Value Added (Agriculture) — Annual growth Standard Local Currency 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 Standard Local Currency is currently reported for 77 countries. The highest value is 65.77 % in Estonia; the lowest is -37.73 % in Denmark.
The median across all reporting countries is 9.05 %, and the mean is 11.34 %.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 52 countries rose and 24 fell. The largest increase was in Austria (up 2,919.3%), and the largest decrease in Costa Rica (down 1,810.3%).
Value Added (Agriculture) — Annual growth Standard Local Currency: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Estonia | 65.77 % | 2022 | up 325.5% | volatile |
| 2 | Zambia | 50.89 % | 2022 | up 329.6% | volatile |
| 3 | Colombia | 42.1 % | 2022 | up 2,176.4% | volatile |
| 4 | Belarus | 39.85 % | 2022 | up 79.9% | volatile |
| 5 | Luxembourg | 34.26 % | 2022 | up 46.5% | volatile |
| 6 | Czechia | 32.29 % | 2022 | up 64.2% | volatile |
| 7 | Slovenia | 32.08 % | 2022 | up 268.1% | volatile |
| 8 | Pakistan | 32.04 % | 2023 | up 138.1% | volatile |
| 9 | Liberia | 28.84 % | 2022 | up 511.2% | volatile |
| 10 | Seychelles | 26.23 % | 2022 | up 387.5% | volatile |
| 11 | Gambia | 24.94 % | 2023 | up 355.4% | volatile |
| 12 | Austria | 22.21 % | 2022 | up 2,919.3% | volatile |
| 13 | Greece | 21.52 % | 2022 | up 519.0% | volatile |
| 14 | Ireland | 21.04 % | 2021 | down 50.9% | volatile |
| 15 | Eswatini | 20.45 % | 2022 | up 5.1% | volatile |
| 16 | Brazil | 19.96 % | 2016 | up 364.7% | volatile |
| 17 | Guatemala | 19.47 % | 2023 | up 392.3% | volatile |
| 18 | Belize | 17.73 % | 2022 | down 31.0% | volatile |
| 19 | Uzbekistan | 17.56 % | 2023 | up 13.0% | falling |
| 20 | United Kingdom of Great Britain and Northern Ireland | 17.41 % | 2021 | down 11.9% | volatile |
| 21 | Burkina Faso | 17.16 % | 2022 | up 4.0% | volatile |
| 22 | Kenya | 16.65 % | 2023 | up 77.7% | falling |
| 23 | Iceland | 16.51 % | 2022 | up 212.8% | volatile |
| 24 | Serbia | 15.93 % | 2022 | up 264.3% | volatile |
| 25 | Croatia | 14.87 % | 2022 | up 214.7% | volatile |
| 26 | Mexico | 14.15 % | 2022 | up 23.1% | volatile |
| 27 | Finland | 12.51 % | 2022 | up 715.9% | volatile |
| 28 | Latvia | 12.39 % | 2021 | up 725.4% | volatile |
| 29 | Mozambique | 12.24 % | 2023 | up 243.8% | volatile |
| 30 | Slovakia | 11.58 % | 2022 | up 133.3% | volatile |
| 31 | Nigeria | 11.5 % | 2023 | up 87.7% | rising |
| 32 | Sri Lanka | 11.25 % | 2023 | up 28.6% | volatile |
| 33 | India | 11 % | 2020 | down 2.8% | falling |
| 34 | Sweden | 10.81 % | 2021 | up 78.8% | volatile |
| 35 | Netherlands (Kingdom of the) | 10.78 % | 2022 | up 62.9% | volatile |
| 36 | Bangladesh | 10.76 % | 2023 | up 50.1% | rising |
| 37 | Bosnia and Herzegovina | 9.81 % | 2022 | up 37.3% | volatile |
| 38 | Canada | 9.12 % | 2020 | up 603.6% | volatile |
| 39 | France | 9.05 % | 2021 | up 50.7% | volatile |
| 40 | Peru | 8.63 % | 2023 | up 144.2% | volatile |
| 41 | Cameroon | 8.6 % | 2022 | up 35.0% | volatile |
| 42 | Malta | 8.4 % | 2022 | up 223.2% | volatile |
| 43 | Lesotho | 8.12 % | 2022 | down 56.4% | volatile |
| 44 | Spain | 8.1 % | 2021 | up 292.6% | volatile |
| 45 | Malaysia | 7.8 % | 2022 | up 161.4% | volatile |
| 46 | Portugal | 7.26 % | 2021 | up 155.8% | volatile |
| 47 | Uganda | 7.25 % | 2023 | up 263.4% | volatile |
| 48 | Hungary | 6.8 % | 2022 | up 626.1% | volatile |
| 49 | Germany | 6.4 % | 2021 | down 70.4% | volatile |
| 50 | Tunisia | 5.9 % | 2021 | up 323.2% | volatile |
| 51 | Cayman Islands | 5.12 % | 2022 | up 149.0% | rising |
| 52 | El Salvador | 4.89 % | 2021 | down 70.5% | volatile |
| 53 | Italy | 4.71 % | 2021 | down 38.6% | volatile |
| 54 | Senegal | 4.53 % | 2021 | down 71.4% | falling |
| 55 | Paraguay | 4.2 % | 2022 | up 116.1% | volatile |
| 56 | Lithuania | 3.88 % | 2021 | down 87.7% | volatile |
| 57 | New Zealand | 3.24 % | 2020 | down 85.9% | volatile |
| 58 | North Macedonia | 2.57 % | 2020 | down 33.6% | volatile |
| 59 | Bhutan | 2.04 % | 2022 | — | volatile |
| 60 | Norway | 2 % | 2021 | up 143.4% | volatile |
| 61 | Brunei Darussalam | 1.43 % | 2023 | up 120.8% | volatile |
| 62 | Bulgaria | 0.5856 % | 2022 | up 117.3% | volatile |
| 63 | Bermuda | 0.3626 % | 2022 | down 97.9% | volatile |
| 64 | Belgium | -0.0187 % | 2021 | up 99.8% | volatile |
| 65 | Chile | -0.4651 % | 2022 | down 102.3% | volatile |
| 66 | Ecuador | -0.7893 % | 2020 | down 108.5% | volatile |
| 67 | Georgia | -1.06 % | 2023 | down 107.0% | volatile |
| 68 | Trinidad and Tobago | -1.15 % | 2022 | down 105.0% | volatile |
| 69 | Romania | -1.57 % | 2022 | up 92.7% | volatile |
| 70 | Poland | -3.24 % | 2021 | down 117.6% | volatile |
| 71 | British Virgin Islands | -3.81 % | 2020 | down 180.4% | volatile |
| 72 | Costa Rica | -3.97 % | 2023 | down 1,810.3% | volatile |
| 73 | Uruguay | -4.26 % | 2022 | up 70.9% | volatile |
| 74 | Kazakhstan | -4.47 % | 2023 | down 125.7% | volatile |
| 75 | Namibia | -5.16 % | 2023 | down 132.2% | volatile |
| 76 | Cyprus | -6.88 % | 2021 | down 302.5% | volatile |
| 77 | Denmark | -37.73 % | 2021 | down 479.7% | 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 %
- Iran (Islamic Republic of) 36.86 %
- United Republic of Tanzania 13.86 %
- Cabo Verde 2.31 %
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).