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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Agriculture orientation index US$, 2015 prices by country

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables...

Countries reporting
187
Highest
9.77
Luxembourg
Lowest
0.044
Anguilla
Median
0.5408
Years covered
29
1995–2023
Data points
6,512

What the numbers show

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Agriculture orientation index US$, 2015 prices is currently reported for 187 countries. The highest value is 9.77 in Luxembourg; the lowest is 0.044 in Anguilla.

The median across all reporting countries is 0.5408, and the mean is 0.8519.

The gap between the highest and lowest reporting country is a factor of about 222.

Over the past decade 124 countries rose and 63 fell. The largest increase was in Liberia (up 584.9%), and the largest decrease in Mauritius (down 82.1%).

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing): full country ranking

#Country LatestYear 10-year changeTrend
1 Luxembourg 9.77 2023 down 24.7% volatile
2 Estonia 6.43 2023 up 196.8% rising
3 Latvia 4.47 2023 up 113.2% volatile
3 Türkiye 0.6287 2023 up 2.7% falling
4 Denmark 3.55 2023 up 19.6% falling
5 United Kingdom of Great Britain and Northern Ireland 3.43 2023 up 17.8% flat
6 Greece 3.27 2023 up 49.5% rising
6 Viet Nam 0.5722 2023 up 43.3% rising
7 Belarus 2.67 2023 up 26.4% rising
8 Lithuania 2.66 2023 down 16.5% rising
9 Slovenia 2.63 2023 up 52.4% rising
10 Belgium 2.5 2023 up 14.2% rising
10 Timor-Leste 0.3904 2023 up 17.5% rising
11 Austria 2.33 2023 down 17.5% falling
12 Singapore 2.15 2023 up 19.7% rising
12 Cabo Verde 0.8855 2023 up 95.5% rising
13 Sweden 2.05 2023 up 18.3% falling
14 France 1.97 2023 up 1.5% falling
15 Ireland 1.94 2023 down 26.2% falling
16 Poland 1.9 2023 up 15.5% rising
16 Democratic Republic of the Congo 0.2168 2023 down 11.3% falling
17 Germany 1.88 2023 down 17.7% rising
18 South Africa 1.79 2023 up 13.8% falling
19 Italy 1.79 2023 up 40.4% rising
20 Norway 1.76 2023 up 64.1% falling
21 Switzerland 1.74 2023 down 0.1% flat
22 Bulgaria 1.72 2023 up 23.8% rising
23 Hungary 1.72 2023 up 41.6% rising
24 Slovakia 1.67 2023 up 3.5% falling
25 Croatia 1.56 2023 up 93.2% rising
26 Netherlands (Kingdom of the) 1.54 2023 down 35.4% rising
27 Uruguay 1.48 2023 up 33.7% rising
28 New Zealand 1.42 2023 up 16.9% rising
29 Guinea 1.4 2023 up 175.3% volatile
30 Romania 1.4 2023 down 9.3% rising
31 Portugal 1.35 2023 down 23.8% rising
32 Czechia 1.34 2023 down 20.1% rising
33 British Virgin Islands 1.22 2023 up 65.1% rising
34 Australia and New Zealand 1.21 2023 up 17.9% falling
35 Australia 1.18 2023 up 16.0% falling
36 Papua New Guinea 1.13 2023 up 200.2% rising
37 Libya 1.11 2023 up 293.3% volatile
38 Angola 1.1 2023 up 245.0% volatile
39 Spain 1.09 2023 up 43.6% rising
40 Finland 1.06 2023 down 43.5% falling
41 Jordan 1.05 2023 up 289.8% volatile
42 Argentina 1.04 2023 down 18.0% rising
43 Pakistan 1.02 2023 up 8.5% rising
44 Canada 1 2023 up 45.0% falling
45 Eswatini 0.9864 2023 down 12.8% rising
46 Sri Lanka 0.9648 2023 up 137.8% rising
