Savanna fires — Emissions in Latvia
Latvia: Savanna fires — Emissions was 0 kt in 2023. ◆ Volatile
Savanna fires — Emissions in Latvia, 1992–2023
Source: Food and Agriculture Organization of the United Nations. Measured in kt.
Analysis
Latvia recorded 0 kt for savanna fires — emissions in 2023. That is the lowest value across all 32 years on record.
Compared with earlier readings it is down 100.0% on the previous year and down 100.0% over ten years.
Over the whole period, savanna fires — emissions in Latvia peaked at 0.0103 kt in 2003 and was at its lowest, 0 kt, in 2005.
That places Latvia 134th out of 221 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.
Savanna fires — Emissions in Latvia, year by year
| Year | kt | Change |
|---|---|---|
| 1992 | 0.0009 kt | — |
| 1993 | 0.0009 kt | +0.0% |
| 1994 | 0.0009 kt | +0.0% |
| 1995 | 0.0009 kt | +0.0% |
| 1996 | 0.0004 kt | -55.6% |
| 1997 | 0.0001 kt | -75.0% |
| 1998 | 0.0001 kt | +0.0% |
| 1999 | 0.0001 kt | +0.0% |
| 2000 | 0.0001 kt | +0.0% |
| 2001 | 0.0008 kt | +700.0% |
| 2002 | 0.0021 kt | +162.5% |
| 2003 | 0.0103 kt | +390.5% |
| 2004 | 0.002 kt | -80.6% |
| 2005 | 0 kt | -100.0% |
| 2006 | 0.0011 kt | — |
| 2007 | 0.001 kt | -9.1% |
| 2008 | 0 kt | -100.0% |
| 2009 | 0.0004 kt | — |
| 2010 | 0.0004 kt | +0.0% |
| 2011 | 0.0005 kt | +25.0% |
| 2012 | 0 kt | -100.0% |
| 2013 | 0.0017 kt | — |
| 2014 | 0.0004 kt | -76.5% |
| 2015 | 0.0008 kt | +100.0% |
| 2016 | 0 kt | -100.0% |
| 2017 | 0 kt | — |
| 2018 | 0.001 kt | — |
| 2019 | 0 kt | -100.0% |
| 2020 | 0.0001 kt | — |
| 2021 | 0 kt | -100.0% |
| 2022 | 0.0002 kt | — |
| 2023 | 0 kt | -100.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.0005 kt | 0.0001 kt | 0.0009 kt | 8 |
| 2000s | 0.0018 kt | 0 kt | 0.0103 kt | 10 |
| 2010s | 0.0005 kt | 0 kt | 0.0017 kt | 10 |
| 2020s | 0.0001 kt | 0 kt | 0.0002 kt | 4 |
Countries ranked near Latvia
- 134 American Samoa 0 kt
- 134 Andorra 0 kt
- 134 Anguilla 0 kt
- 134 Antigua and Barbuda 0 kt
- 134 Aruba 0 kt
- 134 Ascension, Saint Helena and Tristan da Cunha 0 kt
- 134 Austria 0 kt compare
- 134 Bahrain 0 kt
- 134 Belgium 0 kt compare
- 134 Belgium-Luxembourg 0 kt compare
- 134 Bermuda 0 kt
- 134 British Virgin Islands 0 kt
- 134 Brunei Darussalam 0 kt compare
- 134 Cayman Islands 0 kt
- 134 China, Hong Kong SAR 0 kt compare
- 134 China, Macao SAR 0 kt
- 134 Comoros 0 kt compare
- 134 Cook Islands 0 kt
- 134 Czechia 0 kt compare
- 134 Denmark 0 kt compare
- 134 Djibouti 0 kt
- 134 Dominica 0 kt
- 134 Faroe Islands 0 kt
- 134 Finland 0 kt compare
- 134 French Polynesia 0 kt
- 134 Gibraltar 0 kt
- 134 Greenland 0 kt compare
- 134 Grenada 0 kt compare
- 134 Guadeloupe 0 kt
- 134 Guam 0 kt
- 134 Hungary 0 kt compare
- 134 Ireland 0 kt compare
- 134 Isle of Man 0 kt
- 134 Jordan 0 kt compare
- 134 Kiribati 0 kt
- 134 Kuwait 0 kt compare
- 134 Kyrgyzstan 0 kt compare
- 134 Libya 0 kt compare
- 134 Liechtenstein 0 kt
- 134 Luxembourg 0 kt
- 134 Maldives 0 kt
- 134 Malta 0 kt
- 134 Marshall Islands 0 kt
