Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Net Food Importing Developing Countries (NFIDCs)
Net Food Importing Developing Countries (NFIDCs): Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ was 507,377 million USD in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Net Food Importing Developing Countries (NFIDCs), 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2023, net capital stocks (agriculture, forestry and fishing) — value us$ in Net Food Importing Developing Countries (NFIDCs) stood at 507,377 million USD. That is the highest value across all 29 years on record.
That represents a change of up 4.8% on the previous year and up 49.7% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value us$ in Net Food Importing Developing Countries (NFIDCs) peaked at 507,377 million USD in 2023 and was at its lowest, 212,758 million USD, in 1995.
Net Food Importing Developing Countries (NFIDCs) ranks 9th of 29 groups on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Net Food Importing Developing Countries (NFIDCs), year by year
| Year | million USD | Change |
|---|---|---|
| 1995 | 212,758 million USD | — |
| 1996 | 219,099 million USD | +3.0% |
| 1997 | 223,845 million USD | +2.2% |
| 1998 | 229,063 million USD | +2.3% |
| 1999 | 234,845 million USD | +2.5% |
| 2000 | 251,591 million USD | +7.1% |
| 2001 | 255,981 million USD | +1.7% |
| 2002 | 260,081 million USD | +1.6% |
| 2003 | 264,440 million USD | +1.7% |
| 2004 | 266,388 million USD | +0.7% |
| 2005 | 270,515 million USD | +1.5% |
| 2006 | 275,604 million USD | +1.9% |
| 2007 | 281,489 million USD | +2.1% |
| 2008 | 288,171 million USD | +2.4% |
| 2009 | 296,726 million USD | +3.0% |
| 2010 | 305,810 million USD | +3.1% |
| 2011 | 315,348 million USD | +3.1% |
| 2012 | 326,725 million USD | +3.6% |
| 2013 | 338,939 million USD | +3.7% |
| 2014 | 350,516 million USD | +3.4% |
| 2015 | 363,429 million USD | +3.7% |
| 2016 | 377,346 million USD | +3.8% |
| 2017 | 392,034 million USD | +3.9% |
| 2018 | 408,799 million USD | +4.3% |
| 2019 | 425,643 million USD | +4.1% |
| 2020 | 442,620 million USD | +4.0% |
| 2021 | 462,325 million USD | +4.5% |
| 2022 | 484,076 million USD | +4.7% |
| 2023 | 507,377 million USD | +4.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 223,922 million USD | 212,758 million USD | 234,845 million USD | 5 |
| 2000s | 271,099 million USD | 251,591 million USD | 296,726 million USD | 10 |
| 2010s | 360,459 million USD | 305,810 million USD | 425,643 million USD | 10 |
| 2020s | 474,100 million USD | 442,620 million USD | 507,377 million USD | 4 |
Countries ranked near Net Food Importing Developing Countries (NFIDCs)
- 6 Italy 166,905 million USD compare
- 7 Russian Federation 137,260 million USD compare
- 8 Australia and New Zealand 133,862 million USD compare
- 9 Democratic Republic of the Congo 12,728 million USD compare
- 9 Japan 129,050 million USD compare
- 10 France 127,890 million USD compare
- 11 Pakistan 121,223 million USD compare
- 12 Australia 110,662 million USD compare
More environment data for Net Food Importing Developing Countries (NFIDCs)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.221 °C (2025)
- Temperature change 1.34 °C (2025)
- Nutrient potash K2O (total) — Import quantity 1.55 million t (2024)
- Nutrient phosphate P2O5 (total) — Use per value of agricultural 6.68 g/Int$ (2024)
- Nutrient potash K2O (total) — Agricultural Use 1.59 million t (2024)
- Nutrient potash K2O (total) — Use per area of cropland 4.9 kg/ha (2024)
- Country area — Area 3.02 million 1000 ha (2024)
- Land area — Area 2.95 million 1000 ha (2024)
- Nutrient potash K2O (total) — Use per capita 0.86 kg/cap (2024)
All data for Net Food Importing Developing Countries (NFIDCs) →
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value us$ in Net Food Importing Developing Countries (NFIDCs)?
- Net capital stocks (agriculture, forestry and fishing) — value us$ in Net Food Importing Developing Countries (NFIDCs) was 507,377 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Net Food Importing Developing Countries (NFIDCs)?
- The highest recorded value was 507,377 million USD in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Net Food Importing Developing Countries (NFIDCs)?
- The lowest recorded value was 212,758 million USD in 1995.
- How does Net Food Importing Developing Countries (NFIDCs) rank for net capital stocks (agriculture, forestry and fishing) — value us$?
- Net Food Importing Developing Countries (NFIDCs) ranks 9th out of 29 groups with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value us$ rising or falling in Net Food Importing Developing Countries (NFIDCs)?
- Over the last ten years it is up 49.7%. The long-run trend across the full record is rising.
- Where does this Net Food Importing Developing Countries (NFIDCs) data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 29 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.