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Georgia’s NEET Challenge: Why Young Women and Graduates Are Most at Risk of Being Left Out

Tbilisi State University — youth and the education-to-work transition
Photo: Patrik Kunec / Wikimedia Commons / CC BY-SA 4.0

Roughly three in ten young Georgians aged 15–29 have been found to be neither in employment, education nor training (NEET). Among teenagers the NEET share has been falling, mainly because more young people stay in education. But as young Georgians move through their twenties, the problem changes character: it becomes concentrated among young women outside the labour force and, unusually, among graduates. This analysis argues that Georgia’s NEET challenge is less a teenage dropout problem than a failed transition from education to work — and that it is gendered.

Updated 2 October 2026: this analysis now includes Geostat’s NEET data for 2024 and 2025.

Key Findings

  • The World Bank found that 31% of Georgians aged 15–29 were NEET, among the highest rates in Europe and Central Asia (World Bank, 2019). Geostat data put the 15–29 NEET rate at 30.6% in 2019 (UNA Georgia, n.d.).
  • Among 15–24-year-olds, the share neither working nor studying fell from 29% in 2020 to 21% in 2023, mainly because more young people stayed in education (PMCG Research, 2024).
  • Geostat’s latest data show the decline continuing: the NEET rate for 15–29-year-olds fell from 35.1% in 2020 to 23.4% in 2025, and for 15–24-year-olds from 28.5% to 17.6%. Young women remain more affected than young men — 26.1% against 21.0% among 15–29-year-olds in 2025 (Geostat, 2026).
  • NEET rates are consistently higher for young women. Among female NEETs the most common condition is inactivity due to homemaking or caregiving; among male NEETs it is unemployment (World Bank, 2019).
  • In Georgia, NEET rates among higher education graduates are higher than among those with less education, particularly for women — a strong sign of mismatch between graduates and jobs (World Bank, 2019).
  • Between 2020 and 2023 youth unemployment fell from 40% to 33% for young men, but only from 38% to 37% for young women (PMCG Research, 2024).

1. Introduction

The NEET rate — the share of young people not in employment, education or training — is a broader measure of youth exclusion than the unemployment rate, because it includes young people who are inactive as well as those searching for work. It has become a standard indicator in the European Union and in the Sustainable Development Goals.

A companion GILS analysis shows that Georgia’s falling youth unemployment rate reflects, in part, young people leaving the labour force. This analysis focuses on a different question: who are Georgia’s NEETs, and why? Our thesis is that the stereotype of the NEET as a teenage dropout is misleading in Georgia. The core of the problem lies in the twenties, among young women and among graduates — groups for whom the transition from education to work is failing.

2. Data

This analysis draws on the World Bank’s study of the gender profile of NEETs in Georgia and Armenia (World Bank, 2019), PMCG Research’s analysis of Geostat youth data for 2020–2023 (ages 15–24), and Geostat figures cited by UNA Georgia. These sources use different age ranges and periods — 15–29 in the World Bank study, 15–24 in the PMCG analysis — so their figures are not directly comparable. They are used here to establish patterns rather than a single precise rate.

3. Findings

3.1 A high rate, falling among teenagers

Both the World Bank (31%) and Geostat (30.6% in 2019) placed the NEET rate for 15–29-year-olds at around three in ten before the pandemic. Geostat’s current NEET series begins in 2020 (35.1%) and is not directly comparable with the 2019 figure; it shows the rate falling to 23.4% by 2025. The earlier figures compare with about 11% for tertiary-educated 25–29-year-olds across OECD countries (UNA Georgia, n.d.). Among 15–24-year-olds, the NEET share has improved: it fell by 8 percentage points between 2020 and 2023, to 21%. But the improvement came from more young people studying — the share studying and not working rose by 8 points — rather than from more young people working (PMCG Research, 2024).

Unemployment rate by age group, Georgia 2020 (%)Unemployment rate by age group, Georgia 2020 (%)0%15%30%45%60%43.9%15–1938.3%20–2423.2%25–29Source: Geostat 2020 data, cited in UNA Georgia (n.d.)
Figure 1. Unemployment is highest among the youngest, but remains high into the late twenties.

3.2 The gender divide

The World Bank study found NEET rates consistently higher for young women than young men in Georgia, concluding that being female is itself a risk factor for labour market exclusion. Crucially, the nature of being NEET differs by sex: for young women, the most common condition is economic inactivity due to homemaking or caregiving; for young men, it is unemployment (World Bank, 2019). A study citing the same evidence reports that at the age of 20, 37% of young women in Georgia are NEET (EPRC, n.d.).

Youth unemployment by sex (ages 15–24), Georgia (%)Youth unemployment by sex (ages 15–24), Georgia (%)0%10%20%30%40%40%38%202033%37%2023Young menYoung womenSource: Geostat, compiled by PMCG Research (2024)
Figure 2. Youth unemployment fell sharply for young men between 2020 and 2023 but barely changed for young women.

Recent data confirm the divide. Young women’s labour force participation was on average 14 percentage points below young men’s over 2020–2023. Young men are more likely to be working and not studying, young women more likely to be studying and not working (PMCG Research, 2024). Across all ages, women’s labour force participation in 2024 was 44.9%, against 66.2% for men (Geostat, 2025).

3.3 The graduate paradox

In most countries, more education strongly protects against being NEET. Georgia and Armenia stand out as exceptions: the World Bank found that higher education does not necessarily prevent young people from becoming NEET, and that NEET rates among higher education graduates were even higher than among those with less education, especially for women. The study described this as a strong sign of mismatch between the supply of graduates and the demand for skilled labour (World Bank, 2019).

