Total Expenditure in Agricultural R&D (Standard Local Currency) — Government, Higher Education and Private Non-profit (Agricultural Science and Technology) by country

The dataset contains a set of financial indicators describing national expenditures on agricultural research and development (R&D). The indicators are derived primarily from responses to the financial resources section of the ASTI questionnaire, complemented with selected external macroeconomic indicators required...

Countries reporting
91
Highest
3.26 million million SLC
Indonesia
Lowest
0.352 million SLC
Dominica
Median
1,504 million SLC
Years covered
20
2004–2023
Data points
1,242

What the numbers show

Total Expenditure in Agricultural R&D (Standard Local Currency) — Government, Higher Education and Private Non-profit (Agricultural Science and Technology) is currently reported for 91 countries. The highest value is 3.26 million million SLC in Indonesia; the lowest is 0.352 million SLC in Dominica.

The median across all reporting countries is 1,504 million SLC, and the mean is 93,012 million SLC.

Over the past decade 77 countries rose and 14 fell. The largest increase was in Argentina (up 4,877.5%), and the largest decrease in Venezuela (Bolivarian Republic of) (down 57.6%).

Total Expenditure in Agricultural R&D (Standard Local Currency): full country ranking

#Country LatestYear 10-year changeTrend
1 Indonesia 3.26 million million SLC 2021 up 11.4% rising
1 Viet Nam 1.89 million million SLC 2022 up 69.8% rising
1 Côte d'Ivoire 36,009 million SLC 2023 up 95.5% rising
2 Republic of Korea 1.38 million million SLC 2023 up 59.7% rising
2 United Republic of Tanzania 107,714 million SLC 2023 up 115.3% rising
3 Colombia 602,947 million SLC 2023 up 94.9% rising
3 Lao People's Democratic Republic 62,640 million SLC 2017 up 70.1% rising
3 Cabo Verde 317.11 million SLC 2021 up 138.1% rising
4 Uganda 217,204 million SLC 2023 up 65.2% volatile
4 Democratic Republic of the Congo 16,737 million SLC 2016 up 94.0% rising
5 Argentina 123,799 million SLC 2023 up 4,877.5% volatile
5 Türkiye 4,540 million SLC 2023 up 700.8% volatile
6 Chile 123,275 million SLC 2022 up 83.3% rising
6 Bolivia (Plurinational State of) 178.16 million SLC 2020 up 15.8% rising
7 India 121,667 million SLC 2023 up 127.9% volatile
7 Venezuela (Bolivarian Republic of) 153.4 million SLC 2023 down 57.6% volatile
8 Nigeria 104,569 million SLC 2023 up 112.3% rising
9 Paraguay 85,383 million SLC 2023 up 36.2% volatile
10 Cambodia 46,413 million SLC 2017 up 174.7% rising
11 China, mainland 38,925 million SLC 2023 up 173.5% rising
12 Russian Federation 22,943 million SLC 2019 up 192.3% rising
13 Kenya 16,530 million SLC 2023 up 61.5% rising
14 Thailand 16,001 million SLC 2023 up 70.7% rising
15 Guinea 15,100 million SLC 2016 up 102.5% volatile
16 Myanmar 13,705 million SLC 2017 up 511.3% volatile
17 Costa Rica 13,682 million SLC 2020 up 20.1% rising
18 Senegal 12,219 million SLC 2016 up 91.2% rising
19 Mali 11,590 million SLC 2023 up 33.6% rising
20 Benin 11,249 million SLC 2021 up 69.9% rising
21 Madagascar 9,461 million SLC 2016 up 60.4% rising
22 Bangladesh 9,224 million SLC 2016 up 184.8% rising
23 Pakistan 8,578 million SLC 2012 up 181.2% rising
24 Rwanda 8,536 million SLC 2016 up 132.9% rising
25 Burundi 7,119 million SLC 2016 up 101.7% rising
26 Brazil 7,036 million SLC 2023 up 49.5% rising
27 Burkina Faso 6,501 million SLC 2023 down 30.8% rising
28 Mexico 5,728 million SLC 2013 up 91.0% rising
29 Sri Lanka 5,495 million SLC 2016 up 176.7% rising
30 Niger 4,733 million SLC 2023 up 42.2% rising
31 Cameroon 4,698 million SLC 2023 down 43.8% falling
32 Malawi 3,873 million SLC 2014 up 456.0% volatile
33 Philippines 3,622 million SLC 2015 up 338.4% volatile
34 Nepal 2,777 million SLC 2016 up 572.3% volatile
35 Chad 2,722 million SLC 2021 down 32.3% falling
36 Togo 2,586 million SLC 2023 up 112.6% rising
37 Uruguay 2,485 million SLC 2023 up 144.7% rising
38 South Africa 2,365 million SLC 2022 up 68.4% rising
39 Iceland 2,232 million SLC 2011 down 21.7% falling
40 Ethiopia 1,504 million SLC 2016 up 712.9% volatile
41 Congo 1,074 million SLC 2016 down 29.2% falling
42 Mozambique 1,051 million SLC 2023 up 168.1% volatile
43 Central African Republic 1,018 million SLC 2023 up 2.8% rising
44 Malaysia 960.16 million SLC 2022 up 4.4% rising
45 Australia 940.43 million SLC 2011 up 39.1% rising
46 Jamaica 670.44 million SLC 2012 up 66.3% rising
47 Mauritius 656.12 million SLC 2016 up 87.1% rising
48 Dominican Republic 562.41 million SLC 2023 up 56.4% rising
49 Gabon 385.29 million SLC 2016 down 22.3% falling
50 Ghana 349.13 million SLC 2021 up 267.4% volatile
51 Namibia 253.33 million SLC 2014 up 156.3% rising
52 Peru 212.44 million SLC 2020 up 128.2% rising
53 Mauritania 197.6 million SLC 2016 up 37.9% rising
54 Nicaragua 152.47 million SLC 2020 up 30.1% rising
55 Honduras 142.96 million SLC 2020 up 52.5% rising
56 Greece 108.39 million SLC 2023 up 90.7% rising
57 Guatemala 104.25 million SLC 2023 up 84.0% rising
58 Botswana 83.34 million SLC 2016 up 10.9% rising
59 Papua New Guinea 77.62 million SLC 2023 up 65.1% rising
60 Gambia 71.47 million SLC 2023 up 30.9% rising
61 Trinidad and Tobago 68.92 million SLC 2012 up 27.6% rising
62 Zambia 68.04 million SLC 2023 up 1.1% rising
63 Guinea-Bissau 56.6 million SLC 2023 up 31.2% flat
64 Slovenia 36.25 million SLC 2023 up 229.5% volatile
65 Eswatini 35.59 million SLC 2016 up 15.7% rising
66 Panama 24.12 million SLC 2023 up 67.6% rising
67 Sierra Leone 23.48 million SLC 2023 down 14.4% volatile
68 Oman 22.21 million SLC 2012 up 116.7% rising
69 Eritrea 17.02 million SLC 2011 down 2.7% flat
70 Ecuador 16.71 million SLC 2023 down 1.7% falling
71 Lesotho 14.75 million SLC 2016 up 52.5% rising
72 Jordan 11.09 million SLC 2012 up 58.1% rising
73 Estonia 8.97 million SLC 2015 up 28.2% rising
74 Barbados 2.51 million SLC 2012 down 2.4% flat
75 Liberia 2.42 million SLC 2023 down 10.4% falling
76 Belize 2.09 million SLC 2020 up 10.1% flat
77 Antigua and Barbuda 1.83 million SLC 2012 down 23.4% falling
78 Saint Kitts and Nevis 1.39 million SLC 2012 up 25.3% rising
79 Saint Vincent and the Grenadines 1.23 million SLC 2012 up 20.0% rising
80 Grenada 0.7362 million SLC 2012 up 13.6% rising
81 Saint Lucia 0.5588 million SLC 2012 up 149.5% rising
82 Dominica 0.352 million SLC 2012 down 24.1% falling

