Data source: ONS UK House Price Index. Tools used: R (ggplot2). Each panel shows average house price over time with a trend line. Colour coding indicates growth tier — green = high growth, yellow = medium, red = low/negative. 1yr figure = last 12 months growth, 5yr = annualised rate over 5 years. Full methodology and data at [https://databait.co.uk](https://databait.co.uk)
ThePistachioBogeyman on
Good old London with double the price scale,
and basically triple some areas
SpinIx2 on
Pretty sure using different origin values on your y axes is unhelpful.
the_ak on
I would suggest aligning the y axis to be same on all
mildperil_ on
These all need to be on the same scale Y axis or comparison is meaningless.
No_Communication5538 on
Is good data presented well – though requires some concentration from viewer. Sobering that recent prices are falling steeply and are almost all are below the long term trend line (whatever estate agents may be telling you).
Silicon-Based on
So much for all of those enlightened redditors saying Gen Z should just save up to buy a house outside of London (as if the jobs there are automatically compatible with their qualifications, but I digress). At this rate that won’t be possible either.
House prices must drop substantially if the younger generation are to have any chance at a decent start to adult life. People must get comfortable with their home equity going into the red for prolonged periods of time.
sjintje on
I was expecting to see noticeable drops in the last year. The data looks „better“ than sentiment.
cowboysted on
The 2008 property bubble in Northern Ireland was shocking. How was that allowed to happen.
Xerphiel on
Very interesting, I’d love an equivalent adjusted for inflation
LoneSnark on
Seems to me like they need to build more housing. Would produce jobs, people would have somewhere to live, and prices would come back down.
rb4457 on
Would be good to inflation adjust it, and I’d probably prefer cumulative % changes to nominal values.
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Data source: ONS UK House Price Index. Tools used: R (ggplot2). Each panel shows average house price over time with a trend line. Colour coding indicates growth tier — green = high growth, yellow = medium, red = low/negative. 1yr figure = last 12 months growth, 5yr = annualised rate over 5 years. Full methodology and data at [https://databait.co.uk](https://databait.co.uk)
Good old London with double the price scale,
and basically triple some areas
Pretty sure using different origin values on your y axes is unhelpful.
I would suggest aligning the y axis to be same on all
These all need to be on the same scale Y axis or comparison is meaningless.
Is good data presented well – though requires some concentration from viewer. Sobering that recent prices are falling steeply and are almost all are below the long term trend line (whatever estate agents may be telling you).
So much for all of those enlightened redditors saying Gen Z should just save up to buy a house outside of London (as if the jobs there are automatically compatible with their qualifications, but I digress). At this rate that won’t be possible either.
House prices must drop substantially if the younger generation are to have any chance at a decent start to adult life. People must get comfortable with their home equity going into the red for prolonged periods of time.
I was expecting to see noticeable drops in the last year. The data looks „better“ than sentiment.
The 2008 property bubble in Northern Ireland was shocking. How was that allowed to happen.
Very interesting, I’d love an equivalent adjusted for inflation
Seems to me like they need to build more housing. Would produce jobs, people would have somewhere to live, and prices would come back down.
Would be good to inflation adjust it, and I’d probably prefer cumulative % changes to nominal values.