Labor am ElmCOVID-19 Regionale Zahlen der Verstorbenen in den USA
gefittet mit erweiterter Gompertz Funktion
mit erweiterter Gompertz Funktion
Alle Datenanpassungen (Fits) der einzelnen Länder/Orte sind vollständig automatisiert erstellt. Durch Anklicken auf das Bild kann überprüft werden, ob der Fit die notwendige Qualität hat anhand der Lage der Daten zur Funktion uns seiner Fehlerwerte. In einigen Fällen mit sehr streuenden realen Daten kann der Fit auch eine schlechte Vorhersage ergeben. Anhand der Fehlerwerte und des optischen Verlaufs sollten die Aussagen sinnvoll bewertet werden.
Orte oder Länder, die wegen ungenügender Daten wurden ausgelassen und können hier mit Begründung gefunden werden..
Die Tabelle zeigt von links: aktuelle Verstorbenenanzahl und Land/Ort, maximale kumulative Anzahl (fit), Graphik Verstorbener und fit, Graphik Verstorbener pro Tag und fit, T2 Verdopplungszeit, Tag des Wendepunkts der Funktion.
Der Wendepunkt ist von Bedeutung, weil die Änderung vom reinen exponentiellen Wachstum zur linearen Phase und dem Abklingen der täglichen Verstorbenenzahlen anzeigt.
Die oben-mittig angezeigte Verdopplungszeit in der Graphik beschreibt die Verdopplungszeit am Anfang der Entwicklung vor dem Wendepunkt. Diese Zahl ist mit der Logistischen Funktion berechnet worden. Einfach gesagt beschreibt T2 der Gompertz funktion den mittleren und späteren Teil der Entwicklung, die Logistische Funktion den ersten Teil.
Farbencode für die Zahlen der Verstorbenen: Unter 30 , zwischen 30 und 99, zwischen 100 und 499, zwischen 500 und 999, zwischen 1000 und 4999, zwischen 5000.
Der Farbencode für Länder/Orte beschreibt den Anteil, wieviel von Nmax durchlaufen wurde: Über 95%, zwischen 90% und 95%, zwischen 80% und 89%, zwischen 70% und 79%, zwischen 60% und 69%, wenn die Anzahl über 50 und Nmax ist unter 50% oder die Verdopplungszeit ist unter 3.5 Tage! Über 130% zeigt einen Neuausbruch der Verstorbenenwelle an.
Der Farbencode für Länder/Orte zeigt gut an, wie gut der Covid-19-Ausbruch ausgeklungen ist und wenn er wieder unter Kontrolle ist (grünliche Farben). Länder/Orte in rot oder magenta haben aktuell einen starken Anstieg in den Fallszahlen. Der Farbencode bei den Zahlen gibt an, wie schwer der Ausbruch in einem Land/Ort war oder ist.
Angewendete Mathematik ist hier erklärt.
Wenn Sie meine Arbeit zu Covid-19 unterstützen möchten:
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Aktualisierungsdatum: Sa 11. Jul 07:12:42 CEST 2020
Klicken auf den rechten Pfeil öffnet den Inhalt, Klicken auf das Bild vergrößert es.
| Naktuell Land/Ort |
Nmax (err) | kumulativ_Tote. | Sterberate (err) | Sterberate | Tote_täglich | T2 (err) | dWendepunkt (err) |
| 23247 New York, New York | 22619 (±0.2%) |  | 11.73 (±1.1%) |  |  | 11.707 (±0.8%) | 99.48 (±0.1%) |
| 4676 Cook, Illinois | 4836 (±0.3%) |  | 6.00 (±3.2%) |  |  | 19.000 (±0.4%) | 123.66 (±0.1%) |
| 3690 Los Angeles, California | 3862 (±1.0%) |  | 5.58 (±6.8%) |  |  | 22.394 (±1.2%) | 129.99 (±0.3%) |
| 2744 Wayne, Michigan | 2694 (±0.2%) |  | 13.86 (±1.6%) |  |  | 13.845 (±0.7%) | 106.92 (±0.1%) |