47 Cuba 0.928 2023 down 2.8% rising
48 Serbia 0.9236 2023 down 10.1% falling
49 Equatorial Guinea 0.9102 2023 up 150.3% volatile
50 Russian Federation 0.9093 2023 up 13.4% rising
51 Cyprus 0.9084 2023 up 356.7% falling
52 Honduras 0.9082 2023 up 29.8% rising
53 Japan 0.8944 2023 down 21.3% falling
54 Puerto Rico 0.8944 2023 down 22.6% falling
55 Curaçao 0.8901 2022 up 26.6% falling
56 Palestine 0.8814 2023 up 34.0% rising
57 Eritrea 0.8583 2023 up 85.7% volatile
58 Turks and Caicos Islands 0.8571 2023 up 10.4% volatile
59 Israel 0.8356 2023 up 14.2% falling
60 Thailand 0.7897 2023 up 1.8% rising
61 Costa Rica 0.7745 2023 up 13.5% falling
62 Ghana 0.7736 2023 up 97.4% rising
63 Kuwait 0.7515 2023 up 35.9% volatile
64 Colombia 0.7456 2023 up 199.7% rising
65 Guatemala 0.7433 2023 down 5.6% falling
66 Paraguay 0.7414 2023 up 20.4% flat
67 Philippines 0.7397 2023 up 32.2% rising
68 El Salvador 0.7175 2023 down 10.6% rising
69 Haiti 0.717 2023 up 60.9% rising
70 Morocco 0.7152 2023 up 1.9% falling
71 Armenia 0.6973 2023 up 110.6% rising
72 Albania 0.6833 2023 up 31.4% falling
73 Tunisia 0.6669 2023 down 10.8% rising
74 Liberia 0.6653 2023 up 584.9% volatile
75 Comoros 0.6452 2023 up 52.7% rising
76 Peru 0.6397 2023 up 83.7% rising
77 Bosnia and Herzegovina 0.6389 2023 down 5.6% rising
78 Namibia 0.6363 2023 up 3.3% rising
79 Republic of Korea 0.6008 2023 up 3.7% falling
80 Cayman Islands 0.5941 2023 up 7.1% rising
81 Malaysia 0.5847 2023 up 60.1% rising
82 Trinidad and Tobago 0.5822 2023 up 359.1% volatile
83 Guinea-Bissau 0.5817 2023 up 2.3% rising
84 Yemen 0.5786 2023 up 21.5% falling
85 Brunei Darussalam 0.5723 2023 up 73.3% falling
86 Guyana 0.5692 2023 up 66.4% rising
87 Mexico 0.5655 2023 up 33.4% volatile
88 Andorra 0.5639 2023 up 2.0% rising
89 Nigeria 0.5632 2023 down 55.9% rising
90 Nicaragua 0.5501 2023 up 48.3% rising
91 Chile 0.5408 2023 down 9.1% falling
92 Burkina Faso 0.5271 2023 up 88.4% rising
93 Brazil 0.5168 2023 up 48.6% falling
94 Iceland 0.5164 2023 down 23.3% rising
95 Indonesia 0.5163 2023 up 13.7% falling
96 Uganda 0.5156 2023 up 16.9% rising
97 Cameroon 0.5133 2023 up 2.3% rising
98 Zambia 0.513 2023 down 25.2% falling
99 Bahamas 0.5093 2023 up 1.5% rising
100 Malawi 0.4926 2023 up 56.0% rising
101 Montenegro 0.4908 2023 down 5.2% falling
102 United Arab Emirates 0.4789 2023 up 13.1% rising
103 India 0.4779 2023 up 2.4% rising
104 Tajikistan 0.4711 2023 up 81.0% falling
105 Vanuatu 0.4663 2023 up 5.4% falling
106 Kenya 0.457 2023 up 137.1% rising
107 Solomon Islands 0.4431 2023 down 27.9% rising
108 Bahrain 0.4431 2023 down 1.4% falling
109 Zimbabwe 0.4402 2023 down 69.6% volatile
110 Afghanistan 0.4397 2023 up 17.6% rising
111 Azerbaijan 0.438 2023 down 15.8% volatile
112 Bhutan 0.4358 2023 up 112.8% rising
113 Sudan 0.4355 2022 down 23.6% falling
114 Egypt 0.433 2023 up 43.6% volatile
115 Iraq 0.4298 2023 up 140.1% volatile
116 Georgia 0.4287 2023 up 5.5% flat
117 Mauritania 0.4286 2023 up 116.5% rising
118 Tonga 0.4216 2023 down 18.5% flat
119 Malta 0.4178 2023 down 61.9% falling
120 Kazakhstan 0.4147 2023 up 9.4% rising
