the son and daughter in law’s visit celebrated by the baking of an orange cake lovingly recreated as her late husband’s favourite memories choke relieved temporarily through martinis secretly spirited away in the kitchen seek to soothe but barbs life’s sadistic daggers deeper from wounds that will never heal only temporarily addressed by hope foistered on three children such as mother and daughter so close long distance calls come every day on the company’s phone line for free the Protestant ethic assuaged by a little corporate thieving chain smoking organizer of corporate conventions over organized in her own life threatening anyone seeking some love except for the Connecticut family man looking for free sex on platters of Manhattan meat markets the futility is not perceived even the mother hears about it her daughter carried drunk and sobbing in an ice cold bath end of the affair and even friends snicker at the mega organized terror another ice cube shatters on a greasy kitchen floor redirecting thoughts to an older son driven to opiated comforts now sees succession problems with fragments of brain scattered in India, Thailand and Nepal magic mushrooms and the absence of responsibility now in Alberta hunted by telephone company inspectors for unpaid bills after all why give a damn when last Christmas dear old Mom called his fiancé a slut and now the youngest victim of sanguine distances and prisoner of proximate locale grows weary of the frustration on a battlefield he may have created but only through his existence stolen away by a hated daughter in law as they both arrive disturbing lemon peel ruminations greeted by tottering mother slurred greetings of “he’s just like his father” so obliterated not even aware of her bitterness further fueled by cheap Hungarian wine burbles out more frustrated insults throughout a botched chicken casserole from a recipe dear daughter sent then a string of lewd insults generates disgust and a whirlwind exit and the untouched orange cake on the counter thrown out the window with a splat
Note: Provisional death counts are based on death certificate data received and coded by the National Center for Health Statistics as of February 3, 2021. Death counts are delayed and may differ from other published sources (see Technical Notes). Counts will be updated every Wednesday by 5pm. Additional information will be added to this site as available.
As of January 4, 2021, the tables and datasets on this page include data from January 2020 through the present data period. Cumulative death totals will be higher than previous reports which were restricted to include data from the week ending February 1, 2020.
For the Index of Provisional COVID-19 Mortality Surveillance and Ad-hoc Data Files, click here.
Sex and Age
Table 1 has counts of death involving COVID-19 and select causes of death by sex and age group for the United States. For data on sex and age at the state level, Click here to download. For data on sex and age by week, Click here to download.
NOTICE TO USERS: The data file for deaths by sex and age at the state level has been updated on September 2, 2020 to include the following age groups in addition to the age groups that are routinely included: 0-17, 18-29, 30-49, and 50-64. The new age groups are consistent with categories used across CDC COVID-19 surveillance pages. When analyzing the file, the user should make sure to select only the desired age groups. Summing across all age categories provided will result in double counting deaths from certain age groups.
Data on deaths involving COVID-19 among ages 0–18 are available here: Click here to download.
Table 1. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by sex and age group, United States, from 1/1/2020 to 1/30/2021.*
Updated February 3, 2021
Sex
Age group
All Deaths involving COVID-19 (U07.1)1
Deaths from All Causes
Deaths involving Pneumonia, with or without COVID-19, excluding Influenza deaths (J12.0–J18.9)2
Deaths involving COVID-19 and Pneumonia, excluding Influenza (U07.1 and J12.0–J18.9)2
All Deaths involving Influenza, with or without COVID-19 or Pneumonia (J09–J11)3
Deaths involving Pneumonia, Influenza, or COVID-19 (U07.1 or J09–J18.9)4
Population5
Total
All ages
421,378
3,509,397
374,722
199,396
8,808
604,353
328,239,523
Under 1 year
44
19,044
205
7
21
263
3,783,052
1–4 years
23
3,470
122
3
59
201
15,793,631
5–14 years
67
5,623
157
13
75
286
40,994,163
15–24 years
601
36,171
759
224
81
1,212
42,687,510
25–34 years
2,677
74,513
2,819
1,206
233
4,506
45,940,321
35–44 years
7,057
106,497
6,519
3,242
354
10,654
41,659,144
45–54 years
19,454
195,929
17,478
9,671
764
27,913
40,874,902
55–64 years
49,131
453,824
47,337
25,289
1,622
72,563
42,448,537
65–74 years
89,896
698,926
84,679
