Samples since 7th January 2026

Region Total NB.1.8.1 % XFG % BA.3.2 %
Africa / Burundi 1 0 0% 1 100% 0 0%
Africa / Burundi / Bujumbura-Centre 1 0 0% 1 100% 0 0%
Asia / Hong Kong 3 1 33% 1 33% 0 0%
Asia / Japan 8 8 100% 0 0% 0 0%
Asia / Japan / Hokkaido 8 8 100% 0 0% 0 0%
Asia / Singapore 54 8 15% 16 30% 0 0%
Asia / South Korea 1 1 100% 0 0% 0 0%
Europe / Czech Republic 2 1 50% 1 50% 0 0%
Europe / Czech Republic / Jihomoravsky region 1 0 0% 1 100% 0 0%
Europe / Czech Republic / Jihomoravsky region / Boskovice 1 0 0% 1 100% 0 0%
Europe / Czech Republic / Praha region 1 1 100% 0 0% 0 0%
Europe / Czech Republic / Praha region / Praha 1 1 100% 0 0% 0 0%
Europe / Denmark 4 1 25% 1 25% 2 50%
Europe / France 19 8 42% 8 42% 1 5%
Europe / France / Auvergne-Rhone-Alpes 9 3 33% 5 56% 1 11%
Europe / France / Auvergne-Rhone-Alpes / Rhone 9 3 33% 5 56% 1 11%
Europe / France / Bretagne 1 0 0% 1 100% 0 0%
Europe / France / Nouvelle-Aquitaine 4 2 50% 1 25% 0 0%
Europe / France / Nouvelle-Aquitaine / Gironde 3 1 33% 1 33% 0 0%
Europe / France / Nouvelle-Aquitaine / Landes 1 1 100% 0 0% 0 0%
Europe / France / Occitanie 3 2 67% 1 33% 0 0%
Europe / France / Occitanie / Ariege 1 1 100% 0 0% 0 0%
Europe / France / Occitanie / Aude 1 1 100% 0 0% 0 0%
Europe / France / Occitanie / Herault 1 0 0% 1 100% 0 0%
Europe / France / Provence-Alpes-Cote d’Azur 2 1 50% 0 0% 0 0%
Europe / France / Provence-Alpes-Cote d’Azur / Alpes-Maritimes 1 0 0% 0 0% 0 0%
Europe / France / Provence-Alpes-Cote d’Azur / Bouches-du-Rhone 1 1 100% 0 0% 0 0%
Europe / Germany 10 3 30% 4 40% 2 20%
Europe / Germany / Bavaria 9 2 22% 4 44% 2 22%
Europe / Germany / Berlin 1 1 100% 0 0% 0 0%
Europe / Ireland 1 0 0% 1 100% 0 0%
Europe / Ireland / Dublin 1 0 0% 1 100% 0 0%
Europe / Italy 28 5 18% 20 71% 1 4%
Europe / Italy / Gorizia 12 2 17% 10 83% 0 0%
Europe / Italy / Torino 4 0 0% 4 100% 0 0%
Europe / Italy / Trieste 1 0 0% 0 0% 0 0%
Europe / Netherlands 8 3 38% 1 13% 4 50%
Europe / Netherlands / Gelderland 1 0 0% 1 100% 0 0%
Europe / Netherlands / Noord-Brabant 2 1 50% 0 0% 1 50%
Europe / Netherlands / Overijssel 1 1 100% 0 0% 0 0%
Europe / Netherlands / Zeeland 2 1 50% 0 0% 1 50%
Europe / Netherlands / Zuid-Holland 2 0 0% 0 0% 2 100%
Europe / Norway 20 5 25% 8 40% 3 15%
Europe / Norway / Agder 2 2 100% 0 0% 0 0%
Europe / Norway / Akershus 9 1 11% 4 44% 1 11%
Europe / Norway / Buskerud 1 0 0% 1 100% 0 0%
Europe / Norway / Innlandet 1 0 0% 1 100% 0 0%
Europe / Norway / Oslo 2 0 0% 1 50% 1 50%
Europe / Norway / Rogaland 1 0 0% 0 0% 1 100%
Europe / Norway / Trondelag 2 1 50% 0 0% 0 0%
Europe / Norway / Vestland 2 1 50% 1 50% 0 0%
Europe / Poland 26 1 4% 24 92% 0 0%
Europe / Poland / Lodzkie 1 0 0% 1 100% 0 0%
Europe / Poland / Lodzkie / Belchatowski 1 0 0% 1 100% 0 0%
Europe / Poland / Pomorze 20 0 0% 20 100% 0 0%
Europe / Poland / Wielkopolskie 5 1 20% 3 60% 0 0%
Europe / Poland / Wielkopolskie / Poznanski 5 1 20% 3 60% 0 0%
