HIP Pack type info service

The idea of the HIP Pack has been to make it easier for people buying houses to have a full picture of what they are buying. Often peoples questions are not going to be about the house but the area. (E.g. Moving to get closer to schools e.t.c.)

It would be good to help extend this with extra public data that cover the "not so tangible" elements to give a fuller picture.

How about extra demographic summary information.
Schools performance.
Council tax.
Funding from government in the area (redevelopment).
Age, Sex and Marital status of local area.
Crime information.
Level of people on benefits in the area?
NHS Performance.
House holds migrating from the area / into the area.

This information would also be of benefit for local council analysis of the area to help direct funding / focus resources

Submitter name: 
Steve Ball, Designer-Software


Anything would be an improvement...

Having just bought a house, the HIP was next to useless. Having some useful content would be a dramatic improvement.
Good suggestions here.

 Flag as offensive 

Steve, That is a good idea.


That is a good idea. With regards to the school what would be good would be to have the catchment area of schools coming up in a map type format. I am not sure if this data is stored mind you.


 Flag as offensive 

HIP Pack type info service

Further to Steve Ball's comment on 08/01/2010, there already exists a property search which can be purchased that will provide the information he mentions. Its trade name is known as a plansearch plus. As a conveyancer, I include this search in all property reports when a client is buying. For it to be added to the HIP, it will need to become an authorised document. It is then up to the seller whether they pay the extra expense.

 Flag as offensive 

great idea

I would personally love to see this infomation on buy a property.

However on the flip-side, i think it could encourage segregation in the community which is not going to help with some of the social issues Britain faces today.

 Flag as offensive 

I second this.

I second this remark - unfortunately there is this flip-side of community segregation (which I generally don't agree with)...
But this effect could actually be mitigated (perhaps even reversed, so that published data would help bring about equilibrium in society.)

I have friends from another city who almost bought a house in a part of town where all the drug dealers live, and regularly shoot at each other. They thought the housing was surprisingly good value-for-money. The deal fell through at the last minute. Lucky for them!
They're a good couple with a baby daughter. Should they have to rely on luck, to save themselves from being razed to the ground, burgled and then burnt out by scum like this? (Yes, this sort of thing regularly happens on the estate I'm thinking of.)

The basic problem with most broad-brush statistics is, they don't tell the whole story. Communities that measure "just above average" or "just below average" might be unfairly praised or stigmatised. On the other hand, one can say with much greater confidence that communities in the top 5-10% or bottom 5-10% for any of the listed factors probably deserve their place there, and should be praised and rewarded, or named and shamed (and dealt with.) It's the areas on the extreme ends of your Normal distribution that should be highlighted in red and blue on your map.

One of the weird examples mentioned by the person who came up with this idea - sex-ratio. (I think this is what they mean.) Suppose you were a 20-year-old man living in a small town with a 60-40 male-female sex-ratio at marriageable age. Suppose you had a job that tied you to the local area six days a week. Would you want to stay put? Sure, you could rely on luck. You could turn on the charm (like the other 60% of the male population would.) But someone would lose out. Are you going to leave it to chance, trust in your pulling power, or make your move and take control of the situation?

Weird demonstration I admit (really not my situation) but it probably demonstrates how better data could empower people in making real-life personal decisions. This example also (hopefully) shows how the dissemination of some of these types of data might actually help bring about greater balance in society.

 Flag as offensive