Samples since 27th January 2026

Region Total NB.1.8.1 % XFG % BA.3.2 %
Asia / Hong Kong 8 4 50% 4 50% 0 0%
Asia / Japan 7 6 86% 0 0% 0 0%
Asia / Japan / Chiba 1 1 100% 0 0% 0 0%
Asia / Japan / Hokkaido 3 3 100% 0 0% 0 0%
Asia / Japan / Hyogo 1 0 0% 0 0% 0 0%
Asia / Japan / Kanagawa 2 2 100% 0 0% 0 0%
Asia / Singapore 29 6 21% 5 17% 1 3%
Europe / Belgium 1 0 0% 0 0% 1 100%
Europe / Belgium / Flanders 1 0 0% 0 0% 1 100%
Europe / France 40 8 20% 14 35% 11 28%
Europe / France / Auvergne-Rhone-Alpes 16 2 13% 8 50% 4 25%
Europe / France / Auvergne-Rhone-Alpes / Ain 1 0 0% 1 100% 0 0%
Europe / France / Auvergne-Rhone-Alpes / Haute-Savoie 3 1 33% 2 67% 0 0%
Europe / France / Auvergne-Rhone-Alpes / Isere 2 0 0% 1 50% 1 50%
Europe / France / Auvergne-Rhone-Alpes / Rhone 10 1 10% 4 40% 3 30%
Europe / France / Grand Est 9 3 33% 1 11% 4 44%
Europe / France / Normandie 1 0 0% 0 0% 0 0%
Europe / France / Nouvelle-Aquitaine 4 1 25% 1 25% 1 25%
Europe / France / Nouvelle-Aquitaine / Gironde 3 1 33% 1 33% 1 33%
Europe / France / Nouvelle-Aquitaine / Pyrenees-Atlantiques 1 0 0% 0 0% 0 0%
Europe / France / Occitanie 3 1 33% 1 33% 0 0%
Europe / France / Occitanie / Haute-Garonne 3 1 33% 1 33% 0 0%
Europe / France / Provence-Alpes-Cote d’Azur 7 1 14% 3 43% 2 29%
Europe / France / Provence-Alpes-Cote d’Azur / Alpes-Maritimes 3 0 0% 1 33% 2 67%
Europe / France / Provence-Alpes-Cote d’Azur / Bouches-du-Rhone 2 1 50% 1 50% 0 0%
Europe / France / Provence-Alpes-Cote d’Azur / Var 2 0 0% 1 50% 0 0%
Europe / Germany 41 22 54% 12 29% 5 12%
Europe / Germany / Baden-Wurttemberg 2 0 0% 1 50% 1 50%
Europe / Germany / Bavaria 5 1 20% 2 40% 2 40%
Europe / Germany / Berlin 2 2 100% 0 0% 0 0%
Europe / Germany / Brandenburg 6 4 67% 0 0% 2 33%
Europe / Germany / Lower Saxony 5 5 100% 0 0% 0 0%
Europe / Germany / Mecklenburg-Western Pomerania 4 2 50% 2 50% 0 0%
Europe / Germany / North Rhine-Westphalia 10 4 40% 4 40% 0 0%
Europe / Germany / Rhineland-Palatinate 1 1 100% 0 0% 0 0%
Europe / Germany / Saxony-Anhalt 5 2 40% 3 60% 0 0%
Europe / Germany / Schleswig-Holstein 1 1 100% 0 0% 0 0%
Europe / Ireland 6 0 0% 4 67% 2 33%
Europe / Ireland / Dublin 6 0 0% 4 67% 2 33%
Europe / Italy 8 1 13% 5 63% 0 0%
Europe / Italy / Lombardy 1 0 0% 1 100% 0 0%
Europe / Italy / Veneto 1 0 0% 1 100% 0 0%
Europe / Lithuania 9 0 0% 8 89% 0 0%
Europe / Lithuania / Kaunas 3 0 0% 2 67% 0 0%
Europe / Lithuania / Klaipeda County 2 0 0% 2 100% 0 0%
Europe / Lithuania / Marijampoles 3 0 0% 3 100% 0 0%
Europe / Lithuania / Siauliai 1 0 0% 1 100% 0 0%
