Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malawi
Malawi: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 5.28 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
Malawi recorded 5.28 million million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
That represents a change of up 38.1% on the previous year and up 543.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Malawi peaked at 5.28 million million SLC in 2024 and was at its lowest, 391.67 million SLC, in 1970.
Malawi ranks 29th of 199 countries on this measure, 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 | 391.67 million SLC | — |
| 1971 | 485.25 million SLC | +23.9% |
| 1972 | 533.44 million SLC | +9.9% |
| 1973 | 398.68 million SLC | -25.3% |
| 1974 | 502.06 million SLC | +25.9% |
| 1975 | 546.04 million SLC | +8.8% |
| 1976 | 656.43 million SLC | +20.2% |
| 1977 | 838.54 million SLC | +27.7% |
| 1978 | 830.69 million SLC | -0.9% |
| 1979 | 895.69 million SLC | +7.8% |
| 1980 | 941.08 million SLC | +5.1% |
| 1981 | 884.48 million SLC | -6.0% |
| 1982 | 989.55 million SLC | +11.9% |
| 1983 | 1,126 million SLC | +13.8% |
| 1984 | 1,385 million SLC | +23.0% |
| 1985 | 1,499 million SLC | +8.3% |
| 1986 | 1,636 million SLC | +9.1% |
| 1987 | 1,974 million SLC | +20.7% |
| 1988 | 2,642 million SLC | +33.8% |
| 1989 | 3,459 million SLC | +30.9% |
| 1990 | 3,840 million SLC | +11.0% |
| 1991 | 4,761 million SLC | +24.0% |
| 1992 | 4,404 million SLC | -7.5% |
| 1993 | 7,937 million SLC | +80.2% |
| 1994 | 4,484 million SLC | -43.5% |
| 1995 | 11,155 million SLC | +148.7% |
| 1996 | 21,329 million SLC | +91.2% |
| 1997 | 25,807 million SLC | +21.0% |
| 1998 | 35,608 million SLC | +38.0% |
| 1999 | 53,528 million SLC | +50.3% |
| 2000 | 73,682 million SLC | +37.7% |
| 2001 | 86,982 million SLC | +18.1% |
| 2002 | 104,059 million SLC | +19.6% |
| 2003 | 113,260 million SLC | +8.8% |
| 2004 | 131,415 million SLC | +16.0% |
| 2005 | 142,497 million SLC | +8.4% |
| 2006 | 167,852 million SLC | +17.8% |
| 2007 | 170,686 million SLC | +1.7% |
| 2008 | 224,136 million SLC | +31.3% |
| 2009 | 265,944 million SLC | +18.7% |
| 2010 | 310,167 million SLC | +16.6% |
| 2011 | 367,551 million SLC | +18.5% |
| 2012 | 443,639 million SLC | +20.7% |
| 2013 | 611,868 million SLC | +37.9% |
| 2014 | 820,616 million SLC | +34.1% |
| 2015 | 1.02 million million SLC | +23.9% |
| 2016 | 1.20 million million SLC | +17.8% |
| 2017 | 1.50 million million SLC | +25.1% |
| 2018 | 1.57 million million SLC | +4.5% |
| 2019 | 1.89 million million SLC | +20.8% |
| 2020 | 2.21 million million SLC | +16.7% |
| 2021 | 2.55 million million SLC | +15.4% |
| 2022 | 3.28 million million SLC | +28.6% |
| 2023 | 3.82 million million SLC | +16.6% |
| 2024 | 5.28 million million SLC | +38.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 607.85 million SLC | 391.67 million SLC | 895.69 million SLC | 10 |
| 1980s | 1,654 million SLC | 884.48 million SLC | 3,459 million SLC | 10 |
| 1990s | 17,285 million SLC | 3,840 million SLC | 53,528 million SLC | 10 |
| 2000s | 148,051 million SLC | 73,682 million SLC | 265,944 million SLC | 10 |
| 2010s | 972,098 million SLC | 310,167 million SLC | 1.89 million million SLC | 10 |
| 2020s | 3.43 million million SLC | 2.21 million million SLC | 5.28 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)
- Other paper and paperboard — Import quantity, annual growth rate 25.33 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.0006 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate 12.75 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.0007 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import 79.35 % change on previous year (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 5.28 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 5.28 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Malawi?
- The lowest recorded value was 391.67 million SLC in 1970.
- How does Malawi rank for value added (agriculture, forestry and fishing) — value standard?
- Malawi ranks 29th out of 199 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 543.2%. 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. 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).