Unemployment, youth female (% of female 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 Yemen 74.00 2010
2 Syrian Arab Republic 71.10 2011
3 Libya 67.80 2012
4 Bosnia and Herzegovina 62.80 2012
5 Namibia 62.20 2013
6 Kiribati 61.80 2010
7 Greece 58.10 2014
8 Saudi Arabia 57.90 2014
9 South Africa 55.30 2014
10 Macedonia 55.00 2014
11 Spain 52.90 2014
12 Egypt 52.20 2013
13 The Gambia 49.50 2012
14 Jordan 48.80 2012
15 Swaziland 48.30 1997
16 Jamaica 48.10 2013
17 Dominican Republic 46.70 2013
18 Croatia 46.40 2014
19 Solomon Islands 46.10 1999
20 Italy 44.70 2014
21 Botswana 43.50 2010
22 Iran 42.80 2014
23 Cabo Verde 42.10 1990
24 Gabon 41.90 2010
24 Lesotho 41.90 2013
26 Tunisia 41.80 2012
27 Armenia 41.50 2013
28 St. Vincent and the Grenadines 41.40 2008
28 Algeria 41.40 2014
30 Serbia 41.30 2008
31 Montenegro 39.70 2012
32 Grenada 39.40 1998
33 Mozambique 38.70 2012
34 Georgia 36.40 2013
35 Belize 35.60 2012
36 Portugal 35.40 2014
37 St. Lucia 35.20 2007
38 Cyprus 34.60 2014
39 Mauritius 32.60 2014
40 The Bahamas 32.20 2012
41 Sudan 32.00 2009
42 Barbados 31.90 2013
43 Costa Rica 31.40 2014
44 Guyana 31.30 2002
45 Slovak Republic 30.10 2014
46 Sri Lanka 27.80 2013
47 Albania 26.10 2013
48 Poland 25.50 2014
49 Fiji 25.40 2007
49 Dominica 25.40 2001
51 Samoa 25.30 2012
52 Romania 24.70 2014
53 San Marino 24.50 2010
54 Colombia 24.30 2014
55 Uruguay 24.00 2013
56 Bulgaria 23.70 2014
57 Puerto Rico 23.10 2012
58 Timor-Leste 22.70 2010
59 Venezuela 22.60 2012
60 Ukraine 22.40 2014
60 Argentina 22.40 2014
62 Belgium 22.30 2014
62 Nigeria 22.30 1986
64 France 22.10 2014
65 United Arab Emirates 21.80 2008
66 Suriname 21.70 2013
67 Antigua and Barbuda 21.60 2001
68 Sweden 21.50 2014
68 Lebanon 21.50 2007
70 Indonesia 21.40 2013
71 Slovenia 21.30 2014
72 Haiti 21.10 1999
73 Hungary 20.90 2014
73 Ireland 20.90 2014
75 Turkey 20.20 2014
76 Latvia 20.00 2014
77 Chile 19.20 2013
78 Mongolia 19.10 2013
78 Morocco 19.10 2014
80 Senegal 19.00 2011
81 Lithuania 18.70 2014
81 Brazil 18.70 2013
81 Palau 18.70 1995
84 Finland 18.40 2014
85 Luxembourg 18.10 2014
86 Philippines 17.80 2013
86 Paraguay 17.80 2014
88 Czech Republic 17.10 2014
89 Cayman Islands 16.60 2013
90 Zambia 15.80 2012
90 Kyrgyz Republic 15.80 2013
90 New Zealand 15.80 2014
93 Ecuador 15.70 2013
94 Azerbaijan 15.60 2013
94 Nicaragua 15.60 2010
96 Tonga 15.10 2003
97 Panama 14.90 2014
98 United Kingdom 14.80 2014
99 Seychelles 14.20 2011
100 Russia 14.10 2014
100 Mali 14.10 2010
102 Honduras 13.80 2011
103 Tajikistan 13.70 2009
104 El Salvador 13.60 2013
105 São Tomé and Principe 13.50 1991
106 Pakistan 12.90 2014
107 Belarus 12.60 2009
108 Australia 12.50 2014
109 Bahrain 12.20 2012
109 United States 12.20 2014
111 Ghana 12.00 2010
112 Canada 11.90 2014
113 Malaysia 11.60 2014
113 India 11.60 2012
115 Denmark 11.50 2014
116 Trinidad and Tobago 11.40 2013
117 Netherlands 11.30 2014
118 Vanuatu 11.20 2009
119 Israel 11.10 2014
120 Mexico 10.30 2014
121 Moldova 10.20 2014
122 Kuwait 10.00 2005
122 Estonia 10.00 2014
124 Bhutan 9.90 2013
124 Austria 9.90 2014
126 St. Kitts and Nevis 9.80 2001
126 Zimbabwe 9.80 2011
128 Malta 9.60 2014
128 Ethiopia 9.60 2013
130 Peru 9.30 2013
131 Bangladesh 9.20 2010
131 Korea 9.20 2014
133 Singapore 9.00 2013
134 Switzerland 8.50 2014
135 Malawi 8.20 2013
136 Bolivia 7.80 2011
136 Hong Kong SAR, China 7.80 2013
138 Cameroon 7.50 2010
139 Monaco 7.40 2000
140 Tanzania 7.20 2013
141 Germany 7.10 2014
142 Vietnam 6.80 2013
143 Liberia 6.60 2010
143 Iceland 6.60 2014
143 Norway 6.60 2014
146 Qatar 6.20 2013
147 Guatemala 5.80 2013
148 Cuba 5.60 2010
149 Japan 5.40 2014
150 Rwanda 5.20 2012
151 Macao SAR, China 4.50 2014
152 Thailand 4.40 2013
153 Kazakhstan 4.30 2013
154 Lao PDR 3.90 1995
155 Sierra Leone 3.50 2004
156 Uganda 3.20 2013
157 Benin 3.10 2010
158 Madagascar 3.00 2012
159 Burkina Faso 2.90 2006
159 Nepal 2.90 2008
161 Niger 0.80 2007
162 Guinea 0.60 2012
163 Burundi 0.40 1990
163 Cambodia 0.40 2010

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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.