154.950 ga
NHL Standings in 10 game steps up to 70. The West.
2024.03.29 04:43 BoomMcFuggins NHL Standings in 10 game steps up to 70. The West.
submitted by BoomMcFuggins to hockey [link] [comments]2024.03.07 20:04 BoomMcFuggins NHL Standings in 10 game steps up to 60. The West.
submitted by BoomMcFuggins to hockey [link] [comments]2024.03.07 19:57 BoomMcFuggins NHL Standings in 10 game steps up to 60. The East...
submitted by BoomMcFuggins to hockey [link] [comments]2024.02.16 19:15 BoomMcFuggins NHL Standings in 10 game steps up to 50. The West.
submitted by BoomMcFuggins to hockey [link] [comments]2023.12.27 22:01 BoomMcFuggins NHL Standings in 10 game steps. Today the West.
submitted by BoomMcFuggins to hockey [link] [comments]2023.12.18 03:19 Ok-Ability-3364 Some of my auto collection. Any recommendations on lighting for Billy bookcases to better showcase?
 | I have 4 Billy bookcases and one of them is full of autographs however I definitely need to find some kind of lighting to better show them off. Any recommendations? submitted by Ok-Ability-3364 to funkopop [link] [comments] |
2023.09.07 14:04 boutell New US CCS chargers report for August 2023
Here are all of the new US CCS (Level 3 fast-charging) stations that rolled out in August 2023, according to the Department of Energy. You can get the data yourself here.
These chargers are suitable for most new EVs on the market, except for:
There were 154 CCS charging stations with a total of 299 chargepoints added or refreshed in August 2023, which is down from 210 charging stations in July. Perhaps a better comparison: there were only 109 new CCS charging stations in August 2022. Things are still speeding up overall.
"Didn't Ford, GM, Volvo, Polestar, Rivian and your sister's chiropractor's dog all sign up to charge at Tesla superchargers?" Yes, most EV manufacturers are getting on board for this, and yes, at some point there will be adapters for most existing CCS cars from those manufacturers. But today, Tesla superchargers are not yet an option for non-Tesla cars, except for a handful of "magic dock" locations. So this report still makes sense.
If you'd like to know about new chargers along your routes right away, or just prefer not to check this list monthly when new openings are rare in your area, I've set up a free service that provides email notifications as soon as they open. You can sign up at evpov.com. Or not! I don't really have a business plan here, I built it to help EV owners like myself.
To streamline this post, multi-chargepoint locations are listed with the number of chargepoints first. This month I've improved the number-of-chargepoints figure to take better advantage of the data, so you'll see figures greater than 1 more often.
For serious trip planning, I recommend PlugShare. But by all means check out these reported new locations and submit reviews on PlugShare, which makes things better for everyone.
submitted by boutell to electricvehicles [link] [comments]
These chargers are suitable for most new EVs on the market, except for:
- Tesla drivers who haven't bought the official CCS adapter yet. Certain older Teslas need additional work done to accept the adapter.
- Leaf owners like me, owners of the Mitsubishi Outlander PHEV, and some owners of older cars that also use CHAdeMO. If you drive such a car, see my matching post in leaf.
There were 154 CCS charging stations with a total of 299 chargepoints added or refreshed in August 2023, which is down from 210 charging stations in July. Perhaps a better comparison: there were only 109 new CCS charging stations in August 2022. Things are still speeding up overall.
"Didn't Ford, GM, Volvo, Polestar, Rivian and your sister's chiropractor's dog all sign up to charge at Tesla superchargers?" Yes, most EV manufacturers are getting on board for this, and yes, at some point there will be adapters for most existing CCS cars from those manufacturers. But today, Tesla superchargers are not yet an option for non-Tesla cars, except for a handful of "magic dock" locations. So this report still makes sense.
If you'd like to know about new chargers along your routes right away, or just prefer not to check this list monthly when new openings are rare in your area, I've set up a free service that provides email notifications as soon as they open. You can sign up at evpov.com. Or not! I don't really have a business plan here, I built it to help EV owners like myself.
To streamline this post, multi-chargepoint locations are listed with the number of chargepoints first. This month I've improved the number-of-chargepoints figure to take better advantage of the data, so you'll see figures greater than 1 more often.
For serious trip planning, I recommend PlugShare. But by all means check out these reported new locations and submit reviews on PlugShare, which makes things better for everyone.
➡ AL (2) JIM BURKE HY H S R 2 1424 5th Ave N Birmingham, AL 35203 (1) Chevrolet of Boaz 1134 Hwy 431 Boaz, AL 35957 (2) MERCEDES-FAST HYUNDAI LOT 2329 Ross Clark Cir Dothan, AL 36301 (1) Lowe Cadillac Buick GMC 801 WEST GRAND AVENUE RAINBOW CITY, AL 35906 (2) TUSCUMBIA STATION 2 113 W 5th St Tuscumbia, AL 35674 ➡ CA (6) Dunhill - Shoppes at Chino Hills (Chino Hills, CA) 13920 City Center Dr Chino Hills, CA 91709 (1) DC CORRIDOR CHEVRON D. DC1 4040 Co Rd 99W Dunnigan, CA 95937 (6) Vons #2261 3rd St. 3461 W 3rd St Los Angeles, CA 90020 (1) Alfred Matthews GMC Cadillac 3807 McHenry Ave Modesto, CA 95356 (1) METRO HONDA HVCOSAEM250AL 9399 Autoplex St Montclair, CA 91763 (2) 6104 Jarvis Ave 6104 Jarvis Ave Newark, CA 94560 (1) ENVISION MOTORS ENT CPE250 11404 Imperial Hwy. Norwalk, CA 90650 (2) VW Oxnard 3301 Sturgis Rd Oxnard, CA 93030 (6) Sprouts 1300 Pinole Valley Rd Pinole, CA 94564 (2) Griffin Living 3921 Cochran Street Simi Valley, CA 93063 (6) 1601 Tice Valley Blvd. 1601 Tice Valley Blvd Walnut Creek, CA 94595 ➡ CO (4) 2460 48th Ct 2460 48th Ct Boulder, CO 80301 (1) VOLVO CAR USA BROOMFIELD DC1 525 US-287 Broomfield, CO 80020 (2) FRCIVICCENTER CPE 250 #1 151 N Elm St Fruita, CO 81521 (1) VOLVO CAR USA GRAND JUNCT DC1 621 24 Rd Grand Junction, CO 81505 (4) Chanson Plaza 8086 W Bowles Ave Littleton, CO 80123 (1) MANITOUSPRINGS HIAWATHA TY3 495 El Paso Blvd Manitou Springs, CO 80829 (4) VAIL PARKING PL3 395 S Frontage Rd W Vail, CO 81657 ➡ FL (4) Hudson Foods – Bronson 399 N Hathaway Ave Bronson, FL 32621 (4) 7Charge - Dover 12902 Newsome Rd Dover, FL 74133 (2) Coggin Acura of Ft. Pierce 4400 S US Hwy 1 Fort Pierce, FL 34982 (2) Coggin Honda of Fort Pierce 4450 S. U.S. Highway 1 Fort Pierce, FL 34982 (1) GM - OCEAN CADILLAC 17800 Ipco Road Miami, FL 33162 (6) Palm Harbor Honda 31975 US Highway 19 North Palm Harbor, FL 34684 ➡ GA (1) IKEA_FC CPE250-1 202 Little Hearst Pkwy Port Wentworth, GA 31407 (1) IKEA_FC CPE250-2 202 Little Hearst Pkwy Savannah, GA 31407 ➡ HI (2) Haleiwa Town Center 66-145 Kamehameha Highway Haleiwa, HI 96712 ➡ IA (1) Edwards Chevrolet Buick GMC Cadillac 3400 S Expressway Council Bluffs, IA 51501 ➡ IL (1) Apple River Fort State Historic Site 259 E Myrtle St Elizabeth, IL 61028 (1) LIFT BUILDING DC CHARGER 113 S 17th St Mattoon, IL 61938 (1) Napleton's Schaumburg Buick GMC 100 W Golf Rd Schaumburg, IL 60195 ➡ IN (1) HYUNDAI WEST CPE250 SALES 5051 W Pike Plaza Rd Indianapolis, IN 46254 (1) KOKOMO TOYOTA CUST1CPE250 3815 S Lafountain St Kokomo, IN 46902 (3) 2250 Pottawattamie Ln 2250 Pottawattamie Ln Rochester, IN 46975 (1) GM - FUSON CADILLAC 4325 So. US Hwy 41 Terre Haute, IN 47802 ➡ KY (1) KERRY HYUN FLOR DC 2 6149 Hopeful Church Rd Florence, KY 41042 (1) DAN CUMMINS CHEV BU GEORGETOWN 1470 CHERRY BLOSSOM WAY GEORGETOWN, KY 40324 (1) JEFF WYLER CPE250 2 5244 Dixie Hwy Louisville, KY 40216 ➡ LA (1) GM - TRAPP CADILLAC CHEVROLET 200 S Hollywood Rd. Houma, LA 70360 ➡ MA (1) QUIRK QUIRK KIA MARSH 955 Plain St Marshfield, MA 02050 ➡ MD (2) DEFENSEHWYEXXON DEFHWYEX711STN2 161 Defense Highway Annapolis, MD 21401 (3) BGE - St Frances Academy 501 E Chase St Baltimore, MD 21202 (1) BGE - Northeast Market 2126 McElderry St Baltimore, MD 21205 (2) POTOMAC EDISON MAX KEHNE DC2 1108 W 7th St Frederick, MD 21701 (1) Pepco - Gaithersburg FSO Prk Lot 15 Metropolitan Grove Rd Gaithersburg, MD 20878 ➡ MI (2) MSU CATA #1 1240 S Harrison Rd East Lansing, MI 48823 (4) Lasco Ford 2525 Owen Rd Fenton, MI 48430 (2) Vic Canever Chevrolet Inc 3000 Owen Rd Fenton, MI 48430 (1) FELDMAN HYUNDAI FRONT 30492 Lyon Center Dr Lyon Charter Township, MI 48165 (1) DICK HUVAERE'S LEVEL3 67567 Main St Richmond, MI 48062 (1) SUBURBAN HYUNDA CUSTOMER LVL 3 1814 Maplelawn Rd Troy, MI 48084 ➡ MN (1) WUERFLEIN CHEVROLET BUICK GMC 2527 BRIDGE AVE ALBERT LEA, MN 56007 (1) 3rd St NE Parking Lot 17 3rd St NE Faribault, MN 55021 (1) Driskill's Downtown Market 25 11th Ave N Hopkins, MN 55343 (1) Apple Chevrolet 1600 Cannon Ln. Northfield, MN 55057 (1) Dahl Motors LLC 950 7TH ST SE PIPESTONE, MN 56164 (1) Wright-Hennepin Cooperative Electric Association 6800 Electric Dr Rockford, MN 55373 (1) Sunshine Foods 501 N Park Dr Spring Valley, MN 55975 (1) Kwik Trip Stewartville 101 Schumann Dr NW Stewartville, MN 55976 (1) Doc's Sports Bar & Grill 34427 Majestic Pine Dr Sturgeon Lake, MN 55783 ➡ MO (1) Nextran GMC 3900 NE Great Midwest Dr KANSAS CITY, MO 64161 (1) MINI PUBLIC DETAIL 24KW 40 Sunnen Drive Maplewood, MO 63143 (1) Baldwin Chevrolet Cadillac 621 S. WESTWOOD BLVD. POPLAR BLUFF, MO 63901 (1) Baldwin Buick GMC 512 Westwood Blvd Poplar Bluff, MO 63901 ➡ MS (1) Oakes Auto Group 1009 HWY 82 E Greenville, MS 38701 (2) Dossett GMC Cadillac 1058 West Pine Street Hattiesburg, MS 39401 ➡ MT (1) Missoula Chevrolet 3663 N Reserve St Missoula, MT 59808 ➡ NC (2) Refuel 155 520 E Main St Biscoe, NC 27209 (2) Archdale Marketplace 5925 South Blvd Charlotte, NC 28217 (1) Cadillac Of Fayetteville 1637 SKIBO RD FAYETTEVILLE, NC 28303 (1) Scenic Chevrolet Buick GMC Cad 2300 ROCKFORD ST MOUNT AIRY, NC 27030 (1) GOV ANNEX COUNTYOFANSON 575 US-52 Wadesboro, NC 28170 ➡ NJ (1) Cranbury Buick GMC 2730 ROUTE 130 NORTH CRANBURY, NJ 08512 (2) AAF HACK RIGHT 520 River Street Hackensack, NJ 07601 ➡ NM (2) LAS VEGAS DCFAST4 28 Bibb Industrial Dr Las Vegas, NM 87701 ➡ NY (2) Mangino Chevrolet 4447 NY-30 Amsterdam, NY 12010 (2) COMPETITION BMW DCWB 4 599 Middle Country Rd Saint James, NY 11780 (2) COMPETITION BMW DCWB 3 601 Middle Country Rd Saint James, NY 11780 ➡ OH (1) COLUMBIA DC LOT EV 1 10981 Montgomery Rd Cincinnati, OH 45249 (1) Cole Valley Cadillac 4111 Elm Rd NE Warren, OH 44483 ➡ OK (1) FTN LEVEL 3 DC FAST CHARGER 4050 N Interstate Dr Norman, OK 73072 (1) FTN LEVEL 3 ABBSHOPSTATION 4050 North Interstate Drive Norman, OK 73072 (1) Jim Glover Chevrolet 707 W 51st St Tulsa, OK 74107 (1) NEXT 19.2 KW CHARGER 13 2322 N Mingo Rd Tulsa, OK 74116 ➡ OR (6) WinCo Foods - Clackamas Square #9 11250 SE 82nd Ave Happy Valley, OR 97086 ➡ PA (1) C.HARPER KIA ABB STATION 1 100 Harper Drive Belle Vernon, PA 15012 (2) James E. Black Cadillac 3929 Admiral Peary Highway EBENSBURG, PA 15931 (6) 93 Sharon Rd 93 Sharon Rd Greenville, PA 16125 (2) Team Chevrolet GMC 9546 WILLIAM PENN HWY HUNTINGDON, PA 16652 (1) COCHRANAUTO MVDC BANK E 4515 William Penn Hwy Monroeville, PA 15146 (5) COCHRANAUTO MVDC BANK A 4520 William Penn Hwy Monroeville, PA 15146 (2) DC CORRIDOR PHILLY PL1 4000 Monument Road Philadelphia, PA 19131 (2) COCHRANAUTO RBN DC B 5200 Campbells Run Rd Pittsburgh, PA 15205 (2) COCHRANAUTO DMTBANK DC B 2770 W Liberty Ave Pittsburgh, PA 15216 ➡ SC (2) STIVERS H&G PARKING1 9950 Farrow Rd Columbia, SC 29203 (1) Lancaster Motor Company 1616 Charlotte Hwy Lancaster, SC 29720 ➡ TN (4) BEA STATION 1 (LL) 121 Sunny Hill Cove Brownsville, TN 38012 ➡ TX (1) Toliver Brothers, LLP 1301 HUTCHINGS AVE BALLINGER, TX 76821 (6) US-YHW-UU2-1C 947 West St. Mary's Street Centerville, TX 75833 (2) GM - RANDALL MOTORS 801 W Avenue N San Angelo, TX 76903 (6) US-72P-LAH-2C 15908 La Cantera Pky. San Antonio, TX 78256 ➡ VA (4) Sheetz Herndon #726 13850 McLearen Rd Herndon, VA 20171 (2) Haley Chevrolet Midlothian 12400 Tennessee Plz Midlothian, VA 23112 ➡ WA (2) DC BURLINGTON DC1 1920 Marketplace Dr Burlington, WA 98233 (1) Waterfront 56 Seneca St Seattle, WA 98101 (2) VOLVO CAR USA YAKIMA DC1 1312 S 1st St Yakima, WA 98901 ➡ WI (2) Sheboygan Cadillac 3400 S Business Dr Sheboygan, WI 53081 (1) The Prime Bar 7294 Service Rd Trego, WI 54888 ➡ WV (2) STRAUB HYUNDAI HYUNDAI L3 INV 80 Straub Dr Triadelphia, WV 26059 ➡ WY (2) Maybell Avenue Parking Lot 31 N Maybell Ave Pinedale, WY 82941
2023.09.02 17:36 hb257 100,000 drug overdose deaths and Mexico/Latin America Drug Cartels – Open Letter to Taylor Swift to Cancel the Eras Tour Leg in Mexico, Latin America.
The Centers of Disease Control (CDC) estimates that 109,680 drug overdose deaths occurred in America in 2022 (1). The CDC estimates that 107,573 drug overdose deaths occurred in America in 2021 (2). The CDC estimates that 92,478 drug overdose deaths occurred in America in 2020 (2). In 2015, the Center for Disease Control posits there were 52,404 drug overdose deaths, of which 12,989 were heroin overdose deaths, and 6,784 were cocaine overdose deaths (3). In calendar year 2008, there were 1,138,247 substance abuse treatment users, for which expenditures on Medicaid totaled $3,366,952,000 (4). In 2013, the treatment episode data set reveals the number of admissions to publicly licensed treatment facilities was 102,387 admissions for cocaine, 316,797 admissions for heroin, 281,991 admissions for marijuana, 130,033 admissions for methamphetamine, and 154,778 admissions for non heroin opiates/synthetics (5). The total number of people receiving substance abuse treatment in the USA increased from 1,081,049 in 2005 to 1,305,647 in 2015. From July 2016 through September 2017, the CDC reports a total of 142,557 Emergency Department visits (15.7 per 10,000 visits) from 52 jurisdictions in 45 states were suspected opioid-involved overdoses (6).
“In 2019, 2.1 million people aged 12 or older received substance use treatment at a self-help group, 1.7 million received treatment at a rehabilitation facility as an outpatient, 1.3 million received treatment at a mental health center as an outpatient, 1.0 million received treatment at a rehabilitation facility as an inpatient, and 948,000 received treatment at a private doctor's office. Smaller numbers of people received treatment at a hospital as an inpatient, in an emergency room, or in a prison or jail (Figure 66 and 2019 DT 7.55). The number of people who received substance use treatment at a private doctor's office increased from 686,000 people in 2015 to 948,000 people in 2019.” (7).
Beyond a few countries and regions, most notably North America, the European Union, United Kingdom, Australia and New Zealand, reliable data on fatal and non-fatal overdose do not exist or are at best questionable (8). That said, the United Nation’s World Drug Report executive summary stated, “The Global Burden of Disease Study 2017 estimated that, globally, in 2017, there were 585,000 deaths and 42 million years of “healthy” life lost as a result of the use of drugs.” (9).
Since 1999, more than 1 million lives have died because of drug overdose in USA (10). That is more than deaths than the civil war, American revolution, or any American war.
In an April 1999 report to Congress, the Department of Health and Human Services revealed, “for many children who are reported to the child welfare system, parental substance abuse is a critical factor. While figures vary for methodological reasons, most studies find that for between one-third and two-thirds of children involved with the child welfare system, parental substance abuse is a contributing problem (lower figures tend to involve child abuse reports and higher findings most often refer to children in foster care).” (11). The Health and Human Services’ (HHS) office of Administration for Children & Families posits that “drug abuse parent” was a reason for 85,937 children entering foster care (32%) of 269,509 children entering foster care in 2015 (12). The Health and Human Services’ (HHS) office of Administration for Children & Families posits that “drug abuse parent” was a reason for 92,107 children entering foster care (34%) of 273,539 children entering foster care in 2016 (13). Accordingly, the Health and Human Services’ (HHS) office of Administration for Children & Families posits that of the 35 States reporting (excluding California and New York) there were 361,985 children victims (of maltreatment, neglect, or abuse) with drug abuse caregiver risk factor in 2016 (14). The Health and Human Services’ (HHS) office of Administration for Children & Families current law budget authority was $34,295,000,000 in 2016, of which 7,755,000,000 was allocated to foster care and permanency (15).
Who is to blame for the drug overdose deaths (primarily from fentanyl, cocaine, heroin, etc)?
Government Accountability Office states Belize, Bolivia, Bahamas, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Jamaica, Nicaragua, Mexico, Panama, Peru, Turks & Caicos, and Venezuela are major illicit drug producing and/ or drug transit countries that lead to drugs entering the USA (16). The major drug producers are Mexico, Colombia, Peru, and Bolivia (16).
Wikipedia states, “Fentanyl was first synthesized by Paul Janssen in 1959 and was approved for medical use in the United States in 1968.” (17). Amongst a number of medical uses, Fentanyl is used for anesthesia (17). On May 1, 2019, the Chinese government banned fentanyl production in China. China’s US embassy states “International practices require the importing company and country to ensure that imported goods are not used for illegal purposes, not the exporter” (18). China’s Mexico embassy stated, “The responsibility to prevent the non-scheduled chemicals illicit use in drug-making falls on the import country.” China’s government argues that it can’t stop the export of precursors that aren’t themselves illegal. China’s Mexico embassy stated, “The fundamental solution is to reduce domestic demand and supply.” (19).
Stop blaming China. Blame the supply- Mexico, Mexico’s Drug Cartels, Latin America, Latin America’s Cartels.
Fentanyl production largely shifted from China to Mexico as Beijing cracked down on shipments of the drug and some precursor chemicals starting in 2018. Most illegal fentanyl is pressed by Mexican cartels into counterfeit pills made to look like other medications like Xanax, oxycodone or Percocet, or mixed into other drugs, including heroin and cocaine. Many individuals who die of drug overdoses in the United States do not know they are taking fentanyl. (20).
In the 2014 UCLA dissertation, “Mexican Drug Cartel Influence in Government, Society, and Culture” Jacob JiHyong Kim states, “After years of growth, drug cartels have become powerful enough to be a principal player in world markets. By the time the North American Free Trade Agreement (NAFTA) was in place under President Carlos Salinas’ administration, drug money had become an integral part of Mexican economy. Mexican public figures did not mention this fact because it would have been tantamount to government complicity in an illicit enterprise. But it was clearly the truth. Nearly 70 percent of South American cocaine funneled through Mexico by the 1990s. Mexico produced 80 percent of marijuana and 30 percent of the heroin imported into the United States. All of this equated to over $7 billion in annual earnings for Mexico and billions in revenues for drug traffickers (Andreas, 1998, p. 160)”.(21) Jacob JiHyong Kim states, “Considering the number of people employed and the amount of money generated, a collapse of the drug trade could be equivalent to a financial collapse of Mexico.” (Officials estimate that the drug trade makes up almost 4 percent of Mexico’s $1.2 trillion annual GDP (Lee, 2014).). (21). Jacob JiHyong Kim states, “Aftershocks would be felt in worldwide stock markets. The illicit drug trade is worth an estimated $400 billion per annum, and nearly $200 billion of that is successfully laundered across the world each year (Lilley, 2003, p. 3). Experts suspect that billions of dollars of drug cartel money are invested in legitimate enterprises and investments such as stocks. Once the dirty money is “cleaned,” they are re-invested in illicit drug activities for further profits.” (21). Jacob JiHyong Kim states, “It is not surprising then, that high level Mexican officials throughout history conspired to increase drug production. In public appearances, their rhetoric has claimed a desire to end the scourge of drug influence. But officials who understood the importance of the drug trade to economy turned a blind eye towards cartel activity and indulged in corruption.” Jacob JiHyong Kim states, “Despite high profile captures of cartel leaders and the destruction of illicit crops, “the reality is that the drug trade has not only survived but has thrived in the face of intensified Mexican drug control efforts” (Andreas, 1998, p. 161). Drug traffickers could not have prospered unless they operated with the blessing of the state.” (21). I strongly recommend reading Kim’s dissertation, however I oppose legalizing marijuana/narcotics.
In the 2018 white paper, “U.S.-Mexico Security Cooperation 2018-2024” Vanda Felbab-Brown states, “In the last decade, close to 250,000 people have been murdered in Mexico, more than the number of civilians killed in Iraq since the 2003 U.S. invasion. 1 In 2018 alone, 33,341 people were murdered in Mexico, a 33 percent increase from 2017, which had also been a record-breaking year of violence. Homicide levels have risen steadily over the past three years in Mexico, yet a stunning 95 percent of homicides do not result in effective prosecutions of culprits.2 Impunity reigns in Mexico. The deterioration of public safety in Mexico extends far beyond homicides. 40,180 people have disappeared in Mexico largely since 2006.3 According to the National Survey of Victimization and Perception of Public Security (Encuesta Nacional de Victimización y Percepción sobre Seguridad Pública) 4 produced by the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), more than 25 million Mexicans were victims of some type of crime in 2017.4” (22)
Today, people continue to disappear in considerable numbers in Latin America as a result of different situations of violence. In Mexico, more than 40,000 people were reported missing between 2006 and 2019, and in Brazil, more than 80,000 cases were reported in 2017. (23).
In a 2012 report, Edgardo Buscaglia, a professor at Mexico’s ITAM university who has also served as an advisor to the World Bank and the UN, says that 71.5 percent of the nation’s municipalities are under criminal control. (24).
In a 2022 updated Congressional research service report, “Mexico: Organized crime and drug trafficking organizations (CRS Report No. R41576)" June Beittel states, “In 2020, DEA estimated the Sinaloa Cartel, active in 15 of 32 Mexican states, remained the Mexican crime organization with the largest international footprint.127 Sinaloa leaders successfully corrupted public officials from the local to the national level inside Mexico.128 The cartel’s operations spanned more than 50 countries, according to several analysts and journalists.129.” (25).
June Beittel states, “Some U.S. policymakers have expressed concerns about the extent of territory in Mexico not under central government control. In such places, criminal groups and their fragments attempt to seek dominance and secure impunity from government authorities.91” (25).
June Beittel states, “Organized crime groups have splintered and diversified their criminal activities, turning to extortion, kidnapping, oil theft, human smuggling, sex trafficking, retail drug sales, and other illicit enterprises.” (25). June Beittel states, “Judicial and policing deficiencies have allowed about a 95% impunity level for the resolution of crimes, on average. For decades, roughly 90% of crimes in Mexico have gone unreported, while only 4%-6% of those reported crimes reach conclusion or case closure. México Evalúa, Hallazgos 2020. Evaluación del Sistema de Justicia Penal en México, 8 th ed., October 5, 2021; Juan Antonio Le Clercq, “Mexico: Measuring Impunity Through the 2020 Global Impunity Index,” Global Americans, January 11, 2021; Animal Político, “To Murder in Mexico: Impunity Guaranteed,” September 30, 2018” (25).
June Beittel states, “The large number of disappeared and missing persons, and the estimated 90% of crimes in Mexico that go unreported, suggest deaths attributed to organized crime in Mexico may be far higher than officially reported.42 Homicide victim tallies do not include thousands who have been reported missing or disappeared or those found in unmarked graves. The cumulative total of Mexico’s disappeared and missing reportedly exceeds 100,000 in 2022, with 90% of disappearances reported to have taken place since 2007, according to the Mexican government.43 Some analysts maintain that enforced disappearances are a preferred cartel tactic to maintain political control.44” (25).
June Beittel states, “According to the U.S. State Department’s 2022 International Narcotics Control Strategy Report (INCSR), Mexico is a significant source and transit country for heroin, marijuana, and synthetic drugs (such as methamphetamine and fentanyl) destined for the United States. Mexico remains the main trafficking route for U.S.-bound cocaine from the major supply countries of Colombia and, to a lesser extent, Peru and Bolivia.94 DEA, in its National Drug Threat Assessment (NDTA) published in March 2021, maintains that traffickers and retail sellers of fentanyl and heroin combine the drugs in various ways, such as pressing them into highly addictive and extremely powerful counterfeit pills (appearing to be OxyContin or other prescription and over-the-counter drugs). 95 The DEA has said that fentanyl provided by Mexican traffickers to certain U.S. drug markets may supplant “white powder” heroin. Still, 97% of heroin traced from U.S. seizures is sourced from Mexico, according to the 2022 INCSR. Furthermore, the State Department report maintains that addiction rates inside Mexico are rising, including the abuse of synthetic drugs.” (25).
June Beittel states, “Heroin and Synthetically Produced Opioids. In its 2020 National Drug Threat Assessment, DEA warned that Mexico’s crime organizations, aided by corruption and impunity, present an acute threat to U.S. communities given their dominance in heroin and fentanyl exports. Mexico’s heroin traffickers, which traditionally provided black or brown heroin to the western part of the United States, began to change their opium processing methods in 2012 and 2013 to produce white powder heroin, a purer and more potent product. The DEA maintains that no other crime groups, foreign or domestic, have a reach comparable to that of Mexican TCOs to distribute white powder heroin and fentanyl within the United States. With Mexico being the leading source of fentanyl and fentanyl-laced counterfeit pills to the U.S. market, DEA warns that Mexican TCOs have established clandestine laboratories “for the synthesis of fentanyl.” 100” (25).
June Beittel states, “The State Department maintains that Mexico has not succeeded in sufficiently reducing the flow of dangerous drugs across the border. It cites Mexico’s failure to deter TCOs or successfully prosecute them in court and the slowing of Mexico’s responses to U.S. extradition requests for defendants on drug-related charges.101” (25).
Can prohibitionist win the war on drugs?
In stark contrast to Mexican, Colombian, Dominican, and Cuban trafficking organizations that bring drugs into the USA, the Taliban eradicated 99 percent (or all) of the opium (illicit drugs) production in Afghanistan prior to September 11, 2001 (and US Invasion of Afghanistan) (26). In 2023, after the return of the Taliban in the Afghanistan government, the BBC reports "The Taliban leaders appear to have been more successful cracking down on cultivation than anyone ever has. We found a huge fall in poppy growth in major opium-growing provinces, with one expert saying annual cultivation could be 80% down on last year. Less-profitable wheat crops have supplanted poppies in fields." "It is likely that cultivation will be less than 20% of what it was in 2022," said Afghanistan drug trade expert David Mansfield. "The scale of the reduction will be unprecedented. The high resolution imagery of Helmand province shows that poppy cultivation is down to less than 1,000 hectares when it was 129,000 hectares the previous year," said Mansfield, noting that would be a 99 percent reduction in the crop in that formerly key opium-producing province.” (27).
The Taliban, Afghanistan government has set a precedent for all countries in the world to emulate. Yes, prohibitionist can win the war on drugs.
More people died of Heroin in USA in 2016 than the entire number of US solider deaths in the war in Iraq and war in Afghanistan combined. These wars cost trillions of dollars, which should have been used to fight the war on drugs in USA (28). More importantly, after September 11, 2001, after the collapse of World Trade Center Buildings 1, 2, and 7 caused the deaths of an estimated 2,996 lives, the US (and the world) declared a War on Terrorism in Asia/Middle East/Africa (29). Afghanistan, Iraq, Syria, Libya have been destroyed by the US military. However, more lives in America have perished from drug poisoning caused by Mexican/Latin America Drug Cartels than the events that occurred on September 11, 2001. Moreover, the US, UK, Europe, and the world have placed the harshest sanctions on Iran for developing nuclear technology (that Iran claims is to be used for peaceful purpose of energy development) that the US argues is to be used to create weapons of mass destruction (30). Wikipedia States, “The United States has imposed an arms ban and an almost total economic embargo on Iran, which includes sanctions on companies doing business with Iran, a ban on all Iranian-origin imports, sanctions on Iranian financial institutions, and an almost total ban on selling aircraft or repair parts to Iranian aviation companies.” (30). How many American Citizens have been killed by Iran on US soil (in the continental US [50 States])? Zero. The real terrorists are not in the caves in the Afghanistan nor in the middle east. The real terrorist are the cartels who bring fentanyl, cocaine, heroin, methamphetamines, marijuana (and other narcotics) into the country (USA, UK, etc.), which causes addiction and drug poisoning deaths. The real weapons of mass destruction are fentanyl (and cocaine, heroin, marijuana, and other narcotics). The US, UK, Europe, Asia, Africa, United Nations, and the world must place the same sanctions on Mexico and Latin America as those that have been placed on Iran. The harshest Sanctions and Embargo on Mexico and Latin America must persist until Mexico and Latin America requires the death penalty for narcotics the way China requires the death penalty, and until Mexico and Latin America can emulate the Taliban’s success in eradicating narcotics in their region. Do not promote Mexico and Latin America.
What do policymakers and candidates have to say?
After the 2020 election, the Office of the President issued Executive Order 14059 of December 15, 2021, “Imposing Sanctions on Foreign Persons Involved in the Global Illicit Drug Trade.” (31). The Office of the President stated “that the trafficking into the United States of illicit drugs, including fentanyl and other synthetic opioids, is causing the deaths of tens of thousands of Americans annually, as well as countless more non-fatal overdoses with their own tragic human toll. Drug cartels, transnational criminal organizations, and their facilitators are the primary sources of illicit drugs and precursor chemicals that fuel the current opioid epidemic, as well as drug-related violence that harms our communities. I find that international drug trafficking—including the illicit production, global sale, and widespread distribution of illegal drugs; the rise of extremely potent drugs such as fentanyl and other synthetic opioids; as well as the growing role of Internet-based drug sales—constitutes an unusual and extraordinary threat to the national security, foreign policy, and economy of the United States.” (31).
Don Beyer states, “In addition to the toll on families and loved ones, opioid use imposes significant economy-wide costs. Adapting a methodology used by the CDC to estimate the cost of the opioid epidemic in 2017, the JEC estimates the opioid epidemic cost $1.04 trillion in 2018, $985 billion in 2019 and nearly $1.5 trillion in 2020.” (32).
Senators Joni Ernst (R-IA) and Tim Kaine (D-VA) made the following joint statement, “Fentanyl is a leading cause of death for Americans aged 18-45, and an estimated 196 Americans are dying every single day due to fentanyl, which is about the equivalent of the death total on 9/11 every 15 days. 90% of fentanyl flows through our Southern border. U.S.-Mexican cooperation on drug trafficking has faced significant challenges since Andrés Manuel López Obrador became president in 2018. Between Fiscal Year 2017 and 2021, fentanyl trafficking offenses increased 950%.” (33) Senator Tim Kaine stated, “Families across Virginia have lost mothers, fathers, children, siblings, and other loved ones to the substance use epidemic. And they’re not alone—every family in America has been impacted in one way or another by this crisis.” (33)
“Fentanyl is a deadly drug that is killing people and breaking up families in Nevada and across our nation,” said Jacky Rosen. (34)
Senator Tim Scott stated, ““Fentanyl takes the lives of far too many young Americans, stripping a whole generation of the opportunity to contribute to their communities and achieve their dreams.” (35). In an interview with Tucker Carlson, Tim Scott, stated, “Over 100,000 Americans have lost their lives overdoses in the last 12 months. 70,000 Americans have lost their lives because of fentanyl. We could stop fentanyl from crossing over our southern border by closing out southern border, building a wall under – This nation spent $7 trillion. It would take $10 billion to finish the wall and for an additional $5 billion, we could use the available technology to servile our southern border and our ports of entry to slow down fentanyl from coming into our country.” (36).
I support Senator Tim Scott’s “‘Alan Shao Jr. Fentanyl Public Health Emergency and Overdose Prevention Act.’’ (37)
I support Randy Feenstra’s Build the Wall and Fight Fentanyl Act. (38).
Governor Abbott issued an Executive Order No. GA-42 relating to designation of Mexican drug cartels as foreign terrorist organizations. (39).
I support designating Mexican drug cartels as foreign terrorist organizations under Section 219 of the INA, 8 U.S.C. § 1189- as suggested by Governor Abbot in a letter to the Office of the President (40). Similarly, the attorney generals of Virginia, Alabama, Alaska, Arkansas, Florida, Georgia, Indiana, Iowa, Kentucky, Louisiana, Missouri, Montana, Nebraska, New Hampshire, Ohio, Oklahoma, South Carolina, Tennessee, Texas, Utah, West Virginia made a statement requesting that the Sinaloa Cartel, CJNG, and other similarly situated Mexican drug cartels be designated as Foreign Terrorist Organizations pursuant to 8 U.S.C. § 1189. (41). They wrote to the office of the president that “Mexican drug cartels have diversified their operations beyond mere narcotics trafficking to include seemingly legitimate enterprises like the avocado trade, gasoline pipelines, gold mines, and even supermarkets.” (41).
I support Senator Tom Cotton’s declaration of war on drug cartels and a number of strategies delineated in Cotton’s op-ed on September 22, 2022. (42). Cotton states, “This is far from just a Mexican problem. The Mexican drug cartels have killed more Americans than any terrorist group in history—and the death toll is rising every day. In the last three years alone, a quarter of a million Americans have lost their lives in the deadliest drug crisis in history. More Americans die each year from drugs than were killed in the entire Vietnam War. The cartels are directly responsible for these deaths. Fentanyl, fentanyl analogues, meth, and heroin are all primarily produced and smuggled by the Mexican cartels and account for the overwhelming majority of drug-overdose deaths. Cocaine, the fourth-deadliest drug brought into the United States, is also primarily smuggled by the cartels.” Cotton states, “Each drug death and severe case of addiction is like a bomb going off in a community. Families are shattered, children are orphaned, promising young Americans are psychologically destroyed, and neighborhoods physically deteriorate. It’s little surprise that some parts of this country look and feel like warzones.” (42)
Cotton states, “To distribute their poison, the cartels have established broad criminal networks within our country. In some cases, they partner with the thousands of preexisting American street, prison, and motorcycle gangs, but in other cases they send violent Latin American gang members to do their bidding. In 2020, ICE deported over 4,000 illegal-alien gang members; the Border Patrol stopped hundreds more from entering.” (42).
Senator Lindsey Graham in a press release titled ““We Are Going To Unleash The Fury And Might Of The U.S. Against These Drug Cartels” stated “More people died in the United States from fentanyl poisoning than car wrecks and gun violence combined.” Lindsey Graham stated, “To the President of Mexico, fentanyl is a weapon of mass destruction being unleashed on America from your country. It’s coming from your country. You’re allowing safe havens for these groups to operate with impunity. Because what you’re doing is not working. Your country is being used by narcoterrorists to poison America.” (43).
Dan Crenshaw and Mike Waltz introduced legislation creating the Authorization for Use of Military Force (AUMF) to target Mexican drug cartels. (44)
“The cartels are war with us – poisoning more than 80,000 Americans with fentanyl every year, creating a crisis at our border, and turning Mexico into a failed narco-state,” Crenshaw said. “It’s time we directly target them. My legislation will put us at war with the cartels by authorizing the use of military force against the cartels. We cannot allow heavily armed and deadly cartels to destabilize Mexico and import people and drugs into the United States.” (44).
The Authorization for Use of Military Force (AUMF) allows the President to use military force against cartels based on their fentanyl trafficking, production, and distribution; their use of force against US law enforcement and/or military, law enforcement and/or military of a neighboring country, and/or to gain control of territory to use for their criminal enterprise.
I support Crenshaw’s H.J.Res.18 - AUMF CARTEL Influence Resolution. (45).
I support H.R.1564 - Drug Cartel Terrorist Designation Act and S.698 - Drug Cartel Terrorist Designation Act. (46) (47).
I stand in solidarity and strongly support Dan Crenshaw’s H.R.713 - Declaring War on the Cartels Act of 2023. (48). Specifically, I unequivocally support the proposed legislation’s Sec. 207. Sanctions on Foreign Governments Found to Facilitate Transnational Criminal Cartels. The Sanctions would be applied to any foreign government found to facilitate a designated transnational criminal cartels by providing material support or resources, as defined in section 2339A(b)(1) of title 18, United States Code; permit, or fail to take adequate measures to prevent, transnational criminal cartel activity within their territory. In addition the legislation would support the President to terminate assistance provided for under the Foreign Assistance Act of 1961 (Public Law 87–195) for foreign governments found to facilitate criminal cartels. (48).
Senator John Kennedy stated, ““We need to dismantle and disincentivize Mexico’s cartels in every way possible. Designating these murderers as foreign terrorist organizations would give U.S. officials more tools to use in putting the cartels and the networks that support them behind bars.” Kennedy explained, “Despite what the President of Mexico says, drug cartels are in control of large parts of Mexico. They are making billions of dollars sending fentanyl and illicit drugs into the United States where it is killing our citizens by the thousands. Designating these cartels as Foreign Terrorist Organizations will be a game-changer.” (49)
If elected President, Governor DeSantis will authorize appropriate rules of engagement at the border so that those trying to smuggle drugs into the United States are met with the use of force. Desantis stated that “Right now, cartel operatives cut through portions of the border wall with impunity and poison our communities with dangerous drugs.” (50). In an interview with Tucker Carlson, DeSantis reiterated using force to stop drugs from entering USA. (51). In a survey response to Breitbart, DeSantis campaign stated, “Ron DeSantis will declare a national emergency on day one, mobilize all military resources, declare the cartels to be narco-terrorists, and change the rules of engagement on the border. The full force of the federal government will be utilized to ensure that illegal drug flow is stopped, and he will bring to bear every tool he has to this end. He will utilize a variety of leverage points to ensure Mexico works with us to stop the flow of narcotics and human trafficking.” (52).
Vivek Ramaswamy, stated, “Use our military to annihilate Mexican drug cartels.” (53),
In a survey response to Breitbart, Nimarata Nikki Haley (née Randhawa) stated, “I’ll tell Mexico’s president that he either needs to crack down on the cartels, or we will. We’ll send in our special forces and treat the cartels like the terrorists they are. . . . .Mexico . . . won’t keep poisoning our citizens with fentanyl without consequences. I’ll also restart Remain in Mexico and close our southern border once and for all to stop the flow of illegal immigrants.” (52),
Donald Trump stated he would “Deploy all necessary military assets, including the U.S. Navy, to impose a full naval embargo on the cartels, to ensure they cannot use our region’s waters to traffic illicit drugs to the U.S.” Trump stated he would designate the major drug cartels as foreign terrorist organizations. Trump stated he would “Cut off the cartels’ access to the global financial system.” (54), Donald Trump stated he would, “Impose a full naval embargo on the drug cartels and deploy military assets to inflict maximum damage on cartel operations.” Trump stated he would “ask Congress to ensure that drug dealers and human traffickers receive the death penalty.” Trump stated he will Direct U.S. federal law enforcement to take down the gangs and organized street crime that distribute these deadly narcotics on a local level. (55).
There are benefits of a building a wall across the southern USA border with Mexico. First and foremost, stop drugs from entering USA, which will reduce the supply of illicit drugs in USA. Perhaps, this will reduce addiction initiation, reduce drug crimes, reduce foster care children caused by substance abuse, reduce deaths, reduce court costs because reduce crime (drug courts for addicted), reduce incarceration cost (this can reform the justice system), reduce money laundering used for other illicit activities, undercut funding for gangs. potentially increase productivity of people (because reduced addiction to drugs), and reduce treatment cost in the long term (expect short term increase in treatment due to users who are addicted to drugs). The Wall will allow different agencies to spend more money on targeted efforts to combat war on drugs. Reduction of routes for drugs to enter USA will enhance eradication of drug production (drug farming).
100,000 drug overdose deaths and Mexico/Latin America Drug Cartels – Open Letter to Taylor Swift to Cancel the Eras Tour Leg in Mexico, Latin America.
Dear Taylor Swift,
Because of the heartbreaking number of drug overdose deaths and addiction in USA (and the world) caused by Mexico, Mexican drug cartels, Latin America, Latin America cartels, I urge you to cancel the Eras Tour Leg in Mexico Latin America.
If one fan dies from a drug overdose, or becomes addicted to narcotics, or is kidnapped, or murdered, then there is a negative return on investment (ROI).
I am concerned you will see a negative return on investment.
In addition, the US Government has issued a travel advisory cautioning Americans to not travel to Mexico. The advisory concludes, “Violent crime—such as homicide, kidnapping, carjacking, and robbery—is widespread and common in Mexico.” (56).
Respectfully, hb257
submitted by hb257 to PoliticalOpinions [link] [comments]
“In 2019, 2.1 million people aged 12 or older received substance use treatment at a self-help group, 1.7 million received treatment at a rehabilitation facility as an outpatient, 1.3 million received treatment at a mental health center as an outpatient, 1.0 million received treatment at a rehabilitation facility as an inpatient, and 948,000 received treatment at a private doctor's office. Smaller numbers of people received treatment at a hospital as an inpatient, in an emergency room, or in a prison or jail (Figure 66 and 2019 DT 7.55). The number of people who received substance use treatment at a private doctor's office increased from 686,000 people in 2015 to 948,000 people in 2019.” (7).
Beyond a few countries and regions, most notably North America, the European Union, United Kingdom, Australia and New Zealand, reliable data on fatal and non-fatal overdose do not exist or are at best questionable (8). That said, the United Nation’s World Drug Report executive summary stated, “The Global Burden of Disease Study 2017 estimated that, globally, in 2017, there were 585,000 deaths and 42 million years of “healthy” life lost as a result of the use of drugs.” (9).
Since 1999, more than 1 million lives have died because of drug overdose in USA (10). That is more than deaths than the civil war, American revolution, or any American war.
In an April 1999 report to Congress, the Department of Health and Human Services revealed, “for many children who are reported to the child welfare system, parental substance abuse is a critical factor. While figures vary for methodological reasons, most studies find that for between one-third and two-thirds of children involved with the child welfare system, parental substance abuse is a contributing problem (lower figures tend to involve child abuse reports and higher findings most often refer to children in foster care).” (11). The Health and Human Services’ (HHS) office of Administration for Children & Families posits that “drug abuse parent” was a reason for 85,937 children entering foster care (32%) of 269,509 children entering foster care in 2015 (12). The Health and Human Services’ (HHS) office of Administration for Children & Families posits that “drug abuse parent” was a reason for 92,107 children entering foster care (34%) of 273,539 children entering foster care in 2016 (13). Accordingly, the Health and Human Services’ (HHS) office of Administration for Children & Families posits that of the 35 States reporting (excluding California and New York) there were 361,985 children victims (of maltreatment, neglect, or abuse) with drug abuse caregiver risk factor in 2016 (14). The Health and Human Services’ (HHS) office of Administration for Children & Families current law budget authority was $34,295,000,000 in 2016, of which 7,755,000,000 was allocated to foster care and permanency (15).
Who is to blame for the drug overdose deaths (primarily from fentanyl, cocaine, heroin, etc)?
Government Accountability Office states Belize, Bolivia, Bahamas, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Jamaica, Nicaragua, Mexico, Panama, Peru, Turks & Caicos, and Venezuela are major illicit drug producing and/ or drug transit countries that lead to drugs entering the USA (16). The major drug producers are Mexico, Colombia, Peru, and Bolivia (16).
Wikipedia states, “Fentanyl was first synthesized by Paul Janssen in 1959 and was approved for medical use in the United States in 1968.” (17). Amongst a number of medical uses, Fentanyl is used for anesthesia (17). On May 1, 2019, the Chinese government banned fentanyl production in China. China’s US embassy states “International practices require the importing company and country to ensure that imported goods are not used for illegal purposes, not the exporter” (18). China’s Mexico embassy stated, “The responsibility to prevent the non-scheduled chemicals illicit use in drug-making falls on the import country.” China’s government argues that it can’t stop the export of precursors that aren’t themselves illegal. China’s Mexico embassy stated, “The fundamental solution is to reduce domestic demand and supply.” (19).
Stop blaming China. Blame the supply- Mexico, Mexico’s Drug Cartels, Latin America, Latin America’s Cartels.
Fentanyl production largely shifted from China to Mexico as Beijing cracked down on shipments of the drug and some precursor chemicals starting in 2018. Most illegal fentanyl is pressed by Mexican cartels into counterfeit pills made to look like other medications like Xanax, oxycodone or Percocet, or mixed into other drugs, including heroin and cocaine. Many individuals who die of drug overdoses in the United States do not know they are taking fentanyl. (20).
In the 2014 UCLA dissertation, “Mexican Drug Cartel Influence in Government, Society, and Culture” Jacob JiHyong Kim states, “After years of growth, drug cartels have become powerful enough to be a principal player in world markets. By the time the North American Free Trade Agreement (NAFTA) was in place under President Carlos Salinas’ administration, drug money had become an integral part of Mexican economy. Mexican public figures did not mention this fact because it would have been tantamount to government complicity in an illicit enterprise. But it was clearly the truth. Nearly 70 percent of South American cocaine funneled through Mexico by the 1990s. Mexico produced 80 percent of marijuana and 30 percent of the heroin imported into the United States. All of this equated to over $7 billion in annual earnings for Mexico and billions in revenues for drug traffickers (Andreas, 1998, p. 160)”.(21) Jacob JiHyong Kim states, “Considering the number of people employed and the amount of money generated, a collapse of the drug trade could be equivalent to a financial collapse of Mexico.” (Officials estimate that the drug trade makes up almost 4 percent of Mexico’s $1.2 trillion annual GDP (Lee, 2014).). (21). Jacob JiHyong Kim states, “Aftershocks would be felt in worldwide stock markets. The illicit drug trade is worth an estimated $400 billion per annum, and nearly $200 billion of that is successfully laundered across the world each year (Lilley, 2003, p. 3). Experts suspect that billions of dollars of drug cartel money are invested in legitimate enterprises and investments such as stocks. Once the dirty money is “cleaned,” they are re-invested in illicit drug activities for further profits.” (21). Jacob JiHyong Kim states, “It is not surprising then, that high level Mexican officials throughout history conspired to increase drug production. In public appearances, their rhetoric has claimed a desire to end the scourge of drug influence. But officials who understood the importance of the drug trade to economy turned a blind eye towards cartel activity and indulged in corruption.” Jacob JiHyong Kim states, “Despite high profile captures of cartel leaders and the destruction of illicit crops, “the reality is that the drug trade has not only survived but has thrived in the face of intensified Mexican drug control efforts” (Andreas, 1998, p. 161). Drug traffickers could not have prospered unless they operated with the blessing of the state.” (21). I strongly recommend reading Kim’s dissertation, however I oppose legalizing marijuana/narcotics.
In the 2018 white paper, “U.S.-Mexico Security Cooperation 2018-2024” Vanda Felbab-Brown states, “In the last decade, close to 250,000 people have been murdered in Mexico, more than the number of civilians killed in Iraq since the 2003 U.S. invasion. 1 In 2018 alone, 33,341 people were murdered in Mexico, a 33 percent increase from 2017, which had also been a record-breaking year of violence. Homicide levels have risen steadily over the past three years in Mexico, yet a stunning 95 percent of homicides do not result in effective prosecutions of culprits.2 Impunity reigns in Mexico. The deterioration of public safety in Mexico extends far beyond homicides. 40,180 people have disappeared in Mexico largely since 2006.3 According to the National Survey of Victimization and Perception of Public Security (Encuesta Nacional de Victimización y Percepción sobre Seguridad Pública) 4 produced by the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), more than 25 million Mexicans were victims of some type of crime in 2017.4” (22)
Today, people continue to disappear in considerable numbers in Latin America as a result of different situations of violence. In Mexico, more than 40,000 people were reported missing between 2006 and 2019, and in Brazil, more than 80,000 cases were reported in 2017. (23).
In a 2012 report, Edgardo Buscaglia, a professor at Mexico’s ITAM university who has also served as an advisor to the World Bank and the UN, says that 71.5 percent of the nation’s municipalities are under criminal control. (24).
In a 2022 updated Congressional research service report, “Mexico: Organized crime and drug trafficking organizations (CRS Report No. R41576)" June Beittel states, “In 2020, DEA estimated the Sinaloa Cartel, active in 15 of 32 Mexican states, remained the Mexican crime organization with the largest international footprint.127 Sinaloa leaders successfully corrupted public officials from the local to the national level inside Mexico.128 The cartel’s operations spanned more than 50 countries, according to several analysts and journalists.129.” (25).
June Beittel states, “Some U.S. policymakers have expressed concerns about the extent of territory in Mexico not under central government control. In such places, criminal groups and their fragments attempt to seek dominance and secure impunity from government authorities.91” (25).
June Beittel states, “Organized crime groups have splintered and diversified their criminal activities, turning to extortion, kidnapping, oil theft, human smuggling, sex trafficking, retail drug sales, and other illicit enterprises.” (25). June Beittel states, “Judicial and policing deficiencies have allowed about a 95% impunity level for the resolution of crimes, on average. For decades, roughly 90% of crimes in Mexico have gone unreported, while only 4%-6% of those reported crimes reach conclusion or case closure. México Evalúa, Hallazgos 2020. Evaluación del Sistema de Justicia Penal en México, 8 th ed., October 5, 2021; Juan Antonio Le Clercq, “Mexico: Measuring Impunity Through the 2020 Global Impunity Index,” Global Americans, January 11, 2021; Animal Político, “To Murder in Mexico: Impunity Guaranteed,” September 30, 2018” (25).
June Beittel states, “The large number of disappeared and missing persons, and the estimated 90% of crimes in Mexico that go unreported, suggest deaths attributed to organized crime in Mexico may be far higher than officially reported.42 Homicide victim tallies do not include thousands who have been reported missing or disappeared or those found in unmarked graves. The cumulative total of Mexico’s disappeared and missing reportedly exceeds 100,000 in 2022, with 90% of disappearances reported to have taken place since 2007, according to the Mexican government.43 Some analysts maintain that enforced disappearances are a preferred cartel tactic to maintain political control.44” (25).
June Beittel states, “According to the U.S. State Department’s 2022 International Narcotics Control Strategy Report (INCSR), Mexico is a significant source and transit country for heroin, marijuana, and synthetic drugs (such as methamphetamine and fentanyl) destined for the United States. Mexico remains the main trafficking route for U.S.-bound cocaine from the major supply countries of Colombia and, to a lesser extent, Peru and Bolivia.94 DEA, in its National Drug Threat Assessment (NDTA) published in March 2021, maintains that traffickers and retail sellers of fentanyl and heroin combine the drugs in various ways, such as pressing them into highly addictive and extremely powerful counterfeit pills (appearing to be OxyContin or other prescription and over-the-counter drugs). 95 The DEA has said that fentanyl provided by Mexican traffickers to certain U.S. drug markets may supplant “white powder” heroin. Still, 97% of heroin traced from U.S. seizures is sourced from Mexico, according to the 2022 INCSR. Furthermore, the State Department report maintains that addiction rates inside Mexico are rising, including the abuse of synthetic drugs.” (25).
June Beittel states, “Heroin and Synthetically Produced Opioids. In its 2020 National Drug Threat Assessment, DEA warned that Mexico’s crime organizations, aided by corruption and impunity, present an acute threat to U.S. communities given their dominance in heroin and fentanyl exports. Mexico’s heroin traffickers, which traditionally provided black or brown heroin to the western part of the United States, began to change their opium processing methods in 2012 and 2013 to produce white powder heroin, a purer and more potent product. The DEA maintains that no other crime groups, foreign or domestic, have a reach comparable to that of Mexican TCOs to distribute white powder heroin and fentanyl within the United States. With Mexico being the leading source of fentanyl and fentanyl-laced counterfeit pills to the U.S. market, DEA warns that Mexican TCOs have established clandestine laboratories “for the synthesis of fentanyl.” 100” (25).
June Beittel states, “The State Department maintains that Mexico has not succeeded in sufficiently reducing the flow of dangerous drugs across the border. It cites Mexico’s failure to deter TCOs or successfully prosecute them in court and the slowing of Mexico’s responses to U.S. extradition requests for defendants on drug-related charges.101” (25).
Can prohibitionist win the war on drugs?
In stark contrast to Mexican, Colombian, Dominican, and Cuban trafficking organizations that bring drugs into the USA, the Taliban eradicated 99 percent (or all) of the opium (illicit drugs) production in Afghanistan prior to September 11, 2001 (and US Invasion of Afghanistan) (26). In 2023, after the return of the Taliban in the Afghanistan government, the BBC reports "The Taliban leaders appear to have been more successful cracking down on cultivation than anyone ever has. We found a huge fall in poppy growth in major opium-growing provinces, with one expert saying annual cultivation could be 80% down on last year. Less-profitable wheat crops have supplanted poppies in fields." "It is likely that cultivation will be less than 20% of what it was in 2022," said Afghanistan drug trade expert David Mansfield. "The scale of the reduction will be unprecedented. The high resolution imagery of Helmand province shows that poppy cultivation is down to less than 1,000 hectares when it was 129,000 hectares the previous year," said Mansfield, noting that would be a 99 percent reduction in the crop in that formerly key opium-producing province.” (27).
The Taliban, Afghanistan government has set a precedent for all countries in the world to emulate. Yes, prohibitionist can win the war on drugs.
More people died of Heroin in USA in 2016 than the entire number of US solider deaths in the war in Iraq and war in Afghanistan combined. These wars cost trillions of dollars, which should have been used to fight the war on drugs in USA (28). More importantly, after September 11, 2001, after the collapse of World Trade Center Buildings 1, 2, and 7 caused the deaths of an estimated 2,996 lives, the US (and the world) declared a War on Terrorism in Asia/Middle East/Africa (29). Afghanistan, Iraq, Syria, Libya have been destroyed by the US military. However, more lives in America have perished from drug poisoning caused by Mexican/Latin America Drug Cartels than the events that occurred on September 11, 2001. Moreover, the US, UK, Europe, and the world have placed the harshest sanctions on Iran for developing nuclear technology (that Iran claims is to be used for peaceful purpose of energy development) that the US argues is to be used to create weapons of mass destruction (30). Wikipedia States, “The United States has imposed an arms ban and an almost total economic embargo on Iran, which includes sanctions on companies doing business with Iran, a ban on all Iranian-origin imports, sanctions on Iranian financial institutions, and an almost total ban on selling aircraft or repair parts to Iranian aviation companies.” (30). How many American Citizens have been killed by Iran on US soil (in the continental US [50 States])? Zero. The real terrorists are not in the caves in the Afghanistan nor in the middle east. The real terrorist are the cartels who bring fentanyl, cocaine, heroin, methamphetamines, marijuana (and other narcotics) into the country (USA, UK, etc.), which causes addiction and drug poisoning deaths. The real weapons of mass destruction are fentanyl (and cocaine, heroin, marijuana, and other narcotics). The US, UK, Europe, Asia, Africa, United Nations, and the world must place the same sanctions on Mexico and Latin America as those that have been placed on Iran. The harshest Sanctions and Embargo on Mexico and Latin America must persist until Mexico and Latin America requires the death penalty for narcotics the way China requires the death penalty, and until Mexico and Latin America can emulate the Taliban’s success in eradicating narcotics in their region. Do not promote Mexico and Latin America.
What do policymakers and candidates have to say?
After the 2020 election, the Office of the President issued Executive Order 14059 of December 15, 2021, “Imposing Sanctions on Foreign Persons Involved in the Global Illicit Drug Trade.” (31). The Office of the President stated “that the trafficking into the United States of illicit drugs, including fentanyl and other synthetic opioids, is causing the deaths of tens of thousands of Americans annually, as well as countless more non-fatal overdoses with their own tragic human toll. Drug cartels, transnational criminal organizations, and their facilitators are the primary sources of illicit drugs and precursor chemicals that fuel the current opioid epidemic, as well as drug-related violence that harms our communities. I find that international drug trafficking—including the illicit production, global sale, and widespread distribution of illegal drugs; the rise of extremely potent drugs such as fentanyl and other synthetic opioids; as well as the growing role of Internet-based drug sales—constitutes an unusual and extraordinary threat to the national security, foreign policy, and economy of the United States.” (31).
Don Beyer states, “In addition to the toll on families and loved ones, opioid use imposes significant economy-wide costs. Adapting a methodology used by the CDC to estimate the cost of the opioid epidemic in 2017, the JEC estimates the opioid epidemic cost $1.04 trillion in 2018, $985 billion in 2019 and nearly $1.5 trillion in 2020.” (32).
Senators Joni Ernst (R-IA) and Tim Kaine (D-VA) made the following joint statement, “Fentanyl is a leading cause of death for Americans aged 18-45, and an estimated 196 Americans are dying every single day due to fentanyl, which is about the equivalent of the death total on 9/11 every 15 days. 90% of fentanyl flows through our Southern border. U.S.-Mexican cooperation on drug trafficking has faced significant challenges since Andrés Manuel López Obrador became president in 2018. Between Fiscal Year 2017 and 2021, fentanyl trafficking offenses increased 950%.” (33) Senator Tim Kaine stated, “Families across Virginia have lost mothers, fathers, children, siblings, and other loved ones to the substance use epidemic. And they’re not alone—every family in America has been impacted in one way or another by this crisis.” (33)
“Fentanyl is a deadly drug that is killing people and breaking up families in Nevada and across our nation,” said Jacky Rosen. (34)
Senator Tim Scott stated, ““Fentanyl takes the lives of far too many young Americans, stripping a whole generation of the opportunity to contribute to their communities and achieve their dreams.” (35). In an interview with Tucker Carlson, Tim Scott, stated, “Over 100,000 Americans have lost their lives overdoses in the last 12 months. 70,000 Americans have lost their lives because of fentanyl. We could stop fentanyl from crossing over our southern border by closing out southern border, building a wall under – This nation spent $7 trillion. It would take $10 billion to finish the wall and for an additional $5 billion, we could use the available technology to servile our southern border and our ports of entry to slow down fentanyl from coming into our country.” (36).
I support Senator Tim Scott’s “‘Alan Shao Jr. Fentanyl Public Health Emergency and Overdose Prevention Act.’’ (37)
I support Randy Feenstra’s Build the Wall and Fight Fentanyl Act. (38).
Governor Abbott issued an Executive Order No. GA-42 relating to designation of Mexican drug cartels as foreign terrorist organizations. (39).
I support designating Mexican drug cartels as foreign terrorist organizations under Section 219 of the INA, 8 U.S.C. § 1189- as suggested by Governor Abbot in a letter to the Office of the President (40). Similarly, the attorney generals of Virginia, Alabama, Alaska, Arkansas, Florida, Georgia, Indiana, Iowa, Kentucky, Louisiana, Missouri, Montana, Nebraska, New Hampshire, Ohio, Oklahoma, South Carolina, Tennessee, Texas, Utah, West Virginia made a statement requesting that the Sinaloa Cartel, CJNG, and other similarly situated Mexican drug cartels be designated as Foreign Terrorist Organizations pursuant to 8 U.S.C. § 1189. (41). They wrote to the office of the president that “Mexican drug cartels have diversified their operations beyond mere narcotics trafficking to include seemingly legitimate enterprises like the avocado trade, gasoline pipelines, gold mines, and even supermarkets.” (41).
I support Senator Tom Cotton’s declaration of war on drug cartels and a number of strategies delineated in Cotton’s op-ed on September 22, 2022. (42). Cotton states, “This is far from just a Mexican problem. The Mexican drug cartels have killed more Americans than any terrorist group in history—and the death toll is rising every day. In the last three years alone, a quarter of a million Americans have lost their lives in the deadliest drug crisis in history. More Americans die each year from drugs than were killed in the entire Vietnam War. The cartels are directly responsible for these deaths. Fentanyl, fentanyl analogues, meth, and heroin are all primarily produced and smuggled by the Mexican cartels and account for the overwhelming majority of drug-overdose deaths. Cocaine, the fourth-deadliest drug brought into the United States, is also primarily smuggled by the cartels.” Cotton states, “Each drug death and severe case of addiction is like a bomb going off in a community. Families are shattered, children are orphaned, promising young Americans are psychologically destroyed, and neighborhoods physically deteriorate. It’s little surprise that some parts of this country look and feel like warzones.” (42)
Cotton states, “To distribute their poison, the cartels have established broad criminal networks within our country. In some cases, they partner with the thousands of preexisting American street, prison, and motorcycle gangs, but in other cases they send violent Latin American gang members to do their bidding. In 2020, ICE deported over 4,000 illegal-alien gang members; the Border Patrol stopped hundreds more from entering.” (42).
Senator Lindsey Graham in a press release titled ““We Are Going To Unleash The Fury And Might Of The U.S. Against These Drug Cartels” stated “More people died in the United States from fentanyl poisoning than car wrecks and gun violence combined.” Lindsey Graham stated, “To the President of Mexico, fentanyl is a weapon of mass destruction being unleashed on America from your country. It’s coming from your country. You’re allowing safe havens for these groups to operate with impunity. Because what you’re doing is not working. Your country is being used by narcoterrorists to poison America.” (43).
Dan Crenshaw and Mike Waltz introduced legislation creating the Authorization for Use of Military Force (AUMF) to target Mexican drug cartels. (44)
“The cartels are war with us – poisoning more than 80,000 Americans with fentanyl every year, creating a crisis at our border, and turning Mexico into a failed narco-state,” Crenshaw said. “It’s time we directly target them. My legislation will put us at war with the cartels by authorizing the use of military force against the cartels. We cannot allow heavily armed and deadly cartels to destabilize Mexico and import people and drugs into the United States.” (44).
The Authorization for Use of Military Force (AUMF) allows the President to use military force against cartels based on their fentanyl trafficking, production, and distribution; their use of force against US law enforcement and/or military, law enforcement and/or military of a neighboring country, and/or to gain control of territory to use for their criminal enterprise.
I support Crenshaw’s H.J.Res.18 - AUMF CARTEL Influence Resolution. (45).
I support H.R.1564 - Drug Cartel Terrorist Designation Act and S.698 - Drug Cartel Terrorist Designation Act. (46) (47).