Europe / Netherlands 13 2 15% 9 69% 2 15%
Europe / Netherlands / Gelderland 2 1 50% 1 50% 0 0%
Europe / Netherlands / Groningen 1 0 0% 1 100% 0 0%
Europe / Netherlands / Limburg 2 0 0% 2 100% 0 0%
Europe / Netherlands / Noord-Brabant 3 0 0% 2 67% 1 33%
Europe / Netherlands / Overijssel 3 1 33% 2 67% 0 0%
Europe / Netherlands / Utrecht 2 0 0% 1 50% 1 50%
Europe / Norway 30 3 10% 4 13% 23 77%
Europe / Norway / Agder 2 1 50% 0 0% 1 50%
Europe / Norway / Akershus 4 0 0% 1 25% 3 75%
Europe / Norway / Astfold 3 0 0% 0 0% 3 100%
Europe / Norway / Buskerud 4 0 0% 1 25% 3 75%
Europe / Norway / Finnmark 1 0 0% 1 100% 0 0%
Europe / Norway / Innlandet 1 0 0% 0 0% 1 100%
Europe / Norway / More og Romsdal 3 0 0% 0 0% 3 100%
Europe / Norway / Oslo 3 0 0% 1 33% 2 67%
Europe / Norway / Rogaland 2 1 50% 0 0% 1 50%
Europe / Norway / Vestfold 3 1 33% 0 0% 2 67%
Europe / Norway / Vestland 4 0 0% 0 0% 4 100%
Europe / Poland 23 1 4% 22 96% 0 0%
Europe / Poland / Pomorze 21 0 0% 21 100% 0 0%
Europe / Spain 3 1 33% 1 33% 1 33%
Europe / Spain / Basque Country 2 0 0% 1 50% 1 50%
Europe / Spain / Basque Country / Donostia-San Sebastian 2 0 0% 1 50% 1 50%
Europe / Spain / Catalunya 1 1 100% 0 0% 0 0%
Europe / Sweden 17 7 41% 7 41% 1 6%
Europe / Sweden / Blekinge 2 0 0% 1 50% 1 50%
Europe / Sweden / Jonkoping 3 1 33% 1 33% 0 0%
Europe / Sweden / Kronoberg 2 1 50% 0 0% 0 0%
Europe / Sweden / Orebro 6 4 67% 2 33% 0 0%
Europe / Sweden / Vastmanland 2 1 50% 1 50% 0 0%
Europe / Sweden / Vastra Gotaland County 2 0 0% 2 100% 0 0%
Europe / United Kingdom 18 6 33% 1 6% 10 56%
Europe / United Kingdom / England 10 3 30% 0 0% 7 70%
Europe / United Kingdom / Scotland 2 1 50% 0 0% 1 50%
Europe / United Kingdom / Wales 6 2 33% 1 17% 2 33%
North America / Canada 253 66 26% 177 70% 0 0%
North America / Canada / Alberta 101 7 7% 89 88% 0 0%
North America / Canada / New Brunswick 30 11 37% 19 63% 0 0%
North America / Canada / Nova Scotia 10 3 30% 7 70% 0 0%
North America / Canada / Ontario 112 45 40% 62 55% 0 0%
North America / Puerto Rico 2 0 0% 1 50% 0 0%
North America / USA 378 60 16% 269 71% 2 1%
North America / USA / California 39 5 13% 30 77% 0 0%
North America / USA / Colorado 34 3 9% 27 79% 0 0%
North America / USA / Connecticut 22 2 9% 19 86% 0 0%
North America / USA / Connecticut / Hartford 2 0 0% 2 100% 0 0%
North America / USA / Connecticut / Middlesex 4 0 0% 4 100% 0 0%
North America / USA / Connecticut / New Haven 8 2 25% 5 63% 0 0%
North America / USA / Connecticut / New London 7 0 0% 7 100% 0 0%
