⚠️ Unconfirmedsocial2023

Share of youth Not in Employment, Education or Training (NEET), ages 15–24

Name: Share of youth Not in Employment, Education or Training (NEET), ages 15–24
Creator: International Labour Organization (ILO) – ILOSTAT
Keywords: statistic-of-the-day, ai-generated, youth, education, employment, labor-market, NEET, ILO, skills, school-to-work

Percent of people ages 15–24 who are not employed and not in education or training (NEET), by country (ILO modelled estimates, 2023).

Source: International Labour Organization (ILO) – ILOSTAT•156 countries

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Key Insights

Global Average

16.7%

Median: 15.6%

Countries Covered

156

with available data

Highest

Haiti

35.1%

Lowest

Singapore

2.1%

Top 5 Countries

1Haiti35.1%

2Togo33.9%

3South Africa33.6%

4Democratic Republic of the Congo32.8%

5Chad32.4%

By Region

Africa21.1%(9 countries)

Other20.0%(78 countries)

South America16.5%(7 countries)

North America15.5%(4 countries)

Asia13.7%(25 countries)

Key Findings

•NEET rates vary widely across countries, reflecting differences in education-to-work transitions and labor demand for young workers.
•Some high-income economies have very low NEET rates (e.g., Singapore, Japan), while several countries face NEET rates above 25%, signaling elevated risk of long-term disengagement.
•NEET is a complementary measure to youth unemployment because it also captures youth who are not actively seeking work and those outside education/training.

Country Rankings

Top 10 Countries

Bottom 10 Countries

Data Analysis

Value Distribution

How countries are distributed across the value range

Low (2.1%)High (41.7%)

Regional Comparison

Average values by world region (Global avg: 16.7%)

Africa (9)

Other (78)

South America (7)

North America (4)

Asia (25)

Europe (31)

Oceania (2)

About This Statistic

The youth NEET rate measures the share of young people (ages 15–24) who are not in employment and are also not enrolled in education or training. It is widely used to assess how successfully countries are integrating young people into school-to-work pathways and to identify groups at risk of long-term labor-market exclusion.

The International Labour Organization (ILO) produces internationally comparable NEET estimates using harmonized labor force survey data and statistical modelling where direct survey observations are missing or incomplete. Because definitions of employment and education/training can vary across national systems, using ILO modelled estimates helps maintain cross-country comparability, especially for countries with limited survey frequency.