I stand in solidarity and strongly support Dan Crenshaw’s H.R.713 - Declaring War on the Cartels Act of 2023. (48). Specifically, I unequivocally support the proposed legislation’s Sec. 207. Sanctions on Foreign Governments Found to Facilitate Transnational Criminal Cartels. The Sanctions would be applied to any foreign government found to facilitate a designated transnational criminal cartels by providing material support or resources, as defined in section 2339A(b)(1) of title 18, United States Code; permit, or fail to take adequate measures to prevent, transnational criminal cartel activity within their territory. In addition the legislation would support the President to terminate assistance provided for under the Foreign Assistance Act of 1961 (Public Law 87–195) for foreign governments found to facilitate criminal cartels. (48).
Senator John Kennedy stated, ““We need to dismantle and disincentivize Mexico’s cartels in every way possible. Designating these murderers as foreign terrorist organizations would give U.S. officials more tools to use in putting the cartels and the networks that support them behind bars.” Kennedy explained, “Despite what the President of Mexico says, drug cartels are in control of large parts of Mexico. They are making billions of dollars sending fentanyl and illicit drugs into the United States where it is killing our citizens by the thousands. Designating these cartels as Foreign Terrorist Organizations will be a game-changer.” (49)
If elected President, Governor DeSantis will authorize appropriate rules of engagement at the border so that those trying to smuggle drugs into the United States are met with the use of force. Desantis stated that “Right now, cartel operatives cut through portions of the border wall with impunity and poison our communities with dangerous drugs.” (50). In an interview with Tucker Carlson, DeSantis reiterated using force to stop drugs from entering USA. (51). In a survey response to Breitbart, DeSantis campaign stated, “Ron DeSantis will declare a national emergency on day one, mobilize all military resources, declare the cartels to be narco-terrorists, and change the rules of engagement on the border. The full force of the federal government will be utilized to ensure that illegal drug flow is stopped, and he will bring to bear every tool he has to this end. He will utilize a variety of leverage points to ensure Mexico works with us to stop the flow of narcotics and human trafficking.” (52).
Vivek Ramaswamy, stated, “Use our military to annihilate Mexican drug cartels.” (53),
In a survey response to Breitbart, Nimarata Nikki Haley (née Randhawa) stated, “I’ll tell Mexico’s president that he either needs to crack down on the cartels, or we will. We’ll send in our special forces and treat the cartels like the terrorists they are. . . . .Mexico . . . won’t keep poisoning our citizens with fentanyl without consequences. I’ll also restart Remain in Mexico and close our southern border once and for all to stop the flow of illegal immigrants.” (52),
Donald Trump stated he would “Deploy all necessary military assets, including the U.S. Navy, to impose a full naval embargo on the cartels, to ensure they cannot use our region’s waters to traffic illicit drugs to the U.S.” Trump stated he would designate the major drug cartels as foreign terrorist organizations. Trump stated he would “Cut off the cartels’ access to the global financial system.” (54), Donald Trump stated he would, “Impose a full naval embargo on the drug cartels and deploy military assets to inflict maximum damage on cartel operations.” Trump stated he would “ask Congress to ensure that drug dealers and human traffickers receive the death penalty.” Trump stated he will Direct U.S. federal law enforcement to take down the gangs and organized street crime that distribute these deadly narcotics on a local level. (55).
There are benefits of a building a wall across the southern USA border with Mexico. First and foremost, stop drugs from entering USA, which will reduce the supply of illicit drugs in USA. Perhaps, this will reduce addiction initiation, reduce drug crimes, reduce foster care children caused by substance abuse, reduce deaths, reduce court costs because reduce crime (drug courts for addicted), reduce incarceration cost (this can reform the justice system), reduce money laundering used for other illicit activities, undercut funding for gangs. potentially increase productivity of people (because reduced addiction to drugs), and reduce treatment cost in the long term (expect short term increase in treatment due to users who are addicted to drugs). The Wall will allow different agencies to spend more money on targeted efforts to combat war on drugs. Reduction of routes for drugs to enter USA will enhance eradication of drug production (drug farming).
100,000 drug overdose deaths and Mexico/Latin America Drug Cartels – Open Letter to Taylor Swift to Cancel the Eras Tour Leg in Mexico, Latin America.
Dear Taylor Swift,
Because of the heartbreaking number of drug overdose deaths and addiction in USA (and the world) caused by Mexico, Mexican drug cartels, Latin America, Latin America cartels, I urge you to cancel the Eras Tour Leg in Mexico Latin America.
If one fan dies from a drug overdose, or becomes addicted to narcotics, or is kidnapped, or murdered, then there is a negative return on investment (ROI).
I am concerned you will see a negative return on investment.
In addition, the US Government has issued a travel advisory cautioning Americans to not travel to Mexico. The advisory concludes, “Violent crime—such as homicide, kidnapping, carjacking, and robbery—is widespread and common in Mexico.” (56).
Respectfully, hb257
2023.02.13 21:15 hugequiz_com US 1000 Largest Cities - 2020 Census
Attached is the 1000 largest cities in the US according to the 2020 census - pulled all the census data for this quiz:
https://hugequiz.com/quizzes/us-largest-cities/
submitted by hugequiz_com to geography [link] [comments]
https://hugequiz.com/quizzes/us-largest-cities/
| Rank | City | Population |
|---|---|---|
| 1 | New York, NY | 8804190 |
| 2 | Los Angeles, CA | 3898747 |
| 3 | Chicago, IL | 2746388 |
| 4 | Houston, TX | 2304580 |
| 5 | Phoenix, AZ | 1608139 |
| 6 | Philadelphia, PA | 1603797 |
| 7 | San Antonio, TX | 1434625 |
| 8 | San Diego, CA | 1386932 |
| 9 | Dallas, TX | 1304379 |
| 10 | San Jose, CA | 1013240 |
| 11 | Austin, TX | 961855 |
| 12 | Jacksonville, FL | 949611 |
| 13 | Fort Worth, TX | 918915 |
| 14 | Columbus, OH | 905748 |
| 15 | Indianapolis, IN | 887642 |
| 16 | Charlotte, NC | 874579 |
| 17 | San Francisco, CA | 873965 |
| 18 | Seattle, WA | 737015 |
| 19 | Denver, CO | 715522 |
| 20 | Washington, DC | 689545 |
| 21 | Nashville, TN | 689447 |
| 22 | Oklahoma City, OK | 681054 |
| 23 | El Paso, TX | 678815 |
| 24 | Boston, MA | 675647 |
| 25 | Portland, OR | 652503 |
| 26 | Las Vegas, NV | 641903 |
| 27 | Detroit, MI | 639111 |
| 28 | Memphis, TN | 633104 |
| 29 | Louisville, KY | 633045 |
| 30 | Baltimore, MD | 585708 |
| 31 | Milwaukee, WI | 577222 |
| 32 | Albuquerque, NM | 564559 |
| 33 | Tucson, AZ | 542629 |
| 34 | Fresno, CA | 542107 |
| 35 | Sacramento, CA | 524943 |
| 36 | Kansas City, MO | 508090 |
| 37 | Mesa, AZ | 504258 |
| 38 | Atlanta, GA | 498715 |
| 39 | Omaha, NE | 486051 |
| 40 | Colorado Springs, CO | 478961 |
| 41 | Raleigh, NC | 467665 |
| 42 | Long Beach, CA | 466742 |
| 43 | Virginia Beach, VA | 459470 |
| 44 | Miami, FL | 442241 |
| 45 | Oakland, CA | 440646 |
| 46 | Minneapolis, MN | 429954 |
| 47 | Tulsa, OK | 413066 |
| 48 | Bakersfield, CA | 403455 |
| 49 | Wichita, KS | 397532 |
| 50 | Arlington, TX | 394266 |
| 51 | Aurora, CO | 386261 |
| 52 | Tampa, FL | 384959 |
| 53 | New Orleans, LA | 383997 |
| 54 | Cleveland, OH | 372624 |
| 55 | Honolulu, HI | 350964 |
| 56 | Anaheim, CA | 346824 |
| 57 | Lexington, KY | 322570 |
| 58 | Stockton, CA | 320804 |
| 59 | Corpus Christi, TX | 317863 |
| 60 | Henderson, NV | 317610 |
| 61 | Riverside, CA | 314998 |
| 62 | Newark, NJ | 311549 |
| 63 | St Paul, MN | 311527 |
| 64 | Santa Ana, CA | 310227 |
| 65 | Cincinnati, OH | 309317 |
| 66 | Irvine, CA | 307670 |
| 67 | Orlando, FL | 307573 |
| 68 | Pittsburgh, PA | 302971 |
| 69 | St Louis, MO | 301578 |
| 70 | Greensboro, NC | 299035 |
| 71 | Jersey City, NJ | 292449 |
| 72 | Anchorage, AK | 291247 |
| 73 | Lincoln, NE | 291082 |
| 74 | Plano, TX | 285494 |
| 75 | Durham, NC | 283506 |
| 76 | Buffalo, NY | 278349 |
| 77 | Chandler, AZ | 275987 |
| 78 | Chula Vista, CA | 275487 |
| 79 | Toledo, OH | 270871 |
| 80 | Madison, WI | 269840 |
| 81 | Gilbert, AZ | 267918 |
| 82 | Reno, NV | 264165 |
| 83 | Fort Wayne, IN | 263886 |
| 84 | North Las Vegas, NV | 262527 |
| 85 | St Petersburg, FL | 258308 |
| 86 | Lubbock, TX | 257141 |
| 87 | Irving, TX | 256684 |
| 88 | Laredo, TX | 255205 |
| 89 | Winston Salem, NC | 249545 |
| 90 | Chesapeake, VA | 249422 |
| 91 | Glendale, AZ | 248325 |
| 92 | Garland, TX | 246018 |
| 93 | Scottsdale, AZ | 241361 |
| 94 | Norfolk, VA | 238005 |
| 95 | Boise, ID | 235684 |
| 96 | Fremont, CA | 230504 |
| 97 | Spokane, WA | 228989 |
| 98 | Santa Clarita, CA | 228673 |
| 99 | Baton Rouge, LA | 227470 |
| 100 | Richmond, VA | 226610 |
| 101 | Hialeah, FL | 223109 |
| 102 | San Bernardino, CA | 222101 |
| 103 | Tacoma, WA | 219346 |
| 104 | Modesto, CA | 218464 |
| 105 | Huntsville, AL | 215006 |
| 106 | Des Moines, IA | 214133 |
| 107 | Yonkers, NY | 211569 |
| 108 | Rochester, NY | 211328 |
| 109 | Moreno Valley, CA | 208634 |
| 110 | Fayetteville, NC | 208501 |
| 111 | Fontana, CA | 208393 |
| 112 | Columbus, GA | 206922 |
| 113 | Worcester, MA | 206518 |
| 114 | Port St Lucie, FL | 204851 |
| 115 | Little Rock, AR | 202591 |
| 116 | Augusta, GA | 202081 |
| 117 | Oxnard, CA | 202063 |
| 118 | Birmingham, AL | 200733 |
| 119 | Montgomery, AL | 200603 |
| 120 | Frisco, TX | 200509 |
| 121 | Amarillo, TX | 200393 |
| 122 | Salt Lake City, UT | 199723 |
| 123 | Grand Rapids, MI | 198917 |
| 124 | Huntington Beach, CA | 198711 |
| 125 | Overland Park, KS | 197238 |
| 126 | Glendale, CA | 196543 |
| 127 | Tallahassee, FL | 196169 |
| 128 | Grand Prairie, TX | 196100 |
| 129 | McKinney, TX | 195308 |
| 130 | Cape Coral, FL | 194016 |
| 131 | Sioux Falls, SD | 192517 |
| 132 | Peoria, AZ | 190985 |
| 133 | Providence, RI | 190934 |
| 134 | Vancouver, WA | 190915 |
| 135 | Knoxville, TN | 190740 |
| 136 | Akron, OH | 190469 |
| 137 | Shreveport, LA | 187593 |
| 138 | Mobile, AL | 187041 |
| 139 | Brownsville, TX | 186738 |
| 140 | Newport News, VA | 186247 |
| 141 | Fort Lauderdale, FL | 182760 |
| 142 | Chattanooga, TN | 181099 |
| 143 | Tempe, AZ | 180587 |
| 144 | Aurora, IL | 180542 |
| 145 | Santa Rosa, CA | 178127 |
| 146 | Eugene, OR | 176654 |
| 147 | Elk Grove, CA | 176124 |
| 148 | Salem, OR | 175535 |
| 149 | Ontario, CA | 175265 |
| 150 | Cary, NC | 174721 |
| 151 | Rancho Cucamonga, CA | 174453 |
| 152 | Oceanside, CA | 174068 |
| 153 | Lancaster, CA | 173516 |
| 154 | Garden Grove, CA | 171949 |
| 155 | Pembroke Pines, FL | 171178 |
| 156 | Fort Collins, CO | 169810 |
| 157 | Palmdale, CA | 169450 |
| 158 | Springfield, MO | 169176 |
| 159 | Clarksville, TN | 166722 |
| 160 | Salinas, CA | 163542 |
| 161 | Hayward, CA | 162954 |
| 162 | Paterson, NJ | 159732 |
| 163 | Alexandria, VA | 159467 |
| 164 | Macon, GA | 157346 |
| 165 | Corona, CA | 157136 |
| 166 | Kansas City, KS | 156607 |
| 167 | Lakewood, CO | 155984 |
| 168 | Springfield, MA | 155929 |
| 169 | Sunnyvale, CA | 155805 |
| 170 | Jackson, MS | 153701 |
| 171 | Killeen, TX | 153095 |
| 172 | Hollywood, FL | 153067 |
| 173 | Murfreesboro, TN | 152769 |
| 174 | Pasadena, TX | 151950 |
| 175 | Bellevue, WA | 151854 |
| 176 | Pomona, CA | 151713 |
| 177 | Escondido, CA | 151038 |
| 178 | Joliet, IL | 150362 |
| 179 | Charleston, SC | 150227 |
| 180 | Mesquite, TX | 150108 |
| 181 | Naperville, IL | 149540 |
| 182 | Rockford, IL | 148655 |
| 183 | Bridgeport, CT | 148654 |
| 184 | Syracuse, NY | 148620 |
| 185 | Savannah, GA | 147780 |
| 186 | Roseville, CA | 147773 |
| 187 | Torrance, CA | 147067 |
| 188 | Fullerton, CA | 143617 |
| 189 | Surprise, AZ | 143148 |
| 190 | McAllen, TX | 142210 |
| 191 | Thornton, CO | 141867 |
| 192 | Visalia, CA | 141384 |
| 193 | Olathe, KS | 141290 |
| 194 | Gainesville, FL | 141085 |
| 195 | West Valley City, UT | 140230 |
| 196 | Orange, CA | 139911 |
| 197 | Denton, TX | 139869 |
| 198 | Warren, MI | 139387 |
| 199 | Pasadena, CA | 138699 |
| 200 | Waco, TX | 138486 |
| 201 | Cedar Rapids, IA | 137710 |
| 202 | Dayton, OH | 137644 |
| 203 | Elizabeth, NJ | 137298 |
| 204 | Hampton, VA | 137148 |
| 205 | Columbia, SC | 136632 |
| 206 | Kent, WA | 136588 |
| 207 | Stamford, CT | 135470 |
| 208 | Lakewood, NJ | 135158 |
| 209 | Victorville, CA | 134810 |
| 210 | Miramar, FL | 134721 |
| 211 | Coral Springs, FL | 134394 |
| 212 | Sterling Heights, MI | 134346 |
| 213 | New Haven, CT | 134023 |
| 214 | Carrollton, TX | 133434 |
| 215 | Midland, TX | 132524 |
| 216 | Norman, OK | 128026 |
| 217 | Santa Clara, CA | 127647 |
| 218 | Athens, GA | 127315 |
| 219 | Thousand Oaks, CA | 126966 |
| 220 | Topeka, KS | 126587 |
| 221 | Simi Valley, CA | 126356 |
| 222 | Columbia, MO | 126254 |
| 223 | Vallejo, CA | 126090 |
| 224 | Fargo, ND | 125990 |
| 225 | Allentown, PA | 125845 |
| 226 | Pearland, TX | 125828 |
| 227 | Concord, CA | 125410 |
| 228 | Abilene, TX | 125182 |
| 229 | Arvada, CO | 124402 |
| 230 | Berkeley, CA | 124321 |
| 231 | Ann Arbor, MI | 123851 |
| 232 | Independence, MO | 123011 |
| 233 | Rochester, MN | 121395 |
| 234 | Lafayette, LA | 121374 |
| 235 | Hartford, CT | 121054 |
| 236 | College Station, TX | 120511 |
| 237 | Clovis, CA | 120124 |
| 238 | Fairfield, CA | 119881 |
| 239 | Palm Bay, FL | 119760 |
| 240 | Richardson, TX | 119469 |
| 241 | Round Rock, TX | 119468 |
| 242 | Cambridge, MA | 118403 |
| 243 | Meridian, ID | 117635 |
| 244 | West Palm Beach, FL | 117415 |
| 245 | Evansville, IN | 117298 |
| 246 | Clearwater, FL | 117292 |
| 247 | Billings, MT | 117116 |
| 248 | West Jordan, UT | 116961 |
| 249 | Richmond, CA | 116448 |
| 250 | Westminster, CO | 116317 |
| 251 | Manchester, NH | 115644 |
| 252 | Lowell, MA | 115554 |
| 253 | Wilmington, NC | 115451 |
| 254 | Antioch, CA | 115291 |
| 255 | Beaumont, TX | 115282 |
| 256 | Provo, UT | 115162 |
| 257 | North Charleston, SC | 114852 |
| 258 | Elgin, IL | 114797 |
| 259 | Carlsbad, CA | 114746 |
| 260 | Odessa, TX | 114428 |
| 261 | Waterbury, CT | 114403 |
| 262 | Springfield, IL | 114394 |
| 263 | League City, TX | 114392 |
| 264 | Downey, CA | 114355 |
| 265 | Gresham, OR | 114247 |
| 266 | High Point, NC | 114059 |
| 267 | Broken Arrow, OK | 113540 |
| 268 | Peoria, IL | 113150 |
| 269 | Lansing, MI | 112644 |
| 270 | Lakeland, FL | 112641 |
| 271 | Pompano Beach, FL | 112046 |
| 272 | Costa Mesa, CA | 111918 |
| 273 | Pueblo, CO | 111876 |
| 274 | Lewisville, TX | 111822 |
| 275 | Miami Gardens, FL | 111640 |
| 276 | Las Cruces, NM | 111385 |
| 277 | Sugar Land, TX | 111026 |
| 278 | Murrieta, CA | 110949 |
| 279 | Ventura, CA | 110763 |
| 280 | Everett, WA | 110629 |
| 281 | Temecula, CA | 110003 |
| 282 | Dearborn, MI | 109976 |
| 283 | Santa Maria, CA | 109707 |
| 284 | West Covina, CA | 109501 |
| 285 | El Monte, CA | 109450 |
| 286 | Greeley, CO | 108795 |
| 287 | Sparks, NV | 108445 |
| 288 | Centennial, CO | 108418 |
| 289 | Boulder, CO | 108250 |
| 290 | Sandy Springs, GA | 108080 |
| 291 | Inglewood, CA | 107762 |
| 292 | Edison, NJ | 107588 |
| 293 | South Fulton, GA | 107436 |
| 294 | Green Bay, WI | 107395 |
| 295 | Burbank, CA | 107337 |
| 296 | Renton, WA | 106785 |
| 297 | Hillsboro, OR | 106447 |
| 298 | El Cajon, CA | 106215 |
| 299 | Tyler, TX | 105995 |
| 300 | Davie, FL | 105691 |
| 301 | San Mateo, CA | 105661 |
| 302 | Brockton, MA | 105643 |
| 303 | Concord, NC | 105240 |
| 304 | Jurupa Valley, CA | 105053 |
| 305 | Daly City, CA | 104901 |
| 306 | Allen, TX | 104627 |
| 307 | Rio Rancho, NM | 104046 |
| 308 | Rialto, CA | 104026 |
| 309 | Woodbridge, NJ | 103639 |
| 310 | South Bend, IN | 103453 |
| 311 | Spokane Valley, WA | 102976 |
| 312 | Norwalk, CA | 102773 |
| 313 | Menifee, CA | 102527 |
| 314 | Vacaville, CA | 102386 |
| 315 | Wichita Falls, TX | 102316 |
| 316 | Davenport, IA | 101724 |
| 317 | Quincy, MA | 101636 |
| 318 | Chico, CA | 101475 |
| 319 | Lynn, MA | 101253 |
| 320 | Lees Summit, MO | 101108 |
| 321 | New Bedford, MA | 101079 |
| 322 | Federal Way, WA | 101030 |
| 323 | Clinton, MI | 100513 |
| 324 | Edinburg, TX | 100243 |
| 325 | Nampa, ID | 100200 |
| 326 | Roanoke, VA | 100011 |
| 327 | Kenosha, WI | 99986 |
| 328 | San Angelo, TX | 99893 |
| 329 | Hesperia, CA | 99818 |
| 330 | Carmel, IN | 99757 |
| 331 | Tuscaloosa, AL | 99600 |
| 332 | Albany, NY | 99224 |
| 333 | Bend, OR | 99178 |
| 334 | Fishers, IN | 98977 |
| 335 | Longmont, CO | 98885 |
| 336 | Canton, MI | 98659 |
| 337 | Vista, CA | 98381 |
| 338 | Orem, UT | 98129 |
| 339 | Portsmouth, VA | 97915 |
| 340 | Beaverton, OR | 97494 |
| 341 | Boca Raton, FL | 97422 |
| 342 | Sunrise, FL | 97335 |
| 343 | Yakima, WA | 96968 |
| 344 | Sandy, UT | 96904 |
| 345 | Compton, CA | 95740 |
| 346 | Carson, CA | 95558 |
| 347 | Yuma, AZ | 95548 |
| 348 | Livonia, MI | 95535 |
| 349 | Toms River, NJ | 95438 |
| 350 | St George, UT | 95342 |
| 351 | Goodyear, AZ | 95294 |
| 352 | Reading, PA | 95112 |
| 353 | Lawrence, KS | 94934 |
| 354 | San Marcos, CA | 94833 |
| 355 | Erie, PA | 94831 |
| 356 | Asheville, NC | 94589 |
| 357 | Edmond, OK | 94428 |
| 358 | Suffolk, VA | 94324 |
| 359 | Fall River, MA | 94000 |
| 360 | Fayetteville, AR | 93949 |
| 361 | Deltona, FL | 93692 |
| 362 | Mission Viejo, CA | 93653 |
| 363 | Redding, CA | 93611 |
| 364 | Santa Monica, CA | 93076 |
| 365 | Tracy, CA | 93000 |
| 366 | Roswell, GA | 92833 |
| 367 | South Gate, CA | 92726 |
| 368 | Hoover, AL | 92606 |
| 369 | Hamilton, NJ | 92297 |
| 370 | Kirkland, WA | 92175 |
| 371 | Plantation, FL | 91750 |
| 372 | Buckeye, AZ | 91502 |
| 373 | Bellingham, WA | 91482 |
| 374 | Chino, CA | 91403 |
| 375 | Nashua, NH | 91322 |
| 376 | OFallon, MO | 91316 |
| 377 | Norwalk, CT | 91184 |
| 378 | San Leandro, CA | 91008 |
| 379 | Westminster, CA | 90911 |
| 380 | Trenton, NJ | 90871 |
| 381 | Mount Pleasant, SC | 90801 |
| 382 | New Braunfels, TX | 90403 |
| 383 | Lawton, OK | 90381 |
| 384 | Clifton, NJ | 90296 |
| 385 | Bloomington, MN | 89987 |
| 386 | Conroe, TX | 89956 |
| 387 | Hemet, CA | 89833 |
| 388 | Avondale, AZ | 89334 |
| 389 | Waukegan, IL | 89321 |
| 390 | Palm Coast, FL | 89258 |
| 391 | Lawrence, MA | 89143 |
| 392 | Fort Smith, AR | 89142 |
| 393 | Indio, CA | 89137 |
| 394 | Newton, MA | 88923 |
| 395 | Santa Barbara, CA | 88665 |
| 396 | Champaign, IL | 88302 |
| 397 | Hawthorne, CA | 88083 |
| 398 | Livermore, CA | 87955 |
| 399 | Citrus Heights, CA | 87583 |
| 400 | Greenville, NC | 87521 |
| 401 | Santa Fe, NM | 87505 |
| 402 | Ogden, UT | 87321 |
| 403 | Whittier, CA | 87306 |
| 404 | Troy, MI | 87294 |
| 405 | Auburn, WA | 87256 |
| 406 | Deerfield Beach, FL | 86859 |
| 407 | Duluth, MN | 86697 |
| 408 | Danbury, CT | 86518 |
| 409 | Brooklyn Park, MN | 86478 |
| 410 | Fort Myers, FL | 86395 |
| 411 | Merced, CA | 86333 |
| 412 | Lake Forest, CA | 85858 |
| 413 | Medford, OR | 85824 |
| 414 | Sioux City, IA | 85797 |
| 415 | Mission, TX | 85778 |
| 416 | Westland, MI | 85420 |
| 417 | Cicero, IL | 85268 |
| 418 | Newport Beach, CA | 85239 |
| 419 | Lake Charles, LA | 84872 |
| 420 | Melbourne, FL | 84678 |
| 421 | San Ramon, CA | 84605 |
| 422 | Redwood City, CA | 84292 |
| 423 | Springdale, AR | 84161 |
| 424 | Buena Park, CA | 84034 |
| 425 | Farmington Hills, MI | 83986 |
| 426 | Bryan, TX | 83980 |
| 427 | Kennewick, WA | 83921 |
| 428 | Baytown, TX | 83701 |
| 429 | Manteca, CA | 83498 |
| 430 | Franklin, TN | 83454 |
| 431 | Cranston, RI | 82934 |
| 432 | Miami Beach, FL | 82890 |
| 433 | Alhambra, CA | 82868 |
| 434 | Warwick, RI | 82823 |
| 435 | Lakewood, CA | 82496 |
| 436 | Largo, FL | 82485 |
| 437 | Johns Creek, GA | 82453 |
| 438 | Mountain View, CA | 82376 |
| 439 | Temple, TX | 82073 |
| 440 | Layton, UT | 81773 |
| 441 | Longview, TX | 81638 |
| 442 | Flint, MI | 81252 |
| 443 | Parma, OH | 81146 |
| 444 | Somerville, MA | 81045 |
| 445 | Plymouth, MN | 81026 |
| 446 | Homestead, FL | 80737 |
| 447 | Folsom, CA | 80454 |
| 448 | Gastonia, NC | 80411 |
| 449 | Boynton Beach, FL | 80380 |
| 450 | Warner Robins, GA | 80308 |
| 451 | Tustin, CA | 80276 |
| 452 | Milpitas, CA | 80273 |
| 453 | Pleasanton, CA | 79871 |
| 454 | New Rochelle, NY | 79726 |
| 455 | Pharr, TX | 79715 |
| 456 | Shelby, MI | 79408 |
| 457 | Rancho Cordova, CA | 79332 |
| 458 | Napa, CA | 79246 |
| 459 | Kissimmee, FL | 79226 |
| 460 | Bellflower, CA | 79190 |
| 461 | Bloomington, IN | 79168 |
| 462 | Upland, CA | 79040 |
| 463 | Lynchburg, VA | 79009 |
| 464 | Schaumburg, IL | 78723 |
| 465 | Perris, CA | 78700 |
| 466 | Bloomington, IL | 78680 |
| 467 | Jonesboro, AR | 78576 |
| 468 | Chino Hills, CA | 78411 |
| 469 | Alameda, CA | 78280 |
| 470 | Frederick, MD | 78171 |
| 471 | Evanston, IL | 78110 |
| 472 | Hammond, IN | 77879 |
| 473 | Racine, WI | 77816 |
| 474 | Arlington Heights, IL | 77676 |
| 475 | Cedar Park, TX | 77595 |
| 476 | South Jordan, UT | 77487 |
| 477 | Pasco, WA | 77108 |
| 478 | Flagstaff, AZ | 76831 |
| 479 | Southfield, MI | 76618 |
| 480 | Wyoming, MI | 76501 |
| 481 | Pittsburg, CA | 76416 |
| 482 | Loveland, CO | 76378 |
| 483 | Scranton, PA | 76328 |
| 484 | Rochester Hills, MI | 76300 |
| 485 | Auburn, AL | 76143 |
| 486 | Flower Mound, TX | 75956 |
| 487 | Lehi, UT | 75907 |
| 488 | Doral, FL | 75874 |
| 489 | Apple Valley, CA | 75791 |
| 490 | Bethlehem, PA | 75781 |
| 491 | Appleton, WI | 75644 |
| 492 | Pawtucket, RI | 75604 |
| 493 | Woodbury, MN | 75102 |
| 494 | Iowa City, IA | 74828 |
| 495 | North Port, FL | 74793 |
| 496 | Rapid City, SD | 74703 |
| 497 | Cherry Hill, NJ | 74553 |
| 498 | Lauderhill, FL | 74482 |
| 499 | Rock Hill, SC | 74372 |
| 500 | Missouri City, TX | 74259 |
| 501 | New Britain, CT | 74135 |
| 502 | Broomfield, CO | 74112 |
| 503 | Bolingbrook, IL | 73922 |
| 504 | Mount Vernon, NY | 73893 |
| 505 | Bismarck, ND | 73622 |
| 506 | Brick, NJ | 73620 |
| 507 | Kalamazoo, MI | 73598 |
| 508 | Missoula, MT | 73489 |
| 509 | Redmond, WA | 73256 |
| 510 | Redlands, CA | 73168 |
| 511 | Castle Rock, CO | 73158 |
| 512 | Gulfport, MS | 72926 |
| 513 | Turlock, CA | 72740 |
| 514 | Jacksonville, NC | 72723 |
| 515 | Daytona Beach, FL | 72647 |
| 516 | Mansfield, TX | 72602 |
| 517 | Dublin, CA | 72589 |
| 518 | St Joseph, MO | 72473 |
| 519 | Framingham, MA | 72362 |
| 520 | Bowling Green, KY | 72294 |
| 521 | Baldwin Park, CA | 72176 |
| 522 | Tamarac, FL | 71897 |
| 523 | Harlingen, TX | 71829 |
| 524 | Camden, NJ | 71791 |
| 525 | Bayonne, NJ | 71686 |
| 526 | Rocklin, CA | 71601 |
| 527 | Redondo Beach, CA | 71576 |
| 528 | Waukesha, WI | 71158 |
| 529 | Dothan, AL | 71072 |
| 530 | Johnson City, TN | 71046 |
| 531 | Wilmington, DE | 70898 |
| 532 | Canton, OH | 70872 |
| 533 | Lafayette, IN | 70783 |
| 534 | Camarillo, CA | 70741 |
| 535 | Greenville, SC | 70720 |
| 536 | Marysville, WA | 70714 |
| 537 | Waterford, MI | 70565 |
| 538 | Passaic, NJ | 70537 |
| 539 | Decatur, IL | 70522 |
| 540 | St Charles, MO | 70493 |
| 541 | Lake Elsinore, CA | 70265 |
| 542 | Maple Grove, MN | 70253 |
| 543 | Blaine, MN | 70222 |
| 544 | Union City, CA | 70143 |
| 545 | Walnut Creek, CA | 70127 |
| 546 | Yuba City, CA | 70117 |
| 547 | North Richland Hills, TX | 69917 |
| 548 | Rogers, AR | 69908 |
| 549 | Eastvale, CA | 69757 |
| 550 | Gaithersburg, MD | 69657 |
| 551 | Albany, GA | 69647 |
| 552 | East Orange, NJ | 69612 |
| 553 | Noblesville, IN | 69604 |
| 554 | Lakeville, MN | 69490 |
| 555 | Eau Claire, WI | 69421 |
| 556 | Gary, IN | 69093 |
| 557 | St Cloud, MN | 68881 |
| 558 | Tulare, CA | 68875 |
| 559 | Eagan, MN | 68855 |
| 560 | West Des Moines, IA | 68723 |
| 561 | Union City, NJ | 68589 |
| 562 | Palo Alto, CA | 68572 |
| 563 | Portland, ME | 68408 |
| 564 | Franklin, NJ | 68364 |
| 565 | Yorba Linda, CA | 68336 |
| 566 | Jackson, TN | 68205 |
| 567 | Weston, FL | 68107 |
| 568 | Palatine, IL | 67908 |
| 569 | Ankeny, IA | 67887 |
| 570 | Skokie, IL | 67824 |
| 571 | Haverhill, MA | 67787 |
| 572 | San Marcos, TX | 67553 |
| 573 | Sammamish, WA | 67455 |
| 574 | Waterloo, IA | 67314 |
| 575 | Shawnee, KS | 67311 |
| 576 | Lynwood, CA | 67265 |
| 577 | Georgetown, TX | 67176 |
| 578 | Rockville, MD | 67117 |
| 579 | Middletown, NJ | 67106 |
| 580 | Schenectady, NY | 67047 |
| 581 | Old Bridge, NJ | 66876 |
| 582 | Davis, CA | 66850 |
| 583 | Delray Beach, FL | 66846 |
| 584 | Oshkosh, WI | 66816 |
| 585 | Kenner, LA | 66448 |
| 586 | Ames, IA | 66427 |
| 587 | Lodi, CA | 66348 |
| 588 | Malden, MA | 66263 |
| 589 | Novi, MI | 66243 |
| 590 | Madera, CA | 66224 |
| 591 | South San Francisco, CA | 66105 |
| 592 | Gloucester, NJ | 66034 |
| 593 | West Bloomfield, MI | 65888 |
| 594 | Alpharetta, GA | 65818 |
| 595 | Janesville, WI | 65615 |
| 596 | Grand Junction, CO | 65560 |
| 597 | Victoria, TX | 65534 |
| 598 | Utica, NY | 65283 |
| 599 | Waltham, MA | 65218 |
| 600 | Lorain, OH | 65211 |
| 601 | Muncie, IN | 65194 |
| 602 | Pflugerville, TX | 65191 |
| 603 | Cheyenne, WY | 65132 |
| 604 | Idaho Falls, ID | 64818 |
| 605 | North Little Rock, AR | 64591 |
| 606 | Laguna Niguel, CA | 64355 |
| 607 | Burnsville, MN | 64317 |
| 608 | San Clemente, CA | 64293 |
| 609 | Brentwood, CA | 64292 |
| 610 | Eden Prairie, MN | 64198 |
| 611 | Bellevue, NE | 64176 |
| 612 | Conway, AR | 64134 |
| 613 | West Hartford, CT | 64083 |
| 614 | Greenwood, IN | 63830 |
| 615 | Lakewood, WA | 63612 |
| 616 | Coon Rapids, MN | 63599 |
| 617 | Ocala, FL | 63591 |
| 618 | Greenwich, CT | 63518 |
| 619 | Taylor, MI | 63409 |
| 620 | Hamilton, OH | 63399 |
| 621 | Millcreek, UT | 63380 |
| 622 | North Bergen, NJ | 63361 |
| 623 | Dearborn Heights, MI | 63292 |
| 624 | Brookline, MA | 63191 |
| 625 | La Habra, CA | 63097 |
| 626 | Santa Cruz, CA | 62956 |
| 627 | Council Bluffs, IA | 62799 |
| 628 | Moore, OK | 62793 |
| 629 | Bossier City, LA | 62701 |
| 630 | Montebello, CA | 62640 |
| 631 | Porterville, CA | 62623 |
| 632 | Port Orange, FL | 62596 |
| 633 | Rowlett, TX | 62535 |
| 634 | Commerce City, CO | 62418 |
| 635 | Revere, MA | 62186 |
| 636 | Pico Rivera, CA | 62088 |
| 637 | Encinitas, CA | 62007 |
| 638 | Chapel Hill, NC | 61960 |
| 639 | Springfield, OR | 61851 |
| 640 | Hendersonville, TN | 61753 |
| 641 | Wellington, FL | 61637 |
| 642 | Pontiac, MI | 61606 |
| 643 | Fairfield, CT | 61512 |
| 644 | Huntersville, NC | 61376 |
| 645 | San Rafael, CA | 61271 |
| 646 | Plymouth, MA | 61217 |
| 647 | Irvington, NJ | 61176 |
| 648 | Hamden, CT | 61169 |
| 649 | La Mesa, CA | 61121 |
| 650 | Monterey Park, CA | 61096 |
| 651 | Sanford, FL | 61051 |
| 652 | Jupiter, FL | 61047 |
| 653 | Woodland, CA | 61032 |
| 654 | Euless, TX | 61032 |
| 655 | Gardena, CA | 61027 |
| 656 | Marietta, GA | 60972 |
| 657 | Meriden, CT | 60850 |
| 658 | Bristol, CT | 60833 |
| 659 | Piscataway, NJ | 60804 |
| 660 | Vineland, NJ | 60780 |
| 661 | Des Plaines, IL | 60675 |
| 662 | Richland, WA | 60560 |
| 663 | Taylorsville, UT | 60448 |
| 664 | Great Falls, MT | 60442 |
| 665 | Hoboken, NJ | 60419 |
| 666 | Cupertino, CA | 60381 |
| 667 | West Allis, WI | 60325 |
| 668 | North Miami, FL | 60191 |
| 669 | Owensboro, KY | 60183 |
| 670 | Youngstown, OH | 60068 |
| 671 | Santee, CA | 60037 |
| 672 | Caldwell, ID | 59996 |
| 673 | Corvallis, OR | 59922 |
| 674 | Petaluma, CA | 59776 |
| 675 | Union, NJ | 59728 |
| 676 | Manchester, CT | 59713 |
| 677 | Dubuque, IA | 59667 |
| 678 | Medford, MA | 59659 |
| 679 | Kokomo, IN | 59604 |
| 680 | White Plains, NY | 59559 |
| 681 | Gilroy, CA | 59520 |
| 682 | Queen Creek, AZ | 59519 |
| 683 | Taunton, MA | 59408 |
| 684 | Leander, TX | 59202 |
| 685 | Stonecrest, GA | 59194 |
| 686 | Palm Beach Gardens, FL | 59182 |
| 687 | Hempstead, NY | 59169 |
| 688 | Grand Forks, ND | 59166 |
| 689 | Casper, WY | 59038 |
| 690 | St Cloud, FL | 58964 |
| 691 | St Clair Shores, MI | 58874 |
| 692 | Apex, NC | 58780 |
| 693 | Margate, FL | 58712 |
| 694 | Orland Park, IL | 58703 |
| 695 | Springfield, OH | 58662 |
| 696 | Carson City, NV | 58639 |
| 697 | Shoreline, WA | 58608 |
| 698 | Blue Springs, MO | 58603 |
| 699 | Jackson, NJ | 58544 |
| 700 | Parker, CO | 58512 |
| 701 | Midwest City, OK | 58409 |
| 702 | Terre Haute, IN | 58389 |
| 703 | Oak Lawn, IL | 58362 |
| 704 | Bowie, MD | 58329 |
| 705 | Royal Oak, MI | 58211 |
| 706 | Maricopa, AZ | 58125 |
| 707 | Lancaster, PA | 58039 |
| 708 | Hanford, CA | 57990 |
| 709 | Decatur, AL | 57938 |
| 710 | Kettering, OH | 57862 |
| 711 | Coconut Creek, FL | 57833 |
| 712 | Bartlett, TN | 57786 |
| 713 | St Peters, MO | 57732 |
| 714 | Wylie, TX | 57526 |
| 715 | Weymouth, MA | 57437 |
| 716 | Lenexa, KS | 57434 |
| 717 | Burlington, NC | 57303 |
| 718 | Berwyn, IL | 57250 |
| 719 | Lake Havasu City, AZ | 57144 |
| 720 | Fountain Valley, CA | 57047 |
| 721 | Highland, CA | 56999 |
| 722 | Madison, AL | 56933 |
| 723 | Mount Prospect, IL | 56852 |
| 724 | Arcadia, CA | 56681 |
| 725 | Albany, OR | 56472 |
| 726 | Apple Valley, MN | 56374 |
| 727 | Pocatello, ID | 56320 |
| 728 | National City, CA | 56173 |
| 729 | Parsippany-Troy Hills, NJ | 56162 |
| 730 | DeSoto, TX | 56145 |
| 731 | Port Arthur, TX | 56039 |
| 732 | Tinley Park, IL | 55971 |
| 733 | Bradenton, FL | 55698 |
| 734 | Ypsilanti, MI | 55670 |
| 735 | Smyrna, GA | 55663 |
| 736 | Olympia, WA | 55605 |
| 737 | West Haven, CT | 55584 |
| 738 | Chicopee, MA | 55560 |
| 739 | Kingsport, TN | 55442 |
| 740 | Perth Amboy, NJ | 55436 |
| 741 | Valdosta, GA | 55378 |
| 742 | New Brunswick, NJ | 55266 |
| 743 | Brookhaven, GA | 55161 |
| 744 | Herriman, UT | 55144 |
| 745 | Diamond Bar, CA | 55072 |
| 746 | Huntington Park, CA | 54883 |
| 747 | Apopka, FL | 54873 |
| 748 | Sarasota, FL | 54842 |
| 749 | Wayne, NJ | 54838 |
| 750 | Anderson, IN | 54788 |
| 751 | Southaven, MS | 54648 |
| 752 | Coeur dAlene, ID | 54628 |
| 753 | Plainfield, NJ | 54586 |
| 754 | Oak Park, IL | 54583 |
| 755 | Yucaipa, CA | 54542 |
| 756 | Tigard, OR | 54539 |
| 757 | Peabody, MA | 54481 |
| 758 | Rocky Mount, NC | 54341 |
| 759 | Pensacola, FL | 54312 |
| 760 | Kentwood, MI | 54304 |
| 761 | Bentonville, AR | 54164 |
| 762 | Manhattan, KS | 54100 |
| 763 | Georgetown, MI | 54091 |
| 764 | Wheaton, IL | 53970 |
| 765 | Elkhart, IN | 53923 |
| 766 | West Sacramento, CA | 53915 |
| 767 | Colton, CA | 53909 |
| 768 | San Jacinto, CA | 53898 |
| 769 | Minnetonka, MN | 53781 |
| 770 | Paramount, CA | 53733 |
| 771 | Galveston, TX | 53695 |
| 772 | Casa Grande, AZ | 53658 |
| 773 | Bonita Springs, FL | 53644 |
| 774 | Howell, NJ | 53537 |
| 775 | Lacey, WA | 53526 |
| 776 | Edina, MN | 53494 |
| 777 | Bozeman, MT | 53293 |
| 778 | Novato, CA | 53225 |
| 779 | Grand Island, NE | 53131 |
| 780 | Kannapolis, NC | 53114 |
| 781 | Bloomfield, NJ | 53105 |
| 782 | Pinellas Park, FL | 53093 |
| 783 | Smyrna, TN | 53070 |
| 784 | Methuen, MA | 53059 |
| 785 | Beaumont, CA | 53036 |
| 786 | West New York, NJ | 52912 |
| 787 | Logan, UT | 52778 |
| 788 | Normal, IL | 52736 |
| 789 | Battle Creek, MI | 52721 |
| 790 | La Crosse, WI | 52680 |
| 791 | Elyria, OH | 52656 |
| 792 | Watsonville, CA | 52590 |
| 793 | Glendora, CA | 52558 |
| 794 | Florissant, MO | 52533 |
| 795 | Hoffman Estates, IL | 52530 |
| 796 | Stratford, CT | 52355 |
| 797 | Aliso Viejo, CA | 52176 |
| 798 | Burien, WA | 52066 |
| 799 | Marana, AZ | 51908 |
| 800 | Texas City, TX | 51898 |
| 801 | Placentia, CA | 51824 |
| 802 | Harrisonburg, VA | 51814 |
| 803 | Twin Falls, ID | 51807 |
| 804 | Joplin, MO | 51762 |
| 805 | Dunwoody, GA | 51683 |
| 806 | Cathedral City, CA | 51493 |
| 807 | Delano, CA | 51428 |
| 808 | Troy, NY | 51401 |
| 809 | Collierville, TN | 51324 |
| 810 | Enid, OK | 51308 |
| 811 | Covina, CA | 51268 |
| 812 | Rosemead, CA | 51185 |
| 813 | Palm Desert, CA | 51163 |
| 814 | Cuyahoga Falls, OH | 51114 |
| 815 | Mishawaka, IN | 51063 |
| 816 | East Hartford, CT | 51045 |
| 817 | Draper, UT | 51017 |
| 818 | Middletown, OH | 50987 |
| 819 | Lakewood, OH | 50942 |
| 820 | East Honolulu, HI | 50922 |
| 821 | Summerville, SC | 50915 |
| 822 | Murray, UT | 50637 |
| 823 | Grapevine, TX | 50631 |
| 824 | Milford, CT | 50558 |
| 825 | Columbus, IN | 50474 |
| 826 | Downers Grove, IL | 50247 |
| 827 | Mooresville, NC | 50193 |
| 828 | Cypress, CA | 50151 |
| 829 | Harrisburg, PA | 50099 |
| 830 | St Louis Park, MN | 50010 |
| 831 | Spring Hill, TN | 50005 |
| 832 | Azusa, CA | 50000 |
| 833 | Chesterfield, MO | 49999 |
| 834 | Newark, OH | 49934 |
| 835 | Sheboygan, WI | 49929 |
| 836 | Bedford, TX | 49928 |
| 837 | Lincoln, CA | 49757 |
| 838 | East Brunswick, NJ | 49715 |
| 839 | Euclid, OH | 49692 |
| 840 | Cerritos, CA | 49578 |
| 841 | Redford, MI | 49504 |
| 842 | Biloxi, MS | 49449 |
| 843 | Jeffersonville, IN | 49447 |
| 844 | Lawrence, IN | 49370 |
| 845 | Dublin, OH | 49328 |
| 846 | Ceres, CA | 49302 |
| 847 | Coral Gables, FL | 49248 |
| 848 | Winter Haven, FL | 49219 |
| 849 | Cedar Hill, TX | 49148 |
| 850 | Everett, MA | 49075 |
| 851 | Barnstable, MA | 48916 |
| 852 | Portage, MI | 48891 |
| 853 | Charleston, WV | 48864 |
| 854 | West Orange, NJ | 48843 |
| 855 | Poway, CA | 48841 |
| 856 | Titusville, FL | 48789 |
| 857 | Hattiesburg, MS | 48730 |
| 858 | Glenview, IL | 48705 |
| 859 | Washington, NJ | 48677 |
| 860 | Niagara Falls, NY | 48671 |
| 861 | Monroe, NJ | 48594 |
| 862 | Roswell, NM | 48422 |
| 863 | Stillwater, OK | 48394 |
| 864 | Wauwatosa, WI | 48387 |
| 865 | Minot, ND | 48377 |
| 866 | Leesburg, VA | 48250 |
| 867 | Bothell, WA | 48161 |
| 868 | La Mirada, CA | 48008 |
| 869 | Binghamton, NY | 47969 |
| 870 | Rancho Santa Margarita, CA | 47949 |
| 871 | Wilson, NC | 47851 |
| 872 | Egg Harbor, NJ | 47842 |
| 873 | East Lansing, MI | 47741 |
| 874 | Middletown, CT | 47717 |
| 875 | Roseville, MI | 47710 |
| 876 | Monroe, LA | 47702 |
| 877 | Burleson, TX | 47641 |
| 878 | Wake Forest, NC | 47601 |
| 879 | Mansfield, OH | 47534 |
| 880 | Newark, CA | 47529 |
| 881 | Mentor, OH | 47450 |
| 882 | Cleveland, TN | 47356 |
| 883 | Brea, CA | 47325 |
| 884 | Fort Pierce, FL | 47297 |
| 885 | Ocoee, FL | 47295 |
| 886 | Rockwall, TX | 47251 |
| 887 | East Providence, RI | 47139 |
| 888 | Oro Valley, AZ | 47070 |
| 889 | San Luis Obispo, CA | 47063 |
| 890 | South Brunswick, NJ | 47043 |
| 891 | Winter Garden, FL | 46964 |
| 892 | Salina, KS | 46889 |
| 893 | Huntington, WV | 46842 |
| 894 | Evesham, NJ | 46826 |
| 895 | Prescott Valley, AZ | 46785 |
| 896 | Farmington, NM | 46624 |
| 897 | Charlottesville, VA | 46553 |
| 898 | Beavercreek, OH | 46549 |
| 899 | Strongsville, OH | 46491 |
| 900 | Attleboro, MA | 46461 |
| 901 | Little Elm, TX | 46453 |
| 902 | Westfield, IN | 46410 |
| 903 | Arlington, MA | 46308 |
| 904 | Altamonte Springs, FL | 46231 |
| 905 | Haltom City, TX | 46073 |
| 906 | Hackensack, NJ | 46030 |
| 907 | Bridgewater, NJ | 45977 |
| 908 | Goose Creek, SC | 45946 |
| 909 | Huntsville, TX | 45941 |
| 910 | Prescott, AZ | 45827 |
| 911 | Elmhurst, IL | 45786 |
| 912 | Keller, TX | 45776 |
| 913 | Bountiful, UT | 45762 |
| 914 | Kyle, TX | 45697 |
| 915 | Littleton, CO | 45652 |
| 916 | Urbandale, IA | 45580 |
| 917 | Los Banos, CA | 45532 |
| 918 | Morgan Hill, CA | 45483 |
| 919 | Cutler Bay, FL | 45425 |
| 920 | Brentwood, TN | 45373 |
| 921 | Sayreville, NJ | 45345 |
| 922 | Cleveland Heights, OH | 45312 |
| 923 | Sierra Vista, AZ | 45308 |
| 924 | Pearl City, HI | 45295 |
| 925 | Riverton, UT | 45285 |
| 926 | Alexandria, LA | 45275 |
| 927 | Manchester, NJ | 45115 |
| 928 | Fairfield, OH | 44907 |
| 929 | Blacksburg, VA | 44826 |
| 930 | York, PA | 44800 |
| 931 | North Lauderdale, FL | 44794 |
| 932 | Plainfield, IL | 44762 |
| 933 | Burlington, VT | 44743 |
| 934 | Fond du Lac, WI | 44678 |
| 935 | Mount Laurel, NJ | 44633 |
| 936 | West Lafayette, IN | 44595 |
| 937 | Palm Springs, CA | 44575 |
| 938 | The Colony, TX | 44534 |
| 939 | Moorhead, MN | 44505 |
| 940 | Mankato, MN | 44488 |
| 941 | Salem, MA | 44480 |
| 942 | Lombard, IL | 44476 |
| 943 | Freeport, NY | 44472 |
| 944 | Lompoc, CA | 44444 |
| 945 | Gallatin, TN | 44431 |
| 946 | Wallingford, CT | 44396 |
| 947 | Rohnert Park, CA | 44390 |
| 948 | Wentzville, MO | 44372 |
| 949 | Wilkes Barre, PA | 44328 |
| 950 | El Centro, CA | 44322 |
| 951 | Bloomfield, MI | 44253 |
| 952 | Oakland Park, FL | 44229 |
| 953 | Saginaw, MI | 44202 |
| 954 | Hilo, HI | 44186 |
| 955 | Greenacres, FL | 43990 |
| 956 | Concord, NH | 43976 |
| 957 | Altoona, PA | 43963 |
| 958 | Campbell, CA | 43959 |
| 959 | Pittsfield, MA | 43927 |
| 960 | Meridian, MI | 43916 |
| 961 | San Bruno, CA | 43908 |
| 962 | North Brunswick, NJ | 43905 |
| 963 | Leominster, MA | 43782 |
| 964 | Berkeley, NJ | 43754 |
| 965 | Linden, NJ | 43738 |
| 966 | Shakopee, MN | 43698 |
| 967 | North Miami Beach, FL | 43676 |
| 968 | Sherman, TX | 43645 |
| 969 | Eagle Mountain, UT | 43623 |
| 970 | Danville, CA | 43582 |
| 971 | Hagerstown, MD | 43527 |
| 972 | Bremerton, WA | 43505 |
| 973 | Southington, CT | 43501 |
| 974 | Hickory, NC | 43490 |
| 975 | Waipahu, HI | 43485 |
| 976 | Sumter, SC | 43463 |
| 977 | Huber Heights, OH | 43439 |
| 978 | Oakley, CA | 43357 |
| 979 | Hillsborough, NJ | 43276 |
| 980 | Woonsocket, RI | 43240 |
| 981 | Jefferson City, MO | 43228 |
| 982 | Buffalo Grove, IL | 43212 |
| 983 | Ormond Beach, FL | 43080 |
| 984 | Commerce, MI | 43058 |
| 985 | Clermont, FL | 43021 |
| 986 | Moline, IL | 42985 |
| 987 | Coppell, TX | 42983 |
| 988 | Puyallup, WA | 42973 |
| 989 | Edmonds, WA | 42853 |
| 990 | Manassas, VA | 42772 |
| 991 | Beverly, MA | 42670 |
| 992 | Spanish Fork, UT | 42602 |
| 993 | Danville, VA | 42590 |
| 994 | Newnan, GA | 42549 |
| 995 | Midland, MI | 42547 |
| 996 | Belleville, IL | 42404 |
| 997 | Gainesville, GA | 42296 |
| 998 | Rancho Palos Verdes, CA | 42287 |
| 999 | Peachtree Corners, GA | 42243 |
| 1000 | Lake Worth Beach, FL | 42219 |
2023.02.09 19:03 Prize_Celebration_33 A game from the other night. I don't think team switching was the issue.
 | submitted by Prize_Celebration_33 to Chivalry2 [link] [comments] |
2022.11.27 06:03 madrillix [Spoilers] South Korea vs United States OWC 2022 Grand Finals Post-Match Discussion
Match 1: South Korea 1 - 7 United States
Match 2: United States 7 - 4 South Korea
Congratulations to Team United States for becoming the osu! World Cup 2022 Champions!
