Disaggregating Data for High Impact Development Policies -workshop- 29-oct-2025, Carlotta Balestra

The workshop “Disaggregating Data for Impactful Development Policies” convened experts, policymakers, and civil society representatives to assess progress in disaggregated data and distributional impact analysis in development contexts. It also explored practical solutions to current challenges, drawing on successful experiences from both OECD and non-OECD countries.

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1st Session
Disaggregating Data for Sustainable Development
Policies: Progress and Challenges Ahead
OECD Workshop –29 October 2025
Disaggregating Data for High Impact Development Policies
Moderator: Monica Brezzi(OECD)
CARLOTTA BALESTRA
CENTRE ON WELL-BEING, INCLUSION, SUSTAINABILITY AND EQUAL OPPORTUNITY (WISE)

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4
Minorities who experience discrimination have
worse well-being outcomes than others
Religion
Ethnicity and
skin colour
Non-minorities
LGBT
DisabilityProbability of being in
the bottom income
quintile (%)
Probability of being
concerned about
household's financial
situation (%)
Probability of being
concerned with housing
in the long term (%)
Probability of being
concerned about being
a victim of violence (%)
P
e
o
p
l
Probability of being
dissatisfied with public
safety services (%)
Probability of thinking
that governments do
not listen to people like
themselves (%)
Self-reported discrimination
No self-reported discrimination
Self-reported discrimination
No self-reported discrimination
Self-reported discrimination
No self-reported discrimination
Self-reported discrimination
No self-reported discrimination
Self-reported discrimination
No self-reported discrimination13
17
14
14
14
21
26
22
21
21
55
60
56
59
51
71
75
72
74
68
51
52
50
55
52
66
69
65
69
63
17
15
17
14
17
24
21
25
21
24
47
48
52
45
54
58
58
62
56
64
73
75
70
69
69
82
84
80
80
80
Note: Probabilities are derived from logistic regressions described in the report.
Source: OECD (2025), Combatting Discrimination in the European Union.
Figure 1: People who report experiencing discrimination in OECD EU countries have poorer outcomes across many well-being dimensions
Workshop on Disaggregating Data for High Impact Development Policies

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Workshop on Disaggregating Data for High Impact Development Policies 0%
10%
20%
30%
40%
50%
60%
0%
5%
10%
15%
20%
25%
30%
Asia Europe Africa and the Middle
East
Latin America and the
Caribbean
North America and
Oceania
Global average
Self-reported discrimination
rate
Forms of discrimination
Disability Skin colour Religion Sex Nationality/Ethnic groupOverall (RHS) BEL
ESTAUT
SWE
FRA
DEUNLD
DNK
EU 27 HRV
ROU
SVK
FIN
LVA
ITA CZE
LTU IRLESP
POL
BGR SVNHUN
GRC
PRT
R² = 0.4379
0%
5%
10%
15%
20%
25%
30%
35%
40%
3% 5% 7% 9% 11% 13% 15% 17% 19% 21%
Self-reported
discrimination rate
Share of at-risk population
Note: At-risk groups include those respondents who consider themselves to belong to a group that is at risk of discrimination based on their
ethnic identity, skin colouror religion; being Roma; being gay, lesbian or bisexual; being transgender or intersex; having a disability; or for other
reasons. The size of the bubbles represents the share of respondents in each country who have engaged in anti-discrimination actions in the
past 12 months including sharing online content about discriminatory incidents, publicly defending a victim of discrimination, joining an anti-
discrimination association or campaign or publicly raising the issue of discrimination in the workplace.
Source: OECD (2025), Global Experiences of Discrimination; OECD (2025), Combatting Discrimination in the European Union.
Figure3: Self-reported discrimination rates are higher in EU countries where minority groups
are larger, and awareness is higher
Figure2: Globalself-reported discrimination rates are higher in regions with a long history of
anti-discrimination laws and large minority populations
Countries with
stronger anti-
discrimination laws,
greater minority
acceptance, and more
diverse and aware
populations have
higher self-reported
discrimination rates