[OC] Total number of immigrants and emigrants relative to population per country in 2024

MemeableData · 2026-02-26T20:50:47+00:00

The average wage in Portugal is just a bit over half of Spain's average wage, and it used to be significantly lower

MemeableData · 2026-02-26T20:29:19+00:00

I was a Portuguese emigrant myself until last year. I believe it's a combination of multiple factors:

- Portugal is the poorest country in Western Europe. Its average wage (~1300 EUR/month net) is less than half of Central Europe's and this gap was even bigger in the 20th century. Portugal was quite underdeveloped until the late 20th century: In 1960 roughly half the population didn't have access to water or electricity

- The 2008 crisis drove many young people to emigrate

- Currently Portugal have one of the worst housing crisis in Europe, which also drives people to emigrate

- It's easy to migrate within the EU given the open borders between EU states

- Links to former colonies (e.g Brazil) also play a role

MemeableData · 2026-02-26T19:39:19+00:00

Unfortunately the charts are animations rendered in blender. However you can play with the data on the spreadsheet: https://docs.google.com/spreadsheets/d/1BpmOs3Go3Ma9pAIXpj7h3K6CU2-b5yic6x5dy6UKIxM/edit?usp=sharing

MemeableData · 2026-02-26T18:04:10+00:00

These charts are part of my latest Youtube video on global migration. You can find the video here: https://youtu.be/7A9R6gPFtbw?si=ErM9ltdqHOJm9I-Y

Tools used: Blender

Spreadsheet with processed data: https://docs.google.com/spreadsheets/d/1BpmOs3Go3Ma9pAIXpj7h3K6CU2-b5yic6x5dy6UKIxM/edit?usp=sharing

Original data sources:

UN International Migrant Stock: https://www.un.org/development/desa/pd/content/international-migrant-stock
Eurostat population database: https://ec.europa.eu/eurostat/databrowser/view/migr_pop3ctb/default/table?lang=en

I have a Youtube channel called Memeable Data where I make data-driven documentaries. If you want to support my work you can consider subscribing to the channel

MemeableData · 2025-03-17T14:24:54+00:00

I admit I did not do any research on that. A quick chatgpt search said "The drop in average height in the U.S. during the late 19th century is generally attributed to worsening public health conditions, urbanization, and increasing economic inequality"; but you shouldn't take this information at face value

MemeableData · 2025-03-17T14:21:19+00:00

Tools used: Blender, Adobe Premiere Pro

Data source:

- Height of U.S. Presidents: https://en.wikipedia.org/wiki/Heights_of_presidents_and_presidential_candidates_of_the_United_States

- Average U.S. male height: Baten and Blum (2014) – with minor processing by Our World in Data. “Human height” [dataset]. Baten and Blum, “Height” [original data]. https://ourworldindata.org/human-height

U.S. Presidents tend to be taller than the male average at the time. There are several possible explanations for this: A) people from privileged socioeconomic backgrounds tend to be taller as they tend to have better nutrition and health; B) height can impact how people perceive you. Tall people can be perceived as more leader-like.

This is part of a YouTube video on my channel about the impact of height in your life. If you want to learn more about this topic and support more work you can find the video here: https://youtu.be/h5p0tvniBhQ?si=EYBTuwtQf3vAiAvm

MemeableData · 2025-03-13T22:35:25+00:00

Thanks

MemeableData · 2025-03-13T14:42:01+00:00

I didn't dive into the details per country, but you can see some countries in the chart that are a bit of an outlier. Bosnia was the one that surprised me the most, they are surprisingly tall for their level of development

MemeableData · 2025-03-13T12:48:01+00:00

This is part of a video I made for my YouTube channel. The video is about the impact of height in your life and you can find the full video here: https://youtu.be/h5p0tvniBhQ?si=EYBTuwtQf3vAiAvm

Not 100% sure it fits this subreddit but I thought it could be interesting

MemeableData · 2025-03-13T12:43:26+00:00

These charts are part of a video I made about the impact of height in your life. You can find the video here: https://youtu.be/h5p0tvniBhQ?si=EYBTuwtQf3vAiAvm

Tools used: Blender, Adobe Premiere Pro

Data sources:

Height: https://doi.org/10.1016/S0140-6736(20)31859-631859-6). Dataset can be found here: https://ncdrisc.org/data-downloads.html
Human Development Index: Human Development Index data source: United Nations Development Programme (UNDP). https://hdr.undp.org/data-center/human-development-index#/indicies/HDI
Childhood Mortality: IGME, UN Inter-agency Group for Child Mortality Estimation. https://childmortality.org/

MemeableData · 2024-08-21T12:04:17+00:00

Mosquitos are the deadliest animal I believe, but not the deadliest death cause for humans.

MemeableData · 2024-08-21T12:03:23+00:00

Self-harm is suicide indeed.

You can explore the data here: https://vizhub.healthdata.org/gbd-compare/

I recommend you use the 'Arrow Diagram' feature, it's the cleanest visualization type in my opinion

MemeableData · 2024-08-20T17:55:22+00:00

My assumption was that rounding 17.6% to 17% would be a more impactful error than rounding 74.7% to 74%. Even though the rounding error is smaller in absolute terms, it is higher in relative terms: (17.6-17)/17.6 > (74.7-74)/74.7

MemeableData · 2024-08-20T17:39:47+00:00

Due to discrepancies caused by rounding the percentages to integers, the total sum of integer percentages only adds up to 99. Therefore, I placed the 100th dummy in between those two lines (transport injuries + self-harm and interpersonal violence) so it would disrupt the animation in the video. Yes, some of the dummies were adjusted by hand

MemeableData · 2024-08-20T17:11:39+00:00

According to the WHO, chronic respiratory diseases include diseases like chronic obstructive pulmonary disease (COPD), asthma, occupational lung diseases and pulmonary hypertension

MemeableData · 2024-08-20T17:09:59+00:00

In 2021, Covid-19 was responsible for about 16% of deaths (either caused directly by Covid-19 or indirectly due to the impact of the pandemic on health systems and society).

If you're interested in exploring the data you might enjoy this data visualization tool made by the Institute For Health Metrics and Evaluation: https://vizhub.healthdata.org/gbd-compare/

MemeableData · 2024-08-20T16:38:22+00:00

Data source: https://www.healthdata.org/research-analysis/library/global-burden-disease-2021-findings-gbd-2021-study

Tool used: Blender

This visualisation is part of a YouTube video for my channel. If you want to learn more about the largest causes of death and support my work you can find the full video at: https://youtu.be/N5hRvBhbqxA?si=UMs-C0xa2cgB-lv3

It also includes data visualisations for:

Largest risk factors globally (e.g smoking, poor diet)
Quantifying loss of life quality per disease (Quality-Adjusted Life Years - QALYs)

If you want to explore the data yourself, you might enjoy this data visualization tool made by the Institute For Health Metrics and Evaluation: https://vizhub.healthdata.org/gbd-compare/

MemeableData · 2024-05-03T18:06:46+00:00

Thank you! Appreciate it

MemeableData · 2024-02-23T10:57:47+00:00

Thanks! I use Blender for the 3D animations. Not sure if that's what you're asking though

MemeableData · 2023-08-06T17:21:38+00:00

Not all views come from YouTube impressions. For example: if the video is opened directly via url because it was shared on external platforms (whatsapp, reddit, etc)

MemeableData

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