Latino Communities Taking the Lead in COVID-19 Rate of Growth

Fastest Growing Zip Codes with more than 100 confirmed Coronavirus cases

The fastest growing zip code with more than 100 confirmed positive diagnosis for COVID-19 is 60632. Brighton Park is the Chicago Community just East of Chicago Midway Airport. 88% of the population in this Zip Code is Latino. The runner up, 60608 which includes the Pilsen neighborhood and has just over 50% of the population identified as Hispanic or Latino. In third place is 60804 which is Cicero’s Zip Code. 60804 is 85% Hispanic of Latino.

State RankingZip Code4/8/204/9/20Net Change
160632, (East of Midway) Chicago, IL9211019.6%
260608, (Pilsen) Chicago, IL15818718.4%
360804 Cicero, IL12014218.3%
4600168610016.3%
56062316318815.3%
6606169210615.2%
76062415117113.2%
86061411412913.2%
96061215617612.8%
106065115717712.7%

See the latest rankings for all of Illinois

Top 10 Illinois Zip Codes with Largest Confirmed Corona Positive Cases

The Illinois Department of Public Health has begun publishing zip code level Coronavirus / COVID-19 Confirmed Positive cases. This data was captured as of 4/8/2020 4:15PM from http://www.dph.illinois.gov/covid19/covid19-statistics

The top 10 Zip Codes in Illinois reporting the highest number of Coronavirus / COVID-19 Confirmed Positive Cases

Top Cook County Locations Where Coronavirus / COVID-19 Confirmed Cases have been reported.
Zip CodePositive CasesCity – Neighborhood – CountyPeople per sq mile% of Population in Zip Code Black
60645272Chicago – West Ridge – (Cook)20,05514%
60620269Chicago – Auburn Gresham – (Cook)10,19198%
60619238Chicago – Chatham – (Cook)10,60197%
60628229Chicago – Roseland – (Cook)6,61295%
60617209South Chicago – (Cook)6,07056%
60644184Chicago – Austin – (Cook)13,88594%
60085178Waukegan – (Lake)4,79119%
60643178Beverly – (Cook)6,80075%
60623163Chicago – South Lawndale (Cook)17,19633%
60629162Chicago – Chicago Lawn (Cook)16,72623%
Six out of the top ten zip codes in Illinois with the highest total confirmed Coronavirus confirmed positive cases are majority black / African American population centers. Income, population, density and race appear to be factors in test positive rates. Incarceration rates by zip code we plan to look into as well to see if there appears to be a correlation. African Americans make up a disproportionate part of the prison population. This seems to be impacting them at a much higher rate.

Waukegan may be higher due to it being home to Abbott Laboratories which recently reported availability of Coronavirus rapid 5 minute test units.

Social Distancing Photos in Hot Zones

60644 Chicago Austin Photo Taken @ 4/9/20 9:30AM

60628 Chicago 100 W. 95th @ 4/9/20 10:30AM

60620, Family Dollar, 7927 S Ashland Ave, Chicago, IL 60620 @ 4/9:20 10:30AM

60620 Home Depot taking appropriate measures 200-232 W 87th St Chicago, IL 60620

State Ranking Coronavirus / COVID-19 Zip Codes reporting more than 5 Confirmed Positives as of 4/9/20

