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Dataloft Rental Market Analytics

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Dataloft Briefing notes 11: Ranking cities on their rental potential

In this Briefing note we draw on results from our Rental Potential Model. Looking across 60 cities and towns; we’ve identified the strongest relationships which explain high rents, using correlations to express the strength of the relationship as a percentage.

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Dataloft Briefing notes 9: Eco-Step Scores – measuring biodiversity in urban areas

Eco-Step Scores measure the biodiversity potential of an urban area. Environmental credentials have become a priority for investors and consumers. The government, in its Levelling Up White Paper, put an emphasis on bringing wildlife back into our publicly accessible green spaces – which is more complicated than simply adding more
green space.

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Dataloft Briefing notes 7:  Moving renters – How long do renters stay in their homes?

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Dataloft Briefing notes 7: Moving renters – How long do renters stay in their homes?

In the latest in our series of Briefing notes we explore the question of how long renters spend in rented accommodation.

To investigate this question, we delved into a subset of Dataloft Rental Market Analytics (DRMA), our rent paid and tenant demographic dataset. The analysis concentrated on renters whose previous home had also been in the private rented sector.

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Data in a time of Covid

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Data in a time of Covid

Covid-19 has taken an unprecedented toll on many things in the last few months, no less the different sources of data which commentators rely on to report on trends across the property market. This period will make it more challenging for many to report on accurate trends across the sector.

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