46,749
1,883
129,427
31,483,433
75–84 years
117,104
856,102
105,607
57,895
1,911
166,469
15,969,872
85 years and over
135,324
1,059,298
109,040
55,097
1,805
190,859
6,604,958
Males
All ages
228,825
1,834,618
208,471
114,501
4,551
326,632
161,657,324
Under 1 year
30
10,536
121
5
10
156
1,935,117
1–4 years
14
2,001
58
2
38
108
8,074,090
5–14 years
38
3,351
86
10
37
151
20,941,023
15–24 years
362
26,761
457
131
38
722
21,810,359
25–34 years
1,712
52,565
1,715
748
114
2,782
23,359,180
35–44 years
4,664
69,820
4,039
2,148
185
6,715
20,792,080
45–54 years
13,019
123,007
10,860
6,465
446
17,783
20,171,966
55–64 years
31,466
279,477
28,913
16,102
934
45,048
20,499,219
65–74 years
55,160
406,425
51,278
29,064
1,051
78,239
14,699,579
75–84 years
65,636
446,966
60,374
33,795
962
93,030
6,998,223
85 years and over
56,724
413,709
50,570
26,031
736
81,898
2,376,488
Females
All ages
192,545
1,674,673
166,245
84,890
4,257
277,712
166,582,199
Under 1 year
14
8,475
84
2
11
107
1,847,935
1–4 years
9
1,469
64
1
21
93
7,719,541
5–14 years
29
2,272
71
3
38
135
20,053,140
15–24 years
239
9,408
302
93
43
490
20,877,151
25–34 years
965
21,944
1,104
458
119
1,724
22,581,141
35–44 years
2,393
36,674
2,480
1,094
169
3,939
20,867,064
45–54 years
6,434
72,918
6,617
3,205
318
10,129
20,702,936
55–64 years
17,665
174,339
18,424
9,187
688
27,515
21,949,318
65–74 years
34,734
292,492
33,400
17,684
832
51,186
16,783,854
75–84 years
51,465
409,124
45,230
24,098
949
73,435
8,971,649
85 years and over
78,598
645,558
58,469
29,065
1,069
108,959
4,228,470
NOTE: Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Counts of death occurring before or after the reporting period are not included in the table.
*Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.
1Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.
2Counts of deaths involving pneumonia include pneumonia deaths that also involve COVID-19 and exclude pneumonia deaths involving influenza.
3Counts of deaths involving influenza include deaths with pneumonia or COVID-19 also listed as a cause of death.
Data by race and Hispanic origin are available at the national, state, and county level. Data by race and Hispanic origin is also available by age at the national and state level. Click here to visit the NCHS Health Disparities: Race and Hispanic origin page.
Place of death
Table 2 presents death counts of COVID-19 and other select causes of death by the place of death. For data on place of death at the state level, Click here to download.
Table 2. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by place of death, United States, from 1/1/2020 to 1/30/2021.*
Updated February 3, 2021
Place of death
All Deaths involving COVID-19 (U07.1)1
Deaths from All Causes
Deaths involving Pneumonia, with or without COVID-19, excluding Influenza deaths (J12.0–J18.9)2
Deaths involving COVID-19 and Pneumonia, excluding Influenza (U07.1 and J12.0–J18.9)2
All Deaths involving Influenza, with or without COVID-19 or Pneumonia (J09–J11)3
Total
421,378
3,509,397
374,722
199,396
8,808
Healthcare setting, inpatient
268,953
1,067,282
274,252
159,686
5,553
Healthcare setting, outpatient or emergency room
13,849
208,478
11,407
4,550
374
Healthcare setting, dead on arrival
368
9,837
247
100
17
Decedent’s home
26,696
1,166,864
24,904
6,638
1,684
Hospice facility
12,103
211,375
16,687
5,920
408
Nursing home/long term care facility
90,951
608,845
41,223
20,226
636
Other
8,288
233,472
5,897
2,227
133
Place of death unknown
170
3,244
105
49
3
NOTE: Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the table.
*Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.
1Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.
2Counts of deaths involving pneumonia include pneumonia deaths that also involve COVID-19 and exclude pneumonia deaths involving influenza.3Counts of deaths involving influenza include deaths with pneumonia or COVID-19 also listed as a cause of death.
Comorbidities and other conditions
Table 3 shows the types of health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19). For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions or causes in addition to COVID-19, on average, there were 2.9 additional conditions or causes per death. The number of mentions for each condition or cause is shown for all deaths and by age groups.
Starting December 23, 2020, the data file will also include the number of deaths that mention the listed conditions. The new column, “COVID-19 Deaths” represents the number of deaths that mention one or more of the conditions indicated. The data file’s existing “Number of Mentions” column represents the number of total conditions mentioned for each age group.
For data on the comorbidities and conditions mentioned in COVID-19 deaths, Click here to download.
