All Information for Wilmslow Road, Manchester, M20 6UG postcode

The area containing Wilmslow Road, Manchester consists predominantly of flats, which is common in inner cities, student neighbourhoods and poorer suburban settings. Be aware that the numbers might encompass nearby streets. Refer to the Summary tab for a detailed explanation and a map indicating the covered area.

The area containing Wilmslow Road, Manchester contains a higher-than-average level of rented housing (excluding social housing) - 45% of household spaces. This contrasts with the national average of just over 20%.

This data provides the total count of usual residents in each household. It doesn't account for under- or over-occupancy.

The region including Wilmslow Road, Manchester consists predominantly of single-family households, which is more common in suburban areas.

For the 2021 census, household deprivation was assessed based on four criteria: employment, education, health/disability, and overcrowding.

Across the entirety of the UK, the gender distribution is nearly even, with 49% being male and 51% female. This address in Manchester, Withington constituency is broadly in line with those figures, with 48% male.

Across the entirety of the UK, the median age stands at 40. Typically, urban centers have a higher density of individuals aged 18-30, while suburbs often have more young children and adults between 30-50. Rural areas and smaller towns tend to attract older workers and retirees. In contrast, many economically disadvantaged areas don't show a dominant age group, a situation influenced by residents' circumstances limiting their choices on where to retire, start families, or spend their youth.

Statistics regarding relationship status exclude individuals under 16 and family members between 16-18 who are in full-time education. With the enactment of the Civil Partnership Act in 2019, the 2021/2022 census data no longer separates same-sex relationships as a distinct category. Civil partnerships are now integrated into the general categories, such as Married, Divorced, and the like.

This area is fit as a fiddle, with over 90% of the population reporting themselves as being in Good or Very Good health at this address.

The qualification categories align with current naming conventions. Previous Ordinary Levels (O-Levels) and CSEs are incorporated into the GCSE statistics, while former Higher School Certificates (HSCs) are classified as A Levels.

As whole, the UK population claims itself as approximately 82.2% white, with this area being 83% white.

During the 2021 census, about 83.4% of the UK's resident population were native-born. The remaining population consisted of 6.9% from European nations, 5.4% from Middle Eastern or Asian regions, 2.6% from African countries, and 1.7% from other parts of the globe.

The duration of a person's residence in the UK is determined from their most recent arrival (excluding brief trips or vacations outside the UK). Yet, individuals born in the UK who later emigrated and subsequently returned are still categorized as "Born in the United Kingdom".

Keep in mind that a person might possess multiple passports. The data might also encompass individuals residing in nearby locations to M20 6UG

In England and Wales, Christians form the largest religious group, encompassing 46.2% of the population. Yet, a significant 37.2% declare they have no religious affiliation, a notable rise from the 25.1% in the 2011 census. Meanwhile, 6.5% identify as Muslim, 1.7% as Hindu, 0.9% as Sikh, 0.5% as Buddhist, 0.5% as Jewish, and 0.6% affiliate with other faiths. The remaining 6% chose not to specify their religious beliefs.

The 2021 census took place during a downturn in economic activity caused by the COVID-19 pandemic. Consequently, caution is advised when analyzing data related to labor market involvement.

This information pertains to residents aged 16 and over on census day 2021 who were employed. The categories utilized are derived from the Standard Occupational Classification (SOC) 2020.

Classifications are determined using an algorithm developed by the National Statistics Agency, known as the Socio-economic Classification (NS-SEC).