Europe / Slovenia 2 0 0% 2 100% 0 0%
Europe / Slovenia / Podravska 1 0 0% 1 100% 0 0%
Europe / Slovenia / Savinjska 1 0 0% 1 100% 0 0%
Europe / Spain 10 2 20% 5 50% 1 10%
Europe / Spain / Asturias 2 0 0% 1 50% 0 0%
Europe / Spain / Basque Country 3 0 0% 1 33% 1 33%
Europe / Spain / Basque Country / Donostia-San Sebastian 3 0 0% 1 33% 1 33%
Europe / Spain / Catalunya 3 2 67% 1 33% 0 0%
Europe / Spain / Catalunya / Alella 1 1 100% 0 0% 0 0%
Europe / Spain / Catalunya / Teia 1 0 0% 1 100% 0 0%
Europe / Spain / Catalunya / Vilassar de Mar 1 1 100% 0 0% 0 0%
Europe / Spain / Murcia 2 0 0% 2 100% 0 0%
Europe / Sweden 11 1 9% 9 82% 0 0%
Europe / Sweden / Gavleborg County 8 0 0% 7 88% 0 0%
Europe / Sweden / Halland 1 0 0% 1 100% 0 0%
Europe / Sweden / Kalmar 1 1 100% 0 0% 0 0%
Europe / Sweden / Uppsala 1 0 0% 1 100% 0 0%
Europe / United Kingdom 119 37 31% 52 44% 24 20%
Europe / United Kingdom / England 27 13 48% 10 37% 3 11%
Europe / United Kingdom / Northern Ireland 6 0 0% 3 50% 3 50%
Europe / United Kingdom / Scotland 54 12 22% 22 41% 15 28%
Europe / United Kingdom / Wales 32 12 38% 17 53% 3 9%
North America / Canada 717 271 38% 383 53% 2 0%
North America / Canada / Alberta 15 1 7% 13 87% 0 0%
North America / Canada / New Brunswick 34 19 56% 12 35% 0 0%
North America / Canada / Newfoundland and Labrador 19 2 11% 14 74% 0 0%
North America / Canada / Ontario 649 249 38% 344 53% 2 0%
North America / Costa Rica 1 0 0% 1 100% 0 0%
North America / Costa Rica / Puntarenas 1 0 0% 1 100% 0 0%
North America / Puerto Rico 8 0 0% 7 88% 0 0%
North America / USA 439 68 15% 315 72% 0 0%
North America / USA / California 6 0 0% 4 67% 0 0%
North America / USA / Colorado 39 7 18% 29 74% 0 0%
North America / USA / Connecticut 26 2 8% 24 92% 0 0%
North America / USA / Connecticut / Fairfield 2 0 0% 2 100% 0 0%
North America / USA / Connecticut / Hartford 10 1 10% 9 90% 0 0%
North America / USA / Connecticut / Middlesex 10 1 10% 9 90% 0 0%
North America / USA / Connecticut / New Haven 2 0 0% 2 100% 0 0%
North America / USA / Connecticut / Saint Landry 1 0 0% 1 100% 0 0%
North America / USA / Connecticut / Windham 1 0 0% 1 100% 0 0%
North America / USA / Illinois 41 3 7% 34 83% 0 0%
North America / USA / Illinois / Cook County 35 3 9% 29 83% 0 0%
North America / USA / Illinois / Jo Daviess 1 0 0% 1 100% 0 0%
North America / USA / Illinois / Stephenson 5 0 0% 4 80% 0 0%
North America / USA / Indiana 1 0 0% 1 100% 0 0%
North America / USA / Kentucky 6 1 17% 2 33% 0 0%
North America / USA / Maryland 69 13 19% 44 64% 0 0%
North America / USA / Michigan 9 0 0% 8 89% 0 0%
North America / USA / Nebraska 110 28 25% 72 65% 0 0%
North America / USA / Nevada 3 0 0% 2 67% 0 0%
North America / USA / Nevada / Clark 3 0 0% 2 67% 0 0%
North America / USA / New York 61 11 18% 43 70% 0 0%
North America / USA / New York / Albany 3 0 0% 3 100% 0 0%
