iiinova — where your digital self keeps evolving

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Ansgar Wolsing @ansgarw.bsky.social · 09/05/2026

Food web of Antarctic marine ecosystems A simplified network revealing the "who eats whom" of the Southern Ocean. #30DayChartChallenge | Day 13 - Ecosystems #dataviz #ggplot2

A directed graph showing the food web of the Antarctic marine ecosystems. Species/genera/classes are connected with each other to show predator-prey relationships.

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Lisa Hornung @lisahornung.bsky.social · 07/05/2026

April might be over, but I still got a loot of gaps to fill. #Dataviz for #30DayChartChallenge Day9 - Wealth. Who has savings? 💷💷💷 Young people are least likely to have a lot of savings. But even as people age, there's still a notable proportion of older people who have very little.

A heatmap showing the proportion of UK adults in each age group by savings amount. Younger adults (18–24) are more likely to have little or no savings, with 27% holding £1–£1k. Older adults show a clear shift toward higher savings: those aged 75+ are most likely to hold £100k–£250k (19%) or £250k+ (18%). The darkest cells highlight where each age group is most concentrated. Source: FCA Financial Lives Survey 2024

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#30DayChartChallenge @30daychartchall.bsky.social · 06/05/2026

Thank you to everyone who contributed to this year’s #30DayChartChallenge 🏆 It was wonderful to see so many of you participate, share your #dataviz, discuss charts, data sources, and tools, and celebrate one another’s work 🫶 We’d be thrilled to welcome you back next April 🚀 #DataVisualization 📈📊

A banner of this year's #30DayChartChallenge with a "thanks to all contributors and followers from the team!" and the invitation to "see you next year!"

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Ansgar Wolsing @ansgarw.bsky.social · 04/05/2026

The median age of astronauts increased by 11 years between the 1960s and 2010s. This reflects a shift from the era of young military test pilots to modern crews of seasoned commanders and specialized scientists. #30DayChartChallenge | Day 25 - Space #ggplot2

A jitter plot with the age of astronauts in the year of their missions, grouped by decade. The x axis shows decades from the 1960s to 2010s. The y axis shows age from 20 to 80. The age of each astronaut is represented by a dot. A bright yellow dot marks the median (central point) of the age distribution in each decade:
- 1960s: 36 years
- 1970s: 40 years
- 1980s: 41 years
- 1990s: 41.5 years
- 2000s: 45 years
- 2010s: 47 years

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Ansgar Wolsing @ansgarw.bsky.social · 03/05/2026

Today is World Press Freedom Day, observed to raise awareness of the importance of freedom of the press. The conditions for journalists vary considerably between OECD countries Here’s an update on the chart I shared on day 6 of the #30DayChartChallenge with 2026 data.

A dot plot, each OECD country’s freedom of the press score is plotted on a horizontal axis ranging from 25 to 100. Norway ranks first with 93, Türkiye last with 28.
Color indicates the press freedom classification: 7 countries with a good situation, 20 satisfactory, 7 problematic, 3 difficult, 1 very serious. A smaller grey dot indicates the value from the previous year (biggest developments mentioned in the post).

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James Williamson, Newfoundland GIS Specialist @northernmaps.bsky.social · 04/05/2026

Density of point-of-view sections by word count in the Wheel of Time Another chart I did as part of my failed 30 days of charts. But I got a bit of a kick out of putting this on the economist theme. #wheeloftime #wot #robertjordan #thewheelweaves #fantasy #30DayChartChallenge

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Ansgar Wolsing @ansgarw.bsky.social · 03/05/2026

Added two labels to describe the series #30DayChartChallenge | Day 16 - Causation

A chart showing the annual number of notified cases of measles in England and Wales from 1940 to 2025. Light bars in the background show the annual values, a smoothed line shows the long-term trend. The time on the x axis is cut into segments:
Before 1968: About 1000 cases per 100000 inhabitants annually.
Between 1968 and 1988: 150 cases per 100000 inhabitants.
After 1988 (intro of MMR): Up to 10 cases per 100000 inhabitants, with some spikes in numbers up to 18 cases per 100000 inhabitants.

