Department of Numbers

New York COVID-19 Case and Testing Statistics

As of Friday April 03 2020, New York had 102,863 cases of COVID-19. Over the past week, New York was finding 8,318 new cases per day on average and recording 345.1 deaths per day. Data for New York is provided by the COVID Tracking Project and will be updated daily. The COVID Tracking Project gives New York a data quality grade of: A

Compare New York COVID-19 data to other states.

New York average daily new cases

The chart below shows the trend of new case discovery for New York. Flattening the curve of new daily cases will help alleviate the burden on hospitals and healthcare workers and help ensure that patients that need critical care can get it.

Note: If testing is insufficient the above curve will underrepresent true case discovery. Nationwide daily testing per million residents is currently 336.1. Reported New York testing per million residents per day is 919.8.

New York average daily deaths

Deaths from COVID-19 are likely better reported than the true number of positive cases. As a result, the trend in average daily deaths from COVID-19 might be a more telling measure of progression through the outbreak than daily average positive cases.

Statistics for positive cases of COVID-19 in New York

Total Cases and Total Cases per 1M residents are cumulative counts. Daily Positive measures are rolling 7 day averages.

Date Total
Cases
Total
Cases
per 1M
Daily
Positives
(7d Avg)
Daily
Positives
per 1M
(7d Avg)
04/03/20 102,863 5,288 8,318 427.6
04/02/20 92,381 4,749 7,875 404.8
04/01/20 83,712 4,303 7,557 388.5
03/31/20 75,795 3,896 7,161 368.1
03/30/20 66,497 3,418 6,517 335.0
03/29/20 59,513 3,059 6,335 325.6
03/28/20 52,318 2,689 5,995 308.1
03/27/20 44,635 2,294 5,362 275.6
03/26/20 37,258 1,915 4,729 243.1
03/25/20 30,811 1,584 4,061 208.8
03/24/20 25,665 1,319 3,424 176.0
03/23/20 20,875 1,073 2,846 146.3
03/22/20 15,168 780 2,063 106.0
03/21/20 10,356 532 1,405 72.2
03/20/20 7,102 365 954 49.1

more history ...

Death statistics for COVID-19 in New York

Total Deaths and Total Deaths per 1M residents are cumulative counts. Daily Death measures are rolling 7 day averages.

Date Total
Deaths
Total
Deaths
per 1M
Daily
Deaths
(7d Avg)
Daily
Deaths
per 1M
(7d Avg)
04/03/20 2,935 150.9 345.1 17.7
04/02/20 2,373 122.0 284.0 14.6
04/01/20 1,941 99.8 236.6 12.2
03/31/20 1,550 79.7 191.4 9.8
03/30/20 1,218 62.6 157.7 8.1
03/29/20 965 49.6 121.6 6.2
03/28/20 728 37.4 97.7 5.0
03/27/20 519 26.7 69.1 3.5
03/26/20 385 19.8 53.3 2.7
03/25/20 285 14.7 39.0 2.0
03/24/20 210 10.8 29.0 1.5
03/23/20 114 5.9 15.3 0.8
03/22/20 114 5.9 15.9 0.8
03/21/20 44 2.3 6.3 0.3
03/20/20 35 1.8 5.0 0.3

more history ...

COVID-19 testing statistics in New York

All measures below are rolling 7 day averages except Total Tests and Total Tests per 1M residents which are cumulative counts of COVID-19 tests as of the date reported. Testing statistics are dependent on high quality reporting of negative test results by states. I'm only showing this data for states that don't have implausibly low testing rates and that have an A reporting grade from the COVID Tracking Project.

Date Total
Tests
Total
Tests
per 1M
Daily
Tests
(7d Avg)
Daily
Tests
per 1M
(7d Avg)
Daily
Positive
Rate
(7d Avg)
04/03/20 271,002 13,931 17,893 920 46.5%
04/02/20 238,965 12,284 16,694 858 47.2%
04/01/20 220,880 11,354 16,772 862 45.1%
03/31/20 205,186 10,547 16,274 837 44.0%
03/30/20 186,468 9,585 15,454 794 42.2%
03/29/20 172,360 8,860 15,851 815 40.0%
03/28/20 155,934 8,016 15,785 811 38.0%
03/27/20 145,753 7,492 16,189 832 33.1%
03/26/20 122,104 6,277 14,260 733 33.2%
03/25/20 103,479 5,319 12,697 653 32.0%
03/24/20 91,270 4,692 12,009 617 28.5%
03/23/20 78,289 4,024 10,399 535 27.4%
03/22/20 61,401 3,156 8,018 412 25.7%
03/21/20 45,437 2,336 6,019 309 23.3%
03/20/20 32,427 1,667 4,175 215 22.9%

more history ...

A final word on this analysis

In order to manage the outbreak, states need to increase their testing capacity. As testing increases, the number of detections as a fraction of total tests (positive rate) should hopefully decrease over time. If a state is able to test widely enough (at least 300 tests daily per million residents, probably more) to drive the positive rate down (less than 5%) there may be the potential to manage a regional outbreak with isolation, contact tracing and quarantine South Korea has.

Please take my calculations and amatuer epidemiological speculations with a huge grain of salt as I'm moving quickly to get what I hope are meaningful measures online. There may be errors in my data and my thinking!

These statistics were inspired by posts on Calculated Risk and the Bondad Blog regarding metrics to track for COVID-19.

Last but not least, thanks to the folks at COVID Tracking Project for making this data available to everyone.