| 2188 Nassau, New York | 2153 (±0.4%) |  | 5.66 (±1.1%) |  |  | 11.457 (±1.3%) | 103.69 (±0.2%) |
| 2060 Essex, New Jersey | 1878 (±0.9%) |  | 12.24 (±1.5%) |  |  | 15.272 (±2.3%) | 109.69 (±0.4%) |
| 2020 Bergen, New Jersey | 1836 (±1.1%) |  | 11.58 (±1.3%) |  |  | 16.241 (±2.6%) | 109.67 (±0.5%) |
| 1991 Suffolk, New York | 1988 (±0.3%) |  | 5.41 (±1.6%) |  |  | 14.155 (±0.9%) | 109.36 (±0.2%) |
| 1903 Middlesex, Massachusetts | 1848 (±0.4%) |  | 8.65 (±1.3%) |  |  | 14.925 (±0.9%) | 118.32 (±0.1%) |
| 1633 Philadelphia, Pennsylvania | 1656 (±0.4%) |  | 7.74 (±3.2%) |  |  | 17.626 (±0.8%) | 121.42 (±0.1%) |
| 1432 Westchester, New York | 1403 (±0.4%) |  | 5.04 (±3.7%) |  |  | 12.532 (±1.3%) | 105.20 (±0.2%) |
| 1385 Hartford, Connecticut | 1369 (±0.3%) |  | 12.95 (±1.7%) |  |  | 14.730 (±0.8%) | 116.05 (±0.1%) |
| 1380 Fairfield, Connecticut | 1370 (±0.2%) |  | 9.24 (±2.1%) |  |  | 14.529 (±0.6%) | 111.34 (±0.1%) |
| 1361 Middlesex, New Jersey | 1287 (±1.4%) |  | 9.27 (±2.2%) |  |  | 18.897 (±2.6%) | 118.02 (±0.5%) |
| 1341 Union, New Jersey | 1244 (±1.0%) |  | 9.05 (±1.7%) |  |  | 16.203 (±2.4%) | 113.62 (±0.4%) |
| 1216 Passaic, New Jersey | 1121 (±1.1%) |  | 8.19 (±2.6%) |  |  | 16.436 (±2.5%) | 116.67 (±0.4%) |
| 1133 Essex, Massachusetts | 1125 (±0.3%) |  | 7.72 (±1.5%) |  |  | 16.425 (±0.6%) | 120.70 (±0.1%) |
| 1097 Oakland, Michigan | 1083 (±0.2%) |  | 10.93 (±1.8%) |  |  | 14.378 (±0.6%) | 106.13 (±0.1%) |
| 1092 Miami-Dade, Florida | 1113 (±1.7%) |  | 6.29 (±4.8%) |  |  | 22.624 (±2.1%) | 127.89 (±0.6%) |
| 1079 New Haven, Connecticut | 1085 (±0.2%) |  | 9.83 (±2.0%) |  |  | 15.551 (±0.5%) | 116.37 (±0.1%) |
| 1013 Suffolk, Massachusetts | 982 (±0.5%) |  | 5.83 (±2.6%) |  |  | 14.055 (±1.2%) | 115.78 (±0.2%) |
| 1012 Maricopa, Arizona | 1684 (±7.5%) |  | 4.29 (±15.3%) |  |  | 33.455 (±3.7%) | 168.41 (±2.3%) |
| 992 Ocean, New Jersey | 967 (±1.0%) |  | 11.94 (±2.2%) |  |  | 19.317 (±1.7%) | 119.89 (±0.4%) |
| 954 Worcester, Massachusetts | 963 (±0.2%) |  | 8.29 (±2.0%) |  |  | 16.749 (±0.4%) | 126.23 (±0.1%) |
| 923 Macomb, Michigan | 895 (±0.4%) |  | 13.85 (±1.4%) |  |  | 13.831 (±1.1%) | 107.05 (±0.2%) |
| 831 Monmouth, New Jersey | 823 (±1.3%) |  | 10.78 (±2.0%) |  |  | 20.505 (±2.1%) | 119.86 (±0.5%) |
| 822 Montgomery, Pennsylvania | 801 (±0.6%) |  | 11.49 (±2.5%) |  |  | 15.387 (±1.5%) | 118.92 (±0.2%) |
| 817 Morris, New Jersey | 732 (±1.4%) |  | 13.28 (±1.4%) |  |  | 17.008 (±3.1%) | 112.03 (±0.6%) |
| 789 Hennepin, Minnesota | 805 (±0.4%) |  | 6.05 (±4.9%) |  |  | 17.454 (±0.8%) | 126.32 (±0.1%) |
| 700 Prince George’s, Maryland | 711 (±0.3%) |  | 4.94 (±5.3%) |  |  | 17.944 (±0.6%) | 123.91 (±0.1%) |
| 690 Marion, Indiana | 698 (±0.4%) |  | 7.46 (±3.5%) |  |  | 17.733 (±0.8%) | 116.73 (±0.2%) |
| 674 Plymouth, Massachusetts | 669 (±0.5%) |  | 8.33 (±1.9%) |  |  | 16.415 (±1.1%) | 120.00 (±0.2%) |
| 672 Hampden, Massachusetts | 659 (±0.5%) |  | 11.01 (±1.8%) |  |  | 15.514 (±1.2%) | 113.66 (±0.2%) |
| 668 Rockland, New York | 657 (±0.3%) |  | 5.65 (±2.7%) |  |  | 12.294 (±1.2%) | 104.56 (±0.2%) |
