COVID19 Stats for South Africa
Plots prepared and maintained by J. van der Linde
Website developed by I.D. van der Linde
Contact us by sending a mail to covid@jvdl.me
Check back daily around 10AM for the latest statistics. Each image shows the latest source data datestamp.
These plots and statistics are produced for educational purposes only. I make use of open-source data. For official figures see the official government website.
In three words, I can sum up everything I've learned about life. It goes on. In all the confusions of today, with all our troubles... with politicians and people slinging the word fear around, all of us become discouraged . . . tempted to say this is the end, the finish.
But life - it goes on. It always has. It always will. Don't forget that.
- Robert Frost
At a glance
Note: N/A indicates data unavailability. In this case national and/or provincial data is unavailable to complete the calculation.
Source Date Snapshot (Last 10 Days)
Data Transparency
In the interests of transparency, a 10-day snapshot of the most relevant variables is provided.
The numbers given in the open-source dataset we use may not always line up exactly with the official numbers reported by government. Should this be the case, the figures provided by the government should be seen as the correct source data.
Overall Country Statistics
This section covers nationwide statistics, including cumulative (total) cases over time, new cases by date, total deaths, and new deaths by date. For clarity, total versus new deaths are plotted in their own graph. Active cases are calculated as the total confirmed cases minus recoveries and deaths.
Statistics, Sources, and Software
Nationwide Cases and Deaths by Date, both cumulative and new
Nationwide Active and New Cases by Date
Nationwide Deaths by Date, both cumulative and new
Overall Province Statistics
This section provides an overview of all provinces at a glance. A number of different graphs are presented to paint as clear a picture as possible; for example a 7-day rolling average graph of new cases is much less erratic. Due to big differences in the population numbers per province, it is also important to normalise the case numbers; in this case we normalised to 1 million people per province. This avoids a skewed interpretation of the data.
Active Cases by Date per Province
New Cases by Date per Province
New Cases by Date per Province (7DRA)
New Cases by Date per Province (7DRA)
(Normalised to 1M Population per Province)
New Cases by Date per Province (7DRA, Log10 Scale)
New Cases by Date per Province (7DRA, Log10 Scale)
(Normalised to 1M Population per Province)
Boxplot of New Cases per Province in the Last 7 Days
(Normalised to 1M Population per Province)
Individual Province Statistics
This section highlights the number of new and active cases per province. This is a useful technique to identify trends within each province individually. The all-time high for each province is split between new and active cases, indicated by (N) and (A) on the graphs.
Statistics, Sources, and Software
Eastern Cape
Free State
Gauteng
KwaZulu-Natal
Limpopo
Mpumalanga
Northern Cape
North West
Western Cape
Vaccination Statistics
This section provides insights on new and total vaccination numbers over time, as well as average weekday statistics. Vaccination phases are clearly indicated on the graphs and there is a clear ramp-up in Phase 2 when compared to Phase 1.
Number of Vaccinations per Day
Total Vaccinations
Total Vaccinations by Province
Total Vaccinations by Province
(Normalised to 1M Population per Province)
Average New Vaccinations per Weekday
Tests
This section highlights new tests versus new cases over time as well as summary statistics by weekday. It is important to take note that while fewer cases are detected on some days, on average, this is due to fewer tests being conducted on those days. The positivity rate across all days remains more or less constant. This indicates a possible underrepresentation of new cases on certain days.
New Tests versus New Cases
Positivity Rate
Average New Tests per Weekday
Average New Cases per Weekday
Average Positivity Rate per Weekday
Reproduction Rate
This section plots the given reproduction rate as per the open-source dataset. The reproduction rate indicates how contagious the virus is at a certain timepoint. There is a correlation between stricter lockdown levels and a lower reproduction rate, for example. A reproduction rate greater than 1 indicates the virus is spreading and gathering pace, while a reproduction rate of less than 1 indicates that the spread is slowing down and a decrease in case numbers is expected.
Reproduction Rate
