The Scale of the Gap
The disability employment gap โ the difference in employment rates between people with and without disabilities โ is one of the most persistent structural features of labour markets globally. Across the OECD, the average gap is approximately 31 percentage points:
| Population group | Average employment rate (OECD, 2022) |
|---|---|
| People with disabilities | ~44% |
| People without disabilities | ~75% |
| Gap | ~31 percentage points |
Source: OECD, Society at a Glance 2023
This means people with disabilities are employed at roughly 60% of the rate of non-disabled people in OECD countries โ and the figure is substantially worse in many non-OECD countries.
Country Variation
The gap is not uniform. It varies substantially across countries, suggesting that policy, institutions, and labour market structure matter:
| Country | Disability employment gap (approx, 2022) | Notes |
|---|---|---|
| Switzerland | ~16 pp | Strong vocational rehabilitation system |
| Iceland | ~18 pp | Tight labour market, high overall employment |
| New Zealand | ~20 pp | Active supported employment investment |
| Australia | ~23 pp | โ |
| UK | ~28 pp | Equality Act + Access to Work |
| Germany | ~15โ20 pp (severe disability vs all) | SGB IX quota/levy framework |
| Norway | ~31 pp | High benefit generosity; quota voluntary |
| France | ~28 pp | OETH 6% quota |
| Poland | ~42 pp | Limited supported employment infrastructure |
| Hungary | ~39 pp |
Source: OECD 2023, Eurostat 2023, national statistics
Countries with the narrowest gaps tend to share: strong supported employment infrastructure, well-resourced accommodation support funds, tight overall labour markets, and robust legal enforcement.
Disability Benefit Spending as % of GDP
| Country | Disability benefit spending (% GDP, approx 2022) |
|---|---|
| Norway | ~2.5% |
| Denmark | ~2.3% |
| Sweden | ~2.1% |
| Netherlands | ~2.0% |
| OECD average | ~1.5% |
| UK | ~1.3% |
| USA | ~1.0% |
| Japan | ~0.6% |
| South Korea | ~0.3% |
Source: OECD SOCX (Social Expenditure Database)
High benefit spending does not automatically translate to lower employment gaps โ Norway and Denmark spend significantly more than average but have persistent gaps. The relationship between spending level and employment outcomes is mediated by programme design (passive versus active, replacement rate, conditionality) and by demand-side factors.
ILO Global Data
The International Labour Organization estimates that 1 billion people globally โ approximately 15% of the world's population โ live with some form of disability (ILO 2023, drawing on WHO/World Bank 2011 estimates).
Key ILO findings on employment:
- In low- and middle-income countries (LMICs), employment rate differences are even starker than in OECD countries, with gaps of 30โ50 percentage points in many contexts
- Women with disabilities face a double disadvantage: disability and gender intersect to produce substantially lower employment rates. Globally, women with disabilities have employment rates approximately 10โ15pp lower than men with disabilities
- The informal economy employs a disproportionate share of workers with disabilities in LMICs, where formal labour market protections and accommodations are less accessible
- Child disability is both a cause and consequence of poverty, creating intergenerational cycles of disadvantage
WHO World Report on Disability (2011)
The WHO/World Bank World Report on Disability (2011) โ the most comprehensive global synthesis to date โ found:
- 15% of the world population lives with disability
- Disability prevalence varies by country income level: higher in lower-income countries
- Employment rates globally: men with disabilities approximately 53% employed, versus 65% for men without disabilities; women with disabilities approximately 20% employed, versus 30% for women without disabilities
- Key barriers cited: inaccessible built environment and transport, lack of assistive technology, inadequate healthcare and rehabilitation, poverty, stigma and discrimination, inadequate education and training, and insufficient enforcement of anti-discrimination law
Structure of the Gap
The gap is not uniform across disability types, severity, gender, age, or education level.
By Disability Type (OECD average)
| Disability type | Approximate employment gap (pp above non-disabled rate) |
|---|---|
| Mental health conditions | 35โ45 pp |
| Intellectual disabilities | 50+ pp |
| Physical/musculoskeletal | ~25 pp |
| Hearing impairment | ~20 pp |
| Visual impairment | ~22 pp |
Mental health conditions represent the largest and fastest-growing category of disability across OECD countries, and also have among the largest employment gaps โ making them a priority target for intervention.
