This presentation by Nathalie Morandini was made at the 2nd Task Force Meeting on Charting Illicit Trade held on 5-7 March 2014. www.oecd.org/gov/risk/charting-illicit-trade-second-task-force-meeting.htm

1. The IOM Trafficked Migrant Database
TMAD
Paris, March 6, 2014

2. Overview
1. What is the TMAD
2. How data is collected
3. Information contained in the
database
4. IOM’s assistance in 2013: Global
5. IOM’s assistance in 2013: Europe
6. Publications based on IOM’s
data
7. In preparation: IOM’s Human
Trafficking Information Exchange

3. 1. What is the TMAD
• The CTM (2000-2012)
A case management database
created in 2000 to assist victims
of trafficking (VoTs).
• The TMAD (2012 - )
Since 2012, the CTM moved to a
web-based system: the TMAD
(Trafficked Migrants Assistance
Database). It is anticipated to be
fully functional by 2015.
The TMAD is a case management
tool as well as a unique knowledge
bank with over 25’000 registered
cases.

4. 2. How data is
collected
1. IOM Counter-Trafficking
Caseworkers interview individuals
referred to IOM Missions to assess
whether they might be victims of
trafficking
→ IOM Screening Interview Form
2. In case of eligibility for
assistance, the VoT is further
interviewed to assess the nature of
direct assistance needed and to
gather further details about their
trafficking experience.
→ IOM Assistance Interview Form

5. 3. Information
contained in the
database
• Demographic background
• Recruitment and transportation
process
• Patterns of exploitation and abuse
• Etc. (over 200 variables)
Caveats:
• The data collected is project-
specific: only captures data on IOM
assisted trafficking beneficiaries.
The trends are not representative
of the local reality
• No detailed information about the
prosecution cases
• No information from traffickers (it
is a victim-centred approach)

6. 4. IOM’s assistance in 2013: Global
Over 6’400 VoTs identified and assisted
by more than 65 IOM country missions
4%
16%
25%
28%
15%
12%
Regional Breakdown of Assistance
Africa
South & Central Asia
East Asia & pacific
Europe
Near East
Western Hemisphere

7. 4. IOM’s assistance in 2013: Global
43%
57%
Global Gender
Breakdown
Male Female
19%
81%
Global Age
Breakdown
Minor Adult
20%
80%
Global Breakdown
Trafficking Type
Internal International

8. 4. IOM’s assistance in 2013: Global
13%
65%
8%
1% 1%
1%
10% 1%
Global Breakdown Type of Exploitation
Sexual Exploitation
Forced Labor
Domestic Servitude
Begging
low level criminal activities
Combined sexual & forced
labor
Other
Unknown /not available

9. 4. IOM’s assistance in 2013: Global
1378
380
343
316
315
297
282
271
260
224
RUSSIAN FEDERATION
HAITI
YEMEN
JORDAN
UNITED ARAB EMIRATES
KAZAKHSTAN
INDONESIA
EGYPT
AFGHANISTAN
MALAYSIA
Top 10 countries of destination
1467
903
519
449
390
259
191
178
117
107
INDONESIA
UKRAINE
UZBEKISTAN
ETHIOPIA
HAITI
AFGHANISTAN
SRI LANKA
UGANDA
PHILIPPINES
ERITREA
Top 10 assisted by nationality

10. 5. IOM’s assistance in 2013: Europe
Over 1’900 VoTs assisted in Europe
4%
96%
Age breakdown
Under 18 18 and over
25%
70%
5%
Types of exploitation
Sexual exploitation
Forced labor
Other
929
353
95 92 70
Top 5 countries of
assistance in Europe

11. 6. Publications based on IOM’s data
Available at: http://publications.iom.int/bookstore/
•(2008) Trafficking in men, a trend less considered. The case of
Ukraine and Belarus. IOM Geneva
•(2010) The Causes and Consequences of Re-trafficking: Evidence
from the IOM Human Trafficking Database. IOM Geneva
•(2010) Beneath the surface. Some methodological issues in
trafficking research and data collection. Geneva: IOM &
Washington: NEXUS Institute.
•(2012) Trafficked to sea. The exploitation of Ukrainian seafarers
and fishermen. Geneva: IOM & Washington: NEXUS Institute.
•(Mid-2013) Trafficked for construction. Experiences from Ukraine.
Geneva: IOM & Washington: NEXUS Institute.

12. 7. In preparation:
IOM’s Human Trafficking Information Exchange
Overall Objective
Improve anti-trafficking
policy by strengthening
the knowledge base
with an enlarged, high
quality primary dataset.
Specific Objectives
1.Expand the available dataset
2.Improve analytical capacity
3.Evaluate policy and
programmatic responses

13. 7. In preparation:
IOM’s Human Trafficking Information Exchange
Expand the available dataset
•Increasing use of the TMAD
•Create technical platform for
data sharing
•Coordinate anonymized
datasets on standardized
core variables (18) with
relevant trafficking victim
assistance agencies
Improve analytical
capacity
•Conclude partnerships
with key
universities/research
institutions
•Train partners on core
variable collection
methodology
•Create a web hub to
facilitate dissemination
and communication
Evaluating Responses
•Establish partnerships
with research institutions
•Involve other large IGOs
•Assess main policy and
programmatic areas for
impact
•Rely on aggregated
primary dataset as baseline

14. 7. In preparation:
IOM’s Human Trafficking Information Exchange
Main expected outcomes
→Improved quantity and quality of primary data
→ Increased availability/frequency of primary data
→ Increased compatibility of primary data
→ Increased knowledge of impact and effectiveness of
responses
→ Increased capacity to predict and react to change
= Stronger Policies and Programmes

15. For more information
Ms. Ayima OKEEVA
Senior Research and Data
Analysis Assistant
Migrant Assistance Division
IOM Geneva
aokeeva@iom.int
Ms. Nathalie MORANDINI-SIEGRIST
Database and Project Assistant
Migrant Assistance Division
IOM Geneva
nmorandini@iom.int