanghasset. Additionally, FMP figures do not include migrants refouled or repatriated from Algeria as

these are collected separately – see page 2).

In comparison with the previous month, the number of incoming flows decreased slightly while the outgoing

flows remain constant. The incoming flow decreased by 7%. The decrease may be liked to the changes of

roads because of the recurrent refoulment of migrants from Algeria.

The main reasons cited for movement continue to be economic migration (50%) and seasonal

migration (50%).

The main nationalities observed crossing the Arlit FMP this month included Nigerien (76%), Chadian (6%),

Nigerian and Sudanese (3% each). Other nationalities comprised of Malian, Guinean, Burkinabe,

Cameroonian and Senegalese nationals. Please note FMP breakdown of nationalities does not include

migrants refouled and/or repatriated from Algeria via the official convoys.

DEMOGRAPHICS(collected through direct observation and interviews with bus drivers

and stationmanagers)

pp: percentage point

<1% ELDERLY PERSONS

<1% CHILDREN UNDER 5

<1% PREGNANT WOMEN

<1% PERSONS WITH PHYSICAL

OR MENTAL DISABILITIES

VU

LNERABIL

ITIE

SD

EM

OG

RAPH

ICS

Country of destination % Variation

Niger 100 -

ORIG

INAN

DIN

TEN

DED

DEST

INATIO

N

ORIGIN OF THE MOVEMENTS OBSERVED

INTENDED DESTINATION OF THE MOVEMENTS OBSERVED

THIS PROJECT IS IMPLEMENTED

BYIOM

MAIN NATIONALITIES OBSERVED

Variations calculated based on data from the previous month

TRAVELLERS’PROFILE(collected through direct observation and interviews with

bus drivers and stationmanagers)

MAIN TYPES OF MOVEMENTS OBSERVED

-9%

INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] - www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

pp: percentage pointThe depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted tobe error free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM.

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

-

-

-

-

50% 50%

0%

20%

40%

60%

Economic migration

(+ 6 months)

Seasonal migration (-

6 months)

50% 50%

0% 20% 40% 60% 80% 100%

Niger

Seasonal migration (-6 months)

Economic migration (+ 6 months)

8%2%2%3%3%

6%76%

0% 20% 40% 60% 80%

Other

Guinea

Mali

Sudan

Nigeria

Chad

Niger

50% 50%

0% 20% 40% 60% 80% 100%

Niger

Seasonal migration (-6 months)

Economic migration (+ 6 months)

4

Dashboard #19

Period: 1 — 31 January 2019

Page 5: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGER – SEGUEDINE/MADAMA

220INDIVIDUALSRECORDED

AVERAGE/

DAY

Country of origin % Variation

Niger 64 -28 pp

Libya 35 +27 pp

Chad 1 +1 pp

Female

Male

Adults Minors

5%

91%

1%

3%

The Séguédine Flow Monitoring Point captures cross-border flows to and from neighbouring countries,

mainly Libya. The Séguédine FMP has been active since February 2016. Given the vastness of the Agadez

region which spans 703,00 km2 (greater than the size of France and 21 times larger than Belgium), a new

FMP (Madama) located near the Libyan border was activated in January 2019 to better capture cross-

border movements due to the proliferation of bypass roads to avoid border control posts. As such, this new

FMP complements the one in Séguédine which only captures incoming flows while Madama

captures outgoing flows.

During this month, more outgoing flows (4,535 individuals representing 67% of flows observed) than incoming

flows (2,273) were observed.

A daily average of 220 individuals were observed crossing through the Séguédine FMP this month, which is an

decrease of ten per cent compared to the previous month when 244 were crossing the border each day. The

main departure and destination cities included Agadez (Niger) and Sebha (Libya). Compared to the previous

month, flows are down by approximately eight per cent. This is possibly linked to the upsurge of insecurity in

the northern part of Libya, but also to the increasing attacks of armed groups in the area around the border

between Chad, Niger and Libya, which is a “no man’s land”.

The main reasons for movements observed remain the same as in previous months: economic migration

(34%) followed by seasonal migration and short term local movement (33%).