121 Grenada 0.4089 2023 up 8.4% falling
122 Bangladesh 0.3965 2023 up 40.4% rising
123 Mongolia 0.3952 2023 down 11.1% rising
124 Saint Kitts and Nevis 0.3924 2023 up 6.3% rising
125 Botswana 0.3858 2023 up 23.3% rising
126 Fiji 0.3839 2023 up 68.8% rising
127 Congo 0.3828 2023 up 115.1% falling
128 Senegal 0.3823 2023 up 2.0% flat
129 Saudi Arabia 0.3759 2023 up 3.2% falling
130 China, mainland 0.3667 2023 up 6.2% rising
131 Mauritius 0.3665 2023 down 82.1% falling
132 Mali 0.3618 2023 up 10.0% rising
133 Rwanda 0.3611 2023 up 50.4% rising
134 Turkmenistan 0.3545 2023 up 19.4% flat
135 Gabon 0.3268 2023 up 9.2% falling
136 Cambodia 0.3253 2023 down 5.5% rising
137 Lesotho 0.3174 2023 up 4.0% rising
138 Algeria 0.3167 2023 up 24.7% falling
139 Bermuda 0.3105 2023 down 9.2% rising
140 Ethiopia 0.3064 2023 up 69.8% rising
141 Panama 0.3026 2023 down 1.5% falling
142 Togo 0.2971 2023 up 16.5% rising
143 Sao Tome and Principe 0.2932 2023 up 98.8% volatile
144 Myanmar 0.2917 2023 up 21.0% falling
145 Nepal 0.2905 2023 up 8.9% flat
146 Ukraine 0.2903 2023 down 54.7% flat
147 Somalia 0.2846 2023 down 31.8% rising
148 Barbados 0.2842 2023 down 21.2% falling
149 North Macedonia 0.2817 2023 up 10.5% rising
150 Gambia 0.2797 2023 up 2.1% rising
151 Antigua and Barbuda 0.2756 2023 up 25.2% rising
152 Tuvalu 0.2663 2023 down 80.9% volatile
153 Djibouti 0.2658 2023 up 3.1% rising
154 Uzbekistan 0.2629 2023 down 1.4% falling
155 Burundi 0.26 2023 up 4.8% rising
156 Kiribati 0.2489 2023 down 11.8% falling
157 Seychelles 0.2463 2023 up 24.3% rising
158 Suriname 0.2401 2023 down 5.9% falling
159 Madagascar 0.2328 2023 up 0.1% falling
160 Naoero 0.2209 2023 up 16.0% rising
161 Ecuador 0.2193 2023 up 44.7% volatile
162 Oman 0.2163 2023 up 253.9% volatile
163 Benin 0.2127 2023 down 34.2% flat
164 Maldives 0.2076 2023 up 27.8% rising
165 Mozambique 0.2001 2023 up 124.8% rising
166 Saint Lucia 0.1998 2023 down 30.3% rising
167 Saint Vincent and the Grenadines 0.1881 2023 down 16.1% rising
168 Sierra Leone 0.1871 2023 down 52.3% falling
169 Dominica 0.1845 2023 down 52.8% rising
170 Belize 0.1718 2023 down 57.9% falling
171 Chad 0.1716 2023 down 32.2% rising
172 Marshall Islands 0.1626 2023 down 70.6% falling
173 French Polynesia 0.1601 2023 up 7.8% rising
174 Central African Republic 0.1532 2023 down 69.2% falling
175 Dominican Republic 0.1532 2023 down 13.2% falling
176 Kyrgyzstan 0.151 2023 down 13.3% volatile
177 Jamaica 0.1366 2023 down 23.1% flat
178 Palau 0.1254 2023 down 24.0% falling
179 Lebanon 0.0953 2023 down 80.3% rising
180 Niger 0.0836 2023 down 0.8% volatile
181 New Caledonia 0.0756 2023 down 80.3% falling
182 Anguilla 0.044 2023 down 68.1% volatile

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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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-agriculture-orientation-4/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Agriculture orientation index US$, 2015 prices
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
228 places, 6,512 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.