Employment in agriculture, male (% of male employment) (modeled ILO estimate) - Country Ranking

Definition: Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).

Source: International Labour Organization, ILOSTAT database. Data retrieved in November 2017.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Burundi 86.20 2017
2 Ethiopia 77.90 2017
3 Burkina Faso 77.50 2017
4 Lao PDR 73.30 2017
5 Chad 72.30 2017
6 Madagascar 72.10 2017
7 Uganda 68.30 2017
8 Somalia 66.60 2017
9 Niger 66.30 2017
10 Sierra Leone 65.00 2017
11 Tanzania 64.30 2017
12 Zimbabwe 63.80 2017
13 Mozambique 63.30 2017
13 Central African Republic 63.30 2017
15 Guinea 62.30 2017
16 Nepal 61.70 2017
17 Dem. People's Rep. Korea 61.30 2017
18 Rwanda 61.20 2017
19 Papua New Guinea 61.00 2017
20 Mali 59.90 2017
21 Vanuatu 59.70 2017
22 Malawi 59.00 2017
23 Afghanistan 57.40 2017
24 Haiti 57.20 2017
25 Cameroon 57.10 2017
26 Comoros 56.20 2017
27 Dem. Rep. Congo 55.10 2017
28 Togo 54.20 2017
29 Tonga 53.10 2017
30 Benin 52.20 2017
31 Bhutan 51.30 2017
32 Kenya 50.90 2017
33 Guinea-Bissau 49.40 2017
34 Lesotho 48.80 2017
35 Senegal 48.00 2017
36 Solomon Islands 46.00 2017
37 Timor-Leste 45.70 2017
37 Eritrea 45.70 2017
39 Ghana 45.50 2017
40 Tajikistan 45.00 2017
41 Côte d'Ivoire 44.70 2017
42 Cambodia 44.40 2017
42 Liberia 44.40 2017
44 Zambia 44.30 2017
44 Guatemala 44.30 2017
46 Georgia 43.90 2017
47 Honduras 41.60 2017
48 Vietnam 41.20 2017
49 India 39.30 2017
50 Nigeria 37.60 2017
51 Albania 36.60 2017
52 Thailand 35.90 2017
53 Sudan 35.80 2017
54 Pakistan 34.90 2017
55 Nicaragua 34.80 2017
56 Congo 34.60 2017
57 Philippines 34.10 2017
58 Morocco 32.70 2017
59 Bolivia 32.60 2017
60 Moldova 32.40 2017
61 Indonesia 32.20 2017
62 Azerbaijan 31.30 2017
63 Bangladesh 31.20 2017
64 Mauritania 31.10 2017
65 Armenia 30.90 2017
66 Namibia 30.50 2017
67 Uzbekistan 30.20 2017
67 Botswana 30.20 2017
69 El Salvador 29.80 2017
70 Mongolia 29.20 2017
71 Yemen 29.10 2017
72 Ecuador 28.80 2017
73 St. Vincent and the Grenadines 28.40 2017
74 Peru 28.20 2017
75 Kyrgyz Republic 27.60 2017
76 Sri Lanka 26.00 2017
76 São Tomé and Principe 26.00 2017
78 Djibouti 25.80 2017
79 Romania 25.70 2017
80 Jamaica 25.30 2017
81 Guyana 23.90 2017
82 Paraguay 23.80 2017
83 China 23.50 2017
84 Belize 23.10 2017
85 Serbia 21.80 2017
86 The Gambia 21.70 2017
87 Egypt 21.50 2017
88 Fiji 20.70 2017
89 Colombia 20.20 2017
90 Cabo Verde 19.40 2017
91 Dominican Republic 19.20 2017
91 Mexico 19.20 2017
93 Kazakhstan 19.00 2017
94 Panama 18.90 2017
94 St. Lucia 18.90 2017
96 Turkmenistan 18.70 2017
97 Bosnia and Herzegovina 18.60 2017
98 Macedonia 18.50 2017
99 Brazil 18.40 2017
100 Ukraine 18.10 2017
101 Cuba 17.80 2017
102 Syrian Arab Republic 16.80 2017
102 Venezuela 16.80 2017
104 Myanmar 16.50 2017
104 Libya 16.50 2017
106 Costa Rica 16.40 2017
107 Iraq 16.10 2017
108 Iran 15.90 2017
109 Turkey 15.40 2017
110 Tunisia 14.80 2017
111 Malaysia 14.60 2017
112 Belarus 13.30 2017
112 Greece 13.30 2017
114 Chile 12.80 2017
115 Uruguay 12.30 2017
116 Algeria 12.20 2017
117 Poland 11.90 2017
118 Lithuania 11.10 2017
119 Lebanon 10.70 2017
120 Croatia 10.50 2017
121 Latvia 10.30 2017
122 Portugal 10.10 2017
123 Gabon 9.20 2017
123 Slovenia 9.20 2017
125 Swaziland 8.90 2017
126 Bulgaria 8.60 2017
127 Russia 8.30 2017
127 Mauritius 8.30 2017
129 South Africa 8.00 2017
130 New Zealand 7.90 2017
131 Ireland 7.70 2017
132 Montenegro 7.10 2017
133 Saudi Arabia 6.70 2017
134 The Bahamas 6.60 2017
135 Trinidad and Tobago 6.20 2017
136 Samoa 6.10 2017
137 Iceland 6.00 2017
137 Finland 6.00 2017
139 Cyprus 5.80 2017
139 Hungary 5.80 2017
141 Spain 5.50 2017
141 Oman 5.50 2017
143 Estonia 5.20 2017
144 Equatorial Guinea 5.00 2017
145 Austria 4.90 2017
145 Korea 4.90 2017
147 Slovak Republic 4.60 2017
148 Suriname 4.40 2017
148 Italy 4.40 2017
150 Switzerland 4.30 2017
151 Barbados 4.20 2017
152 United Arab Emirates 4.00 2017
153 Japan 3.90 2017
154 Denmark 3.80 2017
155 France 3.70 2017
155 Kuwait 3.70 2017
157 Australia 3.60 2017
157 New Caledonia 3.60 2017
159 Puerto Rico 3.40 2017
160 Czech Republic 3.30 2017
160 Norway 3.30 2017
162 Argentina 3.20 2017
163 Canada 2.90 2017
163 Netherlands 2.90 2017
165 Sweden 2.70 2017
166 Jordan 2.20 2017
167 United States 2.10 2017
168 Luxembourg 1.80 2017
169 Malta 1.70 2017
169 Germany 1.70 2017
171 United Kingdom 1.60 2017
172 Israel 1.50 2017
172 Belgium 1.50 2017
174 Qatar 1.40 2017
175 Bahrain 1.30 2017
176 Angola 0.70 2017
176 Brunei 0.70 2017
178 Singapore 0.50 2017
179 Macao SAR, China 0.30 2017
180 Hong Kong SAR, China 0.20 2017

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Development Relevance: Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas. The breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment. Segregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.

Limitations and Exceptions: There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source. Countries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries. The ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of the three broad sectorsdata.

Statistical Concept and Methodology: The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity. The series is part of the ILO estimates and is harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Data up to 2016 are estimates while data from 2017 are projections.