Countries by Agriculture, forestry, and fishing, value added (constant 2015 US$)
China ranks 1st in agriculture, forestry, and fishing value added at $1.316 trillion (constant 2015 US$), more than 2.5 times the value of 2nd-ranked India at $521.4 billion. At the other end, San Marino ranks 200th at just $262,294. The gap of over five orders of magnitude reflects the vast differences in land area, rural population size, and sector scale across the 200 countries covered.
Ranking 2024
| Rank | Country | Value |
|---|---|---|
| 1 | China | 1316428868436.22 |
| 2 | India | 521438485159.93 |
| 3 | United States | 188,238,199,000 |
| 4 | Indonesia | 145192356253.16 |
| 5 | Nigeria | 128688236931.37 |
| 6 | Brazil | 98787024660.29 |
| 7 | Pakistan | 91568707113.02 |
| 8 | Türkiye | 72835608206.33 |
| 9 | Russia | 59705039651.66 |
| 10 | Egypt | 51329849410.3 |
| 11 | Iran | 50241858665.97 |
| 12 | Vietnam | 46178570342.09 |
| 13 | Japan | 44359892772.59 |
| 14 | Mexico | 41074250269.37 |
| 15 | Thailand | 39680030399.78 |
| 16 | Bangladesh | 38419027118.32 |
| 17 | Australia | 36693579339.35 |
| 18 | Ethiopia | 35503811843.5 |
| 19 | Philippines | 35492483049.16 |
| 20 | Italy | 33680270586.28 |
| 21 | Spain | 33551235315.72 |
| 22 | Uzbekistan | 33227794912.05 |
| 23 | Canada | 30727699190.58 |
| 24 | France | 28595254119.49 |
| 25 | Argentina | 28406248459.6 |
| 26 | South Korea | 27128182178.74 |
| 27 | Germany | 26646073703.47 |
| 28 | Malaysia | 26490254241.85 |
| 29 | Saudi Arabia | 24719865098.45 |
| 30 | Algeria | 23418354789.91 |
| 31 | Colombia | 22998913720.58 |
| 32 | United Kingdom | 19465798461.93 |
| 33 | Angola | 17943176682.66 |
| 34 | Tanzania | 17897971300.7 |
| 35 | Peru | 17465914348.56 |
| 36 | Kenya | 16990259321.04 |
| 37 | Ghana | 15608427331.57 |
| 38 | Netherlands | 14869839530.3 |
| 39 | Côte d'Ivoire | 13197506130.2 |
| 40 | Iraq | 12825412159.61 |
| 41 | Poland | 12671459606.86 |
| 42 | Sudan | 12606866285.33 |
| 43 | Myanmar | 12196986717.13 |
| 44 | Morocco | 12049605787.07 |
| 45 | Kazakhstan | 11655184524.43 |
| 46 | Uganda | 11112175836.89 |
| 47 | Yemen | 10575089483.77 |
| 48 | Chile | 10518973343.96 |
| 49 | Ecuador | 10190302436.79 |
| 50 | Ukraine | 9856459656.28 |
| 51 | South Africa | 9002769990.53 |
| 52 | New Zealand | 8878793642.16 |
| 53 | Romania | 8623853837.05 |
| 54 | Nepal | 8409954933.4 |
| 55 | Guatemala | 7407603791.17 |
| 56 | Cameroon | 7178268037.2 |
| 57 | Sri Lanka | 6893621318.05 |
| 58 | Chad | 6853060169.25 |
| 59 | Greece | 6852292668.99 |
| 60 | Niger | 6674978859.6 |
| 61 | Mali | 6638353778.37 |
| 62 | Norway | 6398801305.48 |
| 63 | DR Congo | 6125876783.58 |
| 64 | Sweden | 6059261800 |
| 65 | Cambodia | 5299500067.61 |
| 66 | Czechia | 5286649790.48 |
| 67 | Mozambique | 5249849030.78 |
| 68 | Benin | 4964719084.43 |
| 69 | Finland | 4953974770.16 |
| 70 | Hungary | 4775959584.49 |
| 71 | Israel | 4741876290.84 |
| 72 | Dominican Republic | 4741637682.7 |
| 73 | Ireland | 4728377725.02 |
| 74 | Austria | 4725313583.24 |
| 75 | Papua New Guinea | 4566807251.42 |
| 76 | Afghanistan | 4563471480.42 |
| 77 | Azerbaijan | 4521960332.67 |
| 78 | Bolivia | 4495636838.3 |
| 79 | Switzerland | 4386541647.23 |
| 80 | Syria | 4358245297.48 |
| 81 | Tunisia | 4219766710.25 |
| 82 | Portugal | 4059420288.57 |
| 83 | Belarus | 4029372363.66 |
| 84 | United Arab Emirates | 3954580574.02 |
| 85 | Uruguay | 3935573368.09 |
| 86 | Senegal | 3918350087.86 |
| 87 | Paraguay | 3785454631.12 |
| 88 | Burkina Faso | 3452872181.84 |
| 89 | Madagascar | 3440712234.18 |
| 90 | Turkmenistan | 3331714285.71 |
| 91 | Belgium | 3298174751.22 |
| 92 | Guinea | 3224235663.62 |
| 93 | Costa Rica | 3117313609.48 |
| 94 | Sierra Leone | 3112568278.57 |
| 95 | Laos | 3110217079.51 |
| 96 | Oman | 3005665825.98 |
