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

Haiti: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 550,286 million SLC in 2024. ◆ Volatile

Latest (2024)
550,286 million SLC
Change on year
up 8.3%
World rank
55th
of 199 countries
All-time high
550,286 million SLC
in 2024
All-time low
967.52 million SLC
in 1970
Years of data
55
1970–2024

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

0200.0k400.0k600.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

Haiti recorded 550,286 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 8.3% on the previous year and up 356.6% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Haiti peaked at 550,286 million SLC in 2024 and was at its lowest, 967.52 million SLC, in 1970.

Haiti ranks 55th 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 Haiti, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Haiti, 1970 to 2024.
Year million SLC Change
1970 967.52 million SLC
1971 1,026 million SLC +6.1%
1972 1,039 million SLC +1.3%
1973 1,274 million SLC +22.5%
1974 1,494 million SLC +17.3%
1975 1,848 million SLC +23.7%
1976 2,221 million SLC +20.2%
1977 2,240 million SLC +0.8%
1978 2,237 million SLC -0.1%
1979 2,456 million SLC +9.7%
1980 2,956 million SLC +20.4%
1981 3,071 million SLC +3.9%
1982 3,175 million SLC +3.4%
1983 3,335 million SLC +5.0%
1984 3,850 million SLC +15.4%
1985 4,260 million SLC +10.7%
1986 4,882 million SLC +14.6%
1987 4,353 million SLC -10.8%
1988 4,154 million SLC -4.6%
1989 4,368 million SLC +5.2%
1990 4,907 million SLC +12.4%
1991 5,885 million SLC +19.9%
1992 7,855 million SLC +33.5%
1993 8,118 million SLC +3.4%
1994 12,586 million SLC +55.0%
1995 11,375 million SLC -9.6%
1996 11,015 million SLC -3.2%
1997 13,908 million SLC +26.3%
1998 16,850 million SLC +21.1%
1999 20,173 million SLC +19.7%
2000 23,166 million SLC +14.8%
2001 24,954 million SLC +7.7%
2002 26,194 million SLC +5.0%
2003 33,808 million SLC +29.1%
2004 37,757 million SLC +11.7%
2005 49,620 million SLC +31.4%
2006 54,349 million SLC +9.5%
2007 66,483 million SLC +22.3%
2008 73,249 million SLC +10.2%
2009 86,079 million SLC +17.5%
2010 96,721 million SLC +12.4%
2011 105,051 million SLC +8.6%
2012 110,977 million SLC +5.6%
2013 124,213 million SLC +11.9%
2014 120,513 million SLC -3.0%
2015 124,165 million SLC +3.0%
2016 152,753 million SLC +23.0%
2017 186,516 million SLC +22.1%
2018 200,728 million SLC +7.6%
2019 242,411 million SLC +20.8%
2020 295,233 million SLC +21.8%
2021 350,297 million SLC +18.7%
2022 439,615 million SLC +25.5%
2023 508,007 million SLC +15.6%
2024 550,286 million SLC +8.3%

Averages by decade

DecadeAverage LowestHighest Years
1970s 1,680 million SLC 967.52 million SLC 2,456 million SLC 10
1980s 3,840 million SLC 2,956 million SLC 4,882 million SLC 10
1990s 11,267 million SLC 4,907 million SLC 20,173 million SLC 10
2000s 47,566 million SLC 23,166 million SLC 86,079 million SLC 10
2010s 146,405 million SLC 96,721 million SLC 242,411 million SLC 10
2020s 428,688 million SLC 295,233 million SLC 550,286 million SLC 5

Countries ranked near Haiti

  1. 52 Gabon 778,515 million SLC compare
  2. 53 Brazil 655,317 million SLC compare
  3. 54 Guinea-Bissau 551,398 million SLC compare
  4. 56 Central African Republic 542,162 million SLC compare
  5. 57 Ukraine 526,787 million SLC compare
  6. 58 Afghanistan 502,630 million SLC compare

See the full ranking of 215 places →

More environment data for Haiti

All data for Haiti →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Haiti?
Value added (agriculture, forestry and fishing) — value standard in Haiti was 550,286 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 Haiti?
The highest recorded value was 550,286 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Haiti?
The lowest recorded value was 967.52 million SLC in 1970.
How does Haiti rank for value added (agriculture, forestry and fishing) — value standard?
Haiti ranks 55th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Haiti?
Over the last ten years it is up 356.6%. The long-run trend across the full record is volatile.
Where does this Haiti 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 Haiti. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/haiti/

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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).