Value Added (Agriculture, Forestry and Fishing) — Value Standard in Guatemala
Guatemala: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 86,701 million SLC in 2024. ◆ Volatile
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
Guatemala recorded 86,701 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 8.5% on the previous year and up 92.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Guatemala peaked at 86,701 million SLC in 2024 and was at its lowest, 274.74 million SLC, in 1970.
Guatemala ranks 82nd of 199 countries on this measure, 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 Guatemala, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 274.74 million SLC | — |
| 1971 | 290.41 million SLC | +5.7% |
| 1972 | 313.99 million SLC | +8.1% |
| 1973 | 378.54 million SLC | +20.6% |
| 1974 | 465.9 million SLC | +23.1% |
| 1975 | 540.18 million SLC | +15.9% |
| 1976 | 629.39 million SLC | +16.5% |
| 1977 | 761.53 million SLC | +21.0% |
| 1978 | 828.72 million SLC | +8.8% |
| 1979 | 925.45 million SLC | +11.7% |
| 1980 | 1,034 million SLC | +11.7% |
| 1981 | 1,136 million SLC | +9.9% |
| 1982 | 1,157 million SLC | +1.8% |
| 1983 | 1,211 million SLC | +4.7% |
| 1984 | 1,282 million SLC | +5.8% |
| 1985 | 1,527 million SLC | +19.1% |
| 1986 | 2,143 million SLC | +40.3% |
| 1987 | 2,430 million SLC | +13.4% |
| 1988 | 2,805 million SLC | +15.4% |
| 1989 | 3,207 million SLC | +14.3% |
| 1990 | 4,691 million SLC | +46.3% |
| 1991 | 6,432 million SLC | +37.1% |
| 1992 | 7,210 million SLC | +12.1% |
| 1993 | 8,438 million SLC | +17.0% |
| 1994 | 9,658 million SLC | +14.5% |
| 1995 | 10,864 million SLC | +12.5% |
| 1996 | 12,133 million SLC | +11.7% |
| 1997 | 13,520 million SLC | +11.4% |
| 1998 | 15,356 million SLC | +13.6% |
| 1999 | 16,470 million SLC | +7.3% |
| 2000 | 18,051 million SLC | +9.6% |
| 2001 | 19,648 million SLC | +8.8% |
| 2002 | 21,719 million SLC | +10.5% |
| 2003 | 22,120 million SLC | +1.8% |
| 2004 | 23,478 million SLC | +6.1% |
| 2005 | 24,674 million SLC | +5.1% |
| 2006 | 24,816 million SLC | +0.6% |
| 2007 | 28,732 million SLC | +15.8% |
| 2008 | 31,622 million SLC | +10.1% |
| 2009 | 34,413 million SLC | +8.8% |
| 2010 | 35,294 million SLC | +2.6% |
| 2011 | 39,384 million SLC | +11.6% |
| 2012 | 39,930 million SLC | +1.4% |
| 2013 | 43,122 million SLC | +8.0% |
| 2014 | 45,066 million SLC | +4.5% |
| 2015 | 47,445 million SLC | +5.3% |
| 2016 | 48,500 million SLC | +2.2% |
| 2017 | 51,052 million SLC | +5.3% |
| 2018 | 52,024 million SLC | +1.9% |
| 2019 | 55,885 million SLC | +7.4% |
| 2020 | 59,570 million SLC | +6.6% |
| 2021 | 61,434 million SLC | +3.1% |
| 2022 | 67,623 million SLC | +10.1% |
| 2023 | 79,925 million SLC | +18.2% |
| 2024 | 86,701 million SLC | +8.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 540.88 million SLC | 274.74 million SLC | 925.45 million SLC | 10 |
| 1980s | 1,793 million SLC | 1,034 million SLC | 3,207 million SLC | 10 |
| 1990s | 10,477 million SLC | 4,691 million SLC | 16,470 million SLC | 10 |
| 2000s | 24,927 million SLC | 18,051 million SLC | 34,413 million SLC | 10 |
| 2010s | 45,770 million SLC | 35,294 million SLC | 55,885 million SLC | 10 |
| 2020s | 71,051 million SLC | 59,570 million SLC | 86,701 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)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0306 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 18.95 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0047 t per person (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 86,701 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 86,701 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Guatemala?
- The lowest recorded value was 274.74 million SLC in 1970.
- How does Guatemala rank for value added (agriculture, forestry and fishing) — value standard?
- Guatemala ranks 82nd out of 199 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 92.4%. 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) — 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).