Value Added (Agriculture) — Value US$, 2015 prices 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
384,146 million USD
India
Lowest
0.5578 million USD
British Virgin Islands
Median
3,250 million USD
Years covered
54
1970–2023
Data points
1,678

What the numbers show

Value Added (Agriculture) — Value US$, 2015 prices is currently reported for 82 countries. The highest value is 384,146 million USD in India; the lowest is 0.5578 million USD in British Virgin Islands.

The median across all reporting countries is 3,250 million USD, and the mean is 14,823 million USD.

Over the past decade 61 countries rose and 19 fell. The largest increase was in Seychelles (up 72.6%), and the largest decrease in Estonia (down 54.6%).

Value Added (Agriculture) — Value US$, 2015 prices: full country ranking

#Country LatestYear 10-year changeTrend
1 India 384,146 million USD 2020 up 36.5% rising
2 Nigeria 117,081 million USD 2023 up 28.3% rising
3 Pakistan 82,460 million USD 2023 up 28.9% rising
4 Brazil 67,698 million USD 2016 up 14.9% rising
5 Iran (Islamic Republic of) 47,485 million USD 2020 up 47.7% rising
6 Mexico 41,140 million USD 2022 up 24.9% rising
7 Spain 32,864 million USD 2021 up 18.0% rising
8 Uzbekistan 31,092 million USD 2023 up 46.0% rising
9 Italy 31,012 million USD 2021 down 7.2% flat
10 France 28,202 million USD 2021 down 12.5% rising
11 Bangladesh 26,973 million USD 2023 up 20.1% rising
12 Germany 26,276 million USD 2021 up 16.6% flat
13 Canada 24,758 million USD 2020 up 45.2% rising
14 Malaysia 22,145 million USD 2022 up 19.4% rising
15 Colombia 19,729 million USD 2022 up 38.3% rising
16 United Kingdom of Great Britain and Northern Ireland 15,990 million USD 2021 down 2.2% rising
17 Peru 14,891 million USD 2023 up 30.0% rising
18 Netherlands (Kingdom of the) 14,890 million USD 2022 up 21.5% rising
19 United Republic of Tanzania 14,716 million USD 2023 up 55.7% rising
20 Kenya 14,418 million USD 2023 up 24.2% rising
21 Kazakhstan 10,040 million USD 2023 up 28.6% rising
22 Poland 9,447 million USD 2021 down 11.7% flat
23 Greece 7,287 million USD 2022 up 3.7% falling
24 Romania 7,215 million USD 2022 up 32.7% falling
25 Uganda 7,075 million USD 2023 up 53.3% rising
26 Chile 6,934 million USD 2022 up 12.5% rising
27 Ecuador 6,787 million USD 2020 up 50.0% volatile
28 Guatemala 6,732 million USD 2023 up 27.4% rising
29 New Zealand 6,248 million USD 2020 up 23.4% rising
30 Sri Lanka 5,648 million USD 2023 up 18.2% rising
31 Cameroon 4,699 million USD 2022 up 44.4% rising
32 Mozambique 4,642 million USD 2023 up 50.0% rising
33 Tunisia 4,164 million USD 2021 up 5.4% rising
34 Niger 4,002 million USD 2019 rising
35 Austria 3,677 million USD 2022 up 15.0% rising
36 Czechia 3,652 million USD 2022 up 38.9% rising
37 Belarus 3,522 million USD 2022 up 6.8% flat
38 Ireland 3,437 million USD 2021 up 57.3% rising
39 Senegal 3,426 million USD 2021 up 70.7% rising
40 Uruguay 3,414 million USD 2022 down 7.1% flat
41 Hungary 3,295 million USD 2022 down 2.7% rising
42 Sweden 3,205 million USD 2021 up 25.5% rising
43 Portugal 3,067 million USD 2021 up 14.9% falling
44 Paraguay 2,960 million USD 2022 up 42.8% rising
45 Costa Rica 2,941 million USD 2023 up 14.6% rising
46 Belgium 2,900 million USD 2021 up 2.7% rising
47 Burkina Faso 2,634 million USD 2022 up 15.3% rising
48 Bulgaria 2,487 million USD 2022 up 37.3% falling
49 Serbia 2,428 million USD 2022 up 20.5% rising
50 Denmark 2,087 million USD 2021 down 2.9% falling
51 Finland 1,564 million USD 2022 up 11.6% falling
52 Norway 1,542 million USD 2021 down 14.6% falling
53 Croatia 1,519 million USD 2022 up 20.7% falling
54 Georgia 1,315 million USD 2023 up 8.6% rising
55 Oman 1,307 million USD 2022 rising
56 El Salvador 1,208 million USD 2021 down 4.9% falling
57 Lithuania 1,197 million USD 2021 up 20.0% rising
58 Slovakia 1,056 million USD 2022 up 18.3% rising
59 North Macedonia 914.73 million USD 2020 down 5.3% rising
60 Bosnia and Herzegovina 849.21 million USD 2022 up 2.3% flat
61 Zambia 773.91 million USD 2022 down 26.7% falling
62 Liberia 607.5 million USD 2022 up 43.0% rising
63 Latvia 570.78 million USD 2021 up 42.3% rising
64 Slovenia 442.78 million USD 2022 down 1.3% falling
65 Cyprus 334.22 million USD 2021 down 20.0% falling
66 Eswatini 312.42 million USD 2022 down 5.6% rising
67 Namibia 303.66 million USD 2023 up 7.7% rising
68 Bhutan 254.58 million USD 2022 up 10.3% rising
69 Belize 220.34 million USD 2022 up 18.5% rising
70 Iceland 203.1 million USD 2022 up 51.7% rising
71 Gambia 181.26 million USD 2023 down 29.3% falling
72 Estonia 163.38 million USD 2022 down 54.6% rising
73 Luxembourg 128.17 million USD 2022 up 3.1% falling
74 Trinidad and Tobago 124.44 million USD 2022 down 27.8% falling
75 Lesotho 119.01 million USD 2022 up 36.1% rising
76 Brunei Darussalam 73.47 million USD 2023 up 8.2% rising
77 Cabo Verde 54.92 million USD 2023 down 33.9% falling
78 Malta 50.3 million USD 2022 down 21.4% falling
79 Seychelles 27.54 million USD 2022 up 72.6% rising
80 Cayman Islands 18.69 million USD 2022 up 30.8% rising
81 Bermuda 14.61 million USD 2022 up 30.7% falling
82 British Virgin Islands 0.5578 million USD 2020 up 0.5% flat

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$, 2015 prices
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).