Table 3. Conditions contributing to deaths involving coronavirus disease 2019 (COVID-19), by age group, United States. Week ending 1/4/2020 to 1/30/2021.*
Updated February 3, 2021
Number of Conditions
Age Group
Conditions Contributing to Deaths where COVID-19 was listed on the death certificate1
NOTE: Number of conditions reported in this table are tabulated from deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period. Data for this table are derived from a cut of the NVSS database taken at a particular time, separate from other surveillance tables on this page which are tabulated on the date of update. As a result, the total number of COVID-19 deaths in this table may not match other surveillance tables on this page.
*Data during the period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more.
1Conditions contributing to the death were identified using the International Classification of Diseases, Tenth Revision (ICD–10). Deaths involving more than one condition (e.g., deaths involving both diabetes and respiratory arrest) were counted in both totals. To avoid counting the same death multiple times, the numbers for different conditions should not be summated.2Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.
This data visualization presents data on weekly counts of all-cause mortality by jurisdiction of occurrence. Counts of deaths in the most recent weeks are compared with historical trends to determine whether the number of deaths in recent weeks is significantly higher than expected.
Yelps and barks of circus seals tenuously balancing sparkling balls adequately but not dangerously ostentatious don’t ruffle the placid master your audience but then don’t underplay even though regulations and conventions dictate a certain humility statutory interpretation on the trapeze act the tumble can be wicked return to delaying promises and options prudently promised optionally false for the survival of the dream bureaucracy depends on that illusion and the salaries of the wizards the silver haired corporate beggars rattle tin cups against the rages of the market discretely of course the pounding on the door louder nespotisticless victims who contemplate the tragedy thought personal yet almost universal
Frustration of a poet who in a narcistic moment might join an advertising agency
Is the poet’s gross national product limited to 87 poems and from that point on clever loquaciousness which for all concerned might better have remained as crumpled balls of paper
The identical airwaves not even blushingly ineptly bilingually majestically Christinacally present 36,000 starving Ethiopians beg sickly bibles hidden struggling with the desire to brandish meanwhile the political arena presents chinless wonders cheered on by fat funeral supplier salesmen with mistresses in mink ex-wife’s in trailer camps all guzzling pilsner dancing to the wrong WASPy beat and bare breasted skeletons sway emaciated and ready to collapse without the $9.99 diet drink the sun gleams off the bones white as miracle toothpaste here in our own tropical destitution the cat ravaged pigeon limps at 30 below the cancer nibbled janitor tosses in his urine soaked bed the woman twitches uncontrollably people attempting not to gawk and the bible failed on them so export it and you tell me it is time to be an optimist well at least the cockroaches agree with a grin you don’t even require a microscope to view
Living a COVID imprisoned life is not exactly pleasant with too many thinking these bloody statistician medicos are heaven sent but the “public service messaging” is beginning to make my mind bent should we not follow your incessant messaging you say we will all be dead by Lent
These public pronouncements quite frankly are excessively irrelevant and boring dear governments with what advertising agency are you whoring?
Tonight a new public service “announcement” as we are all is this together all patriotic bullshit get the Blue Angels soaring overhead because your creativity and compassion has long been dead as you run your numbers my mind sickens and slumbers treating us with your messages like idiotic imbecilic fools you might as well be talking to mules we are getting sick of your repetitive rules you think you are on the side of some sort of divine right I’m going to say FU and throw a big party tonight being sure those next door neighbours are COVID snitches the COVID police will come and cart me away a big fine I’ll pay and you cruel and heartless number crunchers will smile at the yahoo you caught sorry I have put a little upward curve on your graph As me and my Proud Boys will have a laugh while you public health officials will put on candles and have a lonely spa bath
Chile is the sixth largest wine producing country in the world. The average consumption is 17 litres of wine per person.
We start with a Echeverria Gran Reserva Pinot Noir from the Casablanca Valley in Chile. Pinot Noir often is seen as a bit of a cash cow as Europe and North America search for inexpensive Pinot Noirs therefore plantings of it have increased in Chile. It’s reputation is not that hot but there are a few good producers to note. My favourite is Domaine Villard which produces a real whopper.
In this case I would not say the wine has what we might call “classic” Pinot Noir aromas but a reasonable semblance thereof. That’s certainly not fatal but perhaps indicative of a different terroir. There is raspberry, black cherry and perhaps a bit much oak. On the palate low on tannins. And as for fruit some blackberry and raspberry but it lacks intensity. I don’t agree when the label says the wine is rich and elegant. I would say it is thin and lacklustre.