| South Korea | United States | ||
|---|---|---|---|
| [Karcher] | 1.682 | Utami | 1.991 |
| worst hr player | 1.226 | im a fancy lad | 1.770 |
| Zeisen- | 1.206 | Decaten | 1.678 |
| Amamya Kokoro | 1.172 | Rektygon | 1.664 |
| Peresia | 1.029 | tekkito | 1.251 |
| Nopekjk | 0.813 | Monko2k | 1.173 |
| Allegrissimo | 0.460 | BoshyMan741 | 0.883 |
| Nongsa | 0.392 | Sawada | 0.671 |
| United States | South Korea | ||
|---|---|---|---|
| Utami | 2.011 | worst hr player | 2.080 |
| Decaten | 1.697 | [Karcher] | 2.030 |
| im a fancy lad | 1.652 | Zeisen- | 1.358 |
| Rektygon | 1.643 | Amamya Kokoro | 1.177 |
| tekkito | 1.356 | Nopekjk | 1.064 |
| Monko2k | 1.209 | Peresia | 1.039 |
| BoshyMan741 | 0.689 | Allegrissimo | 0.676 |
| Sawada | 0.571 | Nongsa | 0.390 |
Match 1
South Korea
FM2 Iyowa feat.KAFU - Kyu-Kurarin (7_7 bootleg) [0_0]
DT2 -45 - yoshikawa45 vs. siesta45 Battle of HongKong [Para Bellum]
United States
NM1 TUYU - Under Kids [Rebellion]
HR3 The Fearless Flyers - Assassin [lets go]
Map 1 (picked by South Korea)
FM1 Falcom Sound Team jdk - Satisfied Madness [Abyss]
2:52 — 262 BPM — 7.2★ — 1,321x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Utami +HR | 1,016,722 | 98.76% | 1,289x | 1 |
| tekkito +HD | 885,465 | 99.68% | 1,166x | 1 |
| im a fancy lad | 825,483 | 99.47% | 1,158x | 3 |
| Decaten | 637,398 | 99.38% | 890x | 1 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] +HR | 1,072,681 | 99.29% | 1,320x | 0 |
| worst hr player +HD | 819,857 | 99.47% | 1,089x | 1 |
| Zeisen- | 516,982 | 99.31% | 661x | 5 |
| Amamya Kokoro | 499,002 | 98.85% | 665x | 3 |
United States wins by 456,546
South Korea 0 - (1) United States
Map 2 (picked by United States)
HD2 Dark PHOENiX - Shoujo ga Mita Nihon no Genfuukei [Phantasm]
2:49 — 192 BPM — 6.6★ — 1,130x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| BoshyMan741 | 623,502 | 97.50% | 749x | 4 |
| Utami | 619,184 | 97.39% | 761x | 5 |
| tekkito | 488,920 | 97.87% | 473x | 6 |
| im a fancy lad | 415,132 | 96.81% | 452x | 19 |
| South Korea | Score | Accuracy | Combo | Miss |
| worst hr player | 470,727 | 98.49% | 446x | 9 |
| Nopekjk | 416,803 | 96.76% | 415x | 11 |
| Amamya Kokoro | 392,220 | 97.41% | 381x | 16 |
| [Karcher] | 340,874 | 95.67% | 324x | 11 |
United States wins by 526,114
South Korea 0 - (2) United States
Map 3 (picked by South Korea)
HR1 KINEMA106 - Nightmare Party [Poi]
3:32 — 200 BPM — 7.5★ — 1,544x| South Korea | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| [Karcher] | 1,066,009 | 99.13% | 1,544x | 0 |
| Zeisen- | 620,288 | 99.51% | 725x | 2 |
| Amamya Kokoro | 486,775 | 97.52% | 595x | 2 |
| Peresia | 347,724 | 97.26% | 249x | 8 |
| United States | Score | Accuracy | Combo | Miss |
| Rektygon | 696,255 | 99.28% | 776x | 0 |
| Utami | 590,896 | 98.47% | 831x | 3 |
| Decaten | 446,039 | 97.79% | 603x | 7 |
| Monko2k | 353,382 | 97.64% | 249x | 12 |
South Korea wins by 434,224
South Korea (1) - 2 United States
Map 4 (picked by United States)
DT3 Demetori - Kuuchuu ni Shizumu Kishinjou ~ Counter-Clock World [Lunatic Collab]
3:49 — 278 BPM — 7.6★ — 2,232x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Rektygon | 1,087,352 | 97.10% | 2,231x | 0 |
| Utami | 989,252 | 98.40% | 2,006x | 2 |
| Sawada | 695,444 | 97.55% | 1,546x | 2 |
| Monko2k | 660,437 | 96.50% | 1,345x | 3 |
| South Korea | Score | Accuracy | Combo | Miss |
| Peresia | 712,867 | 94.07% | 1,751x | 1 |
| Zeisen- | 579,271 | 97.58% | 1,131x | 3 |
| Nongsa | 406,454 | 95.03% | 715x | 4 |
| [Karcher] | 398,873 | 96.01% | 681x | 3 |
United States wins by 1,335,020
South Korea 1 - (3) United States
Map 5 (picked by South Korea)
NM3 JYOCHO - Kirei na Sankaku, Asahi Ningen [Special]
2:34 — 150 BPM — 7.3★ — 1,295x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| im a fancy lad | 922,751 | 98.94% | 1,252x | 4 |
| Utami | 462,857 | 95.73% | 688x | 8 |
| tekkito | 432,219 | 98.26% | 505x | 5 |
| Decaten | 398,965 | 97.28% | 440x | 16 |
| South Korea | Score | Accuracy | Combo | Miss |
| worst hr player | 459,055 | 96.85% | 539x | 9 |
| [Karcher] | 350,137 | 95.79% | 377x | 19 |
| Nopekjk | 332,691 | 95.15% | 378x | 15 |
| Zeisen- | 238,350 | 92.51% | 279x | 45 |
United States wins by 836,559
South Korea 1 - (4) United States
Map 6 (picked by United States)
NM2 Raimukun - Myths Orbis [Triangulum Majus]
2:13 — 210 BPM — 7.9★ — 1,761x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Decaten | 880,801 | 97.69% | 1,692x | 15 |
| Utami | 842,851 | 98.70% | 1,602x | 6 |
| Monko2k | 462,954 | 97.66% | 849x | 12 |
| Rektygon | 339,233 | 95.72% | 559x | 18 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] | 517,383 | 95.28% | 1,140x | 48 |
| Zeisen- | 351,771 | 94.98% | 597x | 42 |
| Peresia | 313,892 | 95.85% | 478x | 23 |
| Allegrissimo | 160,121 | 83.84% | 520x | 140 |
United States wins by 1,182,672
South Korea 1 - (5) United States
Map 7 (picked by South Korea)
HR2 Rabbit House - Sanctuary [jesse we have to map for owc2022]
2:40 — 188 BPM — 7.5★ — 1,328x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| im a fancy lad | 697,395 | 97.38% | 954x | 0 |
| Decaten | 656,628 | 96.64% | 917x | 4 |
| Rektygon | 607,505 | 96.66% | 735x | 1 |
| Utami | 532,529 | 96.53% | 726x | 5 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] | 579,883 | 96.62% | 677x | 0 |
| Amamya Kokoro | 464,032 | 97.49% | 512x | 5 |
| Zeisen- | 371,339 | 96.79% | 410x | 6 |
| Allegrissimo | 310,187 | 94.67% | 394x | 10 |
United States wins by 768,616
South Korea 1 - (6) United States
Map 8 (picked by United States)
DT1 Aoi Eir - Yurari [Expert]
2:27 — 267 BPM — 7.8★ — 1,222x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Rektygon | 763,760 | 97.44% | 840x | 1 |
| Decaten | 750,589 | 97.63% | 814x | 1 |
| Utami | 710,202 | 97.67% | 670x | 1 |
| Monko2k | 636,224 | 97.28% | 695x | 4 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] | 603,986 | 98.17% | 528x | 3 |
| Amamya Kokoro | 583,394 | 96.46% | 669x | 3 |
| Zeisen- | 570,775 | 99.39% | 378x | 2 |
| Peresia | 515,786 | 97.69% | 467x | 4 |
United States wins by 586,834
South Korea 1 - (7) United States
Match 2
United States
NM1 TUYU - Under Kids [Rebellion]
HR3 The Fearless Flyers - Assassin [lets go]
South Korea
DT2 -45 - yoshikawa45 vs. siesta45 Battle of HongKong [Para Bellum]
FM2 Iyowa feat.KAFU - Kyu-Kurarin (7_7 bootleg) [0_0]
Map 1 (picked by South Korea)
HD1 FELT - Summer Fever [Shimmering Sky]
3:47 — 240 BPM — 7.1★ — 1,712x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| im a fancy lad | 1,055,010 | 99.44% | 1,712x | 0 |
| Utami | 1,025,142 | 98.68% | 1,712x | 0 |
| Decaten | 1,010,030 | 98.91% | 1,681x | 1 |
| tekkito | 567,282 | 98.48% | 987x | 6 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] | 637,544 | 97.91% | 1,055x | 4 |
| worst hr player | 558,909 | 99.10% | 862x | 3 |
| Amamya Kokoro | 462,021 | 98.15% | 499x | 4 |
| Nopekjk | 438,207 | 97.44% | 608x | 8 |
United States wins by 1,560,783
United States (1) - 0 South Korea
Map 2 (picked by United States)
DT3 Demetori - Kuuchuu ni Shizumu Kishinjou ~ Counter-Clock World [Lunatic Collab]
3:49 — 278 BPM — 7.6★ — 2,232x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Utami | 913,441 | 96.45% | 2,016x | 0 |
| Monko2k | 675,580 | 96.36% | 1,544x | 1 |
| Rektygon | 651,385 | 96.74% | 1,106x | 1 |
| Sawada | 507,690 | 97.58% | 750x | 3 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] | 653,260 | 96.08% | 1,348x | 3 |
| Zeisen- | 558,451 | 97.59% | 1,153x | 3 |
| Peresia | 431,938 | 94.88% | 909x | 13 |
| Nongsa | 346,582 | 93.18% | 695x | 10 |
United States wins by 757,865
United States (2) - 0 South Korea
Map 3 (picked by South Korea)
HR1 KINEMA106 - Nightmare Party [Poi]
3:32 — 200 BPM — 7.5★ — 1,544x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Rektygon | 704,284 | 98.72% | 980x | 1 |
| Utami | 690,474 | 98.19% | 1,070x | 2 |
| Decaten | 624,594 | 97.35% | 1,042x | 8 |
| BoshyMan741 | 439,801 | 97.11% | 502x | 5 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] | 976,398 | 99.05% | 1,456x | 1 |
| Amamya Kokoro | 478,283 | 98.35% | 551x | 7 |
| Zeisen- | 471,802 | 98.62% | 560x | 7 |
| Peresia | 471,662 | 97.57% | 560x | 6 |
United States wins by 61,008
United States (3) - 0 South Korea
Map 4 (picked by United States)
NM2 Raimukun - Myths Orbis [Triangulum Majus]
2:13 — 210 BPM — 7.9★ — 1,761x| South Korea | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| [Karcher] | 931,383 | 98.59% | 1,720x | 12 |
| Zeisen- | 722,063 | 94.01% | 1,588x | 45 |
| Peresia | 431,519 | 95.48% | 931x | 16 |
| Allegrissimo | 329,572 | 92.26% | 678x | 45 |
| United States | Score | Accuracy | Combo | Miss |
| Decaten | 573,891 | 98.10% | 860x | 3 |
| Utami | 538,583 | 96.55% | 1,150x | 23 |
| Rektygon | 534,730 | 97.13% | 1,019x | 9 |
| Monko2k | 315,157 | 96.38% | 377x | 23 |
South Korea wins by 452,176
United States 3 - (1) South Korea
Map 5 (picked by South Korea)
FM4 METAROOM - SPIKEY BOI [MUSH (THE FINALE)]
2:47 — 182 BPM — 6.8★ — 1,571x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Rektygon +HR | 608,010 | 96.11% | 1,105x | 1 |
| Utami +HR | 537,126 | 94.98% | 875x | 3 |
| im a fancy lad +HR | 529,885 | 97.68% | 693x | 6 |
| tekkito +HD | 454,428 | 96.15% | 708x | 3 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] +HR | 577,560 | 96.23% | 1,056x | 6 |
| worst hr player +HD | 566,144 | 98.60% | 705x | 4 |
| Nopekjk | 495,049 | 96.67% | 924x | 3 |
| Amamya Kokoro | 365,911 | 94.74% | 605x | 10 |
United States wins by 124,785
United States (4) - 1 South Korea
Map 6 (picked by United States)
DT1 Aoi Eir - Yurari [Expert]
2:27 — 267 BPM — 7.8★ — 1,222x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Monko2k | 1,141,211 | 98.59% | 1,221x | 0 |
| Utami | 1,102,783 | 97.63% | 1,222x | 0 |
| Decaten | 834,409 | 97.94% | 946x | 1 |
| Rektygon | 816,852 | 98.65% | 850x | 0 |
| South Korea | Score | Accuracy | Combo | Miss |
| [Karcher] | 1,127,950 | 98.13% | 1,222x | 0 |
| Zeisen- | 734,012 | 98.74% | 657x | 2 |
| Peresia | 718,206 | 98.44% | 808x | 2 |
| Amamya Kokoro | 511,154 | 96.98% | 509x | 7 |
United States wins by 803,933
United States (5) - 1 South Korea
Map 7 (picked by South Korea)
FM3 yak_won - Wind Tales [Extreme]
2:26 — 150 BPM — 6.4★ — 1,382x| South Korea | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| worst hr player | 966,757 | 98.99% | 1,382x | 0 |
| [Karcher] +HR | 381,276 | 96.52% | 395x | 11 |
| Nopekjk +HD | 307,664 | 94.64% | 407x | 25 |
| Allegrissimo +HR | 280,902 | 93.84% | 341x | 29 |
| United States | Score | Accuracy | Combo | Miss |
| Utami | 558,243 | 97.76% | 699x | 8 |
| Rektygon +HR | 480,811 | 97.02% | 656x | 9 |
| im a fancy lad | 449,167 | 96.67% | 671x | 15 |
| BoshyMan741 +HD | 305,229 | 94.53% | 315x | 28 |
South Korea wins by 143,149
United States 5 - (2) South Korea
Map 8 (picked by United States)
NM4 DJ Raisei - T.R.A.P. [Vesperal Singularity]
2:01 — 203 BPM — 7.7★ — 1,241x| South Korea | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| worst hr player | 671,114 | 95.71% | 1,005x | 3 |
| [Karcher] | 425,908 | 95.40% | 631x | 0 |
| Zeisen- | 405,752 | 94.38% | 656x | 8 |
| Amamya Kokoro | 389,570 | 94.47% | 545x | 7 |
| United States | Score | Accuracy | Combo | Miss |
| Decaten | 653,616 | 97.35% | 941x | 0 |
| tekkito | 421,043 | 96.41% | 558x | 6 |
| im a fancy lad | 403,106 | 96.36% | 541x | 7 |
| Utami | 295,280 | 89.18% | 600x | 35 |
South Korea wins by 119,299
United States 5 - (3) South Korea
Map 9 (picked by South Korea)
NM5 II-L ft.amelie xoxo - THE EARTH [Zeta]
2:01 — 128 BPM — 6.8★ — 880x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| Utami | 852,671 | 95.33% | 876x | 0 |
| im a fancy lad | 525,107 | 97.23% | 488x | 2 |
| tekkito | 338,665 | 96.39% | 220x | 4 |
| Decaten | 329,190 | 93.42% | 274x | 12 |
| South Korea | Score | Accuracy | Combo | Miss |
| worst hr player | 555,681 | 96.95% | 531x | 1 |
| Zeisen- | 306,026 | 94.03% | 261x | 12 |
| Nopekjk | 294,711 | 93.50% | 266x | 15 |
| Amamya Kokoro | 241,305 | 92.84% | 198x | 24 |
United States wins by 647,910
United States (6) - 3 South Korea
Map 10 (picked by United States)
HR2 Rabbit House - Sanctuary [jesse we have to map for owc2022]
2:40 — 188 BPM — 7.5★ — 1,328x| South Korea | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| [Karcher] | 1,015,908 | 97.93% | 1,318x | 0 |
| Amamya Kokoro | 615,069 | 97.82% | 804x | 1 |
| Zeisen- | 346,892 | 96.20% | 323x | 10 |
| Allegrissimo | 265,677 | 93.26% | 344x | 15 |
| United States | Score | Accuracy | Combo | Miss |
| Decaten | 569,519 | 95.90% | 863x | 7 |
| im a fancy lad | 566,438 | 97.36% | 721x | 0 |
| Rektygon | 555,167 | 96.44% | 765x | 5 |
| Utami | 439,850 | 96.59% | 469x | 2 |
South Korea wins by 112,572
United States 6 - (4) South Korea
Map 11 (picked by South Korea)
NM3 JYOCHO - Kirei na Sankaku, Asahi Ningen [Special]
2:34 — 150 BPM — 7.3★ — 1,295x| United States | Score | Accuracy | Combo | Miss |
|---|---|---|---|---|
| tekkito | 536,975 | 96.79% | 743x | 13 |
| Utami | 412,643 | 95.25% | 494x | 13 |
| im a fancy lad | 329,353 | 95.53% | 340x | 18 |
| Decaten | 318,226 | 95.44% | 346x | 23 |
| South Korea | Score | Accuracy | Combo | Miss |
| worst hr player | 632,953 | 97.88% | 884x | 2 |
| [Karcher] | 337,918 | 94.81% | 451x | 22 |
| Nopekjk | 318,238 | 95.18% | 340x | 26 |
| Amamya Kokoro | 245,320 | 93.17% | 304x | 35 |
United States wins by 62,768
United States (7) - 4 South Korea
2022.11.15 01:20 Sdgedfegw EUW server rank 1 by month (July 2010 - November 2022)
Source: web archive of leagueoflegends.com, lolking.net, op.gg, ff.gg, lolsummoners.com
submitted by Sdgedfegw to leagueoflegends [link] [comments]
| Date | Summoner | League | ELO/LP | Win | Losses | Win% |
|---|---|---|---|---|---|---|
| 2010-07 | ASHEbringer | Platinum | 1738 | 48 | 14 | 77.42% |
| 2010-08 | Sizee | Platinum | 1833 | 88 | 42 | 67.69% |
| 2010-09 | Mellisan | Platinum | 1959 | 245 | 179 | 57.78% |
| 2010-10 | YellOwStaR | Platinum | 1995 | 246 | 149 | 62.28% |
| 2010-11 | YellOwStaR | Platinum | 2086 | 294 | 179 | 62.16% |
| 2010-12 | sOAZ | Platinum | 2089 | 295 | 201 | 59.48% |
| 2011-01 | Wickd | Platinum | 2245 | 578 | 438 | 56.89% |
| 2011-02 | Wickd | Platinum | 2279 | 657 | 505 | 56.54% |
| 2011-03 | YellOwStaR | Platinum | 2280 | 797 | 609 | 56.69% |
| 2011-04 | Linak | Platinum | 2318 | 465 | 330 | 58.49% |
| 2011-05 | SurvoOlt | Platinum | 2336 | 584 | 495 | 54.12% |
| 2011-06 | Candy Panda | Platinum | 2444 | 270 | 181 | 59.87% |
| 2011-07 | eWAVE Taktloss | Platinum | 2473 | 350 | 239 | 59.42% |
| 2011-08 | yellowpete | Platinum | 2462 | 237 | 132 | 64.23% |
| 2011-09 | yellowpete | Platinum | 2507 | 279 | 153 | 64.58% |
| 2011-10 | Se1F3RZ | Diamond | 2126 | 41 | 15 | 73.21% |
| 2011-11 | SR kev1n | Diamond | 2307 | 180 | 114 | 61.22% |
| 2011-12 | Kerp | Diamond | 2366 | 145 | 88 | 62.23% |
| 2012-01 | Kerp | Diamond | 2412 | 166 | 105 | 61.25% |
| 2012-01 | HawkDon | Diamond | 2412 | 468 | 367 | 56.05% |
| 2012-02 | ALTERNATE F Lord | Diamond | 2472 | 234 | 146 | 61.58% |
| 2012-03 | HawkDon RV | Diamond | 2534 | 516 | 405 | 56.03% |
| 2012-04 | ALTERNATE F Lord | Diamond | 2613 | 353 | 246 | 58.93% |
| 2012-04 | Kerp | Diamond | 2613 | 270 | 187 | 59.08% |
| 2012-05 | ALTERNATE F Lord | Diamond | 2806 | 392 | 266 | 59.57% |
| 2012-06 | ALTERNATE F Lord | Diamond | 2831 | 399 | 270 | 59.64% |
| 2012-07 | ALTERNATE F Lord | Diamond | 2850 | 404 | 274 | 59.59% |
| 2012-08 | ATN ForellenLord | Diamond | 2922 | 451 | 302 | 59.89% |
| 2012-09 | ATN ForellenLord | Diamond | 3002 | 488 | 327 | 59.88% |
| 2012-10 | ATN ForellenLord | Diamond | 3007 | 498 | 336 | 59.71% |
| 2012-11 | ATN ForellenLord | Diamond | 3018 | 500 | 337 | 59.74% |
| 2012-12 | ATN ForellenLord | Diamond | 2433 | 41 | 22 | 65.08% |
| 2013-01 | Wickd | Diamond | 2489 | 207 | 156 | 57.02% |
| 2013-02 | Entenzwerg | Challenger | 690 | 444 | 394 | 52.98% |
| 2013-03 | Kerp | Challenger | 965 | 183 | 128 | 58.84% |
| 2013-04 | GG BenQ Alex Ich | Challenger | 872 | 221 | 149 | 59.73% |
| 2013-05 | Shook v2 | Challenger | 798 | 379 | 272 | 58.22% |
| 2013-06 | WhiteKnight108 | Challenger | 853 | 677 | 531 | 56.04% |
| 2013-07 | HawkDon TPS | Challenger | 830 | 608 | 495 | 55.12% |
| 2013-08 | WhiteKnight108 | Challenger | 950 | 757 | 578 | 56.70% |
| 2013-09 | WhiteKnight108 | Challenger | 970 | 759 | 579 | 56.73% |
| 2013-10 | WhiteKnight108 | Challenger | 1060 | 768 | 581 | 56.93% |
| 2013-11 | WhiteKnight108 | Challenger | 1167 | 781 | 585 | 57.17% |
| 2013-12 | WhiteKnight108 | Challenger | 1058 | 787 | 595 | 56.95% |
| 2014-01 | loulex | Challenger | 753 | 97 | 74 | 56.73% |
| 2014-02 | GaBaNo | Challenger | 1142 | 130 | 76 | 63.11% |
| 2014-03 | CW FORG1VEN247 | Challenger | 1276 | 115 | 66 | 63.54% |
| 2014-04 | HELLAS FORG1VEN | Challenger | 1552 | 164 | 103 | 61.42% |
| 2014-05 | Apdo Dog2 | Challenger | 1688 | 169 | 69 | 71.01% |
| 2014-06 | Apdo Dog2 | Challenger | 1793 | 182 | 74 | 71.09% |
| 2014-07 | Apdo Dog2 | Challenger | 1752 | 194 | 79 | 71.06% |
| 2014-08 | Apdo Dog2 | Challenger | 1606 | 210 | 88 | 70.47% |
| 2014-09 | Apdo Dog2 | Challenger | 1445 | 220 | 96 | 69.62% |
| 2014-10 | Apdo Dog2 | Challenger | 1480 | 224 | 96 | 70.00% |
| 2014-11 | Apdo Dog2 | Challenger | 1485 | 225 | 96 | 70.09% |
| 2014-12 | Apdo Dog2 | Challenger | 1427 | 231 | 100 | 69.79% |
| 2015-01 | GG BenQ Cabo | Challenger | 50 | 43 | 16 | 72.88% |
| 2015-02 | EL Rekkles | Challenger | 1220 | 122 | 65 | 65.24% |
| 2015-03 | ROCCAT Nukedùck | Challenger | 1284 | 268 | 194 | 58.01% |
| 2015-04 | ROCCAT Nukedùck | Challenger | 1314 | 271 | 196 | 58.03% |
| 2015-05 | FNC Rekkles | Challenger | 1313 | 413 | 271 | 60.38% |
| 2015-06 | FNC Rekkles | Challenger | 1346 | 416 | 271 | 60.55% |
| 2015-07 | SirNukesAlot | Challenger | 1324 | 696 | 568 | 55.06% |
| 2015-08 | SirNukesAlot | Challenger | 1313 | 698 | 569 | 55.09% |
| 2015-09 | CW Freeze | Challenger | 1402 | 255 | 91 | 73.70% |
| 2015-10 | CW Freeze | Challenger | 1359 | 255 | 94 | 73.07% |
| 2015-11 | CW Freeze | Challenger | 1337 | 255 | 95 | 72.86% |
| 2015-12 | Likkrit | Challenger | 1346 | 1134 | 966 | 54.00% |
| 2016-01 | CaedreI | Challenger | 711 | 79 | 37 | 68.10% |
| 2016-02 | Gilius 1v9 | Challenger | 1188 | 120 | 54 | 68.97% |
| 2016-03 | TEAM24SEVEN | Challenger | 1378 | 158 | 51 | 75.60% |
| 2016-04 | TEAM24SEVEN | Challenger | 1350 | 160 | 53 | 75.12% |
| 2016-05 | Hans sama | Challenger | 1307 | 166 | 81 | 67.21% |
| 2016-06 | VIT Mightybear | Challenger | 1309 | 212 | 115 | 64.83% |
| 2016-07 | ESG MagiFelix | Challenger | 1298 | 394 | 290 | 57.60% |
| 2016-08 | ESG MagiFelix | Challenger | 1289 | 396 | 292 | 57.56% |
| 2016-09 | RingelKing | Challenger | 1296 | 236 | 130 | 64.48% |
| 2016-10 | Jiizukéé | Challenger | 1255 | 224 | 107 | 67.67% |
| 2016-11 | KlREI | Challenger | 1268 | 668 | 514 | 56.51% |
| 2016-12 | NIUR | Challenger | 1202 | 99 | 54 | 64.71% |
| 2017-01 | Taikki | Challenger | 1047 | 116 | 72 | 61.70% |
| 2017-02 | Jiizuké | Challenger | 1198 | 214 | 154 | 58.15% |
| 2017-03 | - | Challenger | - | - | - | - |
| 2017-04 | - | Challenger | - | - | - | - |
| 2017-05 | TeamNisqy | Challenger | 1179 | 230 | - | - |
| 2017-06 | PSG WhiteKnight | Challenger | 1205 | 644 | - | - |
| 2017-07 | RB Thal | Challenger | 1318 | 354 | - | - |
| 2017-08 | Steven Liv | Challenger | 1302 | 238 | 139 | 63.13% |
| 2017-09 | Sheriff1 | Challenger | 1219 | 683 | 575 | 54.29% |
| 2017-10 | Kirei sama | Challenger | 1215 | 713 | 622 | 53.41% |
| 2017-11 | Kirei sama | Challenger | 1217 | 714 | 623 | 53.40% |
| 2017-12 | MagiFaker | Challenger | 1241 | 681 | 578 | 54.09% |
| 2018-01 | ScarletRedHands | Challenger | 289 | 81 | 53 | 60.45% |
| 2018-02 | GIA Deádly | Challenger | 1174 | 169 | 117 | 59.09% |
| 2018-03 | WooIite | Challenger | 1300 | 191 | 124 | 60.63% |
| 2018-04 | ELIAS LIPP | Challenger | 1267 | 155 | 70 | 68.89% |
| 2018-05 | EikaHoon | Challenger | 1224 | 638 | 565 | 53.03% |
| 2018-06 | Kirei sama | Challenger | 1248 | 677 | 583 | 53.73% |
| 2018-07 | VGIA Yoppa | Challenger | 1279 | 631 | 532 | 54.26% |
| 2018-08 | MagiFaker | Challenger | 1359 | 214 | 129 | 62.39% |
| 2018-09 | MagiFaker | Challenger | 1336 | - | - | - |
| 2018-10 | MikyXD | Challenger | 1291 | - | - | - |
| 2018-11 | MikyXD | Challenger | 1286 | 903 | 662 | 57.70% |
| 2018-12 | MagiiFelix | Challenger | 1040 | - | - | - |
| 2019-01 | Flanko | Master | 226 | 49 | 31 | 61.25% |
| 2019-02 | G2 Jerkz | Challenger | 1248 | 160 | 108 | 59.70% |
| 2019-03 | Kirei sama | Challenger | 1074 | 321 | 222 | 59.12% |
| 2019-04 | the inescapable | Challenger | 1336 | 314 | 210 | 59.92% |
| 2019-05 | Blomster Finn | Challenger | 1416 | 261 | 193 | 57.49% |
| 2019-06 | Doss The Boss | Challenger | 1584 | 217 | 76 | 74.06% |
| 2019-07 | Doss The Boss | Challenger | 1649 | 226 | 78 | 74.34% |
| 2019-08 | TheShackledOne | Challenger | 1605 | 677 | 552 | 55.09% |
| 2019-09 | TheShackledOne | Challenger | 1589 | 691 | 565 | 55.02% |
| 2019-10 | JUGKlNG | Challenger | 1623 | 179 | 74 | 70.75% |
| 2019-11 | TheUnshackIedone | Challenger | 1408 | 716 | 588 | 54.91% |
| 2019-12 | - | Challenger | - | - | - | - |
| 2020-01 | MagiFelix5 | Challenger | 1732 | 164 | 126 | 56.55% |
| 2020-02 | Razørk Activoo | Challenger | 1573 | - | - | - |
| 2020-03 | Agurin | Challenger | 1553 | 304 | 233 | 56.61% |
| 2020-04 | Agurin | Challenger | 1603 | - | - | - |
| 2020-05 | illumi zoldyck1 | Challenger | 1687 | 206 | 116 | 63.98% |
| 2020-06 | Kite Machine | Challenger | 1615 | 391 | 292 | 57.25% |
| 2020-07 | Legendary Manaty | Challenger | 1582 | 253 | 167 | 60.24% |
| 2020-08 | Agurin | Challenger | 1577 | 477 | 374 | 56.05% |
| 2020-09 | Agurin | Challenger | 1532 | 484 | 382 | 55.89% |
| 2020-10 | HAHHAHAHAHAHXDDD | Challenger | 1549 | 270 | 161 | 62.65% |
| 2020-11 | HAHHAHAHAHAHXDDD | Challenger | 1533 | 270 | 162 | 62.50% |
| 2020-12 | HAHHAHAHAHAHXDDD | Challenger | 1465 | 271 | 167 | 61.87% |
| 2021-01 | Agurin | Challenger | 1118 | 106 | 67 | 61.27% |
| 2021-02 | Fujie smurf acc | Challenger | 1272 | 69 | 40 | 63.30% |
| 2021-03 | AST MagiFelix | Challenger | 1301 | 230 | 172 | 57.21% |
| 2021-04 | SSU Mersa | Challenger | 1311 | 259 | 187 | 58.07% |
| 2021-05 | Eventual victory | Challenger | 1461 | 110 | - | - |
| 2021-06 | Razørk Activoo | Challenger | 1487 | 216 | 138 | 61.02% |
| 2021-07 | Razørk Activoo | Challenger | 1518 | 239 | 158 | 60.20% |
| 2021-08 | bob kong | Challenger | 1483 | 327 | 240 | 57.67% |
| 2021-09 | ZWYRØØ | Challenger | 1559 | 735 | 647 | 53.18% |
| 2021-10 | Raiden Shogun C2 | Challenger | 1656 | 294 | 179 | 62.16% |
| 2021-11 | Raiden Shogun C2 | Challenger | 1747 | 304 | 183 | 62.42% |
| 2021-12 | Dzukill | Challenger | 1759 | 552 | 446 | 55.31% |
| 2022-01 | v diplex | Challenger | 1449 | 140 | 97 | 59.07% |
| 2022-02 | MagiFelix5 | Challenger | 1988 | 281 | 213 | 56.88% |
| 2022-03 | school phobia | Challenger | 1955 | 235 | 155 | 60.26% |
| 2022-04 | Built | Challenger | 1747 | 202 | 124 | 61.96% |
| 2022-05 | MagiFelix5 | Challenger | 1733 | 665 | 542 | 55.10% |
| 2022-06 | MagiFelix5 | Challenger | 1601 | - | - | - |
| 2022-07 | school phobia | Challenger | 1696 | 439 | 330 | 57.09% |
| 2022-08 | school phobia | Challenger | 1566 | - | - | - |
| 2022-09 | BiIly Butcher | Challenger | 1568 | 760 | 668 | 53.22% |
| 2022-10 | Agurin | Challenger | 1692 | 660 | 557 | 54.23% |
| 2022-11 | Agurin | Challenger | 1695 | 662 | 558 | 54.26% |
2022.11.11 12:03 remote-enthusiast Collected 95 jobs, tech + non-tech
- Junior Technical Editor \)link\) Fors Marsh · USA non-tech, writing, full-time
- Seniostaff Application Security Engineer \)link\) Shopify · USD 30,000 - 110,000 · Vancouver, BC, Canada engineering, remote, americas
- Communications Coordinator For Trailblazing Sustainable Fashion Nonprofit \)link\) The Fashion Connection · District of Columbia, US tech, sales-marketing
- Devops Engineer \)link\) Altoros · Poland - Remote engineering, 736
- Remote Bilingual Senior Copywriter \)link\) PACO Collective sales-marketing, copywriting, journalism, advertising, full-time, usa
- Coding Instructor \)link\) Mimo · Full-time · USA n-a, all-others, full-time, us
- Remote Business Manager Assistant \)link\) Acosta non-tech, assistant, data-entry, full-time, usa
- Remote Manager Of Design \)link\) Brado design, project-management, photoshop, illustration, adobe-creative-suite, social-media, full-time, usa
- Senior Ux Designer \)link\) Clover Health · Remote engineering
- Director Of Finance and Administration \)link\) Oregon Rural Action · $85,000 - $100,000 · Oregon, US non-tech
- Remote Senior Editorial Manager \)link\) More Perfect Union tech, editing, journalism, social-media, publishing, full-time, usa
- Remote Social Media Consultant \)link\) A Marie Consultants · $25 · District of Columbia, US sales-marketing
- Senior Devops \)link\) Applied Blockchain · United Kingdom - Remote engineering
- Institutional Giving Manager \)link\) CollegeSpring · CA, US sales-marketing, remote
- Remote Key Account Manager \)link\) DNSimple tech, account-manager, full-time, usa
- Soc Analyst \)link\) HUMAN · USD 45,950 - 68,500 · Tel Aviv engineering, full-time, cyber-crime, owasp, ssh, tls, vulnerabilities, career-development, flex-hours, flex-vacation, home-office-stipend, lunch-meals, israel, analyst-jobs, incident-response-jobs, back-to-job-search
- Member Relations Associate \)link\) Leaders for Climate Action · $32,000 - $40,000 · Berlin, DE non-tech
- Senior Cloud Engineer, Azure \)link\) Trace3 · USD 140,000 - 165,000 · Remote engineering, remote
- Remote Senior Web Designer \)link\) Rewatch design, front-end, css, html, full-time, usa
- Remote Marketing Manager \)link\) Togetherwork sales-marketing, lead-generation, business-management, salesforce, artist, customer-service, full-time, usa
- Staff Security Engineer - Vulnerability Management and Iam \)link\) Mozilla · USD 107,000 - 149,000 · Remote Canada engineering
- Maryland organizer \)link\) Climate XChange Education and Research, Inc. · $49,000 - $53,000 · Maryland, US non-tech, sales-marketing
- Senior Designer \)link\) Block Club · Remote tech
- Litigation Counsel or Senior Litigation Counsel \)link\) Asylum Seeker Advocacy Project (ASAP) · $80,000 - $110,000 · California, US non-tech
- Senior Membership & Learning Associate \)link\) Global Network Initiative · District of Columbia, US non-tech
- Product Security Intern \)link\) Chime · San Francisco, CA engineering
- Action Builder Product Manager \)link\) Action Network · $90,000 - $110,000 · DC, US engineering
- Staff Attorney - Debtors' Prison Project \)link\) Public Justice Foundation · $76,000 · California, US non-tech
- Development Director \)link\) Voters Not Politicians · $75,000 - $90,000 · MI, US sales-marketing, non-tech
- Solution Architect \)link\) Paymentology · London - Dubai - Johannesburg tech, contract, product, asia-only
- Sales and Marketing Manager \)link\) Purnaa · $45,000 - $50,000 · Lalitpur, NP sales-marketing
- Frontend Engineer \)link\) Protect Democracy · $110,077 - $129,502 · District of Columbia, US engineering
- Senior Director Of Creative Development \)link\) United Way of Northern New Jersey · $85,000 · New Jersey, US design, sales-marketing, tech
- Account Executive , Singapore \)link\) DoiT International · Remote Singapore engineering, aws
- Solution Engineer \)link\) Exponent Partners · $85,000 - $115,000 · California, US n-a
- Web Penetration Tester \)link\) JFrog · USD 63,810 - 115,000 · Netanya engineering, full-time, aws, azure, cloud, devops, devsecops, exploits, golang, java, node-js, pentesting, python, reverse-engineering, vulnerabilities, israel, pentesting-jobs, back-to-job-search
- Communications Associate \)link\) Zearn · NY, US tech, sales-marketing
- Security Operations Team Lead \)link\) QAD, Inc. · Monterrey, Mexico engineering
- Senior Independent Ux/ui Designer \)link\) A.Team · Contract · Worldwide design, contractor
- Penetration Tester \)link\) Dionach · USD 63,810 - 110,000 · United Kingdom - Remote engineering, full-time, telecommute, c, crest, iso-27001, javascript, osce, oscp, pci-qsa, pentesting, python, career-development, competitive-pay, flex-hours, startup-environment, united-kingdom, pentesting-jobs, back-to-job-search
- Content Manager \)link\) Moneythink · $65,000 - $75,000 · California, US tech, sales-marketing
- Compliance Director \)link\) League of Conservation Voters · $84,728 - $108,000 · District of Columbia, US non-tech
- Remote Administrative Assistant \)link\) HCA, Hospital Corporation of America non-tech, assistant, full-time, usa
- Aso Manager \)link\) Mimo · Part-time · Worldwide sales-marketing, marketing, part-time
- Spatial Data Analyst, California \)link\) The Nature Conservancy · California, US n-a
- Grant Officer \)link\) Innovations for Poverty Action · District of Columbia, US non-tech
- Staff Data Analyst Global Analytics \)link\) Gympass · USD 123,648 - 154,560 · New York, US engineering
- Frontend / Backend / Full Stack Developer Positions Full Time, Remote \)link\) KoboToolbox · Massachusetts, US engineering
- Remote Sales Development Representative \)link\) Annexus Health, Inc. sales-marketing, lead-generation, salesforce, account-manager, social-media, full-time, usa
- Associate Director Of Events \)link\) Human Rights Campaign · $72,000 - $90,000 · DC, US non-tech, sales-marketing
- Production Designer \)link\) Zearn · NY, US design, sales-marketing
- Vice President, Strategy \)link\) Movement Labs · $180,000 - $220,000 · MA, US non-tech, sales-marketing
- Remote Content Writer \)link\) Ellipsis® sales-marketing, content-writing, publishing, seo, project-management, editing, full-time, uk
- Remote Technical Implementation Manager \)link\) Paymentology tech, devops, plsql, sql, project-management, cloud, freelance-contract, other
- In-house Recruiter \)link\) Immersive Inc. · Europe non-tech, human-resources, contractor
- Community Engagement Specialist For Trailblazing Sustainable Fashion Nonprofit \)link\) The Fashion Connection · District of Columbia, US tech, design, sales-marketing
- Data Analyst \)link\) DirectID · UK engineering, data, full-time
- Senior Writer \)link\) Achieving the Dream · $85,000 - $95,000 · Maryland, US tech, sales-marketing
- Senior Manager, Movement Building Programs \)link\) TSNE · $95,000 - $125,000 · Oregon, US engineering
- Senior Software Engineer Devops, Va - Tis Event Bus \)link\) Ad Hoc · USD 113,900 - 149,040 · Washington, DC engineering, remote
- Freelance Social Media Coordinator \)link\) Fearless Futures · $45 · New York, US n-a
- Manager Of Program and Monitoring \)link\) RestoringVision · $50,000 - $60,000 · California, US non-tech
- Unreal Developer \)link\) Outscal Technologies Inc · 2261 Market Street #4649 San Francisco, CA 94114 engineering, full-time, front-end-programming, anywhere-in-the-world, c
- Lead Azure Data Engineer With Databricks - Empower \)link\) Hitachi Solutions · USD 30,000 - 111,775 · Raleigh, NC, United States engineering, remote-us-based
- Senior Growth Marketer \)link\) Leaders for Climate Action · $40,000 - $60,000 · Berlin, DE sales-marketing, tech
- Senior Manager, Data Science \)link\) Whatnot · Remote - North America engineering
- Information Security Counsel \)link\) Remitly · Seattle, WA engineering, seattle-or-us-remote
- Senior Manager, Ux Design \)link\) Clover Health · Remote engineering
- Finance Manager \)link\) Wildlands Network · $60,000 - $70,000 · Utah, US non-tech, engineering
- Director Of Philanthropic Partnerships - Preference For Candidates In Pacific Timezone, Open To Candidates Across The Us) \)link\) Women's Earth Alliance · $120,000 - $150,000 · California, US sales-marketing, non-tech
- Vice President, Digital organizing \)link\) Movement Labs · $145,000 - $160,000 · MA, US non-tech, engineering, tech
- Communications & Storytelling Specialist \)link\) Achieving the Dream · $60,000 - $70,000 · Maryland, US non-tech, tech, sales-marketing
- Marketing and Website Manager \)link\) Kelley Nonprofit Consulting · $60,000 - $65,000 · Oregon, US tech, sales-marketing
- Director Of Programs \)link\) Grantmakers for Education · Oregon, US sales-marketing, non-tech
- Senior Security Engineer I \)link\) OppFi · Chicago, IL/REMOTE engineering
- Communications Manager \)link\) ConwayStrategic · $65,000 - $85,000 · DC, US non-tech, tech, sales-marketing
- Senior Data Architect W/databricks - Empower \)link\) Hitachi Solutions · San Francisco, CA, United … engineering, remote-us-based
- Outdoor Policy Coordinator \)link\) National Caucus of Environmental Legislators (NCEL) · $55,000 - $60,000 · District of Columbia, US non-tech, tech, sales-marketing
- Senior Data Engineer \)link\) Copy.ai · USD 76,833 - 150,000 · Remote (US/Canada) engineering
- Senior Consultant, Security Research Services - Remote \)link\) Palo Alto Networks · Atlanta, GA, United States engineering, unit-42
- Manager, Finance and Operations \)link\) DigDeep · $75,000 · California, US non-tech, engineering
- Freelance Motion Graphics Designer \)link\) Native Design · Remote design
- Cyber Security Penetration Tester – Anteilig Remote, Voll-/teilzeit \)link\) Bosch Group · USD 63,810 - 115,000 · Köln, Germany engineering, full-time, telecommute, cryptography, ctf, network-security, oscp, pentesting, vulnerabilities, germany, pentesting-jobs, back-to-job-search, w-m-div
- Mlops Engineer \)link\) Jina AI · Berlin engineering, f-m-d
- Design Director \)link\) Interact Brands · Boulder tech
- Senior Data Engineer \)link\) DispatchHealth · USD 150,000 - 175,000 · Remote U.S. engineering
- Director Of Major Gifts \)link\) FairVote · $95,000 - $145,000 · Maryland, US sales-marketing
- Remote Executive Administrative Assistant Iii \)link\) GXO Logistics non-tech, assistant, supply-chain, customer-service, full-time, usa
- Senior Software Engineer, Python \)link\) AssemblyAI · Full-time · North America, Americas, LATAM, Europe, USA, UK, Canada, Germany, France, US timezones, European timezones engineering, software-development, full-time
- Creative/art Director - Contracted \)link\) Motifmotion · Remote design
- Director Of Conservation \)link\) The Nature Conservancy · New Hampshire, US n-a
- Policy Counsel or Manager \)link\) Pacific Community Ventures · $75,000 - $90,000 · District of Columbia, US non-tech, tech, sales-marketing
- Policy and Legal Advocacy Director \)link\) Ballot Initiative Strategy Center · $90,000 - $100,000 · District of Columbia, US n-a, flexible-us-work-location
- Arkansas State Director \)link\) The Nature Conservancy · Arkansas, US n-a
- Senior Climate Equity Advisor \)link\) The Nature Conservancy · VA, US n-a
2022.10.14 09:58 gm310509 r/Arduino September - List of posting users
arduino Monthly USER digest for 2022-09
Karma per day with 100 or less days age:| # | user | total karma | post count | age | karma per day |
|---|---|---|---|---|---|
| 302 | CatHorror5781 | 2770 | 1 | 24 | 115.42 |
| 356 | epistemlogicalepigon | 1490 | 1 | 80 | 18.63 |
| 422 | Andretect | 705 | 1 | 49 | 14.39 |
| 400 | CheeseIsAHypothesis | 944 | 1 | 81 | 11.65 |
| 444 | drupadoo | 550 | 1 | 72 | 7.64 |
| 482 | sudosuqwerty | 393 | 2 | 57 | 6.89 |
| 545 | visimens-technology | 150 | 1 | 30 | 5.00 |
| 562 | Pancho3D2312 | 125 | 1 | 25 | 5.00 |
| 503 | Hykudo | 292 | 1 | 64 | 4.56 |
| 505 | Mean_Bean_Seventeen | 291 | 1 | 64 | 4.55 |
| 564 | ContactBackground917 | 118 | 6 | 34 | 3.47 |
| 632 | that_marouk_ish | 36 | 1 | 16 | 2.25 |
| 644 | c4m1l020 | 30 | 1 | 24 | 1.25 |
| 615 | CommissionNo9617 | 47 | 1 | 44 | 1.07 |
| 649 | BarbellSymmetry | 26 | 1 | 30 | .87 |
| 622 | GrrrForLife | 43 | 1 | 60 | .72 |
| 676 | t6ro | 12 | 2 | 21 | .57 |
| 633 | Omnia_et_nihil | 35 | 1 | 65 | .54 |
| 656 | Quick-Internal2395 | 23 | 1 | 53 | .43 |
| 664 | ilgeipek | 17 | 1 | 53 | .32 |
| 691 | fuegosempiterno | 8 | 1 | 25 | .32 |
| 662 | TheYellowFox47 | 18 | 1 | 57 | .32 |
| 687 | Willing-Engineer2533 | 8 | 1 | 31 | .26 |
| 679 | Independent-Tower-87 | 11 | 1 | 54 | .20 |
| 689 | Gianni_Moretti | 8 | 1 | 41 | .20 |
| 704 | lightwithin31 | 4 | 1 | 21 | .19 |
| 692 | Live_Accountant4395 | 8 | 1 | 56 | .14 |
| 697 | A_yoyo_nerd | 6 | 1 | 70 | .09 |
| 725 | TechCollegeTEU | 2 | 1 | 24 | .08 |
| 711 | jasonjcmar | 3 | 1 | 41 | .07 |
| 752 | Agentbishop45 | 1 | 1 | 15 | .07 |
| 753 | Alive-Technology-550 | 1 | 1 | 16 | .06 |
| 723 | wannhedda69 | 2 | 1 | 35 | .06 |
| 720 | GuyWithSomeSpareTime | 2 | 1 | 36 | .06 |
| 745 | NuttSkew | 1 | 2 | 19 | .05 |
| 748 | StallingTitan0 | 1 | 1 | 22 | .05 |
| 730 | Global-Taste-872 | 1 | 1 | 25 | .04 |
| 732 | occult-punk | 1 | 1 | 26 | .04 |
| 715 | Academic-Grab5397 | 3 | 1 | 84 | .04 |
| 736 | Anthonyeps | 1 | 1 | 35 | .03 |
| 749 | JoeSchubbe | 1 | 1 | 36 | .03 |
| 738 | Outside-Promise2405 | 1 | 1 | 38 | .03 |
| 719 | MKMTI | 2 | 1 | 78 | .03 |
| 739 | Researcher6645 | 1 | 1 | 39 | .03 |
| 741 | ArdMinos | 1 | 1 | 40 | .03 |
| 742 | AdPerfect1304 | 1 | 1 | 41 | .02 |
| 733 | arduino17 | 1 | 2 | 60 | .02 |
| 757 | smartphilip | 0 | 1 | 18 | .00 |
Summary of Users posting:
| # | user | post karma | comment karma | awarding Karma | total Karma | post count | age (days) |
|---|---|---|---|---|---|---|---|
| 1 | Gabriel38 | 446,301 | 62,451 | 12,976 | 521,728 | 1 | 1,637 |
| 2 | collegefurtrader | 55,277 | 293,389 | 351 | 349,017 | 1 | 4,413 |
| 3 | corruptboomerang | 15,041 | 192,793 | 1,610 | 209,444 | 1 | 2,130 |
| 4 | ExFiler | 16,607 | 183,213 | 3,431 | 203,251 | 1 | 4,787 |
| 5 | sculptedpixels | 4,088 | 173,973 | 1,063 | 179,124 | 1 | 4,983 |
| 6 | SarahC | 19,892 | 154,674 | 647 | 175,213 | 3 | 5,128 |
| 7 | User1539 | 1,514 | 170,659 | 1,747 | 173,920 | 1 | 1,503 |
| 8 | teastain | 3,968 | 163,127 | 4,948 | 172,043 | 1 | 3,923 |
| 9 | JeffSergeant | 66,569 | 93,733 | 617 | 160,919 | 1 | 3,457 |
| 10 | meer2323 | 135,188 | 2,770 | 2,946 | 140,904 | 1 | 2,129 |
| 11 | ivosaurus | 6,759 | 124,282 | 81 | 131,122 | 1 | 4,424 |
| 12 | gundog48 | 25,938 | 104,374 | 474 | 130,786 | 1 | 4,014 |
| 13 | TheHighestFever | 15,705 | 105,038 | 139 | 120,882 | 1 | 3,634 |
| 14 | synthead | 58,481 | 58,406 | 828 | 117,715 | 3 | 3,631 |
| 15 | T0biasCZE | 78,872 | 28,528 | 6,465 | 113,865 | 3 | 1,603 |
| 16 | KYVX | 34,718 | 68,439 | 1,059 | 104,216 | 1 | 2,456 |
| 17 | Deadhead7889 | 6,809 | 92,374 | 1,130 | 100,313 | 1 | 2,376 |
| 18 | Bfreak | 47,819 | 45,206 | 1,108 | 94,133 | 1 | 3,641 |
| 19 | TheRealFender | 25,324 | 63,975 | 88 | 89,387 | 1 | 4,990 |
| 20 | DarthCredence | 1,426 | 82,324 | 862 | 84,612 | 1 | 1,473 |
| 21 | happyamosfun | 14,213 | 68,182 | 452 | 82,847 | 1 | 4,388 |
| 22 | FreshAspect | 50,070 | 27,696 | 972 | 78,738 | 1 | 1,608 |
| 23 | boonstyle_ | 1,584 | 74,120 | 578 | 76,282 | 1 | 1,922 |
| 24 | HShahzad108277 | 65,899 | 4,517 | 2,543 | 72,959 | 1 | 1,563 |
| 25 | MasterBejter | 3,613 | 63,932 | 1,922 | 69,467 | 2 | 1,190 |
| 26 | Zarkex01 | 49,566 | 15,716 | 855 | 66,137 | 2 | 2,127 |
| 27 | OneIdMonSTR | 58,127 | 2,867 | 4,520 | 65,514 | 2 | 1,430 |
| 28 | keatonatron | 8,911 | 54,365 | 415 | 63,691 | 2 | 3,170 |
| 29 | VeryOriginalName98 | 2,666 | 57,903 | 2,421 | 62,990 | 1 | 2,142 |
| 30 | kingoftheforgotten | 43,956 | 18,101 | 523 | 62,580 | 1 | 1,953 |
| 31 | thehuston | 4,399 | 55,690 | 116 | 60,205 | 1 | 3,312 |
| 32 | deez_nuts_77 | 5,095 | 51,938 | 396 | 57,429 | 2 | 1,176 |
| 33 | Free_Math_Tutoring | 3,451 | 51,872 | 48 | 55,371 | 1 | 2,819 |
| 34 | A1-D0 | 46,729 | 4,143 | 3,762 | 54,634 | 1 | 865 |
| 35 | b_a_t_m_4_n | 56 | 52,454 | 1,887 | 54,397 | 1 | 956 |
| 36 | cardcomm | 1,447 | 51,050 | 663 | 53,160 | 1 | 3,458 |
| 37 | Narase33 | 17,691 | 34,172 | 863 | 52,726 | 1 | 1,491 |
| 38 | Th3Gr1MclAw | 25,954 | 24,275 | 531 | 50,760 | 1 | 2,600 |
| 39 | Basilisk_514 | 40,606 | 8,924 | 1,070 | 50,600 | 1 | 1,193 |
| 40 | re_me | 921 | 48,723 | 296 | 49,940 | 1 | 1,965 |
| 41 | Teller8 | 11,760 | 37,975 | 55 | 49,790 | 2 | 3,332 |
| 42 | Nymphamos | 10,182 | 38,237 | 320 | 48,739 | 1 | 2,938 |
| 43 | Coolmrcrocker | 11,776 | 35,093 | 1,856 | 48,725 | 1 | 1,157 |
| 44 | spaceship-earth | 5,846 | 41,675 | 77 | 47,598 | 1 | 2,978 |
| 45 | LordKobby | 42,272 | 1,973 | 167 | 44,412 | 1 | 1,337 |
| 46 | Alenonimo | 7,682 | 35,963 | 181 | 43,826 | 1 | 4,939 |
| 47 | thegeekprophet | 1,379 | 42,015 | 188 | 43,582 | 3 | 3,805 |
| 48 | NoU_14 | 18,198 | 22,297 | 1,648 | 42,143 | 5 | 1,344 |
| 49 | RandomCow12 | 39,074 | 1,741 | 1,281 | 42,096 | 1 | 616 |
| 50 | SuperNntendoChlmers | 9,966 | 30,187 | 1,345 | 41,498 | 1 | 677 |
| 51 | Dummie1138 | 7,015 | 34,422 | 18 | 41,455 | 1 | 2,245 |
| 52 | Aceticon | 184 | 40,553 | 442 | 41,179 | 1 | 3,147 |
| 53 | Cychreides-404 | 11,019 | 29,471 | 604 | 41,094 | 1 | 1,246 |
| 54 | Danac1886 | 35,467 | 1,027 | 3,582 | 40,076 | 1 | 1,565 |
| 55 | jaydogn | 24,531 | 15,022 | 243 | 39,796 | 1 | 3,379 |
| 56 | bhavbhav | 11,021 | 27,307 | 767 | 39,095 | 1 | 4,141 |
| 57 | wromit | 9,611 | 28,233 | 393 | 38,237 | 1 | 4,264 |
| 58 | Joe_Scotto | 30,633 | 4,593 | 836 | 36,062 | 2 | 2,633 |
| 59 | queenpizzazz | 33,427 | 1,904 | 626 | 35,957 | 1 | 1,548 |
| 60 | jhild6 | 31,074 | 3,520 | 841 | 35,435 | 2 | 1,386 |
| 61 | ConjecturesOfAGeek | 14,952 | 17,533 | 2,031 | 34,516 | 1 | 2,173 |
| 62 | 2catchApredditor | 15,228 | 18,684 | 386 | 34,298 | 1 | 4,146 |
| 63 | Alexander556 | 6,927 | 26,611 | 102 | 33,640 | 1 | 2,407 |
| 64 | Soggy_Stargazer | 11,032 | 20,975 | 269 | 32,276 | 1 | 3,306 |
| 65 | enthya | 17,481 | 13,357 | 1,222 | 32,060 | 3 | 3,956 |
| 66 | shanem | 9,184 | 19,025 | 230 | 28,439 | 1 | 5,819 |
| 67 | golden11lead | 1,909 | 25,325 | 99 | 27,333 | 1 | 1,671 |
| 68 | avgsuperhero | 21,421 | 5,349 | 209 | 26,979 | 1 | 2,943 |
| 69 | mapsedge | 6,313 | 19,718 | 772 | 26,803 | 2 | 4,347 |
| 70 | roblibra | 24,669 | 1,696 | 429 | 26,794 | 1 | 1,013 |
| 71 | Quaydo | 17,140 | 7,971 | 1,543 | 26,654 | 1 | 2,060 |
| 72 | TheLea85 | 945 | 22,280 | 3,227 | 26,452 | 1 | 2,823 |
| 73 | nirurin | 1,034 | 24,877 | 58 | 25,969 | 2 | 2,543 |
| 74 | mortenmoulder | 17,275 | 7,706 | 391 | 25,372 | 1 | 2,861 |
| 75 | honeyCrisis | 12,986 | 10,516 | 1,681 | 25,183 | 1 | 1,894 |
| 76 | aarontodd82 | 17,015 | 2,356 | 5,602 | 24,973 | 1 | 1,089 |
| 77 | Reasonable_Area69 | 17,676 | 5,168 | 1,961 | 24,805 | 3 | 674 |
| 78 | BayouBass69 | 19,956 | 4,407 | 302 | 24,665 | 1 | 1,435 |
| 79 | seeiously | 17,136 | 6,890 | 453 | 24,479 | 1 | 1,416 |
| 80 | bstabens | 1,074 | 22,812 | 587 | 24,473 | 1 | 1,476 |
| 81 | Ifigomissing | 7,278 | 16,478 | 557 | 24,313 | 1 | 2,506 |
| 82 | Vitamin_C_is_awesome | 17,502 | 5,588 | 728 | 23,818 | 1 | 2,785 |
| 83 | slowmopete | 12,354 | 11,168 | 29 | 23,551 | 2 | 1,323 |
| 84 | ChillinKillKing | 21,555 | 312 | 1,656 | 23,523 | 1 | 1,474 |
| 85 | SyrusChrome | 10,791 | 12,103 | 450 | 23,344 | 1 | 1,211 |
| 86 | StompyMan | 1,619 | 21,160 | 137 | 22,916 | 1 | 1,033 |
| 87 | bennyhendrix212 | 19,685 | 2,555 | 352 | 22,592 | 2 | 914 |
| 88 | thedymtree | 9,215 | 12,861 | 460 | 22,536 | 1 | 3,894 |
| 89 | codex1962 | 1,171 | 21,164 | 13 | 22,348 | 1 | 3,523 |
| 90 | m0nkeyboy | 4,936 | 16,291 | 226 | 21,453 | 1 | 3,294 |
| 91 | Maclae27 | 17,405 | 3,241 | 292 | 20,938 | 1 | 1,952 |
| 92 | Deltamelon | 5,632 | 15,216 | 18 | 20,866 | 1 | 3,471 |
| 93 | neilpare | 5,834 | 14,325 | 617 | 20,776 | 1 | 1,953 |
| 94 | notaredditthrowaway | 5,551 | 14,533 | 501 | 20,585 | 1 | 2,871 |
| 95 | Razeratorr | 16,164 | 2,357 | 1,681 | 20,202 | 1 | 1,860 |
| 96 | STRAYDOG0626 | 3,761 | 16,304 | 100 | 20,165 | 1 | 3,585 |
| 97 | Hejfede | 13,918 | 5,682 | 20 | 19,620 | 1 | 3,557 |
| 98 | Polia31 | 18,520 | 428 | 664 | 19,612 | 1 | 1,429 |
| 99 | eScarIIV | 2,403 | 16,206 | 777 | 19,386 | 1 | 2,240 |
| 100 | sorryimdrunk402 | 18,781 | 558 | 0 | 19,339 | 1 | 1,487 |
| 101 | Darkstalinator | 14,198 | 3,363 | 1,533 | 19,094 | 1 | 1,344 |
| 102 | jabba_the_hut92 | 12,718 | 4,366 | 1,783 | 18,867 | 1 | 1,098 |
| 103 | XDFreakLP | 9,379 | 9,033 | 362 | 18,774 | 1 | 3,234 |
| 104 | sharxbyte | 8,101 | 10,412 | 80 | 18,593 | 1 | 3,194 |
| 105 | yourbelovedfriend | 11,439 | 6,654 | 270 | 18,363 | 1 | 276 |
| 106 | iwfabrication | 15,739 | 2,466 | 116 | 18,321 | 1 | 1,652 |
| 107 | gbartali | 11,690 | 5,511 | 1,018 | 18,219 | 1 | 460 |
| 108 | coroff532 | 7,510 | 10,506 | 50 | 18,066 | 1 | 2,376 |
| 109 | Dtjordan68 | 12,551 | 5,069 | 271 | 17,891 | 1 | 1,996 |
| 110 | mikeshemp | 10,123 | 7,290 | 313 | 17,726 | 1 | 4,670 |
| 111 | KingSadra | 9,106 | 7,642 | 862 | 17,610 | 1 | 803 |
| 112 | TheStig3136 | 11,401 | 6,091 | 117 | 17,609 | 1 | 3,021 |
| 113 | jewellman100 | 914 | 16,176 | 512 | 17,602 | 1 | 549 |
| 114 | ItsMou | 4,405 | 12,417 | 331 | 17,153 | 1 | 1,204 |
| 115 | BaseToFinal | 14,308 | 2,435 | 217 | 16,960 | 1 | 1,140 |
| 116 | IMPORTANT_INFO | 1,165 | 15,280 | 491 | 16,936 | 1 | 1,298 |
| 117 | KlaraNovak4DaWin | 2,137 | 14,497 | 123 | 16,757 | 1 | 114 |
| 118 | EllieLovesJoel | 4,889 | 11,452 | 184 | 16,525 | 1 | 1,009 |
| 119 | SuperBruan | 9,274 | 6,940 | 207 | 16,421 | 1 | 2,469 |
| 120 | Cpt_shortypants | 3,381 | 12,314 | 593 | 16,288 | 1 | 1,813 |
| 121 | Dari93 | 4,977 | 10,637 | 154 | 15,768 | 1 | 1,002 |
| 122 | GlasedDonut | 6,228 | 9,364 | 15 | 15,607 | 2 | 5,051 |
| 123 | nomoreimfull | 9,303 | 5,941 | 182 | 15,426 | 1 | 3,895 |
| 124 | toorudez | 4,878 | 10,059 | 240 | 15,177 | 1 | 3,530 |
| 125 | Tomytom99 | 8,581 | 6,518 | 69 | 15,168 | 2 | 3,104 |
| 126 | Almost13Ducks | 12,283 | 1,541 | 1,301 | 15,125 | 1 | 922 |
| 127 | gilou_ | 13,135 | 1,589 | 313 | 15,037 | 1 | 949 |
| 128 | RedN00ble | 773 | 13,986 | 186 | 14,945 | 1 | 780 |
| 129 | BushellM | 11,731 | 1,705 | 1,283 | 14,719 | 3 | 147 |
| 130 | Detz | 10,448 | 3,341 | 842 | 14,631 | 1 | 4,530 |
| 131 | gmpmovies | 5,619 | 8,511 | 403 | 14,533 | 2 | 1,393 |
| 132 | Trif55 | 1,118 | 12,630 | 63 | 13,811 | 2 | 2,245 |
| 133 | shazhazel | 9,994 | 1,729 | 1,958 | 13,681 | 1 | 733 |
| 134 | yasohi | 4,520 | 8,415 | 736 | 13,671 | 3 | 1,751 |
| 135 | thedonutsorelse | 1,016 | 12,556 | 84 | 13,656 | 1 | 1,037 |
| 136 | SprainedShorts | 7,529 | 5,788 | 322 | 13,639 | 1 | 1,768 |
| 137 | Nar1117 | 6,582 | 6,821 | 94 | 13,497 | 1 | 4,410 |
| 138 | s3ndm3m3 | 4,712 | 8,487 | 290 | 13,489 | 1 | 943 |
| 139 | legouscz | 2,881 | 10,187 | 409 | 13,477 | 2 | 1,172 |
| 140 | Tango_Foxtrot404 | 8,231 | 3,908 | 1,074 | 13,213 | 2 | 374 |
| 141 | Curious_Tiger_9527 | 8,740 | 4,122 | 215 | 13,077 | 1 | 515 |
| 142 | Go4TLI_03 | 2,446 | 10,177 | 179 | 12,802 | 1 | 407 |
| 143 | El_Sicario | 8,523 | 1,072 | 3,096 | 12,691 | 2 | 851 |
| 144 | TheConceptBoy | 10,854 | 1,191 | 641 | 12,686 | 1 | 2,287 |
| 145 | venomouse | 6,693 | 4,649 | 889 | 12,231 | 1 | 3,839 |
| 146 | bob152637485 | 1,081 | 10,539 | 496 | 12,116 | 1 | 2,383 |
| 147 | Hijel | 7,885 | 3,397 | 761 | 12,043 | 2 | 3,565 |
| 148 | the_j4k3 | 751 | 10,907 | 347 | 12,005 | 1 | 2,619 |
| 149 | byf_43 | 1,711 | 9,172 | 1,061 | 11,944 | 1 | 2,562 |
| 150 | Tanky321 | 6,768 | 4,970 | 88 | 11,826 | 1 | 3,580 |
| 151 | Monsterthews | 710 | 10,662 | 414 | 11,786 | 1 | 896 |
| 152 | Forummer0-3-8 | 4,023 | 7,582 | 169 | 11,774 | 1 | 1,952 |
| 153 | GotGaMeR | 888 | 10,567 | 225 | 11,680 | 1 | 4,247 |
| 154 | humorismyspecialty | 7,634 | 3,585 | 414 | 11,633 | 1 | 1,186 |
| 155 | Blasecube | 4,315 | 6,933 | 173 | 11,421 | 1 | 2,161 |
| 156 | SMD_Human | 9,088 | 793 | 1,327 | 11,208 | 2 | 1,340 |
| 157 | falseidol1234 | 7,988 | 2,965 | 235 | 11,188 | 1 | 3,257 |
| 158 | Dani_fan-nerd | 2,868 | 8,119 | 79 | 11,066 | 1 | 563 |
| 159 | AeroSparky | 6,577 | 3,956 | 288 | 10,821 | 1 | 1,564 |
| 160 | Survivor_Oceanic815 | 3,335 | 6,238 | 1,085 | 10,658 | 1 | 1,836 |
| 161 | NoLynxx | 9,364 | 646 | 596 | 10,606 | 1 | 1,139 |
| 162 | immortal_sniper1 | 1,953 | 8,388 | 252 | 10,593 | 1 | 1,517 |
| 163 | MemeNinja188 | 4,539 | 5,233 | 527 | 10,299 | 1 | 1,510 |
