Thursday, December 25, 2025

Decent Work and Inclusive Employment: Challenges and Policy Responses

DECENT WORK AND INCLUSIVE EMPLOYMENT

Challenges and Policy Responses

Originally published: 2026
Data and Evidence Update: September 2026

ATEP MED – Arab Digital Center for Media & Development
Prepared and published by: Mohamed Chaieb Barhoumi


Introduction: Employment Is More Than Having a Job

Employment is one of the most important foundations of social and economic development.

For individuals and households, decent work provides income, economic security, dignity and the opportunity to participate fully in society.

For communities, employment supports local economies, reduces vulnerability and strengthens social cohesion.

For governments, employment is closely connected to economic growth, social protection, poverty reduction and human development.

Yet having a job does not automatically mean having decent work.

A person may be employed and still experience:

  • low wages;
  • insecure employment;
  • informal work;
  • limited social protection;
  • unsafe working conditions;
  • discrimination;
  • unstable working hours;
  • lack of career development;
  • limited access to training;
  • or insufficient income to maintain an adequate standard of living.

This distinction is fundamental.

The objective should not simply be more jobs. It should be more productive, inclusive, secure and decent employment.


1. The Employment Challenge in Tunisia

Tunisia's labour-market indicators illustrate the scale and complexity of the challenge.

According to the National Institute of Statistics, the unemployment rate reached 14.9% in the second quarter of 2026.

The number of unemployed people stood at approximately 622,400, compared with 641,700 in the first quarter of 2026.

Although the decline in the number of unemployed people represents an improvement, the overall rate remains high and conceals major inequalities between population groups.

The unemployment rate in the second quarter of 2026 was:

  • 11.8% for men
  • 21.6% for women

The gender gap is therefore substantial.

This demonstrates that employment policies cannot be designed around the national unemployment rate alone.

They must examine who is unemployed, where they live, what skills they possess, how long they have been unemployed and what barriers prevent them from entering the labour market.

 


2. Youth Unemployment: A Structural Challenge

Young people face particularly difficult transitions from education to employment.

The challenge is not simply that young people need jobs.

Many face a combination of:

  • limited work experience;
  • skills mismatches;
  • insufficient career guidance;
  • weak access to professional networks;
  • geographic barriers;
  • lack of finance for entrepreneurship;
  • temporary and informal employment;
  • and limited opportunities in local labour markets.

The latest INS data show that youth unemployment among people aged 15–24 reached 38.4% in the fourth quarter of 2025.

The rate was 37.0% for young men and 41.3% for young women.

The problem therefore affects young women particularly strongly.

 

The broader challenge is also visible through the NEET indicator.

The International Labour Organization reports that 29.4% of young people aged 15–29 in Tunisia were not in employment, education or training in 2024.

This indicator is important because it captures a group that may otherwise disappear from conventional unemployment statistics.

A young person who is not actively looking for work may not be classified as unemployed, yet may still be disconnected from education and the labour market.

 


3. Women and the Labour Market

Gender inequality remains one of the most important dimensions of Tunisia's employment challenge.

The INS reported that women represented only 31.1% of the active population in the fourth quarter of 2025, compared with 68.9% for men.

Among employed people, women represented approximately 29%, compared with 71% for men.

The unemployment gap is also significant.

In the fourth quarter of 2025:

  • overall unemployment: 15.2%
  • male unemployment: 12.6%
  • female unemployment: 20.8%

Among higher-education graduates, unemployment reached 22.5%, but the gender difference was particularly striking:

  • men: 11.7%
  • women: 30.5%

The second-quarter 2026 INS data show that the graduate unemployment problem became even more pronounced, reaching 26.6% overall and 35.6% among women graduates.

These figures demonstrate that education alone does not guarantee equal access to employment.

 

The policy question is therefore not only:

How can young people acquire skills?

It is also:

How can economies create employment opportunities that make effective use of those skills?


