For the sixteeth #30MapsInAMonth are two map showing the watershed shortest walking route to the heavy rail stations in Britian. This uses @openstreetmap highway, road and path data for routing, scaled to show the number people who might take that path.

The first shows routes based on @WorldPopProject 1km² data
The second shows routes based on data from the UK #Census2021

#Rail #Passenger #PublicTransport #GreatBritain #OpenData #30dayMapChallenge

These are also a fuzzy mess, and I need to get these on to a set of scalable map tiles or similar. But it has taken three months to get the shortest path code to work in anything approximately equal to a reasonable time, so this is all I've currently got.

#DataVisualisation #Census2021 #Census2011 #EnglandWales

3/n

I wonder how much of my life I have spent trying to match census data to find that I am using the wrong census Output Area geography because it is the old 2001/2011 geography for a 2011/2021 dataset.

#Census2021#DataVisualization

The biggest highlight of the #Census2021 programme was probably the release of #CensusMaps, which made neighbourhood-level census data truly available to the general public for the first time...
https://www.ons.gov.uk/census/maps
4/7
Census Maps - Census 2021 data interactive, ONS

Census maps is an interactive tool to explore Census 2021 data across England and Wales for different topics down to a neighbourhood level.

I joined the ONS #datavis team in this same role at the start of the #Census2021 programme in 2020, and it was a truly fantastic experience. This article for the Data Visualization Society outlines the early ideas and concepts for communicating the census... https://medium.com/nightingale/making-census-data-open-accessible-and-useful-for-real-people-f3ffb167913a
2/7
Making Census Data Open, Accessible and Useful for Real People

This year and next are seeing 10-year national population and housing censuses taking place in scores of countries around the world (India, Brazil, Nigeria, USA, Germany, Turkey, etc.), and with…

Nightingale

The ONS continues to analyse the data from #census2021 & publish interesting stuff

Here's a link to attitudes of young people about the future & their prospects.

You'll not be surprised to see that rates of optimism track household income levels, but perhaps more heartening is despite everything pessimism remains a relatively minority issue.

This may be the joyous optimism of the young before it has met the brick wall of reality, but lets hope they retain some if it

https://www.ons.gov.uk/peoplepopulationandcommunity/educationandchildcare/articles/youngpeoplefromdisadvantagedbackgroundsfeellessincontroloftheirfutures/2023-11-06

Young people from disadvantaged backgrounds feel less in control of their futures - Office for National Statistics

Young people’s attitudes about their futures vary by household income, deprivation, and parental education levels

Finally. You can find all of the raw #Census2021 origin-destination data on Nomis. Pls note that the small area datasets (MSOA and OA-level) contain more than one million rows, so will not open using standard software like Excel or LibreOffice Calc https://www.nomisweb.co.uk/sources/census_2021_od
5/
Origin-destination data, England and Wales: Census 2021 - Nomis - Official Census and Labour Market Statistics

nomis - official labour market statistics

You can also read more about #Census2021 origin-destination data for England and Wales in this bulletin that was published last month. It also talks about the data for second homes, which is not included in the interactive tool. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/bulletins/origindestinationdataenglandandwales/census2021
4/
Origin-destination data, England and Wales - Office for National Statistics

Overview of people’s movements between locations to migrate, for work, or to stay at a second address, from Census 2021 in England and Wales

🗺️📊🚨New snazzy interactive tool for #geography and #stats nerds!

Explore #Census2021 flows data. See where people lived and worked, and where they moved to/from in the year before census (**see data caveats in 🧵**) https://www.ons.gov.uk/visualisations/censusorigindestination/

#geographyteacher #gischat
1/