WITHtwo thirds of the municipalities in Germany now count as risk areas. According to the Robert Koch Institute (RKI) from early Tuesday morning, nationwide 271 of 412 Rural and urban districts exceeded the warning value of 50 new infections per 100,000 inhabitants within a week. 105 of them are above an incidence of 100 (previous day: 91) – and eight of them exceed the incidence of 200 (previous day: eight).

The incidence value indicates how many new infections there are among 100,000 residents within a week. It is calculated by adding up all the new corona cases for a week, dividing them by the number of residents and then multiplying by 100,000.

If the value is above 50, the affected region must take tougher measures – the federal and state governments agreed on this in the spring. Up to this number, it is assumed that all contact persons can still be determined, it was said at the time.

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When listing the hotspots, the subdivision of the RKI of Berlin into twelve administrative districts is adopted in this overview. Berlin, on the other hand, insists on being viewed as an independent city in risk assessment.

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Corona risk areas in Germany with an incidence of over 200 (sorted in descending order)

Berlin-Neukölln (256.9), Rottal-Inn (239.5, Bavaria), Berchtesgadener Land (219, Bavaria), Rosenheim City (217.1), Delmenhorst (212.7, Lower Saxony), Solingen (206, North Rhine -Westfalen), Cloppenburg (202.7, Lower Saxony), Frankfurt / Main (202, Hesse)

Risk areas with an incidence of over 100

Baden-Württemberg (84.6): Heilbronn (155.6), Alb-Donau-Kreis (137.5), Mannheim (124.9), Enzkreis (116.8), Ulm (113.6), Böblingen (108.5), Ludwigsburg (111, 3), Pforzheim (121.5), Heidenheim (103.9), Esslingen (121.5)

Bayern (92,2): Weiden id OPf. (196.5), Schweinfurt (175.9), Schweinfurt district (172.4), Neustadt ad Waldnaab (168.3), Mühldorf am Inn (164.8), Augsburg city (148.4), Rosenheim district ( 144.6), Memmingen (131.5), Kaufbeuren (126.1), Passau district (125.1), Passau city (125), Landshut (120.7), Munich district (116.1), Miesbach ( 116), Munich city (114.4), Traunstein (113.4), Miltenberg (111.1), Bayreuth (111), Neuburg-Schrobenhausen (111), Augsburg district (110.5), Kitzingen (109.7 ) Ostallgäu (109.1), Würzburg City (107.1), Kempten (104.1), Donau-Ries (103.9), Unterallgäu (102.5), Lichtenfels (100.3)

Berlin (total 126.7): Mitte (192.9), Friedrichshain-Kreuzberg (155.6), Tempelhof-Schöneberg (148.6), Reinickendorf (126.3), Charlottenburg-Wilmersdorf (122.3), Spandau (101.2)

Bremen: total (126.8)

Hessen (119,5): Marburg-Biedenkopf (182.1), Offenbach (162), Groß-Gerau (150.5), Wiesbaden (147.2), Darmstadt (140.7), Odenwaldkreis (140.6), Main-Kinzig-Kreis ( 122.5), Lahn-Dill-Kreis (117.2), Gießen (113), Main-Taunus-Kreis (112.3), Rheingau-Taunus-Kreis (111.1), Darmstadt-Dieburg (110.8 ), Hochtaunuskreis (109.3), Kassel (108.3)

Lower Saxony (51.4): Vechta (187), Grafschaft Bentheim (120.3), Verden (111.6), Oldenburg (110)

North Rhine-Westphalia (116.8): Düren (197.6), Duisburg (196.5), Aachen (186), Herne (185.4), Remscheid (185), Cologne (181.9), Hagen (156.3), Wuppertal (152.6), Herford (144.1), Düsseldorf (140.4), Gelsenkirchen (140.2), Krefeld (139.8), Bochum (138.4), Dortmund (137.9), Recklinghausen (136.5), Rheinisch-Bergischer Kreis (136.3), Gelsenkirchen (119.4) Essen (118.7), Olpe (118), Ennepe-Ruhr-Kreis (117.6), Bottrop (114.8), Mettmann (113.5), Unna (112.4), Gutersloh (111.3), Bielefeld (109.5), Rhein-Kreis Neuss (108.7), Rhein-Erft-Kreis (106.2), Mülheim an der Ruhr (104.9), Oberhausen (103), Leverkusen (103.2)

Rhineland-Palatinate (72.3): Bitburg-Prüm (144.4), Bernkastel-Wittlich (123.6), Altenkirchen (123.4), Ludwigshafen / Rhein (115.5), Birkenfeld (114.9), Cochem-Zell (114.1), Mainz (102.9)

Saarland (99,9): St. Wendel (164.4), Saarlouis (105.5), Saarbrücken Regional Association (101.3)

Saxony (72.8): Erzgebirgskreis (195.9), North Saxony (126.4), Bautzen (117.8)

There are currently no risk areas in Mecklenburg-Western Pomerania (29.9).

The current figures are based on data from the Robert Koch Institute. The values ​​can differ slightly from the information provided by the federal states.

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