Value Added (Agriculture) — Annual growth US$ in Latvia
Latvia: Value Added (Agriculture) — Annual growth US$ was 16.38 % in 2021. ◆ Volatile
Value Added (Agriculture) — Annual growth US$ in Latvia, 1996–2021
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2021, value added (agriculture) — annual growth us$ in Latvia stood at 16.38 %.
Compared with earlier readings it is down 17.3% on the previous year and up 120.7% over ten years.
Over the whole period, value added (agriculture) — annual growth us$ in Latvia peaked at 37.79 % in 2004 and was at its lowest, -26.81 %, in 1998.
Latvia ranks 15th of 77 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture) — Annual growth US$ in Latvia, year by year
| Year | % | Change |
|---|---|---|
| 1996 | -2.73 % | — |
| 1997 | -23.25 % | +750.9% |
| 1998 | -26.81 % | +15.3% |
| 1999 | -11.65 % | -56.6% |
| 2000 | 32.94 % | -382.9% |
| 2001 | 10.8 % | -67.2% |
| 2002 | 7.53 % | -30.3% |
| 2003 | 9.44 % | +25.4% |
| 2004 | 37.79 % | +300.3% |
| 2005 | 5.52 % | -85.4% |
| 2006 | 3.86 % | -30.1% |
| 2007 | 33.6 % | +771.3% |
| 2008 | -4.48 % | -113.3% |
| 2009 | -23.85 % | +432.8% |
| 2010 | 11.9 % | -149.9% |
| 2011 | 7.42 % | -37.6% |
| 2012 | 0.933 % | -87.4% |
| 2013 | -17.19 % | -1942.6% |
| 2014 | 23.85 % | -238.8% |
| 2015 | -5.89 % | -124.7% |
| 2016 | -9.37 % | +59.1% |
| 2017 | 28.42 % | -403.3% |
| 2018 | -4.32 % | -115.2% |
| 2019 | 15.55 % | -459.6% |
| 2020 | 19.82 % | +27.5% |
| 2021 | 16.38 % | -17.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -16.11 % | -26.81 % | -2.73 % | 4 |
| 2000s | 11.31 % | -23.85 % | 37.79 % | 10 |
| 2010s | 5.13 % | -17.19 % | 28.42 % | 10 |
| 2020s | 18.1 % | 16.38 % | 19.82 % | 2 |
Countries ranked near Latvia
More agriculture & rural data for Latvia
- Agriculture, forestry, and fishing, value added (current US$), annual 12.21 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0401 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 1,055 current US$ per person (2025)
- Rural population, annual growth rate -1.45 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3137 units per person (2025)
- Agriculture share gdp 4.01 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 4.01 (2025)
- Agricultural raw materials exports 9.8% (2025)
- Agricultural raw materials imports 2.1% (2025)
Frequently asked questions
- What is value added (agriculture) — annual growth us$ in Latvia?
- Value added (agriculture) — annual growth us$ in Latvia was 16.38 % in 2021, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture) — annual growth us$ recorded in Latvia?
- The highest recorded value was 37.79 % in 2004.
- What is the lowest value added (agriculture) — annual growth us$ recorded in Latvia?
- The lowest recorded value was -26.81 % in 1998.
- How does Latvia rank for value added (agriculture) — annual growth us$?
- Latvia ranks 15th out of 77 countries with data for 2021.
- Is value added (agriculture) — annual growth us$ rising or falling in Latvia?
- Over the last ten years it is up 120.7%. The long-run trend across the full record is volatile.
- 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) — Annual growth US$. Statizoid updates them automatically from the source API.
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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).