Countries by Agriculture, forestry, and fishing, value added (constant LCU)
Iran, Islamic Rep. ranks first with an agriculture, forestry, and fishing value added of 8,165,671,623,726,800 constant LCU, a figure that dwarfs every other country in this ranking. At the opposite end, San Marino records just 213,789 constant LCU, placing 192nd. The gap between first and last exceeds 3,819,499,027,071% in spread, reflecting how deeply incomparable national currencies make direct cross-country comparison on this metric.
Ranking 2024
| Rank | Country | Value |
|---|---|---|
| 1 | Iran | 8,165,671,623,726,800 |
| 2 | Indonesia | 1,464,331,100,000,000 |
| 3 | Vietnam | 653,355,260,900,300 |
| 4 | Colombia | 63,058,000,000,000 |
| 5 | Nigeria | 59,312,569,103,900 |
| 6 | Uzbekistan | 38,074,596,555,300 |
| 7 | Tanzania | 35,615,307,719,100 |
| 8 | Uganda | 35,186,642,553,600 |
| 9 | South Korea | 33,452,800,000,000 |
| 10 | India | 24,768,049,898,000 |
| 11 | Paraguay | 23146119301482.7 |
| 12 | Cambodia | 21,538,851,372,600 |
| 13 | Laos | 20,582,559,000,000 |
| 14 | Guinea | 17,945,807,488,410 |
| 15 | Myanmar | 16,045,534,425,700 |
| 16 | Pakistan | 9,549,819,000,000 |
| 17 | China | 9,374,270,599,900 |
| 18 | Iraq | 8,463,273,700,000 |
| 19 | Chile | 7,821,728,125,800 |
| 20 | Côte d'Ivoire | 7,802,520,008,600 |
| 21 | Japan | 6,395,103,616,000 |
| 22 | Madagascar | 5,510,101,889,800 |
| 23 | Cameroon | 4,351,300,000,000 |
| 24 | Niger | 3,946,325,585,700 |
| 25 | Mali | 3924672409235.53 |
| 26 | Chad | 3,746,327,828,400 |
| 27 | Russia | 3,652,071,720,500 |
| 28 | Bangladesh | 3,621,407,239,600 |
| 29 | Benin | 2,935,200,000,000 |
| 30 | Angola | 2765993779491.16 |
| 31 | Mongolia | 2,761,111,270,000 |
| 32 | Rwanda | 2,634,967,220,900 |
| 33 | Lebanon | 2,605,944,000,000 |
| 34 | Senegal | 2,231,618,252,200 |
| 35 | DR Congo | 2,060,337,941,900 |
| 36 | Burkina Faso | 2,041,378,425,600 |
| 37 | Kenya | 1,867,490,000,000 |
| 38 | Philippines | 1,778,234,532,900 |
| 39 | Malawi | 1,727,085,274,800 |
| 40 | Costa Rica | 1,718,548,854,100 |
| 41 | Hungary | 1,658,266,371,000 |
| 42 | Algeria | 1216667901659.25 |
| 43 | Togo | 1057432279131.03 |
| 44 | Sri Lanka | 937103638455.48 |
| 45 | Egypt | 927659286167.7 |
| 46 | Kazakhstan | 856361713947.76 |
| 47 | Ethiopia | 827,880,365,800 |
| 48 | Mexico | 803,221,588,000 |
| 49 | Armenia | 733031153763.9 |
| 50 | Nepal | 705274697329.68 |
| 51 | Thailand | 686,354,000,000 |
| 52 | Gabon | 596092574279.34 |
| 53 | Burundi | 521631178483.11 |
| 54 | Republic of Congo | 392,203,474,000 |
| 55 | Afghanistan | 381,356,000,000 |
| 56 | Guinea-Bissau | 341,483,480,100 |
| 57 | Guyana | 325,786,000,000 |
| 58 | Serbia | 313,529,396,700 |
| 59 | Mozambique | 289,456,085,900 |
| 60 | Albania | 281,658,210,400 |
| 61 | Central African Republic | 258,404,072,100 |
| 62 | Brazil | 239137083642.2 |
| 63 | Ukraine | 236,173,437,700 |
| 64 | Dominican Republic | 227,649,334,400 |
| 65 | Comoros | 160,050,360,300 |
| 66 | Iceland | 141,503,939,000 |
| 67 | Jamaica | 128,234,000,000 |
| 68 | Türkiye | 127,559,518,400 |
| 69 | Uruguay | 125,993,427,600 |
| 70 | Equatorial Guinea | 122,009,491,200 |
| 71 | Czechia | 120,137,000,000 |
| 72 | Saudi Arabia | 117989050575.2 |
| 73 | South Africa | 114,791,642,100 |
| 74 | Morocco | 109369139034.37 |
| 75 | Malaysia | 103,457,529,000 |
| 76 | Syria | 89,234,000,000 |
| 77 | Haiti | 84,611,849,900 |
| 78 | Mauritania | 79,940,855,900 |
| 79 | Kyrgyzstan | 74,994,185,600 |
| 80 | Norway | 67,869,526,000 |
| 81 | Yemen | 65,419,257,100 |
| 82 | Sweden | 58,193,000,000 |
| 83 | Australia | 54,556,000,000 |
| 84 | Guatemala | 53,738,742,600 |
| 85 | Argentina | 51,067,612,000 |
| 86 | Poland | 47765066988.05 |
| 87 | Ghana | 41,254,515,200 |
| 88 | Canada | 39,602,851,000 |
| 89 | Peru | 35,375,000,000 |
| 90 | Spain | 32,069,000,000 |
| 91 | Italy | 31,905,200,000 |
| 92 | France | 29,764,200,000 |