4. Education, Skills and Labour-Market Mismatch

Education is an important foundation for employment, but the relationship between education and employment is not automatic.

High unemployment among university graduates can indicate a mismatch between:

  • education and labour-market demand;
  • academic qualifications and practical skills;
  • training programmes and emerging economic sectors;
  • geographical distribution of skills and employment opportunities.

A serious employment policy therefore needs stronger links between:

Education → Skills → Employers → Work Experience → Employment

Vocational education, apprenticeships, internships, professional training and continuing education can help strengthen these connections.

But training programmes should also be based on evidence.

If a local economy has strong agricultural, tourism, digital, industrial or environmental potential, training should reflect actual or emerging demand.

Training people for occupations that have few employment opportunities will not solve unemployment.


5. Informal Employment and Job Security

Another important dimension of decent work is the quality and security of employment.

Informal workers may lack:

  • formal contracts;
  • social insurance;
  • pension rights;
  • unemployment protection;
  • occupational safety;
  • paid leave;
  • stable income;
  • legal protection.

Informality can therefore increase vulnerability even when a person is technically employed.

This is particularly important for:

  • seasonal agricultural workers;
  • domestic workers;
  • small traders;
  • self-employed workers;
  • casual workers;
  • temporary workers;
  • workers in micro-enterprises.

Employment policy should therefore measure not only the number of jobs created but also their quality.

A job should be assessed according to several dimensions:

Income + Security + Rights + Protection + Working Conditions + Opportunity


6. Employment by Economic Sector

The structure of employment also matters.

According to Tunisia's INS, in the fourth quarter of 2025:

  • 53.3% of employed people worked in services;
  • 18.9% in manufacturing industries;
  • 12.9% in non-manufacturing industries;
  • 14.8% in agriculture and fishing.

This distribution shows the importance of services to Tunisia's labour market while also confirming the continued importance of agriculture.

Employment policies should therefore be adapted to the structure of the economy.

Different sectors require different approaches.

Services may require digital skills, communication, professional and technical capabilities.

Manufacturing may require industrial skills and productivity improvements.

Agriculture may require investment in value chains, irrigation, climate resilience, processing and market access.

 


7. Regional Inequality and Employment

National employment indicators can hide major territorial differences.

A young person living in a major urban centre may have access to:

  • universities;
  • companies;
  • training institutions;
  • transportation;
  • digital services;
  • professional networks;
  • financial institutions.

A young person in a remote rural locality may face very different conditions.

Geographic isolation can increase the cost of accessing:

  • education;
  • employment;
  • markets;
  • public services;
  • financial services;
  • professional training.

This means that employment policy should include a strong territorial dimension.

Local employment strategies should identify:

  • major economic sectors;
  • available skills;
  • unemployed groups;
  • local businesses;
  • infrastructure;
  • transportation;
  • training institutions;
  • market opportunities;
  • investment potential.

8. Rural Employment and Local Economies

Rural employment deserves particular attention.

Agriculture remains an important source of employment, especially outside major urban centres.

But rural workers can face:

  • seasonal employment;
  • low productivity;
  • climate risks;
  • limited access to finance;
  • weak market access;
  • inadequate transport;
  • limited processing facilities;
  • limited social protection.

Rural employment policies should therefore move beyond the simple objective of preserving existing jobs.

They should support local economic diversification.

This may include:

  • agricultural processing;
  • local value chains;
  • cooperatives;
  • rural tourism;
  • renewable energy;
  • digital services;
  • handicrafts;
  • small enterprises;
  • logistics;
  • environmentally sustainable activities.

The objective is to create an ecosystem in which rural communities can generate more stable and diversified livelihoods.


9. Decent Work and Social Protection

Employment cannot be separated from social protection.

Workers need protection against:

  • illness;
  • workplace accidents;
  • unemployment;
  • disability;
  • old age;
  • loss of income;
  • family-related risks.

Social protection can also strengthen economic resilience.

