This map was helpful to gain some perspective. For those who don’t know New York City, there are five boroughs (Manhattan, Brooklyn, Bronx, Queens, and Staten Island) in a city with over 8 million in population. NYC metropolitan population (including New Jersey, Connecticut, and Long Island) is about 20 million.
Map: Govt of NYC, via Daily Mail
The red and deeper orange areas on the map represent the highest clusters of positive tests (via Govt of NYC map), and you can see this mostly in Brooklyn (left center), and Queens (right center), the two most densely populated boroughs in New York City.
At the top of the NYC map is ‘The Bronx’ with a concentration or deeper orange, while Manhattan (center left) isn’t as critical, except for parts of Harlem, Chelsea and Washington Heights. Staten Island (lower left) isn’t that bad either. Clearly NYC has a Coronavirus problem, as does New Jersey (mostly Bergen County), just across the Hudson River, where people commute by rail, and bus.
In Bergen County, New Jersey, the three cities that seem to be most impacted are Hackensack, Englewood and Teaneck, all near each other, and again more populated urban residential areas; but a lot of Northern NJ is like that anyway.
What’s interesting to me, is again, the highest cluster of cases are in the most densely populated areas of New York City, but here, both Brooklyn and Queens also have the largest senior population in all of New York City.
And these neighborhoods are often heavy residential, with lots of larger apartment buildings, or housing projects. When people think of New York City, they often think of the skyline in Manhattan, but the Coronavirus epicenter of NYC is across the bridges and tunnels into neighborhoods people don’t hear about as often, or even know about.
At the continual risk of being wrong, I just don’t see high NYC case #’s occurring in too many other places around the nation, unless in densely populated big city areas.
But Brooklyn and Queens are a problem, and New York City is approaching an Italy style surge of death rates.