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Visual_Poem_7288 t1_iud10b4 wrote

Why the Malay unemployment so low bru 💀💀

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jrystrawman t1_iud266m wrote

I like the breakdown as I think the tradional unemployment rate doesn't factor large components out [<outside the labour force]. But I'm,d also still like to see the "tradional unemployment rate" alongside these metrics.

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Disconn3cted t1_iud3nmm wrote

So "Other Languages" are more employable than English and Mandarin?

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Wowsers_an_idiot23 t1_iud68kz wrote

1)are the numbers reflective of total population? eg 66% of eng could be 500 ppl but 63% of chinese could be 200 ppl 2)when you say not actively seeking work do you mean stay-at-home adults such as housewives or retired? 3)who were the ones who did the census? govt or independent organisations? cos idr trust the other races in sg, they could have rigged the numbers to flex on us esp those ppl who dl malays

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jeromedavis t1_iud7op7 wrote

I don’t think this graphic tells you much about employability.

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brewbase t1_iud8sy4 wrote

1)obviously reflective of the number who speak the language, not total national population as the numbers add up to 100% (or near it)

2)this statistic usually means anyone not working or looking for work. Sometimes includes students, usually includes housewives, retired, and those too disabled to work.

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brewbase t1_iud8v49 wrote

The most relevant number is the unemployment rate, which we don't get explicitly.

I get that you can work it out and it doesn't change much, but it should be immediately clear at first glance.

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borg_legion t1_iudatkx wrote

Is this supposed to be "Chinese (Including Dialects)" instead of "Mandarin (including dialects)"?

Mandarin is a dialect, I guess there are sub-dialects of Mandarin but afaik they'd be mutually intelligible.

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ASpellingAirror t1_iudb503 wrote

This data isn’t particularly beautiful in its presentation, or useful.

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El_Minadero t1_iudbo1q wrote

This is not a great visualization. Try a spider plot and normalize values to a standard.

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steve-win-wood t1_iudc2n5 wrote

The nation of other at it again!!! They seem to top most graphs these days.

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burnshimself t1_iude5i3 wrote

This must have been made by someone completely oblivious to the concept of correlation vs causation or multiple regression analysis.

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Techygal9 t1_iudh4bd wrote

This would be more useful if it showed English only or mandarin only (and etc). Many people speak multiple languages so knowing how employable one language is would have to control for just that one language.

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fizzymynizzy t1_iudiwhh wrote

"Mandarin including other dialects" just say Chinese.

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UncleSnowstorm t1_iudo65v wrote

More traditional gender roles than other cultures (i.e. more housewives/SAHMs), also close vicinity to Malaysia so might have people commuting to Malaysia to work (so wouldn't count among the SG labour force).

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european_hodler t1_iudsi45 wrote

This makes not much sense.

English and Secondary Language proficiency usually correlates with overall wealth and education level. Therefore, this is just a correlation but likely no causation.

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Mehek108 t1_iudvnl1 wrote

What are the Indian languages considered here?

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CeruleanDragon1 t1_iudwo3c wrote

So Mandarin has a lower rate of unemployment, but English has a higher percentage of employed people.

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tripodal t1_iue3svr wrote

You need to denote multi language speakers; as most non English speakers are multilingual

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lfrostbytee t1_iuha1aj wrote

The data might be more convenient if you indicated the percentage for the unemployed as well. The title is misleading as it implies that employability is directly related to one's spoken language. Being currently employed is different from one's employability because one could be currently employed, but could have also failed multiple job applications. Such a scenario would demonstrate how one can be employed but also does not have high employability.

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Aomentec t1_iuhjlw5 wrote

So if someone speaks three languages, does he show up in all three? I strongly doubt that only 5% of English Speakers (and so on) are employed.

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