- 134 Martinique 0 kt
- 134 Mauritius 0 kt compare
- 134 Mayotte 0 kt
- 134 Monaco 0 kt
- 134 Montenegro 0 kt compare
- 134 Montserrat 0 kt compare
- 134 Naoero 0 kt
- 134 Netherlands (Kingdom of the) 0 kt compare
- 134 Netherlands Antilles (former) 0 kt
- 134 Niue 0 kt
- 134 Norfolk Island 0 kt
- 134 Northern Mariana Islands 0 kt
- 134 Norway 0 kt compare
- 134 Oman 0 kt
- 134 Palau 0 kt
- 134 Palestine, State of 0 kt compare
- 134 Pitcairn 0 kt
- 134 Poland 0 kt compare
- 134 Puerto Rico 0 kt compare
- 134 Qatar 0 kt
- 134 Réunion 0 kt compare
- 134 Saint Kitts and Nevis 0 kt compare
- 134 Saint Lucia 0 kt
- 134 Saint Pierre and Miquelon 0 kt
- 134 Saint Vincent and the Grenadines 0 kt
- 134 Samoa 0 kt
- 134 San Marino 0 kt
- 134 Sao Tome and Principe 0 kt
- 134 Seychelles 0 kt
- 134 Singapore 0 kt
- 134 Slovakia 0 kt compare
- 134 Slovenia 0 kt compare
- 134 Solomon Islands 0 kt compare
- 134 Svalbard and Jan Mayen Islands 0 kt
- 134 Sweden 0 kt compare
- 134 Switzerland 0 kt compare
- 134 Tokelau 0 kt
- 134 Tonga 0 kt
- 134 Turks and Caicos Islands 0 kt compare
- 134 Tuvalu 0 kt
- 134 United Arab Emirates 0 kt
- 134 United States Virgin Islands 0 kt
- 134 Vanuatu 0 kt compare
- 134 Western Sahara 0 kt
More climate change data for Latvia
- Emissions from livestock — Emissions (CO2eq) 1,340 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 263.83 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 1,077 kt (2050)
- Emissions from livestock — Emissions 0.9956 kt (2050)
- Emissions from livestock — Emissions 38.45 kt (2050)
- Emissions from crops — Emissions (CO2eq) 342.8 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 336.47 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 6.33 kt (2050)
- Emissions from crops — Emissions 1.27 kt (2050)
- Emissions from crops — Emissions 0.2262 kt (2050)
Frequently asked questions
- What is savanna fires — emissions in Latvia?
- Savanna fires — emissions in Latvia was 0 kt in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest savanna fires — emissions recorded in Latvia?
- The highest recorded value was 0.0103 kt in 2003.
- What is the lowest savanna fires — emissions recorded in Latvia?
- The lowest recorded value was 0 kt in 2005.
- How does Latvia rank for savanna fires — emissions?
- Latvia ranks 134th out of 221 countries with data for 2023.
- Is savanna fires — emissions rising or falling in Latvia?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Latvia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Savanna fires — Emissions (N2O). 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 Totals summarizes the greenhouse gas (GHG) emissions disseminated in the FAOSTAT Climate Change domains of emissions from agrifood 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). Emissions from other economic sectors as defined by the IPCC are also disseminated in the domain for completeness. Methodological details can be found at: https://files-faostat.fao.org/production/GT/GT_en.pdf