| 97 | Honduras | 2905694790 |
| 98 | Rwanda | 2891558923.61 |
| 99 | Tajikistan | 2647965075.7 |
| 100 | Bulgaria | 2567458136.78 |
| 101 | Nicaragua | 2559750240.64 |
| 102 | Malawi | 2512463430.32 |
| 103 | Jordan | 2372145713.26 |
| 104 | Panama | 2305957644.16 |
| 105 | Zimbabwe | 2218522246.75 |
| 106 | Serbia | 2214026729.04 |
| 107 | Albania | 2072577426.59 |
| 108 | Haiti | 2069528067.64 |
| 109 | Denmark | 1980684570.94 |
| 110 | Croatia | 1895259095.3 |
| 111 | Lebanon | 1801929946.57 |
| 112 | Mauritania | 1779862335.23 |
| 113 | Libya | 1779549179.76 |
| 114 | Slovakia | 1734637212.22 |
| 115 | Togo | 1701053705.57 |
| 116 | Georgia | 1565602183.73 |
| 117 | Liberia | 1482424221.94 |
| 118 | Lithuania | 1460929427.15 |
| 119 | Guyana | 1451754351.42 |
| 120 | Mongolia | 1401359399.07 |
| 121 | Cuba | 1366886411.22 |
| 122 | El Salvador | 1366301437.2 |
| 123 | Armenia | 1349030170.76 |
| 124 | Gabon | 1255055649.24 |
| 125 | South Sudan | 1242375561.84 |
| 126 | Kyrgyzstan | 1147712285.72 |
| 127 | Burundi | 1105121198.67 |
| 128 | Jamaica | 1096300145.6 |
| 129 | Iceland | 1082837197.3 |
| 130 | Bosnia and Herzegovina | 1045377611.25 |
| 131 | Moldova | 987845242.51 |
| 132 | Republic of Congo | 943256425.55 |
| 133 | Latvia | 930102284.91 |
| 134 | Slovenia | 884111164.24 |
| 135 | Puerto Rico | 854,900,000 |
| 136 | Kuwait | 828180122.13 |
| 137 | Zambia | 827706783.72 |
| 138 | Namibia | 825995237.82 |
| 139 | North Macedonia | 698790872.1 |
| 140 | Central African Republic | 684646941.73 |
| 141 | Palestine | 660,000,000 |
| 142 | Greenland | 586348712.94 |
| 143 | Guinea-Bissau | 577599329.06 |
| 144 | Qatar | 557876430.01 |
| 145 | Kosovo | 531036068.54 |
| 146 | Mauritius | 529593581.17 |
| 147 | Fiji | 475015271.79 |
| 148 | Gambia | 438793909.09 |
| 149 | Comoros | 434422435.69 |
| 150 | Estonia | 423563191.2 |
| 151 | Solomon Islands | 417486844.76 |
| 152 | Faroe Islands | 403186310.39 |
| 153 | Cyprus | 331860353.79 |
| 154 | Timor-Leste | 331069628.34 |
| 155 | Bhutan | 313113810.02 |
| 156 | Botswana | 304105259.79 |
| 157 | Suriname | 267633671.51 |
| 158 | Equatorial Guinea | 267294371.54 |
| 159 | Eswatini | 249495383.88 |
| 160 | Belize | 232098280.99 |
| 161 | Montenegro | 209574395.67 |
| 162 | Maldives | 207888224.57 |
| 163 | Vanuatu | 192772873.22 |
| 164 | French Polynesia | 171942760.92 |
| 165 | New Caledonia | 167191625.31 |
| 166 | Hong Kong | 154133689.2 |
| 167 | Brunei | 152124848.09 |
| 168 | Lesotho | 134051213.39 |
| 169 | Luxembourg | 133514486.32 |
| 170 | Bahrain | 128885644.16 |
| 171 | Trinidad and Tobago | 120195013.09 |
| 172 | Singapore | 118269597.95 |
| 173 | Djibouti | 104868115.66 |
| 174 | Cabo Verde | 93202496.53 |
| 175 | Barbados | 92535686.27 |
| 176 | Bahamas | 83296780.68 |
| 177 | Tonga | 81447343.48 |
| 178 | Micronesia | 71086522.41 |
| 179 | Samoa | 67914390.6 |
| 180 | Dominica | 66247004.49 |
| 181 | Malta | 60812428.99 |
| 182 | Kiribati | 58303330.24 |
| 183 | Seychelles | 49971789.77 |
| 184 | Marshall Islands | 45306833.74 |
| 185 | Saint Lucia | 38982973.54 |
| 186 | Grenada | 36713003.2 |
| 187 | Saint Vincent and the Grenadines | 31529898.19 |
| 188 | Antigua and Barbuda | 27044624.97 |
| 189 | Isle of Man | 26935450.93 |
| 190 | Sao Tome and Principe | 26870226.62 |
| 191 | Cayman Islands | 20434878.36 |
| 192 | Andorra | 15640304.18 |
| 193 | Bermuda | 15167110.5 |
| 194 | Saint Kitts and Nevis | 8719213.41 |
| 195 | Palau | 7978660.01 |
| 196 | Turks and Caicos Islands | 7958666.88 |
| 197 | Curaçao | 6299308.83 |
| 198 | Tuvalu | 5859107.95 |
| 199 | Aruba | 834426.5 |
| 200 | San Marino | 262294.06 |
Analysis