North America / USA / New York / Broome 2 0 0% 2 100% 0 0%
North America / USA / New York / Cayuga 1 0 0% 1 100% 0 0%
North America / USA / New York / Cortland 1 0 0% 1 100% 0 0%
North America / USA / New York / Fulton 1 0 0% 1 100% 0 0%
North America / USA / New York / Madison 3 1 33% 2 67% 0 0%
North America / USA / New York / Oneida 2 1 50% 1 50% 0 0%
North America / USA / New York / Onondaga 43 5 12% 31 72% 0 0%
North America / USA / New York / Oswego 1 1 100% 0 0% 0 0%
North America / USA / New York / Saratoga 3 3 100% 0 0% 0 0%
North America / USA / New York / Ulster 1 0 0% 1 100% 0 0%
North America / USA / Oregon 11 1 9% 8 73% 0 0%
North America / USA / Oregon / Umatilla County 1 0 0% 0 0% 0 0%
North America / USA / Oregon / Union County 1 0 0% 1 100% 0 0%
North America / USA / Wisconsin 57 2 4% 44 77% 0 0%
Oceania / Australia 66 29 44% 21 32% 8 12%
Oceania / Australia / New South Wales 41 19 46% 8 20% 7 17%
Oceania / Australia / New South Wales / Sydney 41 19 46% 8 20% 7 17%
Oceania / Australia / Western Australia 25 10 40% 13 52% 1 4%
Oceania / New Zealand 67 18 27% 27 40% 3 4%
Oceania / New Zealand / Auckland 11 4 36% 5 45% 1 9%
Oceania / New Zealand / Canterbury 4 2 50% 0 0% 0 0%
Oceania / New Zealand / Counties Manukau 11 1 9% 6 55% 0 0%
Oceania / New Zealand / Hutt Valley 1 0 0% 0 0% 0 0%
Oceania / New Zealand / Lakes 1 0 0% 0 0% 1 100%
Oceania / New Zealand / MidCentral 4 1 25% 2 50% 0 0%
Oceania / New Zealand / Nelson Marlborough 1 0 0% 1 100% 0 0%
Oceania / New Zealand / Northland 4 1 25% 1 25% 0 0%
Oceania / New Zealand / Southern 10 6 60% 4 40% 0 0%
Oceania / New Zealand / Taranaki 8 2 25% 2 25% 0 0%
Oceania / New Zealand / Waikato 12 1 8% 6 50% 1 8%
South America / Brazil 6 0 0% 6 100% 0 0%
South America / Brazil / Goias 6 0 0% 6 100% 0 0%
South America / Brazil / Goias / Anapolis 2 0 0% 2 100% 0 0%
South America / Brazil / Goias / Goiania 2 0 0% 2 100% 0 0%
South America / Brazil / Goias / Ipora 1 0 0% 1 100% 0 0%
South America / Brazil / Goias / Mineiros 1 0 0% 1 100% 0 0%
South America / Ecuador 1 0 0% 1 100% 0 0%
South America / Ecuador / Cotopaxi 1 0 0% 1 100% 0 0%

Last Updated: 3 February 2026 21:58 GMT — Local:

Table excludes airport surveillance samples from the USA and environmental samples from Germany. There may still be some others in the counts that shouldn't be there.

Acknowledgements

We gratefully acknowledge GISAID and the many data contributors around the world for sharing SARS-CoV-2 sequences.

This analysis makes use of the Nextclade CLI.
Aksamentov, I., Roemer, C., Hodcroft, E. B., & Neher, R. A., (2021). Nextclade: clade assignment, mutation calling and quality control for viral genomes. Journal of Open Source Software, 6(67), 3773, https://doi.org/10.21105/joss.03773

Special thanks to Josette Schoenmakers ( @josetteschoenma.bsky.social on BlueSky @JosetteSchoenma on Twitter) for the table concepts.