Yes it is

Slightly confused by everyone saying this, I agree it could be presented/explained a lot better but it’s still not that hard to understand

There’s nothing clear about this data

You forgot the /s at the end of your comment. Obviously there's no way that's a serious comment made after looking at the graph.

Income? Or wealth? These are not the same thing at all.

Its about income inequality, not wealth inequality

I think "total wages" is "what percent of w-2 wages are in this range".

So sum every male w-2 in the bucket, then divide by total male w-2 wages.

So while 0.0004% # males in highest bucket, it accounted for 0.2% of all male money earned.

We do well concerning income inequality. We don't score as good when looking at wealth inequality.

Concerning income, according to the graph top 1% earn ~6% of income. Top 1% richest people account for 26% of the total wealth in the country.

Did you actually look at the data? They are very clearly and visibly unequal. Every bracket under 40% there are more women than men, every bracket above more men than women.

For all brackets above $100,000, there are over twice as many men as women, in the highest categories as much as 10x

This data very visibly shows income inequality between the genders

Look for a country, then check it's position in the X-axis, the percentage shown is the amount of wealth held by richest 1%

This data is like trying to read spaghetti thrown against the wall

ok Hillary did not take 2 billion for own wallet, you must admit the whole operation was exemsunally badly runned to down right criminal

$13.3 billion that donors promised over 10 years remains uncollected.

She was in charge

https://pulitzercenter.org/stories/bill-clinton-once-enjoyed-bright-legacy-haiti-then-2010-earthquake-struck

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unhappy people

I guess cost of living is really high.

I’m trying to find support for your statement that “Hillary pocketed 2 billion dollars of relief cash”. Dude asked you for support for that and you linked to the BBC article. That was the only mention of $2 billion in that article. I didn’t cherry pick shit.

The main inference might be that methadone for pain, which is used at lower-doses, is pretty safe. Methadone for opioid use disorder, not so much.

Yes, its just a correlation, but a very strong one! It would be nicer to have a comparison group that didn't change their take-home rules.

you cherry picked that one, of that amount 88% was spent on program expenses which includes training 2000 women with job skills (11,5 million live in Haiti)

She was supposed to take care of the program

of $9 billion, $34 million founds it way to Haiti locals

Why would they explain that to you when thats just you moving the goal post and has nothing to do with the topic and in no way backs up your claim.

This is about a comparison of countries not how Mexico’s survey is run without any larger context.

Now explain why you don’t get that?

I don't know. The data is not broken down in that manner.

That is a fair comment, I actually specifically removed "Total", this is the graph with total included. the values for total go from 57% -> 60%

Thanks for the suggestions, you are probably right about the larger text, but I don't know about the gather on the left thing, I tried it in earlier versions, and it was sometimes hard to "follow" the label over to the number

It is disappointing. I think more women should be in computer science. But, by the same token I am worried about the number of men going into healthcare and education. It would be nice if there was gender representation going both ways.

It's not intuition. I am a manager in big tech. I see the resumes that come in and who work in our offices and at other locations. Call it a very good sample size based on 20 years in the industry. THe number of women have increased, but they are primarily not who you think they are. It's good for Canada's economy. I think it's not the increase people were targeting. Most of these people got their bachelor's in their native country.

The source table only breaks down the data by age and gender, making it impossible to determine if your intuition is correct. Sorry.

No. I think it is immigration from Asia (China and India) and maybe also Eastern Europe. Most of the women I see doing coding are Asian.

I wonder how much of the increase in Science and tech was due to immigration from Asia and Eastern Europe. I suspect a good percentage. I work in tech and most of the women I see actually doing the engineering, development, etc are Asian women.