Share of youth not in education, employment or training, total (% of 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 Trinidad and Tobago 52.05 2013
2 Zimbabwe 48.47 2014
3 Kiribati 46.89 2015
4 Yemen 44.77 2014
5 Zambia 43.53 2017
6 Tajikistan 42.20 2009
7 Lao PDR 42.08 2017
8 Afghanistan 42.01 2017
9 Iraq 40.64 2012
10 Mauritania 39.49 2012
11 Samoa 37.93 2017
12 Armenia 36.59 2017
13 Nauru 36.40 2013
14 Senegal 36.24 2015
15 Botswana 35.47 2009
16 Eswatini 35.46 2016
17 Guyana 35.20 2017
18 Côte d'Ivoire 34.83 2017
19 Iran 34.35 2010
20 The Gambia 34.00 2012
21 Uganda 33.47 2017
22 Malawi 32.90 2017
23 Sudan 32.81 2011
24 Albania 32.80 2015
25 Nepal 32.10 2017
26 Namibia 31.76 2018
27 South Africa 31.56 2018
28 Pakistan 30.96 2018
29 Rwanda 30.62 2018
30 Ghana 30.46 2017
31 India 30.41 2018
32 Cabo Verde 30.25 2018
33 Tuvalu 28.96 2016
34 Moldova 27.83 2015
35 Papua New Guinea 27.68 2010
36 Comoros 27.58 2014
37 Bangladesh 27.39 2017
38 Belize 27.34 2017
39 Guatemala 27.26 2017
40 El Salvador 27.15 2018
41 Sri Lanka 27.09 2016
42 Egypt 26.87 2017
43 Georgia 26.85 2018
44 Mali 26.72 2018
45 Honduras 26.68 2018
46 Congo 26.46 2005
47 Vanuatu 26.33 2009
48 Tunisia 25.22 2010
49 Niger 25.20 2014
50 Turkey 24.41 2018
51 Dominican Republic 24.34 2017
52 Brazil 24.15 2018
53 North Macedonia 24.14 2018
54 Colombia 22.59 2018
55 Indonesia 21.71 2018
56 Nigeria 21.36 2016
57 Dem. Rep. Congo 21.36 2012
58 Lebanon 21.30 2007
59 Bosnia and Herzegovina 21.17 2019
60 Timor-Leste 20.95 2016
61 Algeria 20.95 2017
62 Kyrgyz Republic 20.53 2018
63 Mauritius 20.46 2018
64 Fiji 20.09 2016
65 Brunei 19.97 2017
66 Philippines 19.89 2018
67 Venezuela 19.63 2012
68 Italy 19.19 2018
69 Argentina 19.02 2018
70 Costa Rica 19.02 2018
71 Mongolia 18.88 2018
72 Mexico 18.43 2018
73 Haiti 18.19 2012
74 Paraguay 18.06 2017
75 Uruguay 17.95 2018
76 Peru 17.68 2017
77 Ecuador 17.67 2018
78 Benin 17.23 2011
79 Cameroon 17.01 2014
80 Serbia 16.98 2018
81 Ukraine 16.47 2017
82 Panama 16.38 2018
83 Montenegro 16.20 2018
84 Saudi Arabia 16.10 2015
85 Chile 15.86 2018
86 Bulgaria 15.04 2018
87 Tanzania 14.93 2014
88 Thailand 14.78 2018
89 Israel 14.67 2018
90 Romania 14.52 2018
91 Greece 14.09 2018
92 Kenya 13.73 2016
93 United States 13.65 2018
94 Myanmar 13.60 2018
95 Croatia 13.57 2018
96 Cyprus 13.21 2018
97 Liberia 13.15 2016
98 Palau 12.92 2014
99 Canada 12.84 2018
100 Malaysia 12.47 2018
101 Spain 12.44 2018
102 Russia 12.41 2016
103 Belarus 12.08 2009
104 New Zealand 11.92 2018
105 New Caledonia 11.84 2014
106 Bolivia 11.64 2017
107 United Arab Emirates 11.31 2017
108 France 11.07 2018
109 Hungary 10.73 2018
110 Ethiopia 10.48 2013
111 United Kingdom 10.45 2018
112 Slovak Republic 10.19 2018
113 Sierra Leone 10.09 2014
114 Ireland 10.07 2018
115 Togo 9.85 2015
116 Estonia 9.85 2018
117 Kazakhstan 9.49 2016
118 Belgium 9.15 2018
119 Australia 8.94 2017
120 Poland 8.66 2018
121 Finland 8.52 2018
122 Portugal 8.37 2018
123 Vietnam 8.31 2018
124 Lithuania 8.04 2018
125 Latvia 7.84 2018
126 Malta 7.28 2018
127 Austria 6.83 2018
127 Denmark 6.83 2018
129 Madagascar 6.78 2015
130 Slovenia 6.62 2018
131 Guinea 6.20 2002
132 Burundi 6.19 2017
133 Sweden 6.13 2018
134 Hong Kong SAR, China 6.10 2016
135 Switzerland 6.04 2018
136 Germany 5.90 2018
137 Czech Republic 5.63 2018
138 Luxembourg 5.28 2018
139 Macao SAR, China 4.96 2016
140 Iceland 4.87 2018
141 Norway 4.85 2018
142 Netherlands 4.18 2018
143 Singapore 4.14 2018
144 Japan 2.94 2018
145 Angola 2.56 2014
146 Solomon Islands 2.26 2013
147 Qatar 2.25 2017
148 Nicaragua 1.42 2014
149 Cambodia 0.06 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