| 164 | HERO3Raider | 449 | 9,666 | 126 | 10,241 | 1 | 3,343 |
| 165 | ilovemydickuwu | 9,217 | 703 | 300 | 10,220 | 2 | 720 |
| 166 | mylvasur000 | 6,797 | 2,610 | 574 | 9,981 | 1 | 2,644 |
| 167 | MrxAnomynous | 8,733 | 404 | 734 | 9,871 | 1 | 2,666 |
| 168 | TheRealProfB | 8,088 | 1,410 | 372 | 9,870 | 1 | 1,408 |
| 169 | xmax123x123 | 174 | 9,520 | 30 | 9,724 | 2 | 1,511 |
| 170 | Mihael_71 | 8,406 | 1,055 | 52 | 9,513 | 1 | 1,555 |
| 171 | FwieFabri | 8,614 | 382 | 507 | 9,503 | 3 | 1,466 |
| 172 | CitizenSam | 951 | 8,240 | 70 | 9,261 | 2 | 3,676 |
| 173 | snigherfardimungus | 6,559 | 2,361 | 297 | 9,217 | 1 | 1,969 |
| 174 | HaziqFaeizal | 3,814 | 4,946 | 325 | 9,085 | 1 | 908 |
| 175 | MrKeviscool | 6,432 | 2,040 | 543 | 9,015 | 1 | 484 |
| 176 | OkSpinach7387 | 6,396 | 2,334 | 132 | 8,862 | 1 | 717 |
| 177 | rambutang | 37 | 8,557 | 235 | 8,829 | 1 | 1,974 |
| 178 | ZooBastic | 7,160 | 538 | 1,092 | 8,790 | 1 | 1,052 |
| 179 | Inner_Information_26 | 5,899 | 1,442 | 1,444 | 8,785 | 1 | 767 |
| 180 | iyided1 | 859 | 7,690 | 119 | 8,668 | 1 | 426 |
| 181 | Borneokid | 3,049 | 4,804 | 763 | 8,616 | 1 | 989 |
| 182 | rschwa6308 | 2,171 | 6,403 | 15 | 8,589 | 1 | 2,390 |
| 183 | bogodix | 2,439 | 5,331 | 798 | 8,568 | 1 | 1,369 |
| 184 | chris-read-it | 7,235 | 296 | 868 | 8,399 | 1 | 2,404 |
| 185 | lan-dog | 5,296 | 2,891 | 137 | 8,324 | 1 | 1,265 |
| 186 | Zoneforg | 3,169 | 4,893 | 237 | 8,299 | 1 | 698 |
| 187 | breefield | 2,163 | 5,819 | 256 | 8,238 | 1 | 4,327 |
| 188 | 0015dev | 6,189 | 947 | 1,054 | 8,190 | 2 | 888 |
| 189 | drewc3617 | 476 | 7,611 | 100 | 8,187 | 1 | 2,104 |
| 190 | Baby_bluega | 708 | 7,321 | 100 | 8,129 | 1 | 1,983 |
| 191 | the-35mm-pilot | 3,030 | 4,705 | 376 | 8,111 | 2 | 1,030 |
| 192 | corwin01 | 260 | 7,822 | 0 | 8,082 | 1 | 4,630 |
| 193 | adwam12 | 5,821 | 2,194 | 45 | 8,060 | 1 | 3,254 |
| 194 | mariusjx | 6,246 | 948 | 773 | 7,967 | 1 | 912 |
| 195 | CouldNotThinkALot | 6,544 | 713 | 635 | 7,892 | 1 | 595 |
| 196 | Icloneyouagain | 4,772 | 2,834 | 285 | 7,891 | 1 | 3,425 |
| 197 | smrtboi84 | 3,857 | 3,682 | 251 | 7,790 | 1 | 1,129 |
| 198 | C_Arthur | 843 | 6,585 | 77 | 7,505 | 1 | 892 |
| 199 | ColourMeBoom | 5,928 | 1,166 | 295 | 7,389 | 1 | 1,904 |
| 200 | sashablyat | 5,442 | 1,798 | 0 | 7,240 | 1 | 3,425 |
| 201 | Rod_McBan | 1,609 | 5,163 | 438 | 7,210 | 1 | 2,856 |
| 202 | pekkmen | 335 | 5,957 | 902 | 7,194 | 1 | 1,461 |
| 203 | BS_STW | 1,118 | 5,707 | 325 | 7,150 | 1 | 1,020 |
| 204 | Warr_Chief | 4,518 | 2,463 | 69 | 7,050 | 1 | 1,311 |
| 205 | Das_CHUCK | 6,718 | 221 | 63 | 7,002 | 2 | 1,203 |
| 206 | ChocobosParadise | 1,838 | 5,055 | 58 | 6,951 | 1 | 1,299 |
| 207 | Elbjornbjorn | 71 | 6,764 | 18 | 6,853 | 1 | 2,443 |
| 208 | GorllaDetective | 2,829 | 3,791 | 62 | 6,682 | 1 | 3,537 |
| 209 | heaton84 | 5,045 | 1,542 | 68 | 6,655 | 1 | 5,029 |
| 210 | westy2036 | 896 | 5,659 | 43 | 6,598 | 1 | 2,250 |
| 211 | sypherwolf | 5,363 | 1,145 | 83 | 6,591 | 1 | 3,403 |
| 212 | crabbyhead | 5,743 | 496 | 243 | 6,482 | 3 | 982 |
| 213 | edisonsciencecorner | 5,933 | 135 | 355 | 6,423 | 1 | 846 |
| 214 | DepthValley | 106 | 6,258 | 46 | 6,410 | 1 | 607 |
| 215 | Zerq453 | 3,785 | 2,416 | 50 | 6,251 | 4 | 388 |
| 216 | BitBucket404 | 2,517 | 3,379 | 262 | 6,158 | 2 | 353 |
| 217 | DapperDaveW | 3,980 | 1,727 | 274 | 5,981 | 1 | 1,992 |
| 218 | RunarSJ | 1,848 | 3,735 | 244 | 5,827 | 1 | 659 |
| 219 | rgryffin13 | 1,099 | 4,601 | 0 | 5,700 | 1 | 3,118 |
| 220 | chaos_craig | 2,627 | 2,697 | 344 | 5,668 | 1 | 1,696 |
| 221 | Underwatch324657 | 5,451 | 72 | 50 | 5,573 | 1 | 1,271 |
| 222 | badbeachbuggy | 4,746 | 515 | 229 | 5,490 | 1 | 1,373 |
| 223 | ripred3 | 1,062 | 2,706 | 1,683 | 5,451 | 5 | 3,547 |
| 224 | bmitov | 2,658 | 230 | 2,502 | 5,390 | 1 | 2,652 |
| 225 | gm310509 | 290 | 4,297 | 780 | 5,367 | 3 | 645 |
| 226 | phuzybuny | 1,246 | 4,017 | 38 | 5,301 | 1 | 4,426 |
| 227 | IDeserved | 4,301 | 412 | 536 | 5,249 | 1 | 693 |
| 228 | Holzdev | 86 | 5,093 | 63 | 5,242 | 1 | 2,873 |
| 229 | Bobthedude56 | 2,716 | 2,328 | 121 | 5,165 | 1 | 4,058 |
| 230 | DeathBySarcasm_ | 11 | 5,021 | 100 | 5,132 | 1 | 414 |
| 231 | tipppo | 359 | 4,324 | 430 | 5,113 | 1 | 799 |
| 232 | WoolyMamit | 4,898 | 98 | 104 | 5,100 | 1 | 1,567 |
| 233 | BillNyeThat1Guy | 1,275 | 3,593 | 152 | 5,020 | 2 | 1,949 |
| 234 | Garrettthesnail | 2,255 | 2,378 | 284 | 4,917 | 1 | 975 |
| 235 | 1Certified1 | 378 | 4,517 | 15 | 4,910 | 1 | 1,826 |
| 236 | KronixPC | 1,746 | 2,692 | 446 | 4,884 | 1 | 1,986 |
| 237 | tryingtogetairborne | 2,190 | 2,691 | 0 | 4,881 | 1 | 3,018 |
| 238 | TheFlean | 1,571 | 3,152 | 82 | 4,805 | 2 | 917 |
| 239 | DutchSimba | 2,131 | 2,289 | 368 | 4,788 | 1 | 905 |
| 240 | LowLvlLiving | 2,943 | 1,499 | 241 | 4,683 | 1 | 774 |
| 241 | Codics | 3,299 | 1,271 | 80 | 4,650 | 1 | 809 |
| 242 | Akita_Attribute | 58 | 4,564 | 15 | 4,637 | 1 | 495 |
| 243 | Callumnibus | 2,533 | 1,842 | 244 | 4,619 | 1 | 2,786 |
| 244 | thiagosch_p | 44 | 4,472 | 81 | 4,597 | 1 | 3,215 |
| 245 | ReallyOldMate | 3,422 | 1,111 | 34 | 4,567 | 1 | 1,223 |
| 246 | goodieteabag | 3,018 | 1,508 | 0 | 4,526 | 1 | 1,552 |
| 247 | ItsAymn | 79 | 4,352 | 40 | 4,471 | 1 | 284 |
| 248 | BossGandalf | 842 | 3,192 | 410 | 4,444 | 2 | 804 |
| 249 | TheSpidermail | 3,469 | 778 | 186 | 4,433 | 1 | 944 |
| 250 | rayl8w | 3,878 | 429 | 73 | 4,380 | 2 | 1,711 |
| 251 | threephase03 | 3,093 | 931 | 311 | 4,335 | 1 | 1,600 |
| 252 | thejohloh | 2,464 | 832 | 956 | 4,252 | 1 | 1,983 |
| 253 | De_Hbih | 1,842 | 1,898 | 508 | 4,248 | 3 | 813 |
| 254 | mistakes_made_me | 295 | 3,848 | 45 | 4,188 | 2 | 314 |
| 255 | AggravatingHistory24 | 3,138 | 610 | 413 | 4,161 | 1 | 631 |
| 256 | Mormoneylessproblems | 207 | 3,833 | 0 | 4,040 | 1 | 2,788 |
| 257 | Dumbasik | 257 | 3,561 | 195 | 4,013 | 1 | 714 |
| 258 | Renegade_Designer | 3,568 | 98 | 328 | 3,994 | 3 | 442 |
| 259 | abbas56 | 2,352 | 1,268 | 344 | 3,964 | 1 | 1,187 |
| 260 | Mushu84 | 3,496 | 464 | 0 | 3,960 | 1 | 3,993 |
| 261 | enkianderos | 379 | 3,477 | 0 | 3,856 | 1 | 4,487 |
| 262 | _Itscheapertokeepher | 1,393 | 2,305 | 113 | 3,811 | 1 | 807 |
| 263 | rtkrueger15 | 72 | 3,718 | 17 | 3,807 | 1 | 1,822 |
| 264 | jim_builds | 2,711 | 885 | 194 | 3,790 | 1 | 796 |
| 265 | Cr1s3d | 3,032 | 498 | 257 | 3,787 | 1 | 1,104 |
| 266 | da_NAP | 2,251 | 1,266 | 265 | 3,782 | 1 | 1,474 |
| 267 | into_the_ozone | 2,811 | 766 | 161 | 3,738 | 1 | 729 |
| 268 | pipo_elperro | 956 | 1,908 | 814 | 3,678 | 1 | 978 |
| 269 | a-d-a-m-f-k | 3,101 | 462 | 109 | 3,672 | 1 | 1,227 |
| 270 | careyi4 | 2,515 | 884 | 241 | 3,640 | 4 | 295 |
| 271 | lowspecmobileuser | 5 | 2,884 | 738 | 3,627 | 1 | 354 |
| 272 | nccwarp9 | 3,018 | 488 | 75 | 3,581 | 1 | 5,783 |
| 273 | milletdeangeles | 2,011 | 1,553 | 15 | 3,579 | 1 | 2,862 |
| 274 | Cloudcrofter | 154 | 3,337 | 20 | 3,511 | 1 | 680 |
| 275 | Proto7800 | 2,314 | 1,183 | 11 | 3,508 | 1 | 2,551 |
| 276 | anandmohandas | 3,312 | 14 | 171 | 3,497 | 1 | 2,206 |
| 277 | 3Bixx | 2,767 | 228 | 478 | 3,473 | 1 | 882 |
| 278 | wolfix1001 | 2,725 | 671 | 48 | 3,444 | 2 | 2,040 |
| 279 | IotNoob11 | 2,663 | 333 | 379 | 3,375 | 1 | 569 |
| 280 | Crutingly | 1,179 | 2,182 | 0 | 3,361 | 2 | 3,794 |
| 281 | phatmike128 | 336 | 2,746 | 267 | 3,349 | 1 | 4,102 |
| 282 | AnonAustria13 | 522 | 2,732 | 78 | 3,332 | 1 | 1,849 |
| 283 | xxxxsxsx-xxsx-xxs--- | 338 | 2,956 | 27 | 3,321 | 1 | 934 |
| 284 | errevs8 | 3,019 | 234 | 63 | 3,316 | 1 | 992 |
| 285 | RulerOfThePixel | 2,136 | 1,073 | 89 | 3,298 | 1 | 1,319 |
| 286 | arduinobits | 2,455 | 587 | 181 | 3,223 | 6 | 149 |
| 287 | ljcmps01 | 318 | 2,687 | 99 | 3,104 | 1 | 1,734 |
| 288 | anonimou_eu | 2,321 | 681 | 0 | 3,002 | 1 | 2,771 |
| 289 | Ill_Recover_710 | 379 | 2,606 | 0 | 2,985 | 1 | 291 |
| 290 | GTXMadLad | 872 | 2,079 | 21 | 2,972 | 1 | 1,232 |
| 291 | Decker_Zasta | 2,389 | 543 | 25 | 2,957 | 1 | 1,586 |
| 292 | papayahog | 88 | 2,794 | 68 | 2,950 | 2 | 133 |
| 293 | Longjumping-Middle41 | 219 | 2,687 | 0 | 2,906 | 1 | 517 |
| 294 | Jim_swarthow | 2,849 | 49 | 0 | 2,898 | 2 | 3,975 |
| 295 | Guty__18 | 532 | 1,830 | 527 | 2,889 | 1 | 427 |
| 296 | oandroido | 849 | 1,891 | 110 | 2,850 | 1 | 2,321 |
| 297 | Katb0m | 1,415 | 1,337 | 74 | 2,826 | 1 | 2,722 |
| 298 | mbhudson1 | 1,184 | 1,498 | 143 | 2,825 | 1 | 1,418 |
| 299 | Soolaaal | 2,386 | 208 | 188 | 2,782 | 1 | 606 |
| 300 | Roozmin | 358 | 2,411 | 10 | 2,779 | 1 | 1,271 |
| 301 | artotal | 310 | 2,457 | 9 | 2,776 | 1 | 3,217 |
| 302 | CatHorror5781 | 2,770 | 0 | 0 | 2,770 | 1 | 24 |
| 303 | Schoops69 | 362 | 2,319 | 79 | 2,760 | 1 | 1,018 |
| 304 | Bromidium | 1,507 | 1,242 | 0 | 2,749 | 1 | 3,047 |
| 305 | GarredB | 174 | 2,507 | 0 | 2,681 | 1 | 1,972 |
| 306 | Confident_Chicken118 | 688 | 1,703 | 284 | 2,675 | 1 | 371 |
| 307 | oldwornradio | 563 | 2,074 | 37 | 2,674 | 1 | 1,584 |
| 308 | MonkeySteam | 1,638 | 1,032 | 0 | 2,670 | 2 | 2,171 |
| 309 | Shifter2015 | 1,953 | 482 | 190 | 2,625 | 1 | 677 |
| 310 | ithriveintoxicity2 | 53 | 2,532 | 22 | 2,607 | 1 | 121 |
| 311 | mindoo | 454 | 2,112 | 38 | 2,604 | 1 | 2,808 |
| 312 | __Waterboy | 1,446 | 946 | 174 | 2,566 | 1 | 613 |
| 313 | Justakidthatrants | 1,243 | 1,148 | 117 | 2,508 | 1 | 1,796 |
| 314 | neo9069 | 1,653 | 739 | 63 | 2,455 | 5 | 889 |
| 315 | k0p3rn1kus | 1,263 | 1,048 | 75 | 2,386 | 1 | 860 |
| 316 | AVGuy42 | 76 | 2,289 | 15 | 2,380 | 1 | 266 |
| 317 | cwdesignsvs | 403 | 1,926 | 19 | 2,348 | 1 | 2,211 |
| 318 | porcupine_tv | 1,014 | 1,226 | 80 | 2,320 | 1 | 953 |
| 319 | orcanenight | 72 | 2,187 | 8 | 2,267 | 1 | 2,253 |
| 320 | A7med_611 | 1,910 | 112 | 214 | 2,236 | 1 | 842 |
| 321 | mountainmannm | 1,849 | 267 | 106 | 2,222 | 1 | 2,403 |
| 322 | -NeutralE | 1,492 | 567 | 152 | 2,211 | 1 | 2,334 |
| 323 | Cheap_Protection_359 | 1,868 | 279 | 46 | 2,193 | 1 | 615 |
| 324 | Revolutionary_Fun819 | 934 | 1,190 | 39 | 2,163 | 1 | 651 |
| 325 | jan12kom | 782 | 1,337 | 15 | 2,134 | 1 | 612 |
| 326 | Sunriser45 | 1,846 | 259 | 13 | 2,118 | 1 | 2,189 |
| 327 | imforry | 1,253 | 712 | 119 | 2,084 | 1 | 2,626 |
| 328 | fourchimney | 255 | 1,773 | 18 | 2,046 | 1 | 3,990 |
| 329 | Dr_Calculon | 765 | 1,184 | 91 | 2,040 | 1 | 1,103 |
| 330 | Impossible-Tap-5833 | 90 | 1,882 | 35 | 2,007 | 1 | 414 |
| 331 | blanesawyer | 1,481 | 447 | 74 | 2,002 | 1 | 995 |
| 332 | funkydude321 | 1,158 | 644 | 132 | 1,934 | 1 | 321 |
| 333 | ObservantOkra74 | 2 | 1,862 | 50 | 1,914 | 1 | 276 |
| 334 | GoTVm | 340 | 1,080 | 483 | 1,903 | 2 | 942 |
| 335 | Samuel20354 | 430 | 313 | 1,142 | 1,885 | 1 | 855 |
| 336 | reddeadjuul | 69 | 1,815 | 0 | 1,884 | 1 | 1,407 |
| 337 | AlphaSwordsman | 1,680 | 60 | 125 | 1,865 | 2 | 931 |
| 338 | centx | 1,109 | 674 | 58 | 1,841 | 1 | 5,332 |
| 339 | EverestBlade | 1,308 | 460 | 56 | 1,824 | 1 | 1,498 |
| 340 | rcx677 | 502 | 1,301 | 13 | 1,816 | 3 | 2,297 |
| 341 | R0b0tg | 1,206 | 336 | 270 | 1,812 | 1 | 1,069 |
| 342 | croconose | 1,556 | 186 | 54 | 1,796 | 1 | 1,526 |
| 343 | Dz_Quantum | 1,041 | 92 | 637 | 1,770 | 1 | 1,464 |
| 344 | Firm-Ad-5216 | 1,056 | 705 | 0 | 1,761 | 1 | 788 |
| 345 | hatchet-13 | 972 | 743 | 44 | 1,759 | 1 | 963 |
| 346 | EnvironmentalMap5 | 1,491 | 28 | 225 | 1,744 | 1 | 1,495 |
| 347 | lushcurtains | 133 | 1,592 | 0 | 1,725 | 1 | 2,639 |
| 348 | UpbeatLizard641 | 122 | 1,344 | 184 | 1,650 | 1 | 192 |
| 349 | Joshaaye | 1,005 | 582 | 39 | 1,626 | 1 | 3,125 |
| 350 | scuttdogg | 791 | 805 | 20 | 1,616 | 3 | 1,207 |
| 351 | tm354 | 1,084 | 495 | 15 | 1,594 | 1 | 2,827 |
| 352 | edgylordyby | 464 | 802 | 300 | 1,566 | 2 | 1,628 |
| 353 | TheKelpster | 906 | 466 | 185 | 1,557 | 2 | 655 |
| 354 | Kilzhot | 1 | 0 | 1,551 | 1,552 | 1 | 1,369 |
| 355 | asppppp | 1,290 | 203 | 30 | 1,523 | 2 | 1,861 |
| 356 | epistemlogicalepigon | 628 | 862 | 0 | 1,490 | 1 | 80 |
| 357 | Tappaa1 | 246 | 1,221 | 18 | 1,485 | 1 | 2,531 |
| 358 | Frog-withfeet-toed | 71 | 1,361 | 39 | 1,471 | 2 | 618 |
| 359 | Jesyz | 737 | 708 | 16 | 1,461 | 1 | 1,283 |
| 360 | fulburi | 918 | 522 | 15 | 1,455 | 1 | 1,500 |
| 361 | jo725 | 714 | 607 | 126 | 1,447 | 1 | 1,491 |
| 362 | Unique-Opening1335 | 25 | 1,383 | 32 | 1,440 | 1 | 719 |
| 363 | kmashburn808 | 898 | 501 | 35 | 1,434 | 1 | 624 |
| 364 | stonks553 | 29 | 1,344 | 33 | 1,406 | 1 | 479 |
| 365 | LiftedByNature | 1,155 | 90 | 128 | 1,373 | 1 | 2,739 |
| 366 | blodhgarm96 | 119 | 1,225 | 15 | 1,359 | 1 | 3,259 |
| 367 | StellarsJayNorthwest | 22 | 1,326 | 0 | 1,348 | 2 | 221 |
| 368 | AtlanticDuck | 77 | 1,238 | 18 | 1,333 | 1 | 230 |
| 369 | COMMANDO240 | 758 | 147 | 422 | 1,327 | 1 | 1,164 |
| 370 | ElIngeGroso | 1 | 1,296 | 20 | 1,317 | 1 | 125 |
| 371 | ChrisMorro | 1,191 | 107 | 18 | 1,316 | 1 | 471 |
| 372 | Hyperblue8 | 940 | 287 | 66 | 1,293 | 1 | 1,119 |
| 373 | smsavage32 | 1,169 | 118 | 0 | 1,287 | 3 | 3,082 |
| 374 | turtleguy955 | 433 | 740 | 112 | 1,285 | 1 | 833 |
| 375 | Protolinux217 | 984 | 241 | 53 | 1,278 | 1 | 512 |
| 376 | HumanCaptain45 | 745 | 508 | 0 | 1,253 | 1 | 1,479 |
| 377 | KonradKnebl | 837 | 301 | 105 | 1,243 | 1 | 481 |
| 378 | radixties | 833 | 216 | 191 | 1,240 | 1 | 1,303 |
| 379 | dscript | 664 | 513 | 51 | 1,228 | 2 | 3,865 |
| 380 | OkBro513 | 1,109 | 72 | 47 | 1,228 | 1 | 911 |
| 381 | NvyAI | 125 | 198 | 902 | 1,225 | 2 | 280 |
| 382 | Desperate-Step4469 | 338 | 371 | 489 | 1,198 | 1 | 487 |
| 383 | GalaxyBrain75 | 374 | 460 | 352 | 1,186 | 1 | 780 |
| 384 | TjMOTS | 353 | 744 | 86 | 1,183 | 1 | 1,271 |
| 385 | Conscious_Forever_92 | 627 | 546 | 0 | 1,173 | 1 | 620 |
| 386 | Individual_Refuse167 | 40 | 1,116 | 0 | 1,156 | 3 | 652 |
| 387 | mataka54321 | 701 | 312 | 140 | 1,153 | 1 | 1,012 |
| 388 | pushpendra766 | 1,028 | 56 | 51 | 1,135 | 1 | 651 |
| 389 | ElHeffay | 19 | 1,109 | 0 | 1,128 | 1 | 3,126 |
| 390 | Premesupboi | 471 | 584 | 30 | 1,085 | 1 | 504 |
| 391 | alxgg | 874 | 121 | 64 | 1,059 | 1 | 1,950 |
| 392 | devaprakash11 | 684 | 61 | 305 | 1,050 | 1 | 1,162 |
| 393 | OmegaJ8006 | 825 | 211 | 0 | 1,036 | 1 | 3,164 |
| 394 | youngestEVer1 | 558 | 353 | 88 | 999 | 1 | 1,125 |
| 395 | beamtown12 | 745 | 10 | 241 | 996 | 1 | 2,035 |
| 396 | Nuttennut | 712 | 276 | 0 | 988 | 1 | 1,685 |
| 397 | madebypeppers | 153 | 779 | 50 | 982 | 1 | 451 |
| 398 | rcudatri | 18 | 920 | 26 | 964 | 1 | 565 |
| 399 | erferf123 | 621 | 242 | 85 | 948 | 1 | 1,143 |
| 400 | CheeseIsAHypothesis | 202 | 697 | 45 | 944 | 1 | 81 |
| 401 | zackwrx05 | 892 | -14 | 58 | 936 | 1 | 2,429 |
| 402 | lemacx | 259 | 555 | 120 | 934 | 1 | 2,144 |
| 403 | Error_HackedKitten | 806 | 15 | 111 | 932 | 1 | 569 |
| 404 | Aggravating-Film3258 | 96 | 41 | 790 | 927 | 1 | 744 |
| 405 | FarhanYusufzai | 276 | 572 | 72 | 920 | 2 | 2,841 |
| 406 | ComicSausage | 280 | 550 | 90 | 920 | 1 | 1,599 |
| 407 | tidex1234 | 2 | 912 | 0 | 914 | 1 | 1,641 |
| 408 | Palton01 | 667 | 138 | 107 | 912 | 1 | 1,291 |
| 409 | 23younesm | 852 | -16 | 59 | 895 | 2 | 1,464 |
| 410 | SkyLorin10 | 120 | 752 | 20 | 892 | 3 | 766 |
| 411 | aitorrrl | 102 | 693 | 0 | 795 | 1 | 134 |
| 412 | Pwnage_Larry | 505 | 218 | 66 | 789 | 1 | 1,892 |
| 413 | Monoelectro | 425 | 229 | 111 | 765 | 1 | 284 |
| 414 | gatecheckr | 97 | 661 | 0 | 758 | 1 | 1,566 |
| 415 | glorsh66 | 687 | 55 | 13 | 755 | 1 | 1,790 |
| 416 | Altruistic-Hat-9604 | 37 | 686 | 13 | 736 | 1 | 664 |
| 417 | frequency_abovetime | 592 | 109 | 30 | 731 | 1 | 599 |
| 418 | woolliegames | 207 | 206 | 314 | 727 | 1 | 787 |
| 419 | veilneir_exe | 35 | 683 | 0 | 718 | 1 | 615 |
| 420 | CatMechanic457 | 360 | 157 | 198 | 715 | 1 | 583 |
| 421 | childti | 229 | 270 | 207 | 706 | 1 | 2,029 |
| 422 | Andretect | 617 | 38 | 50 | 705 | 1 | 49 |
| 423 | Zanshieme | 31 | 592 | 73 | 696 | 1 | 1,009 |
| 424 | ChemistryFantastic23 | 380 | 305 | 0 | 685 | 1 | 700 |
| 425 | alphack_ | 214 | 450 | 0 | 664 | 1 | 1,272 |
| 426 | slakerjak | 88 | 553 | 20 | 661 | 2 | 1,892 |
| 427 | loserden | 501 | 159 | 0 | 660 | 1 | 2,038 |
| 428 | nerdward21 | 320 | 108 | 228 | 656 | 1 | 2,002 |
| 429 | immaterial_humility | 471 | 120 | 55 | 646 | 1 | 294 |
| 430 | dragon11sn | 425 | 70 | 148 | 643 | 1 | 4,477 |
| 431 | bekathwia | 603 | 21 | 15 | 639 | 1 | 4,622 |
| 432 | MintKind | 472 | 32 | 133 | 637 | 1 | 1,734 |
| 433 | ThinnyVibrato | 113 | 523 | 0 | 636 | 1 | 1,062 |
| 434 | Downtown-Lettuce-736 | 295 | 318 | 19 | 632 | 1 | 683 |
| 435 | Alex_123789 | 491 | 63 | 76 | 630 | 2 | 1,465 |
| 436 | Breefy5 | 580 | 1 | 33 | 614 | 1 | 845 |
| 437 | ALEX--JAMES | 397 | 15 | 201 | 613 | 1 | 1,408 |
| 438 | PeaceAgreeable446 | 550 | 39 | 0 | 589 | 1 | 686 |
| 439 | Dhir_Gandhi | 486 | 15 | 81 | 582 | 1 | 584 |
| 440 | KingZGShadow | 404 | 108 | 70 | 582 | 1 | 1,504 |
| 441 | Xor1011 | 67 | 506 | 0 | 573 | 1 | 1,479 |
| 442 | AlbertFindShrine | 376 | 182 | 0 | 558 | 1 | 270 |
| 443 | Narada- | 365 | 160 | 30 | 555 | 1 | 2,119 |
| 444 | drupadoo | 6 | 544 | 0 | 550 | 1 | 72 |
| 445 | GamesNPains | 271 | 274 | 0 | 545 | 1 | 354 |
| 446 | ApartWash1220 | 338 | 185 | 16 | 539 | 1 | 176 |
| 447 | siara-cc | 480 | 41 | 15 | 536 | 1 | 1,314 |
| 448 | AncientConky | 255 | 228 | 40 | 523 | 1 | 1,315 |
| 449 | JustAnotherMisterMe | 278 | 218 | 26 | 522 | 1 | 188 |
| 450 | Common_Ad_6362 | 1 | 512 | 8 | 521 | 1 | 129 |
| 451 | Equivalent-Turn3282 | 464 | 41 | 15 | 520 | 2 | 638 |
| 452 | plantoj | 98 | 339 | 79 | 516 | 1 | 218 |
| 453 | Baguette1126 | 221 | 170 | 122 | 513 | 1 | 523 |
| 454 | ImReallyNotColin | 102 | 394 | 13 | 509 | 1 | 973 |
| 455 | fryryeasianboi | 167 | 336 | 0 | 503 | 1 | 981 |
| 456 | Ben2992 | 448 | 2 | 53 | 503 | 1 | 1,327 |
| 457 | DosephElDuo | 417 | 86 | 0 | 503 | 1 | 1,335 |
| 458 | NHJeff | 335 | 152 | 13 | 500 | 1 | 1,254 |
| 459 | EquilateralHaler | 457 | 21 | 13 | 491 | 1 | 1,760 |
| 460 | RyanLinford | 134 | 340 | 11 | 485 | 1 | 968 |
| 461 | DarpreetSingh | 308 | 115 | 56 | 479 | 1 | 521 |
| 462 | Sombody101 | 123 | 207 | 144 | 474 | 1 | 625 |
| 463 | xurxia77 | 66 | 100 | 302 | 468 | 1 | 314 |
| 464 | MastodonJaded6010 | 217 | 157 | 90 | 464 | 1 | 722 |
| 465 | spicysushi6 | 39 | 365 | 59 | 463 | 1 | 974 |
| 466 | Ashamed_Drawer_108 | 312 | 134 | 15 | 461 | 1 | 469 |
| 467 | ClownKiller6724 | 1 | 436 | 23 | 460 | 1 | 1,045 |
| 468 | AngryDesertPhrog | 278 | 166 | 14 | 458 | 1 | 203 |
| 469 | Sky737 | 186 | 59 | 210 | 455 | 1 | 636 |
| 470 | accur4te | 98 | 54 | 297 | 449 | 1 | 431 |
| 471 | AgentBlack6000 | 3 | 133 | 301 | 437 | 1 | 724 |
| 472 | finexpertofficial | 396 | -1 | 40 | 435 | 1 | 680 |
| 473 | marcusrodriguez2020 | 384 | 47 | 0 | 431 | 1 | 2,266 |
| 474 | datejust36 | 234 | 189 | 0 | 423 | 2 | 1,033 |
| 475 | sborone | 151 | 24 | 240 | 415 | 1 | 838 |
| 476 | tauko56 | 334 | 77 | 0 | 411 | 1 | 781 |
| 477 | Lvro | 11 | 399 | 0 | 410 | 2 | 2,175 |
| 478 | crh10001 | 222 | 140 | 44 | 406 | 3 | 980 |
| 479 | CaelanAnimation | 54 | 137 | 211 | 402 | 1 | 578 |
| 480 | Nanofox7pro | 13 | 36 | 352 | 401 | 1 | 846 |
| 481 | Standard_Ad8455 | 305 | 59 | 36 | 400 | 1 | 471 |
| 482 | sudosuqwerty | 385 | 8 | 0 | 393 | 2 | 57 |
| 483 | Edc122 | 7 | 278 | 96 | 381 | 1 | 2,239 |
| 484 | diamondblock69 | 94 | 255 | 31 | 380 | 1 | 1,775 |
| 485 | Funny_Manufacturer37 | 85 | 183 | 110 | 378 | 2 | 684 |
| 486 | Bluthhundr | 75 | 298 | 0 | 373 | 1 | 1,340 |
| 487 | JaethWig | 239 | 77 | 55 | 371 | 4 | 413 |
| 488 | ligmaballzbiatch | 1 | 368 | 0 | 369 | 1 | 157 |
| 489 | airkeukenrol | 241 | 126 | 0 | 367 | 1 | 2,489 |
| 490 | Breh_________Moment | 66 | 157 | 142 | 365 | 4 | 714 |
| 491 | TAGIVIKINGS | 276 | 25 | 57 | 358 | 1 | 2,280 |
| 492 | MephistonTheDonut | 210 | 142 | 0 | 352 | 1 | 297 |
| 493 | Outside-Thanks-3979 | 274 | 45 | 21 | 340 | 3 | 597 |
| 494 | indiantinker | 204 | 31 | 101 | 336 | 2 | 2,255 |
| 495 | curlyfries36 | 302 | 17 | 16 | 335 | 1 | 348 |
| 496 | Dylan-Morrall | 217 | 26 | 90 | 333 | 2 | 1,195 |
| 497 | Lolerbeefboss | 231 | 80 | 18 | 329 | 1 | 675 |
| 498 | gripenbite | 152 | 164 | 0 | 316 | 1 | 847 |
| 499 | Grand-Worker-5995 | 225 | 74 | 15 | 314 | 1 | 703 |
| 500 | AusSkiller | 119 | 183 | 0 | 302 | 1 | 3,944 |
| 501 | mxracer303 | 107 | 77 | 110 | 294 | 1 | 1,408 |
| 502 | GlobalFuckMaster | 158 | 136 | 0 | 294 | 1 | 1,330 |
| 503 | Hykudo | 239 | 15 | 38 | 292 | 1 | 64 |
| 504 | DreManDelta | 190 | 81 | 20 | 291 | 1 | 1,554 |
| 505 | Mean_Bean_Seventeen | 167 | 124 | 0 | 291 | 1 | 64 |
| 506 | Madnessless | 94 | 184 | 13 | 291 | 1 | 2,159 |
| 507 | MoonMatthew | 211 | 46 | 31 | 288 | 1 | 743 |
| 508 | totoh111 | 200 | 72 | 14 | 286 | 2 | 1,165 |
| 509 | dev_life | 107 | 158 | 20 | 285 | 2 | 1,826 |
| 510 | empolainenn | 202 | 81 | 0 | 283 | 1 | 725 |
| 511 | teej73 | 222 | 55 | 0 | 277 | 1 | 2,007 |
| 512 | Money-Cry-2397 | 153 | 115 | 0 | 268 | 1 | 445 |
| 513 | Other-Nail8169 | 37 | 177 | 54 | 268 | 1 | 495 |
| 514 | logz93 | 255 | 10 | 0 | 265 | 1 | 1,680 |
| 515 | jaspertr123 | 12 | 12 | 240 | 264 | 1 | 1,099 |
| 516 | Stubborn_Bastard | 43 | 217 | 0 | 260 | 1 | 1,617 |
| 517 | 6079_Smith | 2 | 257 | 0 | 259 | 1 | 4,307 |
| 518 | shleebshloob | 166 | 88 | 0 | 254 | 1 | 290 |
| 519 | yous1122 | 75 | 91 | 87 | 253 | 1 | 663 |
| 520 | rootiepootie1 | 165 | 83 | 0 | 248 | 1 | 425 |
| 521 | Bogdantgb | 133 | 68 | 46 | 247 | 1 | 702 |
| 522 | PogGamerStraw | 1 | 4 | 238 | 243 | 1 | 528 |
| 523 | peno64 | 39 | 201 | 0 | 240 | 1 | 1,290 |
| 524 | UniversalBlanket | 98 | 93 | 44 | 235 | 2 | 620 |
| 525 | shitmera | 119 | 103 | 8 | 230 | 1 | 1,653 |
| 526 | mikeo8817 | 17 | 185 | 24 | 226 | 1 | 1,022 |
| 527 | gnitsark | 7 | 218 | 0 | 225 | 1 | 805 |
| 528 | SalBeast123 | 118 | 83 | 24 | 225 | 1 | 1,246 |
| 529 | SoggyBiscuit7835 | 12 | 190 | 20 | 222 | 1 | 181 |
| 530 | Electroner | 164 | 22 | 35 | 221 | 1 | 929 |
| 531 | dosida | 15 | 196 | 0 | 211 | 1 | 2,528 |
| 532 | WackoKacko | 163 | 37 | 0 | 200 | 2 | 1,102 |
| 533 | noomt | 28 | 154 | 15 | 197 | 1 | 1,827 |
| 534 | PalpitationNo | 2 | 177 | 18 | 197 | 1 | 859 |
| 535 | MistyIce672 | 114 | 20 | 59 | 193 | 1 | 719 |
| 536 | plyer_760 | 27 | 21 | 142 | 190 | 1 | 974 |
| 537 | wetsuperslapper | 149 | 38 | 0 | 187 | 1 | 763 |
| 538 | aew99 | 128 | 51 | 0 | 179 | 1 | 1,913 |
| 539 | flo_was_here | 36 | 106 | 35 | 177 | 1 | 2,207 |
| 540 | aviatt | 84 | 76 | 12 | 172 | 1 | 1,245 |
| 541 | EulerMark | 128 | 40 | 0 | 168 | 1 | 403 |
| 542 | Due-Claim1146 | 55 | 15 | 92 | 162 | 1 | 616 |
| 543 | M1ngXU | 74 | 73 | 13 | 160 | 1 | 310 |
| 544 | StabbyBitchi | 137 | 23 | 0 | 160 | 1 | 413 |
| 545 | visimens-technology | 130 | 0 | 20 | 150 | 1 | 30 |
| 546 | Crapicus | 96 | 51 | 0 | 147 | 1 | 984 |
| 547 | Electrical_Leopard96 | 151 | -8 | 0 | 143 | 1 | 676 |
| 548 | parabulaz | 122 | 5 | 14 | 141 | 1 | 1,264 |
| 549 | Hylow04 | 118 | 0 | 22 | 140 | 1 | 1,154 |
| 550 | _rorrimmirror | 30 | 110 | 0 | 140 | 2 | 489 |
| 551 | Zarbanzo | 4 | 116 | 20 | 140 | 1 | 1,204 |
| 552 | deidara_sola | 78 | 6 | 55 | 139 | 1 | 528 |
| 553 | Tdnapa | 63 | 75 | 0 | 138 | 1 | 2,182 |
| 554 | EmptyTeaCupOnDesk | 100 | 36 | 0 | 136 | 2 | 218 |
| 555 | Erne783 | 137 | -3 | 0 | 134 | 3 | 807 |
| 556 | mateoq9512 | 72 | 58 | 0 | 130 | 1 | 944 |
| 557 | koola94 | 84 | 46 | 0 | 130 | 1 | 3,842 |
| 558 | AntoineSacre | 15 | 98 | 15 | 128 | 1 | 900 |
| 559 | hepterci | 84 | 12 | 31 | 127 | 1 | 1,731 |
| 560 | iamnotbonk | 93 | 32 | 0 | 125 | 1 | 374 |
| 561 | hacksidon | 117 | 8 | 0 | 125 | 1 | 165 |
| 562 | Pancho3D2312 | 76 | 31 | 18 | 125 | 1 | 25 |
| 563 | Dieseltwitch | 58 | 66 | 0 | 124 | 1 | 2,359 |
| 564 | ContactBackground917 | 94 | 4 | 20 | 118 | 6 | 34 |
| 565 | SpecialSauce409 | 82 | 25 | 0 | 107 | 1 | 575 |
| 566 | EffectEffective5012 | 19 | 7 | 80 | 106 | 2 | 505 |
| 567 | Yungblude | 67 | 39 | 0 | 106 | 1 | 2,579 |
| 568 | ill_us_ions | 20 | 54 | 32 | 106 | 1 | 1,185 |
| 569 | ARedGear | 34 | 53 | 18 | 105 | 1 | 3,329 |
| 570 | ZippyBlume | 96 | 7 | 0 | 103 | 3 | 770 |
| 571 | dicknob | 73 | 27 | 0 | 100 | 2 | 3,076 |
| 572 | ogge0712 | 40 | 43 | 16 | 99 | 1 | 1,153 |
| 573 | freysbrewing | 57 | 22 | 20 | 99 | 1 | 2,125 |
| 574 | Mbomb23 | 16 | 83 | 0 | 99 | 1 | 1,260 |
| 575 | MyVanitar | 95 | 1 | 0 | 96 | 1 | 1,076 |
| 576 | EntertainerGreat4709 | 33 | 61 | 0 | 94 | 1 | 673 |
| 577 | Apprehensive_Pin6250 | 2 | 90 | 0 | 92 | 1 | 252 |
| 578 | mr4hughz | 11 | 44 | 33 | 88 | 1 | 930 |
| 579 | OrderHugin | 45 | 42 | 0 | 87 | 1 | 789 |
| 580 | kevkevz24 | 49 | 37 | 0 | 86 | 1 | 751 |
| 581 | Embedded_AMS | 1 | 85 | 0 | 86 | 1 | 987 |
| 582 | Athanni | 5 | 60 | 20 | 85 | 1 | 346 |
| 583 | GameWarrior911 | 1 | 13 | 71 | 85 | 1 | 571 |
| 584 | pforprateik | 58 | 7 | 18 | 83 | 1 | 740 |
| 585 | realjamin | 44 | 36 | 0 | 80 | 1 | 195 |
| 586 | Proud_Money480 | 71 | 8 | 0 | 79 | 1 | 765 |
| 587 | Historical-Display13 | 62 | 17 | 0 | 79 | 1 | 471 |
| 588 | cndewil | 50 | 8 | 20 | 78 | 1 | 2,848 |
| 589 | I-Lupus-I | 12 | 66 | 0 | 78 | 1 | 986 |
| 590 | Key_Set4984 | 2 | 76 | 0 | 78 | 1 | 849 |
| 591 | laine_emperor | 17 | 59 | 0 | 76 | 1 | 927 |
| 592 | yacozz | 31 | 25 | 20 | 76 | 1 | 603 |
| 593 | eric1524 | 29 | 11 | 34 | 74 | 1 | 345 |
| 594 | rafiki75 | 14 | 60 | 0 | 74 | 1 | 2,380 |
| 595 | Bright-Author5975 | 36 | 36 | 0 | 72 | 1 | 324 |
| 596 | BaldEagle2525 | 62 | 8 | 0 | 70 | 1 | 504 |
| 597 | IndependenceOk1464 | 50 | 20 | 0 | 70 | 1 | 440 |
| 598 | Quiet_Lifeguard_7131 | 51 | 17 | 0 | 68 | 1 | 818 |
| 599 | MyCousinIsJoePesci | 10 | 57 | 0 | 67 | 1 | 2,180 |
| 600 | Bl4sto1s3 | 45 | 21 | 0 | 66 | 6 | 1,797 |
| 601 | Lone-Ace | 40 | 6 | 20 | 66 | 1 | 738 |
| 602 | dr-gongas | 11 | 14 | 40 | 65 | 1 | 924 |
| 603 | Limp_Disk852 | 27 | 37 | 0 | 64 | 2 | 425 |
| 604 | nokia_isback | 58 | 4 | 0 | 62 | 1 | 1,487 |
| 605 | doctorbean04 | 5 | 56 | 0 | 61 | 1 | 118 |
| 606 | Huge-Tooth4186 | 29 | 31 | 0 | 60 | 1 | 696 |
| 607 | MartiniMini | 33 | 26 | 0 | 59 | 1 | 2,217 |
| 608 | Franz__Johan | 3 | 5 | 49 | 57 | 1 | 249 |
| 609 | Business-Builder7227 | 42 | 14 | 0 | 56 | 2 | 736 |
| 610 | dodgers-2020 | 22 | 33 | 0 | 55 | 1 | 719 |
| 611 | brooklyninja | 22 | 32 | 0 | 54 | 1 | 1,915 |
| 612 | Correct_Visual3294 | 15 | 39 | 0 | 54 | 1 | 511 |
| 613 | thecampervansit | 45 | 9 | 0 | 54 | 1 | 1,648 |
| 614 | zalda__ | 44 | 7 | 0 | 51 | 1 | 604 |
| 615 | CommissionNo9617 | 24 | 23 | 0 | 47 | 1 | 44 |
| 616 | No-Intern7551 | 20 | 27 | 0 | 47 | 1 | 171 |
| 617 | Intelligent_Letter25 | 43 | 4 | 0 | 47 | 1 | 742 |
| 618 | FrezcoBatumbakal | 27 | -3 | 22 | 46 | 1 | 244 |
| 619 | Automatic-Cry7127 | 11 | 35 | 0 | 46 | 1 | 607 |
| 620 | FitKing8131 | 35 | 10 | 0 | 45 | 1 | 529 |
| 621 | JustWait7546 | 44 | 0 | 0 | 44 | 2 | 657 |
| 622 | GrrrForLife | 5 | 38 | 0 | 43 | 1 | 60 |
| 623 | Alternative-Motor-45 | 22 | -10 | 31 | 43 | 1 | 624 |
| 624 | IronLightingPanther | 23 | 19 | 0 | 42 | 1 | 695 |
| 625 | No-Lyf45 | 5 | 36 | 0 | 41 | 1 | 817 |
| 626 | JerryMclobster | 1 | 25 | 15 | 41 | 1 | 928 |
| 627 | Blenderadventurer | 2 | 37 | 0 | 39 | 2 | 428 |
| 628 | JasTheGew6969 | 18 | 21 | 0 | 39 | 1 | 426 |
| 629 | AutumnAteEverything | 23 | 15 | 0 | 38 | 1 | 735 |
| 630 | iHayri | 37 | 0 | 0 | 37 | 1 | 809 |
| 631 | Thundergun809 | 19 | -8 | 25 | 36 | 1 | 578 |
| 632 | that_marouk_ish | 9 | 9 | 18 | 36 | 1 | 16 |
| 633 | Omnia_et_nihil | 6 | 29 | 0 | 35 | 1 | 65 |
| 634 | Dry_Explorer656 | 9 | 1 | 25 | 35 | 1 | 318 |
| 635 | graffy_films | 31 | 3 | 0 | 34 | 1 | 1,370 |
| 636 | Secret_Tax5218 | 33 | 0 | 0 | 33 | 2 | 730 |
| 637 | LevelMane | 26 | 7 | 0 | 33 | 1 | 141 |
| 638 | Own-Concentrate2128 | 9 | 24 | 0 | 33 | 1 | 490 |
| 639 | jb0417 | 4 | 29 | 0 | 33 | 1 | 299 |
| 640 | M0bi0us0ne | 20 | 12 | 0 | 32 | 1 | 1,482 |
| 641 | Caribou_Jim | 21 | 10 | 0 | 31 | 1 | 2,194 |
| 642 | Tricky-Ad-4954 | 28 | 3 | 0 | 31 | 1 | 702 |
| 643 | CoffeeKing2 | 18 | 12 | 0 | 30 | 1 | 224 |
| 644 | c4m1l020 | 16 | 14 | 0 | 30 | 1 | 24 |
| 645 | KcinimoD81 | 9 | 2 | 18 | 29 | 4 | 1,091 |
| 646 | Sr_Ika | 1 | 11 | 15 | 27 | 1 | 109 |
| 647 | bradvincent | 24 | 2 | 0 | 26 | 1 | 4,066 |
| 648 | Smurfitchyy | 19 | 7 | 0 | 26 | 1 | 1,187 |
| 649 | BarbellSymmetry | 3 | 23 | 0 | 26 | 1 | 30 |
| 650 | Gut-Zeit | 26 | 0 | 0 | 26 | 1 | 389 |
| 651 | catweed920 | 14 | 12 | 0 | 26 | 1 | 158 |
| 652 | BuilderOfLife52 | 22 | 2 | 0 | 24 | 1 | 223 |
| 653 | MyUsernameIsTaken22 | 4 | 8 | 12 | 24 | 1 | 1,480 |
| 654 | coreyakacorey2 | 8 | 0 | 15 | 23 | 1 | 620 |
| 655 | HaSc4Z | 20 | 3 | 0 | 23 | 1 | 654 |
| 656 | Quick-Internal2395 | 1 | 22 | 0 | 23 | 1 | 53 |
| 657 | dinkeldoor | 8 | 14 | 0 | 22 | 1 | 1,251 |
| 658 | NeBulizeRr | 1 | 6 | 15 | 22 | 1 | 2,300 |
| 659 | Dangerous-Formal7509 | 7 | 14 | 0 | 21 | 1 | 629 |
| 660 | Plane-Needleworker-6 | 20 | 0 | 0 | 20 | 1 | 800 |
| 661 | yaguey22 | 13 | 7 | 0 | 20 | 1 | 666 |
| 662 | TheYellowFox47 | 18 | 0 | 0 | 18 | 1 | 57 |
| 663 | AppropriateAd1953 | 18 | 0 | 0 | 18 | 1 | 817 |
| 664 | ilgeipek | 14 | 3 | 0 | 17 | 1 | 53 |
| 665 | bjm621 | 15 | 2 | 0 | 17 | 1 | 978 |
| 666 | jjmanslitfrfr | 7 | 9 | 0 | 16 | 1 | 172 |
| 667 | FachoFacho | 14 | 2 | 0 | 16 | 1 | 759 |
| 668 | BixTheDev | 1 | 14 | 0 | 15 | 1 | 105 |
| 669 | hexhorse | 28 | -19 | 6 | 15 | 1 | 1,190 |
| 670 | NoPeak1278 | 9 | 5 | 0 | 14 | 1 | 629 |
| 671 | Glittering_Ad3249 | 2 | 11 | 0 | 13 | 1 | 742 |
| 672 | divineratio1618033 | 8 | 5 | 0 | 13 | 1 | 306 |
| 673 | phillosophy36 | 12 | 1 | 0 | 13 | 1 | 680 |
| 674 | Muted-Interview-5719 | 11 | 2 | 0 | 13 | 1 | 539 |
| 675 | meanpotatoXD | 4 | 8 | 0 | 12 | 1 | 801 |
| 676 | t6ro | 7 | 5 | 0 | 12 | 2 | 21 |
| 677 | lma0o0o00 | 8 | 3 | 0 | 11 | 1 | 924 |
| 678 | Twisted-2 | 7 | 4 | 0 | 11 | 1 | 191 |
| 679 | Independent-Tower-87 | 11 | 0 | 0 | 11 | 1 | 54 |
| 680 | BuildingGreatness | 9 | 2 | 0 | 11 | 1 | 353 |
| 681 | AFewBearSloths | 1 | 10 | 0 | 11 | 1 | 277 |
| 682 | cubaseExtension | 7 | 3 | 0 | 10 | 1 | 133 |
| 683 | Mr_Memer124 | 1 | 9 | 0 | 10 | 3 | 269 |
| 684 | molten_666 | 5 | 5 | 0 | 10 | 1 | 271 |
| 685 | Horror-Enthusiasm265 | 4 | 5 | 0 | 9 | 1 | 490 |
| 686 | 0x881am | 4 | 5 | 0 | 9 | 1 | 299 |
| 687 | Willing-Engineer2533 | 8 | 0 | 0 | 8 | 1 | 31 |
| 688 | wSdNzEPrwwY | 6 | 2 | 0 | 8 | 1 | 126 |
| 689 | Gianni_Moretti | 5 | 3 | 0 | 8 | 1 | 41 |
| 690 | leo33_ | 5 | 3 | 0 | 8 | 1 | 986 |
| 691 | fuegosempiterno | 7 | 1 | 0 | 8 | 1 | 25 |
| 692 | Live_Accountant4395 | 3 | 5 | 0 | 8 | 1 | 56 |
| 693 | Rafa_RDJ | 2 | 5 | 0 | 7 | 1 | 1,200 |
| 694 | levi_strnad | 7 | 0 | 0 | 7 | 1 | 1,049 |
| 695 | cobet123 | 27 | -21 | 0 | 6 | 1 | 1,054 |
| 696 | pr0Gam3r9856 | 2 | 4 | 0 | 6 | 1 | 171 |
| 697 | A_yoyo_nerd | 6 | 0 | 0 | 6 | 1 | 70 |
| 698 | pas893 | 1 | 5 | 0 | 6 | 1 | 1,237 |
| 699 | Matthiiuss | 6 | 0 | 0 | 6 | 1 | 489 |
| 700 | CHubbard2000 | 3 | 2 | 0 | 5 | 1 | 584 |
| 701 | afposthuman | 4 | 1 | 0 | 5 | 1 | 127 |
| 702 | Street-Impress-9248 | 2 | 2 | 0 | 4 | 1 | 289 |
| 703 | youseesupport | 4 | 0 | 0 | 4 | 1 | 1,034 |
| 704 | lightwithin31 | 2 | 2 | 0 | 4 | 1 | 21 |
| 705 | meililiy | 3 | 0 | 0 | 3 | 1 | 450 |
| 706 | AdSuspicious7061 | 3 | 0 | 0 | 3 | 1 | 124 |
| 707 | sgr41 | 2 | 1 | 0 | 3 | 1 | 901 |
| 708 | mgyoung106 | 1 | 2 | 0 | 3 | 1 | 2,123 |
| 709 | Successful_Edge_5178 | 2 | 1 | 0 | 3 | 1 | 181 |
| 710 | LakshayaUtreja | 1 | 2 | 0 | 3 | 1 | 239 |
| 711 | jasonjcmar | 3 | 0 | 0 | 3 | 1 | 41 |
| 712 | Auarla | 3 | 0 | 0 | 3 | 1 | 794 |
| 713 | SprudeldudeKH | 3 | 0 | 0 | 3 | 1 | 605 |
| 714 | AniTexs | 3 | 0 | 0 | 3 | 1 | 1,948 |
| 715 | Academic-Grab5397 | 3 | 0 | 0 | 3 | 1 | 84 |
| 716 | wsakour | 1 | 1 | 0 | 2 | 1 | 180 |
| 717 | blargmuffins | 1 | 1 | 0 | 2 | 1 | 1,013 |
| 718 | BreadfruitInitial874 | 2 | 0 | 0 | 2 | 1 | 626 |
| 719 | MKMTI | 2 | 0 | 0 | 2 | 1 | 78 |
| 720 | GuyWithSomeSpareTime | 2 | 0 | 0 | 2 | 1 | 36 |
| 721 | New-Cake-4542 | 2 | 0 | 0 | 2 | 1 | 705 |
| 722 | REVO53 | 1 | 1 | 0 | 2 | 1 | 784 |
| 723 | wannhedda69 | 2 | 0 | 0 | 2 | 1 | 35 |
| 724 | Numerous_Tax_828 | 2 | 0 | 0 | 2 | 1 | 831 |
| 725 | TechCollegeTEU | 2 | 0 | 0 | 2 | 1 | 24 |
| 726 | Gamer_bobo | 1 | 1 | 0 | 2 | 1 | 262 |
| 727 | JianWGN | 1 | 1 | 0 | 2 | 1 | 841 |
| 728 | strictlyforsupport | 1 | 1 | 0 | 2 | 1 | 661 |
| 729 | No-Necessary-8789 | 1 | 0 | 0 | 1 | 1 | 637 |
| 730 | Global-Taste-872 | 1 | 0 | 0 | 1 | 1 | 25 |
| 731 | Jaswany | 1 | 0 | 0 | 1 | 1 | 266 |
| 732 | occult-punk | 1 | 0 | 0 | 1 | 1 | 26 |
| 733 | arduino17 | 1 | 0 | 0 | 1 | 2 | 60 |
| 734 | Far_Emotion2150 | 1 | 0 | 0 | 1 | 1 | 199 |
| 735 | NQJ22 | 1 | 0 | 0 | 1 | 1 | 1,364 |
| 736 | Anthonyeps | 1 | 0 | 0 | 1 | 1 | 35 |
| 737 | YaBoiKyler13 | 1 | 0 | 0 | 1 | 1 | 828 |
| 738 | Outside-Promise2405 | 1 | 0 | 0 | 1 | 1 | 38 |
| 739 | Researcher6645 | 1 | 0 | 0 | 1 | 1 | 39 |
| 740 | lucy781227 | 1 | 0 | 0 | 1 | 1 | 1,492 |
| 741 | ArdMinos | 1 | 0 | 0 | 1 | 1 | 40 |
| 742 | AdPerfect1304 | 1 | 0 | 0 | 1 | 1 | 41 |
| 743 | Illustrious_Bee_99 | 1 | 0 | 0 | 1 | 1 | 508 |
| 744 | albionegaming | 1 | 0 | 0 | 1 | 1 | 1,573 |
| 745 | NuttSkew | 1 | 0 | 0 | 1 | 2 | 19 |
| 746 | Retargus101 | 1 | 0 | 0 | 1 | 1 | 664 |
| 747 | Brooskyz_ | 1 | 0 | 0 | 1 | 1 | 348 |
| 748 | StallingTitan0 | 1 | 0 | 0 | 1 | 1 | 22 |
| 749 | JoeSchubbe | 1 | 0 | 0 | 1 | 1 | 36 |
| 750 | Honeybadger0001 | 1 | 0 | 0 | 1 | 1 | 314 |
| 751 | LeHenningo | 1 | 0 | 0 | 1 | 1 | 1,075 |
| 752 | Agentbishop45 | 1 | 0 | 0 | 1 | 1 | 15 |
| 753 | Alive-Technology-550 | 1 | 0 | 0 | 1 | 1 | 16 |
| 754 | Reviewsterr | 4 | -4 | 0 | 0 | 2 | 659 |
| 755 | Alexayh | 1 | -1 | 0 | 0 | 1 | 922 |
| 756 | DesperateCap9415 | 1 | -1 | 0 | 0 | 1 | 646 |
| 757 | smartphilip | 1 | -1 | 0 | 0 | 1 | 18 |
| 758 | Sad-Temperature-3052 | 2 | -100 | 33 | -65 | 1 | 657 |
2022.08.29 15:30 Which_Strawberry_676 NEVER FORGET dis fool right here: "Joe Biden isn't “forgiving” or “canceling” student loan debt. He's simply transferring borrowers' burden to working and middle class Americans."- Cryin' Andy Clyde
 | submitted by Which_Strawberry_676 to Athens [link] [comments] |
2022.05.31 06:03 bcpingry [WTS] Dropping a large part of my collection to buyer's delight! (Spreadsheet Included)
Lets try this again!
I apologize that this post was up and then gone. The Mods requested details for the spreadsheet and I travel for work. As amazing as my wife is, she had no clue how to help me with it. The spreadsheet has now been modified and we are back in business.
After reposting this, I will be immediately replying to all prior posts in the order they were received.
Please let me know if you have any questions and I will try to respond to all messages quickly, but it can be overwhelming when I drop a lot of knives at once.
Full list of available knives are here: Knives to Sell Google Doc. I am trying to stay diligent at keeping it current regarding availability.
Things to consider:
Custom Knife Factory - Alexey Konygin - Konygin Krokar Tail-Lock
Microtech/DC Munroe - Sigil MK6 S/N 1742 12/2017
Microtech/DC Munroe - Sigil MK6 S/N 1069 07/2017
Peter Rassenti - Snafu T Custom
We - 819 B Drakon Integral
We - 604B
submitted by bcpingry to Knife_Swap [link] [comments]
I apologize that this post was up and then gone. The Mods requested details for the spreadsheet and I travel for work. As amazing as my wife is, she had no clue how to help me with it. The spreadsheet has now been modified and we are back in business.
After reposting this, I will be immediately replying to all prior posts in the order they were received.
Please let me know if you have any questions and I will try to respond to all messages quickly, but it can be overwhelming when I drop a lot of knives at once.
Full list of available knives are here: Knives to Sell Google Doc. I am trying to stay diligent at keeping it current regarding availability.
- Custom Knife Factory - Alexey Konygin - Konygin Krokar Tail-Lock
- Hinderer - Maximus
- Curtiss - Large F3 Flipper
- Gavko - Ferrum Forge/Michal Gavac - Mako V2
- Will Moon - Custom Stormcrow
- Custom Knife Factory - Geoff Blauvelt - Tuff Knives Switch Blauvelt
- Tuya - Hive
- Gerry McGinnis - Pro Line Mini Exo
- Todd Begg Steelcraft - Mini Bodega: Steelcraft Series - Blue Frame - Silver Checkered Pattern - Two-Tone Blade
- Tuya - Talon
- Real Steel - Megalodon 2017 CF
- Brous Blades - VR-71
- Cheburkov - Russkiy
- Cheburkov - Scout W Ti
Microtech/DC Munroe - Sigil MK6 S/N 1742 12/2017*SOLDMicrotech/DC Munroe - Sigil MK6 S/N 1069 07/2017*SOLD- Shirogorov - Model 95 Nude SRBS
- Artisan Cutlery - Archaeo
- Zero Tolerance - 0462CF - Todd Rexford/Dmitry Sinkevich
- Liong Mah - Eraser
- Liong Mah - Eraser CF
- Medford - Dress Marauder
- Shirogorov - Hati
- Marfione - Matrix CF
- Marfione - Custom Apocalyptic Munroe Sigil, CF
- Peter Rassenti - Snafu Linerlock one off
- Peter Rassenti - Druid Custom
Peter Rassenti - Snafu T Custom*SOLD- Shirogorov - Model 95 Blue SRBS
We - 819 B Drakon Integral*SOLDWe - 604B*SOLD
Things to consider:
- I will ship within 48 hours after receiving payment.
- Shipping and fees are all included per sub rules; however, if it is international or requires special service, I may request more money to cover added expenses.
- If it says it is sold on the list, it is sold. Sold Knives Here (Choose second tab for sold knives)
- No trades or bartering.
- Please limit messages to my reddit inbox. Do not try to contact me on LinkedIn, Facebook, Instagram, or any other sites that you can find me. I understand that people can get really excited, but messaging me on five platforms wanting trades or absurd information is just rude. I will do my best to answer you as soon as I can. I will not be responding in the middle of the night and may be delayed on the weekend.
Custom Knife Factory - Alexey Konygin - Konygin Krokar Tail-Lock
- Condition: A+
- Blade Steel: M390
- Blade Length: 4.84”
- Album
- Price: $725
- Condition: A
- Blade Steel: S35VN
- Blade Length: 3.5”
- Album
- Price: $595
- Condition: A+
- Blade Steel: CTS-XHP
- Blade Length: 4”
- Album
- Price: $775
- Condition: A-
- Blade Steel: 154CM
- Blade Length: 3.75”
- Album
- Price: $525
- Condition: A+
- Blade Steel: CPM 20CV
- Blade Length: 3.9”
- Album
- Price: $625
- Condition: A
- Blade Steel: M390
- Blade Length: 3.46”
- Album
- Price: $600
- Condition: A
- Blade Steel: M390
- Blade Length: 3.5”
- Album
- Price: $258
- Condition: A
- Blade Steel: CPM-154
- Blade Length: 3.25”
- Album
- Price: $500
- Condition: A
- Blade Steel: S35VN
- Blade Length: 3”
- Album
- Price: $445
- Condition: A
- Blade Steel: S35VN
- Blade Length: 3.7”
- Album
- Price: $160
- Condition: A-
- Blade Steel: M390
- Blade Length: 3.93”
- Album
- Price: $175
- Condition: A
- Blade Steel: D2
- Blade Length: 4”
- Album
- Price: $300
- Condition: A+
- Blade Steel: M390
- Blade Length: 3.74”
- Album
- Price: $750
- Condition: A+
- Blade Steel: M390
- Blade Length: 3.93”
- Album
- Price: $440
Condition: ABlade Steel: M390Blade Length: 3.875”AlbumPrice: $450*SOLD\*
Condition: A-Blade Steel: ElmaxBlade Length: 3.875”AlbumPrice: $340*SOLD\*
- Condition: A
- Blade Steel: S30V
- Blade Length: 3.75”
- Album
- Price: $950
- Condition: A
- Blade Steel: M390
- Blade Length: 3.75”
- Album
- Price: $200
- Condition: A
- Blade Steel: 20CV
- Blade Length: 3.75”
- Album
- Price: $300
- Condition: A
- Blade Steel: M390
- Blade Length: 4”
- Album
- Price: $295
- Condition: A
- Blade Steel: M390
- Blade Length: 4”
- Album
- Price: $700
- Condition: A+
- Blade Steel: D2
- Blade Length: 2.625”
- Album
- Price: $550
- Condition: A-
- Blade Steel: S30V
- Blade Length: 3.75”
- Album
- Price: $965
- Condition: A
- Blade Steel: M390
- Blade Length: 3.75”
- Album
- Price: $975
- Condition: A+
- Blade Steel: Elmax
- Blade Length: 3.5”
- Album
- Price: $1,100
- Condition: A
- Blade Steel: CTS-XHP
- Blade Length: 3.5”
- Album
- Price: $1,800
- Condition: A
- Blade Steel: CTS-XHP
- Blade Length: 3.5”
- Album
- Price: $1,800
Condition: ABlade Steel: S 90 VBlade Length: 3.5”AlbumPrice: $1,500*SOLD\*
- Condition: A
- Blade Steel: M390
- Blade Length: 3.75”
- Album
- Price: $950
Condition: ABlade Steel: M390Blade Length: 3.45”AlbumPrice: $318*SOLD\*
Condition: ABlade Steel: S35VNBlade Length: 3.82”AlbumPrice: $260*SOLD\*
2022.05.31 05:58 bcpingry [WTS] Dropping a large part of my collection to buyer's delight! (Spreadsheet Included)
Thank you for checking out this post. Please let me know if you have any questions. I will try to respond to all messages quickly, but it can be overwhelming when I drop a lot of knives at once.
Full list of available knives are here: Knives to Sell Google Doc. I am trying to stay diligent at keeping it current regarding availability.
Things to consider:
Blade Steel: M390
Blade Length: 4.84”
Album
Price: $725
Blade Steel: S35VN
Blade Length: 3.5”
Album
Price: $595
Blade Steel: CTS-XHP
Blade Length: 4”
Album
Price: $775
Blade Steel: 154CM
Blade Length: 3.75”
Album
Price: $525
Blade Steel: CPM 20CV
Blade Length: 3.9”
Album
Price: $625
Blade Steel: M390
Blade Length: 3.46”
Album
Price: $600
Blade Steel: M390
Blade Length: 3.5”
Album
Price: $258
Blade Steel: CPM-154
Blade Length: 3.25”
Album
Price: $500
Blade Steel: S35VN
Blade Length: 3”
Album
Price: $445
Blade Steel: S35VN
Blade Length: 3.7”
Album
Price: $160
Blade Steel: M390
Blade Length: 3.93”
Album
Price: $175
Blade Steel: D2
Blade Length: 4”
Album
Price: $300
Blade Steel: M390
Blade Length: 3.74”
Album
Price: $750
Blade Steel: M390
Blade Length: 3.93”
Album
Price: $440
Blade Steel: M390
Blade Length: 3.875”
Album
Price: $450
Blade Steel: Elmax
Blade Length: 3.875”
Album
Price: $340
Blade Steel: S30V
Blade Length: 3.75”
Album
Price: $950
Blade Steel: M390
Blade Length: 3.75”
Album
Price: $200
Blade Steel: 20CV
Blade Length: 3.75”
Album
Price: $300
Blade Steel: M390
Blade Length: 4”
Album
Price: $295
Blade Steel: M390
Blade Length: 4”
Album
Price: $700
Blade Steel: D2
Blade Length: 2.625”
Album
Price: $550
Blade Steel: S30V
Blade Length: 3.75”
Album
Price: $965
Blade Steel: M390
Blade Length: 3.75”
Album
Price: $975
Blade Steel: Elmax
Blade Length: 3.5”
Album
Price: $1,100
Blade Steel: CTS-XHP
Blade Length: 3.5”
Album
Price: $1,800
Blade Steel: CTS-XHP
Blade Length: 3.5”
Album
Price: $1,800
Blade Steel: S 90 V
Blade Length: 3.5”
Album
Price: $1,500
Blade Steel: M390
Blade Length: 3.75”
Album
Price: $950
Blade Steel: M390
Blade Length: 3.45”
Album
Price: $318
Blade Steel: S35VN
Blade Length: 3.82”
Album
Price: $260
submitted by bcpingry to u/bcpingry [link] [comments]
Full list of available knives are here: Knives to Sell Google Doc. I am trying to stay diligent at keeping it current regarding availability.
- Custom Knife Factory - Alexey Konygin - Konygin Krokar Tail-Lock
- Hinderer - Maximus
- Curtiss - Large F3 Flipper
- Gavko - Ferrum Forge/Michal Gavac - Mako V2
- Will Moon - Custom Stormcrow
- Custom Knife Factory - Geoff Blauvelt - Tuff Knives Switch Blauvelt
- Tuya - Hive
- Gerry McGinnis - Pro Line Mini Exo
- Todd Begg Steelcraft - Mini Bodega: Steelcraft Series - Blue Frame - Silver Checkered Pattern - Two-Tone Blade
- Tuya - Talon
- Real Steel - Megalodon 2017 CF
- Brous Blades - VR-71
- Cheburkov - Russkiy
- Cheburkov - Scout W Ti
- Microtech/DC Munroe - Sigil MK6 S/N 1742 12/2017
- Microtech/DC Munroe - Sigil MK6 S/N 1069 07/2017
- Shirogorov - Model 95 Nude SRBS
- Artisan Cutlery - Archaeo
- Zero Tolerance - 0462CF - Todd Rexford/Dmitry Sinkevich
- Liong Mah - Eraser
- Liong Mah - Eraser CF
- Medford - Dress Marauder
- Shirogorov - Hati
- Marfione - Matrix CF
- Marfione - Custom Apocalyptic Munroe Sigil, CF
- Peter Rassenti - Snafu Linerlock one off
- Peter Rassenti - Druid Custom
- Peter Rassenti - Snafu T Custom
- Shirogorov - Model 95 Blue SRBS
- We - 819 B Drakon Integral
- We - 604B
Things to consider:
- I will ship within 48 hours after receiving payment.
- Shipping and fees are all included per sub rules; however, if it is international or requires special service, I may request more money to cover added expenses.
- If it says it is sold on the list, it is sold. Sold Knives Here (Choose second tab for sold knives)
- No trades or bartering.
- Please limit messages to my reddit inbox. Do not try to contact me on LinkedIn, Facebook, Instagram, or any other sites that you can find me. I understand that people can get really excited, but messaging me on five platforms wanting trades or absurd information is just rude. I will do my best to answer you as soon as I can. I will not be responding in the middle of the night and may be delayed on the weekend.
- Custom Knife Factory - Alexey Konygin - Konygin Krokar Tail-Lock
Blade Steel: M390
Blade Length: 4.84”
Album
Price: $725
- Hinderer - Maximus
Blade Steel: S35VN
Blade Length: 3.5”
Album
Price: $595
- Curtiss - Large F3 Flipper
Blade Steel: CTS-XHP
Blade Length: 4”
Album
Price: $775
- Gavko - Ferrum Forge/Michal Gavac - Mako V2
Blade Steel: 154CM
Blade Length: 3.75”
Album
Price: $525
- Will Moon - Custom Stormcrow
Blade Steel: CPM 20CV
Blade Length: 3.9”
Album
Price: $625
- Custom Knife Factory - Geoff Blauvelt - Tuff Knives Switch Blauvelt
Blade Steel: M390
Blade Length: 3.46”
Album
Price: $600
- Tuya - Hive
Blade Steel: M390
Blade Length: 3.5”
Album
Price: $258
- Gerry McGinnis - Pro Line Mini Exo
Blade Steel: CPM-154
Blade Length: 3.25”
Album
Price: $500
- Todd Begg Steelcraft - Mini Bodega: Steelcraft Series - Blue Frame - Silver Checkered Pattern - Two-Tone Blade
Blade Steel: S35VN
Blade Length: 3”
Album
Price: $445
- Tuya - Talon
Blade Steel: S35VN
Blade Length: 3.7”
Album
Price: $160
- Real Steel - Megalodon 2017 CF
Blade Steel: M390
Blade Length: 3.93”
Album
Price: $175
- Brous Blades - VR-71
Blade Steel: D2
Blade Length: 4”
Album
Price: $300
- Cheburkov - Russkiy
Blade Steel: M390
Blade Length: 3.74”
Album
Price: $750
- Cheburkov - Scout W Ti
Blade Steel: M390
Blade Length: 3.93”
Album
Price: $440
- Microtech/DC Munroe - Sigil MK6 S/N 1742 12/2017
Blade Steel: M390
Blade Length: 3.875”
Album
Price: $450
- Microtech/DC Munroe - Sigil MK6 S/N 1069 07/2017
Blade Steel: Elmax
Blade Length: 3.875”
Album
Price: $340
- Shirogorov - Model 95 Nude SRBS
Blade Steel: S30V
Blade Length: 3.75”
Album
Price: $950
- Artisan Cutlery - Archaeo
Blade Steel: M390
Blade Length: 3.75”
Album
Price: $200
- Zero Tolerance - 0462CF - Todd Rexford/Dmitry Sinkevich
Blade Steel: 20CV
Blade Length: 3.75”
Album
Price: $300
- Liong Mah - Eraser
Blade Steel: M390
Blade Length: 4”
Album
Price: $295
- Liong Mah - Eraser CF
Blade Steel: M390
Blade Length: 4”
Album
Price: $700
- Medford - Dress Marauder
Blade Steel: D2
Blade Length: 2.625”
Album
Price: $550
- Shirogorov - Hati
Blade Steel: S30V
Blade Length: 3.75”
Album
Price: $965
- Marfione - Matrix CF
Blade Steel: M390
Blade Length: 3.75”
Album
Price: $975
- Marfione - Custom Apocalyptic Munroe Sigil, CF
Blade Steel: Elmax
Blade Length: 3.5”
Album
Price: $1,100
- Peter Rassenti - Snafu Linerlock one off
Blade Steel: CTS-XHP
Blade Length: 3.5”
Album
Price: $1,800
- Peter Rassenti - Druid Custom
Blade Steel: CTS-XHP
Blade Length: 3.5”
Album
Price: $1,800
- Peter Rassenti - Snafu T Custom
Blade Steel: S 90 V
Blade Length: 3.5”
Album
Price: $1,500
- Shirogorov - Model 95 Blue SRBS
Blade Steel: M390
Blade Length: 3.75”
Album
Price: $950
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2022.05.12 16:47 enterprisevalue Ontario May 12: 2,160 Cases, 14 Deaths, 16,360 tests (13.2% to 10.7% pos.) 🏥 ICUs: 175 (-1 vs. yest.) (-30 vs. last wk) 💉 29,173 admin, 90.25% / 86.94% / 52.37% (+0.01%, / +0.01% / 0.02%) of 5+ at least 1/2/3 dosed,
Link to report: https://files.ontario.ca/moh-covid-19-report-en-2022-05-12.pdf
Detailed tables: Google Sheets mode and some TLDR charts
Testing data: - Source
Vaccines - detailed data: Source
Schools Data:
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
Jail Data - (latest data as of May 10) Source
Main data table:
Vaccine coverage by PHU/age group - as of May 12 (% at least two/three dosed, chg. week) -
Canada comparison - Source - data as of April 13
LTCs with 5+ new cases today: Why are there 0.5 cases/deaths?
LTC Deaths today: - this section is reported by the Ministry of LTC and the data may not reconcile with the LTC data above because that is published by the MoH.