| 664 Delaware, Pennsylvania | 658 (±0.5%) |  | 10.46 (±2.4%) |  |  | 15.320 (±1.2%) | 121.93 (±0.2%) |
| 639 Erie, New York | 655 (±0.4%) |  | 9.70 (±3.7%) |  |  | 17.938 (±0.8%) | 120.86 (±0.2%) |
| 632 King, Washington | 609 (±0.2%) |  | 8.02 (±2.3%) |  |  | 16.758 (±0.6%) | 98.06 (±0.1%) |
| 596 Mercer, New Jersey | 576 (±0.6%) |  | 8.99 (±2.5%) |  |  | 16.877 (±1.4%) | 119.73 (±0.2%) |
| 594 Bristol, Massachusetts | 627 (±0.6%) |  | 7.70 (±2.9%) |  |  | 20.088 (±0.9%) | 128.85 (±0.2%) |
| 593 St. Louis, Missouri | 567 (±0.6%) |  | 11.39 (±2.6%) |  |  | 16.362 (±1.4%) | 116.96 (±0.3%) |
| 578 Palm Beach, Florida | 655 (±2.4%) |  | 7.88 (±7.0%) |  |  | 26.623 (±2.3%) | 133.66 (±0.9%) |
| 571 Bucks, Pennsylvania | 570 (±0.3%) |  | fiterr (±err) |  |  | 14.849 (±0.7%) | 120.84 (±0.1%) |
| 568 District of Columbia, District of Columbia | 561 (±0.3%) |  | 6.81 (±3.7%) |  |  | 16.781 (±0.6%) | 120.41 (±0.1%) |
| 544 Somerset, New Jersey | 494 (±1.2%) |  | 12.21 (±1.5%) |  |  | 16.807 (±2.6%) | 113.99 (±0.5%) |
| 540 Camden, New Jersey | 558 (±1.8%) |  | 8.44 (±2.5%) |  |  | 22.369 (±2.2%) | 131.24 (±0.6%) |
| 539 Orleans, Louisiana | 523 (±0.2%) |  | 7.57 (±1.6%) |  |  | 13.098 (±0.7%) | 98.75 (±0.1%) |
| 533 Riverside, California | 529 (±1.4%) |  | 6.70 (±6.3%) |  |  | 22.639 (±1.6%) | 130.16 (±0.4%) |
| 493 Baltimore, Maryland | 517 (±0.3%) |  | 7.96 (±4.6%) |  |  | 19.601 (±0.5%) | 130.76 (±0.1%) |
| 489 Jefferson, Louisiana | 471 (±0.4%) |  | 6.55 (±3.0%) |  |  | 13.629 (±1.3%) | 102.09 (±0.2%) |
| 484 Orange, New York | 473 (±0.4%) |  | 5.08 (±2.2%) |  |  | 14.236 (±1.3%) | 106.87 (±0.2%) |
| 483 DuPage, Illinois | 493 (±0.4%) |  | 5.85 (±3.8%) |  |  | 18.760 (±0.7%) | 123.17 (±0.1%) |
| 468 Clark, Nevada | 434 (±0.8%) |  | 7.44 (±5.7%) |  |  | 19.288 (±1.5%) | 115.59 (±0.3%) |
| 446 Burlington, New Jersey | 458 (±1.4%) |  | 9.54 (±2.6%) |  |  | 20.937 (±1.9%) | 128.91 (±0.4%) |
| 436 Dallas, Texas | 517 (±2.8%) |  | 4.27 (±8.6%) |  |  | 27.542 (±2.2%) | 143.08 (±0.9%) |
| 427 Broward, Florida | 399 (±0.9%) |  | 5.84 (±4.8%) |  |  | 18.690 (±1.7%) | 115.40 (±0.4%) |
| 423 Harris, Texas | 490 (±3.7%) |  | 3.64 (±5.7%) |  |  | 26.976 (±3.2%) | 137.97 (±1.3%) |
| 415 San Diego, California | 419 (±1.2%) |  | 5.95 (±6.8%) |  |  | 22.297 (±1.5%) | 127.93 (±0.4%) |
| 402 Orange, California | 1160 (±7.0%) |  | 5.30 (±8.2%) |  |  | 38.330 (±2.4%) | 194.69 (±1.8%) |
| 398 Milwaukee, Wisconsin | 405 (±1.1%) |  | 5.76 (±7.2%) |  |  | 20.568 (±1.8%) | 117.25 (±0.4%) |
| 387 Denver, Colorado | 390 (±0.4%) |  | fiterr (±err) |  |  | 17.227 (±0.8%) | 119.80 (±0.1%) |
| 383 Cuyahoga, Ohio | 442 (±1.4%) |  | 7.40 (±5.1%) |  |  | 24.023 (±1.5%) | 135.10 (±0.5%) |
| 377 Lancaster, Pennsylvania | 358 (±0.8%) |  | 10.98 (±3.2%) |  |  | 16.231 (±1.9%) | 117.81 (±0.3%) |
| 358 Baltimore City, Maryland | 356 (±0.7%) |  | 6.51 (±4.8%) |  |  | 19.017 (±1.1%) | 126.01 (±0.2%) |
| 356 Berks, Pennsylvania | 364 (±0.9%) |  | 9.52 (±2.9%) |  |  | 15.953 (±1.9%) | 123.67 (±0.3%) |
| 349 Arapahoe, Colorado | 358 (±0.7%) |  | 7.80 (±2.4%) |  |  | 16.754 (±1.4%) | 120.05 (±0.2%) |
