Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mozambique
Mozambique: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 209,418 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
Mozambique recorded 209,418 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 2.1% on the previous year and up 41.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Mozambique peaked at 209,418 million SLC in 2024 and was at its lowest, 31,979 million SLC, in 1970.
That places Mozambique 61st out of 191 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 | 31,979 million SLC | — |
| 1971 | 34,371 million SLC | +7.5% |
| 1972 | 36,050 million SLC | +4.9% |
| 1973 | 37,714 million SLC | +4.6% |
| 1974 | 40,068 million SLC | +6.2% |
| 1975 | 40,911 million SLC | +2.1% |
| 1976 | 43,215 million SLC | +5.6% |
| 1977 | 43,101 million SLC | -0.3% |
| 1978 | 43,621 million SLC | +1.2% |
| 1979 | 44,957 million SLC | +3.1% |
| 1980 | 46,684 million SLC | +3.8% |
| 1981 | 47,650 million SLC | +2.1% |
| 1982 | 45,642 million SLC | -4.2% |
| 1983 | 39,061 million SLC | -14.4% |
| 1984 | 41,963 million SLC | +7.4% |
| 1985 | 36,748 million SLC | -12.4% |
| 1986 | 35,638 million SLC | -3.0% |
| 1987 | 46,102 million SLC | +29.4% |
| 1988 | 48,758 million SLC | +5.8% |
| 1989 | 51,353 million SLC | +5.3% |
| 1990 | 52,639 million SLC | +2.5% |
| 1991 | 48,337 million SLC | -8.2% |
| 1992 | 38,661 million SLC | -20.0% |
| 1993 | 48,097 million SLC | +24.4% |
| 1994 | 47,745 million SLC | -0.7% |
| 1995 | 55,504 million SLC | +16.3% |
| 1996 | 58,205 million SLC | +4.9% |
| 1997 | 63,546 million SLC | +9.2% |
| 1998 | 69,026 million SLC | +8.6% |
| 1999 | 73,311 million SLC | +6.2% |
| 2000 | 64,128 million SLC | -12.5% |
| 2001 | 70,684 million SLC | +10.2% |
| 2002 | 78,934 million SLC | +11.7% |
| 2003 | 83,104 million SLC | +5.3% |
| 2004 | 87,334 million SLC | +5.1% |
| 2005 | 93,379 million SLC | +6.9% |
| 2006 | 103,372 million SLC | +10.7% |
| 2007 | 112,313 million SLC | +8.6% |
| 2008 | 119,710 million SLC | +6.6% |
| 2009 | 126,244 million SLC | +5.5% |
| 2010 | 132,331 million SLC | +4.8% |
| 2011 | 137,652 million SLC | +4.0% |
| 2012 | 139,478 million SLC | +1.3% |
| 2013 | 143,033 million SLC | +2.5% |
| 2014 | 148,260 million SLC | +3.7% |
| 2015 | 152,727 million SLC | +3.0% |
| 2016 | 159,182 million SLC | +4.2% |
| 2017 | 165,555 million SLC | +4.0% |
| 2018 | 171,104 million SLC | +3.4% |
| 2019 | 174,285 million SLC | +1.9% |
| 2020 | 181,048 million SLC | +3.9% |
| 2021 | 187,207 million SLC | +3.4% |
| 2022 | 197,596 million SLC | +5.5% |
| 2023 | 205,126 million SLC | +3.8% |
| 2024 | 209,418 million SLC | +2.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 39,599 million SLC | 31,979 million SLC | 44,957 million SLC | 10 |
| 1980s | 43,960 million SLC | 35,638 million SLC | 51,353 million SLC | 10 |
| 1990s | 55,507 million SLC | 38,661 million SLC | 73,311 million SLC | 10 |
| 2000s | 93,920 million SLC | 64,128 million SLC | 126,244 million SLC | 10 |
| 2010s | 152,361 million SLC | 132,331 million SLC | 174,285 million SLC | 10 |
| 2020s | 196,079 million SLC | 181,048 million SLC | 209,418 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)
- Sawnwood — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0162 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -1.77 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 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 209,418 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 209,418 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Mozambique?
- The lowest recorded value was 31,979 million SLC in 1970.
- How does Mozambique rank for value added (agriculture, forestry and fishing) — value standard?
- Mozambique ranks 61st out of 191 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 41.3%. 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, 2015 prices. 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).