| 93 | Honduras | 29,544,500,000 |
| 94 | Bolivia | 29210539274.79 |
| 95 | Nicaragua | 28,822,131,700 |
| 96 | Germany | 26,982,030,000 |
| 97 | Bhutan | 24,136,361,200 |
| 98 | Romania | 24109478192.04 |
| 99 | North Macedonia | 23,150,800,000 |
| 100 | Denmark | 21,744,161,000 |
| 101 | Sierra Leone | 21572780189.57 |
| 102 | Israel | 20,889,074,000 |
| 103 | New Zealand | 20,242,345,000 |
| 104 | Moldova | 18,589,741,000 |
| 105 | Mauritius | 18012784940.1 |
| 106 | Djibouti | 17,627,398,900 |
| 107 | Gambia | 16935107332.02 |
| 108 | Belarus | 15,914,300,000 |
| 109 | United Kingdom | 15,198,261,000 |
| 110 | Netherlands | 13,903,543,000 |
| 111 | Vanuatu | 13,378,000,000 |
| 112 | United Arab Emirates | 13,020,000,000 |
| 113 | Papua New Guinea | 11,141,297,300 |
| 114 | Namibia | 10,640,405,400 |
| 115 | Ecuador | 9,733,861,800 |
| 116 | Cabo Verde | 9,262,994,800 |
| 117 | Tunisia | 8,277,700,000 |
| 118 | Zambia | 7,154,845,600 |
| 119 | Zimbabwe | 6,362,672,600 |
| 120 | Greece | 6,317,862,000 |
| 121 | Sudan | 5,194,270,400 |
| 122 | Finland | 4,946,996,000 |
| 123 | Switzerland | 4,909,266,000 |
| 124 | Ireland | 4,879,876,000 |
| 125 | Bulgaria | 4,555,313,000 |
| 126 | Austria | 4,335,905,000 |
| 127 | Georgia | 4290078857.05 |
| 128 | Portugal | 4,269,046,000 |
| 129 | Eswatini | 3,802,461,700 |
| 130 | Belgium | 3,549,700,000 |
| 131 | Maldives | 3397750857.8 |
| 132 | Botswana | 3,248,100,800 |
| 133 | Solomon Islands | 2923263639.94 |
| 134 | Greenland | 2,225,900,000 |
| 135 | Azerbaijan | 2,186,960,700 |
| 136 | Panama | 2136603799.69 |
| 137 | Qatar | 2,047,000,000 |
| 138 | Tajikistan | 2,018,256,500 |
| 139 | Bosnia and Herzegovina | 2,000,604,400 |
| 140 | Croatia | 1,971,269,100 |
| 141 | Libya | 1,760,400,000 |
| 142 | Fiji | 1,725,300,000 |
| 143 | Jordan | 1,720,202,600 |
| 144 | South Sudan | 1,655,413,800 |
| 145 | Lithuania | 1,619,749,000 |
| 146 | Liberia | 1,493,445,000 |
| 147 | Slovakia | 1,438,976,000 |
| 148 | Lesotho | 1,415,256,900 |
| 149 | El Salvador | 1,320,493,000 |
| 150 | Hong Kong | 1,057,000,000 |
| 151 | Latvia | 1,046,076,000 |
| 152 | Oman | 1,028,300,000 |
| 153 | Suriname | 914415133.53 |
| 154 | Slovenia | 841,871,000 |
| 155 | Cuba | 840,000,000 |
| 156 | Seychelles | 689,623,200 |
| 157 | Trinidad and Tobago | 679,987,700 |
| 158 | Palestine | 660,000,000 |
| 159 | Kosovo | 653037869.02 |
| 160 | Belize | 445,931,900 |
| 161 | Estonia | 444,604,000 |
| 162 | Timor-Leste | 331069633.55 |
| 163 | Cyprus | 325,057,000 |
| 164 | Dominica | 233,990,000 |
| 165 | Barbados | 228,600,000 |
| 166 | Sao Tome and Principe | 227,902,100 |
| 167 | Kuwait | 225,700,000 |
| 168 | Montenegro | 200,379,200 |
| 169 | Tonga | 196273309.29 |
| 170 | Samoa | 183,241,400 |
| 171 | Brunei | 169406403.34 |
| 172 | Singapore | 162,600,000 |
| 173 | Luxembourg | 155,497,000 |
| 174 | Saint Vincent and the Grenadines | 93,250,000 |
| 175 | Malta | 88483406.69 |
| 176 | Grenada | 87,610,000 |
| 177 | Bahamas | 85,800,000 |
| 178 | Kiribati | 82694522.52 |
| 179 | Saint Lucia | 81,370,000 |
| 180 | Antigua and Barbuda | 80,100,000 |
| 181 | Micronesia | 57,164,600 |
| 182 | Marshall Islands | 45306833.74 |
| 183 | Bahrain | 42,895,600 |
| 184 | Saint Kitts and Nevis | 22,200,000 |
| 185 | Isle of Man | 17630464.73 |
| 186 | Cayman Islands | 17028997.19 |
| 187 | Bermuda | 14,373,000 |
| 188 | Andorra | 13,900,000 |
| 189 | Palau | 8299531.74 |
| 190 | Turks and Caicos Islands | 5,482,000 |
| 191 | Aruba | 1638064.93 |
| 192 | San Marino | 213789.07 |
Analysis
