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Yield
Fox St, Heywood, Heywood
OL10 1FG Rochdale 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 OL10 1FG.
Estimated yield for property investors
5.5%
Yield
The estimated yield for the OL10 1FG postcode area is 5.5%, which is higher than the national average yield of 3.8%.
Summary
Property yields in OL10 1FG 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 OL10 1FG 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 OL10 1FG 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 OL10 1FG
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 (%)
Yield is the annual rental income as a proportion of the property's value. It's a key indicator of profitability, with higher yields often reflecting stronger rental markets and demand.
Property Affordability
Affordability measures the relationship between property costs and local incomes. Less affordable areas might see rent increases that boost yields, but the reduced buyer interest could impact long-term property values.
Rental Affordability
This indicates how much of household income is spent on rent. If rents in OL10 1FG are too high compared to income, it might limit tenant demand, reducing yield. Conversely, balanced rental affordability can attract long-term tenants, stabilising yield.
Household Income
Higher household incomes can support higher rents, leading to potentially better yields. But in affluent areas, the increased property prices may reduce the yield percentage, even with solid rental income.
Urban Location
Higher yields are common in urban areas due to strong renter demand, especially in cities with a young and mobile workforce. Yet, higher property prices in these regions can reduce the yield percentage, balancing out the rental income.
Employment Score
Unemployment is a key economic indicator; low employment levels can reduce rental demand and raise vacancy rates, negatively affecting yields. High employment usually signals a stable economy, leading to stronger rental demand and better yields.
Outright Ownership
Communities with high levels of outright home ownership are usually more stable, with less rental demand, which might lower yields. Areas with fewer outright owners may have a higher proportion of rental properties, leading to better yields.
Crime & Safety Levels
Areas with high crime rates can see reduced renter demand, falling property values, and lower yields. In contrast, low crime rates tend to attract renters and buyers, leading to higher property values and yields.
Best Performing Yields
The following postcodes within the OL10 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.
