DEFINITION
Workers per hectare of cropland 2000. Agricultural
labor intensity, number of
workers per hectare shows the
labor input intensity of
agricultural systems. It is calculated by WRI by dividing the number of
agricultural workers by the number of hectares of
arable and permanent cropland. Values vary widely among countries according to
labor scarcity, production technologies, costs of
energy and machinery, etc.
| Rank |
Countries
|
Amount
(top to bottom)
|
| #1 | Bhutan: | 5.9 | |
| #2 | Bangladesh: | 4.6 | |
| #3 | China: | 3.8 | |
| #4 | Vietnam: | 3.7 | |
| #5 | Nepal: | 3.4 | |
| #6 | Oman: | 3.2 | |
| #7 | Rwanda: | 3.2 | |
| #8 | Singapore: | 3 | |
| #9 | Eritrea: | 2.8 | |
| #10 | Solomon Islands: | 2.7 | |
| #11 | Egypt: | 2.6 | |
| #12 | Kenya: | 2.6 | |
| #13 | Somalia: | 2.5 | |
| #14 | Burundi: | 2.4 | |
| #15 | Haiti: | 2.4 | |
| #16 | Congo, Democratic Republic of the: | 2.3 | |
| #17 | Guinea: | 2.3 | |
| #18 | Gambia, The: | 2.2 | |
| #19 | Laos: | 2.1 | |
| #20 | Ethiopia: | 2.1 | |
| #21 | Malawi: | 2 | |
| #22 | Papua New Guinea: | 2 | |
| #23 | Sri Lanka: | 2 | |
| #24 | Mozambique: | 1.9 | |
| #25 | Iceland: | 1.9 | |
| #26 | Sierra Leone: | 1.8 | |
| #27 | Burma: | 1.7 | |
| #28 | Korea, North: | 1.7 | |
| #29 | Yemen: | 1.7 | |
| #30 | India: | 1.6 | |
| #31 | Madagascar: | 1.6 | |
| #32 | Indonesia: | 1.5 | |
| #33 | Senegal: | 1.3 | |
| #34 | Liberia: | 1.3 | |
| #35 | Guinea-Bissau: | 1.3 | |
| #36 | Angola: | 1.3 | |
| #37 | Burkina Faso: | 1.3 | |
| #38 | Uganda: | 1.3 | |
| #39 | Mauritania: | 1.2 | |
| #40 | Philippines: | 1.2 | |
| #41 | Thailand: | 1.2 | |
| #42 | Cambodia: | 1.2 | |
| #43 | Zimbabwe: | 1.1 | |
| #44 | Albania: | 1.1 | |
| #45 | Pakistan: | 1.1 | |
| #46 | Lesotho: | 1 | |
| #47 | Niger: | 1 | |
| #48 | El Salvador: | 1 | |
| #49 | Jamaica: | 1 | |
| #50 | Mali: | 1 | |
| #51 | Guatemala: | 1 | |
| #52 | Ghana: | 0.9 | |
| #53 | Kuwait: | 0.9 | |
| #54 | Tajikistan: | 0.9 | |
| #55 | Botswana: | 0.8 | |
| #56 | Colombia: | 0.8 | |
| #57 | Chad: | 0.8 | |
| #58 | Afghanistan: | 0.7 | |
| #59 | Bolivia: | 0.7 | |
| #60 | Benin: | 0.7 | |
| #61 | Peru: | 0.7 | |
| #62 | Equatorial Guinea: | 0.6 | |
| #63 | Zambia: | 0.6 | |
| #64 | Central African Republic: | 0.6 | |
| #65 | Japan: | 0.6 | |
| #66 | Costa Rica: | 0.6 | |
| #67 | Uzbekistan: | 0.6 | |
| #68 | Azerbaijan: | 0.5 | |
| #69 | Cameroon: | 0.5 | |
| #70 | Nigeria: | 0.5 | |
| #71 | Fiji: | 0.5 | |
| #72 | Honduras: | 0.5 | |
| #73 | Georgia: | 0.5 | |
| #74 | Turkey: | 0.5 | |
| #75 | Sudan: | 0.5 | |
| #76 | Jordan: | 0.4 | |
