Value Added (Agriculture, Forestry and Fishing) — Value Standard in Panama

Panama: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2,211 million SLC in 2024. ◆ Volatile

Latest (2024)
2,211 million SLC
Change on year
up 8.9%
World rank
146th
of 199 countries
All-time high
2,211 million SLC
in 2024
All-time low
136.5 million SLC
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Panama, 1970–2024

05001.0k1.5k2.0k197019972024

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 Panama stood at 2,211 million SLC. That is the highest value across all 55 years on record.

That represents a change of up 8.9% on the previous year and up 46.7% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Panama peaked at 2,211 million SLC in 2024 and was at its lowest, 136.5 million SLC, in 1970.

That places Panama 146th out of 199 countries with data for 2024, putting it 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 Panama, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Panama, 1970 to 2024.
Year million SLC Change
1970 136.5 million SLC
1971 150.51 million SLC +10.3%
1972 157.14 million SLC +4.4%
1973 169.92 million SLC +8.1%
1974 168.03 million SLC -1.1%
1975 198.41 million SLC +18.1%
1976 221.61 million SLC +11.7%
1977 256.63 million SLC +15.8%
1978 283.04 million SLC +10.3%
1979 305.86 million SLC +8.1%
1980 335.3 million SLC +9.6%
1981 371.73 million SLC +10.9%
1982 382.86 million SLC +3.0%
1983 420.61 million SLC +9.9%
1984 410.09 million SLC -2.5%
1985 440.75 million SLC +7.5%
1986 489.54 million SLC +11.1%
1987 497.23 million SLC +1.6%
1988 461.2 million SLC -7.2%
1989 493.99 million SLC +7.1%
1990 509.88 million SLC +3.2%
1991 531.64 million SLC +4.3%
1992 546.21 million SLC +2.7%
1993 568.07 million SLC +4.0%
1994 593.88 million SLC +4.5%
1995 609.47 million SLC +2.6%
1996 623.43 million SLC +2.3%
1997 661.85 million SLC +6.2%
1998 730.23 million SLC +10.3%
1999 716.88 million SLC -1.8%
2000 760.01 million SLC +6.0%
2001 826.09 million SLC +8.7%
2002 852.31 million SLC +3.2%
2003 923.09 million SLC +8.3%
2004 948.74 million SLC +2.8%
2005 966.79 million SLC +1.9%
2006 1,008 million SLC +4.3%
2007 1,032 million SLC +2.4%
2008 1,138 million SLC +10.3%
2009 1,043 million SLC -8.4%
2010 1,087 million SLC +4.2%
2011 1,154 million SLC +6.2%
2012 1,281 million SLC +11.1%
2013 1,410 million SLC +10.0%
2014 1,508 million SLC +7.0%
2015 1,610 million SLC +6.8%
2016 1,622 million SLC +0.7%
2017 1,610 million SLC -0.8%
2018 1,595 million SLC -0.9%
2019 1,644 million SLC +3.0%
2020 1,681 million SLC +2.3%
2021 1,790 million SLC +6.4%
2022 2,004 million SLC +12.0%
2023 2,031 million SLC +1.3%
2024 2,211 million SLC +8.9%

Averages by decade

DecadeAverage LowestHighest Years
1970s 204.77 million SLC 136.5 million SLC 305.86 million SLC 10
1980s 430.33 million SLC 335.3 million SLC 497.23 million SLC 10
1990s 609.15 million SLC 509.88 million SLC 730.23 million SLC 10
2000s 949.88 million SLC 760.01 million SLC 1,138 million SLC 10
2010s 1,452 million SLC 1,087 million SLC 1,644 million SLC 10
2020s 1,943 million SLC 1,681 million SLC 2,211 million SLC 5

Countries ranked near Panama

  1. 143 Lesotho 2,706 million SLC compare
  2. 144 Slovakia 2,486 million SLC compare
  3. 145 Qatar 2,292 million SLC compare
  4. 147 Sao Tome and Principe 2,199 million SLC compare
  5. 148 Bosnia and Herzegovina 2,186 million SLC compare
  6. 149 Lithuania 2,018 million SLC compare

See the full ranking of 215 places →

More environment data for Panama

All data for Panama →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Panama?
Value added (agriculture, forestry and fishing) — value standard in Panama was 2,211 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 Panama?
The highest recorded value was 2,211 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Panama?
The lowest recorded value was 136.5 million SLC in 1970.
How does Panama rank for value added (agriculture, forestry and fishing) — value standard?
Panama ranks 146th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Panama?
Over the last ten years it is up 46.7%. The long-run trend across the full record is volatile.
Where does this Panama 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.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Panama. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/panama/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 data points, 1970–2024
Last refreshed

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).