North America / USA / Connecticut / Windham 1 0 0% 1 100% 0 0%
North America / USA / Florida 4 0 0% 4 100% 0 0%
North America / USA / Illinois 6 0 0% 5 83% 0 0%
North America / USA / Illinois / Cook County 6 0 0% 5 83% 0 0%
North America / USA / Maryland 57 5 9% 47 82% 2 4%
North America / USA / Michigan 14 3 21% 5 36% 0 0%
North America / USA / Nebraska 109 32 29% 67 61% 0 0%
North America / USA / Nevada 4 0 0% 3 75% 0 0%
North America / USA / Nevada / Clark 4 0 0% 3 75% 0 0%
North America / USA / New York 9 3 33% 6 67% 0 0%
North America / USA / New York / Albany 2 0 0% 2 100% 0 0%
North America / USA / New York / Columbia 1 1 100% 0 0% 0 0%
North America / USA / New York / Fulton 1 0 0% 1 100% 0 0%
North America / USA / New York / Rensselaer 2 1 50% 1 50% 0 0%
North America / USA / New York / Saratoga 1 0 0% 1 100% 0 0%
North America / USA / New York / Schenectady 1 0 0% 1 100% 0 0%
North America / USA / Wisconsin 80 7 9% 56 70% 0 0%
Oceania / Australia 49 16 33% 19 39% 9 18%
Oceania / Australia / New South Wales 44 13 30% 17 39% 9 20%
Oceania / Australia / New South Wales / Sydney 44 13 30% 17 39% 9 20%
Oceania / Australia / Western Australia 5 3 60% 2 40% 0 0%
Oceania / New Zealand 50 17 34% 22 44% 2 4%
Oceania / New Zealand / Auckland 6 0 0% 5 83% 0 0%
Oceania / New Zealand / Canterbury 2 2 100% 0 0% 0 0%
Oceania / New Zealand / Counties Manukau 9 1 11% 5 56% 0 0%
Oceania / New Zealand / Hawkes Bay 1 1 100% 0 0% 0 0%
Oceania / New Zealand / MidCentral 3 0 0% 1 33% 0 0%
Oceania / New Zealand / Nelson Marlborough 2 1 50% 1 50% 0 0%
Oceania / New Zealand / Northland 8 1 13% 7 88% 0 0%
Oceania / New Zealand / Southern 4 2 50% 2 50% 0 0%
Oceania / New Zealand / Taranaki 3 3 100% 0 0% 0 0%
Oceania / New Zealand / Waikato 11 6 55% 0 0% 2 18%
Oceania / New Zealand / Waitemata 1 0 0% 1 100% 0 0%
South America / Chile 7 0 0% 7 100% 0 0%
South America / Chile / Antofagasta 1 0 0% 1 100% 0 0%
South America / Chile / Antofagasta / Antofagasta 1 0 0% 1 100% 0 0%
South America / Chile / La Araucania 2 0 0% 2 100% 0 0%
South America / Chile / La Araucania / Temuco 2 0 0% 2 100% 0 0%
South America / Chile / Maule 2 0 0% 2 100% 0 0%
South America / Chile / Maule / Talca 2 0 0% 2 100% 0 0%
South America / Chile / O’Higgins 1 0 0% 1 100% 0 0%
South America / Chile / O’Higgins / Rancagua 1 0 0% 1 100% 0 0%
South America / Chile / Valparaiso 1 0 0% 1 100% 0 0%
South America / Chile / Valparaiso / ViaA Del Mar 1 0 0% 1 100% 0 0%

Last Updated: 24 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.