Value Added (Agriculture, Forestry and Fishing) — Value Standard in Guinea-Bissau
Guinea-Bissau: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 551,398 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Guinea-Bissau, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Guinea-Bissau stood at 551,398 million SLC. That is the highest value across all 55 years on record.
The figure is up 10.4% on the previous year and up 157.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Guinea-Bissau peaked at 551,398 million SLC in 2024 and was at its lowest, 54.51 million SLC, in 1971.
That places Guinea-Bissau 54th out of 199 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Guinea-Bissau, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 58.95 million SLC | — |
| 1971 | 54.51 million SLC | -7.5% |
| 1972 | 62.13 million SLC | +14.0% |
| 1973 | 64.98 million SLC | +4.6% |
| 1974 | 71.41 million SLC | +9.9% |
| 1975 | 95.32 million SLC | +33.5% |
| 1976 | 102.22 million SLC | +7.2% |
| 1977 | 93.86 million SLC | -8.2% |
| 1978 | 126.27 million SLC | +34.5% |
| 1979 | 134.23 million SLC | +6.3% |
| 1980 | 102.92 million SLC | -23.3% |
| 1981 | 144.59 million SLC | +40.5% |
| 1982 | 166.64 million SLC | +15.2% |
| 1983 | 180.17 million SLC | +8.1% |
| 1984 | 305.05 million SLC | +69.3% |
| 1985 | 473.05 million SLC | +55.1% |
| 1986 | 1,006 million SLC | +112.8% |
| 1987 | 2,190 million SLC | +117.6% |
| 1988 | 3,682 million SLC | +68.1% |
| 1989 | 7,606 million SLC | +106.6% |
| 1990 | 10,513 million SLC | +38.2% |
| 1991 | 18,603 million SLC | +77.0% |
| 1992 | 33,186 million SLC | +78.4% |
| 1993 | 55,795 million SLC | +68.1% |
| 1994 | 60,518 million SLC | +8.5% |
| 1995 | 115,185 million SLC | +90.3% |
| 1996 | 117,933 million SLC | +2.4% |
| 1997 | 96,512 million SLC | -18.2% |
| 1998 | 90,976 million SLC | -5.7% |
| 1999 | 108,142 million SLC | +18.9% |
| 2000 | 109,247 million SLC | +1.0% |
| 2001 | 107,205 million SLC | -1.9% |
| 2002 | 121,043 million SLC | +12.9% |
| 2003 | 117,245 million SLC | -3.1% |
| 2004 | 117,820 million SLC | +0.5% |
| 2005 | 137,296 million SLC | +16.5% |
| 2006 | 130,782 million SLC | -4.7% |
| 2007 | 144,019 million SLC | +10.1% |
| 2008 | 180,696 million SLC | +25.5% |
| 2009 | 171,777 million SLC | -4.9% |
| 2010 | 189,602 million SLC | +10.4% |
| 2011 | 233,346 million SLC | +23.1% |
| 2012 | 236,844 million SLC | +1.5% |
| 2013 | 228,032 million SLC | -3.7% |
| 2014 | 214,247 million SLC | -6.0% |
| 2015 | 289,958 million SLC | +35.3% |
| 2016 | 323,829 million SLC | +11.7% |
| 2017 | 385,392 million SLC | +19.0% |
| 2018 | 348,912 million SLC | -9.5% |
| 2019 | 354,721 million SLC | +1.7% |
| 2020 | 362,410 million SLC | +2.2% |
| 2021 | 392,294 million SLC | +8.2% |
| 2022 | 446,609 million SLC | +13.8% |
| 2023 | 499,309 million SLC | +11.8% |
| 2024 | 551,398 million SLC | +10.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 86.39 million SLC | 54.51 million SLC | 134.23 million SLC | 10 |
| 1980s | 1,586 million SLC | 102.92 million SLC | 7,606 million SLC | 10 |
| 1990s | 70,736 million SLC | 10,513 million SLC | 117,933 million SLC | 10 |
| 2000s | 133,713 million SLC | 107,205 million SLC | 180,696 million SLC | 10 |
| 2010s | 280,488 million SLC | 189,602 million SLC | 385,392 million SLC | 10 |
| 2020s | 450,404 million SLC | 362,410 million SLC | 551,398 million SLC | 5 |
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)
- Wood-based panels — Import quantity, annual growth rate -77.48 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0004 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate 20.48 % change on previous year (2024)
- Wood-based panels — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Guinea-Bissau?
- Value added (agriculture, forestry and fishing) — value standard in Guinea-Bissau was 551,398 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Guinea-Bissau?
- The highest recorded value was 551,398 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Guinea-Bissau?
- The lowest recorded value was 54.51 million SLC in 1971.
- How does Guinea-Bissau rank for value added (agriculture, forestry and fishing) — value standard?
- Guinea-Bissau ranks 54th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Guinea-Bissau?
- Over the last ten years it is up 157.4%. The long-run trend across the full record is volatile.
- Where does this Guinea-Bissau data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).