Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Guinea-Bissau
Guinea-Bissau: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 159,693 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Guinea-Bissau, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, net capital stocks (agriculture, forestry and fishing) — value in Guinea-Bissau stood at 159,693 million SLC. That is the highest value across all 29 years on record.
Compared with earlier readings it is up 3.5% on the previous year and up 98.7% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Guinea-Bissau peaked at 159,693 million SLC in 2023 and was at its lowest, 34,002 million SLC, in 1997.
That places Guinea-Bissau 75th out of 179 countries with data for 2023, putting it 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 in Guinea-Bissau, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 73,320 million SLC | — |
| 1996 | 80,632 million SLC | +10.0% |
| 1997 | 34,002 million SLC | -57.8% |
| 1998 | 36,274 million SLC | +6.7% |
| 1999 | 37,192 million SLC | +2.5% |
| 2000 | 41,639 million SLC | +12.0% |
| 2001 | 45,217 million SLC | +8.6% |
| 2002 | 50,040 million SLC | +10.7% |
| 2003 | 49,299 million SLC | -1.5% |
| 2004 | 50,578 million SLC | +2.6% |
| 2005 | 51,798 million SLC | +2.4% |
| 2006 | 52,342 million SLC | +1.0% |
| 2007 | 53,254 million SLC | +1.7% |
| 2008 | 56,760 million SLC | +6.6% |
| 2009 | 58,380 million SLC | +2.9% |
| 2010 | 63,622 million SLC | +9.0% |
| 2011 | 70,685 million SLC | +11.1% |
| 2012 | 76,018 million SLC | +7.5% |
| 2013 | 80,377 million SLC | +5.7% |
| 2014 | 86,685 million SLC | +7.8% |
| 2015 | 94,264 million SLC | +8.7% |
| 2016 | 103,165 million SLC | +9.4% |
| 2017 | 115,969 million SLC | +12.4% |
| 2018 | 118,189 million SLC | +1.9% |
| 2019 | 129,611 million SLC | +9.7% |
| 2020 | 117,538 million SLC | -9.3% |
| 2021 | 126,843 million SLC | +7.9% |
| 2022 | 154,281 million SLC | +21.6% |
| 2023 | 159,693 million SLC | +3.5% |
Guinea-Bissau compared with similar countries
- Guinea-Bissau's 159,693 million SLC is below the median for low income countries, which is 1.12 million million SLC, 14% of the median. (20 countries reporting)
- Guinea-Bissau's 159,693 million SLC is below the median for Sub-Saharan Africa, which is 396,408 million SLC, 40% of the median. (42 countries reporting)
Biggest year-on-year movements
Years where Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Guinea-Bissau 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 |
|---|---|---|---|
| 1997 | -57.8% | 80,632 million SLC | 34,002 million SLC |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 52,284 million SLC | 34,002 million SLC | 80,632 million SLC | 5 |
| 2000s | 50,931 million SLC | 41,639 million SLC | 58,380 million SLC | 10 |
| 2010s | 93,859 million SLC | 63,622 million SLC | 129,611 million SLC | 10 |
| 2020s | 139,589 million SLC | 117,538 million SLC | 159,693 million SLC | 4 |
Countries ranked near Guinea-Bissau
More environment data for Guinea-Bissau
- Historical exposure to drought — Land soil moisture anomaly -2.65 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.47 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.303 °C (2025)
- Temperature change 1.27 °C (2025)
- Cropland — Area, annual growth rate 4.43 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0.0003 1000 ha per person (2024)
- Arable land — Area, annual growth rate 6.88 % change on previous year (2024)
- Arable land — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Guinea-Bissau?
- Net capital stocks (agriculture, forestry and fishing) — value in Guinea-Bissau was 159,693 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 Guinea-Bissau?
- The highest recorded value was 159,693 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Guinea-Bissau?
- The lowest recorded value was 34,002 million SLC in 1997.
- How does Guinea-Bissau rank for net capital stocks (agriculture, forestry and fishing) — value?
- Guinea-Bissau ranks 75th out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Guinea-Bissau?
- Over the last ten years it is up 98.7%. The long-run trend across the full record is rising.
- Where does this Guinea-Bissau 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.