Deaths By Age

Exploratory Data Analysis

Of those that DIED post vaccination, what is the Age distribution?   

Field Analysis of AGE_YRS and DIED in the Table VAERSDATA:


use VAERS_2019
go

Select Count (DIED) Cnt_DIED
, Count (AGE_YRS) Cnt_AGE_YRS
, Count (
         case when [DIED] is NOT NULL
         and [AGE_YRS] is NOT NULL
         then
           1
         else
           NULL
         end ) Cnt_AGE_YRS_And_DIED
, count(*) Count
from dbo.[VAERSDATA]
go

Cnt_DIEDCnt_AGE_YRSCnt_AGE_YRS_And_DIEDCount
8,150623,4506,301759,483

Of the 759,483 rows in VAERSDATA

8,150 rows have the DIED field populated
623,450 rows have AGE_YRS field populated

6,301 rows have both the DIED and AGE_YRS fields populated

Percent of all rows in VAERSDATA with both fields populated:
= 6,301 / 759,483
= .83% of all rows in VAERSDATA

Analysis of the Field AGE_YRS:

The field, AGE_YRS, used for this query has been rounded up or down accordingly.

Please see:
Create table AD_2019_AGE_YRS_ROUND

DIED By Age:


select YRS.AGE_YRS_ROUND
, COUNT(*) Count
from dbo.[VAERSDATA]  V
join dbo.[AD_2019_AGE_YRS_ROUND]  YRS
     on V.VAERS_ID = YRS.VAERS_ID
where DIED is NOT NULL
and   YRS.AGE_YRS_ROUND is NOT NULL
Group BY YRS.AGE_YRS_ROUND
order by 1

AGE_YRS_ROUNDCountPercent WeightPercent Running Total
02,73243.358243.3582
185513.569356.9275
22323.682060.6094
3691.095161.7045
456.888762.5932
545.714263.3074
631.492063.7994
727.428564.2279
819.301564.5294
920.317464.8468
1021.333365.1801
1137.587265.7673
1245.714266.4815
1335.555567.0370
1440.634867.6718
1543.682468.3542
1630.476168.8303
1729.460269.2906
1845.714270.0048
1925.396870.4015
2025.396870.7983
2118.285771.0840
2217.269871.3538
2320.317471.6712
2415.238171.9092
2512.190472.0997
2612.190472.2901
2711.174672.4647
2810.158772.6234
298.127072.7504
308.127072.8773
3111.174673.0519
3212.190473.2423
337.111173.3534
3410.158773.5121
359.142873.6550
3613.206373.8613
3711.174674.0359
389.142874.1787
399.142874.3215
4013.206374.5279
4113.206374.7342
4220.317475.0516
4315.238175.2896
4411.174675.4642
4518.285775.7499
4616.253976.0038
4719.301576.3053
4813.206376.5117
4923.365076.8767
5023.365077.2417
519.142877.3845
5214.222277.6067
5331.492078.0987
5413.206378.3050
5524.380978.6859
5624.380979.0668
5719.301579.3684
5816.253979.6223
5925.396880.0190
6031.492080.5110
6126.412680.9237
6235.555581.4791
6328.444481.9235
6425.396882.3203
6541.650782.9710
6629.460283.4312
6742.666684.0978
6843.682484.7802
6933.523785.3039
7057.904686.2085
7134.539686.7481
7227.428587.1766
7352.825388.0019
7439.618988.6209
7556.888789.5096
7641.650790.1603
7744.698390.8586
7845.714291.5728
7957.904692.4774
8054.857093.3344
8132.507993.8422
8238.603194.4453
8332.507994.9532
8431.492095.4452
8535.555596.0006
8634.539696.5402
8739.618997.1592
8825.396897.5559
8921.333397.8892
9027.428598.3177
9116.253998.5717
9219.301598.8732
938.127099.0002
9423.365099.3652
9515.238199.6032
964.063599.6667
976.095299.7619
985.079499.8413
993.047699.8889
1005.079499.9683
1021.015999.9841
1041.0159100
    
Total6,301  
Rows103 

103 rows

Analysis:

n=6,301

All data
All years, 1990 to early 2020

43.3% of all deaths, are infants, .49 years of age or less
13.5% of all deaths, are children, .5 to 1.49 years of age
3.6% of all deaths, are children, 1.5 to 2.49 years of age

Only the ages 0, 1, and 2 count more than 100 deaths, 3 figures.

All other ages have 1 or 2 figure counts, 99 or less.

56.9% of all deaths post vaccination, are of infants, 1.49 years of age, or less.

60.6% of all deaths post vaccination, are of infants, 2.49 years of age, or less.

The remaining ~40% of all deaths, are distributed in the other 100 rows, with ages going from 3 (2.5 to 3.49 rounded) up to 104.

 

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