Meat and meat products — Vitamin A supply (retinol equivalents) in Belarus

Belarus: Meat and meat products — Vitamin A supply (retinol equivalents) was 619 μg/cap/d in 2023. ▲ Rising

Latest (2023)
619 μg/cap/d
Change on year
up 8.2%
World rank
10th
of 163 countries
All-time high
619 μg/cap/d
in 2023
All-time low
150 μg/cap/d
in 2013
Years of data
14
2010–2023

Meat and meat products — Vitamin A supply (retinol equivalents) in Belarus, 2010–2023

1002003004005006002010201620232010: 177 μg/cap/d2011: 177 μg/cap/d2012: 158 μg/cap/d2013: 150 μg/cap/d2014: 446 μg/cap/d2015: 501 μg/cap/d2016: 473 μg/cap/d2017: 455 μg/cap/d2018: 475 μg/cap/d2019: 504 μg/cap/d2020: 512 μg/cap/d2021: 515 μg/cap/d2022: 572 μg/cap/d2023: 619 μg/cap/d

Source: Food and Agriculture Organization of the United Nations. Measured in μg/cap/d.

Analysis

The most recent figure for meat and meat products — vitamin a supply (retinol equivalents) in Belarus is 619 μg/cap/d, measured in 2023. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 8.2% on the previous year and up 312.7% over ten years.

Over the whole period, meat and meat products — vitamin a supply (retinol equivalents) in Belarus peaked at 619 μg/cap/d in 2023 and was at its lowest, 150 μg/cap/d, in 2013.

Belarus ranks 10th of 163 countries on this measure, in the top 10%.

The long-run direction has been consistently rising across the 14 years of available data.

Meat and meat products — Vitamin A supply (retinol equivalents) in Belarus, year by year

Annual values for Meat and meat products — Vitamin A supply (retinol equivalents) — Value in Belarus, 2010 to 2023.
Year μg/cap/d Change
2010 177 μg/cap/d
2011 177 μg/cap/d +0.0%
2012 158 μg/cap/d -10.7%
2013 150 μg/cap/d -5.1%
2014 446 μg/cap/d +197.3%
2015 501 μg/cap/d +12.3%
2016 473 μg/cap/d -5.6%
2017 455 μg/cap/d -3.8%
2018 475 μg/cap/d +4.4%
2019 504 μg/cap/d +6.1%
2020 512 μg/cap/d +1.6%
2021 515 μg/cap/d +0.6%
2022 572 μg/cap/d +11.1%
2023 619 μg/cap/d +8.2%

Averages by decade

DecadeAverage LowestHighest Years
2010s 351.6 μg/cap/d 150 μg/cap/d 504 μg/cap/d 10
2020s 554.5 μg/cap/d 512 μg/cap/d 619 μg/cap/d 4

Countries ranked near Belarus

  1. 7 China, Macao SAR 682 μg/cap/d compare
  2. 7 Syrian Arab Republic 185 μg/cap/d compare
  3. 8 Argentina 658 μg/cap/d compare
  4. 8 Venezuela (Bolivarian Republic of) 162 μg/cap/d compare
  5. 9 Australia 632 μg/cap/d compare
  6. 9 United Republic of Tanzania 107 μg/cap/d compare
  7. 10 Iran (Islamic Republic of) 96 μg/cap/d compare
  8. 11 Democratic Republic of the Congo 84 μg/cap/d compare
  9. 11 Iceland 597 μg/cap/d compare
  10. 12 Micronesia (Federated States of) 71 μg/cap/d compare
  11. 12 Panama 557 μg/cap/d compare
  12. 13 Belgium 539 μg/cap/d compare
  13. 13 Democratic People's Republic of Korea 28 μg/cap/d compare

See the full ranking of 179 places →

More agriculture & rural data for Belarus

All data for Belarus →

Frequently asked questions

What is meat and meat products — vitamin a supply (retinol equivalents) in Belarus?
Meat and meat products — vitamin a supply (retinol equivalents) in Belarus was 619 μg/cap/d in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest meat and meat products — vitamin a supply (retinol equivalents) recorded in Belarus?
The highest recorded value was 619 μg/cap/d in 2023.
What is the lowest meat and meat products — vitamin a supply (retinol equivalents) recorded in Belarus?
The lowest recorded value was 150 μg/cap/d in 2013.
How does Belarus rank for meat and meat products — vitamin a supply (retinol equivalents)?
Belarus ranks 10th out of 163 countries with data for 2023.
Is meat and meat products — vitamin a supply (retinol equivalents) rising or falling in Belarus?
Over the last ten years it is up 312.7%. The long-run trend across the full record is rising.
Where does this Belarus data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat and meat products — Vitamin A supply (retinol equivalents) — Value. Statizoid updates them automatically from the source API.

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Meat and meat products — Vitamin A supply (retinol equivalents) in Belarus. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://agriculture.statizoid.com/stat/meat-and-meat-products-vitamin-a-supply-retinol-equivalents-value/belarus/

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About this data

Indicator
Meat and meat products — Vitamin A supply (retinol equivalents) — Value
Unit
μg/cap/d
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
179 places, 2,425 data points, 2010–2023
Last refreshed

The dataset presents average daily per capita macro and micro nutrient availability by country and by FAO/WHO GIFT food groups (that are different from those used for the Food Balance Sheets), expressed in grams/milligrams/micrograms/kcal per capita per day. The population numbers used to calculate these statistics can be found in the Supply Utilization Accounts (SUA) dataset of FAOSTAT, as Total Population. Food availability quantities are derived from the SUA dataset. SUAs present a comprehensive picture of the pattern of a country's food supply and utilization during a specified reference period. The SUA shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per capita supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it.