Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mozambique
Mozambique: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 376,177 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mozambique, 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 Mozambique stood at 376,177 million SLC. That is the highest value across all 55 years on record.
The figure is up 8.4% on the previous year and up 170.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Mozambique peaked at 376,177 million SLC in 2024 and was at its lowest, 38.21 million SLC, in 1970.
That places Mozambique 64th 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 Mozambique, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 38.21 million SLC | — |
| 1971 | 41.9 million SLC | +9.7% |
| 1972 | 44.82 million SLC | +7.0% |
| 1973 | 47.79 million SLC | +6.6% |
| 1974 | 51.87 million SLC | +8.5% |
| 1975 | 53.98 million SLC | +4.1% |
| 1976 | 57.98 million SLC | +7.4% |
| 1977 | 59.48 million SLC | +2.6% |
| 1978 | 60.93 million SLC | +2.4% |
| 1979 | 63.45 million SLC | +4.1% |
| 1980 | 70.07 million SLC | +10.4% |
| 1981 | 70.2 million SLC | +0.2% |
| 1982 | 77.27 million SLC | +10.1% |
| 1983 | 85.65 million SLC | +10.8% |
| 1984 | 83.82 million SLC | -2.1% |
| 1985 | 185.47 million SLC | +121.3% |
| 1986 | 185.01 million SLC | -0.2% |
| 1987 | 481.7 million SLC | +160.4% |
| 1988 | 712.15 million SLC | +47.8% |
| 1989 | 1,190 million SLC | +67.1% |
| 1990 | 1,290 million SLC | +8.4% |
| 1991 | 1,877 million SLC | +45.5% |
| 1992 | 2,093 million SLC | +11.5% |
| 1993 | 3,697 million SLC | +76.7% |
| 1994 | 5,389 million SLC | +45.8% |
| 1995 | 8,661 million SLC | +60.7% |
| 1996 | 14,089 million SLC | +62.7% |
| 1997 | 16,980 million SLC | +20.5% |
| 1998 | 17,789 million SLC | +4.8% |
| 1999 | 18,306 million SLC | +2.9% |
| 2000 | 17,194 million SLC | -6.1% |
| 2001 | 21,320 million SLC | +24.0% |
| 2002 | 32,033 million SLC | +50.2% |
| 2003 | 35,577 million SLC | +11.1% |
| 2004 | 40,310 million SLC | +13.3% |
| 2005 | 46,878 million SLC | +16.3% |
| 2006 | 58,248 million SLC | +24.3% |
| 2007 | 67,094 million SLC | +15.2% |
| 2008 | 84,288 million SLC | +25.6% |
| 2009 | 94,193 million SLC | +11.8% |
| 2010 | 105,837 million SLC | +12.4% |
| 2011 | 112,547 million SLC | +6.3% |
| 2012 | 120,824 million SLC | +7.4% |
| 2013 | 125,565 million SLC | +3.9% |
| 2014 | 138,975 million SLC | +10.7% |
| 2015 | 152,727 million SLC | +9.9% |
| 2016 | 179,810 million SLC | +17.7% |
| 2017 | 219,922 million SLC | +22.3% |
| 2018 | 231,400 million SLC | +5.2% |
| 2019 | 240,340 million SLC | +3.9% |
| 2020 | 265,826 million SLC | +10.6% |
| 2021 | 284,664 million SLC | +7.1% |
| 2022 | 309,140 million SLC | +8.6% |
| 2023 | 346,871 million SLC | +12.2% |
| 2024 | 376,177 million SLC | +8.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 52.04 million SLC | 38.21 million SLC | 63.45 million SLC | 10 |
| 1980s | 314.16 million SLC | 70.07 million SLC | 1,190 million SLC | 10 |
| 1990s | 9,017 million SLC | 1,290 million SLC | 18,306 million SLC | 10 |
| 2000s | 49,714 million SLC | 17,194 million SLC | 94,193 million SLC | 10 |
| 2010s | 162,795 million SLC | 105,837 million SLC | 240,340 million SLC | 10 |
| 2020s | 316,536 million SLC | 265,826 million SLC | 376,177 million SLC | 5 |
Countries ranked near Mozambique
More environment data for Mozambique
- Historical exposure to drought — Land soil moisture anomaly -3.62 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.58 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.256 °C (2025)
- Temperature change 1.23 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate -28.16 % 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 0.0007 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -17.29 % 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 Mozambique?
- Value added (agriculture, forestry and fishing) — value standard in Mozambique was 376,177 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 Mozambique?
- The highest recorded value was 376,177 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Mozambique?
- The lowest recorded value was 38.21 million SLC in 1970.
- How does Mozambique rank for value added (agriculture, forestry and fishing) — value standard?
- Mozambique ranks 64th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Mozambique?
- Over the last ten years it is up 170.7%. The long-run trend across the full record is volatile.
- Where does this Mozambique 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).