All charts and tables below reflect the data release on 10/29/2021 from the VAERS website, which includes U.S. and foreign data, and is updated through: 10/22/2021
High-Level SummaryCOVID19 vaccines (Dec’2020 – present)All other vaccines 1990-present US Data Only
COVID19 vaccines (Dec’2020 – present)
US Data Only
All other vaccines 1990-present
Number of Adverse Reactions856,919845,019634,609741,881
Number of Life-Threatening Events20,110 13,8009,7269,795
Number of Hospitalizations88,91079,51938,81838,476
Number of Deaths18,078* 9,2158,2845,178
# of Permanent Disabilities after vaccination28,112 19,9299,58012,615
Number of Office Visits133,972 46,456121,10044,979
# of Emergency Room/Department Visits95,898211,09079,615202,004
# of Birth Defects after vaccination 610 15336397
*Note that the total number of deaths associated with the COVID-19 vaccines is greater than the number of deaths associated with all other vaccines combined since the year 1990.

Deaths

[Note that the single counts before 2020-11-29 are due to incorrect date data in the VAERS system]


[Note that COVID19 counts for years before 2020 are due to incorrect date data in the VAERS system (including 1 not pictured due to date in 1921)]


[1 COVID19 record not pictured due to incorrect date in 1921]


Chart using comparable 9 month periods, since Covid-19 vaccines have only been available for approximately 9 months:


Adverse Events


Note that 944 records for COVID19 were scattered throughout years earlier than 2020 due to incorrect date data in the VAERS system]

Chart using comparable 9 month periods, since Covid-19 vaccines have only been available for approximately 9 months:

[Note that 1916 records for COVID19 were scattered throughout periods earlier than Dec’20-Sep’21 due to incorrect date data in the VAERS system]



Symptoms

The slide below was taken from an FDA document from October 22, 2020 and provides a list of possible adverse event outcomes related to the Covid-19 vaccines.

The following table lists the number of adverse events found in the VAERS data which match the outcomes listed above:

FDA Listed SymptomTotal (Non-Lethal) Adverse EventsTotal Deaths
Guillain-Barre159228
Acute Disseminated Encephalomyelitis1103
Transverse Myelitis2831
Encephalitis1312125
Convulsions/Seizures10849321
Stroke10175942
Narcolepsy, Cataplexy2104
Anaphylaxis37894150
Acute Myocardial Infarction (Heart Attack)2918916
Myocarditis/Pericarditis9922123
Autoimmune Disease89118
Other Acute Demyelinating Diseases2092
Pregnancy and birth outcomes (Miscarriages)258977
Other Allergic Reactions16393
Thrombocytopenia3551271
Disseminated Intravascular Coagulation15645
Venous Thromboembolism15667875
Arthritis and Arthralgia/Joint Pain56487170
Kawasaki Disease361
Systemic Inflammatory Response Syndrome48435

Vaccination Related Risks of COVID19 Vs. Flu

These set of figures compare the COVID19 vaccine to the traditional Flu vaccines.  ‘Risk of Death’ percentages depend on the ‘# of Vaccinations’ data, which is only approximate, and was pulled from the CDC’s report on Flu vaccination coverage for the 2019-2020 season, and from Our World in Data for the COVID19 vaccinations.

Covid19 vaccinations through 5/31/2021 vs. Flu vaccinations 7/1/2019 – 5/31/2020 (last complete flu season)

Vaccine Type# of Vaccinations[3] # of DeathsRisk of DeathPercentageDeaths/Mill.
Vaccinations[3]
Flu167,447,642[1]321 in 5,232,7390.000019%.19
COVID19167,733,972[2]5,5061 in 30,4630.003283%32.83
Risk of dying from COVID vaccine is 171.8 times greater than Flu Vaccine
Vaccine Type# of Vaccinations[3]# of Adverse Reactions Risk of Adverse Reaction PercentageAEs/Mill.
Vaccinations[3]
Flu167,447,6429,7041 in 17,2560.005795%57.95
COVID19167,733,9725120,4141 in 3220.3103%3,103
Risk of adverse reaction from COVID vaccine is 53.5 times greater than Flu Vaccine

[1] number of flu vaccinations based on estimated flu vaccine coverage data from CDC and estimated population data from US Census. Yearly flu vaccination data covers a period of time from 7/1 to 5/31 of the following year.
[2] number of covid19 vaccinations based on estimates from Our World in Data [2] number of covid19 vaccinations based on estimates from Our World in Data
[3] Persons vaccinated with at least one dose.


