Value Added (Agriculture, Forestry and Fishing) β Value US$ in Guatemala
Guatemala: Value Added (Agriculture, Forestry and Fishing) β Value US$ was 11,175 million USD in 2024. β Volatile
Value Added (Agriculture, Forestry and Fishing) β Value US$ in Guatemala, 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) β value us$ in Guatemala stood at 11,175 million USD. That is the highest value across all 55 years on record.
That represents a change of up 9.5% on the previous year and up 91.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value us$ in Guatemala peaked at 11,175 million USD in 2024 and was at its lowest, 274.74 million USD, in 1970.
Guatemala ranks 53rd of 217 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 540.88 million USD | 274.74 million USD | 925.45 million USD | 10 |
| 1980s | 1,167 million USD | 972.18 million USD | 1,527 million USD | 10 |
| 1990s | 1,763 million USD | 1,046 million USD | 2,401 million USD | 10 |
| 2000s | 3,198 million USD | 2,325 million USD | 4,216 million USD | 10 |
| 2010s | 5,956 million USD | 4,380 million USD | 7,261 million USD | 10 |
| 2020s | 9,153 million USD | 7,715 million USD | 11,175 million USD | 5 |
Countries ranked near Guatemala
- 50 Kazakhstan 13,019 million USD compare
- 51 Romania 12,542 million USD compare
- 52 Democratic Republic of the Congo 12,136 million USD compare
- 54 Ecuador 11,129 million USD compare
- 55 Yugoslav SFR 10,197 million USD compare
- 56 Norway 9,982 million USD compare
More environment data for Guatemala
- Standard Deviation 0.273 Β°C (2025)
- Temperature change 1.47 Β°C (2025)
- Recovered paper β Production 115,000 t (2024)
- Total fibre furnish β Production 115,000 t (2024)
- Other paper and paperboard, not elsewhere specified β Import value 823 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified β Import quantity 163 t (2024)
- Other paper and paperboard β Export value 36,322 1000 USD (2024)
- Other paper and paperboard β Export quantity 32,657 t (2024)
- Other paper and paperboard β Import value 467,848 1000 USD (2024)
- Other paper and paperboard β Import quantity 619,094 t (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value us$ in Guatemala?
- Value added (agriculture, forestry and fishing) β value us$ in Guatemala was 11,175 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) β value us$ recorded in Guatemala?
- The highest recorded value was 11,175 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) β value us$ recorded in Guatemala?
- The lowest recorded value was 274.74 million USD in 1970.
- How does Guatemala rank for value added (agriculture, forestry and fishing) β value us$?
- Guatemala ranks 53rd out of 217 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) β value us$ rising or falling in Guatemala?
- Over the last ten years it is up 91.7%. The long-run trend across the full record is volatile.
- Where does this Guatemala 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) β Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 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).