State RankingZip Code4/8/204/9/20Net Change
1606202692928.6%
2606452722854.8%
36061923826511.3%
4606282292383.9%
5606172092268.1%
66064418420410.9%
76008517819610.1%
8606431781927.9%
96062316318815.3%
106060815818718.4%
116062916218111.7%
126065115717712.7%
136061215617612.8%
146062415117113.2%
15604111581686.3%
166063914616211.0%
176064914716210.2%
18606341361499.6%
19606181351425.2%
206080412014218.3%
21606371241369.7%
22606591321341.5%
23606251281333.9%
246063611713011.1%
256061411412913.2%
26606571201243.3%
27604021151237.0%
286062211012311.8%
296046611012210.9%
30606521161214.3%
316065310811910.2%
326060910311410.7%
33606131071146.5%
34604431011119.9%
35606329211019.6%
36606151091090.0%
3760638991089.1%
38606401011075.9%
39606169210615.2%
40604099410410.6%
4160076961026.3%
4260435981024.1%
4360025971014.1%
4460104921019.8%
45600168610016.3%
4660901921008.7%
476062694984.3%
486045388969.1%
4960621849614.3%
5060473839413.3%
516064788935.7%
526052786904.7%
536007781888.6%
5460440788610.3%
556082782864.9%
566041978859.0%
576063080845.0%
586064176816.6%
596061078802.6%
606020177770.0%
6160655667716.7%
626003576760.0%
6360153657616.9%
646070774762.7%
656007374751.4%
666060770757.1%
6760426657413.8%
686047868748.8%
6960099637112.7%
706043866717.6%
716009369701.4%
726006862689.7%
736066063664.8%
7460087536522.6%
7560101546316.7%
76604296563-3.1%
7760586556314.5%
786006258615.2%
7960506526117.3%
806009160600.0%
816020258603.4%
8260446495920.4%
836061158591.7%
846063155597.3%
856047155585.5%
866004556571.8%
876006456571.8%
886043054575.6%
896071452567.7%
9060148495512.2%
9160406505510.0%
926015451545.9%
936044151545.9%
946001552531.9%
9560302465213.0%
9660462425121.4%
976005649502.0%
986064648504.2%
996018847494.3%
1006042345498.9%
1016042845498.9%
10260656424916.7%
1036060546484.3%
1046009045474.4%
1056016044464.5%
1066005343454.7%
1076045542457.1%
1086008941447.3%
10960431404410.0%
1106049042444.8%
11160026394310.3%
1126003142432.4%
11360133374316.2%
11460459384313.2%
11560525364319.4%
11660805384313.2%
1176001840425.0%
1186043341422.4%
1196010639415.1%
1206012037408.1%
1216012338405.3%
1226012637408.1%
1236013937408.1%
1246018540400.0%
1256040339402.6%
1266065439402.6%
12760107333918.2%
1286013036398.3%
1296013137395.4%
1306018138392.6%
13160477353911.4%
1326042536385.6%
1336045235388.6%
13460565303826.7%
1356071237382.7%
13660505293727.6%
13760164283628.6%
1386019335362.9%
13960484313616.1%
14060706313616.1%
1416004633356.1%
1426007432359.4%
1436042232359.4%
1446056132359.4%
1456041731349.7%
1466049131349.7%
1476051732346.3%
14860004303310.0%
14960048303310.0%
15060463283317.9%
15160467293313.8%
1526056432333.1%
15360007293210.3%
15460098273218.5%
15560432283110.7%
15660475283110.7%
1576006028307.1%
1586054329303.4%
1596060128307.1%
16060047262911.5%
16160439242920.8%
1626013728280.0%