(Echeverria Family Wines Gran Reserva Pinot Noir 2018, Viña Echeverria, Molina, Chile, $15.95, Liquor Control Board of Ontario # 485284, 750 mL, 13.5%, Robert K. Stephen Set The Bar rating 85/100).
Carmenère was thought to be Merlot for some 145 years until DNA established it was in fact Carmenère. It is becoming known as Chile’s signature grape as Malbec is for Argentina. The word Carmenère comes from the Latin carmin (crimson) which is the colour of the leaves at harvest time. This one comes from Viña San Pedro.
The nose is full of big fat and ripe black cherry along with hints of blackberry and cedar. On the palate noticeable tannins. There is black cherry, plum and raisin pie as well. I wouldn’t say that there is much complexity in the palate. I notice good minerality and earthiness to the wine. A good simple wine great with a platter of grilled meats or grilled flank steak with chimichurri sauce! I would bet it will improve in the next 3-4 years.
(1865 Selected Vineyards, Carmenére 2018, D.O. Valle Del Maule, Viña San Pedro, Molina, Chile, $19.95, Liquor Control Board of Ontario # 249201, 750 mL, 14.5%, Robert K. Stephen Set The Bar Rating 91/100).
We finish off with a Viu Manent Gran Reserva Cabernet Sauvignon from the Colchagua Valley and for a bargain price of $16.95. But is it any good?
On the nose blueberry leads the charge but there is black cherry and blackberry. In comparison to Australia and Californian Cabs this wine is far more guarded. It was aged in French oak for 12 months but any detection of oak is difficult which indicates the oak barrels were old oak and subject to previous fills.
On the palate moderate and fleeting tannins. The fruit is tightly wrapped but tear the paper, so as to speak, and there is some black cherry and a tad of chocolate. On the palate I would say I am disappointed as the fruit seems imprisoned. I mean it is well made and balanced but it simply lacks the stuffing a little more fruit on the plate might give it. I reminds me of an Ontario Cabernet Sauvignon which generally speaking is nothing to be proud of.
(Viu Manet Gran Reserva Cabernet Sauvignon 2018 Valle de Colchagua, Viña Viu Manet, Santa Cruz, Chile, $16.95, Liquor Control Board of Ontario # 569673, 750 mL, 13.5%, Robert K. Stephen Set The Bar Rating 85/100).
Two sisters some 40 years ago a purchase by mother and father of a gleaming red tricycle for the Other with the victim despite salty semi-professional whining receiving nothing as parental government doles out it favouritism contracting with the grey matter commandant to supervise the laying of the barbed wire and land mines against Viennese schooled underground fighters who tack exit lights in the surrounding woods once a week for thirty minutes
Chapter 49 “so what did we learn from all these plagues? Information or propaganda?”
Repeat a message incessantly whatever its intent then at some point it becomes propaganda. We think of propaganda as a necessary tool of dictatorships that think they can maintain power through the use of propaganda. However, it is used in democratic countries in times of a crisis. Look at all the propaganda spewed out by the Allied countries during the two World Wars. Posters, music, movies and speeches to name a few modes of its delivery. Even old John Wayne in the “Green Berets” carried on the propaganda tradition into the Vietnam War.
In the plagues particularly the COVIDs when money was plentiful governments became best friends with the advertising industry with 24 hours a day “advertising” “public health” announcements. The media rather played along singing the same old tunes about social distancing, wearing face masks, hand washing and the idolatry of “front line workers”. I am a physician and a front-line worker but the sappy media segments made me gag and then made me angry. Why weren’t I or other front-line workers paid for the risks we were taking. Why did it take so long for the governments of the world and corporations to jack up the pay for front-line workers? Why did hazard pay for grocery store workers terminate in the midst of the pandemics? Where was the life insurance, short term disability and long-term disability offered to front-line workers who did not have that benefit? This is the reason dear readers I became angry with the maudlin features by the media about front-line workers. Quite frankly why didn’t society demand front-line workers be treated like real heroes instead of being used as propaganda to shame the public into compliance with the governmental messaging?
I recall one day driving into work listening to my favourite classical music station and the announcer drivelled on about staying calm and moving on and how we will all get this through this together. I just snapped and started swearing and insulting this clown. I was furious at the never-ending platitudes about this pandemic. I’ll stop here before I get into a rage.