Today's deaths:
submitted by enterprisevalue to CanadaCoronavirus [link] [comments]
Detailed tables: Google Sheets mode and some TLDR charts
- Throwback Ontario May 12, 2020 update: 361 New Cases, 260 Recoveries, 56 Deaths, 11,957 tests (3.02% positive), Current ICUs: 211 (-4 vs. yesterday) (-32 vs. last week)
- Throwback Ontario May 12, 2021 update: 2320 New Cases, 3477 Recoveries, 32 Deaths, 45,681 tests (5.08% positive), Current ICUs: 776 (-26 vs. yesterday) (-106 vs. last week)
- Backlog: 6,410 (+826), 16,360 tests completed (1,361.5 per 100k in week) 17,186 swabbed
- MoH positive rate: 10.7% - differs from the cases/tests calc.
- Positive rate (Day/Week/Prev Week): 13.20% / 12.82% / 14.45% - Chart
- New cases with episode dates in last 3 days: 1,174 / 1,005 / 1,265 (+145 vs. yesterday week avg)
- New cases - episode dates in last 7 days: 1,797 / 1,521 / 1,808 (+217 vs. yesterday week avg)
- New cases - episode dates in last 30 days: 2,076 / 1,784 / 2,186 (+223 vs. yesterday week avg)
- New cases - ALL episode dates: 2,160 / 1,852 / 2,258 (+230 vs. yesterday week avg)
- 7 day average: 1,852 (-77.1 vs. yesterday) (-406 or -18.0% vs. last week), (-1,567 or -45.8% vs. 30 days ago)
- Today's Rt estimate: 0.89 - Historical
- Active cases: 20,755 (-456 vs. yesterday) (-5,318 vs. last week) - Chart
- Current hospitalizations: 1,451(-77), ICUs: 175(-1), Ventilated: 75(-6), [vs. last week: -225 / -30 / -25] - Chart
- New hospitalizations (Week/prev week avgs.): 26 (81.0 / 108.7), ICUs: 3 (7.1 / 11.9),
- Total reported cases to date: 1,281,360
- Hospitalizations / ICUs/ +veICU count by Ontario Health Region (ICUs vs. last week): East: 330/49/35(-14), West: 466/49/33(-10), Toronto: 161/18/14(-1), Central: 301/46/42(+0), North: 193/13/12(-5), Total: 1451 / 175 / 136
- Rolling case fatality rates for outbreak and non-outbreak cases
- Chart showing the 7 day average of cases per 100k by age group
- Cases and vaccinations by postal codes (first 3 letters)
- Details on post-vaccination cases
- 40.3% / 61.2% of the hospitalizations/ICU numbers are people there FOR COVID.
- Of the 14 deaths with details today, 10 were caused by COVID, 8 were contributed to by COVID and -4 were unknown
- 106 / 35 new LTC resident/HCW cases - Chart of active 70+ cases split by outbreak and non-outbreak cases
- 5 / 21 / 81 / 224 / 4521 LTC deaths in last day / week / 30 / 100 days / all-time
- Total COVID/non-COVID ICU patients: 173 / 1,540 (-29/ +28)
- Total avail ICU capacity for ALL: 630 (+1)
- Total ICU capacity: 2,343
| Metric | Not_FullVax | Not_FullVax_5+ | Full | Boosted | Unknown |
|---|---|---|---|---|---|
| Cases - today | 228 | -54 | 403 | 1,396 | 133 |
| Cases Per 100k - today | 8.58 | 9.01 | 8.28 | 19.13 | - |
| Risk vs. boosted - today | 0.45x | 0.47x | 0.45x | 1.00x | - |
| Case % less (more) risk vs. not full vax - today | - | - | 8.1% | -112.4% | - |
| Avg daily Per 100k - week | 7.92 | 7.39 | 6.92 | 16.29 | - |
| Risk vs. boosted - week | 0.45x | 0.45x | 0.45x | 1.00x | - |
| Case % less risk vs. unvax - week | - | - | 6.4% | -120.4% | - |
| Metric | Unvax_All | Unvax_5+ | Partial | Full | Unknown |
|---|---|---|---|---|---|
| ICU - count | 23 | n/a | 8 | 68 | 76 |
| ICU per mill | 10.51 | - | 17.04 | 5.59 | - |
| ICU % less risk vs. unvax | - | - | -62.2% | 46.8% | - |
| ICU risk vs. full | 1.88x | - | 3.05x | 1.00x | - |
| Non_ICU Hosp - count | 218 | n/a | 53 | 902 | - |
| Non_ICU Hosp per mill | 99.59 | - | 112.91 | 74.15 | - |
| Non_ICU Hosp % less risk vs. unvax | - | - | -13.4% | 25.5% | - |
| Non_ICU Hosp risk vs. full | 1.34x | - | 1.52x | 1.00x | - |
| Age group per 100k - day - May 12: | |||||
| 0-4yrs | 8.30 | - | 0.00 | 0.00 | - |
| 5-11yrs | 4.45 | - | 8.21 | 0.00 | - |
| 12-17yrs | 5.67 | - | 4.92 | 6.39 | - |
| 18-39yrs | 7.48 | - | 7.08 | 19.75 | - |
| 40-59yrs | 10.06 | - | 9.88 | 20.63 | - |
| 60+ | 46.19 | - | 14.77 | 18.39 | - |
- Total admin: 33,027,991 (+29,173 / +163,194 in last day/week)
- First doses admin: 12,647,204 / (+1,120 / +7,139 in last day/week)
- Second doses admin: 12,182,139 (+1,380 / +8,721 in last day/week)
- Third doses admin: 7,337,274 (+2,771 / +17,917 in last day/week)
- 85.33% / 82.19% / 49.50% of all Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.02% today) (0.05% / 0.06% / 0.12% in last week)
- 90.25% / 86.94% / 52.37% of 5+ Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.02% today) (0.05% / 0.06% / 0.13% in last week)
- 0.144% / 0.717% of the remaining 12+ unvaccinated population got vaccinated today/this week
- To date, 35,805,101 vaccines have been delivered to Ontario (last updated February 3) - Source
- There are 2,777,110 unused vaccines which will take 119.1 days to administer based on the current 7 day average of 23,313 /day
- Ontario's population is 14,822,201 as published here. Age group populations as provided by the MOH here
- Vaccine uptake report (updated weekly) incl. vaccination coverage by PHUs - link
- Based on this week's vaccination rates, 60% of 5+ Ontarians will have received boosters by June 27, 2023 at 12:09 - 411 days to go
| Age | Cases/100k | First doses | Second doses | Third doses | First Dose % (day/week) | Second Dose % (day/week) | Third Dose % (day/week) |
|---|---|---|---|---|---|---|---|
| 05-11yrs | 3.4 | 169 | 368 | 2 | 56.42% (+0.02% / +0.10%) | 35.68% (+0.03% / +0.25%) | 0.01% (+0.00% / +0.00%) |
| 12-17yrs | 3.9 | 95 | 137 | 203 | 90.23% (+0.01% / +0.06%) | 93.00% (+0.01% / +0.10%) | 15.97% (+0.02% / +0.16%) |
| 18-29yrs | 10.8 | 226 | 259 | 509 | 89.40% (+0.01% / +0.06%) | 85.95% (+0.01% / +0.06%) | 38.45% (+0.02% / +0.14%) |
| 30-39yrs | 16.8 | 191 | 222 | 435 | 91.06% (+0.01% / +0.06%) | 88.34% (+0.01% / +0.06%) | 47.14% (+0.02% / +0.13%) |
| 40-49yrs | 18.9 | 123 | 104 | 320 | 91.10% (+0.01% / +0.04%) | 89.14% (+0.01% / +0.04%) | 53.89% (+0.02% / +0.11%) |
| 50-59yrs | 15.2 | 106 | 100 | 314 | 91.22% (+0.01% / +0.03%) | 89.62% (+0.00% / +0.03%) | 62.74% (+0.02% / +0.10%) |
| 60-69yrs | 12.7 | 115 | 114 | 438 | 97.72% (+0.01% / +0.04%) | 96.25% (+0.01% / +0.03%) | 78.87% (+0.02% / +0.15%) |
| 70-79yrs | 13.7 | 58 | 49 | 352 | 100.70% (+0.01% / +0.03%) | 99.32% (+0.00% / +0.03%) | 88.75% (+0.03% / +0.18%) |
| 80+ yrs | 43.0 | 36 | 25 | 198 | 103.06% (+0.01% / +0.02%) | 100.75% (+0.00% / +0.02%) | 89.90% (+0.03% / +0.19%) |
| Unknown | 1 | 2 | 0 | 0.01% (+0.00% / +0.00%) | 0.01% (+0.00% / +0.00%) | 0.00% (+0.00% / +0.00%) | |
| Total - 18+ | 855 | 873 | 2,566 | 93.30% (+0.01% / +0.05%) | 91.07% (+0.01% / +0.04%) | 60.01% (+0.02% / +0.14%) | |
| Total - 12+ | 950 | 1,010 | 2,769 | 93.07% (+0.01% / +0.05%) | 91.21% (+0.01% / +0.05%) | 56.73% (+0.02% / +0.14%) | |
| Total - 5+ | 1,119 | 1,378 | 2,771 | 90.25% (+0.01% / +0.05%) | 86.94% (+0.01% / +0.06%) | 52.37% (+0.02% / +0.13%) |
- The median school has 10% of students/staff absent. The interquartile range is 8% to 13%
- New outbreak cases: 81
- New outbreak cases (groups with 2+): Hospital (8), Long-term care home (32), Retirement home (32), Congregate other (6), Group home/supportive housing (2),
- 531 active cases in outbreaks (-113 vs. last week)
- Major categories with active cases (vs. last week): Long-Term Care Homes: 195(-25), Retirement Homes: 136(-32), Hospitals: 91(-14), Group Home/Supportive Housing: 63(-35), Shelter: 20(-2), Congregate other: 19(-5), Correctional Facility: 7(+0),
- Chile: 90.9, South Korea: 86.8, China: 86.6, Australia: 83.6,
- Canada: 82.3, Argentina: 81.8, Japan: 80.7, Italy: 79.4,
- France: 78.3, Brazil: 77.1, Germany: 76.8, European Union: 73.6,
- Saudi Arabia: 70.2, Bangladesh: 70.2, Iran: 67.8, United States: 66.4,
- Israel: 66.1, India: 62.5, Turkey: 62.4, Indonesia: 60.0,
- Pakistan: 54.3, Russia: 50.5, Egypt: 33.2, South Africa: 30.8,
- Nigeria: 7.5,
- Map charts showing rates of at least one dose and total doses per 100 people
- Chile: 95.9 (90.9) South Korea: 70.9 (86.8) Italy: 66.3 (79.4) Germany: 64.2 (76.8) Israel: 57.0 (66.1)
- France: 56.0 (78.3) Japan: 55.4 (80.7) Canada: 53.8 (82.3) Australia: 52.5 (83.6) China: 52.4 (86.6)
- European Union: 52.0 (73.6) Argentina: 48.0 (81.8) Turkey: 43.2 (62.4) Brazil: 42.6 (77.1) Iran: 32.0 (67.8)
- United States: 30.6 (66.3) Indonesia: 13.6 (60.0) Russia: 9.7 (50.5) Bangladesh: 7.9 (70.2) South Africa: 4.8 (30.8)
- Pakistan: 3.2 (54.3) Egypt: 2.6 (33.2) India: 2.1 (62.5) Nigeria: 0.5 (7.5)
- Australia: 1235.2 (86.45) Germany: 551.5 (76.9) South Korea: 500.2 (87.79) Italy: 466.1 (84.1)
- France: 379.6 (80.63) European Union: 314.4 (75.52) Spain: 225.5 (n/a) Japan: 190.5 (81.98)
- United States: 181.0 (77.79) Israel: 158.0 (72.2) Chile: 105.9 (93.28) United Kingdom: 100.8 (n/a)
- Canada: 93.2 (85.89) South Africa: 89.6 (35.69) Brazil: 53.9 (85.54) Argentina: 38.7 (90.02)
- Russia: 23.7 (55.46) Vietnam: 21.9 (n/a) Sweden: 21.4 (n/a) Turkey: 13.2 (68.0)
- Saudi Arabia: 7.7 (74.9) China: 4.8 (89.05) Mexico: 4.6 (n/a) Iran: 3.3 (75.75)
- India: 1.6 (72.24) Indonesia: 0.5 (72.13) Pakistan: 0.4 (59.74) Ethiopia: 0.2 (n/a)
- Bangladesh: 0.1 (77.47) Nigeria: 0.0 (12.96) Egypt: 0.0 (44.59)
- France: 294, Germany: 184, Canada: 163, Chile: 135, South Korea: 116,
- Israel: 92, Italy: 84, United States: 80, Australia: 68, South Africa: 63,
- United Kingdom: 47,
- NY: 9,688 (348.6), CA: 8,618 (152.7), FL: 5,765 (187.9), IL: 5,401 (298.3), PR: 4,507 (987.9),
- MI: 3,945 (276.5), NJ: 3,908 (308.0), MA: 3,858 (391.8), PA: 3,140 (171.7), TX: 2,939 (71.0),
- NC: 2,609 (174.1), VA: 2,354 (193.0), WA: 2,281 (209.6), WI: 2,188 (263.1), MN: 2,027 (251.5),
- MO: 1,950 (222.4), CT: 1,707 (335.2), OH: 1,573 (94.2), MD: 1,560 (180.7), OR: 1,265 (209.9),
- GA: 1,262 (83.2), CO: 1,186 (144.1), IN: 839 (87.3), HI: 807 (399.0), AZ: 784 (75.4),
- PR: 83.1% (0.1%), RI: 82.7% (0.2%), VT: 81.3% (0.1%), ME: 79.7% (0.1%), CT: 79.4% (0.1%),
- MA: 79.2% (0.2%), HI: 78.3% (0.1%), DC: 77.8% (0.2%), NY: 77.1% (0.1%), MD: 75.8% (0.1%),
- NJ: 75.8% (0.1%), VA: 73.3% (0.1%), WA: 72.7% (0.1%), CA: 72.2% (0.1%), NM: 71.2% (0.1%),
- NH: 70.6% (0.3%), CO: 70.3% (0.1%), OR: 69.7% (0.1%), MN: 69.3% (0.1%), DE: 69.2% (0.1%),
- IL: 69.0% (0.5%), PA: 68.6% (0.2%), FL: 67.1% (0.1%), WI: 65.7% (0.1%), UT: 64.4% (0.1%),
- NE: 63.7% (0.1%), AK: 62.4% (0.1%), IA: 62.0% (0.1%), AZ: 61.7% (0.1%), SD: 61.6% (0.2%),
- TX: 61.6% (0.1%), KS: 61.6% (0.1%), NC: 61.4% (0.2%), NV: 60.9% (0.1%), MI: 60.2% (0.1%),
- OH: 58.5% (0.1%), WV: 57.6% (0.1%), KY: 57.5% (0.1%), OK: 57.4% (0.1%), SC: 57.1% (0.1%),
- MT: 56.9% (0.1%), MO: 56.2% (0.1%), ND: 55.6% (0.7%), IN: 54.9% (0.1%), GA: 54.9% (0.1%),
- TN: 54.6% (0.1%), ID: 54.6% (0.5%), AR: 54.5% (0.1%), LA: 53.5% (0.0%), MS: 51.9% (0.1%),
- AL: 51.2% (0.1%), WY: 51.0% (0.2%),
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
| Metric | Today | 7d ago | 14d ago | 21d ago | 30d ago | Peak |
|---|---|---|---|---|---|---|
| Cases - 7-day avg | 0 | 11,242 | 17,447 | 24,997 | 40,167 | 183,084 |
| Hosp. - current | 9,619 | 11,752 | 14,967 | 17,524 | 19,587 | 39,256 |
| Vent. - current | 214 | 286 | 320 | 326 | 367 | 4,077 |
| England weekly cases/100k by age: | ||||||
| <60 | 103.7 | 120.9 | 188.6 | 269.0 | 460.8 | 2520.8 |
| 60+ | 125.6 | 163.2 | 266.7 | 403.3 | 570.5 | 1192.5 |
- Total inmate cases in last day/week: 6/86
- Total inmate tests completed in last day/week (refused test in last day/week): 255/1435 (99/300)
- Jails with 2+ cases yesterday: Toronto South Detention Centre: 2, Maplehurst Correctional Complex: 2,
| Age Group | Outbreak | CFR % | Deaths | Non-outbreak | CFR% | Deaths |
|---|---|---|---|---|---|---|
| 19 & under | 0.00% | 0 | 0.00% | 0 | ||
| 20s | 0.00% | 0 | 0.02% | 2 | ||
| 30s | 0.00% | 0 | 0.03% | 4 | ||
| 40s | 0.00% | 0 | 0.07% | 9 | ||
| 50s | 0.25% | 3 | 0.15% | 18 | ||
| 60s | 1.12% | 12 | 0.42% | 32 | ||
| 70s | 2.04% | 27 | 1.34% | 74 | ||
| 80s | 2.87% | 76 | 2.76% | 89 | ||
| 90+ | 2.93% | 61 | 6.17% | 57 |
| PHU | Today | Averages | Last 7 | Prev 7 | Totals per 100k | Last 7/100k | Prev 7/100k | Active/100k | Ages (day %)->> | <20 | 20-29 | 30-49 | 50-69 | 70+ | Source (day %)->> | Close contact | Community | Outbreak | Travel |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2160 | 1852.9 | 2258.9 | 87.3 | 106.4 | 139.6 | 9.8 | 12.3 | 32.3 | 24.8 | 20.8 | 24.0 | 59.1 | 14.8 | 2.1 | ||||
| Toronto PHU | 417 | 423.1 | 444.4 | 94.9 | 99.7 | 135.7 | 11.0 | 12.0 | 38.6 | 22.1 | 16.3 | 24.0 | 60.2 | 13.4 | 2.4 | ||||
| York | 204 | 149.3 | 163.9 | 85.3 | 93.6 | 131.0 | 11.8 | 11.8 | 35.8 | 25.0 | 15.7 | 16.2 | 73.0 | 9.3 | 1.5 | ||||
| Peel | 151 | 140.3 | 168.6 | 61.1 | 73.5 | 94.3 | 12.6 | 15.9 | 25.8 | 32.5 | 13.2 | 31.8 | 48.3 | 19.2 | 0.7 | ||||
| Ottawa | 128 | 68.9 | 118.3 | 45.7 | 78.5 | 98.6 | 10.9 | 9.4 | 39.1 | 20.3 | 20.3 | 24.2 | 57.0 | 13.3 | 5.5 | ||||
| Simcoe-Muskoka | 123 | 89.6 | 115.7 | 104.6 | 135.1 | 156.1 | 9.8 | 10.6 | 33.3 | 22.0 | 24.4 | 25.2 | 58.5 | 15.4 | 0.8 | ||||
| Hamilton | 116 | 99.6 | 119.3 | 117.7 | 141.0 | 198.9 | 3.4 | 19.8 | 31.0 | 24.1 | 21.6 | 14.7 | 67.2 | 17.2 | 0.9 | ||||
| Durham | 89 | 90.1 | 100.0 | 88.5 | 98.2 | 127.9 | 12.4 | 7.9 | 31.5 | 27.0 | 21.3 | 33.7 | 50.6 | 11.2 | 4.5 | ||||
| Waterloo Region | 71 | 48.4 | 72.1 | 58.0 | 86.4 | 97.4 | 7.0 | 19.7 | 31.0 | 19.7 | 22.5 | 28.2 | 53.5 | 18.3 | 0.0 | ||||
| Niagara | 71 | 68.6 | 77.6 | 101.6 | 114.9 | 163.8 | 1.4 | 11.3 | 31.0 | 26.8 | 28.2 | 32.4 | 39.4 | 28.2 | 0.0 | ||||
| Halton | 68 | 63.9 | 67.0 | 72.2 | 75.8 | 107.7 | 14.7 | 11.8 | 39.7 | 27.9 | 5.9 | 30.9 | 51.5 | 8.8 | 8.8 | ||||
| London | 55 | 43.3 | 61.6 | 59.7 | 84.9 | 112.3 | 9.1 | 12.7 | 32.7 | 21.8 | 23.6 | 9.1 | 83.6 | 5.5 | 1.8 | ||||
| Kingston | 53 | 51.6 | 76.3 | 169.7 | 251.1 | 359.7 | 7.5 | 5.7 | 35.8 | 24.5 | 26.4 | 20.8 | 66.0 | 13.2 | 0.0 | ||||
| Thunder Bay | 50 | 53.7 | 59.6 | 250.7 | 278.1 | 407.4 | 14.0 | 8.0 | 28.0 | 18.0 | 32.0 | 14.0 | 68.0 | 18.0 | 0.0 | ||||
| Wellington-Guelph | 42 | 31.4 | 40.6 | 70.5 | 91.1 | 121.2 | 7.1 | 7.1 | 42.9 | 16.7 | 26.2 | 9.5 | 85.7 | 4.8 | 0.0 | ||||
| Windsor | 40 | 48.0 | 63.1 | 79.1 | 104.0 | 111.1 | 12.5 | 7.5 | 27.5 | 37.5 | 15.0 | 25.0 | 52.5 | 17.5 | 5.0 | ||||
| Peterborough | 38 | 17.7 | 30.0 | 83.8 | 141.9 | 153.4 | 10.5 | 5.3 | 21.1 | 31.6 | 31.6 | 10.5 | 63.2 | 26.3 | 0.0 | ||||
| Lambton | 37 | 17.3 | 22.7 | 92.4 | 121.4 | 120.6 | 8.1 | 16.2 | 21.6 | 29.7 | 24.3 | 16.2 | 70.3 | 8.1 | 5.4 | ||||
| Southwestern | 34 | 26.4 | 29.1 | 87.5 | 96.5 | 145.2 | 5.9 | 17.6 | 26.5 | 29.4 | 20.6 | 26.5 | 52.9 | 20.6 | 0.0 | ||||
| Chatham-Kent | 32 | 19.6 | 21.1 | 128.9 | 139.2 | 167.4 | 3.1 | 15.6 | 18.8 | 28.1 | 34.4 | 12.5 | 56.2 | 28.1 | 3.1 | ||||
| Hastings | 31 | 22.7 | 33.1 | 94.4 | 137.7 | 180.4 | 6.5 | 16.1 | 25.8 | 16.1 | 32.3 | 25.8 | 51.6 | 22.6 | 0.0 | ||||
| Northwestern | 30 | 29.7 | 40.3 | 237.3 | 321.7 | 431.2 | 40.0 | 3.3 | 30.0 | 10.0 | 16.7 | 70.0 | 10.0 | 20.0 | 0.0 | ||||
| Leeds, Grenville, Lanark | 30 | 25.4 | 38.3 | 102.8 | 154.8 | 190.0 | 10.0 | 13.3 | 43.3 | 13.3 | 20.0 | 36.7 | 56.7 | 6.7 | 0.0 | ||||
| Grey Bruce | 29 | 15.0 | 23.4 | 61.8 | 96.5 | 118.3 | 3.4 | 10.3 | 20.7 | 41.4 | 24.1 | 13.8 | 58.6 | 27.6 | 0.0 | ||||
| Sudbury | 28 | 39.4 | 46.6 | 138.6 | 163.8 | 228.6 | 3.6 | 3.6 | 35.7 | 17.9 | 39.3 | 42.9 | 67.9 | -10.7 | 0.0 | ||||
| Eastern Ontario | 26 | 21.6 | 26.1 | 72.4 | 87.7 | 99.2 | 3.8 | 3.8 | 30.8 | 46.2 | 15.4 | 34.6 | 57.7 | 7.7 | 0.0 | ||||
| Algoma | 25 | 21.4 | 32.7 | 131.1 | 200.2 | 257.9 | 8.0 | 16.0 | 24.0 | 20.0 | 32.0 | 24.0 | 68.0 | 8.0 | 0.0 | ||||
| Porcupine | 22 | 12.4 | 15.6 | 104.2 | 130.6 | 209.7 | 31.8 | 18.2 | 4.5 | 13.6 | 31.8 | 27.3 | 50.0 | 18.2 | 4.5 | ||||
| Haliburton, Kawartha | 22 | 21.9 | 28.9 | 81.0 | 106.9 | 143.9 | 0.0 | 18.2 | 31.8 | 31.8 | 18.2 | 13.6 | 59.1 | 22.7 | 4.5 | ||||
| Brant | 19 | 18.3 | 20.0 | 82.5 | 90.2 | 128.9 | 5.3 | 15.8 | 21.1 | 31.6 | 26.3 | 5.3 | 63.2 | 26.3 | 5.3 | ||||
| Renfrew | 18 | 17.0 | 18.9 | 109.6 | 121.5 | 139.9 | 0.0 | 5.6 | 22.2 | 22.2 | 50.0 | 33.3 | 38.9 | 22.2 | 5.6 | ||||
| North Bay | 18 | 17.0 | 29.0 | 91.7 | 156.4 | 151.0 | 5.6 | 16.7 | 27.8 | 33.3 | 16.7 | 27.8 | 61.1 | 11.1 | 0.0 | ||||
| Huron Perth | 17 | 17.0 | 21.0 | 85.2 | 105.2 | 147.4 | 0.0 | 23.5 | 17.6 | 41.2 | 17.6 | 47.1 | 23.5 | 17.6 | 11.8 | ||||
| Haldimand-Norfolk | 15 | 18.1 | 17.3 | 111.3 | 106.1 | 150.8 | 0.0 | 20.0 | 13.3 | 26.7 | 40.0 | 20.0 | 60.0 | 13.3 | 6.7 | ||||
| Timiskaming | 11 | 5.1 | 16.7 | 110.1 | 357.9 | 360.9 | 0.0 | 18.2 | 9.1 | 54.5 | 18.2 | 9.1 | 54.5 | 36.4 | 0.0 | ||||
| Regions of Zeroes | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| PHU name | 5+ population | 12+ | 05-11yrs | 12-17yrs | 18-29yrs | 30-39yrs | 40-49yrs | 50-59yrs | 60-69yrs | 70-79yrs | 80+ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Leeds, Grenville, Lanark | 91.9%/62.8% (+0.0%/+0.1%) | 95.7%/67.4% (+0.0%/+0.2%) | 40.2%/0.0% (+0.2%/+0.0%) | 92.1%/14.6% (+0.0%/+0.2%) | 84.1%/40.5% (+0.0%/+0.2%) | 98.1%/53.3% (+0.0%/+0.1%) | 90.7%/58.1% (+0.0%/+0.1%) | 88.1%/66.0% (+0.0%/+0.1%) | 100.0%/88.7% (+0.0%/+0.2%) | 100.0%/99.6% (+0.0%/+0.2%) | 100.0%/100.0% (+0.0%/+0.0%) | |
| Northwestern | 90.9%/53.6% (+0.1%/+0.1%) | 97.0%/59.4% (+0.0%/+0.1%) | 34.2%/0.0% (+0.3%/+0.0%) | 98.2%/18.2% (+0.2%/+0.1%) | 95.8%/41.6% (+0.0%/+0.1%) | 99.6%/52.4% (+0.1%/+0.1%) | 96.5%/59.0% (+0.0%/+0.1%) | 91.7%/64.1% (+0.0%/+0.0%) | 98.1%/79.8% (+0.0%/+0.1%) | 100.0%/89.2% (+0.0%/+0.3%) | 99.7%/87.6% (+0.0%/+0.2%) | |
| Kingston | 90.4%/62.2% (+0.0%/+0.1%) | 93.5%/66.8% (+0.0%/+0.1%) | 49.0%/0.0% (+0.3%/+0.0%) | 100.0%/21.1% (+0.0%/+0.3%) | 87.6%/47.8% (+0.0%/+0.1%) | 89.3%/56.4% (+0.1%/+0.1%) | 90.4%/63.9% (-0.0%/+0.1%) | 89.0%/70.2% (+0.0%/+0.1%) | 99.7%/88.5% (+0.0%/+0.2%) | 100.0%/93.6% (+0.0%/+0.2%) | 100.0%/94.7% (+0.0%/+0.3%) | |
| City Of Ottawa | 90.1%/58.8% (+0.1%/+0.1%) | 93.7%/63.9% (+0.0%/+0.1%) | 48.0%/0.0% (+0.2%/+0.0%) | 100.0%/25.6% (+0.0%/+0.2%) | 85.0%/44.5% (+0.0%/+0.2%) | 90.2%/55.5% (+0.0%/+0.1%) | 93.8%/64.8% (+0.0%/+0.1%) | 93.8%/73.6% (+0.0%/+0.1%) | 97.8%/85.3% (+0.0%/+0.2%) | 100.0%/93.5% (+0.0%/+0.2%) | 100.0%/96.2% (+0.0%/+0.2%) | |
| Halton | 89.4%/55.3% (+0.1%/+0.1%) | 94.0%/60.9% (+0.1%/+0.1%) | 44.0%/0.0% (+0.2%/+0.0%) | 100.0%/20.7% (+0.0%/+0.2%) | 84.5%/44.8% (+0.0%/+0.2%) | 93.4%/53.0% (+0.1%/+0.1%) | 91.9%/59.0% (+0.0%/+0.1%) | 93.5%/70.0% (+0.0%/+0.1%) | 96.7%/81.8% (+0.0%/+0.1%) | 100.0%/90.5% (+0.1%/+0.1%) | 100.0%/97.7% (+0.0%/+0.2%) | |
| London | 89.3%/53.0% (+0.1%/+0.1%) | 93.7%/57.6% (+0.0%/+0.1%) | 39.2%/0.0% (+0.3%/+0.0%) | 100.0%/14.4% (+0.0%/+0.2%) | 91.6%/39.7% (+0.1%/+0.2%) | 90.4%/47.6% (+0.0%/+0.2%) | 92.2%/55.7% (+0.0%/+0.1%) | 88.2%/63.3% (+0.0%/+0.1%) | 96.1%/80.3% (+0.0%/+0.2%) | 100.0%/92.5% (+0.0%/+0.2%) | 100.0%/95.3% (+0.0%/+0.2%) | |
| Durham | 88.3%/51.5% (+0.1%/+0.1%) | 93.0%/56.5% (+0.0%/+0.1%) | 40.2%/0.0% (+0.2%/+0.0%) | 96.9%/15.8% (+0.1%/+0.2%) | 84.2%/38.1% (+0.0%/+0.1%) | 93.9%/47.2% (+0.1%/+0.1%) | 91.7%/54.5% (+0.0%/+0.1%) | 90.2%/63.2% (+0.1%/+0.1%) | 97.1%/80.2% (+0.0%/+0.2%) | 100.0%/91.1% (+0.0%/+0.2%) | 100.0%/96.1% (+0.0%/+0.3%) | |
| Toronto PHU | 87.7%/53.6% (+0.1%/+0.2%) | 91.1%/57.4% (+0.1%/+0.2%) | 38.6%/0.0% (+0.3%/+0.0%) | 94.4%/20.6% (+0.1%/+0.2%) | 87.5%/40.9% (+0.1%/+0.2%) | 86.2%/50.9% (+0.0%/+0.2%) | 89.1%/57.2% (+0.1%/+0.1%) | 93.5%/65.3% (+0.0%/+0.1%) | 98.0%/78.5% (+0.0%/+0.2%) | 98.8%/86.0% (+0.0%/+0.2%) | 93.2%/81.2% (+0.0%/+0.2%) | |
| Waterloo Region | 87.2%/52.0% (+0.1%/+0.1%) | 91.7%/56.7% (+0.1%/+0.1%) | 36.6%/0.0% (+0.2%/+0.0%) | 93.8%/15.4% (+0.1%/+0.1%) | 89.3%/42.0% (+0.2%/+0.2%) | 90.6%/50.5% (+0.1%/+0.1%) | 89.1%/56.1% (+0.0%/+0.1%) | 88.9%/63.9% (+0.0%/+0.1%) | 94.1%/78.3% (+0.0%/+0.1%) | 98.9%/89.7% (+0.0%/+0.1%) | 100.0%/94.7% (+0.0%/+0.2%) | |
| Peel | 87.1%/44.0% (+0.1%/+0.2%) | 92.4%/47.9% (+0.1%/+0.2%) | 27.1%/0.0% (+0.3%/+0.0%) | 90.5%/12.6% (+0.1%/+0.2%) | 95.3%/33.8% (+0.1%/+0.2%) | 87.0%/38.5% (+0.1%/+0.1%) | 88.4%/46.0% (+0.1%/+0.2%) | 92.5%/58.7% (+0.0%/+0.1%) | 96.3%/72.2% (+0.0%/+0.2%) | 97.4%/79.9% (+0.0%/+0.2%) | 99.1%/82.8% (+0.0%/+0.3%) | |
| York | 86.9%/52.8% (+0.1%/+0.1%) | 91.2%/57.5% (+0.0%/+0.1%) | 37.5%/0.0% (+0.2%/+0.0%) | 97.3%/18.2% (+0.1%/+0.2%) | 84.4%/44.3% (+0.0%/+0.2%) | 89.3%/50.1% (+0.1%/+0.1%) | 91.0%/55.7% (+0.0%/+0.1%) | 90.0%/63.1% (+0.0%/+0.1%) | 93.3%/75.6% (+0.0%/+0.1%) | 97.3%/84.8% (+0.0%/+0.1%) | 100.0%/88.2% (+0.0%/+0.2%) | |
| Wellington-Guelph | 86.8%/54.0% (+0.1%/+0.1%) | 91.1%/59.0% (+0.0%/+0.1%) | 40.9%/0.0% (+0.2%/+0.0%) | 92.5%/17.3% (+0.1%/+0.1%) | 82.4%/39.9% (+0.0%/+0.1%) | 89.3%/48.6% (+0.0%/+0.1%) | 88.0%/55.8% (+0.0%/+0.1%) | 89.3%/64.9% (+0.0%/+0.1%) | 97.1%/82.6% (+0.0%/+0.1%) | 100.0%/94.5% (+0.0%/+0.2%) | 100.0%/100.0% (+0.0%/+0.0%) | |
| Thunder Bay | 86.1%/53.7% (+0.1%/+0.1%) | 90.2%/58.1% (+0.0%/+0.1%) | 35.7%/0.0% (+0.2%/+0.0%) | 90.7%/13.6% (+0.1%/+0.2%) | 81.3%/35.3% (+0.0%/+0.1%) | 90.5%/47.5% (+0.1%/+0.1%) | 88.0%/53.3% (+0.0%/+0.1%) | 87.8%/62.3% (+0.0%/+0.1%) | 93.9%/78.4% (+0.0%/+0.2%) | 100.0%/93.5% (+0.0%/+0.2%) | 100.0%/93.6% (+0.0%/+0.2%) | |
| Sudbury | 85.7%/52.2% (+0.0%/+0.1%) | 90.0%/56.4% (+0.0%/+0.1%) | 31.5%/0.0% (+0.2%/+0.0%) | 90.6%/11.2% (+0.1%/+0.1%) | 81.1%/32.9% (+0.1%/+0.1%) | 85.6%/41.1% (+0.0%/+0.1%) | 87.2%/50.2% (+0.0%/+0.1%) | 87.1%/60.1% (+0.0%/+0.1%) | 96.8%/80.7% (+0.0%/+0.1%) | 100.0%/92.5% (+0.0%/+0.2%) | 100.0%/92.4% (+0.0%/+0.1%) | |
| Peterborough | 85.4%/56.7% (+0.0%/+0.1%) | 89.2%/61.0% (+0.0%/+0.1%) | 35.8%/0.0% (+0.1%/+0.0%) | 89.5%/16.2% (+0.1%/+0.1%) | 76.8%/37.4% (+0.0%/+0.1%) | 89.1%/49.2% (+0.0%/+0.1%) | 87.4%/55.3% (+0.0%/+0.1%) | 82.1%/60.2% (+0.0%/+0.1%) | 95.1%/80.2% (-0.0%/+0.1%) | 100.0%/93.2% (+0.0%/+0.2%) | 100.0%/94.9% (+0.0%/+0.2%) | |
| Algoma | 85.4%/55.3% (+0.0%/+0.1%) | 89.0%/59.4% (+0.0%/+0.1%) | 37.0%/0.0% (+0.1%/+0.0%) | 89.2%/11.4% (+0.0%/+0.2%) | 77.9%/34.2% (+0.0%/+0.1%) | 88.4%/45.6% (+0.1%/+0.1%) | 87.0%/51.4% (+0.0%/+0.0%) | 83.7%/58.3% (+0.0%/+0.1%) | 95.3%/80.1% (+0.0%/+0.1%) | 97.7%/89.5% (+0.0%/+0.1%) | 98.4%/89.9% (+0.0%/+0.1%) | |
| Niagara | 85.2%/52.3% (+0.1%/+0.1%) | 89.3%/56.3% (+0.0%/+0.1%) | 31.4%/0.0% (+0.2%/+0.0%) | 86.5%/12.1% (+0.1%/+0.1%) | 79.8%/33.5% (+0.0%/+0.1%) | 90.1%/43.1% (+0.1%/+0.1%) | 87.2%/49.8% (+0.0%/+0.1%) | 85.7%/57.4% (+0.0%/+0.1%) | 95.0%/77.7% (+0.1%/+0.2%) | 97.7%/89.0% (+0.0%/+0.1%) | 100.0%/91.3% (+0.0%/+0.1%) | |
| City Of Hamilton | 85.2%/50.6% (+0.1%/+0.1%) | 89.5%/54.8% (+0.0%/+0.1%) | 32.7%/0.0% (+0.2%/+0.0%) | 89.7%/12.4% (+0.1%/+0.1%) | 84.9%/37.5% (+0.1%/+0.2%) | 87.4%/46.2% (+0.1%/+0.1%) | 87.6%/51.1% (+0.1%/+0.1%) | 87.7%/60.1% (+0.0%/+0.1%) | 93.7%/76.0% (+0.0%/+0.1%) | 97.6%/86.6% (+0.0%/+0.1%) | 99.1%/87.3% (+0.0%/+0.2%) | |
| Windsor | 84.9%/48.0% (+0.1%/+0.1%) | 89.7%/52.1% (+0.0%/+0.1%) | 28.0%/0.0% (+0.3%/+0.0%) | 86.7%/9.4% (+0.1%/+0.1%) | 80.2%/32.6% (+0.1%/+0.1%) | 93.0%/41.2% (+0.1%/+0.1%) | 88.9%/46.8% (+0.1%/+0.1%) | 89.2%/58.7% (+0.0%/+0.1%) | 94.4%/76.1% (+0.0%/+0.1%) | 98.5%/86.9% (+0.0%/+0.2%) | 99.2%/87.0% (+0.0%/+0.2%) | |
| Eastern Ontario | 84.8%/52.5% (+0.0%/+0.1%) | 89.6%/57.0% (+0.0%/+0.1%) | 29.9%/0.0% (+0.1%/+0.0%) | 88.1%/10.6% (+0.1%/+0.1%) | 78.7%/31.4% (+0.0%/+0.1%) | 87.9%/42.0% (+0.0%/+0.1%) | 86.5%/49.1% (+0.0%/+0.1%) | 85.3%/58.8% (+0.0%/+0.1%) | 96.7%/81.2% (+0.0%/+0.2%) | 100.0%/91.0% (+0.0%/+0.1%) | 100.0%/93.8% (+0.0%/+0.3%) | |
| Haliburton, Kawartha | 84.4%/55.5% (+0.1%/+0.1%) | 88.1%/59.1% (+0.0%/+0.1%) | 28.6%/0.0% (+0.4%/+0.0%) | 82.1%/8.7% (+0.2%/+0.2%) | 78.3%/32.4% (+0.0%/+0.1%) | 88.4%/41.0% (+0.0%/+0.0%) | 84.2%/47.6% (+0.0%/+0.1%) | 81.5%/55.5% (+0.0%/+0.1%) | 93.6%/78.1% (+0.0%/+0.1%) | 96.0%/88.2% (+0.0%/+0.2%) | 100.0%/91.6% (+0.0%/+0.2%) | |
| Brant County | 84.3%/48.6% (+0.1%/+0.1%) | 89.6%/53.3% (+0.0%/+0.1%) | 29.4%/0.0% (+0.1%/+0.0%) | 84.0%/11.2% (+0.1%/+0.3%) | 81.4%/31.5% (+0.1%/+0.1%) | 85.5%/39.5% (+0.0%/+0.1%) | 88.2%/48.0% (+0.0%/+0.1%) | 87.5%/58.9% (+0.0%/+0.1%) | 95.3%/77.5% (+0.0%/+0.1%) | 100.0%/93.5% (+0.0%/+0.2%) | 100.0%/96.3% (+0.0%/+0.2%) | |
| Simcoe-Muskoka | 84.2%/50.8% (+0.1%/+0.1%) | 88.6%/55.0% (+0.0%/+0.2%) | 31.0%/0.0% (+0.4%/+0.0%) | 88.2%/12.2% (+0.1%/+0.1%) | 79.3%/32.3% (+0.1%/+0.1%) | 86.5%/40.1% (+0.1%/+0.1%) | 85.1%/48.3% (+0.0%/+0.1%) | 84.5%/58.9% (+0.0%/+0.1%) | 96.6%/79.7% (+0.0%/+0.2%) | 97.9%/88.8% (+0.0%/+0.3%) | 100.0%/95.8% (+0.0%/+0.3%) | |
| North Bay | 83.6%/53.6% (+0.1%/+0.1%) | 87.7%/57.5% (+0.0%/+0.1%) | 28.6%/0.0% (+0.4%/+0.0%) | 85.0%/12.0% (+0.1%/+0.1%) | 75.2%/32.0% (+0.0%/+0.1%) | 84.6%/41.2% (+0.1%/+0.1%) | 83.9%/49.0% (+0.0%/+0.1%) | 82.8%/57.0% (+0.0%/+0.1%) | 96.1%/79.4% (+0.0%/+0.1%) | 97.5%/88.1% (-0.0%/+0.1%) | 100.0%/93.5% (+0.0%/+0.2%) | |
| Porcupine | 83.4%/46.3% (+0.0%/+0.1%) | 88.9%/50.7% (+0.0%/+0.1%) | 26.1%/0.0% (+0.2%/+0.0%) | 88.1%/8.0% (+0.1%/+0.1%) | 79.5%/27.3% (+0.0%/+0.1%) | 85.2%/35.2% (+0.0%/+0.1%) | 86.6%/44.2% (+0.0%/+0.1%) | 88.0%/57.5% (+0.0%/+0.1%) | 95.8%/76.9% (-0.0%/+0.1%) | 99.8%/88.1% (+0.0%/+0.1%) | 100.0%/89.8% (+0.0%/+0.1%) | |
| Huron Perth | 83.1%/54.4% (+0.0%/+0.1%) | 88.2%/59.6% (+0.0%/+0.1%) | 28.2%/0.0% (+0.3%/+0.0%) | 80.0%/9.4% (+0.1%/+0.1%) | 75.3%/33.5% (+0.0%/+0.1%) | 82.8%/43.5% (+0.0%/+0.1%) | 82.1%/50.3% (+0.0%/+0.1%) | 83.1%/60.5% (+0.0%/+0.1%) | 98.8%/85.6% (+0.0%/+0.2%) | 100.0%/100.0% (+0.0%/+0.0%) | 100.0%/99.7% (+0.0%/+0.1%) | |
| Hastings | 82.8%/54.7% (+0.0%/+0.1%) | 86.8%/58.9% (+0.0%/+0.1%) | 30.6%/0.0% (+0.2%/+0.0%) | 86.4%/12.7% (+0.0%/+0.0%) | 74.5%/32.6% (+0.0%/+0.1%) | 78.6%/41.6% (+0.0%/+0.0%) | 82.0%/50.0% (+0.0%/+0.0%) | 82.1%/58.7% (+0.0%/+0.1%) | 97.1%/82.3% (+0.0%/+0.1%) | 98.9%/90.7% (+0.0%/+0.1%) | 100.0%/94.4% (+0.0%/+0.2%) | |
| Timiskaming | 82.4%/51.5% (+0.1%/+0.1%) | 86.9%/55.8% (+0.0%/+0.1%) | 29.1%/0.0% (+0.3%/+0.0%) | 86.3%/12.0% (+0.1%/+0.1%) | 77.6%/31.8% (+0.1%/+0.1%) | 81.1%/38.4% (+0.1%/+0.0%) | 84.5%/47.9% (+0.1%/+0.0%) | 81.7%/57.2% (+0.0%/+0.1%) | 92.4%/74.9% (+0.0%/+0.0%) | 99.2%/89.7% (+0.0%/+0.3%) | 100.0%/87.2% (+0.0%/+0.2%) | |
| Southwestern | 82.2%/49.1% (+0.0%/+0.1%) | 87.3%/54.0% (+0.0%/+0.1%) | 30.5%/0.0% (+0.1%/+0.0%) | 80.8%/8.9% (+0.1%/+0.1%) | 75.4%/29.7% (+0.0%/+0.1%) | 85.1%/39.3% (+0.0%/+0.1%) | 84.4%/46.2% (+0.0%/+0.1%) | 85.3%/58.6% (+0.0%/+0.1%) | 96.2%/80.7% (+0.0%/+0.1%) | 100.0%/92.8% (+0.0%/+0.2%) | 100.0%/95.3% (+0.0%/+0.1%) | |
| Chatham-Kent | 82.1%/50.3% (+0.0%/+0.1%) | 87.1%/54.6% (+0.0%/+0.1%) | 24.4%/0.0% (+0.2%/+0.0%) | 77.6%/9.0% (+0.1%/+0.1%) | 75.7%/31.0% (+0.0%/+0.1%) | 81.2%/36.2% (+0.0%/+0.1%) | 84.9%/44.5% (+0.0%/+0.2%) | 83.9%/54.9% (+0.0%/+0.1%) | 96.3%/79.2% (-0.0%/-0.0%) | 100.0%/90.8% (+0.0%/+0.0%) | 100.0%/91.1% (+0.0%/+0.1%) | |
| Lambton | 80.8%/50.5% (+0.0%/+0.1%) | 85.0%/54.6% (+0.0%/+0.1%) | 29.1%/0.0% (+0.1%/+0.0%) | 82.8%/7.9% (+0.1%/+0.1%) | 75.0%/31.1% (+0.0%/+0.1%) | 84.3%/40.8% (+0.0%/+0.1%) | 83.5%/47.6% (+0.0%/+0.1%) | 80.7%/54.5% (+0.0%/+0.1%) | 88.9%/74.2% (+0.0%/+0.1%) | 96.2%/90.6% (+0.0%/+0.2%) | 96.3%/89.3% (+0.0%/+0.1%) | |
| Renfrew | 80.6%/51.3% (+0.0%/+0.1%) | 85.3%/55.7% (+0.0%/+0.1%) | 26.4%/0.0% (+0.2%/+0.0%) | 84.9%/12.4% (+0.1%/+0.1%) | 74.5%/31.2% (+0.0%/+0.1%) | 70.8%/35.6% (+0.0%/+0.0%) | 78.6%/45.6% (+0.0%/+0.0%) | 84.0%/57.2% (+0.0%/+0.0%) | 98.4%/81.0% (+0.0%/+0.1%) | 99.7%/90.4% (-0.0%/+0.3%) | 100.0%/92.2% (+0.0%/+0.2%) | |
| Grey Bruce | 79.8%/53.3% (+0.0%/+0.1%) | 84.5%/57.8% (+0.0%/+0.1%) | 24.8%/0.0% (+0.1%/+0.0%) | 78.6%/8.7% (+0.1%/+0.2%) | 71.7%/32.4% (+0.0%/+0.1%) | 81.1%/43.6% (+0.0%/+0.1%) | 84.2%/51.1% (+0.0%/+0.0%) | 79.2%/56.6% (+0.0%/+0.0%) | 91.7%/77.6% (-0.0%/+0.1%) | 96.1%/89.1% (-0.0%/+0.2%) | 93.9%/85.6% (-0.0%/+0.1%) | |
| Haldimand-Norfolk | 79.3%/47.4% (+0.0%/+0.1%) | 84.1%/51.5% (+0.0%/+0.2%) | 23.8%/0.0% (+0.1%/+0.0%) | 71.0%/7.1% (+0.0%/+0.1%) | 68.3%/24.9% (+0.1%/+0.2%) | 82.3%/32.5% (+0.1%/+0.2%) | 82.9%/40.3% (+0.1%/+0.2%) | 81.4%/51.0% (+0.0%/+0.1%) | 92.2%/75.1% (+0.0%/+0.2%) | 98.9%/92.2% (+0.0%/+0.2%) | 100.0%/95.1% (+0.0%/+0.1%) |
| Province | Yesterday | Averages->> | Last 7 | Prev 7 | Per 100k->> | Last 7/100k | Prev 7/100k | Positive % - last 7 | Vaccines->> | Vax(day) | To date (per 100) | Weekly vax update->> | % with 1+ | % with both |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Canada | 7,608 | 9996.1 | 9535.0 | 183.0 | 174.5 | 19.4 | 126,458 | 216.0 | 84.76 | 81.4 | ||||
| Ontario | 3,833 | 3475.9 | 2950.1 | 164.1 | 139.3 | 19.9 | 38,456 | 218.0 | 84.47 | 81.3 | ||||
| Quebec | 3,515 | 3100.9 | 2978.6 | 252.3 | 242.3 | 16.7 | 47,521 | 220.9 | 85.73 | 83.0 | ||||
| Nova Scotia | N/R | 987.4 | 998.7 | 696.7 | 704.7 | 29.8 | 0 | 223.5 | 90.62 | 85.8 | ||||
| Alberta | N/R | 879.4 | 787.7 | 138.6 | 124.1 | 26.1 | 0 | 194.1 | 79.93 | 75.9 | ||||
| New Brunswick | N/R | 565.4 | 522.4 | 501.5 | 463.4 | 40.1 | 0 | 220.5 | 88.4 | 83.3 | ||||
| Prince Edward Island | N/R | 318.4 | 368.0 | 1356.5 | 1567.7 | 567.2 | 0 | 227.9 | 91.03 | 87.1 | ||||
| Newfoundland | 246 | 243.1 | 286.4 | 327.0 | 385.2 | 28.1 | 0 | 241.4 | 95.8 | 91.8 | ||||
| Manitoba | N/R | 242.6 | 194.1 | 122.7 | 98.2 | 21.3 | 0 | 206.9 | 83.37 | 80.0 | ||||
| Saskatchewan | N/R | 150.1 | 147.4 | 89.1 | 87.5 | 13.0 | 2,886 | 203.0 | 80.81 | 76.5 | ||||
| Northwest Territories | N/R | 18.9 | 32.1 | 290.1 | 494.5 | 93.0 | 0 | 220.1 | 80.17 | 76.7 | ||||
| Yukon | 14 | 14.0 | 14.9 | 228.0 | 241.9 | inf | 0 | 213.2 | 83.91 | 80.6 | ||||
| British Columbia | N/R | 0.0 | 246.0 | 0.0 | 33.0 | 0.0 | 37,595 | 221.3 | 86.43 | 82.9 | ||||
| Nunavut | N/R | 0.0 | 8.4 | 0.0 | 149.7 | nan | 0 | 195.6 | 83.27 | 72.1 |
| LTC_Home | City | Beds | New LTC cases | Current Active Cases |
|---|---|---|---|---|
| Villa Forum | Mississauga | 160 | 14.0 | 22.0 |
| Villa Colombo Seniors Centre (Vaughan) | Vaughan | 160 | 12.5 | 15.0 |
| St. Joseph's Villa, Dundas | Dundas | 425 | 11.5 | 14.0 |
| Algonquin Nursing Home | Mattawa | 73 | 8.0 | 13.0 |
| The Villa Care Centre | Midland | 114 | 7.5 | 10.0 |
| Northview Nursing Home | Englehart | 48 | 6.5 | 15.0 |
| Arbour Heights | Kingston | 174 | 5.0 | 5.0 |
| LTC_Home | City | Beds | Today's Deaths | All-time Deaths |
|---|---|---|---|---|
| Northview Nursing Home | Englehart | 48 | 2.5 | 2.5 |
| Reporting_PHU | Age_Group | Client_Gender | Case_AcquisitionInfo | Case_Reported_Date | Episode_Date | Count |
|---|---|---|---|---|---|---|
| Windsor | 30s | MALE | Community | 2022-05-09 | 2022-05-08 | -1 |
| London | 60s | MALE | Community | 2022-04-23 | 2022-04-22 | 1 |
| Durham | 70s | FEMALE | Close contact | 2022-04-10 | 2022-04-06 | 1 |
| Grey Bruce | 70s | MALE | Community | 2022-04-28 | 2022-04-28 | 1 |
| Peel | 70s | MALE | Community | 2022-04-09 | 2022-04-09 | 1 |
| Peel | 70s | FEMALE | Outbreak | 2022-04-21 | 2022-04-20 | 1 |
| Simcoe-Muskoka | 70s | MALE | Community | 2022-04-06 | 2022-04-06 | 1 |
| Timiskaming | 70s | MALE | Outbreak | 2022-05-03 | 2022-05-02 | 1 |
| Brant | 80s | MALE | Outbreak | 2022-04-22 | 2022-04-22 | 1 |
| Chatham-Kent | 80s | MALE | Close contact | 2022-05-07 | 2022-05-06 | -1 |
| Niagara | 80s | MALE | Community | 2022-05-07 | 2022-04-28 | 1 |
| Niagara | 80s | MALE | Community | 2022-05-07 | 2022-05-06 | -1 |
| Ottawa | 80s | MALE | Community | 2022-04-02 | 2022-03-28 | 1 |
| Ottawa | 80s | FEMALE | Community | 2022-05-04 | 2022-04-28 | 1 |
| Algoma | 90+ | FEMALE | Outbreak | 2022-04-13 | 2022-04-13 | 1 |
| Brant | 90+ | FEMALE | Close contact | 2022-04-21 | 2022-04-08 | 1 |
| Chatham-Kent | 90+ | MALE | Close contact | 2022-04-28 | 2022-04-26 | -1 |
| Haldimand-Norfolk | 90+ | FEMALE | Close contact | 2022-05-09 | 2022-05-09 | 1 |
| Peel | 90+ | MALE | Outbreak | 2022-04-29 | 2022-04-29 | 1 |
| Simcoe-Muskoka | 90+ | MALE | Outbreak | 2022-05-08 | 2022-05-08 | 1 |
| Thunder Bay | 90+ | MALE | Outbreak | 2022-04-26 | 2022-04-25 | 1 |
| Toronto PHU | 90+ | MALE | Outbreak | 2022-04-29 | 2022-04-29 | -1 |
| Toronto PHU | 90+ | FEMALE | Outbreak | 2022-05-06 | 2022-05-04 | 1 |
| Windsor | 90+ | MALE | Community | 2022-05-04 | 2022-05-02 | 1 |
2022.05.12 16:47 enterprisevalue Ontario May 12: 2,160 Cases, 14 Deaths, 16,360 tests (13.2% to 10.7% pos.) 🏥 ICUs: 175 (-1 vs. yest.) (-30 vs. last wk) 💉 29,173 admin, 90.25% / 86.94% / 52.37% (+0.01%, / +0.01% / 0.02%) of 5+ at least 1/2/3 dosed,
Link to report: https://files.ontario.ca/moh-covid-19-report-en-2022-05-12.pdf
Detailed tables: Google Sheets mode and some TLDR charts
Testing data: - Source
Vaccines - detailed data: Source
Schools Data:
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
Jail Data - (latest data as of May 10) Source
Main data table:
Vaccine coverage by PHU/age group - as of May 12 (% at least two/three dosed, chg. week) -
Canada comparison - Source - data as of April 13
LTCs with 5+ new cases today: Why are there 0.5 cases/deaths?
LTC Deaths today: - this section is reported by the Ministry of LTC and the data may not reconcile with the LTC data above because that is published by the MoH.
Today's deaths:
submitted by enterprisevalue to ontario [link] [comments]
Detailed tables: Google Sheets mode and some TLDR charts
- Throwback Ontario May 12, 2020 update: 361 New Cases, 260 Recoveries, 56 Deaths, 11,957 tests (3.02% positive), Current ICUs: 211 (-4 vs. yesterday) (-32 vs. last week)
- Throwback Ontario May 12, 2021 update: 2320 New Cases, 3477 Recoveries, 32 Deaths, 45,681 tests (5.08% positive), Current ICUs: 776 (-26 vs. yesterday) (-106 vs. last week)
- Backlog: 6,410 (+826), 16,360 tests completed (1,361.5 per 100k in week) 17,186 swabbed
- MoH positive rate: 10.7% - differs from the cases/tests calc.
- Positive rate (Day/Week/Prev Week): 13.20% / 12.82% / 14.45% - Chart
- New cases with episode dates in last 3 days: 1,174 / 1,005 / 1,265 (+145 vs. yesterday week avg)
- New cases - episode dates in last 7 days: 1,797 / 1,521 / 1,808 (+217 vs. yesterday week avg)
- New cases - episode dates in last 30 days: 2,076 / 1,784 / 2,186 (+223 vs. yesterday week avg)
- New cases - ALL episode dates: 2,160 / 1,852 / 2,258 (+230 vs. yesterday week avg)
- 7 day average: 1,852 (-77.1 vs. yesterday) (-406 or -18.0% vs. last week), (-1,567 or -45.8% vs. 30 days ago)
- Today's Rt estimate: 0.89 - Historical
- Active cases: 20,755 (-456 vs. yesterday) (-5,318 vs. last week) - Chart
- Current hospitalizations: 1,451(-77), ICUs: 175(-1), Ventilated: 75(-6), [vs. last week: -225 / -30 / -25] - Chart
- New hospitalizations (Week/prev week avgs.): 26 (81.0 / 108.7), ICUs: 3 (7.1 / 11.9),
- Total reported cases to date: 1,281,360
- Hospitalizations / ICUs/ +veICU count by Ontario Health Region (ICUs vs. last week): East: 330/49/35(-14), West: 466/49/33(-10), Toronto: 161/18/14(-1), Central: 301/46/42(+0), North: 193/13/12(-5), Total: 1451 / 175 / 136
- Rolling case fatality rates for outbreak and non-outbreak cases
- Chart showing the 7 day average of cases per 100k by age group
- Cases and vaccinations by postal codes (first 3 letters)
- Details on post-vaccination cases
- 40.3% / 61.2% of the hospitalizations/ICU numbers are people there FOR COVID.
