Value Added (Agriculture, Forestry and Fishing) — Value Standard in Burundi
Burundi: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 3.33 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Burundi, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Burundi is 3.33 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 9.5% on the previous year and up 127.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Burundi peaked at 3.33 million million SLC in 2024 and was at its lowest, 12,782 million SLC, in 1972.
That places Burundi 36th out of 199 countries with data for 2024, putting it in the top quarter.
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 Burundi, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 13,568 million SLC | — |
| 1971 | 13,939 million SLC | +2.7% |
| 1972 | 12,782 million SLC | -8.3% |
| 1973 | 15,050 million SLC | +17.7% |
| 1974 | 16,179 million SLC | +7.5% |
| 1975 | 19,754 million SLC | +22.1% |
| 1976 | 22,443 million SLC | +13.6% |
| 1977 | 26,349 million SLC | +17.4% |
| 1978 | 27,985 million SLC | +6.2% |
| 1979 | 35,932 million SLC | +28.4% |
| 1980 | 47,875 million SLC | +33.2% |
| 1981 | 50,369 million SLC | +5.2% |
| 1982 | 48,081 million SLC | -4.5% |
| 1983 | 53,726 million SLC | +11.7% |
| 1984 | 64,398 million SLC | +19.9% |
| 1985 | 77,474 million SLC | +20.3% |
| 1986 | 71,872 million SLC | -7.2% |
| 1987 | 70,447 million SLC | -2.0% |
| 1988 | 72,852 million SLC | +3.4% |
| 1989 | 82,609 million SLC | +13.4% |
| 1990 | 100,602 million SLC | +21.8% |
| 1991 | 105,222 million SLC | +4.6% |
| 1992 | 109,021 million SLC | +3.6% |
| 1993 | 109,909 million SLC | +0.8% |
| 1994 | 110,008 million SLC | +0.1% |
| 1995 | 104,985 million SLC | -4.6% |
| 1996 | 131,248 million SLC | +25.0% |
| 1997 | 166,058 million SLC | +26.5% |
| 1998 | 168,586 million SLC | +1.5% |
| 1999 | 184,777 million SLC | +9.6% |
| 2000 | 183,978 million SLC | -0.4% |
| 2001 | 195,893 million SLC | +6.5% |
| 2002 | 213,202 million SLC | +8.8% |
| 2003 | 205,281 million SLC | -3.7% |
| 2004 | 364,506 million SLC | +77.6% |
| 2005 | 493,545 million SLC | +35.4% |
| 2006 | 532,313 million SLC | +7.9% |
| 2007 | 512,565 million SLC | -3.7% |
| 2008 | 726,325 million SLC | +41.7% |
| 2009 | 804,940 million SLC | +10.8% |
| 2010 | 961,166 million SLC | +19.4% |
| 2011 | 1.03 million million SLC | +7.7% |
| 2012 | 1.19 million million SLC | +15.2% |
| 2013 | 1.46 million million SLC | +22.7% |
| 2014 | 1.46 million million SLC | +0.0% |
| 2015 | 1.56 million million SLC | +6.4% |
| 2016 | 1.72 million million SLC | +10.7% |
| 2017 | 2.13 million million SLC | +23.7% |
| 2018 | 2.09 million million SLC | -2.0% |
| 2019 | 2.12 million million SLC | +1.5% |
| 2020 | 2.24 million million SLC | +5.5% |
| 2021 | 2.51 million million SLC | +12.0% |
| 2022 | 2.91 million million SLC | +15.9% |
| 2023 | 3.04 million million SLC | +4.6% |
| 2024 | 3.33 million million SLC | +9.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 20,398 million SLC | 12,782 million SLC | 35,932 million SLC | 10 |
| 1980s | 63,970 million SLC | 47,875 million SLC | 82,609 million SLC | 10 |
| 1990s | 129,042 million SLC | 100,602 million SLC | 184,777 million SLC | 10 |
| 2000s | 423,255 million SLC | 183,978 million SLC | 804,940 million SLC | 10 |
| 2010s | 1.57 million million SLC | 961,166 million SLC | 2.13 million million SLC | 10 |
| 2020s | 2.81 million million SLC | 2.24 million million SLC | 3.33 million million SLC | 5 |
Countries ranked near Burundi
More environment data for Burundi
- Historical exposure to drought — Land soil moisture anomaly -3.89 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.95 Percentage change (2025)
- Standard Deviation, annual growth rate -27.74 % change on previous year (2013)
- Standard Deviation 0.284 °C (2013)
- Temperature change 1.27 °C (2013)
- Paper and paperboard — Import quantity, annual growth rate -29.48 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0001 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -58.52 % change on previous year (2024)
- Paper and paperboard — 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 Burundi?
- Value added (agriculture, forestry and fishing) — value standard in Burundi was 3.33 million 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 Burundi?
- The highest recorded value was 3.33 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Burundi?
- The lowest recorded value was 12,782 million SLC in 1972.
- How does Burundi rank for value added (agriculture, forestry and fishing) — value standard?
- Burundi ranks 36th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Burundi?
- Over the last ten years it is up 127.7%. The long-run trend across the full record is volatile.
- Where does this Burundi 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).