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 Kiribati 46.19 2015
2 Trinidad and Tobago 45.87 2013
3 Zimbabwe 39.83 2014
4 Lao PDR 39.07 2017
5 Zambia 36.43 2017
6 Armenia 35.72 2017
7 Samoa 34.58 2017
8 Moldova 30.65 2015
9 Tajikistan 30.42 2009
10 Eswatini 29.85 2016
11 Albania 29.82 2013
12 Namibia 29.27 2018
13 South Africa 28.99 2018
14 Senegal 28.71 2015
15 Botswana 28.52 2009
16 Cabo Verde 27.68 2018
17 Ghana 27.67 2017
18 Papua New Guinea 26.44 2010
19 Guyana 26.08 2017
20 Côte d'Ivoire 25.36 2017
21 Rwanda 24.59 2018
22 The Gambia 23.82 2012
23 Uganda 23.68 2017
24 Congo 23.67 2005
25 Malawi 23.59 2017
26 Mauritania 23.29 2012
27 North Macedonia 23.27 2018
28 Georgia 23.23 2018
29 Nauru 22.05 2013
30 Yemen 22.05 2014
31 Iran 21.96 2010
32 Tuvalu 21.71 2016
33 Comoros 21.35 2014
34 Bosnia and Herzegovina 20.76 2019
35 Vanuatu 20.10 2009
36 Brunei 19.99 2017
37 Sudan 19.98 2011
38 Nepal 19.95 2017
39 Egypt 19.55 2017
40 Brazil 19.45 2018
41 Tunisia 19.41 2010
42 Italy 19.02 2018
43 Montenegro 18.58 2018
44 Nigeria 18.28 2016
45 Dominican Republic 18.27 2017
46 Afghanistan 18.25 2017
47 Sri Lanka 18.07 2016
48 Mauritius 17.05 2018
49 Iraq 16.88 2012
50 Serbia 16.48 2018
51 Dem. Rep. Congo 16.43 2012
52 Mongolia 16.29 2018
53 Timor-Leste 16.23 2016
54 Lebanon 15.98 2007
55 Indonesia 15.77 2018
56 Turkey 15.61 2018
57 Argentina 15.53 2018
58 Uruguay 15.39 2018
59 Mali 14.97 2018
60 Belize 14.85 2017
61 Cyprus 14.81 2018
62 Costa Rica 14.71 2018
63 Peru 14.68 2017
64 El Salvador 14.52 2018
65 Philippines 14.38 2018
66 Israel 14.36 2018
67 India 14.26 2018
68 Greece 14.18 2018
69 Colombia 14.14 2018
70 Niger 13.85 2014
71 Ukraine 13.46 2017
72 Canada 13.37 2018
73 Bulgaria 13.35 2018
74 Chile 13.26 2018
75 Croatia 13.18 2018
76 Spain 13.01 2018
77 United States 13.00 2018
78 Haiti 12.68 2012
79 Venezuela 12.54 2012
80 Kyrgyz Republic 11.98 2018
81 France 11.74 2018
82 Honduras 11.56 2018
83 New Caledonia 11.48 2014
84 Romania 11.35 2018
85 New Zealand 11.23 2018
86 Palau 11.13 2014
87 Algeria 10.94 2017
88 Benin 10.89 2011
89 Fiji 10.83 2016
90 Estonia 10.81 2018
91 Thailand 10.74 2018
92 Tanzania 10.62 2014
93 Cameroon 10.54 2014
94 Belarus 10.50 2009
95 Russia 10.32 2016
96 Cambodia 10.26 2012
97 Ireland 10.24 2018
98 Panama 9.90 2018
99 Ecuador 9.83 2018
100 Bangladesh 9.81 2017
101 United Kingdom 9.71 2018
102 Paraguay 9.61 2017
103 Sierra Leone 9.48 2014
104 Belgium 9.36 2018
105 Kenya 9.20 2016
106 Malaysia 9.14 2018
107 Liberia 8.92 2016
108 Australia 8.89 2017
109 Finland 8.67 2018
110 Lithuania 8.45 2018
111 Slovak Republic 8.42 2018
112 Portugal 8.35 2018
113 Mexico 8.29 2018
114 Myanmar 8.21 2018
115 Latvia 8.08 2018
116 Hungary 7.60 2018
117 Pakistan 7.55 2018
118 Poland 7.30 2018
119 Switzerland 7.26 2018
120 Guatemala 7.09 2017
121 Denmark 6.93 2018
122 Malta 6.85 2018
123 Austria 6.60 2018
124 Saudi Arabia 6.58 2015
125 Guinea 6.56 2002
126 Burundi 6.44 2017
127 Hong Kong SAR, China 6.28 2016
128 Sweden 6.17 2018
129 United Arab Emirates 6.11 2017
130 Slovenia 6.08 2018
131 Togo 6.03 2015
132 Vietnam 6.00 2018
133 Ethiopia 5.66 2013
134 Macao SAR, China 5.56 2016
135 Germany 5.38 2018
136 Norway 5.11 2018
137 Bolivia 5.02 2017
138 Luxembourg 4.63 2018
139 Iceland 4.47 2018
140 Netherlands 4.20 2018
141 Madagascar 4.13 2015
142 Czech Republic 3.57 2018
143 Singapore 3.06 2018
144 Qatar 3.02 2017
145 Japan 2.23 2018
146 Angola 1.97 2014
147 Solomon Islands 1.34 2013
148 Nicaragua 1.15 2014

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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