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Ansgar Wolsing @ansgarw.bsky.social · 03/05/2026

When the first measles vaccination was approved in the United Kingdom in 1968, the number of infections decreased quickly and significantly. #30DayChartChallenge | Day 16 - Causation #dataviz

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Ansgar Wolsing @ansgarw.bsky.social · 02/05/2026

Most wealth mobility occurs in the middle of the wealth distribution in Germany. (April is officially over, but I have a few more ideas - and missing categories - to be shared.) #30DayChartChallenge | Day 17 - Remake #dataviz

A chart with 2 graphs. First, a flow diagram which shows the movement between wealth quintiles between 2 survey waves in 2011 (left bar) and 2023 (right bar). The size of the streams between these stacked bars are sized proportionally to the share of households which moved between the connected segments. As the post implies, most movement happes in the 2nd to 4th quintile, while the 5th and highest quintile as well as the 1st/lowest quintile remain rather stable. The second part is a matrix showing the percentage values for each combination of 2011 and 2023 quintile.

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James Williamson, Newfoundland GIS Specialist @northernmaps.bsky.social · 02/05/2026

Radiocarbon Dates for Newfoundland Recent Indigenous Period archaeological sites. I wanted to see how many dates had been taken at each site, and how wide their errors were. #historic #error #radiocarbon #Newfoundland #archaeology #30DayChartChallenge

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stevecarufel_ @stevecarufel.bsky.social · 01/05/2026

#30DayChartChallenge Day 26 : Trends #FinalFantasy, #Zelda, #MegaMan, #Mario, #ChronoTrigger, #Sonic : how often were their soundtracks covered and remixed on ocremix.org? There are ups and downs, like Mega Man having some moment in the early 2010s and Zelda in the last decade FF resists trends

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rqkoelle.bsky.social @rqkoelle.bsky.social · 01/05/2026

@30daychartchall.bsky.social #Day30 #30DayChartChallenge Final chart/prompt. GHDx offers a human-factors lens on Brazil-Europe long-haul flights and "human clocks". The asymmetry is an eye-catcher: Brazil -> Europe: 13% of arrivals inside the Window of Circadian Low (WOCL). Europe -> Brazil: 30%.

ridgeline plot showing distribution of long-haul arrivals between Brazil and Europe and how these shares impact the WOCL

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John Russell @drjohnrussell.com · 01/05/2026

#30DayChartChallenge Bonus Days :) I realized that there were a few variables I had not pulled for charts from @boardgamegeek.com A #dataviz of standard deviations within games, and one of recommended age Code in #rstats: github.com/drjohnrussel...

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Melissa Hegeman @mel-likes-maps.bsky.social · 01/05/2026

Day 12 of #30DayChartChallenge: Reporters without borders. Unpolished, but it still tells a story. Five years of global press freedom rankings. Norway never moves. The Netherlands went from 28th to 2nd. #rstats #dataviz

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Steven Ponce @sponce1.bsky.social · 30/04/2026

📊 #30DayChartChallenge 2026 – Recap . 30 charts. 5 categories. All of April. #30DayChartChallenge 2026 — wrapped. . #rstats | #r4ds | #dataviz | #ggplot2

Five category recap grids from #30DayChartChallenge 2026 — Comparisons, Distributions, Relationships, Timeseries, and Uncertainties — each showing six charts in a 2×3 layout on a warm off-white background.

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Ansgar Wolsing @ansgarw.bsky.social · 30/04/2026

Day 30 and final day of the #30DayChartChallenge! The German government agreed on a major healthcare reform this week, introducing cost-saving measures that have been heavily debated. #30DayChartChallenge | Day 30 - Data Day: Global Health Data Exchange #dataviz

Line charts comparing projected healthcare spending per person in the United States and Germany from 2023 to 2050, measured in constant 2023 purchasing power parity dollars. The U.S. shows a steep increase in "Total Health Spending," rising from approximately USD14,000 to $25,000. Germany's total spending rises from roughly $8,000 to $12,000. For both countries, the government contribution line remains significantly lower, ending at around $10,000 in the U.S. and $8,500 in Germany.

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Alexandra Mayette @alexemayette.bsky.social · 30/04/2026

#30DayChartChallenge Day 29+30: Monochrome + Data from the Global Health Data Exchange #DataViz #BreastCancer is one of the leading causes of mortality in #women across the world and health systems play a huge role in screening, diagnosis, and treatment🩷

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Rajo @rajodm.bsky.social · 30/04/2026

Since the RSF World Press Freedom Index 2026 is out, here's an update of my Day 6 entry, for #30DayChartChallenge #Day17 - Remake Code: github.com/rajodm/30Day... #dataviz #rstats #ggplot2

Small multiples slope chart of Reporters Without Borders Press Freedom Index scores for African countries, comparing 2025 to 2026. A table at the bottom right of the chart shows that only 24 (45.3%) of 53 countries showed improvement compared to 2025, the score remained the same as in 2025 for 7 (13.2%) countries, and the score decreased for 22 (41.5%) countries.