- Of the 14 deaths with details today, 10 were caused by COVID, 8 were contributed to by COVID and -4 were unknown
- 106 / 35 new LTC resident/HCW cases - Chart of active 70+ cases split by outbreak and non-outbreak cases
- 5 / 21 / 81 / 224 / 4521 LTC deaths in last day / week / 30 / 100 days / all-time
- Total COVID/non-COVID ICU patients: 173 / 1,540 (-29/ +28)
- Total avail ICU capacity for ALL: 630 (+1)
- Total ICU capacity: 2,343
| Metric | Not_FullVax | Not_FullVax_5+ | Full | Boosted | Unknown |
|---|---|---|---|---|---|
| Cases - today | 228 | -54 | 403 | 1,396 | 133 |
| Cases Per 100k - today | 8.58 | 9.01 | 8.28 | 19.13 | - |
| Risk vs. boosted - today | 0.45x | 0.47x | 0.45x | 1.00x | - |
| Case % less (more) risk vs. not full vax - today | - | - | 8.1% | -112.4% | - |
| Avg daily Per 100k - week | 7.92 | 7.39 | 6.92 | 16.29 | - |
| Risk vs. boosted - week | 0.45x | 0.45x | 0.45x | 1.00x | - |
| Case % less risk vs. unvax - week | - | - | 6.4% | -120.4% | - |
| Metric | Unvax_All | Unvax_5+ | Partial | Full | Unknown |
|---|---|---|---|---|---|
| ICU - count | 23 | n/a | 8 | 68 | 76 |
| ICU per mill | 10.51 | - | 17.04 | 5.59 | - |
| ICU % less risk vs. unvax | - | - | -62.2% | 46.8% | - |
| ICU risk vs. full | 1.88x | - | 3.05x | 1.00x | - |
| Non_ICU Hosp - count | 218 | n/a | 53 | 902 | - |
| Non_ICU Hosp per mill | 99.59 | - | 112.91 | 74.15 | - |
| Non_ICU Hosp % less risk vs. unvax | - | - | -13.4% | 25.5% | - |
| Non_ICU Hosp risk vs. full | 1.34x | - | 1.52x | 1.00x | - |
| Age group per 100k - day - May 12: | |||||
| 0-4yrs | 8.30 | - | 0.00 | 0.00 | - |
| 5-11yrs | 4.45 | - | 8.21 | 0.00 | - |
| 12-17yrs | 5.67 | - | 4.92 | 6.39 | - |
| 18-39yrs | 7.48 | - | 7.08 | 19.75 | - |
| 40-59yrs | 10.06 | - | 9.88 | 20.63 | - |
| 60+ | 46.19 | - | 14.77 | 18.39 | - |
- Total admin: 33,027,991 (+29,173 / +163,194 in last day/week)
- First doses admin: 12,647,204 / (+1,120 / +7,139 in last day/week)
- Second doses admin: 12,182,139 (+1,380 / +8,721 in last day/week)
- Third doses admin: 7,337,274 (+2,771 / +17,917 in last day/week)
- 85.33% / 82.19% / 49.50% of all Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.02% today) (0.05% / 0.06% / 0.12% in last week)
- 90.25% / 86.94% / 52.37% of 5+ Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.02% today) (0.05% / 0.06% / 0.13% in last week)
- 0.144% / 0.717% of the remaining 12+ unvaccinated population got vaccinated today/this week
- To date, 35,805,101 vaccines have been delivered to Ontario (last updated February 3) - Source
- There are 2,777,110 unused vaccines which will take 119.1 days to administer based on the current 7 day average of 23,313 /day
- Ontario's population is 14,822,201 as published here. Age group populations as provided by the MOH here
- Vaccine uptake report (updated weekly) incl. vaccination coverage by PHUs - link
- Based on this week's vaccination rates, 60% of 5+ Ontarians will have received boosters by June 27, 2023 at 12:09 - 411 days to go
| Age | Cases/100k | First doses | Second doses | Third doses | First Dose % (day/week) | Second Dose % (day/week) | Third Dose % (day/week) |
|---|---|---|---|---|---|---|---|
| 05-11yrs | 3.4 | 169 | 368 | 2 | 56.42% (+0.02% / +0.10%) | 35.68% (+0.03% / +0.25%) | 0.01% (+0.00% / +0.00%) |
| 12-17yrs | 3.9 | 95 | 137 | 203 | 90.23% (+0.01% / +0.06%) | 93.00% (+0.01% / +0.10%) | 15.97% (+0.02% / +0.16%) |
| 18-29yrs | 10.8 | 226 | 259 | 509 | 89.40% (+0.01% / +0.06%) | 85.95% (+0.01% / +0.06%) | 38.45% (+0.02% / +0.14%) |
| 30-39yrs | 16.8 | 191 | 222 | 435 | 91.06% (+0.01% / +0.06%) | 88.34% (+0.01% / +0.06%) | 47.14% (+0.02% / +0.13%) |
| 40-49yrs | 18.9 | 123 | 104 | 320 | 91.10% (+0.01% / +0.04%) | 89.14% (+0.01% / +0.04%) | 53.89% (+0.02% / +0.11%) |
| 50-59yrs | 15.2 | 106 | 100 | 314 | 91.22% (+0.01% / +0.03%) | 89.62% (+0.00% / +0.03%) | 62.74% (+0.02% / +0.10%) |
| 60-69yrs | 12.7 | 115 | 114 | 438 | 97.72% (+0.01% / +0.04%) | 96.25% (+0.01% / +0.03%) | 78.87% (+0.02% / +0.15%) |
| 70-79yrs | 13.7 | 58 | 49 | 352 | 100.70% (+0.01% / +0.03%) | 99.32% (+0.00% / +0.03%) | 88.75% (+0.03% / +0.18%) |
| 80+ yrs | 43.0 | 36 | 25 | 198 | 103.06% (+0.01% / +0.02%) | 100.75% (+0.00% / +0.02%) | 89.90% (+0.03% / +0.19%) |
| Unknown | 1 | 2 | 0 | 0.01% (+0.00% / +0.00%) | 0.01% (+0.00% / +0.00%) | 0.00% (+0.00% / +0.00%) | |
| Total - 18+ | 855 | 873 | 2,566 | 93.30% (+0.01% / +0.05%) | 91.07% (+0.01% / +0.04%) | 60.01% (+0.02% / +0.14%) | |
| Total - 12+ | 950 | 1,010 | 2,769 | 93.07% (+0.01% / +0.05%) | 91.21% (+0.01% / +0.05%) | 56.73% (+0.02% / +0.14%) | |
| Total - 5+ | 1,119 | 1,378 | 2,771 | 90.25% (+0.01% / +0.05%) | 86.94% (+0.01% / +0.06%) | 52.37% (+0.02% / +0.13%) |
- The median school has 10% of students/staff absent. The interquartile range is 8% to 13%
- New outbreak cases: 81
- New outbreak cases (groups with 2+): Hospital (8), Long-term care home (32), Retirement home (32), Congregate other (6), Group home/supportive housing (2),
- 531 active cases in outbreaks (-113 vs. last week)
- Major categories with active cases (vs. last week): Long-Term Care Homes: 195(-25), Retirement Homes: 136(-32), Hospitals: 91(-14), Group Home/Supportive Housing: 63(-35), Shelter: 20(-2), Congregate other: 19(-5), Correctional Facility: 7(+0),
- Chile: 90.9, South Korea: 86.8, China: 86.6, Australia: 83.6,
- Canada: 82.3, Argentina: 81.8, Japan: 80.7, Italy: 79.4,
- France: 78.3, Brazil: 77.1, Germany: 76.8, European Union: 73.6,
- Saudi Arabia: 70.2, Bangladesh: 70.2, Iran: 67.8, United States: 66.4,
- Israel: 66.1, India: 62.5, Turkey: 62.4, Indonesia: 60.0,
- Pakistan: 54.3, Russia: 50.5, Egypt: 33.2, South Africa: 30.8,
- Nigeria: 7.5,
- Map charts showing rates of at least one dose and total doses per 100 people
- Chile: 95.9 (90.9) South Korea: 70.9 (86.8) Italy: 66.3 (79.4) Germany: 64.2 (76.8) Israel: 57.0 (66.1)
- France: 56.0 (78.3) Japan: 55.4 (80.7) Canada: 53.8 (82.3) Australia: 52.5 (83.6) China: 52.4 (86.6)
- European Union: 52.0 (73.6) Argentina: 48.0 (81.8) Turkey: 43.2 (62.4) Brazil: 42.6 (77.1) Iran: 32.0 (67.8)
- United States: 30.6 (66.3) Indonesia: 13.6 (60.0) Russia: 9.7 (50.5) Bangladesh: 7.9 (70.2) South Africa: 4.8 (30.8)
- Pakistan: 3.2 (54.3) Egypt: 2.6 (33.2) India: 2.1 (62.5) Nigeria: 0.5 (7.5)
- Australia: 1235.2 (86.45) Germany: 551.5 (76.9) South Korea: 500.2 (87.79) Italy: 466.1 (84.1)
- France: 379.6 (80.63) European Union: 314.4 (75.52) Spain: 225.5 (n/a) Japan: 190.5 (81.98)
- United States: 181.0 (77.79) Israel: 158.0 (72.2) Chile: 105.9 (93.28) United Kingdom: 100.8 (n/a)
- Canada: 93.2 (85.89) South Africa: 89.6 (35.69) Brazil: 53.9 (85.54) Argentina: 38.7 (90.02)
- Russia: 23.7 (55.46) Vietnam: 21.9 (n/a) Sweden: 21.4 (n/a) Turkey: 13.2 (68.0)
- Saudi Arabia: 7.7 (74.9) China: 4.8 (89.05) Mexico: 4.6 (n/a) Iran: 3.3 (75.75)
- India: 1.6 (72.24) Indonesia: 0.5 (72.13) Pakistan: 0.4 (59.74) Ethiopia: 0.2 (n/a)
- Bangladesh: 0.1 (77.47) Nigeria: 0.0 (12.96) Egypt: 0.0 (44.59)
- France: 294, Germany: 184, Canada: 163, Chile: 135, South Korea: 116,
- Israel: 92, Italy: 84, United States: 80, Australia: 68, South Africa: 63,
- United Kingdom: 47,
- NY: 9,688 (348.6), CA: 8,618 (152.7), FL: 5,765 (187.9), IL: 5,401 (298.3), PR: 4,507 (987.9),
- MI: 3,945 (276.5), NJ: 3,908 (308.0), MA: 3,858 (391.8), PA: 3,140 (171.7), TX: 2,939 (71.0),
- NC: 2,609 (174.1), VA: 2,354 (193.0), WA: 2,281 (209.6), WI: 2,188 (263.1), MN: 2,027 (251.5),
- MO: 1,950 (222.4), CT: 1,707 (335.2), OH: 1,573 (94.2), MD: 1,560 (180.7), OR: 1,265 (209.9),
- GA: 1,262 (83.2), CO: 1,186 (144.1), IN: 839 (87.3), HI: 807 (399.0), AZ: 784 (75.4),
- PR: 83.1% (0.1%), RI: 82.7% (0.2%), VT: 81.3% (0.1%), ME: 79.7% (0.1%), CT: 79.4% (0.1%),
- MA: 79.2% (0.2%), HI: 78.3% (0.1%), DC: 77.8% (0.2%), NY: 77.1% (0.1%), MD: 75.8% (0.1%),
- NJ: 75.8% (0.1%), VA: 73.3% (0.1%), WA: 72.7% (0.1%), CA: 72.2% (0.1%), NM: 71.2% (0.1%),
- NH: 70.6% (0.3%), CO: 70.3% (0.1%), OR: 69.7% (0.1%), MN: 69.3% (0.1%), DE: 69.2% (0.1%),
- IL: 69.0% (0.5%), PA: 68.6% (0.2%), FL: 67.1% (0.1%), WI: 65.7% (0.1%), UT: 64.4% (0.1%),
- NE: 63.7% (0.1%), AK: 62.4% (0.1%), IA: 62.0% (0.1%), AZ: 61.7% (0.1%), SD: 61.6% (0.2%),
- TX: 61.6% (0.1%), KS: 61.6% (0.1%), NC: 61.4% (0.2%), NV: 60.9% (0.1%), MI: 60.2% (0.1%),
- OH: 58.5% (0.1%), WV: 57.6% (0.1%), KY: 57.5% (0.1%), OK: 57.4% (0.1%), SC: 57.1% (0.1%),
- MT: 56.9% (0.1%), MO: 56.2% (0.1%), ND: 55.6% (0.7%), IN: 54.9% (0.1%), GA: 54.9% (0.1%),
- TN: 54.6% (0.1%), ID: 54.6% (0.5%), AR: 54.5% (0.1%), LA: 53.5% (0.0%), MS: 51.9% (0.1%),
- AL: 51.2% (0.1%), WY: 51.0% (0.2%),
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
| Metric | Today | 7d ago | 14d ago | 21d ago | 30d ago | Peak |
|---|---|---|---|---|---|---|
| Cases - 7-day avg | 0 | 11,242 | 17,447 | 24,997 | 40,167 | 183,084 |
| Hosp. - current | 9,619 | 11,752 | 14,967 | 17,524 | 19,587 | 39,256 |
| Vent. - current | 214 | 286 | 320 | 326 | 367 | 4,077 |
| England weekly cases/100k by age: | ||||||
| <60 | 103.7 | 120.9 | 188.6 | 269.0 | 460.8 | 2520.8 |
| 60+ | 125.6 | 163.2 | 266.7 | 403.3 | 570.5 | 1192.5 |
- Total inmate cases in last day/week: 6/86
- Total inmate tests completed in last day/week (refused test in last day/week): 255/1435 (99/300)
- Jails with 2+ cases yesterday: Toronto South Detention Centre: 2, Maplehurst Correctional Complex: 2,
| Age Group | Outbreak | CFR % | Deaths | Non-outbreak | CFR% | Deaths |
|---|---|---|---|---|---|---|
| 19 & under | 0.00% | 0 | 0.00% | 0 | ||
| 20s | 0.00% | 0 | 0.02% | 2 | ||
| 30s | 0.00% | 0 | 0.03% | 4 | ||
| 40s | 0.00% | 0 | 0.07% | 9 | ||
| 50s | 0.25% | 3 | 0.15% | 18 | ||
| 60s | 1.12% | 12 | 0.42% | 32 | ||
| 70s | 2.04% | 27 | 1.34% | 74 | ||
| 80s | 2.87% | 76 | 2.76% | 89 | ||
| 90+ | 2.93% | 61 | 6.17% | 57 |
| PHU | Today | Averages | Last 7 | Prev 7 | Totals per 100k | Last 7/100k | Prev 7/100k | Active/100k | Ages (day %)->> | <20 | 20-29 | 30-49 | 50-69 | 70+ | Source (day %)->> | Close contact | Community | Outbreak | Travel |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2160 | 1852.9 | 2258.9 | 87.3 | 106.4 | 139.6 | 9.8 | 12.3 | 32.3 | 24.8 | 20.8 | 24.0 | 59.1 | 14.8 | 2.1 | ||||
| Toronto PHU | 417 | 423.1 | 444.4 | 94.9 | 99.7 | 135.7 | 11.0 | 12.0 | 38.6 | 22.1 | 16.3 | 24.0 | 60.2 | 13.4 | 2.4 | ||||
| York | 204 | 149.3 | 163.9 | 85.3 | 93.6 | 131.0 | 11.8 | 11.8 | 35.8 | 25.0 | 15.7 | 16.2 | 73.0 | 9.3 | 1.5 | ||||
| Peel | 151 | 140.3 | 168.6 | 61.1 | 73.5 | 94.3 | 12.6 | 15.9 | 25.8 | 32.5 | 13.2 | 31.8 | 48.3 | 19.2 | 0.7 | ||||
| Ottawa | 128 | 68.9 | 118.3 | 45.7 | 78.5 | 98.6 | 10.9 | 9.4 | 39.1 | 20.3 | 20.3 | 24.2 | 57.0 | 13.3 | 5.5 | ||||
| Simcoe-Muskoka | 123 | 89.6 | 115.7 | 104.6 | 135.1 | 156.1 | 9.8 | 10.6 | 33.3 | 22.0 | 24.4 | 25.2 | 58.5 | 15.4 | 0.8 | ||||
| Hamilton | 116 | 99.6 | 119.3 | 117.7 | 141.0 | 198.9 | 3.4 | 19.8 | 31.0 | 24.1 | 21.6 | 14.7 | 67.2 | 17.2 | 0.9 | ||||
| Durham | 89 | 90.1 | 100.0 | 88.5 | 98.2 | 127.9 | 12.4 | 7.9 | 31.5 | 27.0 | 21.3 | 33.7 | 50.6 | 11.2 | 4.5 | ||||
| Waterloo Region | 71 | 48.4 | 72.1 | 58.0 | 86.4 | 97.4 | 7.0 | 19.7 | 31.0 | 19.7 | 22.5 | 28.2 | 53.5 | 18.3 | 0.0 | ||||
| Niagara | 71 | 68.6 | 77.6 | 101.6 | 114.9 | 163.8 | 1.4 | 11.3 | 31.0 | 26.8 | 28.2 | 32.4 | 39.4 | 28.2 | 0.0 | ||||
| Halton | 68 | 63.9 | 67.0 | 72.2 | 75.8 | 107.7 | 14.7 | 11.8 | 39.7 | 27.9 | 5.9 | 30.9 | 51.5 | 8.8 | 8.8 | ||||
| London | 55 | 43.3 | 61.6 | 59.7 | 84.9 | 112.3 | 9.1 | 12.7 | 32.7 | 21.8 | 23.6 | 9.1 | 83.6 | 5.5 | 1.8 | ||||
| Kingston | 53 | 51.6 | 76.3 | 169.7 | 251.1 | 359.7 | 7.5 | 5.7 | 35.8 | 24.5 | 26.4 | 20.8 | 66.0 | 13.2 | 0.0 | ||||
| Thunder Bay | 50 | 53.7 | 59.6 | 250.7 | 278.1 | 407.4 | 14.0 | 8.0 | 28.0 | 18.0 | 32.0 | 14.0 | 68.0 | 18.0 | 0.0 | ||||
| Wellington-Guelph | 42 | 31.4 | 40.6 | 70.5 | 91.1 | 121.2 | 7.1 | 7.1 | 42.9 | 16.7 | 26.2 | 9.5 | 85.7 | 4.8 | 0.0 | ||||
| Windsor | 40 | 48.0 | 63.1 | 79.1 | 104.0 | 111.1 | 12.5 | 7.5 | 27.5 | 37.5 | 15.0 | 25.0 | 52.5 | 17.5 | 5.0 | ||||
| Peterborough | 38 | 17.7 | 30.0 | 83.8 | 141.9 | 153.4 | 10.5 | 5.3 | 21.1 | 31.6 | 31.6 | 10.5 | 63.2 | 26.3 | 0.0 | ||||
| Lambton | 37 | 17.3 | 22.7 | 92.4 | 121.4 | 120.6 | 8.1 | 16.2 | 21.6 | 29.7 | 24.3 | 16.2 | 70.3 | 8.1 | 5.4 | ||||
| Southwestern | 34 | 26.4 | 29.1 | 87.5 | 96.5 | 145.2 | 5.9 | 17.6 | 26.5 | 29.4 | 20.6 | 26.5 | 52.9 | 20.6 | 0.0 | ||||
| Chatham-Kent | 32 | 19.6 | 21.1 | 128.9 | 139.2 | 167.4 | 3.1 | 15.6 | 18.8 | 28.1 | 34.4 | 12.5 | 56.2 | 28.1 | 3.1 | ||||
| Hastings | 31 | 22.7 | 33.1 | 94.4 | 137.7 | 180.4 | 6.5 | 16.1 | 25.8 | 16.1 | 32.3 | 25.8 | 51.6 | 22.6 | 0.0 | ||||
| Northwestern | 30 | 29.7 | 40.3 | 237.3 | 321.7 | 431.2 | 40.0 | 3.3 | 30.0 | 10.0 | 16.7 | 70.0 | 10.0 | 20.0 | 0.0 | ||||
| Leeds, Grenville, Lanark | 30 | 25.4 | 38.3 | 102.8 | 154.8 | 190.0 | 10.0 | 13.3 | 43.3 | 13.3 | 20.0 | 36.7 | 56.7 | 6.7 | 0.0 | ||||
| Grey Bruce | 29 | 15.0 | 23.4 | 61.8 | 96.5 | 118.3 | 3.4 | 10.3 | 20.7 | 41.4 | 24.1 | 13.8 | 58.6 | 27.6 | 0.0 | ||||
| Sudbury | 28 | 39.4 | 46.6 | 138.6 | 163.8 | 228.6 | 3.6 | 3.6 | 35.7 | 17.9 | 39.3 | 42.9 | 67.9 | -10.7 | 0.0 | ||||
| Eastern Ontario | 26 | 21.6 | 26.1 | 72.4 | 87.7 | 99.2 | 3.8 | 3.8 | 30.8 | 46.2 | 15.4 | 34.6 | 57.7 | 7.7 | 0.0 | ||||
| Algoma | 25 | 21.4 | 32.7 | 131.1 | 200.2 | 257.9 | 8.0 | 16.0 | 24.0 | 20.0 | 32.0 | 24.0 | 68.0 | 8.0 | 0.0 | ||||
| Porcupine | 22 | 12.4 | 15.6 | 104.2 | 130.6 | 209.7 | 31.8 | 18.2 | 4.5 | 13.6 | 31.8 | 27.3 | 50.0 | 18.2 | 4.5 | ||||
| Haliburton, Kawartha | 22 | 21.9 | 28.9 | 81.0 | 106.9 | 143.9 | 0.0 | 18.2 | 31.8 | 31.8 | 18.2 | 13.6 | 59.1 | 22.7 | 4.5 | ||||
| Brant | 19 | 18.3 | 20.0 | 82.5 | 90.2 | 128.9 | 5.3 | 15.8 | 21.1 | 31.6 | 26.3 | 5.3 | 63.2 | 26.3 | 5.3 | ||||
| Renfrew | 18 | 17.0 | 18.9 | 109.6 | 121.5 | 139.9 | 0.0 | 5.6 | 22.2 | 22.2 | 50.0 | 33.3 | 38.9 | 22.2 | 5.6 | ||||
| North Bay | 18 | 17.0 | 29.0 | 91.7 | 156.4 | 151.0 | 5.6 | 16.7 | 27.8 | 33.3 | 16.7 | 27.8 | 61.1 | 11.1 | 0.0 | ||||
| Huron Perth | 17 | 17.0 | 21.0 | 85.2 | 105.2 | 147.4 | 0.0 | 23.5 | 17.6 | 41.2 | 17.6 | 47.1 | 23.5 | 17.6 | 11.8 | ||||
| Haldimand-Norfolk | 15 | 18.1 | 17.3 | 111.3 | 106.1 | 150.8 | 0.0 | 20.0 | 13.3 | 26.7 | 40.0 | 20.0 | 60.0 | 13.3 | 6.7 | ||||
| Timiskaming | 11 | 5.1 | 16.7 | 110.1 | 357.9 | 360.9 | 0.0 | 18.2 | 9.1 | 54.5 | 18.2 | 9.1 | 54.5 | 36.4 | 0.0 | ||||
| Regions of Zeroes | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| PHU name | 5+ population | 12+ | 05-11yrs | 12-17yrs | 18-29yrs | 30-39yrs | 40-49yrs | 50-59yrs | 60-69yrs | 70-79yrs | 80+ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Leeds, Grenville, Lanark | 91.9%/62.8% (+0.0%/+0.1%) | 95.7%/67.4% (+0.0%/+0.2%) | 40.2%/0.0% (+0.2%/+0.0%) | 92.1%/14.6% (+0.0%/+0.2%) | 84.1%/40.5% (+0.0%/+0.2%) | 98.1%/53.3% (+0.0%/+0.1%) | 90.7%/58.1% (+0.0%/+0.1%) | 88.1%/66.0% (+0.0%/+0.1%) | 100.0%/88.7% (+0.0%/+0.2%) | 100.0%/99.6% (+0.0%/+0.2%) | 100.0%/100.0% (+0.0%/+0.0%) | |
| Northwestern | 90.9%/53.6% (+0.1%/+0.1%) | 97.0%/59.4% (+0.0%/+0.1%) | 34.2%/0.0% (+0.3%/+0.0%) | 98.2%/18.2% (+0.2%/+0.1%) | 95.8%/41.6% (+0.0%/+0.1%) | 99.6%/52.4% (+0.1%/+0.1%) | 96.5%/59.0% (+0.0%/+0.1%) | 91.7%/64.1% (+0.0%/+0.0%) | 98.1%/79.8% (+0.0%/+0.1%) | 100.0%/89.2% (+0.0%/+0.3%) | 99.7%/87.6% (+0.0%/+0.2%) | |
| Kingston | 90.4%/62.2% (+0.0%/+0.1%) | 93.5%/66.8% (+0.0%/+0.1%) | 49.0%/0.0% (+0.3%/+0.0%) | 100.0%/21.1% (+0.0%/+0.3%) | 87.6%/47.8% (+0.0%/+0.1%) | 89.3%/56.4% (+0.1%/+0.1%) | 90.4%/63.9% (-0.0%/+0.1%) | 89.0%/70.2% (+0.0%/+0.1%) | 99.7%/88.5% (+0.0%/+0.2%) | 100.0%/93.6% (+0.0%/+0.2%) | 100.0%/94.7% (+0.0%/+0.3%) | |
| City Of Ottawa | 90.1%/58.8% (+0.1%/+0.1%) | 93.7%/63.9% (+0.0%/+0.1%) | 48.0%/0.0% (+0.2%/+0.0%) | 100.0%/25.6% (+0.0%/+0.2%) | 85.0%/44.5% (+0.0%/+0.2%) | 90.2%/55.5% (+0.0%/+0.1%) | 93.8%/64.8% (+0.0%/+0.1%) | 93.8%/73.6% (+0.0%/+0.1%) | 97.8%/85.3% (+0.0%/+0.2%) | 100.0%/93.5% (+0.0%/+0.2%) | 100.0%/96.2% (+0.0%/+0.2%) | |
| Halton | 89.4%/55.3% (+0.1%/+0.1%) | 94.0%/60.9% (+0.1%/+0.1%) | 44.0%/0.0% (+0.2%/+0.0%) | 100.0%/20.7% (+0.0%/+0.2%) | 84.5%/44.8% (+0.0%/+0.2%) | 93.4%/53.0% (+0.1%/+0.1%) | 91.9%/59.0% (+0.0%/+0.1%) | 93.5%/70.0% (+0.0%/+0.1%) | 96.7%/81.8% (+0.0%/+0.1%) | 100.0%/90.5% (+0.1%/+0.1%) | 100.0%/97.7% (+0.0%/+0.2%) | |
| London | 89.3%/53.0% (+0.1%/+0.1%) | 93.7%/57.6% (+0.0%/+0.1%) | 39.2%/0.0% (+0.3%/+0.0%) | 100.0%/14.4% (+0.0%/+0.2%) | 91.6%/39.7% (+0.1%/+0.2%) | 90.4%/47.6% (+0.0%/+0.2%) | 92.2%/55.7% (+0.0%/+0.1%) | 88.2%/63.3% (+0.0%/+0.1%) | 96.1%/80.3% (+0.0%/+0.2%) | 100.0%/92.5% (+0.0%/+0.2%) | 100.0%/95.3% (+0.0%/+0.2%) | |
| Durham | 88.3%/51.5% (+0.1%/+0.1%) | 93.0%/56.5% (+0.0%/+0.1%) | 40.2%/0.0% (+0.2%/+0.0%) | 96.9%/15.8% (+0.1%/+0.2%) | 84.2%/38.1% (+0.0%/+0.1%) | 93.9%/47.2% (+0.1%/+0.1%) | 91.7%/54.5% (+0.0%/+0.1%) | 90.2%/63.2% (+0.1%/+0.1%) | 97.1%/80.2% (+0.0%/+0.2%) | 100.0%/91.1% (+0.0%/+0.2%) | 100.0%/96.1% (+0.0%/+0.3%) | |
| Toronto PHU | 87.7%/53.6% (+0.1%/+0.2%) | 91.1%/57.4% (+0.1%/+0.2%) | 38.6%/0.0% (+0.3%/+0.0%) | 94.4%/20.6% (+0.1%/+0.2%) | 87.5%/40.9% (+0.1%/+0.2%) | 86.2%/50.9% (+0.0%/+0.2%) | 89.1%/57.2% (+0.1%/+0.1%) | 93.5%/65.3% (+0.0%/+0.1%) | 98.0%/78.5% (+0.0%/+0.2%) | 98.8%/86.0% (+0.0%/+0.2%) | 93.2%/81.2% (+0.0%/+0.2%) | |
| Waterloo Region | 87.2%/52.0% (+0.1%/+0.1%) | 91.7%/56.7% (+0.1%/+0.1%) | 36.6%/0.0% (+0.2%/+0.0%) | 93.8%/15.4% (+0.1%/+0.1%) | 89.3%/42.0% (+0.2%/+0.2%) | 90.6%/50.5% (+0.1%/+0.1%) | 89.1%/56.1% (+0.0%/+0.1%) | 88.9%/63.9% (+0.0%/+0.1%) | 94.1%/78.3% (+0.0%/+0.1%) | 98.9%/89.7% (+0.0%/+0.1%) | 100.0%/94.7% (+0.0%/+0.2%) | |
| Peel | 87.1%/44.0% (+0.1%/+0.2%) | 92.4%/47.9% (+0.1%/+0.2%) | 27.1%/0.0% (+0.3%/+0.0%) | 90.5%/12.6% (+0.1%/+0.2%) | 95.3%/33.8% (+0.1%/+0.2%) | 87.0%/38.5% (+0.1%/+0.1%) | 88.4%/46.0% (+0.1%/+0.2%) | 92.5%/58.7% (+0.0%/+0.1%) | 96.3%/72.2% (+0.0%/+0.2%) | 97.4%/79.9% (+0.0%/+0.2%) | 99.1%/82.8% (+0.0%/+0.3%) | |
| York | 86.9%/52.8% (+0.1%/+0.1%) | 91.2%/57.5% (+0.0%/+0.1%) | 37.5%/0.0% (+0.2%/+0.0%) | 97.3%/18.2% (+0.1%/+0.2%) | 84.4%/44.3% (+0.0%/+0.2%) | 89.3%/50.1% (+0.1%/+0.1%) | 91.0%/55.7% (+0.0%/+0.1%) | 90.0%/63.1% (+0.0%/+0.1%) | 93.3%/75.6% (+0.0%/+0.1%) | 97.3%/84.8% (+0.0%/+0.1%) | 100.0%/88.2% (+0.0%/+0.2%) | |
| Wellington-Guelph | 86.8%/54.0% (+0.1%/+0.1%) | 91.1%/59.0% (+0.0%/+0.1%) | 40.9%/0.0% (+0.2%/+0.0%) | 92.5%/17.3% (+0.1%/+0.1%) | 82.4%/39.9% (+0.0%/+0.1%) | 89.3%/48.6% (+0.0%/+0.1%) | 88.0%/55.8% (+0.0%/+0.1%) | 89.3%/64.9% (+0.0%/+0.1%) | 97.1%/82.6% (+0.0%/+0.1%) | 100.0%/94.5% (+0.0%/+0.2%) | 100.0%/100.0% (+0.0%/+0.0%) | |
| Thunder Bay | 86.1%/53.7% (+0.1%/+0.1%) | 90.2%/58.1% (+0.0%/+0.1%) | 35.7%/0.0% (+0.2%/+0.0%) | 90.7%/13.6% (+0.1%/+0.2%) | 81.3%/35.3% (+0.0%/+0.1%) | 90.5%/47.5% (+0.1%/+0.1%) | 88.0%/53.3% (+0.0%/+0.1%) | 87.8%/62.3% (+0.0%/+0.1%) | 93.9%/78.4% (+0.0%/+0.2%) | 100.0%/93.5% (+0.0%/+0.2%) | 100.0%/93.6% (+0.0%/+0.2%) | |
| Sudbury | 85.7%/52.2% (+0.0%/+0.1%) | 90.0%/56.4% (+0.0%/+0.1%) | 31.5%/0.0% (+0.2%/+0.0%) | 90.6%/11.2% (+0.1%/+0.1%) | 81.1%/32.9% (+0.1%/+0.1%) | 85.6%/41.1% (+0.0%/+0.1%) | 87.2%/50.2% (+0.0%/+0.1%) | 87.1%/60.1% (+0.0%/+0.1%) | 96.8%/80.7% (+0.0%/+0.1%) | 100.0%/92.5% (+0.0%/+0.2%) | 100.0%/92.4% (+0.0%/+0.1%) | |
| Peterborough | 85.4%/56.7% (+0.0%/+0.1%) | 89.2%/61.0% (+0.0%/+0.1%) | 35.8%/0.0% (+0.1%/+0.0%) | 89.5%/16.2% (+0.1%/+0.1%) | 76.8%/37.4% (+0.0%/+0.1%) | 89.1%/49.2% (+0.0%/+0.1%) | 87.4%/55.3% (+0.0%/+0.1%) | 82.1%/60.2% (+0.0%/+0.1%) | 95.1%/80.2% (-0.0%/+0.1%) | 100.0%/93.2% (+0.0%/+0.2%) | 100.0%/94.9% (+0.0%/+0.2%) | |
| Algoma | 85.4%/55.3% (+0.0%/+0.1%) | 89.0%/59.4% (+0.0%/+0.1%) | 37.0%/0.0% (+0.1%/+0.0%) | 89.2%/11.4% (+0.0%/+0.2%) | 77.9%/34.2% (+0.0%/+0.1%) | 88.4%/45.6% (+0.1%/+0.1%) | 87.0%/51.4% (+0.0%/+0.0%) | 83.7%/58.3% (+0.0%/+0.1%) | 95.3%/80.1% (+0.0%/+0.1%) | 97.7%/89.5% (+0.0%/+0.1%) | 98.4%/89.9% (+0.0%/+0.1%) | |
| Niagara | 85.2%/52.3% (+0.1%/+0.1%) | 89.3%/56.3% (+0.0%/+0.1%) | 31.4%/0.0% (+0.2%/+0.0%) | 86.5%/12.1% (+0.1%/+0.1%) | 79.8%/33.5% (+0.0%/+0.1%) | 90.1%/43.1% (+0.1%/+0.1%) | 87.2%/49.8% (+0.0%/+0.1%) | 85.7%/57.4% (+0.0%/+0.1%) | 95.0%/77.7% (+0.1%/+0.2%) | 97.7%/89.0% (+0.0%/+0.1%) | 100.0%/91.3% (+0.0%/+0.1%) | |
| City Of Hamilton | 85.2%/50.6% (+0.1%/+0.1%) | 89.5%/54.8% (+0.0%/+0.1%) | 32.7%/0.0% (+0.2%/+0.0%) | 89.7%/12.4% (+0.1%/+0.1%) | 84.9%/37.5% (+0.1%/+0.2%) | 87.4%/46.2% (+0.1%/+0.1%) | 87.6%/51.1% (+0.1%/+0.1%) | 87.7%/60.1% (+0.0%/+0.1%) | 93.7%/76.0% (+0.0%/+0.1%) | 97.6%/86.6% (+0.0%/+0.1%) | 99.1%/87.3% (+0.0%/+0.2%) | |
| Windsor | 84.9%/48.0% (+0.1%/+0.1%) | 89.7%/52.1% (+0.0%/+0.1%) | 28.0%/0.0% (+0.3%/+0.0%) | 86.7%/9.4% (+0.1%/+0.1%) | 80.2%/32.6% (+0.1%/+0.1%) | 93.0%/41.2% (+0.1%/+0.1%) | 88.9%/46.8% (+0.1%/+0.1%) | 89.2%/58.7% (+0.0%/+0.1%) | 94.4%/76.1% (+0.0%/+0.1%) | 98.5%/86.9% (+0.0%/+0.2%) | 99.2%/87.0% (+0.0%/+0.2%) | |
| Eastern Ontario | 84.8%/52.5% (+0.0%/+0.1%) | 89.6%/57.0% (+0.0%/+0.1%) | 29.9%/0.0% (+0.1%/+0.0%) | 88.1%/10.6% (+0.1%/+0.1%) | 78.7%/31.4% (+0.0%/+0.1%) | 87.9%/42.0% (+0.0%/+0.1%) | 86.5%/49.1% (+0.0%/+0.1%) | 85.3%/58.8% (+0.0%/+0.1%) | 96.7%/81.2% (+0.0%/+0.2%) | 100.0%/91.0% (+0.0%/+0.1%) | 100.0%/93.8% (+0.0%/+0.3%) | |
| Haliburton, Kawartha | 84.4%/55.5% (+0.1%/+0.1%) | 88.1%/59.1% (+0.0%/+0.1%) | 28.6%/0.0% (+0.4%/+0.0%) | 82.1%/8.7% (+0.2%/+0.2%) | 78.3%/32.4% (+0.0%/+0.1%) | 88.4%/41.0% (+0.0%/+0.0%) | 84.2%/47.6% (+0.0%/+0.1%) | 81.5%/55.5% (+0.0%/+0.1%) | 93.6%/78.1% (+0.0%/+0.1%) | 96.0%/88.2% (+0.0%/+0.2%) | 100.0%/91.6% (+0.0%/+0.2%) | |
| Brant County | 84.3%/48.6% (+0.1%/+0.1%) | 89.6%/53.3% (+0.0%/+0.1%) | 29.4%/0.0% (+0.1%/+0.0%) | 84.0%/11.2% (+0.1%/+0.3%) | 81.4%/31.5% (+0.1%/+0.1%) | 85.5%/39.5% (+0.0%/+0.1%) | 88.2%/48.0% (+0.0%/+0.1%) | 87.5%/58.9% (+0.0%/+0.1%) | 95.3%/77.5% (+0.0%/+0.1%) | 100.0%/93.5% (+0.0%/+0.2%) | 100.0%/96.3% (+0.0%/+0.2%) | |
| Simcoe-Muskoka | 84.2%/50.8% (+0.1%/+0.1%) | 88.6%/55.0% (+0.0%/+0.2%) | 31.0%/0.0% (+0.4%/+0.0%) | 88.2%/12.2% (+0.1%/+0.1%) | 79.3%/32.3% (+0.1%/+0.1%) | 86.5%/40.1% (+0.1%/+0.1%) | 85.1%/48.3% (+0.0%/+0.1%) | 84.5%/58.9% (+0.0%/+0.1%) | 96.6%/79.7% (+0.0%/+0.2%) | 97.9%/88.8% (+0.0%/+0.3%) | 100.0%/95.8% (+0.0%/+0.3%) | |
| North Bay | 83.6%/53.6% (+0.1%/+0.1%) | 87.7%/57.5% (+0.0%/+0.1%) | 28.6%/0.0% (+0.4%/+0.0%) | 85.0%/12.0% (+0.1%/+0.1%) | 75.2%/32.0% (+0.0%/+0.1%) | 84.6%/41.2% (+0.1%/+0.1%) | 83.9%/49.0% (+0.0%/+0.1%) | 82.8%/57.0% (+0.0%/+0.1%) | 96.1%/79.4% (+0.0%/+0.1%) | 97.5%/88.1% (-0.0%/+0.1%) | 100.0%/93.5% (+0.0%/+0.2%) | |
| Porcupine | 83.4%/46.3% (+0.0%/+0.1%) | 88.9%/50.7% (+0.0%/+0.1%) | 26.1%/0.0% (+0.2%/+0.0%) | 88.1%/8.0% (+0.1%/+0.1%) | 79.5%/27.3% (+0.0%/+0.1%) | 85.2%/35.2% (+0.0%/+0.1%) | 86.6%/44.2% (+0.0%/+0.1%) | 88.0%/57.5% (+0.0%/+0.1%) | 95.8%/76.9% (-0.0%/+0.1%) | 99.8%/88.1% (+0.0%/+0.1%) | 100.0%/89.8% (+0.0%/+0.1%) | |
| Huron Perth | 83.1%/54.4% (+0.0%/+0.1%) | 88.2%/59.6% (+0.0%/+0.1%) | 28.2%/0.0% (+0.3%/+0.0%) | 80.0%/9.4% (+0.1%/+0.1%) | 75.3%/33.5% (+0.0%/+0.1%) | 82.8%/43.5% (+0.0%/+0.1%) | 82.1%/50.3% (+0.0%/+0.1%) | 83.1%/60.5% (+0.0%/+0.1%) | 98.8%/85.6% (+0.0%/+0.2%) | 100.0%/100.0% (+0.0%/+0.0%) | 100.0%/99.7% (+0.0%/+0.1%) | |
| Hastings | 82.8%/54.7% (+0.0%/+0.1%) | 86.8%/58.9% (+0.0%/+0.1%) | 30.6%/0.0% (+0.2%/+0.0%) | 86.4%/12.7% (+0.0%/+0.0%) | 74.5%/32.6% (+0.0%/+0.1%) | 78.6%/41.6% (+0.0%/+0.0%) | 82.0%/50.0% (+0.0%/+0.0%) | 82.1%/58.7% (+0.0%/+0.1%) | 97.1%/82.3% (+0.0%/+0.1%) | 98.9%/90.7% (+0.0%/+0.1%) | 100.0%/94.4% (+0.0%/+0.2%) | |
| Timiskaming | 82.4%/51.5% (+0.1%/+0.1%) | 86.9%/55.8% (+0.0%/+0.1%) | 29.1%/0.0% (+0.3%/+0.0%) | 86.3%/12.0% (+0.1%/+0.1%) | 77.6%/31.8% (+0.1%/+0.1%) | 81.1%/38.4% (+0.1%/+0.0%) | 84.5%/47.9% (+0.1%/+0.0%) | 81.7%/57.2% (+0.0%/+0.1%) | 92.4%/74.9% (+0.0%/+0.0%) | 99.2%/89.7% (+0.0%/+0.3%) | 100.0%/87.2% (+0.0%/+0.2%) | |
| Southwestern | 82.2%/49.1% (+0.0%/+0.1%) | 87.3%/54.0% (+0.0%/+0.1%) | 30.5%/0.0% (+0.1%/+0.0%) | 80.8%/8.9% (+0.1%/+0.1%) | 75.4%/29.7% (+0.0%/+0.1%) | 85.1%/39.3% (+0.0%/+0.1%) | 84.4%/46.2% (+0.0%/+0.1%) | 85.3%/58.6% (+0.0%/+0.1%) | 96.2%/80.7% (+0.0%/+0.1%) | 100.0%/92.8% (+0.0%/+0.2%) | 100.0%/95.3% (+0.0%/+0.1%) | |
| Chatham-Kent | 82.1%/50.3% (+0.0%/+0.1%) | 87.1%/54.6% (+0.0%/+0.1%) | 24.4%/0.0% (+0.2%/+0.0%) | 77.6%/9.0% (+0.1%/+0.1%) | 75.7%/31.0% (+0.0%/+0.1%) | 81.2%/36.2% (+0.0%/+0.1%) | 84.9%/44.5% (+0.0%/+0.2%) | 83.9%/54.9% (+0.0%/+0.1%) | 96.3%/79.2% (-0.0%/-0.0%) | 100.0%/90.8% (+0.0%/+0.0%) | 100.0%/91.1% (+0.0%/+0.1%) | |
| Lambton | 80.8%/50.5% (+0.0%/+0.1%) | 85.0%/54.6% (+0.0%/+0.1%) | 29.1%/0.0% (+0.1%/+0.0%) | 82.8%/7.9% (+0.1%/+0.1%) | 75.0%/31.1% (+0.0%/+0.1%) | 84.3%/40.8% (+0.0%/+0.1%) | 83.5%/47.6% (+0.0%/+0.1%) | 80.7%/54.5% (+0.0%/+0.1%) | 88.9%/74.2% (+0.0%/+0.1%) | 96.2%/90.6% (+0.0%/+0.2%) | 96.3%/89.3% (+0.0%/+0.1%) | |
| Renfrew | 80.6%/51.3% (+0.0%/+0.1%) | 85.3%/55.7% (+0.0%/+0.1%) | 26.4%/0.0% (+0.2%/+0.0%) | 84.9%/12.4% (+0.1%/+0.1%) | 74.5%/31.2% (+0.0%/+0.1%) | 70.8%/35.6% (+0.0%/+0.0%) | 78.6%/45.6% (+0.0%/+0.0%) | 84.0%/57.2% (+0.0%/+0.0%) | 98.4%/81.0% (+0.0%/+0.1%) | 99.7%/90.4% (-0.0%/+0.3%) | 100.0%/92.2% (+0.0%/+0.2%) | |
| Grey Bruce | 79.8%/53.3% (+0.0%/+0.1%) | 84.5%/57.8% (+0.0%/+0.1%) | 24.8%/0.0% (+0.1%/+0.0%) | 78.6%/8.7% (+0.1%/+0.2%) | 71.7%/32.4% (+0.0%/+0.1%) | 81.1%/43.6% (+0.0%/+0.1%) | 84.2%/51.1% (+0.0%/+0.0%) | 79.2%/56.6% (+0.0%/+0.0%) | 91.7%/77.6% (-0.0%/+0.1%) | 96.1%/89.1% (-0.0%/+0.2%) | 93.9%/85.6% (-0.0%/+0.1%) | |
| Haldimand-Norfolk | 79.3%/47.4% (+0.0%/+0.1%) | 84.1%/51.5% (+0.0%/+0.2%) | 23.8%/0.0% (+0.1%/+0.0%) | 71.0%/7.1% (+0.0%/+0.1%) | 68.3%/24.9% (+0.1%/+0.2%) | 82.3%/32.5% (+0.1%/+0.2%) | 82.9%/40.3% (+0.1%/+0.2%) | 81.4%/51.0% (+0.0%/+0.1%) | 92.2%/75.1% (+0.0%/+0.2%) | 98.9%/92.2% (+0.0%/+0.2%) | 100.0%/95.1% (+0.0%/+0.1%) |
| Province | Yesterday | Averages->> | Last 7 | Prev 7 | Per 100k->> | Last 7/100k | Prev 7/100k | Positive % - last 7 | Vaccines->> | Vax(day) | To date (per 100) | Weekly vax update->> | % with 1+ | % with both |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Canada | 7,608 | 9996.1 | 9535.0 | 183.0 | 174.5 | 19.4 | 126,458 | 216.0 | 84.76 | 81.4 | ||||
| Ontario | 3,833 | 3475.9 | 2950.1 | 164.1 | 139.3 | 19.9 | 38,456 | 218.0 | 84.47 | 81.3 | ||||
| Quebec | 3,515 | 3100.9 | 2978.6 | 252.3 | 242.3 | 16.7 | 47,521 | 220.9 | 85.73 | 83.0 | ||||
| Nova Scotia | N/R | 987.4 | 998.7 | 696.7 | 704.7 | 29.8 | 0 | 223.5 | 90.62 | 85.8 | ||||
| Alberta | N/R | 879.4 | 787.7 | 138.6 | 124.1 | 26.1 | 0 | 194.1 | 79.93 | 75.9 | ||||
| New Brunswick | N/R | 565.4 | 522.4 | 501.5 | 463.4 | 40.1 | 0 | 220.5 | 88.4 | 83.3 | ||||
| Prince Edward Island | N/R | 318.4 | 368.0 | 1356.5 | 1567.7 | 567.2 | 0 | 227.9 | 91.03 | 87.1 | ||||
| Newfoundland | 246 | 243.1 | 286.4 | 327.0 | 385.2 | 28.1 | 0 | 241.4 | 95.8 | 91.8 | ||||
| Manitoba | N/R | 242.6 | 194.1 | 122.7 | 98.2 | 21.3 | 0 | 206.9 | 83.37 | 80.0 | ||||
| Saskatchewan | N/R | 150.1 | 147.4 | 89.1 | 87.5 | 13.0 | 2,886 | 203.0 | 80.81 | 76.5 | ||||
| Northwest Territories | N/R | 18.9 | 32.1 | 290.1 | 494.5 | 93.0 | 0 | 220.1 | 80.17 | 76.7 | ||||
| Yukon | 14 | 14.0 | 14.9 | 228.0 | 241.9 | inf | 0 | 213.2 | 83.91 | 80.6 | ||||
| British Columbia | N/R | 0.0 | 246.0 | 0.0 | 33.0 | 0.0 | 37,595 | 221.3 | 86.43 | 82.9 | ||||
| Nunavut | N/R | 0.0 | 8.4 | 0.0 | 149.7 | nan | 0 | 195.6 | 83.27 | 72.1 |
| LTC_Home | City | Beds | New LTC cases | Current Active Cases |
|---|---|---|---|---|
| Villa Forum | Mississauga | 160 | 14.0 | 22.0 |
| Villa Colombo Seniors Centre (Vaughan) | Vaughan | 160 | 12.5 | 15.0 |
| St. Joseph's Villa, Dundas | Dundas | 425 | 11.5 | 14.0 |
| Algonquin Nursing Home | Mattawa | 73 | 8.0 | 13.0 |
| The Villa Care Centre | Midland | 114 | 7.5 | 10.0 |
| Northview Nursing Home | Englehart | 48 | 6.5 | 15.0 |
| Arbour Heights | Kingston | 174 | 5.0 | 5.0 |
| LTC_Home | City | Beds | Today's Deaths | All-time Deaths |
|---|---|---|---|---|
| Northview Nursing Home | Englehart | 48 | 2.5 | 2.5 |
| Reporting_PHU | Age_Group | Client_Gender | Case_AcquisitionInfo | Case_Reported_Date | Episode_Date | Count |
|---|---|---|---|---|---|---|
| Windsor | 30s | MALE | Community | 2022-05-09 | 2022-05-08 | -1 |
| London | 60s | MALE | Community | 2022-04-23 | 2022-04-22 | 1 |
| Durham | 70s | FEMALE | Close contact | 2022-04-10 | 2022-04-06 | 1 |
| Grey Bruce | 70s | MALE | Community | 2022-04-28 | 2022-04-28 | 1 |
| Peel | 70s | MALE | Community | 2022-04-09 | 2022-04-09 | 1 |
| Peel | 70s | FEMALE | Outbreak | 2022-04-21 | 2022-04-20 | 1 |
| Simcoe-Muskoka | 70s | MALE | Community | 2022-04-06 | 2022-04-06 | 1 |
| Timiskaming | 70s | MALE | Outbreak | 2022-05-03 | 2022-05-02 | 1 |
| Brant | 80s | MALE | Outbreak | 2022-04-22 | 2022-04-22 | 1 |
| Chatham-Kent | 80s | MALE | Close contact | 2022-05-07 | 2022-05-06 | -1 |
| Niagara | 80s | MALE | Community | 2022-05-07 | 2022-04-28 | 1 |
| Niagara | 80s | MALE | Community | 2022-05-07 | 2022-05-06 | -1 |
| Ottawa | 80s | MALE | Community | 2022-04-02 | 2022-03-28 | 1 |
| Ottawa | 80s | FEMALE | Community | 2022-05-04 | 2022-04-28 | 1 |
| Algoma | 90+ | FEMALE | Outbreak | 2022-04-13 | 2022-04-13 | 1 |
| Brant | 90+ | FEMALE | Close contact | 2022-04-21 | 2022-04-08 | 1 |
| Chatham-Kent | 90+ | MALE | Close contact | 2022-04-28 | 2022-04-26 | -1 |
| Haldimand-Norfolk | 90+ | FEMALE | Close contact | 2022-05-09 | 2022-05-09 | 1 |
| Peel | 90+ | MALE | Outbreak | 2022-04-29 | 2022-04-29 | 1 |
| Simcoe-Muskoka | 90+ | MALE | Outbreak | 2022-05-08 | 2022-05-08 | 1 |
| Thunder Bay | 90+ | MALE | Outbreak | 2022-04-26 | 2022-04-25 | 1 |
| Toronto PHU | 90+ | MALE | Outbreak | 2022-04-29 | 2022-04-29 | -1 |
| Toronto PHU | 90+ | FEMALE | Outbreak | 2022-05-06 | 2022-05-04 | 1 |
| Windsor | 90+ | MALE | Community | 2022-05-04 | 2022-05-02 | 1 |
2022.04.28 13:22 lurahousecare Tư vấn mua xe SUV, các dòng xe gầm cao 5 chỗ, 7 chỗ giá xe & ưu nhược điểm
Vài năm trở lại đây, xe gầm cao nổi lên như một sự thay thế hoàn hảo cho những mẫu sedan cùng tầm giá bởi tính đa dụng và thiết kế mạnh mẽ, cứng cáp đặc trưng. Trong bài viết này, danhgiaXe sẽ tổng hợp tất cả các mẫu SUV phổ thông mà khách hàng có thể mua được tại Việt Nam. 1. Cần quan tâm gì khi mua xe SUV?Thiết kế ngoại thất cũng là một yếu tố quan trọng khi chọn mua SUV, đặc biệt là tại thị trường Việt Nam. Một thiết kế đẹp mắt và khỏe khoắn được xem là tiêu chuẩn của nhiều khách hàng khi chọn mua SUV. Không gian cũng là yếu tố được nhiều khách hàng quan tâm khi chọn mua SUV. Bản thân chữ “SUV” tại thị trường Việt Nam cũng phần nào được nhiều khách hàng hiểu là một mẫu xe có không gian rộng rãi và thoải mái hơn so với những mẫu sedan cùng tầm tiền. 📷Không gian nội thất trên Hyundai Santa Fe Bên cạnh đó, khoảng sáng gầm cũng là thông số được các chuyên gia và khách hàng có kinh nghiệm lưu tâm. Tình trạng ngập lụt tại các đô thị lớn là một phần nguyên nhân cho sự chuyển dịch sang phân khúc SUV tại Việt Nam. Do đó, một mẫu xe có khoảng sáng gầm lớn về lý thuyết sẽ mang đến nhiều lợi thế hơn khi cần vượt qua các đoạn đường trũng thấp. 📷Toyota Fortuner có khoảng sáng gầm lên đến 279 mmKhả năng vận hành cũng là yếu tố thu hút nhiều khách hàng đến với một mẫu SUV. Ở phân khúc SUV đô thị (B-SUV), các nhà sản xuất thường sử dụng những mẫu động cơ cỡ nhỏ để đảm bảo tính kinh tế. Tuy nhiên, khi lên đến những phân khúc cao hơn như C-SUV hay D-SUV, những mẫu xe có động cơ mạnh mẽ và hệ dẫn động 4 bánh luôn giành được nhiều sự quan tâm hơn. Bạn có thể tìm hiểu thêm những yếu tố khác cần quan tâm khi chọn mua xe SUV qua bài viết dưới đây: Lựa chọn xe SUV gia đình, cần quan tâm điều gì?Dừng lại một chút bác ơi!! Deal Hot đang chờ bác. ƯU ĐÃI MUA BẢO HIỂM Ô TÔ LIBERTY HOÀN PHÍ ĐẾN 35% Hiện tại danhgiaXe.com kết hợp cùng bảo hiểm Liberty Việt Nam ra mắt chương trình ưu đãi đặc biệt HOÀN PHÍ ĐẾN 35% khi mua bảo hiểm thân vỏ (giúp bác tiết kiệm một số tiền kha khá đấy!) Vì số lượng ưu đãi có hạn nên bác nào quan tâm thì nhanh tay bấm vào nút bên dưới để được tư vấn cụ thể nhé, các bác chỉ mất 30s. P/s: Liberty (công ty Mỹ) là một trong các công ty Top đầu về bảo hiểm ô tô ở Việt Nam. Đăng kí nhận ưu đãi ngay! Xem thông tin chi tiết TẠI ĐÂY 2. Các phân khúc SUV tại Việt NamDựa theo kích thước, động cơ và giá bán đề xuất, có thể chia các mẫu SUV phổ thông tại Việt Nam thành 3 phân khúc chính: B-SUV: Còn được biết đến là phân khúc “SUV đô thị”, những mẫu xe ở phân khúc này thường có giá bán dễ tiếp cận, cấu hình 5 chỗ ngồi, động cơ có sức mạnh vừa phải và tiết kiệm nhiên liệu đi cùng không gian đủ thoải mái cho 2 hàng ghế. Những mẫu xe tiêu biểu có thể kể đến như: Kia Seltos, Hyundai Kona, MG ZS, ... 📷MG ZS thuộc phân khúc B-SUVC-SUV: Những mẫu xe ở phân khúc này có kích thước lớn, không gian rộng rãi và được ưu tiên trang bị động cơ mạnh mẽ hơn. Bên cạnh đó, một số mẫu xe ở phân khúc này cũng được sử dụng cấu hình 5+2 chỗ ngồi giúp tối ưu giá trị sử dụng của không gian xe (Honda CR-V, Mitsubishi Outlander). Các tính năng trang bị cũng bắt đầu được các nhà sản xuất ô tô đầu tư nhiều hơn cho sản phẩm của mình ở phân khúc C-SUV, đặc biệt là các gói an toàn thông minh với các tính năng nổi bật như Hỗ trợ phanh tự động, Cảnh báo chệch làn hay Ga tự động thích ứng, ... 📷Mazda CX-5 là mẫu C-SUV sở hữu nhiều trang bị an toàn cao cấp từ bộ công nghệ Mazda i-ActivSenseNhững mẫu xe tiêu biểu ở phân khúc này là: Mazda CX-5, Toyota Corolla Cross, Hyundai Tucson, Honda CR-V, Mitsubishi Outlander ... 📷Honda CR-V - mẫu C-SUV với 7 chỗ ngồiD-SUV: Đây là phân khúc SUV cao nhất của những mẫu xe phổ thông tại thị trường Việt Nam. Giá bán ở phân khúc này do đó cũng cao hơn đáng kể (1 tỷ - 1.5 tỷ). Những mẫu xe ở phân khúc này cũng được các hãng tập trung đầy đủ các công nghệ cao cấp nhất, đi cùng thiết kế bắt mắt, sang trọng và khả năng vận hành mạnh mẽ. Hầu hết các mẫu xe trong phân khúc này đề sử dụng cấu hình 7 chỗ ngồi do lợi thế sẵn có về mặt kích thước. 📷Mazda CX-8 được đánh giá cao nhờ thiết kế hiện đại và đẹp mắt hàng đầu trong phân khúc D-SUVNhững mẫu xe nổi bật trong phân khúc này hầu hết đều là những cái tên quen thuộc và đã tạo được chỗ đứng nhất định trong lòng khách hàng Việt: Toyota Fortuner, Ford Everest, Kia Sorento, Hyundai Santa Fe, ... Xem thêm: 10 Lý do khiến khách hàng nghiện xe SUV 📷Kia Sorento All New - mẫu xe thuộc phân khúc D-SUV tại Việt Nam3. Thông tin các mẫu xe theo từng phân khúcB – SUV (SUV đô thị) 1. MG ZS (569 – 619 triệu đồng) Giá bán: • STD: 519 triệu • 1.5 2WD COM: 569 triệu • 1.5 2WD LUX: 619 triệu Thông tin sơ bộ: • Động cơ xăng 1.5L (112 hp – 150 Nm) • Hộp tự động vô cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.323 x 1.809 x 1.653 mm • Chiều dài cơ sở: 2.585 mm • Khoảng sáng gầm xe: 170 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.59L/100 km 📷MG ZS - mẫu xe mới trong phân khúc B-SUV tại Việt NamNhận xét ưu & nhược điểm: Giá bán hấp dẫn đi cùng thiết kế đẹp mắt là những ưu điểm chính của MG ZS. Thương hiệu và khả năng vận hành chỉ ở mức đủ dùng lại là những yếu tố khiến nhiều khách hàng còn e dè. Xem thêm: Đánh giá sơ bộ xe MG ZS 20212. Ford Ecosport (603 – 686 triệu đồng) EcoSport hiện đã ngừng phân phối chính hãng tại Việt Nam, các bác quan tâm dòng xe này có thể tham khảo trên các sàn xe cũ. Giá bán: • 1.5 AT Trend: 603 triệu • 1.5 AT Titanium: 646 triệu • 1.0 AT Titanium: 686 triệu Thông tin sơ bộ: • Động cơ xăng 1.5L (120 hp – 151 Nm) / 1.0L tăng áp (125 hp – 170 Nm) • Hộp số sàn 5 cấp / tự động 6 cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.096 x 1.765 x 1.665 mm • Chiều dài cơ sở: 2.519 mm • Khoảng sáng gầm: 175 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.17 L/100 km (động cơ 1.5L) / 6.39 L/100 km (động cơ tăng áp 1.0L) 📷Ford Ecosport - mẫu B-SUV từng một thời thống trị phân khúc tại Việt NamNhận xét ưu & nhược điểm: Thiết kế mạnh mẽ, cứng cáp đặc trưng xe Mỹ là ưu điểm của Ecosport so với các đối thủ trong phân khúc. Tuy nhiên, không gian không quá rộng rãi và sức mạnh động cơ chỉ ở mức tương đối lại là rào cản của mẫu xe này. Xem thêm: Đánh giá sơ bộ xe Ford Ecosport 20213. Kia Seltos (609 – 729 triệu đồng) Giá bán: • 1.4 Deluxe: 609 triệu • 1.4 Luxury: 659 triệu • 1.4 Premium: 729 triệu Thông tin sơ bộ: • Động cơ xăng 1.4L tăng áp (138 hp – 242 Nm) • Hộp tự động ly hợp kép 7 cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.165 x 1.800 x 1.565 mm • Chiều dài cơ sở: 2.600mm • Khoảng sáng gầm xe: 190 mm. • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.3L/100 km 📷Mẫu B-SUV Kia SeltosNhận xét ưu & nhược điểm: Thiết kế đẹp mắt với hệ thống đèn full LED độc đáo là điểm nhấn chính trên Kia Seltos mới. Bên cạnh đó, không gian nội thất rộng rãi với danh sách options phong phú trên Seltos cũng được nhiều khách hàng đánh giá cao. Tuy nhiên, hộp số ly hợp kép có nguy cơ bị quá nhiệt trong điều kiện kẹt xe lại là điểm trừ khiến nhiều khách hàng băn khoăn trước khi "xuống tiền". Xem thêm: Đánh giá xe KIA Seltos 2022: SUV đô thị đáng cân nhắc4. Mazda CX-3 (629 – 709 triệu đồng) Giá bán: • 1.5 Deluxe: 639 triệu • 1.5 Luxury: 679 triệu • 1.5 Premium: 719 triệu Thông tin sơ bộ: • Động cơ xăng 1.5L (110 hp – 144 Nm) • Hộp tự động 6 cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.275 x 1.765 x 1.535 mm • Chiều dài cơ sở: 2.570 mm • Khoảng sáng gầm: 155 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.8 L/100 km 📷Mazda CX-3 là mẫu xe mới nhất trong phân khúc B-SUV tại Việt NamNhận xét ưu & nhược điểm: Thiết kế đẹp mắt đi cùng cảm giác lái tốt là những ưu điểm chính của CX-3. Tuy vậy, không gian khoang cabin hạn chế lại là điểm yếu lớn trên mẫu xe này. Xem thêm: Đánh giá Mazda CX-3 2022: mẫu crossover có thiết kế đẹp mắt và những trang bị an toàn hàng đầu trong phân khúc 5. Hyundai Kona (636 – 750 triệu đồng) Giá bán: • 2.0 AT Tiêu chuẩn: 636 triệu • 2.0 AT Đặc biệt: 699 triệu • 1.6 Turbo: 750 triệu Thông tin sơ bộ: • Động cơ xăng 2.0L (148 hp – 180 Nm) / 1.6L tăng áp (175 hp – 265 Nm) • Hộp số tự động 6 cấp / ly hợp kép 7 cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.096 x 1.765 x 1.665 mm • Chiều dài cơ sở: 2.519 mm • Khoảng sáng gầm: 170 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.79 L/100 km (động cơ 2.0L) / 6.93 L/100 km (động cơ tăng áp 1.6L) 📷Mẫu B-SUV Hyundai KonaNhận xét ưu & nhược điểm: Thiết kế lạ mắt với dải đèn định vị tách rời đi cùng khả năng vận hành mạnh mẽ so với các đối thủ cùng phân khúc giúp Kona ghi điểm trong mắt khách hàng. Tuy nhiên, nhược điểm về không gian cũng như hiện tượng quá nhiệt hộp số ly hợp kép trên Kona cũng nhận không ít ý kiến trái chiều từ khách hàng. Xem thêm: Đánh giá chi tiết Hyundai Kona 20206. Honda HR-V (786 – 866 triệu đồng) Giá bán: • G CVT: 786 triệu • L CVT: 866 triệu Thông tin sơ bộ: • Động cơ xăng 1.8L (141 hp – 172 Nm) • Hộp tự động vô cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.334 x 1.772 x 1.605 mm • Chiều dài cơ sở: 2.610mm • Khoảng sáng gầm xe: 170 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.7L/100 km 📷Honda HR-V là mẫu B-SUV có giá cao vượt tầm phân khúc tại Việt NamNhận xét ưu & nhược điểm: Thiết kế đẹp mắt, hiện đại và cảm giác lái tốt đặc trưng của một mẫu xe nhà Honda là điểm cộng chính trên HR-V. Dù vậy, giá bán cao vượt tầm phân khúc lại trở thành rào cản chính của mẫu xe này đối với một bộ phận không nhỏ khách hàng Việt. Xem thêm: Đánh giá sơ bộ Honda HR-V 2021C – SUV 1. Beijing X7 (528 – 688 triệu đồng) Giá bán: • MT: 528 triệu • E: 658 triệu • Premium: 688 triệu Thông tin sơ bộ: • Động cơ xăng 1.5L tăng áp (188 hp – 275 Nm) • Hộp tự động ly hợp kép 7 cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.710 x 1.892 x 1.715mm • Chiều dài cơ sở: 2.800 mm • Khoảng sáng gầm xe: 180 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: - L/100 km 📷Beijing X7 là mẫu C-SUV với danh sách trang bị tiện nghi và công nghệ hàng đầu phân khúcNhận xét ưu & nhược điểm: Thiết kế đẹp mắt, trang bị tiện nghi và an toàn phong phú đi cùng động cơ tăng áp mạnh mẽ là những ưu điểm chính trên X7. Ở chiều ngược lại, thương hiệu Trung Quốc chính là rào cản lớn nhất trên con đường chinh phục thị trường của mẫu xe này. 2. Toyota Corolla Cross (720 – 910 triệu đồng) Giá bán: • 1.8 G: 720 triệu • 1.8 V: 820 triệu • 1.8 HV: 910 triệu Thông tin sơ bộ: • Động cơ xăng 1.8L (137 hp – 172 Nm) / hybrid 1.8L (150 hp – 305 Nm) • Hộp số tự động vô cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.460 x 1.825 x 1.620 mm • Chiều dài cơ sở: 2.640 mm • Khoảng sáng gầm: 161 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 7.63 L/100 km (động cơ 1.8L) / 4.2 L/100 km (động cơ hybrid 1.8L) 📷Toyota Corolla Cross là mẫu C-SUV đi tiên phong trong việc phổ cập xe lai hybrid tại Việt NamNhận xét ưu & nhược điểm: Thương hiệu mạnh và thiết kế trẻ trung, đẹp mắt là những yếu tố thu hút khách hàng trên mẫu xe được đánh giá là "con lai" giữa phân khúc B-SUV và C-SUV này. Tuy nhiên, lượng trang bị / giá thành ở mức vừa đủ của Corolla Cross có thể vẫn chưa được một bộ phận khách hàng chấp nhận. Xem thêm: Đánh giá Toyota Corolla Cross 2022: “ông hoàng doanh số” trong phân khúc xe gầm cao dưới 1 tỷ tại Việt Nam3. Hyundai Tucson (799 – 940 triệu đồng) Giá bán: • 2.0 MPI Tiêu chuẩn: 799 triệu • 2.0 MPI Đặc biệt: 878 triệu • 1.6 Turbo Đặc biệt: 932 triệu • 2.0 Diesel Đặc biệt: 940 triệu Thông tin sơ bộ: • Động cơ xăng 2.0L (155 hp – 192 Nm) / diesel 2.0L (185 hp – 402 Nm) / xăng tăng áp 1.6L (177 hp – 265 Nm) • Hộp tự động 6 cấp (2.0L xăng) / tự động 8 cấp (2.0L diesel) / ly hợp kép 8 cấp (1.6L tăng áp) • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.480 x 1.850 x 1.660 mm • Chiều dài cơ sở: 2.670 mm • Khoảng sáng gầm xe: 172 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 7.1 L/100 km (động cơ xăng 2.0L) / 5.2 L/100 km (động cơ diesel 2.0L) / 7.2 L/100 km (động cơ xăng tăng áp 1.6L) 📷Hyundai Tucson là mẫu C-SUV cung cấp nhiều tùy chọn động cơ nhất trong phân khúcNhận xét ưu & nhược điểm: Không gian rộng rãi, thiết kế hiện đại, trang bị phong phú và nhiều tùy chọn động cơ là những ưu điểm chính của Hyundai Tucson. Tuy nhiên, nhược điểm về tầm quan sát kém (góc chữ A lớn) lại khiến một bộ phận khách hàng băn khoăn trước khi "xuống tiền". Xem thêm: Đánh giá Hyundai Tucson 2022: công nghệ hiện đại bên trong diện mạo đậm chất tương lai4. Mitsubishi Outlander (825 – 1.058 triệu đồng) Giá bán: • 2.0 CVT: 825 triệu • 2.0 CVT Premium: 950 triệu • 2.4 CVT Premium: 1.058 triệu Thông tin sơ bộ: • Động cơ xăng 2.0L (143 hp – 196 Nm) • Hộp tự động vô cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.695 x 1.810 x 1.710 mm • Chiều dài cơ sở: 2.670 mm • Khoảng sáng gầm: 190 • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 7.25 L/100 km 📷Mitsubishi Outlander là mẫu C-SUV có thiết kế la-zăng nổi bật và đẹp mắtNhận xét ưu & nhược điểm: Thiết kế mạnh mẽ, khỏe khoắn cùng khả năng vận hành và không gian rộng rãi là những điểm nhấn chính trên Outlander 2021. Tuy nhiên, thiết kế nội thất có phần lỗi thời lại là nhược điểm bị nhiều khách hàng phản ánh trên Outlander. Xem thêm: Đánh giá sơ bộ xe Mitsubishi Outlander 20215. Mazda CX-30 (839 – 899 triệu đồng) Giá bán: • 2.0 Luxury: 849 triệu • 2.0 Premium: 899 triệu Thông tin sơ bộ: • Động cơ xăng 2.0L (153 hp – 200 Nm) • Hộp tự động 6 cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.395 x 1.795 x 1.540 mm • Chiều dài cơ sở: 2.655 mm • Khoảng sáng gầm: 175 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: - L/100 km 📷Mazda CX-30 là mẫu C-SUV được định vị giữa CX-3 và CX-5 của Mazda tại Việt NamNhận xét ưu & nhược điểm: Tương tự như CX-3, thiết kế đẹp mắt đi cùng cảm giác lái tốt là những ưu điểm chính của CX-30. Tuy nhiên, không gian khoang cabin vẫn còn hạn chế so với các đối thủ cùng phân khúc vẫn là điểm yếu cần khắc phục trên mẫu xe này. Xem thêm: Đánh giá Mazda CX-30 2022: thiết kế đẹp mắt, nội thất sang trọng, tiện nghi và trải nghiệm vận hành nhiều cảm xúc 6. Mazda CX-5 (839 – 1.059 triệu đồng) Giá bán: • 2.0L FWD Deluxe: 839 triệu • 2.0L FWD Luxury: 879 triệu • 2.5L Luxury: 889 triệu • 2.0L Premium: 919 triệu • 2.5L Signature Premium 2WD: 999 triệu • 2.5L 2WD Signature Premium (trang bị i-Activsense): 999 triệu • 2.5L AWD Signature Premium (trang bị i-Activsense): 1.059 triệu Thông tin sơ bộ: • Động cơ xăng 2.0L (154 hp – 200 Nm) / xăng2.5L (188 hp – 252 Nm) • Hộp số tự động 6 cấp • Hệ dẫn động cầu trước / dẫn động hai cầu toàn thời gian • Kích thước tổng thể: 4.550 x 1.840 x 1.680 mm • Chiều dài cơ sở: 2.700 mm • Khoảng sáng gầm: 200 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 7.3 L/100 km (động cơ 2.0L) / 7.8 L/100 km (động cơ 2.5L – cầu trước) / 8.4 L/100 km (động cơ 2.5L – hai cầu) 📷Mazda CX-5 tại khu phức hợp Chu Lai, Quảng NamNhận xét ưu & nhược điểm: Thiết kế đẹp mắt, trang bị tiện nghi phong phú và khả năng vận hành mạnh mẽ là những điểm nhấn chính trên mẫu SUV hạng C nhà Mazda. Không gian trên CX-5 đã có nhiều sự nâng cấp từ hai mẫu xe đàn em, tuy nhiên vẫn chỉ được nhiều chuyên gia và khách hàng đánh giá ở mức đủ dùng trong phân khúc. Xem thêm: Đánh giá Mazda CX-5 2022: mẫu SUV góp phần định hình thương hiệu Mazda tại Việt Nam7. Peugeot 3008 (979 – 1.069 triệu đồng) Giá bán: • AT: 979 triệu • AL: 1.069 triệu Thông tin sơ bộ: • Động cơ xăng 1.6L tăng áp (165 hp – 245 Nm) • Hộp tự động 6 cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.510 x 1.850 x 1.662 mm • Chiều dài cơ sở: 2.730 mm • Khoảng sáng gầm xe: 219 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.84 L/100 km 📷Mẫu C-SUV Peugeot 3008Nhận xét ưu & nhược điểm: Thương hiệu Pháp, thiết kế độc đáo từ ngoài vào trong cùng khả năng vận hành mạnh mẽ là những ưu điểm chính của 3008. Tuy nhiên, việc đã ra mắt từ 2017 cũng khiến mẫu xe có phần lỗi thời.