1636045126287.7%
1646050427283.7%
16560516232821.7%
16660544252812.0%
1676055927283.7%
16860563252812.0%
1696044525278.0%
1706046525278.0%
1716048725278.0%
1726001424268.3%
1736016225264.0%
1746040425264.0%
1756041524268.3%
1766064225264.0%
1776170125264.0%
17860061222513.6%
1796010223258.7%
1806010324254.2%
1816051325250.0%
1826124423258.7%
18360044212414.3%
1846015523244.3%
18560436212414.3%
18660448212414.3%
1876063322249.1%
18860803212414.3%
1896003022234.5%
1906017222234.5%
1916046123230.0%
19260585202315.0%
1936001321224.8%
19460084192215.8%
1956054622220.0%
1966091422220.0%
197628010222200.0%
19860005172123.5%
19960010192110.5%
20060108192110.5%
2016018920215.0%
20261265172123.5%
20360050162025.0%
2046017119205.3%
20560194182011.1%
2066052119205.3%
2076256820200.0%
20862901162025.0%
2096017519190.0%
2106040118195.6%
2116044918195.6%
2126045719190.0%
21360515171911.8%
21460540171911.8%
21562040171911.8%
21660008161812.5%
2176043417185.9%
21860472161812.5%
2196051417185.9%
2206182217185.9%
22162226141828.6%
22262233141828.6%
22362236718157.1%
2246005116176.3%
2256006717170.0%
226601691817-5.6%
2276030416176.3%
2286052317170.0%
2296120117170.0%
2306011516160.0%
23160418141614.3%
23260502131623.1%
2336053216160.0%
2346066116160.0%
2356176116160.0%
2366222116160.0%
23762269141614.3%
2386000214157.1%
23960156131515.4%
2406044214157.1%
2416229814157.1%
2426008313147.7%
24360110101440.0%
2446017414140.0%
24561704121416.7%
24662002121416.7%
24762223111427.3%
2486002213130.0%
2496013413130.0%
250601421413-7.1%
2516017613130.0%
252602031413-7.1%
2536052612138.3%
2546004312120.0%
2556016581250.0%
25660458101220.0%
25760501101220.0%
2586056012120.0%
2596108112120.0%
2606202511129.1%
2616220811129.1%
26260012101110.0%
2636006911110.0%
26460081101110.0%
2656012411110.0%
2666054291122.2%
2676060611110.0%
2686002010100.0%
2696014010100.0%
2706017710100.0%
2716030591011.1%
2726046491011.1%
2736048281025.0%
2746050310100.0%
2756053871042.9%
2766095081025.0%
2776110271042.9%
2786180110100.0%
2796182110100.0%
2806220691011.1%
281622341110-9.1%
2826270281025.0%
28360070990.0%
28460118990.0%
28560163990.0%
286604698912.5%
287605347928.6%
28860558990.0%
28961802990.0%
290626508912.5%
29160136880.0%
292601737814.3%
29360178880.0%
29460301880.0%
29560410880.0%
296604507814.3%
29762278880.0%
2986230508800.0%
29960042770.0%
30060191770.0%
30160192770.0%
30260468770.0%
30360510770.0%
30460545770.0%
30560554770.0%
306609646716.7%
307611096716.7%
30861241770.0%
3096176407700.0%
31062220770.0%
31162258770.0%
31262265770.0%
3136230107700.0%
31462711770.0%
3156011906600.0%
31660143660.0%
31760187660.0%
31860551660.0%
31960555660.0%
3206103206600.0%
3216110306600.0%
32261114660.0%
32361282660.0%
32461853660.0%
32561910660.0%
3266203406600.0%
32762035660.0%
32862959660.0%
329600416 -100.0%
330620956 -100.0%

