Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Côte d'Ivoire
Côte d'Ivoire: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 895,346 million SLC in 2023. ◆ Volatile
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Côte d'Ivoire, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, gross fixed capital formation (agriculture, forestry and fishing) in Côte d'Ivoire stood at 895,346 million SLC. That is the highest value across all 29 years on record.
That represents a change of up 13.6% on the previous year and up 226.4% over ten years.
Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Côte d'Ivoire peaked at 895,346 million SLC in 2023 and was at its lowest, 82,565 million SLC, in 1995.
The series is highly variable year to year, so single readings are best treated with caution.
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Côte d'Ivoire, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 82,565 million SLC | — |
| 1996 | 96,570 million SLC | +17.0% |
| 1997 | 102,053 million SLC | +5.7% |
| 1998 | 117,720 million SLC | +15.4% |
| 1999 | 112,143 million SLC | -4.7% |
| 2000 | 108,005 million SLC | -3.7% |
| 2001 | 117,527 million SLC | +8.8% |
| 2002 | 131,500 million SLC | +11.9% |
| 2003 | 134,654 million SLC | +2.4% |
| 2004 | 108,739 million SLC | -19.2% |
| 2005 | 107,080 million SLC | -1.5% |
| 2006 | 112,245 million SLC | +4.8% |
| 2007 | 117,814 million SLC | +5.0% |
| 2008 | 133,048 million SLC | +12.9% |
| 2009 | 137,197 million SLC | +3.1% |
| 2010 | 185,710 million SLC | +35.4% |
| 2011 | 187,715 million SLC | +1.1% |
| 2012 | 223,889 million SLC | +19.3% |
| 2013 | 274,341 million SLC | +22.5% |
| 2014 | 351,782 million SLC | +28.2% |
| 2015 | 476,215 million SLC | +35.4% |
| 2016 | 492,007 million SLC | +3.3% |
| 2017 | 509,596 million SLC | +3.6% |
| 2018 | 582,327 million SLC | +14.3% |
| 2019 | 600,009 million SLC | +3.0% |
| 2020 | 697,168 million SLC | +16.2% |
| 2021 | 726,012 million SLC | +4.1% |
| 2022 | 787,911 million SLC | +8.5% |
| 2023 | 895,346 million SLC | +13.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 102,210 million SLC | 82,565 million SLC | 117,720 million SLC | 5 |
| 2000s | 120,781 million SLC | 107,080 million SLC | 137,197 million SLC | 10 |
| 2010s | 388,359 million SLC | 185,710 million SLC | 600,009 million SLC | 10 |
| 2020s | 776,609 million SLC | 697,168 million SLC | 895,346 million SLC | 4 |
Countries ranked near Côte d'Ivoire
- 1 Indonesia 387.06 million million SLC compare
- 1 Iran (Islamic Republic of) 1.81 billion million SLC compare
- 2 Uzbekistan 23.90 million million SLC compare
- 2 Viet Nam 210.06 million million SLC compare
- 3 Cabo Verde 1,559 million SLC compare
- 3 Colombia 12.37 million million SLC compare
- 3 Lao People's Democratic Republic 6.24 million million SLC compare
- 4 Nigeria 10.33 million million SLC compare
- 4 United Republic of Tanzania 4.12 million million SLC compare
More environment data for Côte d'Ivoire
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.255 °C (2025)
- Temperature change 1.51 °C (2025)
- Cropland — Area per capita 0.42 ha/cap (2024)
- Land area equipped for irrigation — Area 72.75 1000 ha (2024)
- Arable land — Area 4,980 1000 ha (2024)
- Arable land — Share in Agricultural land 18.67 % (2024)
- Permanent crops — Area 8,488 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 41.51 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 49.5 % (2024)
Frequently asked questions
- What is gross fixed capital formation (agriculture, forestry and fishing) in Côte d'Ivoire?
- Gross fixed capital formation (agriculture, forestry and fishing) in Côte d'Ivoire was 895,346 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Côte d'Ivoire?
- The highest recorded value was 895,346 million SLC in 2023.
- What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Côte d'Ivoire?
- The lowest recorded value was 82,565 million SLC in 1995.
- How does Côte d'Ivoire rank for gross fixed capital formation (agriculture, forestry and fishing)?
- Côte d'Ivoire ranks 1st out of 3 countries with data for 2023.
- Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Côte d'Ivoire?
- Over the last ten years it is up 226.4%. The long-run trend across the full record is volatile.
- Where does this Côte d'Ivoire data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Fixed Capital Formation (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.