Our Hip Hang-Out Neighbourhood Index covers up-and-coming neighbourhoods in the UK and Europe that we think will get trendy travellers excited in 2017 and beyond. And no, we haven’t based the ranking on beard-to-face ratios – although that was rather tempting! Instead, we looked at everything from trendy coffee shops and vintage fashion outposts, to traveller value and creative culture – anything that would set a destination apart from the rest of the pack.
This represents the shops/services/hang-outs usually found in areas that are becoming or are newly hip. It measures the ratio of typical trend-setting markers, such as independent coffee shops, vintage fashion stores, vinyl record shops, vegan cafes and independent bike shops, to the number of residents in that area. We added up all these places and divided that number by how many people lived there to find this ratio, which was then scored out of ten to give us a Hip Culture Outpost Density score.
The aim of the index was to find up-and-coming areas across the UK and Europe that had not yet reached what we refer to as ‘peak hipster’. This is when big chains start moving into an area and property prices start booming. We couldn’t measure property prices to this scale, so penalty points were subtracted from the Hip Culture Outpost Density for areas that had high numbers of chain stores, such as Starbucks, Costa, Pret a Manger and Café Nero.
This was an important metric, because creative jobs and hubs are often a sign that an area is becoming fashionable. Following the same type of scoring as the Hip Culture Outpost Density, we measured the ratio of creative industry indicators such as co-working spaces and art galleries/studios to the number of residents and then scored it out of ten.
This simply shows whether a neighbourhood is good value to stay in. We looked at the potential savings to be made (or not) for travellers staying in these neighbourhoods, rather than the city centre – this was worked out by comparing the price difference between the cost of staying in the most expensive hotel in the identified neighbourhood to that of the most expensive hotel in the city centre. Again, we then used these findings to score the area out of ten.