COVID-19: Is your state getting better? Essential Metrics
and Graphs

Is your state getting better?

Is your state on this critical corona virus warning list?
→ Hint: it's NOT the list you're seeing in the news.

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Some interesting sets:

Sturgis COVID stats: Idaho, Iowa, Montana, Nebraska, Nevada, North Dakota, Wisconsin, Wyoming


More, easier to use, data in one place

We provide most of the data you see at other sites, paired with population and political data. Our user interface lets you see just the states you want, and easily toggle between groups of states. And, you can share link that will load the states you are viewing so others can see what you are seeing.

Per capita data - Removes the effect of population.

Let's you compare big states with small. As states take different approaches to quarantine, it is important to see the impact of those changes. The charts show data per 100k people.

Performance Sets and Political Filters - Winners and Losers, Red and Blue

In addition to picking and comparing states as desired, you may load various sets of states based on Performance, Winners/Losers, Best/Worst or Political leanings Red/Blue/Purple.

Political Filters!
Set Graph Start Date
Show % Positives table on YOUR site
Hot TIP: Bookmark your state!
Why? Why, another COVID data page?

The Data - Basic Page - (for more complex data go to our Advanced Page)
( All line graphs smoothed using a -day time average)

loading data - It's fresh out of the oven! Be patient!- loading data
Click a filter then click a set or select specific states: click in the field and start typing state name or abbreviation. Click matching items to add to the list.

Viewing custom selection. Click filter, above, to view calculated sets.
Political entities:

Matches Red/Blue in:

Load states:
Select Political Entities.
% Positives:

Percent Positives - Daily

Down is good. This section shows the percentage of new tests that are positive. THIS IS THE IMPORTANT NUMBER because it most directly indicates the actual rate of change in INFECTIONS, rather than cases.

Percent Positive Tests < 5% for at least a week is one requirement cited by some authorities for reducing quarantine restrictions.
Positive Tests (%)

Cases - Daily / 100k

Not a good indicator! These are the new cases reported daily per 100k population.

What's wrong with this metric? A state can make horrible Case numbers look good by doing less testing! Also, it punishes good policies, e.g. more testing, by making Case numbers look worse.

How? Say 40% the population has C-19, and we do 20 tests today. Then, we will get 8 New Cases today (40% of 20 tests). Now, say infection goes up to 50%, but we only do 10 tests today. Then we will get 5 New Cases today (50% of 10 tests). The infection rate is rising, but the New Cases NUMBER (which is the one we see the most in the news) has dropped by a lot, because testing has dropped a lot.

Percent Positives, would say we had 40% yesterday, and 50% today, so infection is going up. Period.

See Percent Positives above for a better indicator of infection rates. Deaths and Hospitalizations are also a better indicator of infection, than "cases".
Cases / 100k

Hospitalizations - Daily / 100k

Down is good. This shows the daily change in hospitalizations per 100k population. Hospitalizations data from many states is very low quality, with many states reporting irregularly, and some states not at all. This results in weird looking graphs, but you can get the gist for most states.
Hospitalizations / 100k

Deaths - Daily / 100k

Down is good. In conjunction with the other metrics, this can give an indication of how well a state's healthcare community is coping with the case load.
Deaths / 100k

Tests - Daily / 100k

Up is good. If the daily Cases graph is climbing, check here to see if the Tests is also climbing. If so, then the increase in cases may reflect more existing infections being detected, and not an increase in infection. Conversely, if a state is a "New Case Winner", but their testing is going down, they may just have infections that are not being counted.
Tests / 100k

Cases - Cumulative / 100k

Flat is good. If the curve was steep and is now leveling that is good. If it has been shallow or level and is now climbing, that may not be good depending on the testing rate.

*Raw data on which this page is based is pulled, real-time, from The COVID Tracking Project API created by The Atlantic Monthly and provided under a Creative Commons CC BY-NC-4.0 license.
Tables, charts and additional processing of data provided by The Last Lemming, a division of CamRock Interactive, Inc.
Page refreshed at 04:24:45 on 03/05/2021

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