Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Djibouti
Djibouti: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 6,692 million SLC in 2023. ◆ Volatile
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Djibouti, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for net capital stocks (agriculture, forestry and fishing) — value in Djibouti is 6,692 million SLC, measured in 2023. That is the highest value across all 29 years on record.
Compared with earlier readings it is up 6.5% on the previous year and up 169.5% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Djibouti peaked at 6,692 million SLC in 2023 and was at its lowest, 931.93 million SLC, in 2006.
Djibouti ranks 126th of 179 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Djibouti, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 1,696 million SLC | — |
| 1996 | 1,845 million SLC | +8.8% |
| 1997 | 1,614 million SLC | -12.5% |
| 1998 | 1,630 million SLC | +1.0% |
| 1999 | 2,302 million SLC | +41.2% |
| 2000 | 2,015 million SLC | -12.5% |
| 2001 | 1,275 million SLC | -36.7% |
| 2002 | 1,129 million SLC | -11.5% |
| 2003 | 1,008 million SLC | -10.6% |
| 2004 | 1,292 million SLC | +28.1% |
| 2005 | 986.53 million SLC | -23.6% |
| 2006 | 931.93 million SLC | -5.5% |
| 2007 | 1,135 million SLC | +21.8% |
| 2008 | 1,455 million SLC | +28.2% |
| 2009 | 2,157 million SLC | +48.3% |
| 2010 | 3,505 million SLC | +62.5% |
| 2011 | 2,892 million SLC | -17.5% |
| 2012 | 3,388 million SLC | +17.1% |
| 2013 | 2,483 million SLC | -26.7% |
| 2014 | 2,732 million SLC | +10.0% |
| 2015 | 2,953 million SLC | +8.1% |
| 2016 | 3,176 million SLC | +7.5% |
| 2017 | 3,546 million SLC | +11.7% |
| 2018 | 3,995 million SLC | +12.7% |
| 2019 | 4,597 million SLC | +15.1% |
| 2020 | 5,143 million SLC | +11.9% |
| 2021 | 5,623 million SLC | +9.3% |
| 2022 | 6,284 million SLC | +11.7% |
| 2023 | 6,692 million SLC | +6.5% |
Djibouti compared with similar countries
- Djibouti's 6,692 million SLC is below the median for lower middle income countries, which is 337,264 million SLC, 2% of the median. (41 countries reporting)
- Djibouti's 6,692 million SLC is below the median for Middle East, North Africa, Afghanistan & Pakistan, which is 24,726 million SLC, 27% of the median. (20 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1,818 million SLC | 1,614 million SLC | 2,302 million SLC | 5 |
| 2000s | 1,338 million SLC | 931.93 million SLC | 2,157 million SLC | 10 |
| 2010s | 3,327 million SLC | 2,483 million SLC | 4,597 million SLC | 10 |
| 2020s | 5,935 million SLC | 5,143 million SLC | 6,692 million SLC | 4 |
Countries ranked near Djibouti
More environment data for Djibouti
- Historical exposure to drought — Land soil moisture anomaly -57.06 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.289 °C (2025)
- Temperature change 1.25 °C (2025)
- Cropland — Area, annual growth rate 3.46 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0 1000 ha per person (2024)
- Arable land — Area, annual growth rate 4.24 % change on previous year (2024)
- Arable land — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Arable land — Area, per capita 0 1000 ha per person (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Djibouti?
- Net capital stocks (agriculture, forestry and fishing) — value in Djibouti was 6,692 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Djibouti?
- The highest recorded value was 6,692 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Djibouti?
- The lowest recorded value was 931.93 million SLC in 2006.
- How does Djibouti rank for net capital stocks (agriculture, forestry and fishing) — value?
- Djibouti ranks 126th out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Djibouti?
- Over the last ten years it is up 169.5%. The long-run trend across the full record is volatile.
- Where does this Djibouti 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 Standard Local Currency. 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.