The main nationalities observed were: Nigerien (85%), Nigerians (6%), Chadians (5%) and other nationalities

observed (4%) include Ghanaians, Malians, Sudanese among others.

DEMOGRAPHICS(collected through direct observation and interviews with bus drivers

and stationmanagers)

pp: percentage point

<1% ELDERLY PERSONS

<1% CHILDREN UNDER 5

<1% PERSONS WITH PHYSICAL

OR MENTAL DISABILITIES

VU

LNERABIL

ITIE

SD

EM

OG

RAPH

ICS

Country of destination % Variation

Libya 65 -27 pp

Niger 33 +25 pp

Chad 2 +2 pp

ORIG

INAN

DIN

TEN

DED

DEST

INATIO

N

ORIGIN OF THE MOVEMENTS OBSERVED

INTENDED DESTINATION OF THE MOVEMENTS OBSERVED

THIS PROJECT IS IMPLEMENTED

BYIOM

MAIN NATIONALITIES OBSERVED

Variations calculated based on data from the previous month

TRAVELLERS’PROFILE(collected through direct observation and interviews with

bus drivers and stationmanagers)

MAIN TYPES OF MOVEMENTS OBSERVED

-

-10%

-

INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] - www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

-1 pp

pp: percentage pointThe depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted tobe error free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM.

-

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

34% 33% 33%

0%

10%

20%

30%

40%

Economicmigration (+ 6

months)

Seasonalmigration (-6

months)

Short term localmovement

12%

21%

11%

21%

12%

22%

0% 20% 40% 60% 80%

Libya

Niger

Short term local movement

Seasonal migration (-6 months)

Economic migration (+ 6

months)

1%

1%

1%

1%

5%

6%85%

0% 20% 40% 60% 80% 100%

Other

Sudan

Mali

Ghana

Chad

Nigeria

Niger

1%

11%

21%

1%

11%

21%

1%

11%

22%

0% 20% 40% 60% 80%

Chad

Niger

Libya

Short term local movement

Seasonal migration (-6 months)

Economic migration (+ 6

months)

5

Dashboard #19

Period: 1 — 31 January 2019

<1% PREGNANT WOMEN

Page 6: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGER - MAGARIA

276INDIVIDUALSRECORDED

AVERAGE/

DAY

Country of origin % Variation

Niger 64 +1 pp

Nigéria 36 -1 pp

Female

Male

Adults Minors

24%

59%

10%

7%

The Magaria Flow Monitoring Point was established to observe cross-border flows between Niger and

Nigeria, as well as internal flows. Magaria is a town on the border between Niger and Nigeria, through which

high volumes of flows originating from Nigeria pass; Nigeria is one of the main sending countries for

migrants traveling towards the Mediterranean. The Magaria FMP has been active since August 2018.

A daily average of 267 individuals passing through the Magaria FMP was observed during this month with

more incoming flows (41%) than outgoing flows (23%) and a larger proportion of internal movements (36%).

All flows observed were heading towards Niger and Nigeria. Primarily coming from the departure cities of

Magaria and Zinder (Niger); and Kano and Babura (Nigeria).

The reasons for migration for the majority remain similar with those of the previous month, thus flows

were classified as short term local movements (64%) and economic migration (36%).

Magaria is used mostly by Nigerien and Nigerian traders who have traditionally maintained an economic

exchange.

Two main nationalities were observed passing through this FMP in January 2019 : Nigeriens (78%), Nigerians

(22%).

Migrants transiting through the Magaria FMP travelled essentially in some private vehicles (96%), in some

trucks (3%) and in Buses (1%).