Thiết kế mạnh mẽ, cảm giác lái tốt và không gian rộng rãi là những ưu điểm được khách hàng đánh giá cao trên CR-V 2021. Các trang bị an toàn cao cấp trong gói Honda Sensing cũng được nhiều chuyên gia cho điểm tích cực trên mẫu SUV hạng C.
Tuy nhiên, độ ù khi vận hành cùng hàng ghế 3 chỉ ở mức "cho có" của CR-V cũng nhận nhiều đánh giá không tích cực từ khách hàng.
Xem thêm: Đánh giá Honda CR-V 2022: Xe gầm cao đáng đồng tiền bát gạo
D – SUV
1. Toyota Fortuner (995 – 1.426 triệu đồng)
Giá bán:
• Diesel 2.4 MT 4x2: 995 triệu
• Diesel 2.4 AT 4x2: 1.080 triệu
• Diesel 2.4 AT 4x2 Legender: 1.195 triệu
• Diesel 2.8 AT 4x4: 1.388 triệu
• Diesel 2.8 AT 4x4 Legenger: 1.426 triệu
• Xăng 2.7 AT 4x2: 1.130 triệu
• Xăng 2.7 AT 4x4: 1.230 triệu
Thông tin sơ bộ:
• Động cơ diesel 2.4L (147 hp – 400 Nm), 2.8L (201 hp – 500 Nm), động cơ xăng 2.7L (164 hp – 245 Nm)
• Hộp số sàn 6 cấp, số tự động 6 cấp
• Hệ dẫn động cầu sau/2 cầu bán thời gian 4WD
• Kích thước tổng thể: 4.795 x 1.855 x 1.835 mm
• Chiều dài cơ sở: 2.745 mm
• Khoảng sáng gầm xe: 279 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 8.28 L/100 km (động cơ diesel 2.4L), 8.63 L/100 km (động cơ diesel 2.8L), 10.7 L/100 km (động cơ xăng 2.7L).
📷Toyota Fortuner là một trong những mẫu xe giúp tạo dựng nên hình ảnh thương hiệu Toyota tại Việt Nam
Nhận xét ưu & nhược điểm:
Fortuner từng một thời được xem là “tượng đài” của Toyota tại thị trường Việt Nam. Thiết kế đẹp mắt, khỏe khoắn, không gian rộng rãi cùng khả năng vận hành mạnh mẽ, ổn định là những ưu điểm được khách hàng đánh giá cao trên Fortuner.
Ngược lại, cảm giác lái nhàm chán, độ ồn khoang máy và mức giá tương đối cao so với trang bị là những nhược điểm có thể kể đến trên Fortuner.
Xem thêm: Đánh giá xe Toyota Fortuner Legender 2022: Thay đổi nhẹ nhưng đúng lúc
2. Mazda CX-8 (999 – 1.259 triệu đồng)
Giá bán:
• 2.5 AT Deluxe: 999 triệu
• 2.5 AT Luxury: 1.059 triệu
• 2.5 AT Premium: 1.169 triệu
• 2.5 AT Premium AWD: 1.259 triệu
Thông tin sơ bộ:
• Động cơ xăng 2.5L (188 hp – 252 Nm)
• Hộp số tự động 6 cấp
• Hệ dẫn động cầu trước/2 cầu toàn thời gian AWD
• Kích thước tổng thể: 4.900 x 1.840 x 1.730 mm
• Chiều dài cơ sở: 2.930 mm
• Khoảng sáng gầm xe: 200 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 9.58 L/100 km.
📷Mazda CX-8 là mẫu xe có thiết kế hiện đại và đẹp mắt trong phân khúc D-SUV
Nhận xét ưu & nhược điểm:
Thiết kế đẹp mắt đặc trưng theo ngôn ngữ Kodo vẫn được Mazda duy trì trên CX-8. Bên cạnh thiết kế, trang bị phong phú và sử dụng vật liệu cao cấp cũng là những ưu điểm quan trọng trên CX-8. Cảm giác lái được nhiều chuyên gia và khách hàng đánh giá là tốt nhất trong các xe phổ thông cũng giúp CX-8 tăng thêm lợi thế cạnh tranh.
Xem thêm: Đánh giá sơ bộ Mazda CX-8 2021
3. Ford Everest (999 – 1.399 triệu đồng)
Giá bán:
• Sport 2.0 AT 4x2: 1.112 triệu
• Titanium 2.0 AT 4x2: 1.181 triệu
• Titanium 2.0 Bi-turbo AT 4WD: 1.399 triệu
Thông tin sơ bộ:
• Động cơ diesel 2.0L (178 hp – 420 Nm), diesel bi-turbo 2.0L (211 hp – 500 Nm)
• Hộp số sàn 6 cấp, số tự động 10 cấp
• Hệ dẫn động cầu sau/2 cầu toàn thời gian 4WD
• Kích thước tổng thể: 4.892 x 1.860 x 1.837 mm
• Chiều dài cơ sở: 2.850 mm
• Khoảng sáng gầm: 210 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.22 L/100 km (động cơ diesel 2.0L), 6.72 L/100 km (động cơ diesel bo-turbo 2.0L).
📷Ford Everest là mẫu D-SUV rất được yêu thích của Ford tại thị trường Việt Nam
Nhận xét ưu & nhược điểm:
Thiết kế mạnh mẽ, nam tính, khả năng vận hành mạnh mẽ và trang bị phong phú là những ưu điểm chính của Everest.
Mức giá cao cùng những lo ngại về độ bền sau sự cố “chảy nhớt turbo” chính là yếu tố khiến nhiều khách hàng băn khoăn trước khi “xuống tiền” cho mẫu xe này.
Xem thêm: Đánh giá Ford Everest 2022: SUV đa dụng đáng cân nhắc
4. Hyundai Santa Fe (1.030 – 1.340 triệu đồng)
Giá bán:
• 2.5 Xăng Tiêu chuẩn: 1.030 triệu
• 2.5 Xăng Đặc biệt: 1.190 triệu
• 2.5 Xăng Cao cấp: 1.240 triệu
• 2.2 Diesel Tiêu chuẩn: 1.130 triệu
• 2.2 Diesel Đặc biệt: 1.290 triệu
• 2.2 Diesel Cao cấp: 1.340 triệu
Thông tin sơ bộ:
• Động cơ diesel 2.2L (198 hp – 440 Nm), xăng 2.5L (177 hp – 232 Nm)
• Hộp số tự động ly hợp kép 8 cấp (động cơ diesel), hộp số tự động 6 cấp (động cơ xăng)
• Hệ dẫn động cầu trước/2 cầu toàn thời gian AWD
• Kích thước tổng thể: 4.785 x 1.900 x 1.685 mm
• Chiều dài cơ sở: 2.765 mm
• Khoảng sáng gầm xe: 185 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.73 L/100 km (động cơ diesel), 9.27 L/100 km (động cơ xăng).
📷Hyundai Santa Fe là mẫu D-SUV chủ lực của Hyundai tại thị trường Việt Nam
Nhận xét ưu & nhược điểm:
Vừa được ra mắt bản nâng cấp giữa đời (facelift) trong tháng 5, Santa Fe vẫn kế thừa những ưu điểm từ thế hệ cũ như thiết kế độc đáo, hiện đại, trang bị tiện nghi phong phú và cao cấp, khả năng vận hành mạnh mẽ và được bổ sung gói công nghệ an toàn Smartsense cao cấp.
Tuy nhiên, chính ngôn ngữ trẻ trung và phá cách trong thiết kế cũng khiến Santa Fe không được lòng một bộ phận khách hàng đứng tuổi, vốn yêu thích sự trung tính và già dặn trong thiết kế xe.
Xem thêm: Đánh giá xe Hyundai Santa Fe 2022: Khắc tinh của Toyota Fortuner
Đọc thêm:
So sánh trang bị trên Toyota Fortuner 2021 và KIA Sorento 2021
So sánh nhanh Kia Sorento 2021 và Mitsubishi Pajero Sport 2021Xem thêm tại: https://www.danhgiaxe.com/tu-van-mua-xe-suv-cac-dong-xe-gam-cao-5-cho-7-cho-gia-xe-uu-nhuoc-diem-30257
submitted by lurahousecare to u/lurahousecare [link] [comments]
Xem thêm: Đánh giá sơ bộ xe Peugeot 3008 20208. Subaru Forester (969 – 1.229 triệu đồng) Giá bán: • 2.0i-L: 1.128 triệu • 2.0i-S: 1.218 triệu • 2.0i-EyeSight: 1.288 triệu Thông tin sơ bộ: • Động cơ xăng 2.0L (156 hp – 196 Nm) • Hộp tự động vô cấp • Hệ dẫn động hai cầu toàn thời gian • Kích thước tổng thể: 4.625 x 1.815 x 1.730 mm • Chiều dài cơ sở: 2.670 mm • Khoảng sáng gầm xe: 220 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 8.51 L/100 km 📷Mẫu C-SUV Subaru ForesterNhận xét ưu & nhược điểm: Thiết kế mạnh mẽ, nam tính và khả năng vận hành độc đáo của khối động cơ Boxer là những điểm cộng trên Forester. Gói an toàn chủ động Eyesight cũng là điểm nhấn trên mẫu xe này. Tuy nhiên, yếu tố thương hiệu đi cùng giá bán tương đối cao là những rào cản của Subaru so với các đối thủ khác trong phân khúc. Xem thêm: Đánh giá sơ bộ xe Subaru Forester 20209. Honda CR-V (998 – 1.118 triệu đồng) Giá bán: 1.5 E: 998 triệu 1.5 G: 1.048 triệu 1.5 L: 1.118 triệu 1.5 LSE: 1.138 triệu Thông tin sơ bộ: • Động cơ xăng 1.5L tăng áp (188 hp – 240 Nm) • Hộp tự động vô cấp • Hệ dẫn động cầu trước • Kích thước tổng thể: 4.584 x 1.855 x 1.679 mm • Chiều dài cơ sở: 2.660 mm • Khoảng sáng gầm: 198 mm • Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.9 L/100 km 📷Honda CR-V là mẫu C-SUV nổi tiếng, đã tạo được vị thế nhất định trên thị trường xe ViệtNhận xét ưu & nhược điểm:
Thiết kế mạnh mẽ, cảm giác lái tốt và không gian rộng rãi là những ưu điểm được khách hàng đánh giá cao trên CR-V 2021. Các trang bị an toàn cao cấp trong gói Honda Sensing cũng được nhiều chuyên gia cho điểm tích cực trên mẫu SUV hạng C.
Tuy nhiên, độ ù khi vận hành cùng hàng ghế 3 chỉ ở mức "cho có" của CR-V cũng nhận nhiều đánh giá không tích cực từ khách hàng.
Xem thêm: Đánh giá Honda CR-V 2022: Xe gầm cao đáng đồng tiền bát gạo
D – SUV
1. Toyota Fortuner (995 – 1.426 triệu đồng)
Giá bán:
• Diesel 2.4 MT 4x2: 995 triệu
• Diesel 2.4 AT 4x2: 1.080 triệu
• Diesel 2.4 AT 4x2 Legender: 1.195 triệu
• Diesel 2.8 AT 4x4: 1.388 triệu
• Diesel 2.8 AT 4x4 Legenger: 1.426 triệu
• Xăng 2.7 AT 4x2: 1.130 triệu
• Xăng 2.7 AT 4x4: 1.230 triệu
Thông tin sơ bộ:
• Động cơ diesel 2.4L (147 hp – 400 Nm), 2.8L (201 hp – 500 Nm), động cơ xăng 2.7L (164 hp – 245 Nm)
• Hộp số sàn 6 cấp, số tự động 6 cấp
• Hệ dẫn động cầu sau/2 cầu bán thời gian 4WD
• Kích thước tổng thể: 4.795 x 1.855 x 1.835 mm
• Chiều dài cơ sở: 2.745 mm
• Khoảng sáng gầm xe: 279 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 8.28 L/100 km (động cơ diesel 2.4L), 8.63 L/100 km (động cơ diesel 2.8L), 10.7 L/100 km (động cơ xăng 2.7L).
📷Toyota Fortuner là một trong những mẫu xe giúp tạo dựng nên hình ảnh thương hiệu Toyota tại Việt Nam
Nhận xét ưu & nhược điểm:
Fortuner từng một thời được xem là “tượng đài” của Toyota tại thị trường Việt Nam. Thiết kế đẹp mắt, khỏe khoắn, không gian rộng rãi cùng khả năng vận hành mạnh mẽ, ổn định là những ưu điểm được khách hàng đánh giá cao trên Fortuner.
Ngược lại, cảm giác lái nhàm chán, độ ồn khoang máy và mức giá tương đối cao so với trang bị là những nhược điểm có thể kể đến trên Fortuner.
Xem thêm: Đánh giá xe Toyota Fortuner Legender 2022: Thay đổi nhẹ nhưng đúng lúc
2. Mazda CX-8 (999 – 1.259 triệu đồng)
Giá bán:
• 2.5 AT Deluxe: 999 triệu
• 2.5 AT Luxury: 1.059 triệu
• 2.5 AT Premium: 1.169 triệu
• 2.5 AT Premium AWD: 1.259 triệu
Thông tin sơ bộ:
• Động cơ xăng 2.5L (188 hp – 252 Nm)
• Hộp số tự động 6 cấp
• Hệ dẫn động cầu trước/2 cầu toàn thời gian AWD
• Kích thước tổng thể: 4.900 x 1.840 x 1.730 mm
• Chiều dài cơ sở: 2.930 mm
• Khoảng sáng gầm xe: 200 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 9.58 L/100 km.
📷Mazda CX-8 là mẫu xe có thiết kế hiện đại và đẹp mắt trong phân khúc D-SUV
Nhận xét ưu & nhược điểm:
Thiết kế đẹp mắt đặc trưng theo ngôn ngữ Kodo vẫn được Mazda duy trì trên CX-8. Bên cạnh thiết kế, trang bị phong phú và sử dụng vật liệu cao cấp cũng là những ưu điểm quan trọng trên CX-8. Cảm giác lái được nhiều chuyên gia và khách hàng đánh giá là tốt nhất trong các xe phổ thông cũng giúp CX-8 tăng thêm lợi thế cạnh tranh.
Xem thêm: Đánh giá sơ bộ Mazda CX-8 2021
3. Ford Everest (999 – 1.399 triệu đồng)
Giá bán:
• Sport 2.0 AT 4x2: 1.112 triệu
• Titanium 2.0 AT 4x2: 1.181 triệu
• Titanium 2.0 Bi-turbo AT 4WD: 1.399 triệu
Thông tin sơ bộ:
• Động cơ diesel 2.0L (178 hp – 420 Nm), diesel bi-turbo 2.0L (211 hp – 500 Nm)
• Hộp số sàn 6 cấp, số tự động 10 cấp
• Hệ dẫn động cầu sau/2 cầu toàn thời gian 4WD
• Kích thước tổng thể: 4.892 x 1.860 x 1.837 mm
• Chiều dài cơ sở: 2.850 mm
• Khoảng sáng gầm: 210 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.22 L/100 km (động cơ diesel 2.0L), 6.72 L/100 km (động cơ diesel bo-turbo 2.0L).
📷Ford Everest là mẫu D-SUV rất được yêu thích của Ford tại thị trường Việt Nam
Nhận xét ưu & nhược điểm:
Thiết kế mạnh mẽ, nam tính, khả năng vận hành mạnh mẽ và trang bị phong phú là những ưu điểm chính của Everest.
Mức giá cao cùng những lo ngại về độ bền sau sự cố “chảy nhớt turbo” chính là yếu tố khiến nhiều khách hàng băn khoăn trước khi “xuống tiền” cho mẫu xe này.
Xem thêm: Đánh giá Ford Everest 2022: SUV đa dụng đáng cân nhắc
4. Hyundai Santa Fe (1.030 – 1.340 triệu đồng)
Giá bán:
• 2.5 Xăng Tiêu chuẩn: 1.030 triệu
• 2.5 Xăng Đặc biệt: 1.190 triệu
• 2.5 Xăng Cao cấp: 1.240 triệu
• 2.2 Diesel Tiêu chuẩn: 1.130 triệu
• 2.2 Diesel Đặc biệt: 1.290 triệu
• 2.2 Diesel Cao cấp: 1.340 triệu
Thông tin sơ bộ:
• Động cơ diesel 2.2L (198 hp – 440 Nm), xăng 2.5L (177 hp – 232 Nm)
• Hộp số tự động ly hợp kép 8 cấp (động cơ diesel), hộp số tự động 6 cấp (động cơ xăng)
• Hệ dẫn động cầu trước/2 cầu toàn thời gian AWD
• Kích thước tổng thể: 4.785 x 1.900 x 1.685 mm
• Chiều dài cơ sở: 2.765 mm
• Khoảng sáng gầm xe: 185 mm
• Tiêu thụ nhiên liệu hỗn hợp theo số liệu từ Cục Đăng kiểm: 6.73 L/100 km (động cơ diesel), 9.27 L/100 km (động cơ xăng).
📷Hyundai Santa Fe là mẫu D-SUV chủ lực của Hyundai tại thị trường Việt Nam
Nhận xét ưu & nhược điểm:
Vừa được ra mắt bản nâng cấp giữa đời (facelift) trong tháng 5, Santa Fe vẫn kế thừa những ưu điểm từ thế hệ cũ như thiết kế độc đáo, hiện đại, trang bị tiện nghi phong phú và cao cấp, khả năng vận hành mạnh mẽ và được bổ sung gói công nghệ an toàn Smartsense cao cấp.
Tuy nhiên, chính ngôn ngữ trẻ trung và phá cách trong thiết kế cũng khiến Santa Fe không được lòng một bộ phận khách hàng đứng tuổi, vốn yêu thích sự trung tính và già dặn trong thiết kế xe.
Xem thêm: Đánh giá xe Hyundai Santa Fe 2022: Khắc tinh của Toyota Fortuner
Đọc thêm:
So sánh trang bị trên Toyota Fortuner 2021 và KIA Sorento 2021
So sánh nhanh Kia Sorento 2021 và Mitsubishi Pajero Sport 2021Xem thêm tại: https://www.danhgiaxe.com/tu-van-mua-xe-suv-cac-dong-xe-gam-cao-5-cho-7-cho-gia-xe-uu-nhuoc-diem-30257
2022.04.13 16:33 enterprisevalue Ontario Apr 13: 3,833 Cases, 13 Deaths, 23,618 tests (16.2% to 17.5% pos.) 🏥 ICUs: 182 (-8 vs. yest.) (+14 vs. last wk) 💉 38,191 admin, 90.04% / 86.65% / 51.66% (+0.01%, / +0.01% / 0.04%) of 5+ at least 1/2/3 dosed,
Link to report: https://files.ontario.ca/moh-covid-19-report-en-2022-04-13.pdf
Detailed tables: Google Sheets mode and some TLDR charts
Testing data: - Source
Vaccines - detailed data: Source
Schools Data:
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
Jail Data - (latest data as of April 11) Source
Main data table:
Vaccine coverage by PHU/age group - as of April 13 (% at least two/three dosed, chg. week) -
Canada comparison - Source - data as of April 12
LTCs with 5+ new cases today: Why are there 0.5 cases/deaths?
LTC Deaths today: - this section is reported by the Ministry of LTC and the data may not reconcile with the LTC data above because that is published by the MoH.
Today's deaths:
submitted by enterprisevalue to CanadaCoronavirus [link] [comments]
Detailed tables: Google Sheets mode and some TLDR charts
- Throwback Ontario April 13, 2020 update: 421 New Cases, 236 Recoveries, 17 Deaths, 5,065 tests (8.31% positive), Current ICUs: 263 (+2 vs. yesterday) (+47 vs. last week)
- Throwback Ontario April 13, 2021 update: 3670 New Cases, 2573 Recoveries, 15 Deaths, 42,167 tests (8.70% positive), Current ICUs: 626 (+7 vs. yesterday) (+116 vs. last week)
- Backlog: 8,712 (-695), 23,618 tests completed (1,673.1 per 100k in week) 22,923 swabbed
- MoH positive rate: 17.5% - differs from the cases/tests calc.
- Positive rate (Day/Week/Prev Week): 16.23% / 19.57% / 18.26% - Chart
- New cases with episode dates in last 3 days: 2,212 / 1,803 / 1,528 (+478 vs. yesterday week avg)
- New cases - episode dates in last 7 days: 3,048 / 2,831 / 2,397 (+278 vs. yesterday week avg)
- New cases - episode dates in last 30 days: 3,586 / 3,286 / 2,712 (+370 vs. yesterday week avg)
- New cases - ALL episode dates: 3,833 / 3,475 / 2,950 (+412 vs. yesterday week avg)
- 7 day average: 3,475 (+55.6 vs. yesterday) (+525 or +17.8% vs. last week), (+1,737 or +99.9% vs. 30 days ago)
- Today's Rt estimate: 1.05 - Historical
- Active cases: 32,198 (+481 vs. yesterday) (+6,639 vs. last week) - Chart
- Current hospitalizations: 1,332(-34), ICUs: 182(-8), Ventilated: 85(+3), [vs. last week: +258 / +14 / +2] - Chart
- New hospitalizations (Week/prev week avgs.): 132 (105.3 / 73.4), ICUs: 10 (6.1 / 6.9),
- Total reported cases to date: 1,204,452
- Hospitalizations / ICUs/ +veICU count by Ontario Health Region (ICUs vs. last week): North: 133/19/19(-1), Toronto: 187/16/15(-6), East: 314/57/43(+12), West: 424/50/40(+5), Central: 274/40/33(+4), Total: 1332 / 182 / 150
- Rolling case fatality rates for outbreak and non-outbreak cases
- Chart showing the 7 day average of cases per 100k by age group
- Cases and vaccinations by postal codes (first 3 letters)
- Details on post-vaccination cases
- 47.1% / 60.5% of the hospitalizations/ICU numbers are people there FOR COVID.
- Of the 13 deaths with details today, 6 were caused by COVID, 1 were contributed to by COVID and 6 were unknown
- 112 / 26 new LTC resident/HCW cases - Chart of active 70+ cases split by outbreak and non-outbreak cases
- 1 / 9 / 49 / 395 / 4441 LTC deaths in last day / week / 30 / 100 days / all-time
- Total COVID/non-COVID ICU patients: 181 / 1,538 (+19/ -36)
- Total avail ICU capacity for ALL: 624 (+17)
- Total ICU capacity: 2,343
| Metric | Not_FullVax | Not_FullVax_5+ | Full | Boosted | Unknown |
|---|---|---|---|---|---|
| Cases - today | 417 | -110 | 977 | 2,272 | 167 |
| Cases Per 100k - today | 15.40 | 15.50 | 19.77 | 31.67 | - |
| Risk vs. boosted - today | 0.49x | 0.49x | 0.49x | 1.00x | - |
| Case % less (more) risk vs. not full vax - today | - | - | -27.5% | -104.2% | - |
| Avg daily Per 100k - week | 15.72 | 16.03 | 18.21 | 29.66 | - |
| Risk vs. boosted - week | 0.49x | 0.54x | 0.49x | 1.00x | - |
| Case % less risk vs. unvax - week | - | - | -13.6% | -85.0% | - |
| Metric | Unvax_All | Unvax_5+ | Partial | Full | Unknown |
|---|---|---|---|---|---|
| ICU - count | 29 | n/a | 6 | 69 | 78 |
| ICU per mill | 13.08 | - | 12.26 | 5.70 | - |
| ICU % less risk vs. unvax | - | - | 6.2% | 56.5% | - |
| ICU risk vs. full | 2.30x | - | 2.15x | 1.00x | - |
| Non_ICU Hosp - count | 191 | n/a | 36 | 850 | - |
| Non_ICU Hosp per mill | 86.13 | - | 73.57 | 70.16 | - |
| Non_ICU Hosp % less risk vs. unvax | - | - | 14.6% | 18.5% | - |
| Non_ICU Hosp risk vs. full | 1.23x | - | 1.05x | 1.00x | - |
| Age group per 100k - day - April 13: | |||||
| 0-4yrs | 15.21 | - | 0.00 | 0.00 | - |
| 5-11yrs | 13.11 | - | 15.23 | 763.40 | - |
| 12-17yrs | 11.42 | - | 16.65 | 15.47 | - |
| 18-39yrs | 12.57 | - | 21.37 | 37.86 | - |
| 40-59yrs | 12.28 | - | 21.81 | 39.04 | - |
| 60+ | 69.79 | - | 20.08 | 22.85 | - |
- Total admin: 32,281,477 (+38,191 / +168,818 in last day/week)
- First doses admin: 12,617,821 / (+1,174 / +6,852 in last day/week)
- Second doses admin: 12,141,151 (+1,854 / +12,381 in last day/week)
- Third doses admin: 7,237,636 (+5,211 / +32,721 in last day/week)
- 85.13% / 81.91% / 48.83% of all Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.04% today) (0.05% / 0.08% / 0.22% in last week)
- 90.04% / 86.65% / 51.66% of 5+ Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.04% today) (0.05% / 0.09% / 0.23% in last week)
- 0.141% / 0.560% of the remaining 12+ unvaccinated population got vaccinated today/this week
- To date, 35,805,101 vaccines have been delivered to Ontario (last updated February 3) - Source
- There are 3,523,624 unused vaccines which will take 146.1 days to administer based on the current 7 day average of 24,117 /day
- Ontario's population is 14,822,201 as published here. Age group populations as provided by the MOH here
- Vaccine uptake report (updated weekly) incl. vaccination coverage by PHUs - link
- Based on this week's vaccination rates, 60% of 5+ Ontarians will have received boosters by December 23, 2022 at 11:47 - 254 days to go
| Age | Cases/100k | First doses | Second doses | Third doses | First Dose % (day/week) | Second Dose % (day/week) | Third Dose % (day/week) |
|---|---|---|---|---|---|---|---|
| 05-11yrs | 14.5 | 256 | 801 | 1 | 55.89% (+0.02% / +0.17%) | 34.21% (+0.07% / +0.56%) | 0.01% (+0.00% / +0.00%) |
| 12-17yrs | 21.0 | 97 | 224 | 658 | 89.97% (+0.01% / +0.07%) | 92.49% (+0.02% / +0.17%) | 14.83% (+0.07% / +0.51%) |
| 18-29yrs | 24.0 | 198 | 233 | 789 | 89.16% (+0.01% / +0.05%) | 85.71% (+0.01% / +0.05%) | 37.71% (+0.03% / +0.22%) |
| 30-39yrs | 32.9 | 174 | 166 | 675 | 90.83% (+0.01% / +0.05%) | 88.10% (+0.01% / +0.06%) | 46.43% (+0.03% / +0.23%) |
| 40-49yrs | 37.0 | 124 | 123 | 668 | 90.94% (+0.01% / +0.03%) | 88.98% (+0.01% / +0.04%) | 53.27% (+0.04% / +0.23%) |
| 50-59yrs | 27.3 | 104 | 97 | 665 | 91.08% (+0.01% / +0.03%) | 89.50% (+0.00% / +0.03%) | 62.13% (+0.03% / +0.22%) |
| 60-69yrs | 20.6 | 121 | 126 | 872 | 97.57% (+0.01% / +0.03%) | 96.12% (+0.01% / +0.03%) | 78.05% (+0.05% / +0.27%) |
| 70-79yrs | 19.5 | 78 | 64 | 581 | 100.57% (+0.01% / +0.03%) | 99.21% (+0.01% / +0.03%) | 87.81% (+0.05% / +0.25%) |
| 80+ yrs | 38.2 | 22 | 23 | 304 | 102.97% (+0.00% / +0.02%) | 100.66% (+0.00% / +0.02%) | 88.88% (+0.05% / +0.22%) |
| Unknown | 0 | -3 | -2 | 0.01% (+0.00% / +0.00%) | 0.01% (-0.00% / -0.00%) | 0.00% (-0.00% / -0.00%) | |
| Total - 18+ | 821 | 832 | 4,554 | 93.12% (+0.01% / +0.04%) | 90.90% (+0.01% / +0.04%) | 59.27% (+0.04% / +0.23%) | |
| Total - 12+ | 918 | 1,056 | 5,212 | 92.89% (+0.01% / +0.04%) | 91.02% (+0.01% / +0.05%) | 55.96% (+0.04% / +0.25%) | |
| Total - 5+ | 1,174 | 1,857 | 5,213 | 90.04% (+0.01% / +0.05%) | 86.65% (+0.01% / +0.09%) | 51.66% (+0.04% / +0.23%) |
- The median school has 13% of students/staff absent. The interquartile range is 11% to 16%
- New outbreak cases: 128
- New outbreak cases (groups with 2+): Hospital (4), Long-term care home (78), Retirement home (28), Congregate other (5), Correctional facility (6), Group home/supportive housing (7),
- 488 active cases in outbreaks (+147 vs. last week)
- Major categories with active cases (vs. last week): Long-Term Care Homes: 140(+36), Retirement Homes: 117(+41), Group Home/Supportive Housing: 101(+31), Hospitals: 75(+29), Shelter: 22(+8), Congregate other: 21(+1), Correctional Facility: 12(+1),
- Chile: 90.7, South Korea: 86.8, Spain: 86.2, China: 86.2,
- Australia: 83.0, Canada: 82.0, Argentina: 81.3, Japan: 80.1,
- Italy: 79.3, France: 77.8, Brazil: 75.8, Germany: 75.4,
- Sweden: 75.0, European Union: 73.2, United Kingdom: 72.7, Bangladesh: 69.2,
- Iran: 67.3, Israel: 66.0, United States: 65.8, Turkey: 62.3,
- India: 60.3, Indonesia: 58.5, Pakistan: 53.3, Russia: 50.1,
- South Africa: 30.1,
- Map charts showing rates of at least one dose and total doses per 100 people
- Chile: 86.1 (90.7) Italy: 64.9 (79.3) South Korea: 64.2 (86.8) Germany: 58.5 (75.4) United Kingdom: 57.2 (72.7)
- Israel: 56.8 (66.0) France: 54.6 (77.8) Spain: 52.6 (86.2) Sweden: 51.3 (75.0) Australia: 51.2 (83.0)
- European Union: 50.2 (73.2) China: 49.8 (86.2) Canada: 48.4 (82.0) Japan: 46.7 (80.1) Argentina: 43.2 (81.3)
- Turkey: 42.9 (62.3) Brazil: 39.0 (75.8) Iran: 31.3 (67.3) United States: 29.8 (65.8) Indonesia: 10.3 (58.5)
- Russia: 9.4 (50.1) Bangladesh: 6.5 (69.2) South Africa: 4.1 (30.1) Pakistan: 2.9 (53.3) India: 1.7 (60.3)
- South Korea: 2489.0 (87.71) Australia: 1393.8 (86.26) Germany: 1392.1 (75.94) France: 1371.0 (80.13)
- Italy: 726.8 (84.06) European Union: 706.5 (75.22) Israel: 489.3 (72.17) United Kingdom: 395.8 (77.62)
- Vietnam: 357.5 (n/a) Japan: 274.4 (81.59) Spain: 162.4 (88.07) Chile: 124.5 (93.13)
- Canada: 103.0 (86.6) United States: 80.6 (77.22) Brazil: 66.4 (84.96) Russia: 62.6 (54.92)
- Turkey: 62.2 (67.96) Sweden: 40.6 (76.98) Mexico: 40.5 (n/a) Iran: 25.6 (75.41)
- Argentina: 23.8 (89.84) South Africa: 14.6 (35.11) China: 12.0 (88.64) Indonesia: 4.1 (71.52)
- Egypt: 2.7 (n/a) Saudi Arabia: 2.2 (n/a) India: 0.5 (71.49) Pakistan: 0.4 (59.35)
- Ethiopia: 0.2 (n/a) Bangladesh: 0.2 (77.24) Nigeria: 0.1 (n/a)
- France: 364, Germany: 341, Chile: 322, South Korea: 295, Israel: 178,
- Canada: 164, Argentina: 141, Italy: 115, Spain: 110, Japan: 97,
- United Kingdom: 84, Australia: 73, United States: 71, South Africa: 41,
- NY: 4,995 (179.7), CA: 2,591 (45.9), TX: 2,414 (58.3), FL: 1,894 (61.7), NJ: 1,790 (141.1),
- IL: 1,757 (97.1), MA: 1,640 (166.6), CO: 1,577 (191.7), WA: 1,448 (133.1), VA: 995 (81.6),
- AZ: 977 (94.0), PA: 933 (51.0), PR: 760 (166.5), WI: 716 (86.0), CT: 626 (123.0),
- MI: 617 (43.3), OH: 547 (32.7), MD: 539 (62.4), MN: 514 (63.8), GA: 492 (32.5),
- KY: 457 (71.6), OR: 360 (59.8), RI: 340 (224.8), DC: 293 (290.9), TN: 265 (27.1),
- PR: 82.8% (0.1%), RI: 82.0% (0.2%), VT: 80.8% (0.1%), ME: 79.1% (0.2%), CT: 78.8% (0.2%),
- MA: 78.5% (0.2%), HI: 78.0% (0.1%), NY: 76.5% (0.2%), MD: 75.8% (0.8%), NJ: 75.3% (0.2%),
- DC: 73.4% (0.3%), VA: 72.8% (0.2%), WA: 72.3% (0.1%), CA: 71.5% (0.3%), NM: 70.6% (0.2%),
- CO: 70.0% (0.1%), NH: 69.8% (0.3%), OR: 69.4% (0.1%), MN: 68.9% (0.1%), DE: 68.7% (0.2%),
- IL: 68.5% (0.3%), PA: 68.0% (0.2%), FL: 66.7% (0.1%), WI: 65.3% (0.1%), UT: 64.0% (0.1%),
- NE: 63.4% (0.1%), AK: 61.9% (0.1%), IA: 61.7% (0.1%), AZ: 61.2% (0.1%), TX: 61.1% (0.2%),
- KS: 61.0% (0.1%), SD: 60.9% (0.3%), NV: 60.5% (0.1%), NC: 60.5% (0.3%), MI: 59.9% (0.1%),
- OH: 58.2% (0.1%), WV: 57.4% (0.1%), KY: 57.2% (0.1%), OK: 56.9% (0.2%), SC: 56.6% (0.1%),
- MT: 56.5% (0.1%), MO: 55.8% (0.1%), ND: 54.7% (0.0%), IN: 54.6% (0.1%), GA: 54.4% (0.1%),
- TN: 54.2% (0.1%), AR: 54.2% (0.1%), ID: 53.8% (0.1%), LA: 53.3% (0.1%), MS: 51.6% (0.1%),
- WY: 51.3% (0.1%), AL: 50.8% (0.1%),
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
| Metric | Today | 7d ago | 14d ago | 21d ago | 30d ago | Peak |
|---|---|---|---|---|---|---|
| Cases - 7-day avg | 36,208 | 55,624 | 79,819 | 86,228 | 63,457 | 183,084 |
| Hosp. - current | 19,770 | 20,469 | 19,513 | 16,878 | 13,016 | 39,256 |
| Vent. - current | 385 | 364 | 365 | 316 | 257 | 4,077 |
| England weekly cases/100k by age: | ||||||
| <60 | 406.7 | 712.1 | 904.0 | 858.9 | 532.7 | 2520.8 |
| 60+ | 529.4 | 723.1 | 818.8 | 710.6 | 412.8 | 1192.5 |
- Total inmate cases in last day/week: 8/91
- Total inmate tests completed in last day/week (refused test in last day/week): 255/1435 (99/300)
- Jails with 2+ cases yesterday: Kenora Jail: 3, Central East Correctional Centre: 2,
| Age Group | Outbreak | CFR % | Deaths | Non-outbreak | CFR% | Deaths |
|---|---|---|---|---|---|---|
| 19 & under | 0.00% | 0 | 0.02% | 2 | ||
| 20s | 0.22% | 1 | 0.02% | 2 | ||
| 30s | 0.00% | 0 | 0.07% | 7 | ||
| 40s | 0.23% | 1 | 0.06% | 6 | ||
| 50s | 0.19% | 1 | 0.13% | 10 | ||
| 60s | 1.42% | 6 | 0.95% | 38 | ||
| 70s | 4.03% | 19 | 3.06% | 66 | ||
| 80s | 4.75% | 40 | 6.17% | 68 | ||
| 90+ | 2.30% | 15 | 16.73% | 46 |
| PHU | Today | Averages | Last 7 | Prev 7 | Totals per 100k | Last 7/100k | Prev 7/100k | Active/100k | Ages (day %)->> | <20 | 20-29 | 30-49 | 50-69 | 70+ | Source (day %)->> | Close contact | Community | Outbreak | Travel |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 3833 | 3475.9 | 2950.1 | 163.7 | 138.9 | 216.6 | 12.2 | 15.3 | 35.6 | 24.1 | 12.7 | 22.5 | 66.9 | 9.7 | 0.9 | ||||
| Toronto PHU | 892 | 766.1 | 686.3 | 171.9 | 154.0 | 199.4 | 10.1 | 20.2 | 36.9 | 22.9 | 10.1 | 10.0 | 85.9 | 3.9 | 0.2 | ||||
| Simcoe-Muskoka | 234 | 202.7 | 169.3 | 236.7 | 197.6 | 317.2 | 9.8 | 15.8 | 44.0 | 21.4 | 9.0 | 13.7 | 77.8 | 8.5 | 0.0 | ||||
| Hamilton | 222 | 183.0 | 144.4 | 216.3 | 170.7 | 328.8 | 10.8 | 16.7 | 35.6 | 25.2 | 11.7 | 6.8 | 81.5 | 11.7 | 0.0 | ||||
| York | 199 | 204.6 | 159.0 | 116.8 | 90.8 | 104.8 | 22.6 | 11.6 | 30.7 | 24.6 | 10.6 | 22.6 | 71.9 | 5.5 | 0.0 | ||||
| Ottawa | 194 | 183.7 | 170.6 | 121.9 | 113.2 | 181.0 | 11.9 | 13.9 | 28.9 | 25.8 | 19.6 | 27.3 | 51.0 | 21.1 | 0.5 | ||||
| Durham | 193 | 163.4 | 132.1 | 160.5 | 129.8 | 224.7 | 14.0 | 11.9 | 34.2 | 34.2 | 5.7 | 41.5 | 54.4 | 3.1 | 1.0 | ||||
| Peel | 166 | 185.1 | 187.0 | 80.7 | 81.5 | 112.4 | 13.9 | 13.3 | 41.6 | 22.3 | 9.0 | 22.3 | 69.3 | 5.4 | 3.0 | ||||
| Niagara | 166 | 137.9 | 84.4 | 204.2 | 125.1 | 265.4 | 15.7 | 16.3 | 32.5 | 25.9 | 9.6 | 14.5 | 78.3 | 6.6 | 0.6 | ||||
| Kingston | 158 | 134.9 | 108.9 | 443.8 | 358.3 | 683.1 | 19.6 | 10.1 | 38.6 | 24.7 | 7.0 | 55.1 | 32.9 | 6.3 | 5.7 | ||||
| Halton | 146 | 114.0 | 98.1 | 128.9 | 111.0 | 179.1 | 10.3 | 12.3 | 43.8 | 20.5 | 13.0 | 15.1 | 78.8 | 6.2 | 0.0 | ||||
| London | 105 | 102.1 | 98.9 | 140.9 | 136.3 | 215.4 | 3.8 | 18.1 | 50.5 | 21.0 | 6.7 | 21.9 | 73.3 | 4.8 | 0.0 | ||||
| Hastings | 97 | 66.4 | 61.1 | 275.9 | 254.0 | 475.3 | 11.3 | 9.3 | 42.3 | 29.9 | 7.2 | 15.5 | 66.0 | 16.5 | 2.1 | ||||
| Waterloo Region | 97 | 116.3 | 91.4 | 139.3 | 109.5 | 198.0 | 10.3 | 26.8 | 36.1 | 15.5 | 11.3 | 23.7 | 70.1 | 5.2 | 1.0 | ||||
| Windsor | 95 | 118.3 | 99.4 | 194.9 | 163.8 | 196.8 | 15.8 | 15.8 | 31.6 | 22.1 | 14.7 | 55.8 | 35.8 | 3.2 | 5.3 | ||||
| Sudbury | 84 | 60.1 | 51.7 | 211.5 | 181.8 | 315.0 | 6.0 | 13.1 | 32.1 | 29.8 | 19.0 | 72.6 | 25.0 | 2.4 | 0.0 | ||||
| Wellington-Guelph | 81 | 71.6 | 61.0 | 160.6 | 136.9 | 245.3 | 13.6 | 12.3 | 35.8 | 19.8 | 18.5 | 11.1 | 76.5 | 12.3 | 0.0 | ||||
| Eastern Ontario | 65 | 47.3 | 37.7 | 158.6 | 126.5 | 219.5 | 9.2 | 18.5 | 33.8 | 21.5 | 16.9 | 23.1 | 69.2 | 6.2 | 1.5 | ||||
| Algoma | 64 | 48.9 | 51.1 | 298.9 | 312.9 | 529.7 | 10.9 | 9.4 | 35.9 | 31.2 | 12.5 | 34.4 | 56.2 | 9.4 | 0.0 | ||||
| Thunder Bay | 63 | 31.9 | 26.0 | 148.7 | 121.4 | 223.4 | 25.4 | 17.5 | 31.7 | 14.3 | 11.1 | 22.2 | 69.8 | 4.8 | 3.2 | ||||
| Leeds, Grenville, Lanark | 58 | 44.7 | 35.1 | 180.7 | 142.1 | 265.6 | 8.6 | 6.9 | 34.5 | 32.8 | 17.2 | 15.5 | 75.9 | 8.6 | 0.0 | ||||
| Grey Bruce | 46 | 57.3 | 45.1 | 236.0 | 186.0 | 258.4 | 6.5 | 15.2 | 15.2 | 28.3 | 34.8 | 17.4 | 37.0 | 45.7 | 0.0 | ||||
| Haliburton, Kawartha | 45 | 45.4 | 26.1 | 168.3 | 96.8 | 225.5 | 4.4 | 20.0 | 26.7 | 17.8 | 31.1 | 24.4 | 11.1 | 62.2 | 2.2 | ||||
| Northwestern | 42 | 40.9 | 42.0 | 326.3 | 335.4 | 519.1 | 31.0 | 2.4 | 26.2 | 26.2 | 7.1 | 54.8 | 38.1 | 4.8 | 2.4 | ||||
| Huron Perth | 41 | 30.3 | 22.9 | 151.7 | 114.5 | 197.5 | 17.1 | 7.3 | 22.0 | 12.2 | 41.5 | 24.4 | 36.6 | 39.0 | 0.0 | ||||
| North Bay | 40 | 28.4 | 32.3 | 153.3 | 174.1 | 211.9 | 10.0 | 12.5 | 22.5 | 30.0 | 25.0 | 25.0 | 42.5 | 32.5 | 0.0 | ||||
| Southwestern | 37 | 50.3 | 37.1 | 166.4 | 122.9 | 203.3 | 8.1 | 21.6 | 32.4 | 18.9 | 18.9 | 45.9 | 29.7 | 21.6 | 2.7 | ||||
| Peterborough | 34 | 35.0 | 22.1 | 165.5 | 104.7 | 218.3 | 8.8 | 8.8 | 52.9 | 8.8 | 20.6 | 17.6 | 70.6 | 11.8 | 0.0 | ||||
| Timiskaming | 32 | 15.6 | 11.4 | 333.4 | 244.7 | 556.7 | 12.5 | 9.4 | 9.4 | 37.5 | 31.2 | 9.4 | 68.8 | 21.9 | 0.0 | ||||
| Renfrew | 28 | 23.4 | 18.3 | 151.0 | 117.8 | 152.8 | 10.7 | 7.1 | 35.7 | 35.7 | 10.7 | 42.9 | 42.9 | 14.3 | 0.0 | ||||
| Brant | 27 | 40.0 | 31.3 | 180.4 | 141.1 | 270.6 | 14.8 | 14.8 | 40.7 | 22.2 | 7.4 | 40.7 | 55.6 | 3.7 | 0.0 | ||||
| Chatham-Kent | 26 | 33.3 | 19.4 | 219.1 | 127.9 | 243.6 | 7.7 | 0.0 | 23.1 | 15.4 | 53.8 | 34.6 | 0.0 | 65.4 | 0.0 | ||||
| Haldimand-Norfolk | 23 | 31.9 | 28.9 | 195.5 | 177.1 | 248.1 | 0.0 | 21.7 | 34.8 | 26.1 | 17.4 | 13.0 | 60.9 | 26.1 | 0.0 | ||||
| Porcupine | 20 | 23.6 | 28.3 | 197.7 | 237.2 | 381.0 | 20.0 | 20.0 | 20.0 | 25.0 | 15.0 | 25.0 | 60.0 | 15.0 | 0.0 | ||||
| Lambton | 13 | 37.6 | 31.1 | 200.8 | 166.5 | 242.8 | 0.0 | 0.0 | 15.4 | 69.2 | 15.4 | 61.5 | 0.0 | 30.8 | 7.7 | ||||
| Regions of Zeroes | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| PHU name | 5+ population | 12+ | 05-11yrs | 12-17yrs | 18-29yrs | 30-39yrs | 40-49yrs | 50-59yrs | 60-69yrs | 70-79yrs | 80+ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Leeds, Grenville, Lanark | 91.8%/62.2% (+0.0%/+0.2%) | 95.6%/66.7% (+0.0%/+0.2%) | 39.4%/0.0% (+0.5%/+0.0%) | 91.9%/13.5% (+0.1%/+0.7%) | 84.0%/39.9% (+0.1%/+0.2%) | 98.0%/52.8% (+0.0%/+0.2%) | 90.6%/57.8% (+0.0%/+0.2%) | 88.1%/65.6% (+0.0%/+0.2%) | 100.0%/88.0% (+0.0%/+0.2%) | 100.0%/98.7% (+0.0%/+0.1%) | 100.0%/100.0% (+0.0%/+0.0%) | |
| Northwestern | 90.5%/53.1% (+0.1%/+0.2%) | 96.8%/58.8% (+0.1%/+0.3%) | 32.0%/0.0% (+0.7%/+0.0%) | 96.9%/17.3% (+0.3%/+0.5%) | 95.5%/41.0% (+0.1%/+0.2%) | 99.3%/51.9% (+0.1%/+0.3%) | 96.4%/58.5% (+0.1%/+0.3%) | 91.6%/63.6% (+0.1%/+0.2%) | 98.0%/79.2% (+0.0%/+0.3%) | 100.0%/88.2% (+0.0%/+0.2%) | 99.7%/86.9% (+0.1%/+0.1%) | |
| Kingston | 90.2%/61.6% (+0.1%/+0.2%) | 93.3%/66.1% (+0.1%/+0.2%) | 48.0%/0.0% (+0.4%/+0.0%) | 100.0%/19.4% (+0.0%/+1.3%) | 87.4%/47.1% (+0.1%/+0.2%) | 89.1%/55.9% (+0.0%/+0.1%) | 90.4%/63.5% (+0.0%/+0.2%) | 88.9%/69.8% (+0.0%/+0.1%) | 99.5%/87.7% (+0.1%/+0.2%) | 100.0%/92.7% (+0.0%/+0.2%) | 100.0%/93.8% (+0.0%/+0.2%) | |
| City Of Ottawa | 89.9%/58.1% (+0.1%/+0.3%) | 93.6%/63.1% (+0.0%/+0.3%) | 46.7%/0.0% (+0.6%/+0.0%) | 100.0%/24.0% (+0.0%/+0.8%) | 84.8%/43.8% (+0.0%/+0.3%) | 90.1%/54.8% (+0.0%/+0.2%) | 93.7%/64.2% (+0.0%/+0.2%) | 93.7%/72.9% (+0.0%/+0.2%) | 97.7%/84.5% (+0.0%/+0.3%) | 100.0%/92.6% (+0.0%/+0.2%) | 100.0%/95.2% (+0.0%/+0.2%) | |
| London | 89.2%/52.3% (+0.0%/+0.2%) | 93.7%/56.9% (+0.0%/+0.2%) | 38.0%/0.0% (+0.3%/+0.0%) | 100.0%/13.3% (+0.0%/+0.4%) | 91.4%/38.8% (+0.0%/+0.2%) | 90.3%/47.0% (+0.0%/+0.1%) | 92.2%/55.1% (+0.0%/+0.2%) | 88.3%/62.8% (-0.0%/+0.2%) | 96.1%/79.6% (-0.0%/+0.2%) | 100.0%/91.8% (+0.0%/+0.2%) | 100.0%/94.4% (+0.0%/+0.2%) | |
| Halton | 89.1%/54.6% (+0.1%/+0.2%) | 93.8%/60.1% (+0.0%/+0.2%) | 42.6%/0.0% (+0.5%/+0.0%) | 100.0%/19.5% (+0.0%/+0.5%) | 84.3%/44.0% (+0.0%/+0.2%) | 93.2%/52.3% (+0.1%/+0.2%) | 91.8%/58.4% (+0.0%/+0.2%) | 93.3%/69.4% (+0.0%/+0.2%) | 96.5%/80.9% (+0.1%/+0.3%) | 99.8%/89.6% (+0.0%/+0.2%) | 100.0%/96.5% (+0.0%/+0.2%) | |
| Durham | 88.0%/50.8% (+0.1%/+0.2%) | 92.8%/55.8% (+0.0%/+0.2%) | 38.5%/0.0% (+0.6%/+0.0%) | 96.2%/14.6% (+0.2%/+0.5%) | 84.0%/37.4% (+0.0%/+0.2%) | 93.6%/46.5% (+0.1%/+0.2%) | 91.6%/53.9% (+0.0%/+0.2%) | 90.1%/62.6% (+0.0%/+0.2%) | 97.0%/79.4% (+0.0%/+0.3%) | 100.0%/90.2% (+0.0%/+0.3%) | 100.0%/95.0% (+0.0%/+0.2%) | |
| Toronto PHU | 87.4%/52.8% (+0.1%/+0.3%) | 90.9%/56.4% (+0.1%/+0.3%) | 37.1%/0.0% (+0.7%/+0.0%) | 93.9%/19.2% (+0.2%/+0.6%) | 87.3%/40.0% (+0.1%/+0.3%) | 86.0%/50.0% (+0.1%/+0.3%) | 88.9%/56.4% (+0.0%/+0.3%) | 93.3%/64.5% (+0.0%/+0.3%) | 97.9%/77.5% (+0.0%/+0.4%) | 98.6%/84.9% (+0.1%/+0.4%) | 93.0%/80.1% (+0.1%/+0.3%) | |
| Waterloo Region | 86.9%/51.4% (+0.1%/+0.2%) | 91.5%/56.1% (+0.0%/+0.2%) | 35.6%/0.0% (+0.5%/+0.0%) | 93.4%/14.4% (+0.1%/+0.6%) | 88.9%/41.3% (+0.0%/+0.2%) | 90.4%/49.9% (+0.0%/+0.2%) | 89.0%/55.6% (+0.0%/+0.2%) | 88.8%/63.4% (+0.0%/+0.1%) | 94.1%/77.7% (+0.0%/+0.2%) | 98.8%/89.0% (+0.0%/+0.1%) | 100.0%/93.9% (+0.0%/+0.2%) | |
| Peel | 86.7%/43.2% (+0.1%/+0.3%) | 92.2%/47.1% (+0.1%/+0.3%) | 25.2%/0.0% (+0.7%/+0.0%) | 89.9%/11.6% (+0.2%/+0.5%) | 95.1%/33.0% (+0.1%/+0.2%) | 86.6%/37.7% (+0.1%/+0.3%) | 88.2%/45.3% (+0.0%/+0.3%) | 92.3%/57.9% (+0.0%/+0.3%) | 96.1%/71.2% (+0.0%/+0.4%) | 97.2%/78.7% (+0.0%/+0.4%) | 99.0%/81.4% (+0.0%/+0.4%) | |
| York | 86.6%/52.0% (+0.1%/+0.3%) | 91.0%/56.7% (+0.0%/+0.3%) | 35.9%/0.0% (+0.6%/+0.0%) | 96.7%/17.0% (+0.2%/+0.6%) | 84.2%/43.5% (+0.0%/+0.3%) | 89.1%/49.4% (+0.0%/+0.3%) | 90.8%/55.0% (+0.0%/+0.2%) | 89.9%/62.4% (+0.0%/+0.3%) | 93.2%/74.9% (+0.0%/+0.3%) | 97.2%/84.0% (-0.0%/+0.2%) | 100.0%/87.2% (+0.0%/+0.2%) | |
| Wellington-Guelph | 86.5%/53.4% (+0.1%/+0.2%) | 90.9%/58.4% (+0.0%/+0.2%) | 39.7%/0.0% (+0.4%/+0.0%) | 92.1%/15.9% (+0.1%/+0.6%) | 82.2%/39.3% (+0.1%/+0.2%) | 89.1%/48.1% (+0.1%/+0.1%) | 87.8%/55.3% (+0.0%/+0.2%) | 89.2%/64.5% (+0.0%/+0.1%) | 97.0%/81.8% (+0.0%/+0.2%) | 100.0%/93.8% (+0.0%/+0.2%) | 100.0%/99.9% (+0.0%/+0.1%) | |
| Thunder Bay | 85.8%/52.9% (+0.1%/+0.2%) | 90.1%/57.3% (+0.0%/+0.2%) | 33.1%/0.0% (+0.5%/+0.0%) | 89.9%/12.2% (+0.1%/+0.5%) | 81.1%/34.6% (+0.0%/+0.2%) | 90.3%/46.8% (+0.1%/+0.2%) | 87.9%/52.7% (+0.0%/+0.2%) | 87.7%/61.6% (+0.0%/+0.2%) | 93.8%/77.5% (+0.0%/+0.2%) | 100.0%/92.5% (+0.0%/+0.3%) | 100.0%/92.2% (+0.0%/+0.1%) | |
| Sudbury | 85.4%/51.7% (+0.1%/+0.2%) | 89.9%/55.8% (+0.0%/+0.2%) | 30.0%/0.0% (+0.6%/+0.0%) | 90.2%/10.4% (+0.2%/+0.4%) | 80.9%/32.4% (+0.0%/+0.2%) | 85.5%/40.8% (+0.0%/+0.1%) | 87.1%/49.9% (+0.0%/+0.1%) | 87.0%/59.8% (+0.0%/+0.1%) | 96.8%/80.0% (+0.0%/+0.2%) | 100.0%/91.6% (+0.0%/+0.2%) | 100.0%/91.4% (+0.0%/+0.2%) | |
| Peterborough | 85.3%/56.1% (+0.1%/+0.2%) | 89.2%/60.4% (+0.0%/+0.2%) | 34.2%/0.0% (+0.6%/+0.0%) | 89.1%/15.1% (+0.1%/+0.6%) | 76.6%/36.9% (+0.1%/+0.2%) | 89.0%/48.7% (+0.0%/+0.2%) | 87.3%/54.8% (+0.0%/+0.1%) | 82.1%/59.8% (+0.0%/+0.2%) | 95.2%/79.4% (+0.0%/+0.2%) | 100.0%/92.1% (+0.0%/+0.2%) | 100.0%/93.9% (+0.0%/+0.2%) | |
| Algoma | 85.2%/54.8% (+0.1%/+0.1%) | 88.9%/59.0% (+0.0%/+0.1%) | 35.8%/0.0% (+0.4%/+0.0%) | 88.9%/10.8% (+0.2%/+0.3%) | 77.7%/33.9% (+0.0%/+0.1%) | 88.1%/45.2% (+0.0%/+0.1%) | 86.9%/51.1% (+0.0%/+0.1%) | 83.6%/57.9% (+0.0%/+0.1%) | 95.3%/79.5% (+0.0%/+0.2%) | 97.7%/88.8% (+0.0%/+0.1%) | 98.3%/89.2% (-0.0%/+0.1%) | |
| Niagara | 84.9%/51.7% (+0.1%/+0.2%) | 89.1%/55.6% (+0.1%/+0.3%) | 30.3%/0.0% (+0.6%/+0.0%) | 86.0%/11.3% (+0.2%/+0.4%) | 79.6%/32.9% (+0.1%/+0.2%) | 89.8%/42.5% (+0.1%/+0.2%) | 87.0%/49.2% (+0.0%/+0.2%) | 85.6%/57.0% (+0.0%/+0.2%) | 94.9%/76.8% (+0.0%/+0.3%) | 97.6%/88.1% (+0.0%/+0.3%) | 100.0%/90.7% (+0.0%/+0.2%) | |
| City Of Hamilton | 84.9%/49.9% (+0.1%/+0.2%) | 89.3%/54.1% (+0.0%/+0.2%) | 31.4%/0.0% (+0.5%/+0.0%) | 89.2%/11.3% (+0.2%/+0.4%) | 84.7%/36.8% (+0.1%/+0.2%) | 87.1%/45.6% (+0.1%/+0.2%) | 87.4%/50.5% (+0.0%/+0.2%) | 87.5%/59.5% (+0.0%/+0.2%) | 93.6%/75.2% (+0.0%/+0.2%) | 97.5%/85.8% (+0.0%/+0.2%) | 99.0%/86.4% (+0.0%/+0.2%) | |
| Windsor | 84.6%/47.5% (+0.1%/+0.1%) | 89.5%/51.5% (+0.1%/+0.2%) | 26.7%/0.0% (+0.4%/+0.0%) | 86.3%/8.9% (+0.2%/+0.2%) | 79.9%/32.0% (+0.1%/+0.1%) | 92.6%/40.5% (+0.1%/+0.2%) | 88.6%/46.2% (+0.0%/+0.2%) | 89.0%/58.3% (+0.0%/+0.1%) | 94.3%/75.5% (+0.0%/+0.1%) | 98.4%/86.2% (+0.0%/+0.1%) | 99.2%/86.1% (+0.0%/+0.1%) | |
| Eastern Ontario | 84.5%/51.8% (+0.1%/+0.2%) | 89.4%/56.4% (+0.0%/+0.2%) | 28.7%/0.0% (+0.6%/+0.0%) | 87.8%/9.6% (+0.2%/+0.4%) | 78.6%/30.9% (+0.1%/+0.2%) | 87.7%/41.5% (+0.0%/+0.1%) | 86.4%/48.6% (+0.0%/+0.2%) | 85.2%/58.3% (+0.0%/+0.2%) | 96.6%/80.3% (+0.0%/+0.3%) | 99.9%/90.1% (+0.0%/+0.3%) | 100.0%/92.8% (+0.0%/+0.3%) | |
| Haliburton, Kawartha | 84.1%/54.9% (+0.0%/+0.1%) | 87.8%/58.5% (+0.0%/+0.1%) | 26.4%/0.0% (+0.5%/+0.0%) | 81.4%/7.9% (+0.1%/+0.2%) | 78.1%/31.9% (+0.0%/+0.1%) | 88.1%/40.6% (+0.0%/+0.1%) | 84.0%/47.2% (+0.0%/+0.1%) | 81.3%/55.1% (+0.0%/+0.1%) | 93.3%/77.4% (+0.0%/+0.1%) | 95.8%/87.2% (+0.0%/+0.1%) | 100.0%/90.7% (+0.0%/+0.0%) | |
| Brant County | 84.1%/48.1% (+0.0%/+0.2%) | 89.5%/52.8% (+0.0%/+0.2%) | 28.5%/0.0% (+0.4%/+0.0%) | 83.7%/10.4% (+0.1%/+0.4%) | 81.3%/30.9% (+0.0%/+0.1%) | 85.3%/38.9% (-0.0%/+0.2%) | 88.2%/47.5% (+0.0%/+0.2%) | 87.5%/58.5% (-0.0%/+0.1%) | 95.3%/76.8% (+0.0%/+0.2%) | 100.0%/93.0% (+0.0%/+0.2%) | 100.0%/95.5% (+0.0%/+0.2%) | |
| Simcoe-Muskoka | 83.9%/50.2% (+0.1%/+0.2%) | 88.5%/54.3% (+0.0%/+0.2%) | 29.0%/0.0% (+0.5%/+0.0%) | 87.7%/11.3% (+0.1%/+0.3%) | 79.1%/31.7% (+0.0%/+0.2%) | 86.3%/39.5% (+0.0%/+0.1%) | 85.0%/47.9% (+0.0%/+0.2%) | 84.5%/58.5% (+0.0%/+0.2%) | 96.5%/78.7% (+0.0%/+0.2%) | 97.8%/87.5% (+0.0%/+0.2%) | 100.0%/94.4% (+0.0%/+0.2%) | |
| North Bay | 83.2%/52.9% (+0.1%/+0.2%) | 87.3%/56.9% (+0.1%/+0.2%) | 26.9%/0.0% (+0.5%/+0.0%) | 84.2%/10.9% (+0.2%/+0.6%) | 74.8%/31.4% (+0.1%/+0.1%) | 84.0%/40.8% (+0.1%/+0.1%) | 83.5%/48.5% (+0.1%/+0.1%) | 82.5%/56.5% (+0.1%/+0.1%) | 95.8%/78.7% (+0.0%/+0.2%) | 97.5%/87.2% (+0.0%/+0.2%) | 100.0%/92.5% (+0.0%/+0.1%) | |
| Porcupine | 83.1%/45.8% (+0.1%/+0.1%) | 88.8%/50.2% (+0.0%/+0.1%) | 24.5%/0.0% (+0.5%/+0.0%) | 87.5%/7.5% (+0.2%/+0.2%) | 79.4%/26.8% (+0.0%/+0.1%) | 85.0%/34.7% (+0.1%/+0.1%) | 86.4%/43.7% (+0.0%/+0.2%) | 87.9%/56.9% (+0.0%/+0.1%) | 95.8%/76.3% (+0.0%/+0.1%) | 99.8%/87.5% (-0.0%/+0.1%) | 100.0%/89.1% (+0.0%/+0.1%) | |
| Huron Perth | 82.9%/53.9% (+0.1%/+0.1%) | 88.1%/59.0% (+0.0%/+0.1%) | 26.8%/0.0% (+0.3%/+0.0%) | 79.7%/8.6% (+0.2%/+0.2%) | 75.2%/33.1% (+0.0%/+0.1%) | 82.6%/43.0% (+0.0%/+0.1%) | 82.1%/49.8% (+0.0%/+0.1%) | 83.0%/60.0% (-0.0%/+0.2%) | 98.7%/84.8% (+0.0%/+0.1%) | 100.0%/99.3% (+0.0%/+0.2%) | 100.0%/99.0% (+0.0%/+0.1%) | |
| Hastings | 82.7%/54.1% (+0.0%/+0.1%) | 86.8%/58.3% (+0.0%/+0.1%) | 29.9%/0.0% (+0.3%/+0.0%) | 86.2%/12.0% (+0.1%/+0.4%) | 74.4%/32.2% (+0.0%/+0.2%) | 78.4%/41.2% (+0.0%/+0.1%) | 81.9%/49.7% (+0.0%/+0.1%) | 82.0%/58.2% (+0.0%/+0.1%) | 97.1%/81.5% (+0.0%/+0.2%) | 98.9%/89.7% (+0.0%/+0.1%) | 100.0%/93.4% (+0.0%/+0.1%) | |
| Timiskaming | 82.2%/51.1% (+0.0%/+0.2%) | 86.7%/55.4% (+0.0%/+0.2%) | 28.1%/0.0% (+0.4%/+0.0%) | 85.7%/11.4% (+0.2%/+0.7%) | 77.4%/31.3% (+0.0%/+0.2%) | 80.8%/38.2% (+0.1%/+0.3%) | 84.2%/47.7% (+0.0%/+0.1%) | 81.7%/56.9% (+0.0%/+0.1%) | 92.4%/74.5% (-0.0%/+0.2%) | 99.2%/88.9% (+0.0%/+0.1%) | 100.0%/86.2% (+0.0%/+0.2%) | |
| Chatham-Kent | 82.0%/49.7% (+0.1%/+0.1%) | 87.0%/54.0% (+0.0%/+0.1%) | 23.4%/0.0% (+0.5%/+0.0%) | 77.2%/8.1% (+0.1%/+0.3%) | 75.6%/30.4% (+0.0%/+0.2%) | 81.0%/35.6% (+0.0%/+0.1%) | 84.7%/43.8% (+0.0%/+0.1%) | 83.7%/54.3% (+0.0%/+0.1%) | 96.4%/78.7% (+0.0%/+0.2%) | 100.0%/90.3% (+0.0%/+0.1%) | 100.0%/90.3% (+0.0%/+0.1%) | |
| Southwestern | 81.6%/48.4% (+0.2%/+0.2%) | 86.7%/53.1% (+0.2%/+0.3%) | 29.6%/0.0% (+0.2%/+0.0%) | 80.1%/8.3% (+0.2%/+0.2%) | 74.7%/29.0% (+0.2%/+0.2%) | 84.4%/38.5% (+0.2%/+0.2%) | 83.8%/45.5% (+0.1%/+0.2%) | 84.7%/57.8% (+0.1%/+0.2%) | 95.6%/79.6% (+0.2%/+0.4%) | 100.0%/91.7% (+0.1%/+0.3%) | 100.0%/94.3% (+0.0%/+0.3%) | |
| Lambton | 80.5%/50.0% (+0.1%/+0.1%) | 84.9%/54.1% (+0.0%/+0.1%) | 27.9%/0.0% (+0.5%/+0.0%) | 82.5%/7.1% (+0.1%/+0.2%) | 74.8%/30.6% (+0.0%/+0.2%) | 84.1%/40.3% (+0.1%/+0.1%) | 83.4%/47.1% (+0.0%/+0.1%) | 80.6%/54.1% (+0.0%/+0.1%) | 88.9%/73.5% (+0.0%/+0.1%) | 96.2%/89.9% (+0.0%/+0.2%) | 96.4%/88.5% (+0.0%/+0.1%) | |
| Renfrew | 80.4%/50.7% (+0.0%/+0.2%) | 85.2%/55.1% (+0.0%/+0.2%) | 25.3%/0.0% (+0.2%/+0.0%) | 84.4%/11.6% (+0.1%/+0.8%) | 74.4%/30.8% (+0.1%/+0.2%) | 70.7%/35.0% (+0.0%/+0.1%) | 78.4%/45.3% (+0.0%/+0.1%) | 83.9%/56.9% (+0.0%/+0.2%) | 98.3%/80.2% (+0.0%/+0.3%) | 99.7%/89.4% (+0.0%/+0.1%) | 100.0%/91.1% (+0.0%/+0.2%) | |
| Grey Bruce | 79.7%/52.8% (+0.0%/+0.1%) | 84.4%/57.3% (+0.0%/+0.1%) | 23.6%/0.0% (+0.4%/+0.0%) | 78.3%/7.8% (+0.1%/+0.2%) | 71.6%/32.0% (+0.0%/+0.1%) | 81.0%/43.2% (+0.0%/+0.1%) | 84.2%/50.8% (+0.0%/+0.1%) | 79.2%/56.3% (+0.0%/+0.1%) | 91.6%/77.0% (+0.0%/+0.2%) | 96.2%/88.4% (+0.0%/+0.2%) | 94.0%/84.8% (-0.0%/+0.1%) | |
| Haldimand-Norfolk | 79.2%/46.7% (+0.0%/+0.2%) | 84.0%/50.7% (+0.0%/+0.2%) | 23.1%/0.0% (+0.4%/+0.0%) | 70.7%/6.7% (+0.1%/+0.2%) | 68.1%/24.0% (+0.0%/+0.2%) | 82.1%/31.3% (+0.0%/+0.4%) | 82.7%/39.4% (+0.0%/+0.5%) | 81.3%/50.4% (+0.0%/+0.2%) | 92.2%/74.2% (+0.0%/+0.2%) | 98.9%/91.5% (-0.0%/+0.1%) | 100.0%/94.5% (+0.0%/+0.1%) |
| Province | Yesterday | Averages->> | Last 7 | Prev 7 | Per 100k->> | Last 7/100k | Prev 7/100k | Positive % - last 7 | Vaccines->> | Vax(day) | To date (per 100) | Weekly vax update->> | % with 1+ | % with both |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Canada | 7,132 | 7731.7 | 9406.6 | 141.5 | 172.2 | 15.8 | 78,264 | 215.6 | 84.76 | 81.4 | ||||
| Ontario | 2,300 | 3420.3 | 2860.1 | 161.5 | 135.0 | 19.5 | 38,191 | 217.7 | 84.47 | 81.3 | ||||
| Quebec | 2,596 | 3136.0 | 2879.4 | 255.1 | 234.2 | 16.6 | 40,073 | 220.4 | 85.73 | 83.0 | ||||
| New Brunswick | N/R | 565.4 | 522.4 | 501.5 | 463.4 | 40.1 | 0 | 220.5 | 88.4 | 83.3 | ||||
| Prince Edward Island | 2,229 | 318.4 | 368.0 | 1356.5 | 1567.7 | 538.4 | 0 | 227.9 | 91.03 | 87.1 | ||||
| Newfoundland | N/R | 227.1 | 319.4 | 305.4 | 429.6 | 26.1 | 0 | 241.4 | 95.8 | 91.8 | ||||
| British Columbia | N/R | 30.9 | 260.4 | 4.1 | 35.0 | 0.7 | 0 | 220.6 | 86.43 | 82.9 | ||||
| Northwest Territories | N/R | 18.9 | 46.4 | 290.1 | 714.2 | 96.4 | 0 | 220.1 | 80.17 | 76.7 | ||||
| Yukon | 7 | 14.7 | 13.9 | 239.6 | 225.7 | inf | 0 | 213.2 | 83.91 | 80.6 | ||||
| Nova Scotia | N/R | 0.0 | 998.7 | 0.0 | 704.7 | 0.0 | 0 | 223.5 | 90.62 | 85.8 | ||||
| Saskatchewan | N/R | 0.0 | 147.4 | 0.0 | 87.5 | 0.0 | 0 | 202.7 | 80.81 | 76.5 | ||||
| Alberta | N/R | 0.0 | 787.7 | 0.0 | 124.1 | 0.0 | 0 | 193.6 | 79.93 | 75.9 | ||||
| Nunavut | N/R | 0.0 | 8.4 | 0.0 | 149.7 | nan | 0 | 195.6 | 83.27 | 72.1 | ||||
| Manitoba | N/R | 0.0 | 194.1 | 0.0 | 98.2 | 0.0 | 0 | 206.9 | 83.37 | 80.0 |
| LTC_Home | City | Beds | New LTC cases | Current Active Cases |
|---|---|---|---|---|
| Cedarwood Village | Simcoe | 90 | 39.5 | 37.0 |
| Millennium Trail Manor | Niagara Falls | 160 | 13.0 | 13.0 |
| Strathmere Lodge | Strathroy | 160 | 12.5 | 21.0 |
| Extendicare York | Sudbury | 288 | 11.0 | 11.0 |
| Strathcona Long Term Care | Mount Forest | 96 | 11.0 | 11.0 |
| Kentwood Park | Picton | 45 | 11.0 | 11.0 |
| Camilla Care Community | Mississauga | 236 | 9.0 | 23.0 |
| Shalom Manor Long Term Care Home | Grimsby | 144 | 9.0 | 9.0 |
| St. Joseph's Villa, Sudbury | Sudbury | 128 | 6.5 | 9.0 |
| Parkview Nursing Centre | Hamilton | 126 | 6.0 | 6.0 |
| Orchard Terrace Care Centre | Stoney Creek | 45 | 5.0 | 5.0 |
| Vision Nursing Home | Sarnia | 146 | 5.0 | 5.0 |
| Wentworth Lodge | Dundas | 160 | 5.0 | 5.0 |
| Centennial Place Long-Term Care Home | Millbrook | 128 | 5.0 | 2.5 |
| LTC_Home | City | Beds | Today's Deaths | All-time Deaths |
|---|---|---|---|---|
| Cedarwood Village | Simcoe | 90 | 2.5 | 2.5 |
| Strathmere Lodge | Strathroy | 160 | 2.5 | 2.5 |
| Providence Manor | Kingston | 243 | 2.5 | 2.5 |
| Centennial Place Long-Term Care Home | Millbrook | 128 | 2.5 | 2.5 |
| St. Joseph's Villa, Dundas | Dundas | 425 | 1.0 | 14.0 |
| Reporting_PHU | Age_Group | Client_Gender | Case_AcquisitionInfo | Case_Reported_Date | Episode_Date | Count |
|---|---|---|---|---|---|---|
| Toronto PHU | 20s | MALE | Community | 2022-04-10 | 2022-04-08 | 1 |
| Northwestern | 30s | MALE | Community | 2022-03-29 | 2022-02-02 | 1 |
| Northwestern | 30s | FEMALE | Community | 2022-04-12 | 2022-04-12 | 1 |
| Halton | 70s | MALE | Community | 2022-03-28 | 2022-03-28 | 1 |
| Hamilton | 70s | MALE | Community | 2022-03-31 | 2022-03-31 | 1 |
| Toronto PHU | 70s | MALE | Outbreak | 2022-04-06 | 2022-04-03 | 1 |
| Halton | 80s | FEMALE | Community | 2022-04-09 | 2022-04-09 | 1 |
| Kingston | 80s | FEMALE | Close contact | 2022-04-08 | 2022-04-07 | 1 |
| Kingston | 80s | FEMALE | Community | 2022-04-08 | 2022-04-07 | -1 |
| Ottawa | 80s | FEMALE | Outbreak | 2022-04-01 | 2022-04-01 | 2 |
| York | 80s | FEMALE | Community | 2022-04-10 | 2022-04-09 | 1 |
| Hamilton | 90+ | FEMALE | Community | 2022-04-08 | 2022-04-07 | 1 |
| Leeds, Grenville, Lanark | 90+ | MALE | Community | 2022-04-04 | 2022-03-28 | 1 |
| Waterloo Region | 90+ | MALE | Community | 2022-04-08 | 2022-04-06 | 1 |
2022.04.13 16:33 enterprisevalue Ontario Apr 13: 3,833 Cases, 13 Deaths, 23,618 tests (16.2% to 17.5% pos.) 🏥 ICUs: 182 (-8 vs. yest.) (+14 vs. last wk) 💉 38,191 admin, 90.04% / 86.65% / 51.66% (+0.01%, / +0.01% / 0.04%) of 5+ at least 1/2/3 dosed,
Link to report: https://files.ontario.ca/moh-covid-19-report-en-2022-04-13.pdf
Detailed tables: Google Sheets mode and some TLDR charts
Testing data: - Source
Vaccines - detailed data: Source
Schools Data:
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
Jail Data - (latest data as of April 11) Source
Main data table:
Vaccine coverage by PHU/age group - as of April 13 (% at least two/three dosed, chg. week) -
Canada comparison - Source - data as of April 12
LTCs with 5+ new cases today: Why are there 0.5 cases/deaths?
