Food Retail — Emissions (CO2eq) in Angola
Angola: Food Retail — Emissions (CO2eq) was 299.07 kt in 2023. ◆ Volatile
Food Retail — Emissions (CO2eq) in Angola, 1990–2023
Source: Food and Agriculture Organization of the United Nations. Measured in kt.
Analysis
Angola recorded 299.07 kt for food retail — emissions (co2eq) in 2023.
The figure is down 44.1% over ten years.
Over the whole period, food retail — emissions (co2eq) in Angola peaked at 535.15 kt in 2014 and was at its lowest, 0.8365 kt, in 1990.
Angola ranks 129th of 219 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 2.37 kt | 0.8365 kt | 3.46 kt | 10 |
| 2000s | 75.7 kt | 3.71 kt | 342.86 kt | 10 |
| 2010s | 411.39 kt | 285.52 kt | 535.15 kt | 10 |
| 2020s | 302.54 kt | 265.27 kt | 346.77 kt | 4 |
Countries ranked near Angola
More climate change data for Angola
- Emissions from livestock — Emissions (CO2eq) (AR5) — FAO TIER 1 13,873 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O (AR5) — FAO 4,998 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 (AR5) — FAO 8,875 kt (2050)
- Emissions from livestock — Emissions (N2O) — FAO TIER 1 18.86 kt (2050)
- Emissions from livestock — Emissions (CH4) — FAO TIER 1 316.97 kt (2050)
- Emissions from crops — Emissions (CO2eq) (AR5) — FAO TIER 1 694.89 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O (AR5) — FAO TIER 1 496.27 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 (AR5) — FAO TIER 1 198.62 kt (2050)
- Emissions from crops — Emissions (N2O) — FAO TIER 1 1.87 kt (2050)
- Emissions from crops — Emissions (CH4) — FAO TIER 1 7.09 kt (2050)
Frequently asked questions
- What is food retail — emissions (co2eq) in Angola?
- Food retail — emissions (co2eq) in Angola was 299.07 kt in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest food retail — emissions (co2eq) recorded in Angola?
- The highest recorded value was 535.15 kt in 2014.
- What is the lowest food retail — emissions (co2eq) recorded in Angola?
- The lowest recorded value was 0.8365 kt in 1990.
- How does Angola rank for food retail — emissions (co2eq)?
- Angola ranks 129th out of 219 countries with data for 2023.
- Is food retail — emissions (co2eq) rising or falling in Angola?
- Over the last ten years it is down 44.1%. The long-run trend across the full record is volatile.
- Where does this Angola data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Food Retail — Emissions (CO2eq) (AR5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 34 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.