Employment in agriculture (% of total 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 91.10 2017
2 Burkina Faso 80.00 2017
3 Lao PDR 78.30 2017
4 Chad 76.60 2017
5 Rwanda 75.00 2017
5 Mozambique 75.00 2017
7 Madagascar 74.20 2017
8 Nepal 72.60 2017
9 Central African Republic 72.20 2017
10 Uganda 72.00 2017
10 Somalia 72.00 2017
12 Ethiopia 70.50 2017
13 Malawi 69.90 2017
14 Guinea 69.70 2017
15 Papua New Guinea 68.30 2017
16 Sierra Leone 68.00 2017
17 Zimbabwe 67.50 2017
18 Tanzania 66.90 2017
19 Dem. Rep. Congo 65.30 2017
20 Togo 62.50 2017
21 Niger 62.30 2017
22 Comoros 62.00 2017
23 Kenya 61.90 2017
24 Cameroon 61.80 2017
25 Afghanistan 61.60 2017
26 Vanuatu 61.40 2017
27 Guinea-Bissau 60.10 2017
28 Dem. People's Rep. Korea 58.90 2017
29 Tajikistan 57.20 2017
30 Eritrea 57.00 2017
31 Mali 56.70 2017
32 Bhutan 56.60 2017
33 Côte d'Ivoire 56.00 2017
34 Zambia 54.80 2017
35 Senegal 51.40 2017
36 Timor-Leste 50.80 2017
37 Solomon Islands 48.10 2017
38 Haiti 46.90 2017
39 Liberia 45.30 2017
40 Georgia 44.70 2017
41 India 44.30 2017
42 Benin 43.20 2017
43 Cambodia 42.40 2017
44 Pakistan 42.10 2017
45 Ghana 41.90 2017
46 Vietnam 41.80 2017
47 Albania 41.40 2017
48 Congo 40.70 2017
49 Bangladesh 40.60 2017
50 Mauritania 40.30 2017
51 Lesotho 39.70 2017
52 Azerbaijan 36.70 2017
53 Armenia 35.00 2017
54 Thailand 34.00 2017
55 Tonga 33.30 2017
56 Sudan 32.90 2017
56 Yemen 32.90 2017
58 Morocco 32.60 2017
59 Guatemala 32.00 2017
60 Indonesia 31.40 2017
61 The Gambia 30.40 2017
62 Bolivia 29.50 2017
63 Honduras 29.40 2017
64 Kyrgyz Republic 29.20 2017
65 Namibia 29.10 2017
66 Uzbekistan 29.00 2017
67 Moldova 28.80 2017
68 Mongolia 28.40 2017
69 Nigeria 27.90 2017
70 Philippines 27.70 2017
71 Sri Lanka 27.40 2017
72 Cabo Verde 27.20 2017
73 China 27.00 2017
74 Botswana 25.70 2017
74 Ecuador 25.70 2017
76 Romania 25.50 2017
77 Egypt 25.40 2017
78 Peru 24.40 2017
79 Nicaragua 24.10 2017
80 Myanmar 23.60 2017
81 Djibouti 22.80 2017
82 São Tomé and Principe 22.20 2017
83 St. Vincent and the Grenadines 22.10 2017
84 Swaziland 22.00 2017
85 Fiji 21.30 2017
86 Iraq 20.40 2017
87 Paraguay 19.60 2017
87 Turkey 19.60 2017
89 Serbia 19.40 2017
90 Libya 19.10 2017
91 Equatorial Guinea 18.80 2017
92 El Salvador 18.60 2017
93 Syrian Arab Republic 18.50 2017
94 Guyana 18.40 2017
95 Kazakhstan 18.10 2017
96 Bosnia and Herzegovina 18.00 2017
97 Turkmenistan 17.90 2017
97 Jamaica 17.90 2017
99 Iran 16.60 2017
100 Gabon 16.20 2017
100 Macedonia 16.20 2017
102 Belize 16.10 2017
103 Ukraine 15.70 2017
104 Brazil 15.20 2017
105 St. Lucia 14.80 2017
106 Panama 14.50 2017
107 Colombia 13.50 2017
108 Mexico 13.40 2017
109 Dominican Republic 13.10 2017
110 Greece 12.90 2017
110 Cuba 12.90 2017
112 Venezuela 11.90 2017
113 Malaysia 11.80 2017
114 Tunisia 11.70 2017
115 Costa Rica 11.60 2017
116 Poland 10.90 2017
117 Algeria 10.80 2017
118 Chile 9.60 2017
118 Belarus 9.60 2017
120 Croatia 9.20 2017
121 Slovenia 8.90 2017
122 Uruguay 8.70 2017
122 Lithuania 8.70 2017
124 Lebanon 8.20 2017
125 Portugal 8.00 2017
126 Montenegro 7.50 2017
127 Mauritius 7.30 2017
127 Latvia 7.30 2017
129 Russia 6.80 2017
130 Bulgaria 6.50 2017
131 South Africa 6.10 2017
132 Saudi Arabia 5.90 2017
132 New Zealand 5.90 2017
134 Samoa 5.30 2017
135 Korea 5.00 2017
135 Oman 5.00 2017
137 Ireland 4.80 2017
138 Austria 4.70 2017
139 Hungary 4.30 2017
140 Angola 4.20 2017
140 Finland 4.20 2017
142 Cyprus 4.10 2017
142 Trinidad and Tobago 4.10 2017
144 Iceland 4.00 2017
145 Spain 3.90 2017
145 The Bahamas 3.90 2017
147 Estonia 3.80 2017
148 Japan 3.70 2017
149 Italy 3.50 2017
149 Switzerland 3.50 2017
149 United Arab Emirates 3.50 2017
152 Suriname 3.40 2017
153 Slovak Republic 3.30 2017
154 New Caledonia 3.00 2017
155 Barbados 2.80 2017
156 Australia 2.70 2017
156 France 2.70 2017
158 Kuwait 2.60 2017
159 Czech Republic 2.50 2017
160 Denmark 2.40 2017
161 Netherlands 2.20 2017
161 Norway 2.20 2017
163 Canada 2.10 2017
164 Argentina 2.00 2017
164 Jordan 2.00 2017
164 Puerto Rico 2.00 2017
167 Sweden 1.80 2017
168 United States 1.50 2017
169 Germany 1.40 2017
170 Luxembourg 1.30 2017
171 Belgium 1.20 2017
171 Qatar 1.20 2017
171 Malta 1.20 2017
171 United Kingdom 1.20 2017
175 Israel 1.00 2017
175 Bahrain 1.00 2017
177 Brunei 0.60 2017
178 Macao SAR, China 0.30 2017
178 Singapore 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.