Regions and income groups

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

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Total Expenditure in Agricultural R&D (Standard Local Currency) by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 10 September 2026, from https://agriculture.statizoid.com/stat/total-expenditure-in-agricultural-r-and-d-standard-local-currency-total-government-higher/

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About this data

Indicator
Total Expenditure in Agricultural R&D (Standard Local Currency) — Government, Higher Education and Private Non-profit (Agricultural Science and Technology)
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
92 places, 1,242 data points, 2004–2023
Last refreshed

The dataset contains a set of financial indicators describing national expenditures on agricultural research and development (R&D). The indicators are derived primarily from responses to the financial resources section of the ASTI questionnaire, complemented with selected external macroeconomic indicators required to ensure comparability across countries and over time.The dataset includes both directly reported financial aggregates and derived indicators, reflecting different dimensions of agricultural R&D investment. Reported expenditure data are collected in current local currency units (LCU) and refer to total institutional expenditures, as provided by national respondents. Coverage of the private for-profit sector remains limited and is therefore excluded from the dataset. To support temporal analysis and international comparability, expenditure indicators are also expressed in constant local currency units, using country-specific GDP deflators sourced from FAOSTAT. In addition, selected indicators relate agricultural R&D expenditures to key structural variables, such as agricultural value added, allowing for meaningful cross-country comparisons of research intensity and resource allocation.