Unemployment, youth male (% of male labor force ages 15-24) (national estimate) - Country Ranking

Definition: Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.

Source: International Labour Organization, Key Indicators of the Labour Market database.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Bosnia and Herzegovina 62.80 2012
2 Spain 53.40 2014
3 Macedonia 52.00 2014
4 Namibia 49.40 2013
5 South Africa 48.00 2014
6 Kiribati 47.60 2010
7 Greece 47.40 2014
8 Solomon Islands 45.80 1999
9 Croatia 44.90 2014
10 Montenegro 42.30 2012
11 Swaziland 41.70 1997
12 Italy 41.30 2014
13 Libya 40.80 2012
14 Cabo Verde 40.70 1990
15 Mozambique 40.20 2012
16 The Gambia 38.10 2012
17 Cyprus 37.40 2014
18 Tunisia 35.70 2012
19 Georgia 35.30 2013
20 Portugal 34.20 2014
21 Albania 32.50 2013
22 Cayman Islands 32.00 2013
23 Armenia 31.80 2013
24 Serbia 31.00 2008
25 Gabon 30.60 2010
26 Jamaica 30.00 2013
27 Botswana 29.60 2010
27 The Bahamas 29.60 2012
29 Slovak Republic 29.50 2014
30 Lesotho 29.00 2013
31 Puerto Rico 28.90 2012
32 Egypt 28.70 2013
33 St. Vincent and the Grenadines 27.80 2008
34 Barbados 27.70 2013
35 Ireland 26.60 2014
35 Syrian Arab Republic 26.60 2011
37 Dominica 26.20 2001
38 Luxembourg 26.10 2014
39 Yemen 26.00 2010
40 Grenada 25.40 1998
41 Jordan 25.20 2012
42 Sweden 24.20 2014
43 France 24.10 2014
44 Belgium 24.00 2014
45 Bulgaria 23.80 2014
46 Ukraine 23.70 2014
47 Romania 23.60 2014
48 Finland 22.80 2014
49 Poland 22.70 2014
50 Lebanon 22.30 2007
51 Dominican Republic 22.20 2013
52 Algeria 22.10 2014
53 St. Lucia 21.50 2007
54 Saudi Arabia 21.40 2014
55 Costa Rica 21.30 2014
56 Iran 21.00 2014
57 Guyana 20.60 2002
58 Morocco 20.30 2014
59 Mauritius 20.10 2014
60 Hungary 20.00 2014
61 Lithuania 19.60 2014
62 Indonesia 19.50 2013
63 Latvia 19.40 2014
63 Slovenia 19.40 2014
65 Estonia 19.30 2014
66 Tajikistan 19.20 2009
67 Palau 19.10 1995
68 United Kingdom 18.90 2014
69 Antigua and Barbuda 18.40 2001
70 Belize 18.00 2012
71 Argentina 16.70 2014
72 Turkey 16.60 2014
73 Sudan 16.00 2009
74 Uruguay 15.80 2013
75 Samoa 15.60 2012
76 Haiti 15.10 1999
76 Philippines 15.10 2013
78 Canada 15.00 2014
78 Sri Lanka 15.00 2013
78 Czech Republic 15.00 2014
81 Fiji 14.80 2007
82 Mongolia 14.70 2013
83 Colombia 14.60 2014
83 Zambia 14.60 2012
83 United States 14.60 2014
86 Venezuela 14.30 2012
86 New Zealand 14.30 2014
88 Australia 14.10 2014
89 Chile 13.90 2013
90 Malta 13.80 2014
91 Denmark 13.70 2014
92 Russia 13.30 2014
93 Iceland 12.90 2014
94 Belarus 12.40 2009
95 Brazil 12.30 2013
96 St. Kitts and Nevis 12.10 2001
97 Kyrgyz Republic 12.00 2013
97 Azerbaijan 12.00 2013
99 Kuwait 11.80 2005
99 El Salvador 11.80 2013
99 San Marino 11.80 2010
102 Suriname 11.60 2013
103 Nigeria 11.50 1986
104 Hong Kong SAR, China 11.30 2013
105 Korea 11.20 2014
105 Panama 11.20 2014
107 Austria 10.60 2014
108 Timor-Leste 10.40 2010
108 India 10.40 2012
110 Ghana 10.20 2010
110 Vanuatu 10.20 2009
112 Israel 10.10 2014
113 Paraguay 10.00 2014
114 Tonga 9.90 2003
115 Nicaragua 9.80 2010
116 Netherlands 9.70 2014
117 Moldova 9.60 2014
118 Pakistan 9.40 2014
119 Malaysia 9.30 2014
120 Bhutan 9.20 2013
120 Mexico 9.20 2014
122 Malawi 9.10 2013
122 Norway 9.10 2014
124 Switzerland 8.60 2014
125 Ecuador 8.40 2013
125 Seychelles 8.40 2011
127 Bangladesh 8.30 2010
127 Germany 8.30 2014
127 Senegal 8.30 2011
127 Peru 8.30 2013
131 United Arab Emirates 7.90 2008
131 Mali 7.90 2010
133 Trinidad and Tobago 7.70 2013
133 Zimbabwe 7.70 2011
135 Sierra Leone 7.30 2004
136 Monaco 6.60 2000
137 Guatemala 6.50 2013
138 Lao PDR 6.40 1995
138 Japan 6.40 2014
138 Cuba 6.40 2010
141 Macao SAR, China 5.90 2014
142 São Tomé and Principe 5.80 1991
143 Honduras 5.50 2011
144 Singapore 5.40 2013
145 Cameroon 5.30 2010
145 Vietnam 5.30 2013
147 Bolivia 5.10 2011
148 Ethiopia 5.00 2013
149 Burkina Faso 4.60 2006
150 Tanzania 4.50 2013
151 Niger 4.40 2007
152 Nepal 4.20 2008
153 Kazakhstan 3.60 2013
153 Rwanda 3.60 2012
155 Liberia 3.40 2010
156 Thailand 2.80 2013
157 Bahrain 2.60 2012
158 Madagascar 2.20 2012
159 Uganda 2.00 2013
160 Benin 1.50 2010
160 Guinea 1.50 2012
162 Burundi 1.00 1990
163 Cambodia 0.70 2010
164 Qatar 0.40 2013