This metric measures the contribution of agriculture, forestry, and fishing to each country's economy in constant local currency units (LCU). According to the World Bank World Development Indicators (indicator code NV.AGR.TOTL.KN), 'Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats. Value added is the contribution to the economy by a producer or a' sector. Values are expressed in each country's own constant LCU, meaning figures are not converted to a common currency and cannot be directly compared across countries. Coverage spans 192 countries, with 190 out of 192 (99.0%) having data from the last seven years, 100% of datapoints classified as official, and 10 extreme outliers identified at the 3-sigma threshold. The consistency rate for the latest year (2024) stands at 89.1%, with 171 of 192 countries reporting.
Iran, Islamic Rep. leads by an extraordinary margin at rank 1 with 8,165,671,623,726,800 constant LCU, more than five times the value of second-ranked Indonesia (1,464,331,100,000,000 constant LCU). Viet Nam places third at 653,355,260,900,300 constant LCU. Colombia (rank 4, 63,058,000,000,000) and Nigeria (rank 5, 59,312,569,103,900) follow, with both values orders of magnitude below the top three. Further down, India ranks 10th at 24,768,049,898,000 constant LCU despite its large agricultural workforce, while China places 17th at 9,374,270,599,900. High rankings in constant LCU terms reflect a combination of sector scale, currency denomination, and base-year price levels rather than sector size in any internationally comparable sense.
Several counterintuitive placements appear in the middle of the ranking. Korea, Rep. ranks 9th at 33,452,800,000,000 constant LCU, placing above India (rank 10) and China (rank 17), which are widely regarded as having far larger agricultural sectors by most other measures. Similarly, Paraguay ranks 11th at 23,146,119,301,482.70 constant LCU, above Cambodia (rank 12) and Lao PDR (rank 13). Brazil, one of the world's largest agricultural producers by output volume, ranks only 62nd at 239,137,083,642.20 constant LCU. At the lower end of the ranking, small island economies and territories such as Aruba (rank 191, 1,638,064.93 constant LCU) and San Marino (rank 192, 213,789.07 constant LCU) report minimal values consistent with their limited agricultural land base.
The most significant limitation of this metric is that values are expressed in constant local currency units and are not converted to a common currency. This makes all cross-country comparisons unreliable as indicators of actual agricultural sector size or productivity. A country with a high-denomination currency or a high historical price level in its base year will mechanically produce larger LCU values. Iran's position at rank 1 is a clear illustration of this: its value of over 8 quadrillion LCU reflects currency scale as much as sector output. Additionally, the source note definition is incomplete as supplied, ending mid-sentence, which introduces some ambiguity about what is fully included. Reporting gaps exist for 21 of 192 countries in the latest year (2024), and 10 extreme outliers were flagged at the 3-sigma threshold, suggesting the data distribution is highly skewed.
Methodology
Data are drawn from the World Bank World Development Indicators, indicator code NV.AGR.TOTL.KN, for the reference year 2024. The metric captures agriculture, forestry, and fishing value added in constant local currency units (LCU). Per the source definition: 'Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats. Value added is the contribution to the economy by a producer or a' sector. Values are in each country's own constant LCU and are not comparable across countries. The ranking covers 192 countries. Data recency is high: 190 of 192 countries (99.0%) have data from within the last seven years. All datapoints (100%) are classified as official-quality. Consistency for the 2024 reference year is 89.1%, with 171 of 192 countries reporting. Ten extreme outliers were identified at the 3-sigma threshold. The value range spans from 213,789.07 to 8,165,671,623,726,800 constant LCU, a spread of over 3,819,499,027,071%, driven primarily by differences in national currency denominations and base-year price levels rather than underlying sector differences.