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cyazici.bsky.social @cyazici.bsky.social · 30/04/2026

Very late submission for #Day10 of #30DayChartChallenge. I studied the distribution of views of shows of #Netflix and visualized the Top 10. #DataScience #DataVisualization #Rstats #ggplot @30daychartchall.bsky.social

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Institut für Stadt- und Regionalforschung @isroeaw.bsky.social · 30/04/2026

Day 24, South China Morning Post: The renovation of Buda Castle has raised questions about heritage preservation, sparking major debate around authenticity and political symbolism. This chart tracks the frequency of related media coverage and highlights the key themes over time. #30DayChartChallenge

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Steven Ponce @sponce1.bsky.social · 30/04/2026

📊 #30DayChartChallenge 2026 – day 30 . Uncertainties | Data Day — Global Health Data Exchange . 🔗: stevenponce.netlify.app/data_visuali... . #rstats | #r4ds | #dataviz | #ggplot2

A horizontal point-interval chart showing the 6 disease groups with the widest uncertainty in the 2021 Global Burden of Disease estimates. Each row shows a 95% uncertainty interval normalized to the central estimate at 1.0. Neglected tropical diseases and malaria have the widest span at 95% of their estimate; Musculoskeletal disorders have the narrowest at 60%. All intervals extend further right than left, indicating the upper bound is consistently farther from the estimate than the lower bound.

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Miki @mikipe.bsky.social · 30/04/2026

La pandemia oculta. Muertes globales por resistencia a antibióticos. Solo el E. coli causa el 17.3% de letalidad. Las masivas barras de incertidumbre revelan los vacíos de vigilancia mundial. 🦠📊 #30DayChartChallenge #Day30 #rstats

Gráfico de bosque (forest plot) sobre fondo oscuro. Título: 'La Pandemia Oculta: Superbacterias'. Eje Y lista 12 patógenos. Para cada uno, un punto circular marca el porcentaje de muertes atribuibles a resistencia, cruzado por una ancha barra horizontal magenta indicando el amplio intervalo de incertidumbre (95% UI). E. coli lidera con 17.3%.

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John Russell @drjohnrussell.com · 30/04/2026

#30DayChartChallenge Day 30 - Global Health Data Exchange Shortly after the pandemic, there was a survey around disruptions to learning during the pandemic. While one may think that the divide was country-based, the urban/rural split was worse. #dataviz code in #rstats: github.com/drjohnrussel...

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Melissa Hegeman @mel-likes-maps.bsky.social · 30/04/2026

Day 11 of #30DayChartChallenge: Physical 🏈 NFL players are getting heavier. But the most interesting line on this chart isn’t the biggest one. Offensive linemen have always been the heaviest players at the combine, but defensive linemen have closed the gap since 2000. #Rstats #DataViz

A line graph shows the median combine weight by NFL position from 2000 to the present, with defensive lines catching up to offensive lines in weight over time.

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Asjad Naqvi @asjadnaqvi.bsky.social · 30/04/2026

A recap of the #30DayChartChallenge 2026. Managed to make 18 visualizations, mostly with own #Stata packages. Almost all got updates and will releasing these soon. A GitHub repo or Guide with data+code incoming soon! Thank you all for the support!

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Rodrigo Barreiro @rodrigo404.bsky.social · 30/04/2026

I did it! 30 days of the #30DayChartChallenge 🏁 To survive, I used 22 R packages, forced a single color palette on everything, and shamelessly reuse of datasets. check out the full gallery + code here: below. catch me eating lunch in a non-grid format now. ✌️

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stevecarufel_ @stevecarufel.bsky.social · 30/04/2026

#30DayChartChallenge Day 22 : New Tool The river basins of #Quebec... ou ses bassins versants ⚜️🌊 With a few new-to-me things like {giscoR}, and HydroSHEDS type of data thanks to a tutorial by @milos_makes_maps #Rstats

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Yasar Sharfudeen @newbie2k25.bsky.social · 30/04/2026

