Value Added (Agriculture) — Value 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...

Countries reporting
82
Highest
431,175 million USD
India
Lowest
0.581 million USD
British Virgin Islands
Median
4,146 million USD
Years covered
54
1970–2023
Data points
1,678

What the numbers show

Value Added (Agriculture) — Value US$ is currently reported for 82 countries. The highest value is 431,175 million USD in India; the lowest is 0.581 million USD in British Virgin Islands.

The median across all reporting countries is 4,146 million USD, and the mean is 16,058 million USD.

Over the past decade 64 countries rose and 16 fell. The largest increase was in Cayman Islands (up 102.8%), and the largest decrease in Zambia (down 67.8%).

Value Added (Agriculture) — Value US$: full country ranking

#Country LatestYear 10-year changeTrend
1 India 431,175 million USD 2020 up 53.7% rising
2 Nigeria 80,787 million USD 2023 down 21.8% flat
3 Brazil 80,600 million USD 2016 up 66.5% rising
4 Pakistan 67,988 million USD 2023 up 20.2% rising
5 Mexico 54,755 million USD 2022 up 50.2% rising
6 France 39,535 million USD 2021 down 1.8% rising
7 Spain 37,750 million USD 2021 up 18.3% rising
8 Iran (Islamic Republic of) 37,743 million USD 2020 up 32.9% flat
9 Italy 36,554 million USD 2021 down 5.4% rising
10 Malaysia 31,698 million USD 2022 up 31.3% rising
11 Germany 29,988 million USD 2021 down 4.1% rising
12 Bangladesh 29,459 million USD 2023 up 25.0% rising
13 Colombia 28,842 million USD 2022 up 48.7% rising
14 Canada 23,793 million USD 2020 up 39.8% rising
15 Kenya 20,940 million USD 2023 up 102.7% rising
16 Uzbekistan 20,216 million USD 2023 up 4.5% flat
17 United Kingdom of Great Britain and Northern Ireland 20,123 million USD 2021 up 24.3% rising
18 Peru 17,448 million USD 2023 up 47.7% rising
19 United Republic of Tanzania 16,995 million USD 2023 up 65.4% rising
20 Netherlands (Kingdom of the) 16,588 million USD 2022 up 20.1% rising
21 Poland 13,157 million USD 2021 down 5.0% rising
22 Kazakhstan 10,942 million USD 2023 up 8.9% rising
23 Romania 9,661 million USD 2022 up 32.6% rising
24 New Zealand 9,284 million USD 2020 up 21.1% rising
25 Uganda 9,228 million USD 2023 up 65.5% rising
26 Guatemala 9,186 million USD 2023 up 88.3% rising
27 Greece 7,450 million USD 2022 up 2.3% falling
28 Chile 7,266 million USD 2022 up 7.9% rising
29 Ecuador 6,203 million USD 2020 up 40.0% volatile
30 Sri Lanka 5,738 million USD 2023 up 25.0% rising
31 Belarus 5,300 million USD 2022 up 80.0% rising
32 Czechia 5,249 million USD 2022 up 58.2% rising
33 Hungary 5,197 million USD 2022 up 10.7% rising
34 Cameroon 5,087 million USD 2022 up 49.5% rising
35 Mozambique 4,913 million USD 2023 up 36.2% volatile
36 Ireland 4,879 million USD 2021 up 80.9% rising
37 Austria 4,734 million USD 2022 up 15.7% rising
38 Uruguay 4,445 million USD 2022 up 30.5% rising
39 Niger 4,410 million USD 2019 rising
40 Tunisia 4,361 million USD 2021 up 10.4% rising
41 Paraguay 4,323 million USD 2022 up 40.7% rising
42 Portugal 3,969 million USD 2021 up 30.8% falling
43 Serbia 3,916 million USD 2022 up 47.3% rising
44 Senegal 3,852 million USD 2021 up 66.3% rising
45 Sweden 3,751 million USD 2021 down 2.7% flat
46 Belgium 3,737 million USD 2021 up 3.6% rising
47 Costa Rica 3,163 million USD 2023 up 35.9% rising
48 Burkina Faso 3,112 million USD 2022 up 13.9% rising
49 Bulgaria 2,955 million USD 2022 up 36.8% rising
50 Denmark 2,729 million USD 2021 down 26.3% falling
51 Croatia 1,940 million USD 2022 up 31.4% rising
52 Norway 1,922 million USD 2021 down 7.5% rising
53 Lithuania 1,857 million USD 2021 up 46.4% rising
54 Finland 1,773 million USD 2022 down 1.0% falling
55 Georgia 1,737 million USD 2023 up 16.8% rising
56 Slovakia 1,371 million USD 2022 up 22.4% volatile
57 Oman 1,352 million USD 2022 rising
58 El Salvador 1,232 million USD 2021 down 8.4% flat
59 North Macedonia 1,022 million USD 2020 up 11.6% rising
60 Bosnia and Herzegovina 964.47 million USD 2022 up 16.2% rising
61 Liberia 925.95 million USD 2022 up 50.5% rising
62 Latvia 861.89 million USD 2021 up 74.8% rising
63 Zambia 684.82 million USD 2022 down 67.8% volatile
64 Slovenia 567.38 million USD 2022 up 11.0% flat
65 Estonia 462.23 million USD 2022 up 0.4% rising
66 Cyprus 392.44 million USD 2021 down 25.9% falling
67 Eswatini 355.55 million USD 2022 down 19.9% rising
68 Bhutan 350.46 million USD 2022 up 28.3% rising
69 Namibia 342.03 million USD 2023 up 3.0% rising
70 Gambia 241.6 million USD 2023 down 12.2% falling
71 Iceland 209.86 million USD 2022 up 42.1% rising
72 Belize 203.34 million USD 2022 up 18.9% rising
73 Trinidad and Tobago 199.66 million USD 2022 up 31.7% rising
74 Luxembourg 195.32 million USD 2022 up 27.8% rising
75 Lesotho 135.66 million USD 2022 up 20.7% rising
76 Brunei Darussalam 85.92 million USD 2023 up 30.7% rising
77 Cabo Verde 83.06 million USD 2023 down 14.1% falling
78 Malta 57.88 million USD 2022 down 21.8% falling
79 Seychelles 27.97 million USD 2022 up 61.9% rising
80 Cayman Islands 25.94 million USD 2022 up 102.8% rising
81 Bermuda 14.77 million USD 2022 up 51.4% falling
82 British Virgin Islands 0.581 million USD 2020 up 14.6% rising

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Value Added (Agriculture) — Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
83 places, 1,678 data points, 1970–2023
Last refreshed

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).