Full Data

Rank ↑	Country ↕	Value ↕
1	Haiti	35.1%
2	Togo	33.9%
3	South Africa	33.6%
4	Democratic Republic of the Congo	32.8%
5	Chad	32.4%
6	Niger	31.4%
7	Sudan	30.9%
8	Burundi	30.7%
9	Central African Republic	30.2%
10	Mauritania	29.5%
11	Bangladesh	28.9%
12	Zambia	28.3%
13	Madagascar	28.0%
14	Ethiopia	27.5%
15	Guinea-Bissau	27.2%
16	Bolivia	27.1%
17	Guinea	26.8%
18	Zimbabwe	26.7%
19	Yemen	26.6%
20	Lesotho	26.3%
21	Republic of the Congo	25.9%
22	Sierra Leone	25.8%
23	Republic of The Gambia	25.6%
24	Armenia	25.4%
25	Venezuela	25.2%
26	Mozambique	25.1%
27	Morocco	24.9%
28	Argentina	24.8%
29	Mali	24.7%
30	Honduras	24.5%
31	Senegal	24.4%
32	Malawi	24.2%
33	Guatemala	23.8%
34	Jamaica	23.2%
35	Egypt	22.9%
36	Iraq	22.7%
37	Nicaragua	22.6%
38	United Republic of Tanzania	22.5%
39	Papua New Guinea	22.1%
40	El Salvador	22.0%
41	Islamic Republic of Iran	21.9%
42	Dominican Republic	21.2%
43	Ghana	20.9%
44	Country 532	20.8%
45	Bulgaria	20.5%
46	Cote d'Ivoire	20.4%
47	Indonesia	20.1%
48	Namibia	20.0%
49	Nigeria	19.9%
50	Cameroon	19.8%
51	Suriname	19.7%
52	Barbados	19.6%
53	Rwanda	19.4%
54	Tunisia	19.3%
55	Jordan	19.2%
56	Solomon Islands	19.1%
57	Türkiye	19.0%
58	Pakistan	18.9%
59	Uganda	18.8%
60	Paraguay	18.7%
61	Lebanon	18.6%
62	Kenya	18.5%
63	Mexico	18.4%
64	Tajikistan	18.2%
65	Panama	18.1%
66	The Republic of North Macedonia	17.5%
67	Bahrain	17.0%
68	Sri Lanka	16.9%
69	Colombia	16.8%
70	Brunei Darussalam	16.7%
71	Ecuador	16.6%
72	Cape Verde	16.5%
73	Costa Rica	16.4%
74	Peru	16.3%
75	Belize	16.2%
76	Cayman Islands	16.1%
77	Nepal	16.0%
78	Georgia	15.8%
79	Afghanistan	15.3%
80	Serbia	15.1%
81	Austria	14.9%
82	Uruguay	14.8%
83	Kyrgyzstan	14.7%
84	Cuba	14.6%
85	Benin	14.4%
86	Romania	14.3%
87	Algeria	14.2%
88	Lao People's Democratic Republic	14.1%
89	Brazil	14.0%
90	Bosnia and Herzegovina	13.9%
91	Mongolia	13.8%
92	India	13.7%
93	Uzbekistan	13.6%
94	Myanmar	13.5%
95	Philippines	13.2%
96	People's Republic of China	13.1%
97	Croatia	13.0%
98	Spain	12.9%
99	Greece	12.8%
100	Moldova, Republic of	12.7%
101	Bhutan	12.6%
102	Chile	12.4%
103	Belarus	12.3%
104	Trinidad and Tobago	12.2%
105	Fiji	11.9%
106	Bermuda	11.8%
107	United Kingdom	11.7%
108	Hungary	11.6%
109	New Caledonia	11.5%
110	France	11.4%
111	Slovakia	11.3%
112	Bahamas	11.2%
113	Ukraine	11.1%
114	Russian Federation	11.0%
115	Mauritius	10.9%
116	United States of America	10.9%
117	Albania	10.8%
118	Kazakhstan	10.7%
119	Cambodia	10.6%
120	Portugal	10.6%
121	Czech Republic	10.5%
122	Belgium	10.4%
123	Lithuania	10.3%
124	Cyprus	10.2%
125	Latvia	10.1%
126	Malaysia	10.0%
127	Estonia	9.9%
128	Thailand	9.8%
129	Poland	9.4%
130	Australia	9.3%
131	Vietnam	9.2%
132	Andorra	9.1%
133	Canada	9.0%
134	Kuwait	8.9%
135	Ireland	8.7%
136	United Arab Emirates	8.6%
137	New Zealand	8.0%
138	Qatar	7.9%
139	Israel	7.8%
140	Slovenia	7.7%
141	Angola	7.6%
142	Oman	7.4%
143	Botswana	7.3%
144	Switzerland	7.2%
145	Denmark	7.1%
146	Sweden	7.0%
147	Saudi Arabia	6.9%
148	Norway	6.8%
149	Finland	6.7%
150	Netherlands	6.5%
151	Iceland	6.4%
152	Germany	6.2%
153	South Korea	6.1%
154	Luxembourg	5.3%
155	Japan	4.6%
156	Singapore	2.1%

Showing 156 of 156 countries

Topics

#statistic-of-the-day #ai-generated #youth #education #employment #labor-market #NEET #ILO #skills #school-to-work

Data Source

This data comes from International Labour Organization (ILO) – ILOSTAT (2023).

View Original Source