Day 30 #30DayChartChallenge — Global Health Data Exchange Day Since 1990, global life expectancy has increased by 6 years. Beating enteric and lower respiratory infections contributed the most, while COVID-19 subtracted 1.6 years. Net gain: +6.0 years. Data: IHME GBD 2021 Tools: R + ggplot2

Horizontal waterfall chart on a dark navy background titled "How the world gained six years of life". Each row is a leading cause of death; each bar shows that cause's contribution to global life expectancy from 1990 to 2021, stacking cumulatively. Eight teal gain bars step right: enteric infections +1.12 years, lower respiratory infections +0.90, stroke +0.72, other communicable diseases +0.62, cancer +0.57, ischaemic heart disease +0.56, neonatal disorders +0.55, tuberculosis +0.52. A lavender bar rolls up ten smaller gains at +2.57 years. Two loss bars step back left: other pandemic-related mortality −0.52 (red) and COVID-19 −1.60 (orange). A final orange bar at the bottom shows the net change, +6.01 years, beside a large "+6.0 years of global life expectancy" callout. Source: IHME Global Burden of Disease Study 2021.

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Byte Charts @byte-charts.dev · 30/04/2026

Across Western Europe, many adults 55+ are dying more from accidental falls. Falls become more deadly as people age. #30DayChartChallenge: Day 30 | Global Health Data Exchange #DataViz #Rstats #ggplot

Dumbbell chart of Western European countries showing fall death rates for adults 55+ in 1980 vs 2023.

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Georgios Karamanis @karaman.is · 30/04/2026

And that's a wrap for #30DayChartChallenge! The personal theme for this year was Uppsala transportation. Additional constraints were using the same color palette, fonts, plot orientation and dimensions across all plots. #Rstats code for all 24 plots at github.com/gkaramanis/3... #dataviz

A 6-by-4 grid of 24 charts, all on the theme of Uppsala transportation for the #30DayChartChallenge

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Franco Guiragossian @dataviz.ar · 30/04/2026

These are the 25 countries that saw the greates increase in financial inclusion between 2011 and 2024. The world made remarkable progress in financial inclusion during this time, driven by digital inclusion (access to smartphones). #30DayChartChallenge | Day 29: Monochrome #dataviz

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Klaus Wiese @klauswiese.bsky.social · 30/04/2026

#Day30| Uncertainties – Data Day – Global Health Data Exchange | #30DayChartChallenge | Life Expectancy at Birth — Latin America & Caribbean. Built with #RStats using #ggplot2, #patchwork, #scales, #grid, #gridExtra and #tidyr.

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Melissa Hegeman @mel-likes-maps.bsky.social · 30/04/2026

Day 9 of #30DayChartChallenge: Wealth. Back to baseball data for this one. MLB salaries on a log scale, one decade per row, 1985 to 2016. The red line (median) creeps forward. The blue line (99th percentile) runs away from it. #rstats #dataviz

A series of graphs illustrates the distribution of Major League Baseball salaries across four decades, showing increasing median salaries and highlighting top earners.

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Melissa Hegeman @mel-likes-maps.bsky.social · 30/04/2026

Day 10 of #30DayChartChallenge: Pop culture 🎭 Every Disney princess leaves their mark on the baby name records. Six princesses. Six spikes. Even names that were already in use get a boost from the movies. #rstats #DataViz

A series of line graphs titled The Princess Effect shows spikes in the popularity of baby names Ariel, Belle, Jasmine, Tiana, Elsa, and Moana corresponding to the release years of their respective films.

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Surbhi Bhatia @surbhaai.bsky.social · 29/04/2026

#Day30: Global Health Data Exchange India’s health risk profile is shifting. Risks from unsafe water, poor sanitation, and undernutrition have declined. New threats such as air pollution, heat, and conditions like high blood pressure and sugar have climbed the ranks. #30DayChartChallenge #dataviz

A two-panel bump chart tracking health risk factors in India from 1990 to 2023, ranked by impact on disability-adjusted life years (DALYs). The left panel (in red) shows rising risks, with particulate matter pollution becoming the top risk, followed by high systolic blood pressure, high fasting plasma glucose, smoking, and high LDL cholesterol. High temperature also rises in rank over time. The right panel (in green) shows declining risks, led by improvements in child growth failure, low birth weight and short gestation, unsafe water, sanitation, and lack of handwashing facilities. Iron deficiency, vitamin A deficiency, and suboptimal breastfeeding also fall significantly in rank. Made for #30DayChartChallenge Day 30 prompt: Global Health Data Exchange

