Share of youth not in education, employment or training, male (% of male youth population) - Country Ranking

Definition: Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.

Source: International Labour Organization, ILOSTAT database. Data retrieved in December 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Niger 56.86 2017
2 Kiribati 50.60 2019
3 Trinidad and Tobago 45.87 2013
4 The Gambia 45.28 2018
5 Liberia 41.22 2017
6 Lesotho 41.15 2019
7 Vanuatu 40.24 2019
8 Lao PDR 39.07 2017
9 Botswana 38.50 2020
10 Somalia 38.42 2019
11 Zimbabwe 36.57 2019
12 Zambia 36.45 2019
13 Mauritius 36.14 2020
14 Samoa 34.58 2017
15 Afghanistan 32.16 2020
16 St. Lucia 32.12 2019
17 Moldova 31.87 2018
18 Dominican Republic 31.09 2020
19 South Africa 30.98 2020
20 Jordan 30.60 2020
21 Burkina Faso 30.45 2018
22 Tajikistan 30.42 2009
23 Eswatini 29.85 2016
24 Seychelles 29.43 2020
25 Namibia 29.27 2018
26 Tonga 29.01 2018
27 Benin 28.96 2018
28 Georgia 28.71 2020
29 Jamaica 27.77 2020
30 Ghana 27.67 2017
31 Cabo Verde 27.10 2019
32 Armenia 26.99 2020
33 Rwanda 26.56 2020
34 Papua New Guinea 26.44 2010
35 Albania 26.20 2019
36 Guyana 25.70 2019
37 Côte d'Ivoire 25.36 2017
38 Nigeria 25.33 2019
39 Chad 24.81 2018
40 Peru 23.03 2020
41 Mauritania 22.69 2017
42 Nauru 22.05 2013
42 Yemen 22.05 2014
44 Uganda 21.75 2017
45 Tuvalu 21.71 2016
45 Angola 21.71 2014
47 Senegal 21.61 2019
48 Malawi 21.60 2020
49 Nepal 21.54 2017
50 Montenegro 21.51 2020
51 Comoros 21.35 2014
52 Turkey 21.21 2020
52 Congo 21.21 2009
54 Brazil 21.11 2020
55 Argentina 21.00 2020
56 Bosnia and Herzegovina 20.41 2020
57 Sudan 19.98 2011
58 North Macedonia 19.67 2020
59 Tunisia 19.41 2010
60 Chile 19.31 2020
61 Italy 19.09 2020
62 Guinea-Bissau 18.30 2018
63 Togo 18.28 2017
64 Iran 18.26 2020
65 Lebanon 17.94 2019
66 Mongolia 17.75 2020
67 Israel 17.40 2020
68 Serbia 17.20 2020
68 Egypt 17.20 2020
70 Indonesia 16.89 2020
71 Iraq 16.88 2012
72 Costa Rica 16.58 2020
73 Dem. Rep. Congo 16.43 2012
74 Saudi Arabia 16.41 2020
75 Timor-Leste 16.23 2016
76 Philippines 15.88 2020
77 Panama 15.72 2021
78 Colombia 15.55 2019
79 Uruguay 15.39 2019
80 El Salvador 15.33 2020
81 Cyprus 15.30 2020
82 Venezuela 14.99 2017
83 Mali 14.97 2018
83 Kenya 14.97 2019
85 Spain 14.77 2020
86 Belize 14.70 2019
87 Djibouti 14.51 2017
88 Canada 14.27 2021
89 Bulgaria 13.72 2020
90 India 13.55 2020
91 Ukraine 13.46 2017
92 Kyrgyz Republic 13.36 2020
93 Sri Lanka 13.34 2019
94 Greece 13.11 2020
95 Vietnam 12.92 2020
96 Ireland 12.70 2020
97 Haiti 12.68 2012
98 Malaysia 12.60 2020
99 Honduras 12.33 2019
100 Lithuania 12.25 2020
101 Croatia 12.19 2020
102 New Zealand 12.08 2020
103 Thailand 11.83 2020
104 Mexico 11.81 2020
105 United States 11.79 2021
106 France 11.66 2020
107 Romania 11.57 2020
108 New Caledonia 11.48 2014
109 Cambodia 11.44 2019
110 Palau 11.13 2014
111 Algeria 10.94 2017
112 Fiji 10.83 2016
113 Suriname 10.71 2016
114 Tanzania 10.62 2014
115 Cameroon 10.54 2014
116 United Kingdom 10.48 2019
117 Malta 10.37 2020
118 Finland 10.34 2020
119 Russia 10.32 2016
120 Belarus 9.99 2020
121 Ecuador 9.96 2019
122 Bangladesh 9.81 2017
123 Hong Kong SAR, China 9.80 2020
124 Belgium 9.77 2020
125 Slovak Republic 9.71 2020
126 Paraguay 9.61 2017
127 Guatemala 9.51 2019
128 Hungary 9.46 2020
129 Bolivia 9.43 2020
130 Portugal 9.35 2020
131 Austria 9.03 2020
132 Myanmar 9.01 2019
133 Australia 8.89 2017
134 Sierra Leone 8.74 2018
135 Nicaragua 8.49 2014
136 Luxembourg 8.27 2020
137 Estonia 7.97 2020
138 Brunei 7.95 2020
139 Poland 7.79 2020
140 Switzerland 7.71 2020
141 Denmark 7.70 2020
142 Germany 7.63 2020
143 Pakistan 7.60 2019
144 Guinea 7.16 2019
145 Latvia 6.94 2020
146 Slovenia 6.93 2020
147 Sweden 6.57 2020
148 Burundi 6.44 2017
149 Iceland 6.21 2020
150 Ethiopia 5.66 2013
151 Macao SAR, China 5.56 2016
152 Norway 5.40 2020
153 Solomon Islands 5.10 2013
154 Netherlands 4.66 2020
155 Czech Republic 4.27 2020
156 Singapore 3.41 2020
157 Madagascar 3.31 2012
158 Japan 2.70 2019