Did this propaganda work? Sadly it did. I say sadly because I am disappointed so many people sucked it up with a happy glazed smile on their face. However a small group of intellectuals and right wing open carry Yanks didn’t buy in. What an unholy alliance. And then not to bash the Millennials but they would rather drink and party on the beach and in the park super spreading themselves and their family to death. I suppose their sadly lacking college education, nose rings and tattoos somehow imparted an above it all attitude until of course their March Break and Memorial Day antics ended up killing the boozed-up segment of Millennials. This Bud is for you.
Canada is gravely concerned with evidence and reports of human rights violations in the People’s Republic of China against members of the Uyghur ethnic minority and other minorities. These violations include repressive surveillance, mass arbitrary detention, torture and mistreatment, forced labour within the Xinjiang Uyghur Autonomous Region (Xinjiang), and mass transfers of forced labourers from Xinjiang to provinces across China.
In coordination with international partners, Canada is adopting a comprehensive approach to defending the rights of Uyghurs and advancing measures to address the risk that goods from any country produced using forced labour from any country enter Canadian and global supply chains. This approach includes the following measures:
Prohibition of imports of goods produced wholly or in part by forced labour
Effective July 1st, 2020, the Customs Tariff Act and the Schedule to the Customs Tariff were amended to include a prohibition on the importation of goods from any country that are produced wholly or in part by forced labour. This legislation provides a basis for enforcement against goods produced by forced labour originating in or transferred from Xinjiang. This amendment enshrines in legislation the labour obligations that Canada signed on to as part of CUSMA, which apply to imports from all countries.
Xinjiang Integrity Declaration for clients
Canadian companies that are 1) sourcing directly or indirectly from Xinjiang or from entities relying on Uyghur labour, 2) established in Xinjiang, or 3) seeking to engage in the Xinjiang market, will be required to sign a declaration when engaging with the Trade Commissioner Service, beyond receiving a briefing about the risks of doing business in this market. The declaration acknowledges that the company: is aware of the human rights situation in Xinjiang; abides by all relevant Canadian and International laws, respects human rights, and seeks to meet or exceed OECD Guidelines for Multinational Enterprises and the UN Guiding Principles for Business and Human Rights.
Companies are required to affirm that they are not knowingly sourcing products or services from a supplier implicated in forced labour or other human rights violations and committing to conduct due diligence on their suppliers in China to ensure there are no such linkages.
Not collaborating in good faith could result in the withdrawal of trade advocacy support and future Export Development Canada financial support.
Business Advisory on doing business with Xinjiang-related entities
Global Affairs Canada issued a business advisory to caution Canadian businesses about the risks of supply chain exposure to entities that engage in human rights abuses, including forced labour in Xinjiang and involving Uyghur ethnic minorities, with a view to helping Canadian firms to understand the legal and reputational risks posed to companies whose supply chains rely on doing business with entities possibly implicated in forced labour. While these risks are not limited to Xinjiang or China, the Canadian Government considers that risks are higher in Xinjiang given conclusive evidence of human rights violations.
Enhanced advice to Canadian businesses
The Trade Commissioner Service is working with partners and private sector stakeholders to assist clients by providing enhanced advice on due diligence and risk mitigation related to supply chains and forced labour. Since July 2020 new guidelines have been shared across the Trade Commissioner Service network regarding the specific risks that Canadian firms operating in and doing business with China should carefully consider.
Export controls
In accordance with the Export and Import Permits Act, Canada will deny export permits if determined that there is a substantial risk that the export would result in a serious violation of human rights or international human rights law, including serious acts of gender-based violence. Particular scrutiny will apply to exports of advanced Canadian technology and services that could be misused or diverted towards government surveillance, repression, arbitrary detention or forced labour, in light of the evolving situation in the Xinjiang Uyghur Autonomous region.
Increase Responsible Business Conduct awareness linked to Xinjiang
Global Affairs Canada will convene discussions with businesses and nongovernmental organizations to raise awareness about the risks of doing business in Xinjiang, with a specific focus on ensuring the integrity of their supply-chain so they operate in accordance to relevant laws and ethical standards.
Study on forced labour and supply chain risks
Global Affairs Canada is seeking a comprehensive third-party analysis of areas of exposure to forced labour involving Uyghurs. This analysis is intended to contribute to the body of knowledge on these issues, with a view to providing Canadian companies with further advice on the risks of doing business in the region, supporting deliberations and decision-making and helping Canadian organizations to act against human rights violations.
Table 1. Deaths involving coronavirus disease 2019 (COVID-19), pneumonia, and influenza reported to NCHS by sex and age group, United States, from 1/1/2020 to 1/30/2021.*
A Bird's Eye View of Fashion, Food, Travel, Culture, Beverage and Curiosity 