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Asjad Naqvi @asjadnaqvi.bsky.social · 29/04/2026

#30DayChartChallenge 2026, Day29: Monochrome. The ridgeline plot shows the distribution of bank lending interest rates for house loans in #Austria. The lucky ones bought theirs in 2021. The unlucky ones in 2024. Still conditions were worse in 2008. #dataviz #stataviz

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Ansgar Wolsing @ansgarw.bsky.social · 29/04/2026

In just one year, the Republicans have set US democracy back by decades. Since the inauguration, the Trump administration has not hesitated to dismantle critical institutions and checks and balances. #30DayChartChallenge | Day 29 - Monochrome #dataviz

2 line charts which show the trends in two democracy indices for the U.S.: Liberal Democracy and Electoral Democracy measured by V-Dem. The x axis shows years from 1950 to 2025. The y axis shows the index values from 0.4 to 1. Both indices show a steadily increasing trend from 1950 (values: 0.5 / 0.6) to the late 1970s / early 1980s (values: 0.8 / 0.85), followed by a stable period until 2001 with a decrease after 9/11. Indices improved from 2008 to 2016, but fell under the first Trump administration (esp. Liberal Democracy to 0.75). A partial recovery under Biden, then a steep decline in 2025 to 0.57 (LD) and 0.74 (ED).

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Surbhi Bhatia @surbhaai.bsky.social · 29/04/2026

#Day29: Monochrome Spending ₹100+ on a protein bar? Here's unpacking what you're paying for across popular options. #30DayChartChallenge #dataviz

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Byte Charts @byte-charts.dev · 29/04/2026

🐝 Western bumblebees are strongly affected by rising temperatures, changes in land cover, and pesticides and are declining rapidly #30DayChartChallenge: Day 29 | Monochrome #DataViz #Rstats #ggplot #bees

A line plot showing the decline of the Western bumblebee from 1998 to 2020, with a decline of 57%, and future projected scenarios with final population levels ranging from 22% to 1%.

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Georgios Karamanis @karaman.is · 29/04/2026

#day29 of #30DayChartChallenge, (almost) Monochrome code: github.com/gkaramanis/3... #RStats #dataviz

A horizontal bar chart titled "Boardings per km of service" with the subtitle "Swedish counties, public transport 2024". Each of Sweden's 21 counties is shown as a thick horizontal bar with the rounded value and county name displayed inline to the right. Stockholm stands out at the top with 5 boardings per offered kilometre, far ahead of Västra Götaland at 2.2 and Skåne at 1.6. Uppsala, highlighted in saffron, sits near the middle at 1.0. The remaining counties range from 0.9 down to 0.4, all shown in grey. Source: Trafikanalys.

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stevecarufel_ @stevecarufel.bsky.social · 29/04/2026

#30DayChartChallenge Day 25 : #Space Race to the moons! 🏁 🌝 🪐🪐 #Saturn and #Jupiter used to have roughly the same number of known moons but Saturn has taken the lead and is now quite far ahead. Maybe Jupe will catch up someday These are the satellites as officially recognized by the IAU #Rstats

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Ralitza Soultanova @ralitzas.bsky.social · 29/04/2026

Day 29 · #30DayChartChallenge · Monochrome 165 students guessed the sweets in a jar. Only 15% got within ±10% of the truth. Nearly 1 in 3 was off by more than half. And most of them felt confident. The humbling geometry of being wrong. #rstats #dataviz #statistics #teaching

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Miki @mikipe.bsky.social · 29/04/2026

La anatomía del desacuerdo. El 'Dot Plot' del FOMC de Marzo 2026. Sin colores, usando solo opacidad y geometría para mostrar la severa fractura del consenso en la FED sobre los tipos a futuro. ⚪⚫ #30DayChartChallenge #Day29 #rstats

Gráfico monocromático (grises y negro) sobre fondo blanco. Título: 'La Anatomía del Desacuerdo'. Una línea escalonada negra muestra la tasa de la FED histórica hasta 2023. A la derecha, para 2026 a 2028 y Largo Plazo, nubes de puntos agrupados simétricamente muestran las predicciones de los 19 miembros, revelando una fuerte polarización e incertidumbre.