| 332 Chester, Pennsylvania | 330 (±0.4%) |  | 10.56 (±3.1%) |  |  | 15.715 (±0.8%) | 122.85 (±0.1%) |
| 322 Will, Illinois | 322 (±0.5%) |  | 6.69 (±5.4%) |  |  | 17.116 (±1.0%) | 114.98 (±0.2%) |
| 319 Fulton, Georgia | 363 (±1.2%) |  | 7.16 (±3.8%) |  |  | 23.205 (±1.4%) | 127.23 (±0.4%) |
| 315 Lehigh, Pennsylvania | 322 (±0.7%) |  | 9.16 (±2.4%) |  |  | 18.921 (±1.1%) | 129.96 (±0.2%) |
| 313 Pima, Arizona | 314 (±2.1%) |  | 7.51 (±9.9%) |  |  | 22.926 (±2.5%) | 130.05 (±0.7%) |
| 304 San Bernardino, California | 286 (±1.3%) |  | 5.27 (±7.9%) |  |  | 21.105 (±1.9%) | 126.01 (±0.5%) |
| 290 Genesee, Michigan | 283 (±0.2%) |  | 12.08 (±1.8%) |  |  | 12.475 (±0.8%) | 107.00 (±0.1%) |
| 281 Kane, Illinois | 322 (±1.1%) |  | 2.99 (±7.5%) |  |  | 22.140 (±1.2%) | 137.75 (±0.3%) |
| 276 East Baton Rouge, Louisiana | 272 (±0.3%) |  | 8.49 (±5.4%) |  |  | 16.140 (±0.6%) | 114.14 (±0.1%) |
| 273 Monroe, New York | 284 (±0.8%) |  | 8.14 (±4.2%) |  |  | 20.217 (±1.2%) | 120.20 (±0.3%) |
| 257 Hillsborough, New Hampshire | 290 (±2.1%) |  | 8.02 (±8.2%) |  |  | 18.644 (±2.6%) | 147.32 (±0.4%) |
| 254 Tarrant, Texas | 268 (±1.0%) |  | 3.79 (±5.6%) |  |  | 22.940 (±1.1%) | 132.26 (±0.3%) |
| 249 New Castle, Delaware | 274 (±2.0%) |  | 6.92 (±5.6%) |  |  | 22.581 (±2.3%) | 132.78 (±0.6%) |
| 248 Cobb, Georgia | 280 (±1.2%) |  | 7.38 (±3.7%) |  |  | 23.332 (±1.4%) | 127.66 (±0.4%) |
| 247 Lake, Indiana | 260 (±0.6%) |  | 6.58 (±3.2%) |  |  | 19.517 (±1.0%) | 124.58 (±0.2%) |
| 243 Caddo, Louisiana | 248 (±1.0%) |  | 10.96 (±3.8%) |  |  | 20.114 (±1.6%) | 118.77 (±0.4%) |
| 239 Mahoning, Ohio | 246 (±0.7%) |  | 14.82 (±1.4%) |  |  | 19.726 (±1.1%) | 123.05 (±0.2%) |
| 230 Ramsey, Minnesota | 273 (±1.4%) |  | 4.70 (±4.8%) |  |  | 20.868 (±1.5%) | 145.23 (±0.3%) |
| 226 Atlantic, New Jersey | 226 (±1.2%) |  | 8.38 (±2.3%) |  |  | 18.482 (±2.0%) | 131.98 (±0.3%) |
| 221 Pinellas, Florida | 1410 (±49.5%) |  | 5.61 (±44.2%) |  |  | 52.967 (±11.2%) | 248.91 (±11.9%) |
| 214 Jefferson, Colorado | 230 (±0.7%) |  | 9.55 (±3.2%) |  |  | 20.299 (±1.1%) | 125.25 (±0.3%) |
| 210 Anne Arundel, Maryland | 212 (±0.5%) |  | 5.47 (±3.9%) |  |  | 17.556 (±0.9%) | 119.67 (±0.2%) |
| 209 Summit, Ohio | 216 (±1.0%) |  | 10.85 (±2.0%) |  |  | 16.758 (±1.8%) | 128.40 (±0.3%) |
| 206 Hamilton, Ohio | 212 (±1.0%) |  | fiterr (±err) |  |  | 20.086 (±1.5%) | 125.42 (±0.3%) |
| 204 Jefferson, Kentucky | 202 (±1.1%) |  | 6.52 (±4.9%) |  |  | 19.956 (±1.9%) | 117.68 (±0.4%) |
| 194 Sussex, New Jersey | 186 (±1.4%) |  | fiterr (±err) |  |  | 17.167 (±3.2%) | 113.19 (±0.6%) |
| 193 Gloucester, New Jersey | 188 (±0.9%) |  | 8.91 (±3.2%) |  |  | 17.094 (±1.7%) | 126.97 (±0.3%) |
| 188 Onondaga, New York | 202 (±1.0%) |  | 7.16 (±7.7%) |  |  | 18.685 (±1.5%) | 133.37 (±0.3%) |
| 187 Middlesex, Connecticut | 184 (±0.7%) |  | 15.83 (±2.4%) |  |  | 17.209 (±1.3%) | 118.72 (±0.2%) |
| 186 McKinley, New Mexico | 190 (±0.9%) |  | fiterr (±err) |  |  | 18.580 (±1.3%) | 138.91 (±0.2%) |
| 183 St. Tammany, Louisiana | 173 (±0.5%) |  | 11.38 (±3.1%) |  |  | 14.506 (±1.3%) | 109.41 (±0.2%) |