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Development Relevance: Unemployment and total employment are the broadest indicators of economic activity as reflected by the labor market. The International Labour Organization(ILO) defines the unemployed as members of the economically active population who are without work but available for and seeking work, including people who have lost their jobs or who have voluntarily left work. Some unemployment is unavoidable. At any time some workers are temporarily unemployed - between jobs as employers look for the right workers and workers search for better jobs. Such unemployment, often called frictional unemployment, results from the normal operation of labor markets. Youth unemployment is an important policy issue for many economies. Young men and women today face increasing uncertainty in their hopes of undergoing a satisfactory transition in the labour market, and this uncertainty and disillusionment can, in turn, have damaging effects on individuals, communities, economies and society at large. Unemployed or underemployed youth are less able to contribute effectively to national development and have fewer opportunities to exercise their rights as citizens. They have less to spend as consumers, less to invest as savers and often have no "voice" to bring about change in their lives and communities. Widespread youth unemployment and underemployment also prevents companies and countries from innovating and developing competitive advantages based on human capital investment, thus undermining future prospects. The NEET group is particularly at risk of both labour market and social exclusion, because this group is neither improving their future employability through investment in skills nor gaining experience through employment, . In addition, the NEET group is already in a disadvantaged position due to lower levels of education and lower household incomes. In view of the fact that the NEET group includes unemployed youth as well as economically inactive youth, the NEET rate provides important complementray information to labour force participation rates and unemploymenent rates. For example, if youth participation rates decrease during an economic downturn due to discouragement, this may be reflected in an upward movement in the NEET rate. More generally, a high NEET rate and a low youth unemployment may indicate significant discouragement of young people. A high NEET rate for young women suggests their engagement in household chores, and/or the presence of strong institutional barriers limiting female participation in labour markets.

Limitations and Exceptions: Data should be used cautiously because of differences in age coverage.

Statistical Concept and Methodology: The standard definition of unemployed persons is those individuals without work in a recent past period, and currently available for and seeking for employment. But there may be persons who do not actively "seek" work because they view job opportunities as limited, or because they have restricted labour mobility, or face discrimination, or structural, social or cultural barriers. NEET rates capture more broadly untapped potential youth, including such individuals who want to work but are not seeking work (often called the "hidden unemployed" or "discouraged workers"). Youth are defined as persons ages 15 to 24; young adults are those ages 25 to 29; and adults are those ages 25 and above. However, countries vary somewhat in their operational definitions. In particular, the lower age limit for young people is usually determined by the minimum age for leaving school, where this exists. When data are available for more than two age groups in a given year, one value for persons ages 15 to 29 is taken, considering that not all people complete their education by the age of 24.

Aggregation method: Weighted average

Periodicity: Annual