How many people?

Here we start a demoscene experiment to explore population data.

# Our World in Data

Our World in Data makes the data very accessible with clear policies around citation:

- Population (10,000 BCE to 2023) - ourworldindata

Here is an svg from the site:

Population, 10,000 BCE to 202310,000 BCE20238,000 BCE6,000 BCE4,000 BCE2,000 BCE001 billion2 billion3 billion4 billion5 billion6 billion7 billion8 billionWorldAsiaAfricaEuropeNorth AmericaSouth AmericaOceaniaData source: HYDE (2023); Gapminder (2022); UN WPP (2024)Note: Country data is always based on current geographical borders.OurWorldinData.org/population-growth | CC BY

And here is a png to which I've added the long and ugly citation (would be better as it's own wiki page):

HYDE (2023); Gapminder (2022); UN WPP (2024) – with major processing by Our World in Data. “Population – HYDE, Gapminder, UN – Long-run data” [dataset]. PBL Netherlands Environmental Assessment Agency, “History Database of the Global Environment 3.3”; Gapminder, “Population v7”; United Nations, “World Population Prospects”; Gapminder, “Systema Globalis” [original data]. Retrieved October 5, 2025 from https://archive.ourworldindata.org/20250929-103213/grapher/population.html (archived on September 29, 2025).

Data

HYDE (2023); Gapminder (2022); UN WPP (2024) – with major processing by Our World in Data

Here is the raw data, which was downloaded as a csv and dropped onto an about-future-plugin to import the data as structured json within the `story` element of this page.json

Double click on the About Data Plugin to view the json structure. How can we visualise this data? Perhaps because the file is too large i could import the full csv data but not save the changes.

Here is the Population README that comes as part of the zip download of filtered data. The filtered data works well adn adding the minimal citation to the about data plugin functions well.

Here are some links to the full data which is accessible via the api: - Population Metadata - json - Population Data - csv

-

# Scientific American The following explores the data contained in this Scientific American article by Manon Bischoff (edited by Daisy Yuhas) - scientificamerican.com

This article is a nice exploration of the maths we can use to interpret the figures.

Here is an svg based on these figures.

Year Population (in millions) Life expectancy 50,000 B.C.E. 8000 1 C.E. 1200 1650 1750 1850 1900 1950 2025 0 5 300 450 500 795 1,265 1,656 2,516 8,200 13 13 17 17 22 28 29 38 46 73

Here is the same data presented in an html table:

Year 50k 8k 1 CE 1200 1650 1750 1850 1900 1950 2025
Pop (M) 0 5 300 450 500 795 1265 1656 2516 8200
Life 13 13 17 17 22 28 29 38 46 73

Here is a basic html table with no formatting:

World population and life expectancy across selected years
Year 50,000
B.C.E.
8000 1 C.E. 1200 1650 1750 1850 1900 1950 2025
Population
(in millions)
05300450 5007951,2651,656 2,5168,200
Life
expectancy
13131717 22282938 4673