When a company wants to hire someone and has the choice between two candidates with equal skills and qualifications, which of the following criteria may put one candidate at a disadvantage? ta_pubopn_discr_perc__eb_spec_candiddisa

Time format:
Years
Unit:
Percentage (comparable)
Description:

The data in this table are based on the surveys EUROBAROMETER 83.4 (May 2015) and EUROBAROMETER 91.4 (May 2019). The data show what percentage of all respondents have selected each answer (from 0="Not mentioned" or 1="Mentioned") when asked the question "In (OUR COUNTRY) when a company wants to hire someone and has the choice between two candidates with equal skills and qualifications, which of the following criteria may, in your opinion, put one candidate at a disadvantage?"

From the 2015 to the 2019 survey, the following changes were made to the answer options.

    The following options were removed: “The candidate’s skin colour or ethnic origin”; “The candidate’s gender identity (being transgender or transsexual)”; “The candidate’s age, if he/she is over 55 years old”; “The candidate’s age, if he/she is under 30 years old” 

    The following options were added: “The candidate’s ethnic origin”; “The candidate’s skin colour”; “The candidate’s gender identity (being transgender)”; “The candidate being Roma”; “The candidate’s age, if they are considered as too young or too old”; “The candidate’s sex characteristics (being intersex)”

Keywords:
discriminated, discrimination, qualifications, skills
SE
NL
FI
ES
AT
SI
FR
DE
DK
HR
EE
EU28
EL
CZ
UK
LU
CY
PT
HU
BE
IE
SK
IT
LV
LT
MT
BG
RO
PL
2019
2015
SE
43.6
48.9
NL
40.5
41.2
FI
39.7
40.4
ES
35.6
28.6
AT
35.5
31.6
SI
35
38.5
FR
34.9
31.4
DE
30.8
28.1
DK
29.8
29.8
HR
29.2
28.9
EE
29.1
29.9
EU28
28.1
EL
27.6
23.1
CZ
26.9
39.9
UK
26.7
LU
25.7
33.6
CY
24
27.9
PT
23.6
19.3
HU
22.9
32.1
BE
22.7
24.2
IE
22.7
22.4
SK
22.4
27.7
IT
21.4
22.4
LV
21
20.2
LT
20.8
22.8
MT
18.7
27.7
BG
18.3
17
RO
17.5
28.2
PL
16.1
22.4

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