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Steven Ponce @sponce1.bsky.social · 29/04/2026

📊 #30DayChartChallenge 2026 – day 29 . Uncertainties | Monochrome . 🔗: stevenponce.netlify.app/data_visuali... . #rstats | #r4ds | #dataviz | #ggplot2

Ridgeline chart showing the distribution of monthly global temperature anomalies by decade from the 1950s to the 2020s, with a single burgundy color scale: lighter shades represent earlier decades, and darker shades represent more recent ones. Each curve's width encodes variability. The 1950s and 1960s show wide, symmetric distributions centered near the 1951-1980 baseline of zero, while later decades show narrower distributions shifted to the right. The 2010s and 2020s curves, rendered in near-black oxblood, sit almost entirely above +0.5°C, showing that month-to-month uncertainty persists but the underlying warming signal has become consistent. A dashed vertical line marks the zero baseline. Two annotations frame the uncertainty-to-signal transition: "Wide = more uncertain" on the left and "Shifted right = persistent warmth" on the right. Title reads: "When warmth stops looking exceptional." Data source: NASA GISS Surface Temperature Analysis (GISTEMP v4).

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John Russell @drjohnrussell.com · 29/04/2026

#30DayChartChallenge Day 29 - Monochrome @boardgamegeek.com users are polled on what the ideal number of players are for different games. This #dataviz shows results, with some solo gamers popping in for certain games (and a lot of 3-4 player games). Code in #rstats: github.com/drjohnrussel...

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Surbhi Bhatia @surbhaai.bsky.social · 29/04/2026

#Day28: Modeling None of the three largest emitting nations are on track, or even pledging to meet the 1.5°C climate target of the Paris agreement, show projections. #30DayChartChallenge #dataviz

Slope chart titled “Off track for the Paris Promise” comparing 2023 emissions with 2030 projections for China, India, and the United States against the 1.5°C goal based on the Paris Agreement. For China, India, and the United States, projections for 2030 emissions under current policies and NDC pledges remain well above levels required for 1.5°C alignment. China’s emissions stay near current levels, far from the steeper cuts needed. India’s emissions rise under its pledge, instead of declining as required. The United States shows declines, but not enough to meet either its fair share or domestic 1.5°C pathways. Across all three, the gap between pledged action and required reductions remains large. Made for #30DayChartChallenge Day 28: Modeling

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Ralitza Soultanova @ralitzas.bsky.social · 28/04/2026

Day 28 · #30DayChartChallenge — Uncertainty 165 students guessed the sweets in a jar. 119 were confident they knew the answer. 119 were wrong in the same direction. One jar. One bias. One very good first stats class. 🍬 #rstats #dataviz #statistics #teaching

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Georgios Karamanis @karaman.is · 28/04/2026

#day28 of #30DayChartChallenge, Modeling code: github.com/gkaramanis/3... #RStats #dataviz

A line chart titled "2 500 kr by 2050?" showing the Uppsala public transport monthly pass price from 2014 to 2050. Black dots mark observed annual prices, rising from 790 kr in 2014 to 1 150 kr in 2026. A log-linear trend line, solid through 2026 and dashed for the projection, follows the observed data closely and extends to around 2 500 kr by 2050. A widening confidence band shows increasing uncertainty further into the projection. Source: UNT, UL.

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stevecarufel_ @stevecarufel.bsky.social · 28/04/2026

#30DayChartChallenge Day 21 : Historical Our #Habs #Canadiens road to the Stanley Cup in '93 🏒🏆 They lost only 4 times in the entire playoffs 🤯 lots of overtime wins though #GoHabsGo #nhl #Montreal #Rstats

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Ansgar Wolsing @ansgarw.bsky.social · 28/04/2026

Germany's future: 30 population projections 2025-2070 Projections by the Federal Statistics Office #30DayChartChallenge | Day 28 - Modeling #dataviz

A line chart titled “Germany's future: 30 population projections 2025-2070" showing 30 different population scenarios for Germany from 2025 to 2070.

28 lines trend downward, starting from 84M in 2025. Key data points for 2070 include:

- Maximum population: 86.5M (1 of only 2 growth scenarios).
- Constant at 2024 level: 81.8M.
- Minimum population: 63.9M.
- No external migration scenario: 59.6M (the lowest projection).

20 scenarios, the population decreases by more than 8 million people by 2070.

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