This is the part of confirmed infection cases against the total 23 million of its population.
The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Niger.
The height of a single bar is the total number of people suffered from Coronavirus in Niger 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.
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.
This graph shows the speed of growth (in %) over time in Niger. 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.
The gray bars on this graph display the absolute number of deaths that happen in Niger every month during the recent five years of available data. The red bars are the absolute numbers of people died due to the COVID-19 infection.
Note that the vertical axis is drawn in logarithmic scale by default.
As there is no monthly data available in Niger, the gray bars are the average numbers obtained via the crude death values known for this country for the recent five years of the available dataset.
This graph draws the number of deaths in Niger connected to the COVID-19 infection aggregated by weeks of 2020.
Crude mortality rate is the number of people died in a country within a year per each 1000 of population.
Here, the crude rate in Niger is shown for the last 50 years. The red bar against 2020 is the number of people died due to COVID-19 per each 1000 people. Thus, you can directly compare the two parameters.
Note that the vertical axis is drawn in logarithmic scale by default.
Here, the number of confirmations and deaths per 1000 of population in Niger is shown. These numbers is a better choice when comparing different countries than absolute numbers.
| 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 | 701 | 0.7 % | 385 | 29 | 287 | 54.9 % | 4.1 % | 0.003 % | 0.030 | 0.0012 |
| Apr 26 | 696 | 1.8 % | 350 | 29 | 317 | 50.3 % | 4.2 % | 0.003 % | 0.030 | 0.0012 |
| Apr 25 | 684 | 0.4 % | 325 | 27 | 332 | 47.5 % | 3.9 % | 0.0029 % | 0.029 | 0.0012 |
| Apr 24 | 681 | 1.5 % | 289 | 24 | 368 | 42.4 % | 3.5 % | 0.0029 % | 0.029 | 0.0010 |
| Apr 23 | 671 | 1.4 % | 256 | 24 | 391 | 38.2 % | 3.6 % | 0.0029 % | 0.029 | 0.0010 |
| Apr 22 | 662 | 0.8 % | 193 | 22 | 447 | 29.2 % | 3.3 % | 0.0028 % | 0.028 | 0.00094 |
| Apr 21 | 657 | 1.4 % | 127 | 20 | 510 | 19.3 % | 3.0 % | 0.0028 % | 0.028 | 0.00086 |
| Apr 20 | 648 | 0.0 % | 117 | 20 | 511 | 18.1 % | 3.1 % | 0.0028 % | 0.028 | 0.00086 |
| Apr 19 | 648 | 1.4 % | 117 | 20 | 511 | 18.1 % | 3.1 % | 0.0028 % | 0.028 | 0.00086 |
| Apr 18 | 639 | 1.9 % | 113 | 19 | 507 | 17.7 % | 3.0 % | 0.0027 % | 0.027 | 0.00082 |
| Apr 17 | 627 | 7.4 % | 110 | 18 | 499 | 17.5 % | 2.9 % | 0.0027 % | 0.027 | 0.00077 |
| Apr 16 | 584 | 0.0 % | 90 | 14 | 480 | 15.4 % | 2.4 % | 0.0025 % | 0.025 | 0.00060 |
| Apr 15 | 584 | 2.5 % | 90 | 14 | 480 | 15.4 % | 2.4 % | 0.0025 % | 0.025 | 0.00060 |
| Apr 14 | 570 | 7.8 % | 90 | 14 | 466 | 15.8 % | 2.5 % | 0.0024 % | 0.024 | 0.00060 |
| Apr 13 | 529 | 0.0 % | 75 | 12 | 442 | 14.2 % | 2.3 % | 0.0023 % | 0.023 | 0.00051 |
| Apr 12 | 529 | 7.7 % | 75 | 12 | 442 | 14.2 % | 2.3 % | 0.0023 % | 0.023 | 0.00051 |
| Apr 11 | 491 | 12.1 % | 41 | 11 | 439 | 8.4 % | 2.2 % | 0.0021 % | 0.021 | 0.00047 |
| Apr 10 | 438 | 6.8 % | 41 | 11 | 386 | 9.4 % | 2.5 % | 0.0019 % | 0.019 | 0.00047 |
| Apr 9 | 410 | 19.9 % | 40 | 11 | 359 | 9.8 % | 2.7 % | 0.0018 % | 0.018 | 0.00047 |
| Apr 8 | 342 | 23.0 % | 28 | 11 | 303 | 8.2 % | 3.2 % | 0.0015 % | 0.015 | 0.00047 |
| Apr 7 | 278 | 9.9 % | 26 | 11 | 241 | 9.4 % | 4.0 % | 0.0012 % | 0.012 | 0.00047 |
| Apr 6 | 253 | 37.5 % | 26 | 10 | 217 | 10.3 % | 4.0 % | 0.0011 % | 0.011 | 0.00043 |
| Apr 5 | 184 | 27.8 % | 13 | 10 | 161 | 7.1 % | 5.4 % | < 0.001 % | 0.0079 | 0.00043 |
| Apr 4 | 144 | 20.0 % | 0 | 8 | 136 | 0.0 % | 5.6 % | < 0.001 % | 0.0062 | 0.00034 |
| Apr 3 | 120 | 22.4 % | 0 | 5 | 115 | 0.0 % | 4.2 % | < 0.001 % | 0.0051 | 0.00021 |
| Apr 2 | 98 | 32.4 % | 0 | 5 | 93 | 0.0 % | 5.1 % | < 0.001 % | 0.0042 | 0.00021 |
| Apr 1 | 74 | 174.1 % | 0 | 5 | 69 | 0.0 % | 6.8 % | < 0.001 % | 0.0032 | 0.00021 |
| Mar 31 | 27 | 0.0 % | 0 | 3 | 24 | 0.0 % | 11.1 % | < 0.001 % | 0.0012 | 0.00013 |
| Mar 30 | 27 | 50.0 % | 0 | 3 | 24 | 0.0 % | 11.1 % | < 0.001 % | 0.0012 | 0.00013 |
| Mar 29 | 18 | 80.0 % | 0 | 1 | 17 | 0.0 % | 5.6 % | < 0.001 % | 0.00077 | 0.00 |
| Mar 28 | 10 | 0.0 % | 0 | 1 | 9 | 0.0 % | 10.0 % | < 0.001 % | 0.00043 | 0.00 |
| Mar 27 | 10 | 0.0 % | 0 | 1 | 9 | 0.0 % | 10.0 % | < 0.001 % | 0.00043 | 0.00 |
| Mar 26 | 10 | 42.9 % | 0 | 1 | 9 | 0.0 % | 10.0 % | < 0.001 % | 0.00043 | 0.00 |
| Mar 25 | 7 | 133.3 % | 0 | 1 | 6 | 0.0 % | 14.3 % | < 0.001 % | 0.00030 | 0.00 |
| Mar 24 | 3 | 0.0 % | 0 | 0 | 3 | 0.0 % | 0.0 % | < 0.001 % | 0.00013 | 0.00 |
| Mar 23 | 3 | 50.0 % | 0 | 0 | 3 | 0.0 % | 0.0 % | < 0.001 % | 0.00013 | 0.00 |
| Mar 22 | 2 | 100.0 % | 0 | 0 | 2 | 0.0 % | 0.0 % | < 0.001 % | 0.00 | 0.00 |
| Mar 21 | 1 | 0.0 % | 0 | 0 | 1 | 0.0 % | 0.0 % | < 0.001 % | 0.00 | 0.00 |
| Mar 20 | 1 | — | 0 | 0 | 1 | 0.0 % | 0.0 % | < 0.001 % | 0.00 | 0.00 |
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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.
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.