By Severity
People with severe disabilities have employment rates approximately 20โ30pp lower than people with moderate disabilities, even controlling for other factors.
By Gender
Women with disabilities have lower employment rates than men with disabilities in most countries, with the exception of some Nordic countries where the gender employment gap is narrower.
By Age
Young people with disabilities (15โ24) have NEET (not in employment, education, or training) rates 2โ3 times higher than young people without disabilities across OECD countries. Early intervention in education and school-to-work transition is therefore critical.
By Education
The employment gap narrows substantially with educational attainment โ from approximately 35pp for people with disabilities with lower secondary education to approximately 15pp for those with tertiary education. This gradient is consistent across countries.
Causes of the Gap
The evidence identifies both supply-side and demand-side causes.
Supply-Side (Individual)
- Health conditions directly limiting work capacity
- Lower educational attainment (partly caused by inaccessible education systems)
- Geographic concentration in low-employment areas
- Poverty trap effects of benefit systems (financial gain from work may be insufficient to compensate income from benefits)
Demand-Side (Employer)
- Statistical discrimination: employers assume that hiring someone with a disability will be costly, disruptive, or low-productivity, without assessing the individual
- Inaccessible recruitment: application, interview, and selection processes that are not adapted for disabled candidates
- Inaccessible workplaces: physical environments, digital systems, and work processes that cannot be adapted
- Risk aversion: concern about dismissal difficulties, accommodation costs, and absence management
Evidence consistently shows that employer-side barriers are at least as significant as individual supply-side factors, and in some contexts more significant. Disclosure studies (where identical CVs are sent with and without disability indicators) show discrimination at the recruitment stage is widespread.
Institutional
- Passive benefit design (high replacement rates, weak conditionality) that reduces financial incentive to seek work
- Inadequate supported employment capacity (not enough IPS places, long waiting lists)
- Healthcare-model vocational rehabilitation (focused on treatment rather than rapid job placement)
- Inconsistent legal enforcement (anti-discrimination law exists but is rarely enforced)
What Works: The Evidence
High-Evidence Interventions
Individual Placement and Support (IPS / supported employment): Cochrane systematic reviews and multiple RCTs consistently show that IPS โ rapid job placement in competitive employment with ongoing support โ achieves employment rates 2โ3 times higher than traditional vocational rehabilitation for people with severe mental health conditions. Effect sizes are consistent across countries including Norway, UK, USA, and Australia.
Wage subsidies: Time-limited wage subsidies to employers have moderate evidence of effectiveness, particularly when combined with support services. The evidence on permanent wage subsidies (as in Norway's varig lรธnnstilskudd) is more mixed โ they can support sustained employment but may also create substitution effects.
Workplace accommodation support funds: Employer-facing funds that reimburse accommodation costs (like the UK's Access to Work or NAV's tilretteleggingstilskudd) are consistently found to increase employer willingness to hire and retain disabled workers, with relatively low cost per employment outcome.
Early intervention: Evidence from multiple countries shows that early intervention in sickness absence (by week 6โ12) substantially improves return-to-work rates. The longer an absence, the lower the probability of return.
Weak or Uncertain Evidence
Generic disability awareness training: Studies find that one-off awareness training for managers has weak and short-lived effects on employer behaviour. Training linked to specific policy change and management accountability performs better.
Quota systems: Employment quotas exist in over 100 countries, but evidence of their impact on employment rates is mixed. Quotas can increase employment in quota-subject firms but may reduce employment outside those firms (substitution). Effectiveness depends heavily on enforcement and on the associated funding mechanisms (e.g., levy revenue redistribution).
Pledge and certification schemes: Voluntary employer pledge and certification schemes (like the UK's Disability Confident) have weak evidence of causal impact on employment rates, though they may improve employer knowledge and attitudes.
Sources
- OECD (2023): Society at a Glance. Paris: OECD Publishing
- OECD (2010): Sickness, Disability and Work: Breaking the Barriers. Paris: OECD
- ILO (2023): Disability Inclusion. Geneva: ILO
- WHO/World Bank (2011): World Report on Disability. Geneva: WHO
- Eurostat (2023): Disability statistics โ employment โ ec.europa.eu/eurostat
- Cochrane IPS Review: Bond, G.R. et al. โ Individual Placement and Support for employment in severe mental illness (multiple updates)
- OECD SOCX: Social Expenditure Database โ oecd.org/social/expenditure
Last reviewed: March 2026.