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Yield
Crow Hill View, Oldham, Oldham
OL4 5PR Oldham District (B)
This section gives the estimated property yield for the postcode based on our own unique algorithms, comparing it to the national average. We analyse gigabytes of data to explore why yields might be higher, lower, or in line with expectations. From local market trends to demand and property types, the data paints a clear picture of investment potential in OL4 5PR.
Estimated yield for property investors
5.7%
Yield
The estimated yield for the OL4 5PR postcode area is 5.7%, which is higher than the national average yield of 3.8%.


Summary
Property yields in OL4 5PR are lower than average, which might reflect a more mature or stable market where opportunities for high returns are limited.
The combination of lower yields and higher levels of crime might indicate that the area is significantly less desirable for high-return investments due to its lack of safety. However, it could still appeal to those seeking stable, long-term growth.
The urban nature of OL4 5PR suggests that the area is well-connected and densely populated, which typically correlates with strong rental demand and potentially higher yields.
With a lower rate of home ownership, the rental market in OL4 5PR is likely more active, offering greater opportunities for investors to capitalise on demand.
Despite the urban appeal, a lower safety score might deter some potential tenants, which could impact rental demand and yield stability.
Factors affecting yield in OL4 5PR
Understanding property yield involves considering various factors like affordability, income, and crime rates. These elements influence rental demand, property values, and ultimately, the return on investment.
Property Yield (%)
Property yield indicates the rental income return compared to the property's value. A higher yield can suggest a stronger investment, driven by the local housing market and rental rates.
Property Affordability
Property affordability is gauged by comparing housing prices to average earnings in OL4 5PR. In regions where affordability is low, yields might increase due to higher rents, but buyer interest could be subdued, influencing long-term appreciation.
Rental Affordability
This evaluates how much of a household's income is dedicated to rent for people in OL4 5PR. High rental costs relative to income could weaken tenant demand, reducing yield. In contrast, affordable rent can attract tenants who stay longer, ensuring a more stable yield.
Household Income
When household income is high, residents are often able to pay higher rents, which could improve yields. Yet, in more affluent areas, the higher property prices might result in a lower yield percentage, even with healthy rental income.
Urban Location
Higher yields are frequently observed in urban areas due to strong demand from renters, particularly among a young, mobile workforce. However, the high property costs typical of urban areas can balance out rental income, potentially lowering yield percentages.
Employment Score
When unemployment is high, it often reflects economic instability, leading to lower rental demand and higher vacancy rates, which can decrease yield. Conversely, high employment rates suggests economic stability, boosting rental demand and improving yields.
Outright Ownership
High outright ownership rates often suggest a more settled community with reduced rental demand, which might lower yields. Conversely, areas with fewer outright owners could see more demand for rental properties, potentially improving yields.
Crime & Safety Levels
High crime rates often lead to a decrease in renter interest and property values, resulting in lower yields. On the other hand, low crime rates make areas more appealing, which can enhance rental income, property values, and yields.
Best Performing Yields
The following postcodes within the OL4 location current have the highest performing yields:
Methodology
Our property yield estimates are derived from a custom algorithm built by PostcodeArea that combines data from the Census 2021 and other reliable third-party sources.
This algorithm evaluates several key factors - including affordability, rental affordability, household income, urbanisation, unemployment rates, property ownership levels, and safety. We do this by assigning weighted scores to each factor. These factors are chosen for their relevance to property investment, with the yield percentage itself carrying the most weight due to its direct impact on potential returns.
The algorithm also incorporates conditional logic to assess how different combinations of these factors might influence property yield. For example, a neighbourhood with high rental affordability and strong income levels might indicate robust rental demand, leading to higher yields.
Conversely, areas with high unemployment and low income could see reduced rental demand, potentially lowering yields.
By considering these interactions, the algorithm provides a more nuanced estimate than simple averages or single-factor analyses.
It's important to note that these yield figures are general estimates intended as a guide rather than precise calculations. While the algorithm offers valuable insights based on historical and statistical data, it may not fully capture the unique aspects of each neighbourhood or current market conditions.
Investors should use this information as a starting point for further analysis and consider it alongside other factors such as market trends and personal financial goals.