| 182 Hillsborough, Florida | 285 (±6.8%) |  | 7.81 (±7.1%) |  |  | 33.112 (±3.5%) | 165.87 (±2.1%) |
| 179 Luzerne, Pennsylvania | 176 (±0.7%) |  | 7.32 (±2.1%) |  |  | 16.256 (±1.7%) | 116.84 (±0.3%) |
| 178 Snohomish, Washington | 167 (±0.9%) |  | 6.39 (±2.4%) |  |  | 18.365 (±2.0%) | 102.29 (±0.5%) |
| 176 Sussex, Delaware | 177 (±0.9%) |  | 4.35 (±3.5%) |  |  | 18.016 (±1.7%) | 124.04 (±0.3%) |
| 175 DeKalb, Georgia | 204 (±1.1%) |  | 4.88 (±4.8%) |  |  | 23.078 (±1.3%) | 134.01 (±0.4%) |
| 169 Henrico, Virginia | 139 (±1.2%) |  | 8.87 (±4.6%) |  |  | 13.165 (±3.8%) | 108.55 (±0.6%) |
| 167 Warren, New Jersey | 151 (±0.9%) |  | fiterr (±err) |  |  | 15.670 (±2.1%) | 114.58 (±0.4%) |
| 166 Santa Clara, California | 155 (±0.5%) |  | 5.98 (±3.6%) |  |  | 15.812 (±1.2%) | 102.44 (±0.3%) |
| 165 Bexar, Texas | 210 (±13.4%) |  | 5.74 (±6.5%) |  |  | 36.787 (±7.7%) | 154.37 (±5.6%) |
| 162 Jefferson, Alabama | 170 (±1.9%) |  | 7.95 (±6.5%) |  |  | 24.118 (±2.1%) | 132.43 (±0.6%) |
| 159 Puerto Rico | 152 (±0.5%) |  | 4.71 (±7.6%) |  |  | 16.314 (±1.2%) | 109.30 (±0.2%) |
| 158 St. Louis City, Missouri | 163 (±0.6%) |  | 8.28 (±3.2%) |  |  | 18.847 (±1.1%) | 120.91 (±0.2%) |
| 156 Adams, Colorado | 165 (±0.8%) |  | 4.83 (±4.5%) |  |  | 19.860 (±1.2%) | 120.93 (±0.3%) |
| 155 Dougherty, Georgia | 150 (±0.5%) |  | 9.03 (±2.1%) |  |  | 13.229 (±1.6%) | 99.99 (±0.3%) |
| 152 Dutchess, New York | 153 (±1.3%) |  | 4.35 (±2.2%) |  |  | 13.732 (±3.4%) | 122.95 (±0.4%) |
| 150 Barnstable, Massachusetts | 152 (±0.7%) |  | 11.27 (±3.4%) |  |  | 18.230 (±1.3%) | 125.61 (±0.2%) |
| 149 Cumberland, New Jersey | 189 (±2.3%) |  | fiterr (±err) |  |  | 23.367 (±2.1%) | 148.91 (±0.6%) |
| 148 Tulare, California | 163 (±2.7%) |  | 5.46 (±8.3%) |  |  | 25.355 (±2.5%) | 137.57 (±0.9%) |
| 145 El Paso, Texas | 166 (±1.4%) |  | 4.49 (±8.1%) |  |  | 22.271 (±1.4%) | 145.23 (±0.4%) |
| 144 St. Clair, Illinois | 170 (±1.8%) |  | 8.89 (±3.6%) |  |  | 24.007 (±1.8%) | 139.41 (±0.6%) |
| 139 Kent, Michigan | 173 (±2.1%) |  | 2.90 (±3.6%) |  |  | 24.978 (±2.0%) | 139.63 (±0.7%) |
| 138 Weld, Colorado | 137 (±0.3%) |  | 5.89 (±3.0%) |  |  | 14.179 (±0.7%) | 105.34 (±0.1%) |
| 137 Mobile, Alabama | 136 (±0.4%) |  | 6.62 (±6.4%) |  |  | 15.760 (±0.9%) | 118.34 (±0.1%) |
| 135 Navajo, Arizona | 267 (±8.5%) |  | 5.45 (±7.3%) |  |  | 33.794 (±4.1%) | 170.77 (±2.5%) |
| 133 Allen, Indiana | 151 (±7.4%) |  | 7.08 (±5.7%) |  |  | 28.248 (±6.2%) | 138.20 (±2.7%) |
| 132 Arlington, Virginia | 137 (±0.7%) |  | 6.50 (±4.0%) |  |  | 16.559 (±1.5%) | 125.95 (±0.2%) |
| 127 Imperial, California | 255096 (±127.8%) |  | 1.88 (±23.2%) |  |  | 82.702 (±8.3%) | 472.83 (±10.6%) |
| 125 Hunterdon, New Jersey | 1133 (±116.9%) |  | fiterr (±err) |  |  | 59.274 (±25.0%) | 269.22 (±28.7%) |
| 124 Yuma, Arizona | 291 (±5.8%) |  | 0.56 (±76.9%) |  |  | 26.247 (±2.4%) | 185.81 (±0.9%) |
| 123 Hidalgo, Texas | 832564 (±1006.6%) |  | 8.72 (±29.6%) |  |  | 65.039 (±53.0%) | 412.12 (±61.2%) |
| 121 El Paso, Colorado | 114 (±1.4%) |  | 8.10 (±4.2%) |  |  | 18.665 (±2.7%) | 107.17 (±0.7%) |
