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

Ukraine: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 526,787 million SLC in 2024. ◆ Volatile

Latest (2024)
526,787 million SLC
Change on year
up 8.8%
World rank
57th
of 199 countries
All-time high
593,367 million SLC
in 2021
All-time low
0.7364 million SLC
in 1991
Years of data
34
1991–2024

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

0200.0k400.0k600.0k1991200720241991: 0.736 million SLC1992: 10.5 million SLC1993: 319.2 million SLC1994: 1.8k million SLC1995: 7.5k million SLC1996: 10.0k million SLC1997: 11.7k million SLC1998: 12.4k million SLC1999: 15.5k million SLC2000: 24.6k million SLC2001: 29.5k million SLC2002: 29.5k million SLC2003: 29.1k million SLC2004: 37.3k million SLC2005: 40.6k million SLC2006: 40.9k million SLC2007: 47.2k million SLC2008: 64.8k million SLC2009: 65.4k million SLC2010: 80.4k million SLC2011: 106.6k million SLC2012: 109.8k million SLC2013: 128.7k million SLC2014: 161.1k million SLC2015: 239.8k million SLC2016: 279.7k million SLC2017: 303.4k million SLC2018: 361.0k million SLC2019: 356.6k million SLC2020: 393.1k million SLC2021: 593.4k million SLC2022: 449.1k million SLC2023: 484.1k million SLC2024: 526.8k million SLC

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 Ukraine stood at 526,787 million SLC.

The figure is up 8.8% on the previous year and up 226.9% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Ukraine peaked at 593,367 million SLC in 2021 and was at its lowest, 0.7364 million SLC, in 1991.

Ukraine ranks 57th 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 Ukraine, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Ukraine, 1991 to 2024.
Year million SLC Change
1991 0.7364 million SLC
1992 10.49 million SLC +1324.0%
1993 319.16 million SLC +2943.3%
1994 1,753 million SLC +449.2%
1995 7,501 million SLC +327.9%
1996 9,962 million SLC +32.8%
1997 11,676 million SLC +17.2%
1998 12,372 million SLC +6.0%
1999 15,479 million SLC +25.1%
2000 24,573 million SLC +58.8%
2001 29,514 million SLC +20.1%
2002 29,509 million SLC -0.0%
2003 29,121 million SLC -1.3%
2004 37,317 million SLC +28.1%
2005 40,589 million SLC +8.8%
2006 40,902 million SLC +0.8%
2007 47,192 million SLC +15.4%
2008 64,754 million SLC +37.2%
2009 65,397 million SLC +1.0%
2010 80,385 million SLC +22.9%
2011 106,555 million SLC +32.6%
2012 109,785 million SLC +3.0%
2013 128,738 million SLC +17.3%
2014 161,145 million SLC +25.2%
2015 239,806 million SLC +48.8%
2016 279,701 million SLC +16.6%
2017 303,419 million SLC +8.5%
2018 360,998 million SLC +19.0%
2019 356,563 million SLC -1.2%
2020 393,077 million SLC +10.2%
2021 593,367 million SLC +51.0%
2022 449,148 million SLC -24.3%
2023 484,150 million SLC +7.8%
2024 526,787 million SLC +8.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 6,564 million SLC 0.7364 million SLC 15,479 million SLC 9
2000s 40,887 million SLC 24,573 million SLC 65,397 million SLC 10
2010s 212,710 million SLC 80,385 million SLC 360,998 million SLC 10
2020s 489,306 million SLC 393,077 million SLC 593,367 million SLC 5

Countries ranked near Ukraine

  1. 54 Guinea-Bissau 551,398 million SLC compare
  2. 55 Haiti 550,286 million SLC compare
  3. 56 Central African Republic 542,162 million SLC compare
  4. 58 Afghanistan 502,630 million SLC compare
  5. 59 Dominican Republic 492,876 million SLC compare
  6. 60 South Sudan 468,790 million SLC compare

See the full ranking of 215 places →

More environment data for Ukraine

All data for Ukraine →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Ukraine?
Value added (agriculture, forestry and fishing) — value standard in Ukraine was 526,787 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 Ukraine?
The highest recorded value was 593,367 million SLC in 2021.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Ukraine?
The lowest recorded value was 0.7364 million SLC in 1991.
How does Ukraine rank for value added (agriculture, forestry and fishing) — value standard?
Ukraine ranks 57th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Ukraine?
Over the last ten years it is up 226.9%. The long-run trend across the full record is volatile.
Where does this Ukraine 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 Ukraine. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/ukraine/

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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).