Gross Output (Agriculture, Forestry and Fishing) — Value Standard in Morocco
Morocco: Gross Output (Agriculture, Forestry and Fishing) — Value Standard was 233,194 million SLC in 2023. ▲ Rising
Gross Output (Agriculture, Forestry and Fishing) — Value Standard in Morocco, 2014–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Morocco recorded 233,194 million SLC for gross output (agriculture, forestry and fishing) — value standard in 2023.
Compared with earlier readings it is down 12.7% on the previous year and up 22.1% over ten years.
Over the whole period, gross output (agriculture, forestry and fishing) — value standard in Morocco peaked at 267,003 million SLC in 2022 and was at its lowest, 179,247 million SLC, in 2016.
That places Morocco 35th out of 106 countries with data for 2023, putting it in the middle of the range.
Gross Output (Agriculture, Forestry and Fishing) — Value Standard in Morocco, year by year
| Year | million SLC | Change |
|---|---|---|
| 2014 | 190,940 million SLC | — |
| 2015 | 194,577 million SLC | +1.9% |
| 2016 | 179,247 million SLC | -7.9% |
| 2017 | 229,403 million SLC | +28.0% |
| 2018 | 223,102 million SLC | -2.7% |
| 2019 | 216,500 million SLC | -3.0% |
| 2020 | 210,667 million SLC | -2.7% |
| 2021 | 247,837 million SLC | +17.6% |
| 2022 | 267,003 million SLC | +7.7% |
| 2023 | 233,194 million SLC | -12.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 205,628 million SLC | 179,247 million SLC | 229,403 million SLC | 6 |
| 2020s | 239,675 million SLC | 210,667 million SLC | 267,003 million SLC | 4 |
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)
- Sawnwood, non-coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.0003 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate -16.42 % change on previous year (2024)
- Sawnwood, non-coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is gross output (agriculture, forestry and fishing) — value standard in Morocco?
- Gross output (agriculture, forestry and fishing) — value standard in Morocco was 233,194 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross output (agriculture, forestry and fishing) — value standard recorded in Morocco?
- The highest recorded value was 267,003 million SLC in 2022.
- What is the lowest gross output (agriculture, forestry and fishing) — value standard recorded in Morocco?
- The lowest recorded value was 179,247 million SLC in 2016.
- How does Morocco rank for gross output (agriculture, forestry and fishing) — value standard?
- Morocco ranks 35th out of 106 countries with data for 2023.
- Is gross output (agriculture, forestry and fishing) — value standard rising or falling in Morocco?
- Over the last ten years it is up 22.1%. The long-run trend across the full record is rising.
- Where does this Morocco data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Output (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
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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).