This metric measures the output of agriculture, forestry, and fishing as a contribution to each country's economy in constant 2015 US dollars, allowing comparisons across time without the distortion of inflation. According to the World Bank World Development Indicators (indicator code NV.AGR.TOTL.KD), 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. The ranking covers 200 countries, with 190 out of 200 (95%) having data from the last seven years, and 100% of datapoints rated as official quality. Twenty extreme outliers were identified at the 3-sigma threshold, and the average year-over-year change across the dataset is 6.8%.
The top of the ranking is concentrated among large, populous nations with extensive agricultural land. China (rank 1, $1.316 trillion) leads by a wide margin, followed by India (rank 2, $521.4 billion) and the United States (rank 3, $188.2 billion). Indonesia (rank 4, $145.2 billion) and Nigeria (rank 5, $128.7 billion) follow, demonstrating that high absolute value added is not limited to high-income countries. Brazil (rank 6, $98.8 billion), Pakistan (rank 7, $91.6 billion), and Turkiye (rank 8, $72.8 billion) round out the upper tier. Countries in this group combine large rural workforces, substantial cultivated land, and diverse agricultural outputs.
The middle of the ranking reveals some notable placements. Uzbekistan ranks 22nd at $33.2 billion, ahead of Canada (rank 23, $30.7 billion) and France (rank 24, $28.6 billion), reflecting the scale of Central Asian crop and livestock production relative to wealthier but smaller agricultural sectors. Norway ranks 62nd at $6.4 billion, driven by its significant fishing industry. At the lower end, small island states and city-states cluster near the bottom: Singapore ranks 172nd at $118.3 million, Hong Kong SAR ranks 166th at $154.1 million, and Bahrain ranks 170th at $128.9 million. San Marino sits last at $262,294, reflecting an essentially non-agricultural domestic economy.
Several limitations apply to this metric. Because values are reported in constant 2015 US dollars, exchange rate movements and deflator methodologies can affect cross-country comparability. The data year is 2024, but only 171 out of 200 countries (85.5%) have data from the latest year specifically, meaning some values are carried forward or estimated. The metric measures value added in monetary terms, not physical output or food security, so a country with high-value export crops may rank above a country with large subsistence agriculture that is poorly captured in national accounts. Informal and subsistence agricultural activity, which is prevalent in lower-income countries, may be systematically undercounted. The extreme range of values, from $262,294 to $1.316 trillion, a spread of over 501 billion percent, underscores how sensitive rankings are to country size and economic structure rather than agricultural productivity alone.
Methodology
Data are sourced from the World Bank World Development Indicators, indicator code NV.AGR.TOTL.KD, for data year 2024. The metric is agriculture, forestry, and fishing value added in constant 2015 US dollars. 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. The ranking covers 200 countries. Of these, 190 out of 200 (95%) have data from the last seven years, and 100% of datapoints are classified as official quality. Data for the latest year (2024) is available for 171 out of 200 countries (85.5%), with the remainder using the most recent available year. Twenty extreme outliers were detected at the 3-sigma threshold. The average year-over-year change across countries is 6.8%, indicating moderate volatility. Values range from $262,294 (San Marino, rank 200) to $1.316 trillion (China, rank 1), a spread that reflects differences in country size, rural population, and economic structure rather than productivity alone. Higher values indicate greater absolute contribution of the agriculture, forestry, and fishing sector to the national economy.