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Development Relevance: 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. 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. In many developing countries women work on farms or in other family enterprises without pay and others work in or near their homes, mixing work and family activities during the day. Labor force statistics by gender is important to monitor gender disparities in unemployment patterns. In many developed economies, women have been increasingly acquiring higher education that has led to better-compensated, longer-term careers rather than lower-skilled, shorter-term jobs. However, access to good- paying occupations for women remains unequal in many occupations and countries around the world.

Limitations and Exceptions: Data on youth unemployment are drawn from labor force sample surveys and general household sample surveys, censuses, and official estimates, which are generally based on information from different sources and can be combined in many ways. Administrative records, such as social insurance statistics and employment office statistics, need to be treated with care because of their limitations in coverage. Labor force surveys generally yield the most comprehensive data because they include groups not covered in other unemployment statistics, particularly people seeking work for the first time. These surveys generally use a definition of unemployment that follows the international recommendations more closely than that used by other sources and therefore generate statistics that are more comparable internationally. But the age group, geographic coverage, and collection methods could differ by country or change over time within a country. For detailed information, consult the original source. The "youth" is defined as ages 15-24, but the lower age limit for young people in a country could be determined by the minimum age for leaving school, so age groups could differ across countries. Also, since this age group is likely to include school leavers, the level of youth unemployment varies considerably over the year as a result of different school opening and closing dates. The ILO definition of unemployment notwithstanding, reference periods, the criteria for people considered to be seeking work, and the treatment of people temporarily laid off or seeking work for the first time vary across countries. In many developing countries it is especially difficult to measure employment and unemployment in agriculture. The timing of a survey, for example, can maximize the effects of seasonal unemployment in agriculture. And informal sector employment is difficult to quantify where informal activities are not tracked. There may be persons not currently in the labour market who want to work but 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. The exclusion of people who want to work but are not seeking work (often called the "hidden unemployed" or "discouraged workers") is a criterion that will affect the count of both women and men although women may have a higher probability of being excluded from the count of unemployed because they suffer more from social barriers overall that impede them from meeting this criterion. There are situations where the conventional means of seeking work are of limited relevance - for example, in developing economies where the informal economy is rampant and where the labour force is largely self-employed. In such cases, the standard definition of unemployment would greatly undercount the untapped human resources of a country and would give a picture of the labour market that was more positive than reality would warrant.

Statistical Concept and Methodology: The standard definition of unemployed persons is those individuals without work, seeking work in a recent past period, and currently available for work. Persons who did not look for work but have an arrangements for a future job are counted as unemployed. It is the labour force or the economically active portion of the population that serves as the base for this indicator, not the total population. Data are based on labor force sample surveys, general household sample surveys, censuses, official estimates, and administrative records.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Data are based on labor force sample surveys, general household sample surveys, censuses, official estimates, and administrative records. The data may differ from the ILO estimates.