Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Iraq
Iraq: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 640,590 million SLC in 2023. ◆ Volatile
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Iraq, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for gross fixed capital formation (agriculture, forestry and fishing) in Iraq is 640,590 million SLC, measured in 2023.
Compared with earlier readings it is up 19.7% on the previous year and down 19.3% over ten years.
Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Iraq peaked at 1.42 million million SLC in 2012 and was at its lowest, 13,035 million SLC, in 2009.
Iraq ranks 24th of 181 countries on this measure, in the top quarter.
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 Iraq, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 59,236 million SLC | — |
| 1996 | 56,294 million SLC | -5.0% |
| 1997 | 53,259 million SLC | -5.4% |
| 1998 | 54,649 million SLC | +2.6% |
| 1999 | 70,934 million SLC | +29.8% |
| 2000 | 97,318 million SLC | +37.2% |
| 2001 | 186,147 million SLC | +91.3% |
| 2002 | 193,456 million SLC | +3.9% |
| 2003 | 74,630 million SLC | -61.4% |
| 2004 | 18,268 million SLC | -75.5% |
| 2005 | 214,248 million SLC | +1072.8% |
| 2006 | 666,771 million SLC | +211.2% |
| 2007 | 17,639 million SLC | -97.4% |
| 2008 | 54,300 million SLC | +207.8% |
| 2009 | 13,035 million SLC | -76.0% |
| 2010 | 389,096 million SLC | +2885.0% |
| 2011 | 596,488 million SLC | +53.3% |
| 2012 | 1.42 million million SLC | +138.0% |
| 2013 | 793,768 million SLC | -44.1% |
| 2014 | 540,820 million SLC | -31.9% |
| 2015 | 213,445 million SLC | -60.5% |
| 2016 | 328,508 million SLC | +53.9% |
| 2017 | 732,790 million SLC | +123.1% |
| 2018 | 390,233 million SLC | -46.7% |
| 2019 | 722,402 million SLC | +85.1% |
| 2020 | 220,794 million SLC | -69.4% |
| 2021 | 340,830 million SLC | +54.4% |
| 2022 | 535,340 million SLC | +57.1% |
| 2023 | 640,590 million SLC | +19.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 58,874 million SLC | 53,259 million SLC | 70,934 million SLC | 5 |
| 2000s | 153,581 million SLC | 13,035 million SLC | 666,771 million SLC | 10 |
| 2010s | 612,715 million SLC | 213,445 million SLC | 1.42 million million SLC | 10 |
| 2020s | 434,388 million SLC | 220,794 million SLC | 640,590 million SLC | 4 |
Countries ranked near Iraq
- 21 Mongolia 948,315 million SLC compare
- 22 Angola 780,833 million SLC compare
- 23 Madagascar 767,254 million SLC compare
- 25 Bangladesh 607,853 million SLC compare
- 26 Kazakhstan 583,633 million SLC compare
- 27 Cameroon 488,416 million SLC compare
More environment data for Iraq
- Historical exposure to drought — Land soil moisture anomaly -38.03 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -26.27 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.549 °C (2025)
- Temperature change 1.99 °C (2025)
- Plywood and LVL — Import quantity, annual growth rate 33.18 % change on previous year (2024)
- Plywood and LVL — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Plywood and LVL — Import quantity, per capita 0.0075 m3 per person (2024)
- Plywood and LVL — Import value, annual growth rate 33.52 % change on previous year (2024)
- Plywood and LVL — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is gross fixed capital formation (agriculture, forestry and fishing) in Iraq?
- Gross fixed capital formation (agriculture, forestry and fishing) in Iraq was 640,590 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 Iraq?
- The highest recorded value was 1.42 million million SLC in 2012.
- What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Iraq?
- The lowest recorded value was 13,035 million SLC in 2009.
- How does Iraq rank for gross fixed capital formation (agriculture, forestry and fishing)?
- Iraq ranks 24th out of 181 countries with data for 2023.
- Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Iraq?
- Over the last ten years it is down 19.3%. The long-run trend across the full record is volatile.
- Where does this Iraq 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.