| 120 Frederick, Maryland | 119 (±0.3%) |  | 7.04 (±4.7%) |  |  | 15.678 (±0.8%) | 117.28 (±0.1%) |
| 118 Johnson, Indiana | 118 (±0.2%) |  | 10.62 (±2.5%) |  |  | 14.715 (±0.6%) | 113.72 (±0.1%) |
| 117 Hampshire, Massachusetts | 115 (±0.7%) |  | 12.32 (±1.2%) |  |  | 16.481 (±1.3%) | 126.70 (±0.2%) |
| 114 Carroll, Maryland | 124 (±1.2%) |  | 11.29 (±3.0%) |  |  | 21.552 (±1.8%) | 122.38 (±0.4%) |
| 111 San Mateo, California | 116 (±0.9%) |  | 6.01 (±4.8%) |  |  | 21.519 (±1.4%) | 119.33 (±0.4%) |
| 109 Montgomery, Alabama | 178 (±3.6%) |  | 2.81 (±21.8%) |  |  | 27.142 (±2.1%) | 165.67 (±0.8%) |
| 107 Washtenaw, Michigan | 105 (±0.4%) |  | 8.14 (±3.2%) |  |  | 13.970 (±1.0%) | 111.65 (±0.2%) |
| 102 New London, Connecticut | 106 (±0.6%) |  | 8.90 (±1.9%) |  |  | 16.599 (±1.3%) | 123.38 (±0.2%) |
| 101 Apache, Arizona | 182 (±5.8%) |  | 5.78 (±4.9%) |  |  | 28.964 (±3.0%) | 171.94 (±1.4%) |
| 100 Sarasota, Florida | 102 (±0.8%) |  | 10.51 (±9.1%) |  |  | 19.276 (±1.3%) | 120.08 (±0.3%) |
| 99 Loudoun, Virginia | 98 (±1.5%) |  | 3.85 (±8.6%) |  |  | 19.925 (±2.1%) | 134.32 (±0.4%) |
| 98 Douglas, Nebraska | 271 (±19.2%) |  | fiterr (±err) |  |  | 33.238 (±7.4%) | 186.79 (±4.4%) |
| 97 Coconino, Arizona | 98 (±0.6%) |  | 6.46 (±5.5%) |  |  | 19.171 (±1.2%) | 117.10 (±0.2%) |
| 96 Mohave, Arizona | 119 (±2.8%) |  | 9.53 (±9.8%) |  |  | 24.170 (±2.4%) | 150.64 (±0.7%) |
| 94 Dakota, Minnesota | 102 (±1.9%) |  | fiterr (±err) |  |  | 18.505 (±2.5%) | 144.29 (±0.4%) |
| 93 Howard, Maryland | 103 (±1.1%) |  | 5.06 (±5.2%) |  |  | 22.213 (±1.2%) | 135.23 (±0.3%) |
| 92 Kent, Delaware | 98 (±0.9%) |  | 6.36 (±3.8%) |  |  | 19.967 (±1.3%) | 129.24 (±0.3%) |
| 90 Lafourche, Louisiana | 85 (±0.9%) |  | 11.03 (±2.7%) |  |  | 16.684 (±2.0%) | 114.17 (±0.4%) |
| 89 Kern, California | 125 (±4.3%) |  | 4.76 (±8.7%) |  |  | 27.568 (±2.7%) | 159.70 (±1.1%) |
| 88 Contra Costa, California | 611 (±66.3%) |  | fiterr (±err) |  |  | 58.255 (±15.2%) | 258.13 (±17.6%) |
| 87 Fresno, California | 127 (±5.3%) |  | 3.48 (±8.1%) |  |  | 26.135 (±3.4%) | 161.68 (±1.3%) |
| 86 Washoe, Nevada | 85 (±1.1%) |  | fiterr (±err) |  |  | 21.350 (±1.6%) | 123.90 (±0.4%) |
| 85 Collier, Florida | 97 (±3.1%) |  | 5.93 (±8.3%) |  |  | 24.835 (±3.0%) | 139.05 (±1.0%) |
| 84 Ouachita, Louisiana | 115 (±3.3%) |  | 7.09 (±6.1%) |  |  | 28.669 (±2.3%) | 149.48 (±1.0%) |
| 83 Linn, Iowa | 83 (±0.4%) |  | 8.08 (±2.9%) |  |  | 14.632 (±1.0%) | 113.49 (±0.2%) |
| 82 Pinal, Arizona | 186 (±26.4%) |  | 5.24 (±8.4%) |  |  | 38.959 (±11.1%) | 183.29 (±8.3%) |
| 81 Clayton, Georgia | 112 (±4.9%) |  | 6.57 (±4.9%) |  |  | 29.227 (±3.9%) | 140.64 (±1.8%) |
| 78 Sacramento, California | 67 (±1.1%) |  | 5.06 (±4.7%) |  |  | 17.423 (±2.4%) | 104.15 (±0.6%) |
| 77 Charlotte, Florida | 81 (±0.8%) |  | 12.01 (±5.2%) |  |  | 16.913 (±1.5%) | 127.60 (±0.2%) |
| 76 Rapides, Louisiana | 243 (±12.3%) |  | 6.04 (±16.4%) |  |  | 39.877 (±4.0%) | 200.83 (±3.1%) |
| 75 St. Charles, Missouri | 73 (±0.9%) |  | 9.77 (±2.9%) |  |  | 17.730 (±1.9%) | 115.45 (±0.4%) |
