Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malawi
Malawi: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.32 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malawi, 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 Malawi stood at 1.32 million million SLC.
Compared with earlier readings it is down 0.2% on the previous year and up 31.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Malawi peaked at 1.33 million million SLC in 2023 and was at its lowest, 223,519 million SLC, in 1970.
That places Malawi 39th out of 191 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 Malawi, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 223,519 million SLC | — |
| 1971 | 261,192 million SLC | +16.9% |
| 1972 | 286,268 million SLC | +9.6% |
| 1973 | 268,271 million SLC | -6.3% |
| 1974 | 273,790 million SLC | +2.1% |
| 1975 | 276,310 million SLC | +0.9% |
| 1976 | 309,064 million SLC | +11.9% |
| 1977 | 343,737 million SLC | +11.2% |
| 1978 | 353,815 million SLC | +2.9% |
| 1979 | 364,853 million SLC | +3.1% |
| 1980 | 340,978 million SLC | -6.5% |
| 1981 | 313,143 million SLC | -8.2% |
| 1982 | 333,059 million SLC | +6.4% |
| 1983 | 347,817 million SLC | +4.4% |
| 1984 | 367,733 million SLC | +5.7% |
| 1985 | 369,653 million SLC | +0.5% |
| 1986 | 372,052 million SLC | +0.6% |
| 1987 | 374,812 million SLC | +0.7% |
| 1988 | 382,370 million SLC | +2.0% |
| 1989 | 391,848 million SLC | +2.5% |
| 1990 | 390,889 million SLC | -0.2% |
| 1991 | 440,920 million SLC | +12.8% |
| 1992 | 330,180 million SLC | -25.1% |
| 1993 | 505,108 million SLC | +53.0% |
| 1994 | 357,055 million SLC | -29.3% |
| 1995 | 417,764 million SLC | +17.0% |
| 1996 | 501,029 million SLC | +19.9% |
| 1997 | 501,700 million SLC | +0.1% |
| 1998 | 583,952 million SLC | +16.4% |
| 1999 | 609,561 million SLC | +4.4% |
| 2000 | 641,927 million SLC | +5.3% |
| 2001 | 603,470 million SLC | -6.0% |
| 2002 | 619,684 million SLC | +2.7% |
| 2003 | 643,630 million SLC | +3.9% |
| 2004 | 661,864 million SLC | +2.8% |
| 2005 | 610,305 million SLC | -7.8% |
| 2006 | 612,746 million SLC | +0.4% |
| 2007 | 681,374 million SLC | +11.2% |
| 2008 | 705,634 million SLC | +3.6% |
| 2009 | 733,804 million SLC | +4.0% |
| 2010 | 783,346 million SLC | +6.8% |
| 2011 | 833,032 million SLC | +6.3% |
| 2012 | 858,113 million SLC | +3.0% |
| 2013 | 929,704 million SLC | +8.3% |
| 2014 | 1.01 million million SLC | +8.4% |
| 2015 | 1.02 million million SLC | +0.9% |
| 2016 | 1.04 million million SLC | +1.9% |
| 2017 | 1.12 million million SLC | +8.2% |
| 2018 | 1.12 million million SLC | +0.3% |
| 2019 | 1.19 million million SLC | +5.9% |
| 2020 | 1.23 million million SLC | +3.4% |
| 2021 | 1.28 million million SLC | +3.8% |
| 2022 | 1.29 million million SLC | +0.9% |
| 2023 | 1.33 million million SLC | +2.8% |
| 2024 | 1.32 million million SLC | -0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 296,082 million SLC | 223,519 million SLC | 364,853 million SLC | 10 |
| 1980s | 359,346 million SLC | 313,143 million SLC | 391,848 million SLC | 10 |
| 1990s | 463,816 million SLC | 330,180 million SLC | 609,561 million SLC | 10 |
| 2000s | 651,444 million SLC | 603,470 million SLC | 733,804 million SLC | 10 |
| 2010s | 990,136 million SLC | 783,346 million SLC | 1.19 million million SLC | 10 |
| 2020s | 1.29 million million SLC | 1.23 million million SLC | 1.33 million million SLC | 5 |
Countries ranked near Malawi
More environment data for Malawi
- Historical exposure to drought — Land soil moisture anomaly -0.9153 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.8098 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.254 °C (2025)
- Temperature change 1.07 °C (2025)
- Plywood and LVL — Import quantity, annual growth rate 27.79 % change on previous year (2024)
- Plywood and LVL — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Plywood and LVL — Import quantity, per capita 0 m3 per person (2024)
- Plywood and LVL — Import value, annual growth rate -15.95 % change on previous year (2024)
- Plywood and LVL — 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 Malawi?
- Value added (agriculture, forestry and fishing) — value standard in Malawi was 1.32 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 Malawi?
- The highest recorded value was 1.33 million million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Malawi?
- The lowest recorded value was 223,519 million SLC in 1970.
- How does Malawi rank for value added (agriculture, forestry and fishing) — value standard?
- Malawi ranks 39th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Malawi?
- Over the last ten years it is up 31.4%. The long-run trend across the full record is volatile.
- Where does this Malawi 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, 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).