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I'm in the process of importing the latest house price data to the website. House prices are continuing to fall and sales continue to look on the low side. I guess this will continue until interest rates start to fall

I've uploaded the latest house price data from the Land Registry to the website. Prices continue to slide. If they fall again next month, it will be the longest period of sustained falls since 2012. Sales are trickier to evaluate since it can take some time for all the data to come in but they still look on the low side.

I've imported the latest postcode data from the ONS to the website. I had some issues with parishes, the postcodes reference new parish codes but the parish name lookups still use the old codes, so I've had to manually fix up the data, which I may well have messed up. If you notice any issues with parishes or anywhere else in the postcode data, let me know

The website is churning through the latest data from the Land Registry and the top line numbers are now online. Sales volumes still look low and the the fall in prices continues. Maybe there'll be another Stamp Duty holiday to turn the numbers around in time for an election.

I've also recently updated the average income data by MSOA area. The data is released rather slowly by the ONS, so we are only now able to get it for 2020. Perhaps unsurprisingly, pretty much all the areas with the highest incomes are in London and the South East of England. I could highlight some of the areas at the top of the list, but the confidence intervals are so large I suspect this may not be that informative. If you want to see the original data, you can download it directly from the ONS.

I've updated the site to include details of another level of administrative area, county electoral divisions. For example - Cambridgeshire postcodes

You can grab the data as CSV, KML, GeoJSON and Shape files. Let me know if you hit any problems.

In unrelated news, I've adjusted the blog subscription so you can subscribe just for blog posts about website updates or for all updates, since I occasionally rant about random subjects that most subscribers probably aren't interested in. If you've signed up already, you will only receive notifications about website updates. If you want to sign up for everything, currently you'll need to unsubscribe and sign up again. If you haven't signed up and would like to, head over to the sign-up page

I've uploaded the latest Land Registry website data to the website. Perhaps unsurprisingly, house prices are now falling and sales volumes don't look very healthy

I've added usage data for GB stations for the April 2022 to March 2023 time period. Whilst most stations still haven't returned to their pre-pandemic usage, the Elizabeth line appears to have been a huge success, with many of the stations along it achieving record numbers of passengers. The most used station is no longer London Waterloo, which has held the record for every year apart from 2021, but rather London Liverpool Street.

I've also updated the station stats page so you can explore the historic usage data

I've uploaded the latest ONS postcode data. There is an issue with ITL codes in the Northamptonshire area which I can't currently resolve but I will keep an eye out for updated data from the ONS. If you see any other problems, let me know

The server is currently churning through the latest house price data from the Land Registry. The trend continues, the number of sales is falling and prices are dropping with the annual percentage change likely to turn negative next month. The rise in interest rates finally seems to be having an effect.

I was complaining recently about the poor state of UPRN data. But it turns out I was mostly wrong and the problem was my poor research abilities (or things have changed for the better recently). A Disqus conversation led me to this page which provides the links between different identifiers.

These are all CSV files that can be imported into your favourite database. To get the street name of a UPRN, we need to download the UPRN -> USRN links file. Once we've got the USRN, we need to download the Road TOID -> USRN links file. Once we've got the TOID, we can link to the street name using the OS Open Names download (it's probably also possible to do this using the OS Open Roads download but that's a bit more difficult to process).

We're still not able to construct an open version of PAF but we are slowly creeping closer towards that. 

So I've pulled all that data into this site and started displaying it in a couple of places (like here and here) but I'm keen to hear suggestions for other potential uses for this data e.g. all the roads in a postcode area/district/sector, all the postcodes for a road. 

One thing to note. The OS provides a UPRN dataset and the ONS also provides a UPRN dataset. The OS version doesn't include postcodes but the ONS version does so is likely to be somewhat more useful.

Update - I'm not convinced the data provided in the linked identifiers is completely accurate. I noticed some strange results for some roads, so tried re-importing using the RoadLink TOID rather than the USRN (there's a useful diagram in this document that shows how everything links together). That gave better results but still not entirely accurate, this postcode shows two properties on the wrong street. I guess it's better than nothing but you're probably still better off purchasing PAF currently

Update 2 - Since I still wasn't happy with the results I was getting, I returned to the USRN to road TOID links and tried a different approach. The basic problem we have to deal with is that a single USRN can map to multiple road TOIDs. Most of these TOIDs aren't related to the USRN other than they intersect it. So I summed the distance from each UPRN to the centre point of each TOID. I'm now assuming the TOID that has the lowest value for this calculation is the TOID of interest. So far the results seem sensible. Let me know if you spot any oddities