| 74 Duval, Florida | 82 (±1.5%) |  | 4.81 (±5.1%) |  |  | 25.425 (±1.5%) | 131.00 (±0.5%) |
| 73 Boulder, Colorado | 71 (±0.4%) |  | 6.88 (±2.8%) |  |  | 14.060 (±1.1%) | 114.30 (±0.2%) |
| 72 Oklahoma, Oklahoma | 73 (±0.9%) |  | 5.75 (±5.3%) |  |  | 20.065 (±1.5%) | 115.00 (±0.4%) |
| 71 Cameron, Texas | 88 (±6.6%) |  | 7.63 (±6.3%) |  |  | 29.209 (±4.9%) | 148.05 (±2.2%) |
| 70 Madison, Illinois | 71 (±0.7%) |  | fiterr (±err) |  |  | 16.075 (±1.5%) | 125.79 (±0.2%) |
| 69 Tallapoosa, Alabama | 70 (±1.1%) |  | 15.16 (±2.4%) |  |  | 13.184 (±3.0%) | 122.21 (±0.4%) |
| 68 Lorain, Ohio | 66 (±0.7%) |  | 8.10 (±2.6%) |  |  | 14.126 (±1.9%) | 117.20 (±0.3%) |
| 67 San Joaquin, California | 71 (±5.6%) |  | 6.14 (±7.0%) |  |  | 30.654 (±4.8%) | 130.11 (±2.5%) |
| 66 Cumberland, Pennsylvania | 64 (±0.9%) |  | 8.86 (±1.9%) |  |  | 15.438 (±1.9%) | 126.22 (±0.3%) |
| 65 Kankakee, Illinois | 74 (±1.8%) |  | 7.91 (±7.0%) |  |  | 22.766 (±2.3%) | 127.76 (±0.6%) |
| 64 Tolland, Connecticut | 65 (±0.4%) |  | 7.86 (±2.6%) |  |  | 16.595 (±0.9%) | 108.64 (±0.2%) |
| 63 Pulaski, Arkansas | 104 (±6.2%) |  | 5.24 (±6.0%) |  |  | 33.884 (±3.6%) | 157.27 (±2.2%) |
| 61 Chesterfield, Virginia | 95 (±19.3%) |  | 4.08 (±8.4%) |  |  | 38.613 (±12.8%) | 152.83 (±8.7%) |
| 60 Ascension, Louisiana | 58 (±0.6%) |  | 7.53 (±3.2%) |  |  | 14.911 (±1.6%) | 104.81 (±0.3%) |
| 59 St. Lucie, Florida | 66 (±8.5%) |  | 7.06 (±18.6%) |  |  | 30.427 (±7.0%) | 135.86 (±3.5%) |
| 58 Howard, Indiana | 74 (±3.7%) |  | 11.34 (±6.1%) |  |  | 22.123 (±3.4%) | 150.47 (±0.8%) |
| 57 Elkhart, Indiana | 55 (±4.9%) |  | fiterr (±err) |  |  | 24.420 (±4.8%) | 139.07 (±1.5%) |
| 56 Franklin, Massachusetts | 53 (±0.9%) |  | 16.18 (±1.4%) |  |  | 16.370 (±2.4%) | 103.26 (±0.5%) |
| 55 Muscogee, Georgia | 2166 (±95.8%) |  | 4.38 (±19.3%) |  |  | 66.527 (±13.0%) | 335.75 (±15.3%) |
| 54 Orleans, New York | 60 (±2.4%) |  | 18.64 (±3.1%) |  |  | 20.015 (±3.1%) | 138.17 (±0.6%) |
| 53 Ventura, California | 59 (±2.4%) |  | 5.71 (±7.1%) |  |  | 27.186 (±2.3%) | 130.74 (±0.9%) |
| 52 Douglas, Colorado | 54 (±1.1%) |  | 7.84 (±3.3%) |  |  | 18.446 (±2.2%) | 117.40 (±0.4%) |
| 51 St. Mary’s, Maryland | 71 (±5.0%) |  | 7.06 (±11.0%) |  |  | 22.888 (±4.2%) | 153.79 (±1.1%) |
| 50 San Francisco, California | 50 (±0.7%) |  | 2.56 (±6.1%) |  |  | 19.118 (±1.4%) | 110.53 (±0.3%) |
| 49 St. Charles, Louisiana | 46 (±0.6%) |  | 8.08 (±2.6%) |  |  | 12.630 (±2.1%) | 99.45 (±0.3%) |
| 48 Iberia, Louisiana | 45 (±0.7%) |  | 10.29 (±4.3%) |  |  | 16.629 (±1.4%) | 118.22 (±0.3%) |
| 47 Hall, Nebraska | 47 (±1.4%) |  | 3.10 (±4.8%) |  |  | 15.163 (±3.2%) | 120.34 (±0.5%) |
| 46 Morgan, Colorado | 47 (±1.0%) |  | 7.51 (±2.2%) |  |  | 14.136 (±2.7%) | 123.68 (±0.3%) |
| 45 Upson, Georgia | 44 (±1.2%) |  | 15.81 (±2.8%) |  |  | 17.877 (±2.5%) | 120.24 (±0.4%) |
| 44 Boone, Indiana | 40 (±1.0%) |  | fiterr (±err) |  |  | 13.920 (±2.9%) | 114.62 (±0.4%) |
| 43 Iberville, Louisiana | 43 (±0.3%) |  | 7.53 (±3.1%) |  |  | 13.940 (±0.9%) | 106.14 (±0.2%) |
| 42 Bartow, Georgia | 40 (±0.6%) |  | 8.73 (±3.5%) |  |  | 13.396 (±2.0%) | 103.02 (±0.3%) |