When households have no protection against economic shocks, a temporary loss of income can quickly become a long-term poverty problem.

Decent employment policies should therefore connect labour-market measures with social-protection systems.

The broader policy framework should include:

Employment + Social Protection + Skills + Labour Rights + Economic Inclusion


10. Measuring Decent Work

Employment policies require measurable indicators.

A useful monitoring framework can include:

Labour-market indicators

  • unemployment rate;
  • employment rate;
  • labour-force participation;
  • youth unemployment;
  • female unemployment;
  • graduate unemployment.

Job-quality indicators

  • formal employment;
  • informal employment;
  • wages;
  • working hours;
  • occupational safety;
  • employment stability;
  • access to social protection.

Inclusion indicators

  • women in employment;
  • youth employment;
  • employment of persons with disabilities;
  • regional employment gaps;
  • rural employment;
  • vulnerable workers.

Skills indicators

  • participation in vocational training;
  • apprenticeships;
  • professional certification;
  • transition from education to employment;
  • employer demand for specific skills.

Without measurable indicators, employment strategies risk becoming statements of intention rather than evidence-based policies.


11. From Employment Statistics to Policy Responses

Statistics should lead to policy questions.

If youth unemployment is extremely high, policymakers should ask:

Why?

If female unemployment is significantly higher than male unemployment, they should ask:

Which barriers are preventing women from entering or remaining in employment?

If graduate unemployment is high, they should ask:

Where is the mismatch between education and labour-market demand?

If rural employment is unstable, they should ask:

Which local economic sectors can generate more sustainable livelihoods?

This is the difference between simply reporting unemployment and conducting evidence-based employment analysis.


12. Policy Response 1: Strengthen School-to-Work Transitions

Young people need pathways from education into employment.

Policies can strengthen:

  • career guidance;
  • apprenticeships;
  • internships;
  • vocational training;
  • employer partnerships;
  • professional mentoring;
  • digital skills;
  • entrepreneurship training.

The objective should be to reduce the distance between education and the first job.


13. Policy Response 2: Support Women’s Economic Participation

Women face multiple barriers to employment.

Policies should consider:

  • childcare;
  • safe transportation;
  • flexible work;
  • equal pay;
  • protection against discrimination;
  • access to finance;
  • entrepreneurship;
  • professional training;
  • digital work opportunities;
  • support for rural women.

The objective should not simply be increasing women's employment statistics.

It should be creating conditions in which women can access productive, secure and sustainable employment.


14. Policy Response 3: Support Local Economic Development

Employment policy should connect with local development.

Local authorities and development organizations can map:

  • economic resources;
  • unemployed groups;
  • skills;
  • local enterprises;
  • investment opportunities;
  • infrastructure gaps;
  • market opportunities.

This can produce place-based employment strategies rather than applying the same solution everywhere.


15. Policy Response 4: Expand Digital and Remote Work Opportunities

Digital transformation has created new possibilities for employment.

Remote work can potentially reduce some geographic barriers, particularly for workers who have:

  • digital skills;
  • language skills;
  • professional expertise;
  • internet access;
  • reliable digital infrastructure.

Potential areas include:

  • digital journalism;
  • translation;
  • content writing;
  • online education;
  • research;
  • data services;
  • communications;
  • digital marketing;
  • software and technology services.

However, remote work should not be treated as a substitute for broader labour-market reform.

It requires digital inclusion, appropriate skills, reliable connectivity and access to international or national markets.


16. Policy Response 5: Improve Labour-Market Data

Good employment policy depends on good data.

Labour-market statistics should be:

  • regular;
  • transparent;
  • disaggregated;
  • comparable;
  • geographically detailed;
  • gender-sensitive;
  • age-sensitive.

Data should help answer questions such as:

  • Where are jobs being created?
  • Which sectors are expanding?
  • Which groups remain excluded?
  • What skills are employers demanding?
  • Which regions have the highest unemployment?
  • How many young people are NEET?
  • How widespread is informal employment?
  • Which interventions actually improve employment outcomes?