Coronavirus Impact on States that Shelter at Home

President and CEO of Enigma Forensics, Lee Neubecker remotely converses with Geary Sikich, President of Logical Management Systems, to discuss the current state of impacts the Coronavirus has brought to citizens taking shelter at home. Data experts Lee and Geary explain statistics state by state and expose interesting facts for those states that have implemented shelter at home policies.

The Transcript of the Video Follows.

Lee Neubecker: I am here today, again with Geary Sikich, reporting from my basement. Geary is the principal of logical management systems. I am the president of Enigma Forensics. We’ve been talking on our show previously about the Coronavirus and the impact. And today we’re going to be talking a little bit about the current data trends and what’s happening. Geary thanks for being on the show remotely.

Geary Sikich: Thanks Lee it’s kind of an interesting way to work.

LN: It’s the new reality probably for a while, huh?

GS: I think for, yes, a little bit more than two weeks that’s for sure.

LN: Yeah, so I want to pull up some of the data that we were talking about earlier. A spreadsheet that we had here. Is that up on the screen for ya?

GS: Yes.

LN: Okay, great. So it’s showing that, this is data that was obtained from the John Hopkins website. They’ve got a place where you can download the historical data. Which I showed you a little earlier. Let me just pull that up. So what you see here, you can go on the map tool. You can actually scroll by clicking on the tab. Internet’s running a little slow. We discussed that previously.

GS: Welcome to the world of not enough pipe.

LN: Yeah so you might not have noticed it but there’s a little section that says admin one. If you hit the right arrows you can scroll through and cycle through and see the data reported differently. First it’s by country, and we’re now at 41,708 in the US. When you click, you can see the total. It’s running very slow today.

GS: Yeah John Hopkins, I know that one of the issues with their website is so many people are using it. That it, by this time of day it starts to slow down a bit. So it’s kind of a challenge to get in there and see the data as it stands. But I just noticed on the statistics for today, that the US stats at noon, when I checked I was doing a webinar today on hospital pandemic planning and drills. And US infection rate has jumped up pretty substantially.

LN: Yeah I want to show you some specifics of concerns as we drill down. I pulled the top 10 states And you can click here, you can see by states and regions. You can see New York is getting devastated right now. Then Washington, and then Cook County Illinois here is running right up next in line. But what I found interesting is as you pull the historical data out, but you can get off, we can see, here is New York. That’s a pretty scary curve, and it’s a trajectory that doesn’t suggest it’s going to get any better any time soon. And then you have Illinois, New Jersey, and what not. But what was real interesting is we had a cross. Illinois is this line right here on the screen there. Illinois is, where is Illinois here. We got, actually what I did is I pulled out New York so I could get more zoned. So excluding New York, you can now see what’s going on. And Michigan, that didn’t have a band until they just announced today that they’re instituting a lockdown. But Illinois, more dense, more likely to get a contagious outbreak than Michigan in my opinion. Because they quarantined early enough, you start to see that at least so far Illinois holding out. Now I think that number’s going to jump up. I think that the number, they haven’t fully reported the count for today yet. But it was interesting to see both Louisiana and Michigan and Florida jump up and surpass. And right now, Florida doesn’t have a ban in place. Georgia doesn’t have a ban in place. What do you think’s going to happen with Georgia?

GS: Well I think what your statistics are showing, and it’s interesting is that the early adopters of shelter in place and working remotely, etcetera, cut the bands, if you will. The early adopters of that are finding that social distancing is actually working. The late adopters who have yet to come to the point of doing shelter in place and what not are finding much like the parallel with Philadelphia and Denver during the Spanish Influenza, Denver closed the city very quickly, very little in terms of issues that they had. Philadelphia on the other hand kept everything open and actually did a parade to try to raise money for bombs for World War One. And as a result they had a significantly higher infection rate. And so I think you’re seeing a parallel in terms of history and what’s happening today. So I would say that those states that are late adopters are probably going to see a higher rate of infection. The other thing it would be, is if we can, you’d have to do some manipulation on data with this but is to look at those states which have large cities. Chicago, New York City, Los Angeles. Some of the bigger cities are going to have a significantly bigger concentration of casualties, if you will. That is going to result, it results from the fact that people are living in close proximity in those cities. The other aspect is that, if you think about it, a lot of downtown populations don’t have the, how do I put it, the infrastructure to do a lot of at home cooking. So it’s either they don’t have the storage facilities for food or they just don’t cook because restaurants are so plentiful. And suddenly we’re finding that with restaurants closed and other things being shut down, as far as businesses and what not, that there’s a greater dependence for people to be a little bit more self-sufficient, if you will.

LN: Yep, it’s certainly going to get interesting here. Well, thanks for coming on the show again and talking about this. I’m sure we’ll have some more things to talk about again soon.

GS: Thank you for having me.

LN: Great, thanks.

Other Related Videos

View John Hopkins Coronavirus Map

https://coronavirus.jhu.edu/

View CDC Guidelines

https://www.cdc.gov/coronavirus/2019-ncov/faq.html#anchor_1584386949645

View State of Illinois Website

https://www2.illinois.gov/