Value Added (Agriculture) — Annual growth US$ by country
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages...
What the numbers show
Value Added (Agriculture) — Annual growth US$ is currently reported for 83 countries. The highest value is 78.33 % in Zambia; the lowest is -35.21 % in Denmark.
The median across all reporting countries is 6.2 %, and the mean is 7.86 %.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 51 countries rose and 31 fell. The largest increase was in Seychelles (up 5,451.1%), and the largest decrease in Nigeria (down 484.3%).
Value Added (Agriculture) — Annual growth US$: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Zambia | 78.33 % | 2022 | up 1,290.3% | volatile |
| 2 | Seychelles | 49.65 % | 2022 | up 5,451.1% | volatile |
| 3 | Estonia | 47.59 % | 2022 | up 624.4% | volatile |
| 4 | United States | 41.41 % | 2021 | up 62.1% | volatile |
| 5 | Belarus | 35.19 % | 2022 | up 36.6% | volatile |
| 6 | Liberia | 28.84 % | 2022 | up 511.2% | volatile |
| 7 | United Kingdom of Great Britain and Northern Ireland | 25.95 % | 2021 | up 7.4% | volatile |
| 7 | United Kingdom | 25.95 % | 2021 | up 7.4% | volatile |
| 9 | Ireland | 25.34 % | 2021 | down 49.3% | volatile |
| 10 | Colombia | 25.01 % | 2022 | up 3,488.9% | volatile |
| 11 | Czechia | 22.78 % | 2022 | up 179.2% | volatile |
| 12 | Luxembourg | 19.54 % | 2022 | up 40.7% | volatile |
| 13 | Sweden | 19 % | 2021 | up 7.3% | volatile |
| 14 | Guatemala | 18.2 % | 2023 | up 223.2% | volatile |
| 15 | Belize | 17.73 % | 2022 | down 31.0% | volatile |
| 16 | Slovenia | 17.6 % | 2022 | up 169.5% | volatile |
| 17 | Latvia | 16.38 % | 2021 | up 120.7% | volatile |
| 18 | Mexico | 14.97 % | 2022 | up 189.1% | volatile |
| 19 | Brazil | 14.31 % | 2016 | down 14.4% | volatile |
| 20 | Costa Rica | 14.22 % | 2023 | up 1,552.4% | volatile |
| 21 | France | 12.92 % | 2021 | up 14.3% | volatile |
| 22 | Gambia | 12.31 % | 2023 | up 155.3% | volatile |
| 23 | Mozambique | 12.18 % | 2023 | up 608.5% | volatile |
| 24 | Spain | 11.94 % | 2021 | up 1,949.4% | volatile |
| 25 | Norway | 11.81 % | 2021 | up 311.9% | volatile |
| 26 | Peru | 11.28 % | 2023 | up 955.6% | volatile |
| 27 | Portugal | 11.07 % | 2021 | up 227.6% | volatile |
| 28 | Uzbekistan | 10.7 % | 2023 | up 196.7% | volatile |
| 29 | Germany | 10.17 % | 2021 | down 63.2% | volatile |
| 30 | Georgia | 9.79 % | 2023 | down 31.7% | volatile |
| 31 | Sri Lanka | 9.59 % | 2023 | up 27.7% | volatile |
| 32 | United Republic of Tanzania | 9.53 % | 2023 | down 25.8% | volatile |
| 33 | Iceland | 9.37 % | 2022 | up 490.0% | volatile |
| 34 | Eswatini | 8.83 % | 2022 | up 56.4% | volatile |
| 35 | Austria | 8.81 % | 2022 | up 204.5% | volatile |
| 36 | Senegal | 8.49 % | 2021 | up 360.7% | volatile |
| 37 | Italy | 8.43 % | 2021 | down 35.4% | volatile |