Data should therefore be treated as a policy infrastructure.


17. From Projects to Employment Ecosystems

Short-term employment projects can help individuals, but sustainable employment requires stronger economic ecosystems.

A local employment ecosystem may include:

Education → Skills → Finance → Enterprise → Markets → Infrastructure → Social Protection → Employment

If one component is missing, employment outcomes may remain weak.

For example, training unemployed young people without connecting them to employers may produce certificates without jobs.

Providing finance without market access may create businesses that cannot survive.

Building infrastructure without supporting local enterprises may create assets without sufficient economic activity.

Employment policy must therefore consider the entire system.


18. Evidence-Based Employment Policy

A stronger employment strategy follows a cycle:

Measure → Understand → Prioritize → Design → Implement → Monitor → Evaluate → Adapt

Measure

Collect reliable labour-market data.

Understand

Identify the causes behind unemployment and exclusion.

Prioritize

Determine which groups and regions require the greatest attention.

Design

Develop interventions based on evidence.

Implement

Deliver services, training, investment and employment support.

Monitor

Track outputs and outcomes.

Evaluate

Determine whether interventions actually worked.

Adapt

Modify policies according to evidence.

This cycle transforms employment policy from a collection of programmes into a learning system.


19. Key Employment Data — Tunisia

Indicator

Latest figure

Period

Source

Overall unemployment

14.9%

Q2 2026

INS

Unemployed people

622,400

Q2 2026

INS

Male unemployment

11.8%

Q2 2026

INS

Female unemployment

21.6%

Q2 2026

INS

Graduate unemployment

26.6%

Q2 2026

INS

Male graduate unemployment

14.2%

Q2 2026

INS

Female graduate unemployment

35.6%

Q2 2026

INS

Youth unemployment, 15–24

38.4%

Q4 2025

INS

Young men, 15–24

37.0%

Q4 2025

INS

Young women, 15–24

41.3%

Q4 2025

INS

Youth NEET, 15–29

29.4%

2024

ILO

Employment in services

53.3%

Q4 2025

INS

Employment in manufacturing

18.9%

Q4 2025

INS

Employment in agriculture & fishing

14.8%

Q4 2025

INS

 


Conclusion

Decent work is not simply a question of reducing unemployment.

It is a question of creating an economy in which people can find productive employment, earn adequate incomes, develop their skills, enjoy labour rights and obtain protection against economic and social risks.

Tunisia's labour-market data demonstrates the scale of the challenge.

An overall unemployment rate of 14.9% in the second quarter of 2026 remains significant.

But the national average tells only part of the story.

Female unemployment reached 21.6%, compared with 11.8% for men.

Graduate unemployment reached 26.6%, rising to 35.6% among women graduates.

Youth unemployment had reached 38.4% among people aged 15–24 at the end of 2025.

And 29.4% of young people aged 15–29 were NEET in 2024, according to the ILO.

These figures demonstrate that employment exclusion is not a single problem.

It affects young people, women, graduates and vulnerable communities in different ways.

The policy response must therefore be equally differentiated.

Employment strategies should combine:

Skills + Enterprise + Investment + Labour Rights + Social Protection + Local Development + Digital Inclusion + Reliable Data

The ultimate objective is not simply to increase the number of people counted as employed.

It is to build labour markets that are productive, inclusive, resilient and fair.

Decent work is both an economic objective and a social development objective.

And effective employment policy begins when statistics are transformed into understanding, and understanding is transformed into action.


Sources and Data

Tunisia National Institute of Statistics (INS)
Employment and unemployment indicators, quarterly labour-market statistics.

International Labour Organization (ILO)
Youth NEET and labour-market analysis for Tunisia.

ATEP MED – Arab Digital Center for Media & Development
Research, development communication and evidence-based reporting.

Prepared and published by: Mohamed Chaieb Barhoumi


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