Value Added (Agriculture, Forestry and Fishing) — Value Standard in Morocco
Morocco: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 154,881 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Morocco, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Morocco is 154,881 million SLC, measured in 2024.
The figure is down 4.3% on the previous year and up 49.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Morocco peaked at 161,915 million SLC in 2023 and was at its lowest, 4,360 million SLC, in 1970.
That places Morocco 74th 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 Morocco, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 4,360 million SLC | — |
| 1971 | 5,201 million SLC | +19.3% |
| 1972 | 5,420 million SLC | +4.2% |
| 1973 | 5,835 million SLC | +7.7% |
| 1974 | 7,572 million SLC | +29.8% |
| 1975 | 7,124 million SLC | -5.9% |
| 1976 | 8,916 million SLC | +25.2% |
| 1977 | 8,905 million SLC | -0.1% |
| 1978 | 11,408 million SLC | +28.1% |
| 1979 | 12,151 million SLC | +6.5% |
| 1980 | 14,915 million SLC | +22.8% |
| 1981 | 11,156 million SLC | -25.2% |
| 1982 | 15,538 million SLC | +39.3% |
| 1983 | 16,423 million SLC | +5.7% |
| 1984 | 18,412 million SLC | +12.1% |
| 1985 | 23,493 million SLC | +27.6% |
| 1986 | 32,256 million SLC | +37.3% |
| 1987 | 26,301 million SLC | -18.5% |
| 1988 | 34,256 million SLC | +30.2% |
| 1989 | 36,463 million SLC | +6.4% |
| 1990 | 41,172 million SLC | +12.9% |
| 1991 | 53,214 million SLC | +29.2% |
| 1992 | 40,834 million SLC | -23.3% |
| 1993 | 39,992 million SLC | -2.1% |
| 1994 | 56,556 million SLC | +41.4% |
| 1995 | 44,975 million SLC | -20.5% |
| 1996 | 67,346 million SLC | +49.7% |
| 1997 | 53,694 million SLC | -20.3% |
| 1998 | 64,699 million SLC | +20.5% |
| 1999 | 56,599 million SLC | -12.5% |
| 2000 | 49,044 million SLC | -13.3% |
| 2001 | 58,841 million SLC | +20.0% |
| 2002 | 61,451 million SLC | +4.4% |
| 2003 | 69,408 million SLC | +12.9% |
| 2004 | 69,594 million SLC | +0.3% |
| 2005 | 65,307 million SLC | -6.2% |
| 2006 | 82,128 million SLC | +25.8% |
| 2007 | 70,342 million SLC | -14.4% |
| 2008 | 85,304 million SLC | +21.3% |
| 2009 | 96,552 million SLC | +13.2% |
| 2010 | 100,032 million SLC | +3.6% |
| 2011 | 105,275 million SLC | +5.2% |
| 2012 | 101,552 million SLC | -3.5% |
| 2013 | 116,408 million SLC | +14.6% |
| 2014 | 103,682 million SLC | -10.9% |
| 2015 | 127,177 million SLC | +22.7% |
| 2016 | 112,948 million SLC | -11.2% |
| 2017 | 128,220 million SLC | +13.5% |
| 2018 | 135,128 million SLC | +5.4% |
| 2019 | 134,428 million SLC | -0.5% |
| 2020 | 122,896 million SLC | -8.6% |
| 2021 | 152,906 million SLC | +24.4% |
| 2022 | 130,636 million SLC | -14.6% |
| 2023 | 161,915 million SLC | +23.9% |
| 2024 | 154,881 million SLC | -4.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 7,689 million SLC | 4,360 million SLC | 12,151 million SLC | 10 |
| 1980s | 22,921 million SLC | 11,156 million SLC | 36,463 million SLC | 10 |
| 1990s | 51,908 million SLC | 39,992 million SLC | 67,346 million SLC | 10 |
| 2000s | 70,797 million SLC | 49,044 million SLC | 96,552 million SLC | 10 |
| 2010s | 116,485 million SLC | 100,032 million SLC | 135,128 million SLC | 10 |
| 2020s | 144,647 million SLC | 122,896 million SLC | 161,915 million SLC | 5 |
Countries ranked near Morocco
More environment data for Morocco
- Historical exposure to drought — Land soil moisture anomaly -19.84 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -12.62 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.521 °C (2025)
- Temperature change 2.14 °C (2025)
- Other paper and paperboard, not elsewhere specified — Import -51.72 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0003 t per person (2024)
- Exposure to drought — Land soil moisture anomaly -18.2 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -13.23 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value -30.85 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Morocco?
- Value added (agriculture, forestry and fishing) — value standard in Morocco was 154,881 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 Morocco?
- The highest recorded value was 161,915 million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Morocco?
- The lowest recorded value was 4,360 million SLC in 1970.
- How does Morocco rank for value added (agriculture, forestry and fishing) — value standard?
- Morocco ranks 74th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Morocco?
- Over the last ten years it is up 49.4%. The long-run trend across the full record is volatile.
- Where does this Morocco 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).