| 38 | Greece | 8.2 % | 2022 | up 282.6% | volatile |
| 39 | Canada | 7.96 % | 2020 | down 35.1% | volatile |
| 40 | Lithuania | 7.57 % | 2021 | down 80.1% | volatile |
| 41 | Tunisia | 6.57 % | 2021 | up 159.3% | volatile |
| 42 | Uganda | 6.2 % | 2023 | up 183.0% | volatile |
| 43 | India | 5.49 % | 2020 | up 297.3% | volatile |
| 44 | Cabo Verde | 5.38 % | 2023 | up 186.9% | volatile |
| 45 | Cayman Islands | 5.12 % | 2022 | up 149.0% | rising |
| 46 | El Salvador | 4.89 % | 2021 | down 70.5% | volatile |
| 47 | Burkina Faso | 4.16 % | 2022 | down 44.8% | volatile |
| 48 | Brunei Darussalam | 4.14 % | 2023 | up 159.0% | volatile |
| 48 | Brunei | 4.14 % | 2023 | up 159.0% | volatile |
| 50 | North Macedonia | 4.09 % | 2020 | up 379.5% | volatile |
| 51 | Belgium | 3.53 % | 2021 | up 147.8% | volatile |
| 52 | Serbia | 3.2 % | 2022 | up 113.0% | volatile |
| 53 | Croatia | 2.04 % | 2022 | up 109.9% | volatile |
| 54 | New Zealand | 1.63 % | 2020 | down 96.1% | volatile |
| 55 | Malaysia | 1.48 % | 2022 | up 111.0% | volatile |
| 56 | Uruguay | 1.28 % | 2022 | up 112.6% | volatile |
| 57 | Paraguay | 1.09 % | 2022 | up 103.6% | volatile |
| 58 | Bermuda | 0.3626 % | 2022 | down 97.9% | volatile |
| 59 | Finland | 0.1708 % | 2022 | up 102.7% | volatile |
| 60 | Slovakia | -0.6508 % | 2022 | up 79.1% | volatile |
| 61 | Ecuador | -0.7893 % | 2020 | down 108.5% | volatile |
| 62 | Trinidad and Tobago | -1.09 % | 2022 | down 104.8% | volatile |
| 63 | Netherlands (Kingdom of the) | -1.36 % | 2022 | up 14.1% | volatile |
| 64 | Kenya | -1.69 % | 2023 | down 123.0% | volatile |
| 65 | Poland | -2.29 % | 2021 | down 111.2% | volatile |
| 66 | Lesotho | -2.3 % | 2022 | down 146.8% | volatile |
| 67 | Bosnia and Herzegovina | -2.34 % | 2022 | down 134.1% | volatile |
| 68 | Cameroon | -3.45 % | 2022 | down 89.8% | volatile |
| 69 | Malta | -3.49 % | 2022 | up 75.1% | volatile |
| 70 | Pakistan | -3.51 % | 2023 | down 182.3% | volatile |
| 71 | Cyprus | -3.57 % | 2021 | down 141.7% | volatile |
| 72 | Kazakhstan | -3.63 % | 2023 | down 124.1% | volatile |
| 73 | British Virgin Islands | -3.81 % | 2020 | down 180.4% | volatile |
| 74 | Iran (Islamic Republic of) | -3.87 % | 2020 | down 108.5% | volatile |
| 75 | Bhutan | -4.04 % | 2022 | — | volatile |
| 76 | Bangladesh | -4.42 % | 2023 | down 197.3% | volatile |
| 77 | Bulgaria | -10.57 % | 2022 | up 1.4% | volatile |
| 78 | Romania | -12.65 % | 2022 | up 59.2% | volatile |
| 79 | Hungary | -13.11 % | 2022 | down 10.7% | volatile |
| 80 | Chile | -13.5 % | 2022 | down 412.9% | volatile |
| 81 | Namibia | -15.91 % | 2023 | down 468.4% | volatile |
| 82 | Nigeria | -24.03 % | 2023 | down 484.3% | volatile |
| 83 | Denmark | -35.21 % | 2021 | down 332.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- United States of America 41.41 %
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).