Value Added (Agriculture, Forestry and Fishing) — Value Standard in Guatemala
Guatemala: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 57,292 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Guatemala, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Guatemala stood at 57,292 million SLC. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 0.1% on the previous year and up 23.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Guatemala peaked at 57,292 million SLC in 2024 and was at its lowest, 12,809 million SLC, in 1970.
Guatemala ranks 78th of 191 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Guatemala, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 12,809 million SLC | — |
| 1971 | 13,714 million SLC | +7.1% |
| 1972 | 15,033 million SLC | +9.6% |
| 1973 | 15,828 million SLC | +5.3% |
| 1974 | 16,840 million SLC | +6.4% |
| 1975 | 17,261 million SLC | +2.5% |
| 1976 | 18,038 million SLC | +4.5% |
| 1977 | 18,742 million SLC | +3.9% |
| 1978 | 19,333 million SLC | +3.2% |
| 1979 | 19,880 million SLC | +2.8% |
| 1980 | 20,194 million SLC | +1.6% |
| 1981 | 20,439 million SLC | +1.2% |
| 1982 | 19,825 million SLC | -3.0% |
| 1983 | 19,485 million SLC | -1.7% |
| 1984 | 19,788 million SLC | +1.6% |
| 1985 | 19,861 million SLC | +0.4% |
| 1986 | 19,696 million SLC | -0.8% |
| 1987 | 20,466 million SLC | +3.9% |
| 1988 | 21,386 million SLC | +4.5% |
| 1989 | 22,043 million SLC | +3.1% |
| 1990 | 22,945 million SLC | +4.1% |
| 1991 | 23,657 million SLC | +3.1% |
| 1992 | 24,363 million SLC | +3.0% |
| 1993 | 24,899 million SLC | +2.2% |
| 1994 | 25,509 million SLC | +2.4% |
| 1995 | 26,419 million SLC | +3.6% |
| 1996 | 27,078 million SLC | +2.5% |
| 1997 | 27,873 million SLC | +2.9% |
| 1998 | 28,912 million SLC | +3.7% |
| 1999 | 29,521 million SLC | +2.1% |
| 2000 | 30,288 million SLC | +2.6% |
| 2001 | 30,638 million SLC | +1.2% |
| 2002 | 32,279 million SLC | +5.4% |
| 2003 | 33,089 million SLC | +2.5% |
| 2004 | 34,463 million SLC | +4.2% |
| 2005 | 35,196 million SLC | +2.1% |
| 2006 | 35,636 million SLC | +1.3% |
| 2007 | 37,731 million SLC | +5.9% |
| 2008 | 38,065 million SLC | +0.9% |
| 2009 | 39,513 million SLC | +3.8% |
| 2010 | 39,414 million SLC | -0.3% |
| 2011 | 41,395 million SLC | +5.0% |
| 2012 | 43,440 million SLC | +4.9% |
| 2013 | 45,501 million SLC | +4.7% |
| 2014 | 46,231 million SLC | +1.6% |
| 2015 | 47,445 million SLC | +2.6% |
| 2016 | 48,578 million SLC | +2.4% |
| 2017 | 50,185 million SLC | +3.3% |
| 2018 | 51,444 million SLC | +2.5% |
| 2019 | 52,318 million SLC | +1.7% |
| 2020 | 52,271 million SLC | -0.1% |
| 2021 | 54,489 million SLC | +4.2% |
| 2022 | 56,019 million SLC | +2.8% |
| 2023 | 57,249 million SLC | +2.2% |
| 2024 | 57,292 million SLC | +0.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 16,748 million SLC | 12,809 million SLC | 19,880 million SLC | 10 |
| 1980s | 20,318 million SLC | 19,485 million SLC | 22,043 million SLC | 10 |
| 1990s | 26,118 million SLC | 22,945 million SLC | 29,521 million SLC | 10 |
| 2000s | 34,690 million SLC | 30,288 million SLC | 39,513 million SLC | 10 |
| 2010s | 46,595 million SLC | 39,414 million SLC | 52,318 million SLC | 10 |
| 2020s | 55,464 million SLC | 52,271 million SLC | 57,292 million SLC | 5 |
Countries ranked near Guatemala
More environment data for Guatemala
- Historical exposure to drought — Land soil moisture anomaly -4.45 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.02 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.273 °C (2025)
- Temperature change 1.47 °C (2025)
- Sawnwood, non-coniferous — Production, annual growth rate 17.73 % 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 0.0044 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate 35.9 % 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 value added (agriculture, forestry and fishing) — value standard in Guatemala?
- Value added (agriculture, forestry and fishing) — value standard in Guatemala was 57,292 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 Guatemala?
- The highest recorded value was 57,292 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Guatemala?
- The lowest recorded value was 12,809 million SLC in 1970.
- How does Guatemala rank for value added (agriculture, forestry and fishing) — value standard?
- Guatemala ranks 78th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Guatemala?
- Over the last ten years it is up 23.9%. The long-run trend across the full record is rising.
- 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) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).