Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bosnia and Herzegovina
Bosnia and Herzegovina: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 3,117 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bosnia and Herzegovina, 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 Bosnia and Herzegovina is 3,117 million SLC, measured in 2023. That is the highest value across all 29 years on record.
Compared with earlier readings it is up 4.5% on the previous year and up 54.3% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Bosnia and Herzegovina peaked at 3,117 million SLC in 2023 and was at its lowest, 383.17 million SLC, in 1996.
Bosnia and Herzegovina ranks 141st of 179 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bosnia and Herzegovina, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 394.08 million SLC | — |
| 1996 | 383.17 million SLC | -2.8% |
| 1997 | 566.8 million SLC | +47.9% |
| 1998 | 685.08 million SLC | +20.9% |
| 1999 | 791.13 million SLC | +15.5% |
| 2000 | 1,205 million SLC | +52.4% |
| 2001 | 1,246 million SLC | +3.4% |
| 2002 | 1,303 million SLC | +4.5% |
| 2003 | 1,321 million SLC | +1.4% |
| 2004 | 1,385 million SLC | +4.9% |
| 2005 | 1,449 million SLC | +4.6% |
| 2006 | 1,517 million SLC | +4.7% |
| 2007 | 1,616 million SLC | +6.6% |
| 2008 | 1,781 million SLC | +10.2% |
| 2009 | 1,785 million SLC | +0.3% |
| 2010 | 1,859 million SLC | +4.1% |
| 2011 | 1,978 million SLC | +6.4% |
| 2012 | 1,980 million SLC | +0.1% |
| 2013 | 2,019 million SLC | +2.0% |
| 2014 | 2,037 million SLC | +0.9% |
| 2015 | 2,054 million SLC | +0.8% |
| 2016 | 2,057 million SLC | +0.2% |
| 2017 | 2,155 million SLC | +4.8% |
| 2018 | 2,259 million SLC | +4.8% |
| 2019 | 2,330 million SLC | +3.1% |
| 2020 | 2,352 million SLC | +1.0% |
| 2021 | 2,479 million SLC | +5.4% |
| 2022 | 2,983 million SLC | +20.3% |
| 2023 | 3,117 million SLC | +4.5% |
Bosnia and Herzegovina compared with similar countries
- Bosnia and Herzegovina's 3,117 million SLC is below the median for upper middle income countries, which is 77,819 million SLC, 4% of the median. (50 countries reporting)
- Bosnia and Herzegovina's 3,117 million SLC is below the median for Europe & Central Asia, which is 53,758 million SLC, 6% of the median. (44 countries reporting)
Biggest year-on-year movements
Years where Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bosnia and Herzegovina changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2000 | +52.4% | 791.13 million SLC | 1,205 million SLC |
| 1997 | +47.9% | 383.17 million SLC | 566.8 million SLC |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 564.05 million SLC | 383.17 million SLC | 791.13 million SLC | 5 |
| 2000s | 1,461 million SLC | 1,205 million SLC | 1,785 million SLC | 10 |
| 2010s | 2,073 million SLC | 1,859 million SLC | 2,330 million SLC | 10 |
| 2020s | 2,733 million SLC | 2,352 million SLC | 3,117 million SLC | 4 |
Countries ranked near Bosnia and Herzegovina
More environment data for Bosnia and Herzegovina
- Historical exposure to drought — Land soil moisture anomaly -3.8 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.72 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.509 °C (2025)
- Temperature change 2.09 °C (2025)
- Total fisheries production (metric tons), annual growth rate 19.83 % change on previous year (2024)
- Total fisheries production (metric tons), per unit of GDP 0 metric tons per US$ of GDP (2024)
- Total fisheries production (metric tons), per capita 0.0017 metric tons per person (2024)
- Cooling Degree Days, annual growth rate 49.88 % change on previous year (2024)
- Heating Degree Days, gaps filled 4,567 (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Bosnia and Herzegovina?
- Net capital stocks (agriculture, forestry and fishing) — value in Bosnia and Herzegovina was 3,117 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 Bosnia and Herzegovina?
- The highest recorded value was 3,117 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Bosnia and Herzegovina?
- The lowest recorded value was 383.17 million SLC in 1996.
- How does Bosnia and Herzegovina rank for net capital stocks (agriculture, forestry and fishing) — value?
- Bosnia and Herzegovina ranks 141st out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Bosnia and Herzegovina?
- Over the last ten years it is up 54.3%. The long-run trend across the full record is rising.
- Where does this Bosnia and Herzegovina 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.