DEMOGRAPHICS(collected through direct observation and interviews with bus drivers

and stationmanagers)

pp: percentage point

<1% ELDERLY PERSONS

<1% CHILDREN UNDER 5

<1% PREGNANT WOMEN

<1% PERSONS WITH PHYSICAL

MENTAL DISABILITIES

VU

LNERABIL

ITIE

SD

EM

OG

RAPH

ICS

Country of destination % Variation

Niger 84 -1 pp

Nigéria 16 +1 pp

ORIG

INAN

DIN

TEN

DED

DEST

INATIO

N

ORIGIN OF THE MOVEMENTS OBSERVED

INTENDED DESTINATION OF THE MOVEMENTS OBSERVED

THIS PROJECT IS IMPLEMENTED

BYIOM

MAIN NATIONALITIES OBSERVED

Variations calculated based on data from the previous month

TRAVELLERS’PROFILE(collected through direct observation and interviews with

bus drivers and stationmanagers)

MAIN TYPES OF MOVEMENTS OBSERVED

-

-24%

-

INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] - www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

-5 pp

pp: percentage pointThe depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted tobe error free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM.

-

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

64%

36%

0%

20%

40%

60%

80%

Short term local

movement

Economic migration (+ 6

months)

22%

14%

23%

41%

0% 20% 40% 60%

Nigeria

Niger

Economic migration (+ 6 months)

Short term local movement

3%

33%

10%

54%

0% 20% 40% 60% 80%

Nigeria

Niger

Economic migration (+ 6 months)

Short term local movement

22%

78%

0% 20% 40% 60% 80%

Nigeria

Niger

6

Dashboard #19

Period: 1 — 31 January 2019

Page 7: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGERIA – DAN BARTO

245INDIVIDUALSRECORDED

AVERAGE/

DAY

Country of origin % Variation

Niger 86 -1 pp

Nigeria 14 +1 pp

Female

Male

Adults Minors

26%

63%

5%

6%

The Dan Barto Flow Monitoring Point captures cross-border flows between Niger and Nigeria. Dan Barto

is a town near the border with Nigeria through which high volumes of flows originating from Nigeria, often

traveling towards the Mediterranean via Agadez and Libya. The Dan Barto FMP has been active since

August 2018.

A daily average of 245 individuals passing through the Dan Barto FMP was observed during this month with

more outgoing flows (20%) than incoming flows (14%). The majority of individuals transiting trough the Dan

Barto FMP are short term local movements (66%). Compared with last month, movements remain constant.

The main reasons cited for migrating were short-term local movements (38%), seasonal migration

(35%) and economic migration (26%); while one per cent cited tourism.

Dan Barto is mostly used by Nigerien and Nigerian traders who maintain a close economic relationship.

Nigerien nationals travel to Nigeria to purchase goods while Nigerian nationals travel to Niger to purchase

animals and food (millet, beans, etc.).

Two main nationalities observed crossing the FMP : Nigeriens (96%) and Nigerians (4%).

The majority were observed travelling by bus (50%), private vehicles (47%), followed by trucks (2%), and

motorbikes (1%).

DEMOGRAPHICS(collected through direct observation and interviews with bus drivers

and stationmanagers)

pp: percentage point

<1% ELDERLY PERSONS

<1% CHILDREN UNDER 5

<1% PREGNANT WOMEN

<1% PERSONS WITH PHYSICAL

OR MENTAL DISABILITIES

VU

LNERABIL

ITIE

SD

EM

OG

RAPH

ICS

Country of destination % Variation

Niger 80 -6 pp

Nigeria 20.5 +6 pp

ORIG

INAN

DIN

TEN

DED

DEST

INATIO

N

ORIGIN OF THE MOVEMENTS OBSERVED

INTENDED DESTINATION OF THE MOVEMENTS OBSERVED

THIS PROJECT IS IMPLEMENTED

BYIOM

MAIN NATIONALITIES OBSERVED

Variations calculated based on data from the previous month

TRAVELLERS’PROFILE(collected through direct observation and interviews with

bus drivers and stationmanagers)

MAIN TYPES OF MOVEMENTS OBSERVED

-

INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] - www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

-5 pp

pp: percentage pointThe depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted tobe error free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM.