Table 1. Summary of NEET patterns in Georgia
Dimension Pattern Source
Overall (15–29) About 31% NEET World Bank (2019)
Trend (15–29) 35.1% (2020) → 23.4% (2025) Geostat (2026)
Trend (15–24) 28.5% (2020) → 17.6% (2025), driven largely by more study Geostat (2026); PMCG Research (2024)
Sex Higher for women; women mainly inactive (care), men mainly unemployed World Bank (2019)
Education Higher among graduates than among less-educated, especially women World Bank (2019)
Location Mostly urban in Georgia World Bank (2019)

3.4 An urban phenomenon

Contrary to common assumptions, the World Bank found Georgia’s NEET phenomenon to be mostly urban. One plausible interpretation, consistent with the ILO finding that agricultural employment is almost entirely informal (Pignatti, 2026), is that in rural areas young people who are not studying are more likely to work in family agriculture, even if informally, while in cities a young person who does not find suitable work is more likely to remain outside employment altogether. This interpretation should be tested with current microdata.

4. Discussion

Argument 1: Georgia’s NEET problem is a transition problem

If the NEET share among teenagers is falling because more of them stay in education, but graduates face higher NEET risk than non-graduates, then the weakest point in the system is the transition from education to work. More education is being supplied; the labour market is not converting it into jobs. Policies focused on keeping teenagers in school address a part of the problem that is already improving.

Argument 2: The female NEET is mostly a care problem

When young women are NEET because of homemaking and caregiving, active labour market programmes designed for the unemployed will not reach them. The barrier is the availability of care services and the social expectation that young women provide unpaid care. Georgia’s NEET strategy must therefore include childcare and elder care, not only training and job search assistance.

Counter-argument: being NEET is often temporary

Some young people are NEET briefly between studies and a first job, or while caring for a newborn child. Not all NEET status signals long-term exclusion. We agree, and better data on the duration of NEET spells would help. But the evidence that young women’s NEET status is driven by inactivity rather than job search, and that graduates face higher risk, suggests that a significant share is not short-term frictional status.

Counter-argument: young people choose not to work

It is sometimes argued that NEET status reflects preferences — young people waiting for better jobs or supported by family. Preferences matter, but they are formed in response to opportunities. When only 9% of employed young people work part-time (PMCG Research, 2024) and graduate jobs are scarce, choosing to wait may simply reflect the absence of suitable options.

5. Limitations

The main sources use different age ranges and reference years, and the most detailed gender and education breakdown is from a study published in 2019. Recent Georgian NEET data broken down by sex, education and region are not routinely published, which limits analysis of current patterns. The duration of NEET spells could not be examined.

6. Conclusion

Georgia’s NEET challenge is often described as a “lost generation” of teenagers. The evidence points elsewhere: to young women in their twenties held outside the labour force by care responsibilities, and to graduates whom the labour market fails to absorb. These are problems of transition and of care, not primarily of schooling. Addressing them requires care services, graduate employment pathways and NEET data that are published regularly and broken down by sex and education.

GILS Recommendations

  1. Publish NEET rates annually for ages 15–24 and 15–29, by sex, education level, region and reason for inactivity.
  2. Expand affordable childcare and elder care as a youth employment measure, with explicit targets for young women’s participation.
  3. Build graduate transition pathways: structured internships, employer partnerships with universities and graduate employment tracking.
  4. Design outreach for inactive young people, not only for registered jobseekers, through municipalities and community services.
  5. Promote regulated part-time work to allow young people to combine study, care and employment.

GILS Position

The NEET rate measures a failure of transition, not a failure of young people. In Georgia that failure falls most heavily on young women and graduates. GILS calls for a youth employment policy that measures these groups directly and addresses care and graduate employment as core priorities.

References

  1. Geostat (2026). Share of youth not in education, employment or training (NEET) by sex, 2020–2025. geostat.ge
  2. World Bank (2019). Exploring the Diversity of Young People Not in Employment, Education or Training (NEET): The Gender Profile of NEETs in Georgia and Armenia. Washington, DC: World Bank. doi:10.1596/31833. worldbank.org
  3. PMCG Research (2024). Youth Employment in Georgia, Issue 148. research.pmcg-i.com
  4. UNA Georgia (n.d.). Young People in Georgia Miss Out on Chances They Deserve. una.ge
  5. EPRC (n.d.). Youth unemployment and NEETs in Georgia and Armenia. Economic Policy Research Center. eprc.ge
  6. Pignatti, C. (2026). Recent Trends on Informal Employment in Georgia. ILO Working Paper 159. doi.org/10.54394/MOJI5185
  7. Geostat (2026). Share of youth not in education, employment or training (NEET) by sex, 2020–2025. geostat.ge
  8. Geostat (2025). Indicators of the Labour Force (Employment and Unemployment), 2024. geostat.ge

Suggested citation: GILS Research Team (2026). Georgia’s NEET Challenge: Why Young Women and Graduates Are Most at Risk. Editor: G. Pkhakadze. Georgian Institute of Labour Studies, Tbilisi. labour.edu.ge

GILS analyses are prepared with AI-assisted drafting. All figures and claims are verified against the cited primary sources and reviewed under the responsibility of the Editor.

This analysis is also published in GMJ News — Work & Health, the news service of the Georgian Medical Journal.

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