Women are still travelling by having their fathers/husbands/etc or taxis (which in some cases adds to distance travelled, although there would be many more women who don't travel due to the difficulty).

I think counting registered vehicles is better than counting licensed drivers. Total distance driven is probably better again for comparing number of crashes. And passenger-distance better again for comparing number of road deaths.

I would use size of the circle to represent that country's population.

Once that was done you'd have more large circles on the left on top of each other, so then I'd stretch it vertically to make it easier to read.

Another way to reduce the clutter on the left would be using a log (or sort-of-log) scale for income. Because it's possible that a small increase in income in a poor country corresponds to a significant decrease in road death rate, and this would something worth noting.

Women have been allowed to drive in Saudi Arabia since 2018.

Not so many sunny days where you live, so you had to travel to get some. But travel correlates with drinking...

TIL there is a Bhojpuri language with 50M speakers.

A large number of them look insignificant at 0.001-0.01%, but that's still like 10-100k people. The Australian census lists 500 languages including over 200 Aboriginal languages, some of them with number of speakers in one or two digits.

"Football", listed first, refers to soccer, which is the most popular team sport.

Well done. It takes a while to compile these. Maybe the bold line between the two Olympic columns was meant to be between the WC and Olympic columns?

The main ethnic group in China.

Мен – тыва мен!

It's great - I don't think I've heard another national anthem like it.

TIL there is Republic of Tuva in Russia bordering Mongolia, with ethnic Tuvans making up most of that state's population.

I had heard of the ethnic groups in the SW parts of Russia, which border other former USSR countries.

Is the lower spot in the last quarter due to incomplete data?

You can see some countries get hit harder by Covid.

We need a few more lines for break-even, 0.5x and 0.2x.

A comparison with conventional shares would be interesting too.

There's a series of YT videos on the story here: https://www.youtube.com/watch?v=TLpzHHbFrHY

No surprise that using more detailed data shows gives you a better picture.

I've often heard people say what one city is like compared to another (within Australia, which is relatively uniform). I have tended to believe that the difference within a large city is FAR more than the difference between them, and statements about their differences probably reflect what areas or circles of people they observed in the different cities.

Do it per population and see how it looks. Even then, it'd be good to break Asia into a few regions. Or with countries, coloured by continent.

I'm not that familiar with NBA but I know Toronto is in Canada...

The Raptors' eight international players include two Canadians - so not quite the same kind of international. I actually thought they might have a few more Canadians.

You're right that it's a continuous thing, not just reaching a particular number. The early boomers are a big enough cohort now that them being a few years older makes a significant difference in death numbers compared to the average of last 5 years (and ABS skipped 2020 being atypical). In fact risk of death increases faster the older you get, so as the decade progresses we'll see bigger increases and exceed a trailing 5 year average by more than we do now.

Couldn't read due to paywall. But something to note regarding excess deaths:

Australian Bureau of Statistics publishes monthly numbers of deaths compared to the average of the previous 5 years. This year has been significantly higher than the previous five and some have suggested vaccines or other Covid measures are to blame. Elsewhere I heard suggestions that there were many more Covid deaths missed by statistics. The main reason in Australia is that the early baby boomers have reached age 75. With more people in older age groups, more die of age-related reasons.

The ABS death stats also include sheets with an age-standardised death rate that accounts for the different ages. Not having read the article linked here I don't know whether it accounts for this or not.

I wrote more about this point here: https://stories.mappage.net.au/index.php/2022/09/04/excess-deaths-australia-early-2022/

A few sensationalist articles would say: Many more Australians are dying and no one is talking about it! The truth is, if I were to use sensationalist language is this: Many more OLD Australians are dying, and few are talking about it except the anti-mainstream agitators, who fail to mention that it's the old who are dying in increased numbers! (a bit too long for a sensational headline)

Everywhere that had a baby boom following WW2 can expect to see an increasing death rate over the next decade. Where I sit looks across the road to a cemetery where I see burials; these will become more frequent (unless offset by shifts to outer suburban cemeteries or cremations, as many struggle to afford to house the living).

I first thought "Oh, just another population map", but then realised these maps illustrate well that many chains are quite regional.

In my part of Australia, Subway and McDonalds are ubiquitous. Haven't seen any of the others except Carl's Jr just turned up last year.

I was thinking of this. I hope to resurrect my cartogram algorithm early next year, so you could plot points and see the prevalence of certain places relative to population. But then you'd have the opposite problem - sparsely inhabited areas will typically have more establishments per population than a metro area.

This map breaks the country into much smaller parts than we saw in the maps of Australia and Canada, New Zealand being a smaller country to start with. So while the states of Australia typically have the city with high prices and the rest of the state with lower prices, this map lets us see that Auckland (the only big city) is higher than anywhere else.

I also note two regions with the same number. When a value often has a round number, the median has a good chance of landing on it.

For comparison, in Australia in 2021, there were 1,068,268 single parent families (representing 15.9% of families), with 19.6% of these parents being male.

At the previous census in 2016, with was 959,544, 15.8% of families, and 18.2% of those parents being male.

So single fathers are on the rise here. By comparison, the US has a higher proportion of single-parent families and a greater share of the parents are fathers.

Having written the above, I remembered that a large number of Aussie kids have custody shared between their two parents. The above figures relate to where they were on census night. Lots of those kids would be with their mum most of the time and their dad on some weekends.

Good to see this - I think I remember suggesting this last year.

Yes. 3 would be 22.4%.

5.2%, 15.3%, 22.7%, 22.4%, 16.6%, 9.8%, 4.5% for 0 to 6.

Instead of the curve, red horizontal lines in each column for the Poisson value for each number. That would be more accurate and indicate how close the real values are to it.

The Poisson distribution is exactly what we'd expect if goals were random occurrences and no extra time. So no surprise but a good example for anyone explaining Poisson.