Sugar & Sweeteners — Losses in Dominican Republic
Dominican Republic: Sugar & Sweeteners — Losses was 0 1000 t in 2023. ◆ Volatile
Sugar & Sweeteners — Losses in Dominican Republic, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for sugar & sweeteners — losses in Dominican Republic is 0 1000 t, measured in 2023. That is the lowest value across all 14 years on record.
That represents a change of down 100.0% over ten years.
Over the whole period, sugar & sweeteners — losses in Dominican Republic peaked at 19 1000 t in 2015 and was at its lowest, 0 1000 t, in 2019.
That places Dominican Republic 39th out of 121 countries with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar & Sweeteners — Losses in Dominican Republic, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 16 1000 t | — |
| 2011 | 16 1000 t | +0.0% |
| 2012 | 17 1000 t | +6.2% |
| 2013 | 16 1000 t | -5.9% |
| 2014 | 18 1000 t | +12.5% |
| 2015 | 19 1000 t | +5.6% |
| 2016 | 17 1000 t | -10.5% |
| 2017 | 17 1000 t | +0.0% |
| 2018 | 19 1000 t | +11.8% |
| 2019 | 0 1000 t | -100.0% |
| 2020 | 0 1000 t | — |
| 2021 | 0 1000 t | — |
| 2022 | 0 1000 t | — |
| 2023 | 0 1000 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 15.5 1000 t | 0 1000 t | 19 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Dominican Republic
- 39 Tonga 0 1000 t
- 39 Bhutan 0 1000 t
- 39 Qatar 0 1000 t
- 39 Bahrain 0 1000 t
- 39 Turkmenistan 0 1000 t
- 39 Tajikistan 0 1000 t
- 39 Afghanistan 0 1000 t
- 39 Libya 0 1000 t
- 39 Mongolia 0 1000 t
- 39 Guinea-Bissau 0 1000 t
- 39 Albania 0 1000 t
- 39 Armenia 0 1000 t
- 39 Jordan 0 1000 t
- 39 French Polynesia 0 1000 t
- 39 North Macedonia 0 1000 t
- 39 Israel 0 1000 t compare
- 39 Suriname 0 1000 t
- 39 Paraguay 0 1000 t
- 39 Montenegro 0 1000 t
- 39 Bosnia and Herzegovina 0 1000 t
- 39 Kyrgyzstan 0 1000 t
- 39 Estonia 0 1000 t
- 39 Georgia 0 1000 t
- 39 Iraq 0 1000 t
- 39 Finland 0 1000 t
- 39 China, Hong Kong SAR 0 1000 t compare
- 39 Algeria 0 1000 t
- 39 Ireland 0 1000 t
- 39 Azerbaijan 0 1000 t
- 39 Luxembourg 0 1000 t
- 39 Samoa 0 1000 t
- 39 El Salvador 0 1000 t
- 39 Guyana 0 1000 t
- 39 Tunisia 0 1000 t
- 39 Trinidad and Tobago 0 1000 t
- 39 Latvia 0 1000 t
- 39 Lithuania 0 1000 t
- 39 Belgium 0 1000 t
- 39 Czechia 0 1000 t compare
- 39 New Caledonia 0 1000 t
- 39 Slovakia 0 1000 t
- 39 Guinea 0 1000 t
- 39 Slovenia 0 1000 t
- 39 Belarus 0 1000 t
- 39 Nicaragua 0 1000 t
- 39 Haiti 0 1000 t
- 39 Serbia 0 1000 t compare
- 39 Fiji 0 1000 t
- 39 Papua New Guinea 0 1000 t
- 39 Saudi Arabia 0 1000 t
- 39 Norway 0 1000 t
- 39 Jamaica 0 1000 t
- 39 Cyprus 0 1000 t
- 39 Belize 0 1000 t
- 39 Costa Rica 0 1000 t
- 39 Lebanon 0 1000 t
- 39 Austria 0 1000 t
- 39 Netherlands (Kingdom of the) 0 1000 t
- 39 Honduras 0 1000 t
- 39 Denmark 0 1000 t
- 39 Oman 0 1000 t
- 39 Yemen 0 1000 t
- 39 Switzerland 0 1000 t
- 39 Madagascar 0 1000 t
- 39 Ecuador 0 1000 t
- 39 Zambia 0 1000 t
- 39 Sweden 0 1000 t
- 39 Morocco 0 1000 t
- 39 Peru 0 1000 t compare
- 39 Guatemala 0 1000 t
- 39 Rwanda 0 1000 t
- 39 Mozambique 0 1000 t
- 39 Kazakhstan 0 1000 t
- 39 Cameroon 0 1000 t
- 39 China, Taiwan Province of 0 1000 t compare
- 39 Uganda 0 1000 t
- 39 South Africa 0 1000 t
- 39 Pakistan 0 1000 t
- 39 Senegal 0 1000 t
- 39 Colombia 0 1000 t compare
- 39 Egypt 0 1000 t
- 39 Nepal 0 1000 t
More agriculture & rural data for Dominican Republic
- Agriculture, forestry, and fishing, value added (current US$), annual 5.94 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.046 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 509.02 current US$ per person (2025)
- Rural population, annual growth rate 0.4279 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2748 units per person (2025)
- Agriculture share gdp 4.6 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 4.6 (2025)
- Agricultural raw materials exports 0.5% (2024)
- Agricultural raw materials imports 0.9% (2024)
Frequently asked questions
- What is sugar & sweeteners — losses in Dominican Republic?
- Sugar & sweeteners — losses in Dominican Republic was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar & sweeteners — losses recorded in Dominican Republic?
- The highest recorded value was 19 1000 t in 2015.
- What is the lowest sugar & sweeteners — losses recorded in Dominican Republic?
- The lowest recorded value was 0 1000 t in 2019.
- How does Dominican Republic rank for sugar & sweeteners — losses?
- Dominican Republic ranks 39th out of 121 countries with data for 2023.
- Is sugar & sweeteners — losses rising or falling in Dominican Republic?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Dominican Republic data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar & Sweeteners — Losses. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet 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 caput 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. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.