Number of convicted traffickers genvio_tra_adm_conv__estat_traff_conv

Time format:
Years
Unit:
Number of traffickers (comparable)
Description:

Trafficking in human beings is a human rights violation that is expressly prohibited in the EU Charter of Fundamental Rights (Article 5, paragraph 3). In line with Directive 2011/36/EU on preventing and combatting trafficking in human beings and protecting its victims (adopted in 2011), and a Communication on the EU Strategy towards the Eradication of Trafficking in Human Beings 2012-2016 (adopted by the Commission in 2012 and endorsed by the Justice and Home Affairs Council), the European Commission has collected data on trafficking at the European level. Comprehensive and comparable data on trafficking in human beings at the European level will allow for a better assessment of the nature of the problem and enable more accurate conclusions.

Data on trafficking has been collected through questionnaires sent to countries’ National Statistical Offices. These questionnaires covered information on victims as well as traffickers.

Please note that the data on trafficking is affected by some comparability issues. These primarily relate to imprecise definitions, improper classifications and differences in units of measurement. More specifically:

  • Not all Member States have provided comprehensive data on all indicators displayed in the Gender Statistics Database. In view of this, and the differences between national definitions and recording systems, figures should be interpreted with caution, and with careful consideration of the methodological notes provided. A higher number of reported cases does not necessarily mean that a country has more victims than another country. Nor is it necessarily an indication of a better identification or recording system.
  • The data have been collected under different registering systems and procedures, which can, for example, apply different counting rules. While careful attention has been given to the way the data were collected, to minimise potential double or under counting, the complexity and the heterogeneous characteristics of the various data collection mechanisms, mean that it is difficult to make reliable comparisons between the data.
  • Measuring trafficking in human beings across countries remains a very complex task. It is important to stress that differences which still exist in the process of recording data, as well as differences between national legal definitions, make it difficult to compare and assess trends across EU Member States
  • The European Commission’s descriptive statistics on trafficking are based solely on official administrative statistical data registered by a range of different organisations. It measures the victims and traffickers that have come into contact with authorities and actors at national level. It does not aspire to measure the full extent of the phenomenon of trafficking in human beings and it does not include estimates. Unlike other reports looking at estimates or prevalence of trafficking in human beings, this data are based on a working paper on statistical data as submitted by national authorities.
EU28
RO
DE
NL
BG
BE
CY
EL
RS
UK
IT
LV
PL
AT
SK
CZ
SE
HU
SI
FI
LT
IE
PT
HR
LU
MT
IS
DK
EE
FR
ME
NO
ES
CH
TR
2016
2015
2014
2012
2011
2010
EU28
964
1424
938
1096
1389
1370
RO
333
252
331
427
276
203
DE
(z)
(z)
(z)
128
121
131
NL
(z)
124
129
123
99
107
BG
36
49
59
105
119
119
BE
(z)
(z)
(z)
48
68
64
CY
(z)
(z)
(z)
36
12
11
EL
9
21
(z)
34
16
(z)
RS
34
14
20
UK
4
2
(z)
32
38
29
IT
47
99
56
30
17
22
LV
16
9
14
19
14
21
PL
(z)
(z)
(z)
18
19
20
AT
26
15
49
17
9
14
SK
4
28
23
12
8
6
CZ
9
26
7
11
21
10
SE
2
2
1
9
2
6
HU
(z)
(z)
(z)
8
9
(z)
SI
6
5
(z)
8
6
4
FI
(z)
(z)
(z)
7
1
0
LT
23
16
(z)
7
11
11
IE
0
0
0
6
4
5
PT
10
(z)
(z)
6
1
1
HR
(z)
(z)
(z)
2
1
3
LU
8
9
11
2
6
6
MT
(z)
(z)
(z)
1
0
0
IS
0
0
0
DK
(z)
(z)
(z)
(z)
(z)
(z)
EE
11
4
4
(z)
(z)
(z)
FR
785
902
763
(z)
511
577
ME
(z)
(z)
(z)
NO
(z)
4
3
ES
16
19
21
(z)
(z)
(z)
CH
(z)
5
5
TR
(z)
(z)
(z)

Available flags:

b break in time series c confidential
d definition differs, see metadata e estimated
f forecast i see metadata
m imputed n not significant
p provisional r revised
s Eurostat estimate u low reliability
x dropped due to insufficient sample size y unreliable due to small sample size
z not applicable