Food Retail — Energy Use in Zimbabwe
Zimbabwe: Food Retail — Energy Use was 2,903 TJ in 2023. ◆ Volatile
Food Retail — Energy Use in Zimbabwe, 1992–2023
Source: Food and Agriculture Organization of the United Nations. Measured in TJ.
Analysis
The most recent figure for food retail — energy use in Zimbabwe is 2,903 TJ, measured in 2023.
That represents a change of up 29.0% over ten years.
Over the whole period, food retail — energy use in Zimbabwe peaked at 8,974 TJ in 2009 and was at its lowest, 1,802 TJ, in 1993.
That places Zimbabwe 116th out of 201 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 2,235 TJ | 1,802 TJ | 2,722 TJ | 8 |
| 2000s | 5,022 TJ | 2,245 TJ | 8,974 TJ | 10 |
| 2010s | 2,863 TJ | 2,213 TJ | 5,489 TJ | 10 |
| 2020s | 2,635 TJ | 2,276 TJ | 2,903 TJ | 4 |
Countries ranked near Zimbabwe
More climate change data for Zimbabwe
- Emissions from livestock — Emissions (CO2eq) (AR5) — FAO TIER 1 17,716 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O (AR5) — FAO 5,805 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 (AR5) — FAO 11,912 kt (2050)
- Emissions from livestock — Emissions (N2O) — FAO TIER 1 21.9 kt (2050)
- Emissions from livestock — Emissions (CH4) — FAO TIER 1 425.42 kt (2050)
- Emissions from crops — Emissions (CO2eq) (AR5) — FAO TIER 1 1,483 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O (AR5) — FAO TIER 1 1,345 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 (AR5) — FAO TIER 1 137.94 kt (2050)
- Emissions from crops — Emissions (N2O) — FAO TIER 1 5.08 kt (2050)
- Emissions from crops — Emissions (CH4) — FAO TIER 1 4.93 kt (2050)
Frequently asked questions
- What is food retail — energy use in Zimbabwe?
- Food retail — energy use in Zimbabwe was 2,903 TJ in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest food retail — energy use recorded in Zimbabwe?
- The highest recorded value was 8,974 TJ in 2009.
- What is the lowest food retail — energy use recorded in Zimbabwe?
- The lowest recorded value was 1,802 TJ in 1993.
- How does Zimbabwe rank for food retail — energy use?
- Zimbabwe ranks 116th out of 201 countries with data for 2023.
- Is food retail — energy use rising or falling in Zimbabwe?
- Over the last ten years it is up 29.0%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Food Retail — Energy Use (Total). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 32 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT domain on Emissions from Pre- and post- agricultural production includes the greenhouse gas (GHG) emissions, and related activity data, generated from pre- and post-agriculture production stages of the agri-food systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). The domain includes methane (CH4), nitrous oxide (N2O), carbon dioxide (CO2) and CO2 equivalent (CO2eq) emissions from the above activities as well as the aggregate fluorinated gases (F-gases) emissions. Estimates are available by country, with global coverage and are updated annually.The FAOSTAT domain disseminates information estimates of CH4, N2O, CO2 emissions, F-gases, their aggregates in CO2eq in units of kilotonnes (kt, or 10^6 kg), and the underlying activity data. CO2eq emissions are computed by using the IPCC Fifth Assessment report global warming potentials, AR5 (IPCC, 2014). Data are available for most countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups.