Share of youth not in education, employment or training, female (% of female 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 Yemen 69.69 2014
2 Afghanistan 65.89 2017
3 Iraq 65.49 2012
4 Trinidad and Tobago 58.62 2013
5 Zimbabwe 56.79 2014
6 Pakistan 54.94 2018
7 Mauritania 52.42 2012
8 Tajikistan 52.37 2009
9 Nauru 51.30 2013
10 Zambia 49.51 2017
11 India 48.25 2018
12 Kiribati 47.60 2015
13 Iran 47.56 2010
14 Guatemala 46.74 2017
15 Sudan 46.42 2011
16 Lao PDR 44.92 2017
17 Bangladesh 44.55 2017
18 Guyana 44.30 2017
19 Côte d'Ivoire 44.16 2017
20 Senegal 42.77 2015
21 The Gambia 42.61 2012
22 Uganda 42.26 2017
23 Honduras 42.22 2018
24 Botswana 42.11 2009
25 Nepal 41.97 2017
26 Samoa 41.54 2017
27 Malawi 41.39 2017
28 Eswatini 41.19 2016
29 Belize 39.44 2017
30 El Salvador 39.14 2018
31 Armenia 37.53 2017
32 Tuvalu 37.41 2016
33 Mali 36.85 2018
34 Niger 36.55 2014
35 Rwanda 36.17 2018
36 Sri Lanka 35.40 2016
37 Egypt 34.97 2017
38 Namibia 34.20 2018
39 South Africa 34.15 2018
40 Turkey 33.47 2018
41 Ghana 33.27 2017
42 Comoros 33.13 2014
43 Cabo Verde 32.83 2018
44 Vanuatu 32.41 2009
45 Albania 32.04 2013
46 Algeria 31.69 2017
47 Tunisia 31.24 2010
48 Colombia 31.07 2018
49 Georgia 30.99 2018
50 Dominican Republic 30.54 2017
51 Fiji 29.59 2016
52 Kyrgyz Republic 29.42 2018
53 Congo 29.07 2005
54 Brazil 29.03 2018
55 Papua New Guinea 28.98 2010
56 Mexico 28.61 2018
57 Indonesia 27.89 2018
58 Paraguay 27.32 2017
59 Lebanon 27.30 2007
60 Venezuela 26.96 2012
61 Ecuador 26.05 2018
62 Saudi Arabia 25.91 2015
63 Dem. Rep. Congo 25.79 2012
64 Philippines 25.74 2018
65 Timor-Leste 25.69 2016
66 North Macedonia 25.07 2018
67 Moldova 24.83 2015
68 Nigeria 24.52 2016
69 Mauritius 23.92 2018
70 Costa Rica 23.89 2018
71 Haiti 23.67 2012
72 Benin 23.18 2011
73 Panama 23.08 2018
74 Cameroon 23.07 2014
75 Argentina 22.49 2018
76 Bosnia and Herzegovina 21.68 2019
77 Mongolia 21.53 2018
78 United Arab Emirates 20.93 2017
79 Uruguay 20.78 2018
80 Peru 20.77 2017
81 Brunei 19.95 2017
82 Ukraine 19.65 2017
83 Italy 19.36 2018
84 Tanzania 19.04 2014
85 Chile 18.92 2018
86 Thailand 18.92 2018
87 Myanmar 18.59 2018
88 Kenya 18.24 2016
89 Bolivia 18.19 2017
90 Romania 17.84 2018
91 Serbia 17.51 2018
92 Bulgaria 16.83 2018
93 Liberia 16.69 2016
94 Malaysia 16.08 2018
95 Ethiopia 15.13 2013
96 Israel 15.00 2018
97 Russia 14.59 2016
98 Palau 14.39 2014
99 United States 14.31 2018
100 Togo 14.24 2015
101 Hungary 14.02 2018
102 Greece 14.01 2018
103 Croatia 13.99 2018
104 Belarus 13.76 2009
105 Montenegro 13.63 2018
106 New Zealand 12.65 2018
107 Canada 12.27 2018
108 New Caledonia 12.22 2014
109 Slovak Republic 12.05 2018
110 Spain 11.86 2018
111 Cyprus 11.69 2018
112 United Kingdom 11.22 2018
113 Sierra Leone 10.65 2014
114 Vietnam 10.63 2018
115 France 10.40 2018
116 Poland 10.10 2018
117 Ireland 9.89 2018
118 Madagascar 9.29 2015
119 Australia 8.96 2017
120 Belgium 8.93 2018
121 Estonia 8.86 2018
122 Portugal 8.39 2018
123 Finland 8.37 2018
124 Czech Republic 7.80 2018
125 Malta 7.76 2018
126 Lithuania 7.61 2018
127 Latvia 7.57 2018
128 Slovenia 7.22 2018
129 Austria 7.06 2018
130 Denmark 6.73 2018
131 Germany 6.47 2018
132 Sweden 6.09 2018
133 Burundi 5.98 2017
134 Luxembourg 5.96 2018
135 Hong Kong SAR, China 5.90 2016
136 Guinea 5.88 2002
137 Iceland 5.32 2018
138 Singapore 5.31 2018
139 Switzerland 4.75 2018
140 Norway 4.57 2018
141 Macao SAR, China 4.32 2016
142 Netherlands 4.15 2018
143 Japan 3.54 2018
144 Solomon Islands 3.16 2013
145 Angola 3.11 2014
146 Nicaragua 1.68 2014
147 Qatar 0.31 2017
148 Cambodia 0.10 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