| #77 | Panama: | 0.4 | |
| #78 | Chile: | 0.4 | |
| #79 | Morocco: | 0.4 | |
| #80 | Dominican Republic: | 0.4 | |
| #81 | Cote d'Ivoire: | 0.4 | |
| #82 | Ecuador: | 0.4 | |
| #83 | Kyrgyzstan: | 0.4 | |
| #84 | Gabon: | 0.4 | |
| #85 | Suriname: | 0.4 | |
| #86 | Switzerland: | 0.4 | |
| #87 | Turkmenistan: | 0.4 | |
| #88 | Trinidad and Tobago: | 0.4 | |
| #89 | Togo: | 0.4 | |
| #90 | Namibia: | 0.4 | |
| #91 | Armenia: | 0.4 | |
| #92 | Poland: | 0.3 | |
| #93 | Netherlands: | 0.3 | |
| #94 | Serbia and Montenegro: | 0.3 | |
| #95 | Mexico: | 0.3 | |
| #96 | Algeria: | 0.3 | |
| #97 | Paraguay: | 0.3 | |
| #98 | Belize: | 0.3 | |
| #99 | United Arab Emirates: | 0.3 | |
| #100 | Mongolia: | 0.3 | |
| #101 | Macedonia, The Former Yugoslav Republic of: | 0.2 | |
| #102 | Saudi Arabia: | 0.2 | |
| #103 | Cuba: | 0.2 | |
| #104 | Portugal: | 0.2 | |
| #105 | Ireland: | 0.2 | |
| #106 | Brazil: | 0.2 | |
| #107 | Greece: | 0.2 | |
| #108 | Malaysia: | 0.2 | |
| #109 | Israel: | 0.2 | |
| #110 | Romania: | 0.2 | |
| #111 | Slovakia: | 0.2 | |
| #112 | Venezuela: | 0.2 | |
| #113 | Tunisia: | 0.2 | |
| #114 | Kazakhstan: | 0.1 | |
| #115 | South Africa: | 0.1 | |
| #116 | Austria: | 0.1 | |
| #117 | Norway: | 0.1 | |
| #118 | Bosnia and Herzegovina: | 0.1 | |
| #119 | United Kingdom: | 0.1 | |
| #120 | Belarus: | 0.1 | |
| #121 | Latvia: | 0.1 | |
| #122 | Bulgaria: | 0.1 | |
| #123 | New Zealand: | 0.1 | |
| #124 | Estonia: | 0.1 | |
| #125 | Spain: | 0.1 | |
| #126 | Czech Republic: | 0.1 | |
| #127 | Uruguay: | 0.1 | |
| #128 | Finland: | 0.1 | |
| #129 | Lebanon: | 0.1 | |
| #130 | Germany: | 0.1 | |
| #131 | Argentina: | 0.1 | |
| #132 | Guyana: | 0.1 | |
| #133 | Nicaragua: | 0.1 | |
| #134 | Croatia: | 0.1 | |
| #135 | Russia: | 0.1 | |
| #136 | Hungary: | 0.1 | |
| #137 | Slovenia: | 0.1 | |
| #138 | Italy: | 0.1 | |
| #139 | Sweden: | 0.1 | |
| #140 | Iraq: | 0.1 | |
| #141 | Ukraine: | 0.1 | |
| #142 | Lithuania: | 0.1 | |
| #143 | Australia: | 0.05 | |
| #144 | Canada: | 0.05 | |
| #145 | United States: | 0.05 | |
| #146 | Denmark: | 0 | |
| #147 | France: | 0 | |
| #148 | Libya: | 0 | |
| |
Weighted average: |
0.9 |
|
DEFINITION: Workers per hectare of cropland 2000. Agricultural
labor intensity, number of
workers per hectare shows the
labor input intensity of
agricultural systems. It is calculated by WRI by dividing the number of
agricultural workers by the number of hectares of
arable and permanent cropland. Values vary widely among countries according to
labor scarcity, production technologies, costs of
energy and machinery, etc.