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

-2 pp

38% 35%

26%

1%

0%

20%

40%

Short term

local

movement

Seasonal

migration (-6

months)

Economic

migration (+ 6

months)

Tourism

1%

5%

21%

7%

28%

8%

30%

0% 20% 40% 60% 80%

Nigeria

Niger

Tourism

Economic migration (+ 6 months)

Seasonal migration (-6 months)

Short term local movement

4%

96%

0% 20% 40% 60% 80% 100%

Nigeria

Niger

-1 pp

-

7

Dashboard #19

Period: 1 — 31 January 2019

1%

3%

23%

5%

31%

4%

33%

0% 20% 40% 60% 80%

Nigeria

Niger

Tourism

Economic migration (+ 6 months)

Seasonal migration (-6 months)

Short term local movement

Page 8: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGERIA – DAN ISSA

804INDIVIDUALSRECORDED

AVERAGE/

DAY

Country of origin % Variation

Nigeria 63 -12 pp

Niger 37 +12 pp

Female

Male

Adults Minors

31%

40%

14%

15%

The Dan Issa Flow Monitoring Point captures cross-border flows between Niger and Nigeria. Dan Issa is a

town near the border with Nigeria through which high volumes of flows originating from Nigeria pass, often

traveling towards the Mediterranean via Agadez and Libya. The Dan Issa FMP has been active since

September 2018.

A daily average of 804 individuals passed through the Dan Issa FMP this month with more incoming flows

(63%) than outgoing flows (37%). All flows observed were heading toward Niger and Nigeria. The main

cities of departure are: Maradi, (Niger); Jibia, Mgama, Katsina, Kano, Abuja, Zamfara and Kaduna (Nigeria).

A significant increase of 755% was noted during this month. This increase may be linked to the

improvement in the road conditions as well as the successful measures of the Niger and Nigerian defense

forces to secure the road from armed robbers.

. It is also linked to the movement students of the Mariam Abatcha University going on vacation and the

arrival of students for short term programs

The main reasons cited for migration were economic migration (54%) and short-term local

movements (46%).

The main nationalities observed crossing the FMP include: Nigeriens (70%) and Nigerians (30%).

The majority were observed using private vehicles (54%) and buses (46%).

DEMOGRAPHICS(collected through direct observation and interviews with bus drivers

and stationmanagers)

pp: percentage point

3% ELDERLY PERSONS

4% CHILDREN UNDER 5

1% PERSONS WITH PHYSICAL

OR MENTAL DISABILITIES

VU

LNERABIL

ITIE

SD

EM

OG

RAPH

ICS

Country of destination % Variation

Niger 63 -12 pp

Nigeria 37 +12 pp

ORIG

INAN

DIN

TEN

DED

DEST

INATIO

N

ORIGIN OF THE MOVEMENTS OBSERVED

INTENDED DESTINATION OF THE MOVEMENTS OBSERVED

THIS PROJECT IS IMPLEMENTED

BYIOM

MAIN NATIONALITIES OBSERVED

Variations calculated based on data from the previous month

TRAVELLERS’PROFILE(collected through direct observation and interviews with

bus drivers and stationmanagers)

MAIN TYPES OF MOVEMENTS OBSERVED

X 8,6

INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] - www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

-3 pp

pp: percentage pointThe depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted tobe error free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM.

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

-3 pp

-3 pp

-

54%46%

0%

20%

40%

60%

Economic migration

(+ 6 months)

Short term local

movement

17%

29%

20%

34%

0% 20% 40% 60%

Niger

Nigeria

Short term local

movement

Economic

migration (+ 6

months)

17%

29%

20%

34%

0% 20% 40% 60%

Nigeria

Niger

Short term local

movement

Economic migration

(+ 6 months)

30%

70%

0% 20% 40% 60% 80%

Nigeria

Niger

8

Dashboard #19

Period: 1 — 31 January 2019

4% PREGNANT WOMEN

Page 9: POPULATION FLOW MONITORING NIGER - Displacement

POPULATION FLOW MONITORING

NIGERIA –TAHOUA

64INDIVIDUALSRECORDED

AVERAGE/

DAY

Country of origin % Variation

Niger 87 +8 pp

Nigeria 7 +5 pp

Algeria 3 -10 pp

Cotê d'Ivoire 3 1 pp

Female

Male

Adults Minors

5%

91%

1%

3%

The Tahoua Flow Monitoring Point captures both cross-border and internal movements. Tahoua is a city in

central Niger, where migrants transit. They mainly originate from Nigeria and other west Africa, such as Mali,

Cameroon and Burkina Faso. They tend to take the Agadez route toward Algeria and Libya, while some reach

Algeria through Tchinta, about 300km near the Algerian border. The Tahoua FMP has been active since

August 2018.

