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Yield
Victoria St, Totnes
TQ9 5DN South Hams District
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 TQ9 5DN.
Estimated yield for property investors
3.1%
Yield
The estimated yield for the TQ9 5DN postcode area is 3.1%, which is lower than the national average yield of 3.8%.


Summary
The TQ9 5DN area has a lower yield, but its high safety score makes it a stable, if not lucrative, investment option - in the long term. Investors seeking long-term stability rather than high returns might find this area appealing.
Property yields in TQ9 5DN are lower than average, which might reflect a more mature or stable market where opportunities for high returns are limited.
However, the high safety score adds value to the area, potentially attracting long-term tenants or buyers who prioritixe security, making it a stable investment option.
The less urban nature of TQ9 5DN suggests a more suburban or rural setting, which could mean lower rental demand but potentially higher property values if the area is considered desirable for homebuyers.
The high ownership rate in this less urban area could indicate a strong preference for long-term residency, which might limit rental opportunities but could ensure more stable property values.
Factors affecting yield in TQ9 5DN
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 (%)
This is the return on investment from a property, typically calculated by dividing annual rental income by the property's value. A higher yield in TQ9 5DN suggests better profitability, influenced by local demand, property prices, and rental rates.
Property Affordability
This evaluates the affordability of homes in relation to the average income in TQ9 5DN. When affordability is low, rental prices may increase, which could boost yields, but it could also hinder buyer interest, affecting property value growth.
Rental Affordability
Rental affordability indicates the share of income spent on rent. Excessive rents in TQ9 5DN compared to income might dampen tenant demand and decrease yields, while balanced rents can attract and retain tenants, ensuring stable yields.
Household Income
Higher income levels among households can result in higher rents and better yields. Conversely, in areas where affluence drives up property prices, the yield percentage might be lower, even if rental income is strong.
Urban Location
Yields in urban areas are often higher because of high renter demand, especially in cities attracting a young, mobile workforce. However, these areas typically have higher property prices, which can reduce the yield percentage.
Employment Score
High unemployment can indicate economic challenges, leading to lower rental demand and higher vacancy rates, which negatively impact yields. In contrast, low unemployment usually signifies a stable economy, resulting in stronger rental demand and higher yields.
Outright Ownership
A large percentage of outright homeowners often indicates a stable community with less demand for rentals, potentially lowering yields. Conversely, areas with fewer outright owners might experience higher rental demand, resulting in better yields.
Crime & Safety Levels
Areas with high crime rates can be less appealing to renters, leading to lower property values and yields. On the other hand, low crime rates attract renters and buyers, increasing both rental income and property values, thereby improving yield.
Best Performing Yields
The following postcodes within the TQ9 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.