LTC Deaths today: - this section is reported by the Ministry of LTC and the data may not reconcile with the LTC data above because that is published by the MoH.
Today's deaths:
submitted by enterprisevalue to ontario [link] [comments]
Detailed tables: Google Sheets mode and some TLDR charts
- Throwback Ontario April 13, 2020 update: 421 New Cases, 236 Recoveries, 17 Deaths, 5,065 tests (8.31% positive), Current ICUs: 263 (+2 vs. yesterday) (+47 vs. last week)
- Throwback Ontario April 13, 2021 update: 3670 New Cases, 2573 Recoveries, 15 Deaths, 42,167 tests (8.70% positive), Current ICUs: 626 (+7 vs. yesterday) (+116 vs. last week)
- Backlog: 8,712 (-695), 23,618 tests completed (1,673.1 per 100k in week) 22,923 swabbed
- MoH positive rate: 17.5% - differs from the cases/tests calc.
- Positive rate (Day/Week/Prev Week): 16.23% / 19.57% / 18.26% - Chart
- New cases with episode dates in last 3 days: 2,212 / 1,803 / 1,528 (+478 vs. yesterday week avg)
- New cases - episode dates in last 7 days: 3,048 / 2,831 / 2,397 (+278 vs. yesterday week avg)
- New cases - episode dates in last 30 days: 3,586 / 3,286 / 2,712 (+370 vs. yesterday week avg)
- New cases - ALL episode dates: 3,833 / 3,475 / 2,950 (+412 vs. yesterday week avg)
- 7 day average: 3,475 (+55.6 vs. yesterday) (+525 or +17.8% vs. last week), (+1,737 or +99.9% vs. 30 days ago)
- Today's Rt estimate: 1.05 - Historical
- Active cases: 32,198 (+481 vs. yesterday) (+6,639 vs. last week) - Chart
- Current hospitalizations: 1,332(-34), ICUs: 182(-8), Ventilated: 85(+3), [vs. last week: +258 / +14 / +2] - Chart
- New hospitalizations (Week/prev week avgs.): 132 (105.3 / 73.4), ICUs: 10 (6.1 / 6.9),
- Total reported cases to date: 1,204,452
- Hospitalizations / ICUs/ +veICU count by Ontario Health Region (ICUs vs. last week): North: 133/19/19(-1), Toronto: 187/16/15(-6), East: 314/57/43(+12), West: 424/50/40(+5), Central: 274/40/33(+4), Total: 1332 / 182 / 150
- Rolling case fatality rates for outbreak and non-outbreak cases
- Chart showing the 7 day average of cases per 100k by age group
- Cases and vaccinations by postal codes (first 3 letters)
- Details on post-vaccination cases
- 47.1% / 60.5% of the hospitalizations/ICU numbers are people there FOR COVID.
- Of the 13 deaths with details today, 6 were caused by COVID, 1 were contributed to by COVID and 6 were unknown
- 112 / 26 new LTC resident/HCW cases - Chart of active 70+ cases split by outbreak and non-outbreak cases
- 1 / 9 / 49 / 395 / 4441 LTC deaths in last day / week / 30 / 100 days / all-time
- Total COVID/non-COVID ICU patients: 181 / 1,538 (+19/ -36)
- Total avail ICU capacity for ALL: 624 (+17)
- Total ICU capacity: 2,343
| Metric | Not_FullVax | Not_FullVax_5+ | Full | Boosted | Unknown |
|---|---|---|---|---|---|
| Cases - today | 417 | -110 | 977 | 2,272 | 167 |
| Cases Per 100k - today | 15.40 | 15.50 | 19.77 | 31.67 | - |
| Risk vs. boosted - today | 0.49x | 0.49x | 0.49x | 1.00x | - |
| Case % less (more) risk vs. not full vax - today | - | - | -27.5% | -104.2% | - |
| Avg daily Per 100k - week | 15.72 | 16.03 | 18.21 | 29.66 | - |
| Risk vs. boosted - week | 0.49x | 0.54x | 0.49x | 1.00x | - |
| Case % less risk vs. unvax - week | - | - | -13.6% | -85.0% | - |
| Metric | Unvax_All | Unvax_5+ | Partial | Full | Unknown |
|---|---|---|---|---|---|
| ICU - count | 29 | n/a | 6 | 69 | 78 |
| ICU per mill | 13.08 | - | 12.26 | 5.70 | - |
| ICU % less risk vs. unvax | - | - | 6.2% | 56.5% | - |
| ICU risk vs. full | 2.30x | - | 2.15x | 1.00x | - |
| Non_ICU Hosp - count | 191 | n/a | 36 | 850 | - |
| Non_ICU Hosp per mill | 86.13 | - | 73.57 | 70.16 | - |
| Non_ICU Hosp % less risk vs. unvax | - | - | 14.6% | 18.5% | - |
| Non_ICU Hosp risk vs. full | 1.23x | - | 1.05x | 1.00x | - |
| Age group per 100k - day - April 13: | |||||
| 0-4yrs | 15.21 | - | 0.00 | 0.00 | - |
| 5-11yrs | 13.11 | - | 15.23 | 763.40 | - |
| 12-17yrs | 11.42 | - | 16.65 | 15.47 | - |
| 18-39yrs | 12.57 | - | 21.37 | 37.86 | - |
| 40-59yrs | 12.28 | - | 21.81 | 39.04 | - |
| 60+ | 69.79 | - | 20.08 | 22.85 | - |
- Total admin: 32,281,477 (+38,191 / +168,818 in last day/week)
- First doses admin: 12,617,821 / (+1,174 / +6,852 in last day/week)
- Second doses admin: 12,141,151 (+1,854 / +12,381 in last day/week)
- Third doses admin: 7,237,636 (+5,211 / +32,721 in last day/week)
- 85.13% / 81.91% / 48.83% of all Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.04% today) (0.05% / 0.08% / 0.22% in last week)
- 90.04% / 86.65% / 51.66% of 5+ Ontarians have received at least one / two / three dose to date (0.01% / 0.01% / 0.04% today) (0.05% / 0.09% / 0.23% in last week)
- 0.141% / 0.560% of the remaining 12+ unvaccinated population got vaccinated today/this week
- To date, 35,805,101 vaccines have been delivered to Ontario (last updated February 3) - Source
- There are 3,523,624 unused vaccines which will take 146.1 days to administer based on the current 7 day average of 24,117 /day
- Ontario's population is 14,822,201 as published here. Age group populations as provided by the MOH here
- Vaccine uptake report (updated weekly) incl. vaccination coverage by PHUs - link
- Based on this week's vaccination rates, 60% of 5+ Ontarians will have received boosters by December 23, 2022 at 11:47 - 254 days to go
| Age | Cases/100k | First doses | Second doses | Third doses | First Dose % (day/week) | Second Dose % (day/week) | Third Dose % (day/week) |
|---|---|---|---|---|---|---|---|
| 05-11yrs | 14.5 | 256 | 801 | 1 | 55.89% (+0.02% / +0.17%) | 34.21% (+0.07% / +0.56%) | 0.01% (+0.00% / +0.00%) |
| 12-17yrs | 21.0 | 97 | 224 | 658 | 89.97% (+0.01% / +0.07%) | 92.49% (+0.02% / +0.17%) | 14.83% (+0.07% / +0.51%) |
| 18-29yrs | 24.0 | 198 | 233 | 789 | 89.16% (+0.01% / +0.05%) | 85.71% (+0.01% / +0.05%) | 37.71% (+0.03% / +0.22%) |
| 30-39yrs | 32.9 | 174 | 166 | 675 | 90.83% (+0.01% / +0.05%) | 88.10% (+0.01% / +0.06%) | 46.43% (+0.03% / +0.23%) |
| 40-49yrs | 37.0 | 124 | 123 | 668 | 90.94% (+0.01% / +0.03%) | 88.98% (+0.01% / +0.04%) | 53.27% (+0.04% / +0.23%) |
| 50-59yrs | 27.3 | 104 | 97 | 665 | 91.08% (+0.01% / +0.03%) | 89.50% (+0.00% / +0.03%) | 62.13% (+0.03% / +0.22%) |
| 60-69yrs | 20.6 | 121 | 126 | 872 | 97.57% (+0.01% / +0.03%) | 96.12% (+0.01% / +0.03%) | 78.05% (+0.05% / +0.27%) |
| 70-79yrs | 19.5 | 78 | 64 | 581 | 100.57% (+0.01% / +0.03%) | 99.21% (+0.01% / +0.03%) | 87.81% (+0.05% / +0.25%) |
| 80+ yrs | 38.2 | 22 | 23 | 304 | 102.97% (+0.00% / +0.02%) | 100.66% (+0.00% / +0.02%) | 88.88% (+0.05% / +0.22%) |
| Unknown | 0 | -3 | -2 | 0.01% (+0.00% / +0.00%) | 0.01% (-0.00% / -0.00%) | 0.00% (-0.00% / -0.00%) | |
| Total - 18+ | 821 | 832 | 4,554 | 93.12% (+0.01% / +0.04%) | 90.90% (+0.01% / +0.04%) | 59.27% (+0.04% / +0.23%) | |
| Total - 12+ | 918 | 1,056 | 5,212 | 92.89% (+0.01% / +0.04%) | 91.02% (+0.01% / +0.05%) | 55.96% (+0.04% / +0.25%) | |
| Total - 5+ | 1,174 | 1,857 | 5,213 | 90.04% (+0.01% / +0.05%) | 86.65% (+0.01% / +0.09%) | 51.66% (+0.04% / +0.23%) |
- The median school has 13% of students/staff absent. The interquartile range is 11% to 16%
- New outbreak cases: 128
- New outbreak cases (groups with 2+): Hospital (4), Long-term care home (78), Retirement home (28), Congregate other (5), Correctional facility (6), Group home/supportive housing (7),
- 488 active cases in outbreaks (+147 vs. last week)
- Major categories with active cases (vs. last week): Long-Term Care Homes: 140(+36), Retirement Homes: 117(+41), Group Home/Supportive Housing: 101(+31), Hospitals: 75(+29), Shelter: 22(+8), Congregate other: 21(+1), Correctional Facility: 12(+1),
- Chile: 90.7, South Korea: 86.8, Spain: 86.2, China: 86.2,
- Australia: 83.0, Canada: 82.0, Argentina: 81.3, Japan: 80.1,
- Italy: 79.3, France: 77.8, Brazil: 75.8, Germany: 75.4,
- Sweden: 75.0, European Union: 73.2, United Kingdom: 72.7, Bangladesh: 69.2,
- Iran: 67.3, Israel: 66.0, United States: 65.8, Turkey: 62.3,
- India: 60.3, Indonesia: 58.5, Pakistan: 53.3, Russia: 50.1,
- South Africa: 30.1,
- Map charts showing rates of at least one dose and total doses per 100 people
- Chile: 86.1 (90.7) Italy: 64.9 (79.3) South Korea: 64.2 (86.8) Germany: 58.5 (75.4) United Kingdom: 57.2 (72.7)
- Israel: 56.8 (66.0) France: 54.6 (77.8) Spain: 52.6 (86.2) Sweden: 51.3 (75.0) Australia: 51.2 (83.0)
- European Union: 50.2 (73.2) China: 49.8 (86.2) Canada: 48.4 (82.0) Japan: 46.7 (80.1) Argentina: 43.2 (81.3)
- Turkey: 42.9 (62.3) Brazil: 39.0 (75.8) Iran: 31.3 (67.3) United States: 29.8 (65.8) Indonesia: 10.3 (58.5)
- Russia: 9.4 (50.1) Bangladesh: 6.5 (69.2) South Africa: 4.1 (30.1) Pakistan: 2.9 (53.3) India: 1.7 (60.3)
- South Korea: 2489.0 (87.71) Australia: 1393.8 (86.26) Germany: 1392.1 (75.94) France: 1371.0 (80.13)
- Italy: 726.8 (84.06) European Union: 706.5 (75.22) Israel: 489.3 (72.17) United Kingdom: 395.8 (77.62)
- Vietnam: 357.5 (n/a) Japan: 274.4 (81.59) Spain: 162.4 (88.07) Chile: 124.5 (93.13)
- Canada: 103.0 (86.6) United States: 80.6 (77.22) Brazil: 66.4 (84.96) Russia: 62.6 (54.92)
- Turkey: 62.2 (67.96) Sweden: 40.6 (76.98) Mexico: 40.5 (n/a) Iran: 25.6 (75.41)
- Argentina: 23.8 (89.84) South Africa: 14.6 (35.11) China: 12.0 (88.64) Indonesia: 4.1 (71.52)
- Egypt: 2.7 (n/a) Saudi Arabia: 2.2 (n/a) India: 0.5 (71.49) Pakistan: 0.4 (59.35)
- Ethiopia: 0.2 (n/a) Bangladesh: 0.2 (77.24) Nigeria: 0.1 (n/a)
- France: 364, Germany: 341, Chile: 322, South Korea: 295, Israel: 178,
- Canada: 164, Argentina: 141, Italy: 115, Spain: 110, Japan: 97,
- United Kingdom: 84, Australia: 73, United States: 71, South Africa: 41,
- NY: 4,995 (179.7), CA: 2,591 (45.9), TX: 2,414 (58.3), FL: 1,894 (61.7), NJ: 1,790 (141.1),
- IL: 1,757 (97.1), MA: 1,640 (166.6), CO: 1,577 (191.7), WA: 1,448 (133.1), VA: 995 (81.6),
- AZ: 977 (94.0), PA: 933 (51.0), PR: 760 (166.5), WI: 716 (86.0), CT: 626 (123.0),
- MI: 617 (43.3), OH: 547 (32.7), MD: 539 (62.4), MN: 514 (63.8), GA: 492 (32.5),
- KY: 457 (71.6), OR: 360 (59.8), RI: 340 (224.8), DC: 293 (290.9), TN: 265 (27.1),
- PR: 82.8% (0.1%), RI: 82.0% (0.2%), VT: 80.8% (0.1%), ME: 79.1% (0.2%), CT: 78.8% (0.2%),
- MA: 78.5% (0.2%), HI: 78.0% (0.1%), NY: 76.5% (0.2%), MD: 75.8% (0.8%), NJ: 75.3% (0.2%),
- DC: 73.4% (0.3%), VA: 72.8% (0.2%), WA: 72.3% (0.1%), CA: 71.5% (0.3%), NM: 70.6% (0.2%),
- CO: 70.0% (0.1%), NH: 69.8% (0.3%), OR: 69.4% (0.1%), MN: 68.9% (0.1%), DE: 68.7% (0.2%),
- IL: 68.5% (0.3%), PA: 68.0% (0.2%), FL: 66.7% (0.1%), WI: 65.3% (0.1%), UT: 64.0% (0.1%),
- NE: 63.4% (0.1%), AK: 61.9% (0.1%), IA: 61.7% (0.1%), AZ: 61.2% (0.1%), TX: 61.1% (0.2%),
- KS: 61.0% (0.1%), SD: 60.9% (0.3%), NV: 60.5% (0.1%), NC: 60.5% (0.3%), MI: 59.9% (0.1%),
- OH: 58.2% (0.1%), WV: 57.4% (0.1%), KY: 57.2% (0.1%), OK: 56.9% (0.2%), SC: 56.6% (0.1%),
- MT: 56.5% (0.1%), MO: 55.8% (0.1%), ND: 54.7% (0.0%), IN: 54.6% (0.1%), GA: 54.4% (0.1%),
- TN: 54.2% (0.1%), AR: 54.2% (0.1%), ID: 53.8% (0.1%), LA: 53.3% (0.1%), MS: 51.6% (0.1%),
- WY: 51.3% (0.1%), AL: 50.8% (0.1%),
The England age group data below is actually lagged by four days, i.e. the , the 'Today' data is actually '4 day ago' data.
| Metric | Today | 7d ago | 14d ago | 21d ago | 30d ago | Peak |
|---|---|---|---|---|---|---|
| Cases - 7-day avg | 36,208 | 55,624 | 79,819 | 86,228 | 63,457 | 183,084 |
| Hosp. - current | 19,770 | 20,469 | 19,513 | 16,878 | 13,016 | 39,256 |
| Vent. - current | 385 | 364 | 365 | 316 | 257 | 4,077 |
| England weekly cases/100k by age: | ||||||
| <60 | 406.7 | 712.1 | 904.0 | 858.9 | 532.7 | 2520.8 |
| 60+ | 529.4 | 723.1 | 818.8 | 710.6 | 412.8 | 1192.5 |
- Total inmate cases in last day/week: 8/91
- Total inmate tests completed in last day/week (refused test in last day/week): 255/1435 (99/300)
- Jails with 2+ cases yesterday: Kenora Jail: 3, Central East Correctional Centre: 2,
| Age Group | Outbreak | CFR % | Deaths | Non-outbreak | CFR% | Deaths |
|---|---|---|---|---|---|---|
| 19 & under | 0.00% | 0 | 0.02% | 2 | ||
| 20s | 0.22% | 1 | 0.02% | 2 | ||
| 30s | 0.00% | 0 | 0.07% | 7 | ||
| 40s | 0.23% | 1 | 0.06% | 6 | ||
| 50s | 0.19% | 1 | 0.13% | 10 | ||
| 60s | 1.42% | 6 | 0.95% | 38 | ||
| 70s | 4.03% | 19 | 3.06% | 66 | ||
| 80s | 4.75% | 40 | 6.17% | 68 | ||
| 90+ | 2.30% | 15 | 16.73% | 46 |
| PHU | Today | Averages | Last 7 | Prev 7 | Totals per 100k | Last 7/100k | Prev 7/100k | Active/100k | Ages (day %)->> | <20 | 20-29 | 30-49 | 50-69 | 70+ | Source (day %)->> | Close contact | Community | Outbreak | Travel |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 3833 | 3475.9 | 2950.1 | 163.7 | 138.9 | 216.6 | 12.2 | 15.3 | 35.6 | 24.1 | 12.7 | 22.5 | 66.9 | 9.7 | 0.9 | ||||
| Toronto PHU | 892 | 766.1 | 686.3 | 171.9 | 154.0 | 199.4 | 10.1 | 20.2 | 36.9 | 22.9 | 10.1 | 10.0 | 85.9 | 3.9 | 0.2 | ||||
| Simcoe-Muskoka | 234 | 202.7 | 169.3 | 236.7 | 197.6 | 317.2 | 9.8 | 15.8 | 44.0 | 21.4 | 9.0 | 13.7 | 77.8 | 8.5 | 0.0 | ||||
| Hamilton | 222 | 183.0 | 144.4 | 216.3 | 170.7 | 328.8 | 10.8 | 16.7 | 35.6 | 25.2 | 11.7 | 6.8 | 81.5 | 11.7 | 0.0 | ||||
| York | 199 | 204.6 | 159.0 | 116.8 | 90.8 | 104.8 | 22.6 | 11.6 | 30.7 | 24.6 | 10.6 | 22.6 | 71.9 | 5.5 | 0.0 | ||||
| Ottawa | 194 | 183.7 | 170.6 | 121.9 | 113.2 | 181.0 | 11.9 | 13.9 | 28.9 | 25.8 | 19.6 | 27.3 | 51.0 | 21.1 | 0.5 | ||||
| Durham | 193 | 163.4 | 132.1 | 160.5 | 129.8 | 224.7 | 14.0 | 11.9 | 34.2 | 34.2 | 5.7 | 41.5 | 54.4 | 3.1 | 1.0 | ||||
| Peel | 166 | 185.1 | 187.0 | 80.7 | 81.5 | 112.4 | 13.9 | 13.3 | 41.6 | 22.3 | 9.0 | 22.3 | 69.3 | 5.4 | 3.0 | ||||
| Niagara | 166 | 137.9 | 84.4 | 204.2 | 125.1 | 265.4 | 15.7 | 16.3 | 32.5 | 25.9 | 9.6 | 14.5 | 78.3 | 6.6 | 0.6 | ||||
| Kingston | 158 | 134.9 | 108.9 | 443.8 | 358.3 | 683.1 | 19.6 | 10.1 | 38.6 | 24.7 | 7.0 | 55.1 | 32.9 | 6.3 | 5.7 | ||||
| Halton | 146 | 114.0 | 98.1 | 128.9 | 111.0 | 179.1 | 10.3 | 12.3 | 43.8 | 20.5 | 13.0 | 15.1 | 78.8 | 6.2 | 0.0 | ||||
| London | 105 | 102.1 | 98.9 | 140.9 | 136.3 | 215.4 | 3.8 | 18.1 | 50.5 | 21.0 | 6.7 | 21.9 | 73.3 | 4.8 | 0.0 | ||||
| Hastings | 97 | 66.4 | 61.1 | 275.9 | 254.0 | 475.3 | 11.3 | 9.3 | 42.3 | 29.9 | 7.2 | 15.5 | 66.0 | 16.5 | 2.1 | ||||
| Waterloo Region | 97 | 116.3 | 91.4 | 139.3 | 109.5 | 198.0 | 10.3 | 26.8 | 36.1 | 15.5 | 11.3 | 23.7 | 70.1 | 5.2 | 1.0 | ||||
| Windsor | 95 | 118.3 | 99.4 | 194.9 | 163.8 | 196.8 | 15.8 | 15.8 | 31.6 | 22.1 | 14.7 | 55.8 | 35.8 | 3.2 | 5.3 | ||||
| Sudbury | 84 | 60.1 | 51.7 | 211.5 | 181.8 | 315.0 | 6.0 | 13.1 | 32.1 | 29.8 | 19.0 | 72.6 | 25.0 | 2.4 | 0.0 | ||||
| Wellington-Guelph | 81 | 71.6 | 61.0 | 160.6 | 136.9 | 245.3 | 13.6 | 12.3 | 35.8 | 19.8 | 18.5 | 11.1 | 76.5 | 12.3 | 0.0 | ||||
| Eastern Ontario | 65 | 47.3 | 37.7 | 158.6 | 126.5 | 219.5 | 9.2 | 18.5 | 33.8 | 21.5 | 16.9 | 23.1 | 69.2 | 6.2 | 1.5 | ||||
| Algoma | 64 | 48.9 | 51.1 | 298.9 | 312.9 | 529.7 | 10.9 | 9.4 | 35.9 | 31.2 | 12.5 | 34.4 | 56.2 | 9.4 | 0.0 | ||||
| Thunder Bay | 63 | 31.9 | 26.0 | 148.7 | 121.4 | 223.4 | 25.4 | 17.5 | 31.7 | 14.3 | 11.1 | 22.2 | 69.8 | 4.8 | 3.2 | ||||
| Leeds, Grenville, Lanark | 58 | 44.7 | 35.1 | 180.7 | 142.1 | 265.6 | 8.6 | 6.9 | 34.5 | 32.8 | 17.2 | 15.5 | 75.9 | 8.6 | 0.0 | ||||
| Grey Bruce | 46 | 57.3 | 45.1 | 236.0 | 186.0 | 258.4 | 6.5 | 15.2 | 15.2 | 28.3 | 34.8 | 17.4 | 37.0 | 45.7 | 0.0 | ||||
| Haliburton, Kawartha | 45 | 45.4 | 26.1 | 168.3 | 96.8 | 225.5 | 4.4 | 20.0 | 26.7 | 17.8 | 31.1 | 24.4 | 11.1 | 62.2 | 2.2 | ||||
| Northwestern | 42 | 40.9 | 42.0 | 326.3 | 335.4 | 519.1 | 31.0 | 2.4 | 26.2 | 26.2 | 7.1 | 54.8 | 38.1 | 4.8 | 2.4 | ||||
| Huron Perth | 41 | 30.3 | 22.9 | 151.7 | 114.5 | 197.5 | 17.1 | 7.3 | 22.0 | 12.2 | 41.5 | 24.4 | 36.6 | 39.0 | 0.0 | ||||
| North Bay | 40 | 28.4 | 32.3 | 153.3 | 174.1 | 211.9 | 10.0 | 12.5 | 22.5 | 30.0 | 25.0 | 25.0 | 42.5 | 32.5 | 0.0 | ||||
| Southwestern | 37 | 50.3 | 37.1 | 166.4 | 122.9 | 203.3 | 8.1 | 21.6 | 32.4 | 18.9 | 18.9 | 45.9 | 29.7 | 21.6 | 2.7 | ||||
| Peterborough | 34 | 35.0 | 22.1 | 165.5 | 104.7 | 218.3 | 8.8 | 8.8 | 52.9 | 8.8 | 20.6 | 17.6 | 70.6 | 11.8 | 0.0 | ||||
| Timiskaming | 32 | 15.6 | 11.4 | 333.4 | 244.7 | 556.7 | 12.5 | 9.4 | 9.4 | 37.5 | 31.2 | 9.4 | 68.8 | 21.9 | 0.0 | ||||
| Renfrew | 28 | 23.4 | 18.3 | 151.0 | 117.8 | 152.8 | 10.7 | 7.1 | 35.7 | 35.7 | 10.7 | 42.9 | 42.9 | 14.3 | 0.0 | ||||
| Brant | 27 | 40.0 | 31.3 | 180.4 | 141.1 | 270.6 | 14.8 | 14.8 | 40.7 | 22.2 | 7.4 | 40.7 | 55.6 | 3.7 | 0.0 | ||||
| Chatham-Kent | 26 | 33.3 | 19.4 | 219.1 | 127.9 | 243.6 | 7.7 | 0.0 | 23.1 | 15.4 | 53.8 | 34.6 | 0.0 | 65.4 | 0.0 | ||||
| Haldimand-Norfolk | 23 | 31.9 | 28.9 | 195.5 | 177.1 | 248.1 | 0.0 | 21.7 | 34.8 | 26.1 | 17.4 | 13.0 | 60.9 | 26.1 | 0.0 | ||||
| Porcupine | 20 | 23.6 | 28.3 | 197.7 | 237.2 | 381.0 | 20.0 | 20.0 | 20.0 | 25.0 | 15.0 | 25.0 | 60.0 | 15.0 | 0.0 | ||||
| Lambton | 13 | 37.6 | 31.1 | 200.8 | 166.5 | 242.8 | 0.0 | 0.0 | 15.4 | 69.2 | 15.4 | 61.5 | 0.0 | 30.8 | 7.7 | ||||
| Regions of Zeroes | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| PHU name | 5+ population | 12+ | 05-11yrs | 12-17yrs | 18-29yrs | 30-39yrs | 40-49yrs | 50-59yrs | 60-69yrs | 70-79yrs | 80+ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Leeds, Grenville, Lanark | 91.8%/62.2% (+0.0%/+0.2%) | 95.6%/66.7% (+0.0%/+0.2%) | 39.4%/0.0% (+0.5%/+0.0%) | 91.9%/13.5% (+0.1%/+0.7%) | 84.0%/39.9% (+0.1%/+0.2%) | 98.0%/52.8% (+0.0%/+0.2%) | 90.6%/57.8% (+0.0%/+0.2%) | 88.1%/65.6% (+0.0%/+0.2%) | 100.0%/88.0% (+0.0%/+0.2%) | 100.0%/98.7% (+0.0%/+0.1%) | 100.0%/100.0% (+0.0%/+0.0%) | |
| Northwestern | 90.5%/53.1% (+0.1%/+0.2%) | 96.8%/58.8% (+0.1%/+0.3%) | 32.0%/0.0% (+0.7%/+0.0%) | 96.9%/17.3% (+0.3%/+0.5%) | 95.5%/41.0% (+0.1%/+0.2%) | 99.3%/51.9% (+0.1%/+0.3%) | 96.4%/58.5% (+0.1%/+0.3%) | 91.6%/63.6% (+0.1%/+0.2%) | 98.0%/79.2% (+0.0%/+0.3%) | 100.0%/88.2% (+0.0%/+0.2%) | 99.7%/86.9% (+0.1%/+0.1%) | |
| Kingston | 90.2%/61.6% (+0.1%/+0.2%) | 93.3%/66.1% (+0.1%/+0.2%) | 48.0%/0.0% (+0.4%/+0.0%) | 100.0%/19.4% (+0.0%/+1.3%) | 87.4%/47.1% (+0.1%/+0.2%) | 89.1%/55.9% (+0.0%/+0.1%) | 90.4%/63.5% (+0.0%/+0.2%) | 88.9%/69.8% (+0.0%/+0.1%) | 99.5%/87.7% (+0.1%/+0.2%) | 100.0%/92.7% (+0.0%/+0.2%) | 100.0%/93.8% (+0.0%/+0.2%) | |
| City Of Ottawa | 89.9%/58.1% (+0.1%/+0.3%) | 93.6%/63.1% (+0.0%/+0.3%) | 46.7%/0.0% (+0.6%/+0.0%) | 100.0%/24.0% (+0.0%/+0.8%) | 84.8%/43.8% (+0.0%/+0.3%) | 90.1%/54.8% (+0.0%/+0.2%) | 93.7%/64.2% (+0.0%/+0.2%) | 93.7%/72.9% (+0.0%/+0.2%) | 97.7%/84.5% (+0.0%/+0.3%) | 100.0%/92.6% (+0.0%/+0.2%) | 100.0%/95.2% (+0.0%/+0.2%) | |
| London | 89.2%/52.3% (+0.0%/+0.2%) | 93.7%/56.9% (+0.0%/+0.2%) | 38.0%/0.0% (+0.3%/+0.0%) | 100.0%/13.3% (+0.0%/+0.4%) | 91.4%/38.8% (+0.0%/+0.2%) | 90.3%/47.0% (+0.0%/+0.1%) | 92.2%/55.1% (+0.0%/+0.2%) | 88.3%/62.8% (-0.0%/+0.2%) | 96.1%/79.6% (-0.0%/+0.2%) | 100.0%/91.8% (+0.0%/+0.2%) | 100.0%/94.4% (+0.0%/+0.2%) | |
| Halton | 89.1%/54.6% (+0.1%/+0.2%) | 93.8%/60.1% (+0.0%/+0.2%) | 42.6%/0.0% (+0.5%/+0.0%) | 100.0%/19.5% (+0.0%/+0.5%) | 84.3%/44.0% (+0.0%/+0.2%) | 93.2%/52.3% (+0.1%/+0.2%) | 91.8%/58.4% (+0.0%/+0.2%) | 93.3%/69.4% (+0.0%/+0.2%) | 96.5%/80.9% (+0.1%/+0.3%) | 99.8%/89.6% (+0.0%/+0.2%) | 100.0%/96.5% (+0.0%/+0.2%) | |
| Durham | 88.0%/50.8% (+0.1%/+0.2%) | 92.8%/55.8% (+0.0%/+0.2%) | 38.5%/0.0% (+0.6%/+0.0%) | 96.2%/14.6% (+0.2%/+0.5%) | 84.0%/37.4% (+0.0%/+0.2%) | 93.6%/46.5% (+0.1%/+0.2%) | 91.6%/53.9% (+0.0%/+0.2%) | 90.1%/62.6% (+0.0%/+0.2%) | 97.0%/79.4% (+0.0%/+0.3%) | 100.0%/90.2% (+0.0%/+0.3%) | 100.0%/95.0% (+0.0%/+0.2%) | |
| Toronto PHU | 87.4%/52.8% (+0.1%/+0.3%) | 90.9%/56.4% (+0.1%/+0.3%) | 37.1%/0.0% (+0.7%/+0.0%) | 93.9%/19.2% (+0.2%/+0.6%) | 87.3%/40.0% (+0.1%/+0.3%) | 86.0%/50.0% (+0.1%/+0.3%) | 88.9%/56.4% (+0.0%/+0.3%) | 93.3%/64.5% (+0.0%/+0.3%) | 97.9%/77.5% (+0.0%/+0.4%) | 98.6%/84.9% (+0.1%/+0.4%) | 93.0%/80.1% (+0.1%/+0.3%) | |
| Waterloo Region | 86.9%/51.4% (+0.1%/+0.2%) | 91.5%/56.1% (+0.0%/+0.2%) | 35.6%/0.0% (+0.5%/+0.0%) | 93.4%/14.4% (+0.1%/+0.6%) | 88.9%/41.3% (+0.0%/+0.2%) | 90.4%/49.9% (+0.0%/+0.2%) | 89.0%/55.6% (+0.0%/+0.2%) | 88.8%/63.4% (+0.0%/+0.1%) | 94.1%/77.7% (+0.0%/+0.2%) | 98.8%/89.0% (+0.0%/+0.1%) | 100.0%/93.9% (+0.0%/+0.2%) | |
| Peel | 86.7%/43.2% (+0.1%/+0.3%) | 92.2%/47.1% (+0.1%/+0.3%) | 25.2%/0.0% (+0.7%/+0.0%) | 89.9%/11.6% (+0.2%/+0.5%) | 95.1%/33.0% (+0.1%/+0.2%) | 86.6%/37.7% (+0.1%/+0.3%) | 88.2%/45.3% (+0.0%/+0.3%) | 92.3%/57.9% (+0.0%/+0.3%) | 96.1%/71.2% (+0.0%/+0.4%) | 97.2%/78.7% (+0.0%/+0.4%) | 99.0%/81.4% (+0.0%/+0.4%) | |
| York | 86.6%/52.0% (+0.1%/+0.3%) | 91.0%/56.7% (+0.0%/+0.3%) | 35.9%/0.0% (+0.6%/+0.0%) | 96.7%/17.0% (+0.2%/+0.6%) | 84.2%/43.5% (+0.0%/+0.3%) | 89.1%/49.4% (+0.0%/+0.3%) | 90.8%/55.0% (+0.0%/+0.2%) | 89.9%/62.4% (+0.0%/+0.3%) | 93.2%/74.9% (+0.0%/+0.3%) | 97.2%/84.0% (-0.0%/+0.2%) | 100.0%/87.2% (+0.0%/+0.2%) | |
| Wellington-Guelph | 86.5%/53.4% (+0.1%/+0.2%) | 90.9%/58.4% (+0.0%/+0.2%) | 39.7%/0.0% (+0.4%/+0.0%) | 92.1%/15.9% (+0.1%/+0.6%) | 82.2%/39.3% (+0.1%/+0.2%) | 89.1%/48.1% (+0.1%/+0.1%) | 87.8%/55.3% (+0.0%/+0.2%) | 89.2%/64.5% (+0.0%/+0.1%) | 97.0%/81.8% (+0.0%/+0.2%) | 100.0%/93.8% (+0.0%/+0.2%) | 100.0%/99.9% (+0.0%/+0.1%) | |
| Thunder Bay | 85.8%/52.9% (+0.1%/+0.2%) | 90.1%/57.3% (+0.0%/+0.2%) | 33.1%/0.0% (+0.5%/+0.0%) | 89.9%/12.2% (+0.1%/+0.5%) | 81.1%/34.6% (+0.0%/+0.2%) | 90.3%/46.8% (+0.1%/+0.2%) | 87.9%/52.7% (+0.0%/+0.2%) | 87.7%/61.6% (+0.0%/+0.2%) | 93.8%/77.5% (+0.0%/+0.2%) | 100.0%/92.5% (+0.0%/+0.3%) | 100.0%/92.2% (+0.0%/+0.1%) | |
| Sudbury | 85.4%/51.7% (+0.1%/+0.2%) | 89.9%/55.8% (+0.0%/+0.2%) | 30.0%/0.0% (+0.6%/+0.0%) | 90.2%/10.4% (+0.2%/+0.4%) | 80.9%/32.4% (+0.0%/+0.2%) | 85.5%/40.8% (+0.0%/+0.1%) | 87.1%/49.9% (+0.0%/+0.1%) | 87.0%/59.8% (+0.0%/+0.1%) | 96.8%/80.0% (+0.0%/+0.2%) | 100.0%/91.6% (+0.0%/+0.2%) | 100.0%/91.4% (+0.0%/+0.2%) | |
| Peterborough | 85.3%/56.1% (+0.1%/+0.2%) | 89.2%/60.4% (+0.0%/+0.2%) | 34.2%/0.0% (+0.6%/+0.0%) | 89.1%/15.1% (+0.1%/+0.6%) | 76.6%/36.9% (+0.1%/+0.2%) | 89.0%/48.7% (+0.0%/+0.2%) | 87.3%/54.8% (+0.0%/+0.1%) | 82.1%/59.8% (+0.0%/+0.2%) | 95.2%/79.4% (+0.0%/+0.2%) | 100.0%/92.1% (+0.0%/+0.2%) | 100.0%/93.9% (+0.0%/+0.2%) | |
| Algoma | 85.2%/54.8% (+0.1%/+0.1%) | 88.9%/59.0% (+0.0%/+0.1%) | 35.8%/0.0% (+0.4%/+0.0%) | 88.9%/10.8% (+0.2%/+0.3%) | 77.7%/33.9% (+0.0%/+0.1%) | 88.1%/45.2% (+0.0%/+0.1%) | 86.9%/51.1% (+0.0%/+0.1%) | 83.6%/57.9% (+0.0%/+0.1%) | 95.3%/79.5% (+0.0%/+0.2%) | 97.7%/88.8% (+0.0%/+0.1%) | 98.3%/89.2% (-0.0%/+0.1%) | |
| Niagara | 84.9%/51.7% (+0.1%/+0.2%) | 89.1%/55.6% (+0.1%/+0.3%) | 30.3%/0.0% (+0.6%/+0.0%) | 86.0%/11.3% (+0.2%/+0.4%) | 79.6%/32.9% (+0.1%/+0.2%) | 89.8%/42.5% (+0.1%/+0.2%) | 87.0%/49.2% (+0.0%/+0.2%) | 85.6%/57.0% (+0.0%/+0.2%) | 94.9%/76.8% (+0.0%/+0.3%) | 97.6%/88.1% (+0.0%/+0.3%) | 100.0%/90.7% (+0.0%/+0.2%) | |
| City Of Hamilton | 84.9%/49.9% (+0.1%/+0.2%) | 89.3%/54.1% (+0.0%/+0.2%) | 31.4%/0.0% (+0.5%/+0.0%) | 89.2%/11.3% (+0.2%/+0.4%) | 84.7%/36.8% (+0.1%/+0.2%) | 87.1%/45.6% (+0.1%/+0.2%) | 87.4%/50.5% (+0.0%/+0.2%) | 87.5%/59.5% (+0.0%/+0.2%) | 93.6%/75.2% (+0.0%/+0.2%) | 97.5%/85.8% (+0.0%/+0.2%) | 99.0%/86.4% (+0.0%/+0.2%) | |
| Windsor | 84.6%/47.5% (+0.1%/+0.1%) | 89.5%/51.5% (+0.1%/+0.2%) | 26.7%/0.0% (+0.4%/+0.0%) | 86.3%/8.9% (+0.2%/+0.2%) | 79.9%/32.0% (+0.1%/+0.1%) | 92.6%/40.5% (+0.1%/+0.2%) | 88.6%/46.2% (+0.0%/+0.2%) | 89.0%/58.3% (+0.0%/+0.1%) | 94.3%/75.5% (+0.0%/+0.1%) | 98.4%/86.2% (+0.0%/+0.1%) | 99.2%/86.1% (+0.0%/+0.1%) | |
| Eastern Ontario | 84.5%/51.8% (+0.1%/+0.2%) | 89.4%/56.4% (+0.0%/+0.2%) | 28.7%/0.0% (+0.6%/+0.0%) | 87.8%/9.6% (+0.2%/+0.4%) | 78.6%/30.9% (+0.1%/+0.2%) | 87.7%/41.5% (+0.0%/+0.1%) | 86.4%/48.6% (+0.0%/+0.2%) | 85.2%/58.3% (+0.0%/+0.2%) | 96.6%/80.3% (+0.0%/+0.3%) | 99.9%/90.1% (+0.0%/+0.3%) | 100.0%/92.8% (+0.0%/+0.3%) | |
| Haliburton, Kawartha | 84.1%/54.9% (+0.0%/+0.1%) | 87.8%/58.5% (+0.0%/+0.1%) | 26.4%/0.0% (+0.5%/+0.0%) | 81.4%/7.9% (+0.1%/+0.2%) | 78.1%/31.9% (+0.0%/+0.1%) | 88.1%/40.6% (+0.0%/+0.1%) | 84.0%/47.2% (+0.0%/+0.1%) | 81.3%/55.1% (+0.0%/+0.1%) | 93.3%/77.4% (+0.0%/+0.1%) | 95.8%/87.2% (+0.0%/+0.1%) | 100.0%/90.7% (+0.0%/+0.0%) | |
| Brant County | 84.1%/48.1% (+0.0%/+0.2%) | 89.5%/52.8% (+0.0%/+0.2%) | 28.5%/0.0% (+0.4%/+0.0%) | 83.7%/10.4% (+0.1%/+0.4%) | 81.3%/30.9% (+0.0%/+0.1%) | 85.3%/38.9% (-0.0%/+0.2%) | 88.2%/47.5% (+0.0%/+0.2%) | 87.5%/58.5% (-0.0%/+0.1%) | 95.3%/76.8% (+0.0%/+0.2%) | 100.0%/93.0% (+0.0%/+0.2%) | 100.0%/95.5% (+0.0%/+0.2%) | |
| Simcoe-Muskoka | 83.9%/50.2% (+0.1%/+0.2%) | 88.5%/54.3% (+0.0%/+0.2%) | 29.0%/0.0% (+0.5%/+0.0%) | 87.7%/11.3% (+0.1%/+0.3%) | 79.1%/31.7% (+0.0%/+0.2%) | 86.3%/39.5% (+0.0%/+0.1%) | 85.0%/47.9% (+0.0%/+0.2%) | 84.5%/58.5% (+0.0%/+0.2%) | 96.5%/78.7% (+0.0%/+0.2%) | 97.8%/87.5% (+0.0%/+0.2%) | 100.0%/94.4% (+0.0%/+0.2%) | |
| North Bay | 83.2%/52.9% (+0.1%/+0.2%) | 87.3%/56.9% (+0.1%/+0.2%) | 26.9%/0.0% (+0.5%/+0.0%) | 84.2%/10.9% (+0.2%/+0.6%) | 74.8%/31.4% (+0.1%/+0.1%) | 84.0%/40.8% (+0.1%/+0.1%) | 83.5%/48.5% (+0.1%/+0.1%) | 82.5%/56.5% (+0.1%/+0.1%) | 95.8%/78.7% (+0.0%/+0.2%) | 97.5%/87.2% (+0.0%/+0.2%) | 100.0%/92.5% (+0.0%/+0.1%) | |
| Porcupine | 83.1%/45.8% (+0.1%/+0.1%) | 88.8%/50.2% (+0.0%/+0.1%) | 24.5%/0.0% (+0.5%/+0.0%) | 87.5%/7.5% (+0.2%/+0.2%) | 79.4%/26.8% (+0.0%/+0.1%) | 85.0%/34.7% (+0.1%/+0.1%) | 86.4%/43.7% (+0.0%/+0.2%) | 87.9%/56.9% (+0.0%/+0.1%) | 95.8%/76.3% (+0.0%/+0.1%) | 99.8%/87.5% (-0.0%/+0.1%) | 100.0%/89.1% (+0.0%/+0.1%) | |
| Huron Perth | 82.9%/53.9% (+0.1%/+0.1%) | 88.1%/59.0% (+0.0%/+0.1%) | 26.8%/0.0% (+0.3%/+0.0%) | 79.7%/8.6% (+0.2%/+0.2%) | 75.2%/33.1% (+0.0%/+0.1%) | 82.6%/43.0% (+0.0%/+0.1%) | 82.1%/49.8% (+0.0%/+0.1%) | 83.0%/60.0% (-0.0%/+0.2%) | 98.7%/84.8% (+0.0%/+0.1%) | 100.0%/99.3% (+0.0%/+0.2%) | 100.0%/99.0% (+0.0%/+0.1%) | |
| Hastings | 82.7%/54.1% (+0.0%/+0.1%) | 86.8%/58.3% (+0.0%/+0.1%) | 29.9%/0.0% (+0.3%/+0.0%) | 86.2%/12.0% (+0.1%/+0.4%) | 74.4%/32.2% (+0.0%/+0.2%) | 78.4%/41.2% (+0.0%/+0.1%) | 81.9%/49.7% (+0.0%/+0.1%) | 82.0%/58.2% (+0.0%/+0.1%) | 97.1%/81.5% (+0.0%/+0.2%) | 98.9%/89.7% (+0.0%/+0.1%) | 100.0%/93.4% (+0.0%/+0.1%) | |
| Timiskaming | 82.2%/51.1% (+0.0%/+0.2%) | 86.7%/55.4% (+0.0%/+0.2%) | 28.1%/0.0% (+0.4%/+0.0%) | 85.7%/11.4% (+0.2%/+0.7%) | 77.4%/31.3% (+0.0%/+0.2%) | 80.8%/38.2% (+0.1%/+0.3%) | 84.2%/47.7% (+0.0%/+0.1%) | 81.7%/56.9% (+0.0%/+0.1%) | 92.4%/74.5% (-0.0%/+0.2%) | 99.2%/88.9% (+0.0%/+0.1%) | 100.0%/86.2% (+0.0%/+0.2%) | |
| Chatham-Kent | 82.0%/49.7% (+0.1%/+0.1%) | 87.0%/54.0% (+0.0%/+0.1%) | 23.4%/0.0% (+0.5%/+0.0%) | 77.2%/8.1% (+0.1%/+0.3%) | 75.6%/30.4% (+0.0%/+0.2%) | 81.0%/35.6% (+0.0%/+0.1%) | 84.7%/43.8% (+0.0%/+0.1%) | 83.7%/54.3% (+0.0%/+0.1%) | 96.4%/78.7% (+0.0%/+0.2%) | 100.0%/90.3% (+0.0%/+0.1%) | 100.0%/90.3% (+0.0%/+0.1%) | |
| Southwestern | 81.6%/48.4% (+0.2%/+0.2%) | 86.7%/53.1% (+0.2%/+0.3%) | 29.6%/0.0% (+0.2%/+0.0%) | 80.1%/8.3% (+0.2%/+0.2%) | 74.7%/29.0% (+0.2%/+0.2%) | 84.4%/38.5% (+0.2%/+0.2%) | 83.8%/45.5% (+0.1%/+0.2%) | 84.7%/57.8% (+0.1%/+0.2%) | 95.6%/79.6% (+0.2%/+0.4%) | 100.0%/91.7% (+0.1%/+0.3%) | 100.0%/94.3% (+0.0%/+0.3%) | |
| Lambton | 80.5%/50.0% (+0.1%/+0.1%) | 84.9%/54.1% (+0.0%/+0.1%) | 27.9%/0.0% (+0.5%/+0.0%) | 82.5%/7.1% (+0.1%/+0.2%) | 74.8%/30.6% (+0.0%/+0.2%) | 84.1%/40.3% (+0.1%/+0.1%) | 83.4%/47.1% (+0.0%/+0.1%) | 80.6%/54.1% (+0.0%/+0.1%) | 88.9%/73.5% (+0.0%/+0.1%) | 96.2%/89.9% (+0.0%/+0.2%) | 96.4%/88.5% (+0.0%/+0.1%) | |
| Renfrew | 80.4%/50.7% (+0.0%/+0.2%) | 85.2%/55.1% (+0.0%/+0.2%) | 25.3%/0.0% (+0.2%/+0.0%) | 84.4%/11.6% (+0.1%/+0.8%) | 74.4%/30.8% (+0.1%/+0.2%) | 70.7%/35.0% (+0.0%/+0.1%) | 78.4%/45.3% (+0.0%/+0.1%) | 83.9%/56.9% (+0.0%/+0.2%) | 98.3%/80.2% (+0.0%/+0.3%) | 99.7%/89.4% (+0.0%/+0.1%) | 100.0%/91.1% (+0.0%/+0.2%) | |
| Grey Bruce | 79.7%/52.8% (+0.0%/+0.1%) | 84.4%/57.3% (+0.0%/+0.1%) | 23.6%/0.0% (+0.4%/+0.0%) | 78.3%/7.8% (+0.1%/+0.2%) | 71.6%/32.0% (+0.0%/+0.1%) | 81.0%/43.2% (+0.0%/+0.1%) | 84.2%/50.8% (+0.0%/+0.1%) | 79.2%/56.3% (+0.0%/+0.1%) | 91.6%/77.0% (+0.0%/+0.2%) | 96.2%/88.4% (+0.0%/+0.2%) | 94.0%/84.8% (-0.0%/+0.1%) | |
| Haldimand-Norfolk | 79.2%/46.7% (+0.0%/+0.2%) | 84.0%/50.7% (+0.0%/+0.2%) | 23.1%/0.0% (+0.4%/+0.0%) | 70.7%/6.7% (+0.1%/+0.2%) | 68.1%/24.0% (+0.0%/+0.2%) | 82.1%/31.3% (+0.0%/+0.4%) | 82.7%/39.4% (+0.0%/+0.5%) | 81.3%/50.4% (+0.0%/+0.2%) | 92.2%/74.2% (+0.0%/+0.2%) | 98.9%/91.5% (-0.0%/+0.1%) | 100.0%/94.5% (+0.0%/+0.1%) |
| Province | Yesterday | Averages->> | Last 7 | Prev 7 | Per 100k->> | Last 7/100k | Prev 7/100k | Positive % - last 7 | Vaccines->> | Vax(day) | To date (per 100) | Weekly vax update->> | % with 1+ | % with both |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Canada | 7,132 | 7731.7 | 9406.6 | 141.5 | 172.2 | 15.8 | 78,264 | 215.6 | 84.76 | 81.4 | ||||
| Ontario | 2,300 | 3420.3 | 2860.1 | 161.5 | 135.0 | 19.5 | 38,191 | 217.7 | 84.47 | 81.3 | ||||
| Quebec | 2,596 | 3136.0 | 2879.4 | 255.1 | 234.2 | 16.6 | 40,073 | 220.4 | 85.73 | 83.0 | ||||
| New Brunswick | N/R | 565.4 | 522.4 | 501.5 | 463.4 | 40.1 | 0 | 220.5 | 88.4 | 83.3 | ||||
| Prince Edward Island | 2,229 | 318.4 | 368.0 | 1356.5 | 1567.7 | 538.4 | 0 | 227.9 | 91.03 | 87.1 | ||||
| Newfoundland | N/R | 227.1 | 319.4 | 305.4 | 429.6 | 26.1 | 0 | 241.4 | 95.8 | 91.8 | ||||
| British Columbia | N/R | 30.9 | 260.4 | 4.1 | 35.0 | 0.7 | 0 | 220.6 | 86.43 | 82.9 | ||||
| Northwest Territories | N/R | 18.9 | 46.4 | 290.1 | 714.2 | 96.4 | 0 | 220.1 | 80.17 | 76.7 | ||||
| Yukon | 7 | 14.7 | 13.9 | 239.6 | 225.7 | inf | 0 | 213.2 | 83.91 | 80.6 | ||||
| Nova Scotia | N/R | 0.0 | 998.7 | 0.0 | 704.7 | 0.0 | 0 | 223.5 | 90.62 | 85.8 | ||||
| Saskatchewan | N/R | 0.0 | 147.4 | 0.0 | 87.5 | 0.0 | 0 | 202.7 | 80.81 | 76.5 | ||||
| Alberta | N/R | 0.0 | 787.7 | 0.0 | 124.1 | 0.0 | 0 | 193.6 | 79.93 | 75.9 | ||||
| Nunavut | N/R | 0.0 | 8.4 | 0.0 | 149.7 | nan | 0 | 195.6 | 83.27 | 72.1 | ||||
| Manitoba | N/R | 0.0 | 194.1 | 0.0 | 98.2 | 0.0 | 0 | 206.9 | 83.37 | 80.0 |
| LTC_Home | City | Beds | New LTC cases | Current Active Cases |
|---|---|---|---|---|
| Cedarwood Village | Simcoe | 90 | 39.5 | 37.0 |
| Millennium Trail Manor | Niagara Falls | 160 | 13.0 | 13.0 |
| Strathmere Lodge | Strathroy | 160 | 12.5 | 21.0 |
| Extendicare York | Sudbury | 288 | 11.0 | 11.0 |
| Strathcona Long Term Care | Mount Forest | 96 | 11.0 | 11.0 |
| Kentwood Park | Picton | 45 | 11.0 | 11.0 |
| Camilla Care Community | Mississauga | 236 | 9.0 | 23.0 |
| Shalom Manor Long Term Care Home | Grimsby | 144 | 9.0 | 9.0 |
| St. Joseph's Villa, Sudbury | Sudbury | 128 | 6.5 | 9.0 |
| Parkview Nursing Centre | Hamilton | 126 | 6.0 | 6.0 |
| Orchard Terrace Care Centre | Stoney Creek | 45 | 5.0 | 5.0 |
| Vision Nursing Home | Sarnia | 146 | 5.0 | 5.0 |
| Wentworth Lodge | Dundas | 160 | 5.0 | 5.0 |
| Centennial Place Long-Term Care Home | Millbrook | 128 | 5.0 | 2.5 |
| LTC_Home | City | Beds | Today's Deaths | All-time Deaths |
|---|---|---|---|---|
| Cedarwood Village | Simcoe | 90 | 2.5 | 2.5 |
| Strathmere Lodge | Strathroy | 160 | 2.5 | 2.5 |
| Providence Manor | Kingston | 243 | 2.5 | 2.5 |
| Centennial Place Long-Term Care Home | Millbrook | 128 | 2.5 | 2.5 |
| St. Joseph's Villa, Dundas | Dundas | 425 | 1.0 | 14.0 |
| Reporting_PHU | Age_Group | Client_Gender | Case_AcquisitionInfo | Case_Reported_Date | Episode_Date | Count |
|---|---|---|---|---|---|---|
| Toronto PHU | 20s | MALE | Community | 2022-04-10 | 2022-04-08 | 1 |
| Northwestern | 30s | MALE | Community | 2022-03-29 | 2022-02-02 | 1 |
| Northwestern | 30s | FEMALE | Community | 2022-04-12 | 2022-04-12 | 1 |
| Halton | 70s | MALE | Community | 2022-03-28 | 2022-03-28 | 1 |
| Hamilton | 70s | MALE | Community | 2022-03-31 | 2022-03-31 | 1 |
| Toronto PHU | 70s | MALE | Outbreak | 2022-04-06 | 2022-04-03 | 1 |
| Halton | 80s | FEMALE | Community | 2022-04-09 | 2022-04-09 | 1 |
| Kingston | 80s | FEMALE | Close contact | 2022-04-08 | 2022-04-07 | 1 |
| Kingston | 80s | FEMALE | Community | 2022-04-08 | 2022-04-07 | -1 |
| Ottawa | 80s | FEMALE | Outbreak | 2022-04-01 | 2022-04-01 | 2 |
| York | 80s | FEMALE | Community | 2022-04-10 | 2022-04-09 | 1 |
| Hamilton | 90+ | FEMALE | Community | 2022-04-08 | 2022-04-07 | 1 |
| Leeds, Grenville, Lanark | 90+ | MALE | Community | 2022-04-04 | 2022-03-28 | 1 |
| Waterloo Region | 90+ | MALE | Community | 2022-04-08 | 2022-04-06 | 1 |