A daily average of 64 individuals passing through the Tahoua FMP was observed in January 2019. This

represents a 100% increase in comparison to the previous month.

81% of the flows observed were internal (34%) of these movements come from Niamey the capital, (32%)

from Agadez, (18%) from the city of Tahoua, (9%) from Maradi, (3%) from Assamaka, (2%) from Arlit. The (3%)

comes from Guidan-Roumdji and the Tchinbarakaten gold site. The outflows represent six per cent while the

incoming flows are quantified at 13 per cent.

The main reasons cited for migrating were short term local movements (42%), followed by seasonal

migration (29%) and economic migration (23%). 16 per cent of observed individuals did not respond to

the question.

The main nationalities observed crossing the FMP include: Nigeriens (85%), Nigerians (4%), Beninese (3%),

followed by Cameroonians and Ivoirians (2% each). The other nationalities include Burkinabe and Chadian

among others and represent 4 per cent.

The majority were observed travelling by buses (75%), followed by private vehicles and (21%) and trucks (4%).

DEMOGRAPHICS(collected through direct observation and interviews with bus drivers

and stationmanagers)

pp: percentage point

<1% PERSONS WITH PHYSICAL

OR MENTAL DISABILITIES

VU

LNERABIL

ITIE

SD

EM

OG

RAPH

ICS

Country of destination % Variation

Niger 94 +9 pp

Algeria 3 - 3 pp

Other 3 -6 ppORIG

INAN

DIN

TEN

DED

DEST

INATIO

N

ORIGIN OF THE MOVEMENTS OBSERVED

INTENDED DESTINATION OF THE MOVEMENTS OBSERVED

THIS PROJECT IS IMPLEMENTED

BYIOM

MAIN NATIONALITIES OBSERVED

Variations calculated based on data from the previous month

TRAVELLERS’PROFILE(collected through direct observation and interviews with

bus drivers and stationmanagers)

MAIN TYPES OF MOVEMENTS OBSERVED

+100%

INTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] - www.globaldtm.info

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization forMigration (IOM), (month, year), Displacement Tracking Matrix (DTM)”.

-5 pp

pp: percentage pointThe depiction and use of boundaries, geographic names, and related data shown on maps and included in this report are not warranted tobe error free nor do they imply judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries by IOM.

THIS PROJECT IS IMPLEMENTED

BYIOMINTERNATIONAL ORGANIZATION FOR MIGRATION [email protected] www.globaldtm.info/niger

Credentials: When quoting, paraphrasing or in any way using the information mentioned in this report, the source needs to be stated appropriately as follows:

“Source: International Organization for Migration (IOM), (January,2019), Displacement Tracking Matrix (DTM)”.

THIS PROJECT IS FUNDED BY THE EUROPEAN

UNION AND THE DEPARTMENT FOR

INTERNATIONAL DEVELOPMENT

-2 pp

-4 pp

-5 pp

42%

29%23%

6%

0%

20%

40%

60%

Short term

local

movement

Seasonal

migration (-6

months)

Economic

migration (+

6 months)

No answer

1%

1%

1%

3%

3%

20% 29%

3%

39%

0% 20% 40% 60% 80%

Algeria

Benin

Cotê d'Ivoire

Nigeria

Niger

No answer

Economic migration (+ 6 months)

Seasonal migration (-6 months)

Short term local movement

6%

2%

21% 29%

1%

1%

40%

0 0,2 0,4 0,6 0,8

Nigeria

Algeria

Niger

No answer

Economic migration (+ 6 months)

Seasonal migration (-6 months)

Short term local movement

4%

2%

2%

3%

4%85%

0% 20% 40% 60% 80% 100%

Other

Côte d'Ivoire

Cameroon

Benin

Nigeria

Niger

9

Dashboard #19

Period: 1 — 31 January 2019

<1% CHILDREN UNDER 5

<1% ELDERLY PERSONS

<1% PREGNANT WOMEN