Data is Beautiful

5023 readers

4 users here now

A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.

A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

  A post must be (or contain) a qualifying data visualization.

  Directly link to the original source article of the visualization
    Original source article doesn't mean the original source image. Link to the full page of the source article as a link-type submission.
    If you made the visualization yourself, tag it as [OC]

  [OC] posts must state the data source(s) and tool(s) used in the first top-level comment on their submission.

  DO NOT claim "[OC]" for diagrams that are not yours.

  All diagrams must have at least one computer generated element.

  No reposts of popular posts within 1 month.

  Post titles must describe the data plainly without using sensationalized headlines. Clickbait posts will be removed.

  Posts involving American Politics, or contentious topics in American media, are permissible only on Thursdays (ET).

  Posts involving Personal Data are permissible only on Mondays (ET).

Please read through our FAQ if you are new to posting on DataIsBeautiful. Commenting Rules

Don't be intentionally rude, ever.

Comments should be constructive and related to the visual presented. Special attention is given to root-level comments.

Short comments and low effort replies are automatically removed.

Hate Speech and dogwhistling are not tolerated and will result in an immediate ban.

Personal attacks and rabble-rousing will be removed.

Moderators reserve discretion when issuing bans for inappropriate comments. Bans are also subject to you forfeiting all of your comments in this community.

Originally r/DataisBeautiful

founded 2 years ago

MODERATORS

WandererLagomorph770

STRIKINGdebate2

the_ocs

161

The Amount of Work Required to Afford University Tuition (1980-2020) (lemmy.world)

submitted 1 year ago* (last edited 1 year ago) by Boomer_Checker to c/dataisbeautiful

24 comments fedilink hide all child comments

Workers have to work for a longer period of time in order to afford University Tuition than they used to in 1980. The trend is hardest on minimum wage workers who have to work 32.24 weeks of full-time work in 2020 to afford tuition, compared to 5.95 weeks of full-time work in 1980. This ignores taxes and assumes all money earned is put toward tuition.

Since 1980 the price of a Year's University Tuition has increased by 282% when adjusted for inflation.

Wages have gone up nominally, but not as much when accounting for inflation. The minimum wage has decreased since 1980 after adjusting for inflation.

Sources:

Median and Top 5% Income: Census.gov (Table H-3)
Minimum Wage: Department of Labor
Year's University Tuition: NCES (Public Universities)

Visualized on boomerchecker.com

Edit:

Fixed an error when converting Median and Top 5% from annual to weekly. The time to save for those two brackets rose as a result.
Added wage data for the different wage brackets for reference.

you are viewing a single comment's thread
view the rest of the comments

[–] Spider_Monkey 1 points 1 year ago* (last edited 1 year ago) (2 children)

This graph is also misleading it show the cost in weeks for a New York college but uses a federal minimum wage (7.25/HR) instead of the New York State minimum wage (14.20/HR) which would bring down the weeks to around 16.

*It was pointed out this wasn’t for a New York college so this isn’t perfectly accurate. Though I think referencing the federal minimum wage is a bad idea.

[–] [email protected] 2 points 1 year ago (1 children)

Hmm, looks to me like this is an average of lots of colleges around the nation, not just New York. Where are you getting that info?

https://nces.ed.gov/programs/digest/d21/tables/dt21_330.10.asp

[–] Spider_Monkey 3 points 1 year ago

Looks like my reading comprehension failed me. Sorry for the bad assumption.

[–] Boomer_Checker 1 points 1 year ago

It would be interesting to have a more region-specific breakdown of this information, especially since the U.S. is so big and costs (and minimum wages) vary widely from place to place. I haven't been able to find more granular data, though.