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