Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Burundi
Burundi: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 1,272 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Burundi, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Burundi is 1,272 million USD, measured in 2024.
Compared with earlier readings it is up 4.3% on the previous year and up 26.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Burundi peaked at 1,293 million USD in 1992 and was at its lowest, 717 million USD, in 1972.
Burundi ranks 120th of 200 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Burundi, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 772.7 million USD | — |
| 1971 | 799.99 million USD | +3.5% |
| 1972 | 717 million USD | -10.4% |
| 1973 | 805.4 million USD | +12.3% |
| 1974 | 772.47 million USD | -4.1% |
| 1975 | 810.09 million USD | +4.9% |
| 1976 | 841.17 million USD | +3.8% |
| 1977 | 849.8 million USD | +1.0% |
| 1978 | 873.42 million USD | +2.8% |
| 1979 | 895.14 million USD | +2.5% |
| 1980 | 890.02 million USD | -0.6% |
| 1981 | 1,016 million USD | +14.1% |
| 1982 | 938.53 million USD | -7.6% |
| 1983 | 979.75 million USD | +4.4% |
| 1984 | 944.33 million USD | -3.6% |
| 1985 | 1,068 million USD | +13.1% |
| 1986 | 1,112 million USD | +4.1% |
| 1987 | 1,170 million USD | +5.2% |
| 1988 | 1,189 million USD | +1.6% |
| 1989 | 1,163 million USD | -2.2% |
| 1990 | 1,228 million USD | +5.6% |
| 1991 | 1,254 million USD | +2.1% |
| 1992 | 1,293 million USD | +3.1% |
| 1993 | 1,237 million USD | -4.4% |
| 1994 | 1,116 million USD | -9.7% |
| 1995 | 1,041 million USD | -6.8% |
| 1996 | 1,056 million USD | +1.5% |
| 1997 | 1,092 million USD | +3.3% |
| 1998 | 1,113 million USD | +1.9% |
| 1999 | 1,101 million USD | -1.0% |
| 2000 | 1,044 million USD | -5.2% |
| 2001 | 1,008 million USD | -3.4% |
| 2002 | 1,051 million USD | +4.2% |
| 2003 | 958.33 million USD | -8.8% |
| 2004 | 924.78 million USD | -3.5% |
| 2005 | 1,019 million USD | +10.2% |
| 2006 | 1,052 million USD | +3.2% |
| 2007 | 951.34 million USD | -9.5% |
| 2008 | 953.13 million USD | +0.2% |
| 2009 | 944.07 million USD | -1.0% |
| 2010 | 962.09 million USD | +1.9% |
| 2011 | 937.58 million USD | -2.5% |
| 2012 | 958.1 million USD | +2.2% |
| 2013 | 1,039 million USD | +8.4% |
| 2014 | 1,005 million USD | -3.2% |
| 2015 | 990.65 million USD | -1.5% |
| 2016 | 1,017 million USD | +2.7% |
| 2017 | 1,019 million USD | +0.2% |
| 2018 | 1,095 million USD | +7.4% |
| 2019 | 1,126 million USD | +2.8% |
| 2020 | 1,158 million USD | +2.8% |
| 2021 | 1,197 million USD | +3.4% |
| 2022 | 1,187 million USD | -0.8% |
| 2023 | 1,220 million USD | +2.8% |
| 2024 | 1,272 million USD | +4.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 813.72 million USD | 717 million USD | 895.14 million USD | 10 |
| 1980s | 1,047 million USD | 890.02 million USD | 1,189 million USD | 10 |
| 1990s | 1,153 million USD | 1,041 million USD | 1,293 million USD | 10 |
| 2000s | 990.53 million USD | 924.78 million USD | 1,052 million USD | 10 |
| 2010s | 1,015 million USD | 937.58 million USD | 1,126 million USD | 10 |
| 2020s | 1,207 million USD | 1,158 million USD | 1,272 million USD | 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)
- Other paper and paperboard — Import quantity, annual growth rate 18.48 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate -60.66 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import -99.32 % change on previous year (2023)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Burundi?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Burundi was 1,272 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Burundi?
- The highest recorded value was 1,293 million USD in 1992.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Burundi?
- The lowest recorded value was 717 million USD in 1972.
- How does Burundi rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Burundi ranks 120th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Burundi?
- Over the last ten years it is up 26.5%. The long-run trend across the full record is rising.
- 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 US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).