Coronavirus in Xinjiang Uygur

Affected Population

< 0.001 %

This is the part of confirmed infection cases against the total 22 million of its population.

Affected 0.0035 per 1000 people
Died 0.00014 per 1000 people

Recovery Pie

The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Xinjiang Uygur.

Raw Numbers on April 27, 2020

76confirmed0

73recovered0

3fatal0

0active0

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Xinjiang Uygur and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.

New Confirmed Cases

This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.

Daily Speed

This graph shows the speed of growth (in %) over time in Xinjiang Uygur. The only parameter here is the number of confirmed cases.

Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that fewer cases registered today than yesterday.

Weekly Levels

This graph draws the number of deaths in Xinjiang Uygur connected to the COVID-19 infection aggregated by weeks of 2020.

Per capita values

Here, the number of confirmations and deaths per 1000 of population in Xinjiang Uygur is shown. These numbers is a better choice when comparing different countries than absolute numbers.

Raw Daily Numbers

Download as CSV | XLS

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Fatal
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
Confirmed
per 1000
Died
per 1000
Apr 27 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 26 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 25 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 24 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 23 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 22 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 21 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 20 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 19 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 18 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 17 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 16 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 15 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 14 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 13 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 12 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 11 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 10 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 9 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 8 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 7 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 6 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 5 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 4 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 3 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 2 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Apr 1 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 31 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 30 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 29 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 28 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 27 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 26 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 25 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 24 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 23 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 22 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 21 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 20 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 19 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 18 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 17 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 16 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 15 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 14 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 13 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 12 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 11 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 10 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 9 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 8 76 0.0 % 73 3 0 96.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 7 76 0.0 % 72 3 1 94.7 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 6 76 0.0 % 71 3 2 93.4 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 5 76 0.0 % 70 3 3 92.1 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 4 76 0.0 % 69 3 4 90.8 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 3 76 0.0 % 68 3 5 89.5 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 2 76 0.0 % 66 3 7 86.8 % 3.9 % < 0.001 % 0.0035 0.00014
Mar 1 76 0.0 % 64 3 9 84.2 % 3.9 % < 0.001 % 0.0035 0.00014
Feb 29 76 0.0 % 62 3 11 81.6 % 3.9 % < 0.001 % 0.0035 0.00014
Feb 28 76 0.0 % 52 3 21 68.4 % 3.9 % < 0.001 % 0.0035 0.00014
Feb 27 76 0.0 % 43 2 31 56.6 % 2.6 % < 0.001 % 0.0035 0.00
Feb 26 76 0.0 % 34 2 40 44.7 % 2.6 % < 0.001 % 0.0035 0.00
Feb 25 76 0.0 % 30 2 44 39.5 % 2.6 % < 0.001 % 0.0035 0.00
Feb 24 76 0.0 % 30 2 44 39.5 % 2.6 % < 0.001 % 0.0035 0.00
Feb 23 76 0.0 % 28 2 46 36.8 % 2.6 % < 0.001 % 0.0035 0.00
Feb 22 76 0.0 % 25 2 49 32.9 % 2.6 % < 0.001 % 0.0035 0.00
Feb 21 76 0.0 % 24 1 51 31.6 % 1.3 % < 0.001 % 0.0035 0.00
Feb 20 76 0.0 % 22 1 53 28.9 % 1.3 % < 0.001 % 0.0035 0.00
Feb 19 76 0.0 % 20 1 55 26.3 % 1.3 % < 0.001 % 0.0035 0.00
Feb 18 76 1.3 % 12 1 63 15.8 % 1.3 % < 0.001 % 0.0035 0.00
Feb 17 75 5.6 % 12 1 62 16.0 % 1.3 % < 0.001 % 0.0034 0.00
Feb 16 71 1.4 % 12 1 58 16.9 % 1.4 % < 0.001 % 0.0033 0.00
Feb 15 70 7.7 % 10 1 59 14.3 % 1.4 % < 0.001 % 0.0032 0.00
Feb 14 65 3.2 % 6 1 58 9.2 % 1.5 % < 0.001 % 0.0030 0.00
Feb 13 63 6.8 % 6 1 56 9.5 % 1.6 % < 0.001 % 0.0029 0.00
Feb 12 59 7.3 % 3 0 56 5.1 % 0.0 % < 0.001 % 0.0027 0.00
Feb 11 55 12.2 % 3 0 52 5.5 % 0.0 % < 0.001 % 0.0025 0.00
Feb 10 49 8.9 % 0 0 49 0.0 % 0.0 % < 0.001 % 0.0022 0.00
Feb 9 45 7.1 % 0 0 45 0.0 % 0.0 % < 0.001 % 0.0021 0.00
Feb 8 42 7.7 % 0 0 42 0.0 % 0.0 % < 0.001 % 0.0019 0.00
Feb 7 39 8.3 % 0 0 39 0.0 % 0.0 % < 0.001 % 0.0018 0.00
Feb 6 36 12.5 % 0 0 36 0.0 % 0.0 % < 0.001 % 0.0017 0.00
Feb 5 32 10.3 % 0 0 32 0.0 % 0.0 % < 0.001 % 0.0015 0.00
Feb 4 29 20.8 % 0 0 29 0.0 % 0.0 % < 0.001 % 0.0013 0.00
Feb 3 24 14.3 % 0 0 24 0.0 % 0.0 % < 0.001 % 0.0011 0.00
Feb 2 21 16.7 % 0 0 21 0.0 % 0.0 % < 0.001 % 0.00096 0.00
Feb 1 18 5.9 % 0 0 18 0.0 % 0.0 % < 0.001 % 0.00083 0.00
Jan 31 17 21.4 % 0 0 17 0.0 % 0.0 % < 0.001 % 0.00078 0.00
Jan 30 14 7.7 % 0 0 14 0.0 % 0.0 % < 0.001 % 0.00064 0.00
Jan 29 13 30.0 % 0 0 13 0.0 % 0.0 % < 0.001 % 0.00060 0.00
Jan 28 10 100.0 % 0 0 10 0.0 % 0.0 % < 0.001 % 0.00046 0.00
Jan 27 5 25.0 % 0 0 5 0.0 % 0.0 % < 0.001 % 0.00023 0.00
Jan 26 4 33.3 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.00018 0.00
Jan 25 3 50.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 0.00014 0.00
Jan 24 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.00 0.00
Jan 23 2 0 0 2 0.0 % 0.0 % < 0.001 % 0.00 0.00

Coronavirus in China

Cumulative China statistics | Distribution over the provinces | Compare the provinces

China excluding Hubei

Anhui

Beijing

Chongqing

Fujian

Gansu

Guangdong

Guangxi Zhuangzu

Guizhou

Hainan

Hebei

Heilongjiang

Henan

Hong Kong

Hubei

Hunan

Jiangsu

Jiangxi

Jilin

Liaoning

Macao

Nei Mongol

Ningxia Huizi

Qinghai

Shaanxi

Shandong

Shanghai

Shanxi

Sichuan

Taiwan

Tianjin

Xinjiang Uygur

Xizang

Yunnan

Zhejiang

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Europe

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Finland

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Gambia

Georgia

Germany

Ghana

Gibraltar

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Greenland

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Rwanda ▲▲

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The green and red arrows next to the country name display the trend of the new confirmed cases during the last week.

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Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.

This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. Central European time.

Read the Technology blog. Look at the source code: GitHub. Powered by Raku.

Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.