Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in San Marino
San Marino: Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 was 0.6579 million USD in 2022. ▼ Falling
Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in San Marino, 2014–2022
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2022, gross output (agriculture, forestry and fishing) — value us$, 2015 in San Marino stood at 0.6579 million USD.
The figure is down 15.2% on the previous year and down 46.6% over ten years.
Over the whole period, gross output (agriculture, forestry and fishing) — value us$, 2015 in San Marino peaked at 1.23 million USD in 2014 and was at its lowest, 0.5766 million USD, in 2020.
San Marino ranks 106th of 106 countries on this measure, in the bottom quarter.
Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in San Marino, year by year
| Year | million USD | Change |
|---|---|---|
| 2014 | 1.23 million USD | — |
| 2015 | 1.1 million USD | -10.9% |
| 2016 | 0.742 million USD | -32.4% |
| 2017 | 1.07 million USD | +44.2% |
| 2018 | 0.7041 million USD | -34.2% |
| 2019 | 0.6523 million USD | -7.4% |
| 2020 | 0.5766 million USD | -11.6% |
| 2021 | 0.7758 million USD | +34.5% |
| 2022 | 0.6579 million USD | -15.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.9162 million USD | 0.6523 million USD | 1.23 million USD | 6 |
| 2020s | 0.6701 million USD | 0.5766 million USD | 0.7758 million USD | 3 |
Countries ranked near San Marino
- 103 Cayman Islands 29.98 million USD compare
- 104 Curaçao 21.88 million USD
- 105 British Virgin Islands 3.45 million USD compare
More environment data for San Marino
- Historical exposure to drought — Land soil moisture anomaly 6.82 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 6.82 Percentage change (2025)
- Standard Deviation 0.361 °C (2025)
- Temperature change 2.11 °C (2025)
- Agricultural land — Share in Land area 42.33 % (2024)
- Permanent crops — Area 0.3125 1000 ha (2024)
- Cropland — Area 1.57 1000 ha (2024)
- Cropland — Share in Agricultural land 60.59 % (2024)
- Cropland — Share in Land area 25.65 % (2024)
Frequently asked questions
- What is gross output (agriculture, forestry and fishing) — value us$, 2015 in San Marino?
- Gross output (agriculture, forestry and fishing) — value us$, 2015 in San Marino was 0.6579 million USD in 2022, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross output (agriculture, forestry and fishing) — value us$, 2015 recorded in San Marino?
- The highest recorded value was 1.23 million USD in 2014.
- What is the lowest gross output (agriculture, forestry and fishing) — value us$, 2015 recorded in San Marino?
- The lowest recorded value was 0.5766 million USD in 2020.
- How does San Marino rank for gross output (agriculture, forestry and fishing) — value us$, 2015?
- San Marino ranks 106th out of 106 countries with data for 2022.
- Is gross output (agriculture, forestry and fishing) — value us$, 2015 rising or falling in San Marino?
- Over the last ten years it is down 46.6%. The long-run trend across the full record is falling.
- Where does this San Marino 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 US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 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).