Vaccine Data by Manufacturer

Manufacturer# of Deaths% DeathsAverage Deaths/Day# US DeathsUS Doses AdministeredAverage US Deaths/Mill. DosesDays since EUA approvalEUA Approval Date-
Janssen (JNJ)1435  7.93%  5.86 92015,774,84658.322452/26/2021
Moderna443124.5%14.073532161,206,88121.9131512/18/2020
Pfizer/Biontech1215867.22%37.763802249,302,52215.2532212/11/2020
Unknown  64  0.35% 37443,843
Manufacturer# of AEs% AEsAverage AEs/Day# US AEsUS Doses AdministeredAverage US AEs/Mill. DosesDays since EUA approvalEUA Approval Date
Janssen (JNJ) 654447.63%267.12 5763015,774,846 3653.282452/26/2021
Moderna32265537.6%1024.3293856161,206,881 1822.8531512/18/2020
Pfizer/Biontech46821754.56%1454.09282753249,302,522 1134.1832212/11/2020
Unknown 1831 0.21% 1429443,843

Vaccine Data by Gender


Vaccine Data by Location

Sources

  1. Vaccine data (Covid-19 and other vaccines) taken from CDC’s VAERS website, located here: https://vaers.hhs.gov/data/datasets.html.  VAERS data sets in the form of csv files are pulled down weekly and put into a database for reporting/analysis. Data files are available all the way back to 1990.
  2. Number of doses distributed for other vaccines found in NVICP Data and Statistics report here: https://www.hrsa.gov/sites/default/files/hrsa/vaccine-compensation/data/data-statistics-report.pdf
  3. Numbers for Covid-19 vaccines administered by manufacturer found here: https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-total-admin-rate-total
  4. Numbers for total Covid-19 vaccine doses administered found here: https://data.cdc.gov/Vaccinations/COVID-19-Vaccination-Trends-in-the-United-States-N/rh2h-3yt2
  5. Numbers for Flu vaccine doses administered for 2019-2020 season found here: https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm
30 thoughts on “VAERS Summary for COVID-19 Vaccines through 10/29/2021”
      1. Thank you so very much Wayne, i will share on my twitter account as much as possible though i do not have many subscribers. Thank you for your work.

        As a side, since i am a linguist of accurate, correct, precise sound intelligent English (meaning not hijacked and destroyed and being destroyed by the leftist ideology), the word is sex not gender in those graphs, sigh, makes me go nuts as an Orwellite language custodian and purist;

        *“If thought corrupts language, language can also corrupt thought. A bad usage can spread by tradition and imitation even among people who should and do know better.” * —- Cultural Marxism a.k.a. political correctness is indisputably intellectual colonialism and mental fascism for the gendering of “thought-crime.”

  1. I was looking for data which was not written in Hegelian dialectic cryptology. The medical community is taking unto itself extreme damage to its reputation by reporting manipulated falsehood and by mandating nurses not to report adverse reactions in VAERs.
    Your data is validated by the data I have analyzed from the state of Georgia, especially the fact that the vaccine adverse effects, especially deaths is far more prevalent in those 65 and older than the remainder of the population. This is concerning to me as we now know the NiH had a hand in gain of function research at the Wuhan lab, the epicenter of the virus release.
    Data tells a story, and the obvious story unfolding here is that the virus and the vaccine, both have a much higher result of mortality in the elderly (65 +) than the remainder of the population combined. Statistically, it would be near impossible for such conditions without intervention.

    Get ready, for there is no doubt that during these current trials relative to vaccine mandates, both yourself and your data will become involved at some point. Don’t be afraid of such intervention, I think the jury will be very open to the results of your analysis, because its genuine. Personal attacks against your credibility will occur in court however, they only serve to shore up your analysis, as those types of attacks appear in court to be extreme in partiality and egregious in intent to the jury.

    Thanks for all your hard work, I for one am well aware of how time consuming and difficult such statistical analysis can be, however, please by all means keep this up…. Americans and others around the world need this data. They need to know the truth no mater pretty or ugly such truth might be… Further, if you need financial assistance to maintain this data, by all means put together a go fund me request…. Maybe as one alone we are not wealthy but as 100m we can prove to be quite wealthy.
    I will no doubt be spreading this among all of my contacts and associations.

  2. What’s the percentage of AE? Under Vaccine Data manufacturer? 7% Jansen 37% Modena 56% Pfizer
    That seems extremely high number

  3. […] The graph below traces the number of deaths that have been reported to VAERS every year since its inception. As you can see, the yearly levels have held relatively steady from 1990 until 2020 and were generally under 400 cases. The cumulative total of all reported deaths during those years comes to 5,178 (see VAERS analysis here). […]

  4. […] The graph below traces the number of deaths that have been reported to VAERS every year since its inception. As you can see, the yearly levels have held relatively steady from 1990 until 2020 and were generally under 400 cases. The cumulative total of all reported deaths during those years comes to 5,178 (see VAERS analysis here). […]

  5. Thank you, WayneTheDBA for ur statically analysis on the association between deaths and COVID vaccine. Although VAERS does NOT demonstrate a direct cause and effect, but it is an early/preliminary alarm system to warn there IS a POSSIBLE direct cause and effect that needs immediate attention and analysis by the CDC and governmental entities that is suppose to protect its citizens given such large alarming numbers.
    We the people threaten by COVID and it’s non-stopping new variants need hope. Can you be known in the future history books as one of our saviors by doing a statistical analysis if level 3 mask (or higher) can REDUCE (not 100% prevent) the chance of catching COVID???
    Thank you, Doc Peter

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