| 41 Bibb, Georgia | 45 (±1.5%) |  | 7.58 (±4.7%) |  |  | 20.413 (±2.0%) | 135.11 (±0.4%) |
| 40 Yolo, California | 25 (±1.5%) |  | 16.31 (±4.0%) |  |  | 12.732 (±4.7%) | 111.36 (±0.7%) |
| 39 Kings, California | 322617 (±466.7%) |  | 2.89 (±11.7%) |  |  | 71.639 (±25.3%) | 439.92 (±30.4%) |
| 38 Chatham, Georgia | 48 (±2.5%) |  | 6.93 (±8.9%) |  |  | 25.728 (±2.3%) | 140.30 (±0.8%) |
| 37 Lee, Alabama | 35 (±0.6%) |  | 5.98 (±3.9%) |  |  | 12.319 (±2.0%) | 107.13 (±0.3%) |
| 36 Martin, Florida | 65113 (±298.5%) |  | 5.74 (±14.1%) |  |  | 100.301 (±19.8%) | 551.18 (±26.6%) |
| 35 Washington, Arkansas | 731297 (±594.9%) |  | 2.47 (±60.0%) |  |  | 92.425 (±29.2%) | 548.07 (±38.4%) |
| 34 Clay, Florida | 36 (±0.8%) |  | 8.42 (±3.6%) |  |  | 20.498 (±1.4%) | 115.01 (±0.3%) |
| 33 Hancock, Georgia | 32 (±1.2%) |  | 16.01 (±1.8%) |  |  | 11.224 (±3.5%) | 140.82 (±0.3%) |
| 32 Early, Georgia | 31 (±0.6%) |  | 13.44 (±1.4%) |  |  | 12.505 (±1.8%) | 111.51 (±0.2%) |
| 31 Osceola, Florida | 29 (±2.9%) |  | 4.57 (±4.5%) |  |  | 23.483 (±3.7%) | 126.19 (±1.0%) |
| 30 Marin, California | 23 (±7.5%) |  | 6.03 (±7.9%) |  |  | 29.124 (±10.4%) | 105.24 (±3.8%) |
| 29 Houston, Georgia | 26 (±4.0%) |  | 7.80 (±4.4%) |  |  | 25.227 (±5.9%) | 110.69 (±1.8%) |
| 28 Butler, Alabama | 30 (±1.4%) |  | 5.83 (±4.2%) |  |  | 15.806 (±2.4%) | 141.58 (±0.3%) |
| 27 Walker, Alabama | 423 (±105.1%) |  | 4.92 (±40.7%) |  |  | 36.540 (±18.1%) | 238.77 (±12.8%) |
| 26 Brevard, Florida | 37 (±20.4%) |  | 5.45 (±5.7%) |  |  | 41.693 (±11.8%) | 157.99 (±9.8%) |
| 25 Barrow, Georgia | 32 (±4.1%) |  | 5.87 (±3.4%) |  |  | 21.784 (±4.4%) | 142.94 (±1.1%) |
| 24 Shelby, Alabama | 23 (±1.5%) |  | 5.20 (±6.6%) |  |  | 17.475 (±3.3%) | 111.48 (±0.6%) |
| 23 Lee, Georgia | 22 (±0.6%) |  | 6.45 (±3.2%) |  |  | 11.602 (±2.8%) | 93.77 (±0.4%) |
| 22 Hale, Alabama | 28 (±4.9%) |  | 7.19 (±12.6%) |  |  | 20.527 (±4.4%) | 158.04 (±0.9%) |
| 21 Suwannee, Florida | 19 (±0.7%) |  | 9.90 (±5.0%) |  |  | 9.489 (±3.4%) | 110.70 (±0.3%) |
| 20 Chaffee, Colorado | 20 (±1.0%) |  | 25.35 (±2.1%) |  |  | 11.533 (±3.4%) | 111.45 (±0.4%) |
| 19 Colquitt, Georgia | 20 (±1.9%) |  | 5.53 (±8.6%) |  |  | 22.783 (±2.7%) | 119.06 (±0.7%) |
| 18 Jackson, West Virginia | 18 (±0.6%) |  | 11.95 (±4.7%) |  |  | 7.684 (±3.2%) | 115.19 (±0.2%) |
| 17 Clinton, Illinois | 17 (±0.4%) |  | 7.16 (±6.0%) |  |  | 9.462 (±1.5%) | 125.81 (±0.1%) |
| 16 Putnam, Ohio | 15 (±0.7%) |  | 16.82 (±2.5%) |  |  | 9.454 (±3.1%) | 117.91 (±0.2%) |
| 13 Tate, Mississippi | 1092 (±282.4%) |  | 8.23 (±15.5%) |  |  | 39.534 (±31.3%) | 268.95 (±24.8%) |
Länder/Orte in dieser Liste müssen Bedingungen im Datensatz haben: Anzahl Verstorbener muß mindestens 13 betragen und weiterhin mindestens 7 subsequent steigende Zahlen vorliegen. Bei Erstaufnahme wird der Wendepunkt geraten, wobei die x über die Hälfte vom Maximalwert gesucht wird und den ersten darüber nimmt. Ist der Wendepunkt dann am letzten Wert, wird dieser Datensatz übersprungen.
Ausgelassene Länder/Orte können in dieser Liste gefunden werden.