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

Latvia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 785.31 million SLC in 2024. ▲ Rising

Latest (2024)
785.31 million SLC
Change on year
up 3.7%
World rank
146th
of 191 countries
All-time high
1,074 million SLC
in 1991
All-time low
470.79 million SLC
in 1999
Years of data
34
1991–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Latvia, 1991–2024

02505007501.0k1991200720241991: 1.1k million SLC1992: 765.5 million SLC1993: 626.4 million SLC1994: 533 million SLC1995: 546.5 million SLC1996: 497.7 million SLC1997: 535.8 million SLC1998: 508 million SLC1999: 470.8 million SLC2000: 550.4 million SLC2001: 601.5 million SLC2002: 642.4 million SLC2003: 627.9 million SLC2004: 648.2 million SLC2005: 704.5 million SLC2006: 678.3 million SLC2007: 727.1 million SLC2008: 690.8 million SLC2009: 769.6 million SLC2010: 714.1 million SLC2011: 742.4 million SLC2012: 795.7 million SLC2013: 744.9 million SLC2014: 823.5 million SLC2015: 844 million SLC2016: 809.7 million SLC2017: 821.9 million SLC2018: 789.5 million SLC2019: 957.3 million SLC2020: 955.3 million SLC2021: 958.7 million SLC2022: 823.7 million SLC2023: 757.4 million SLC2024: 785.3 million SLC

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

Analysis

Latvia recorded 785.31 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.

The figure is up 3.7% on the previous year and down 4.6% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Latvia peaked at 1,074 million SLC in 1991 and was at its lowest, 470.79 million SLC, in 1999.

That places Latvia 146th out of 191 countries with data for 2024, putting it in the bottom quarter.

The long-run direction has been consistently rising across the 34 years of available data.

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Latvia, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Latvia, 1991 to 2024.
Year million SLC Change
1991 1,074 million SLC
1992 765.49 million SLC -28.7%
1993 626.4 million SLC -18.2%
1994 532.99 million SLC -14.9%
1995 546.54 million SLC +2.5%
1996 497.68 million SLC -8.9%
1997 535.81 million SLC +7.7%
1998 508.04 million SLC -5.2%
1999 470.79 million SLC -7.3%
2000 550.44 million SLC +16.9%
2001 601.53 million SLC +9.3%
2002 642.4 million SLC +6.8%
2003 627.9 million SLC -2.3%
2004 648.25 million SLC +3.2%
2005 704.46 million SLC +8.7%
2006 678.34 million SLC -3.7%
2007 727.13 million SLC +7.2%
2008 690.83 million SLC -5.0%
2009 769.58 million SLC +11.4%
2010 714.11 million SLC -7.2%
2011 742.43 million SLC +4.0%
2012 795.7 million SLC +7.2%
2013 744.87 million SLC -6.4%
2014 823.52 million SLC +10.6%
2015 843.98 million SLC +2.5%
2016 809.74 million SLC -4.1%
2017 821.88 million SLC +1.5%
2018 789.52 million SLC -3.9%
2019 957.32 million SLC +21.3%
2020 955.32 million SLC -0.2%
2021 958.74 million SLC +0.4%
2022 823.72 million SLC -14.1%
2023 757.38 million SLC -8.1%
2024 785.31 million SLC +3.7%

Averages by decade

DecadeAverage LowestHighest Years
1990s 617.56 million SLC 470.79 million SLC 1,074 million SLC 9
2000s 664.08 million SLC 550.44 million SLC 769.58 million SLC 10
2010s 804.31 million SLC 714.11 million SLC 957.32 million SLC 10
2020s 856.09 million SLC 757.38 million SLC 958.74 million SLC 5

Countries ranked near Latvia

  1. 143 Oman 958.97 million SLC compare
  2. 144 Fiji 952.74 million SLC compare
  3. 145 Suriname 946.08 million SLC compare
  4. 147 Sao Tome and Principe 771.77 million SLC compare
  5. 148 Trinidad and Tobago 730.7 million SLC compare
  6. 149 Seychelles 711.33 million SLC compare

See the full ranking of 207 places →

More environment data for Latvia

All data for Latvia →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Latvia?
Value added (agriculture, forestry and fishing) — value standard in Latvia was 785.31 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 Latvia?
The highest recorded value was 1,074 million SLC in 1991.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Latvia?
The lowest recorded value was 470.79 million SLC in 1999.
How does Latvia rank for value added (agriculture, forestry and fishing) — value standard?
Latvia ranks 146th out of 191 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Latvia?
Over the last ten years it is down 4.6%. The long-run trend across the full record is rising.
Where does this Latvia 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.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Latvia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 04 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency-2015-prices/latvia/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
207 places, 10,719 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).