The average house price in England started to increase in the first half of 2024, after falling by over three percent year-on-year in December 2023. In June 2024, the house price index amounted to 149.7 index points, suggesting an increase in house prices of 2.4 percent since the same month in 2023 and a roughly 50 percent rise since 2015 - the baseline year for the index. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

United Kingdom House Price: Qtr: Outer South East data was reported at 281,751.619 GBP in Jun 2018. This records an increase from the previous number of 277,242.091 GBP for Mar 2018. United Kingdom House Price: Qtr: Outer South East data is updated quarterly, averaging 71,133.239 GBP from Dec 1973 (Median) to Jun 2018, with 179 observations. The data reached an all-time high of 281,751.619 GBP in Jun 2018 and a record low of 10,870.815 GBP in Jun 1974. United Kingdom House Price: Qtr: Outer South East data remains active status in CEIC and is reported by Nationwide. The data is categorized under Global Database’s UK – Table UK.P001: House Price: Nationwide.

House prices in the UK rose dramatically during the coronavirus pandemic, with growth slowing down in 2022 and turning negative in 2023. The year-on-year annual house price change peaked at 14 percent in July 2022. In April 2025, house prices increased by 3.5 percent. As of late 2024, the average house price was close to 290,000 British pounds. Correction in housing prices: a European phenomenon The trend of a growing residential real estate market was not exclusive to the UK during the pandemic. Likewise, many European countries experienced falling prices in 2023. When comparing residential property RHPI (price index in real terms, e.g. corrected for inflation), countries such as Germany, France, Italy, and Spain also saw prices decline. Sweden, one of the countries with the fastest growing residential markets, saw one of the largest declines in prices. How has demand for UK housing changed since the outbreak of the coronavirus? The easing of the lockdown was followed by a dramatic increase in home sales. In November 2020, the number of mortgage approvals reached an all-time high of over 107,000. One of the reasons for the housing boom were the low mortgage rates, allowing home buyers to take out a loan with an interest rate as low as 2.5 percent. That changed as the Bank of England started to raise the base lending rate, resulting in higher borrowing costs and a decline in homebuyer sentiment.

United States House Price Index: FHFA: Purchase Only: sa: East South Central data was reported at 240.750 Jan1991=100 in May 2018. This records an increase from the previous number of 237.140 Jan1991=100 for Apr 2018. United States House Price Index: FHFA: Purchase Only: sa: East South Central data is updated monthly, averaging 170.680 Jan1991=100 from Jan 1991 (Median) to May 2018, with 329 observations. The data reached an all-time high of 240.750 Jan1991=100 in May 2018 and a record low of 100.000 Jan1991=100 in Jan 1991. United States House Price Index: FHFA: Purchase Only: sa: East South Central data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s USA – Table US.EB014: House Price Index.

The year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

United States House Price Index: FHFA: Expanded: sa: East South Central data was reported at 212.330 Jan1991=100 in Mar 2018. This records an increase from the previous number of 209.410 Jan1991=100 for Dec 2017. United States House Price Index: FHFA: Expanded: sa: East South Central data is updated quarterly, averaging 164.640 Jan1991=100 from Mar 1991 (Median) to Mar 2018, with 109 observations. The data reached an all-time high of 212.330 Jan1991=100 in Mar 2018 and a record low of 100.000 Jan1991=100 in Mar 1991. United States House Price Index: FHFA: Expanded: sa: East South Central data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s USA – Table US.EB015: House Price Index: Expanded.

United States House Price Index: FHFA: East South Central data was reported at 339.840 Mar1980=100 in Jun 2018. This records an increase from the previous number of 333.020 Mar1980=100 for Mar 2018. United States House Price Index: FHFA: East South Central data is updated quarterly, averaging 184.275 Mar1980=100 from Mar 1975 (Median) to Jun 2018, with 174 observations. The data reached an all-time high of 339.840 Mar1980=100 in Jun 2018 and a record low of 68.260 Mar1980=100 in Jun 1975. United States House Price Index: FHFA: East South Central data remains active status in CEIC and is reported by Federal Housing Finance Agency. The data is categorized under Global Database’s United States – Table US.EB014: House Price Index.

Just as in many other countries, the housing market in the UK grew substantially during the coronavirus pandemic, fueled by robust demand and low borrowing costs. Nevertheless, high inflation and the increase in mortgage rates has led to house price growth slowing down. According to the forecast, 2024 is expected to see house prices decrease by ***** percent. Between 2024 and 2028, the average house price growth is projected at *** percent. A contraction after a period of continuous growth In June 2022, the UK's house price index exceeded *** index points, meaning that since 2015 which was the base year for the index, house prices had increased by ** percent. In just two years, between 2020 and 2022, the index surged by ** index points. As the market stood in December 2023, the average price for a home stood at approximately ******* British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next years. Growth is forecast to be stronger in 2024 and slow down in the period between 2025 and 2028. The rental market in London is expected to follow a similar trend, with Central London slightly outperforming Greater London.

The average house price for first-time homebuyers in the United Kingdom (UK) was ******* British pounds in 2024, up from ******* British pounds the year before. All regions experienced an increase in 2024, with prices rising the most in Northern Ireland and the West Midlands. The South East and London were the most expensive regions to buy a home, with the average house prices at ******* British pounds and ******* British pounds, respectively.

The average house price in Wales has increased since 2015, with minor fluctuations over time. The house price index is calculated using data on housing transactions and measures the development of house prices, with 2015 chosen as a base year when the index value is set to 100. In June 2024, the house price index reached 158.3 index points, meaning that house prices have grown by 58 percent since 2015 and 1.8 percent since June 2023. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

Graph and download economic data for All-Transactions House Price Index for Michigan (MISTHPI) from Q1 1975 to Q1 2025 about MI, appraisers, HPI, housing, price index, indexes, price, and USA.

The house price for Ontario is forecast to increase slightly in 2025, after declining by six percent in 2023. From roughly 872,312 Canadian dollars, the average house price in Canada's second most expensive province for housing is expected to rise to 881,039 Canadian dollars in 2025. After British Columbia, Ontario is Canada's most expensive province for housing. Ontario Ontario is the most populated province in Canada, located on the eastern-central side of the country. It is an English speaking province. To the south, it borders American states Minnesota, Michigan, Ohio, Pennsylvania, and New York. Its provincial capital and largest city is Toronto. It is also home to Canada’s national capital, Ottawa. Furthermore, a large part of Ontario’s economy comes from manufacturing, as it is the leading manufacturing province in Canada. The population of Ontario has been steadily increasing since 2000. The population in 2023 was an estimated 15.6 million people. The median total family income in 2022 came to 101,920 Canadian dollars. Ontario housing market The number of housing units sold in Ontario is projected to rise until 2025. Additionally, the average home prices in Ontario have significantly increased since 2007.

United Kingdom House Price: Qtr: Former Owner Occupier: Outer South East data was reported at 319,686.859 GBP in Sep 2018. This records an increase from the previous number of 319,667.957 GBP for Jun 2018. United Kingdom House Price: Qtr: Former Owner Occupier: Outer South East data is updated quarterly, averaging 118,537.435 GBP from Mar 1983 (Median) to Sep 2018, with 143 observations. The data reached an all-time high of 319,686.859 GBP in Sep 2018 and a record low of 35,572.338 GBP in Mar 1983. United Kingdom House Price: Qtr: Former Owner Occupier: Outer South East data remains active status in CEIC and is reported by Nationwide. The data is categorized under Global Database’s UK – Table UK.P001: House Price: Nationwide.

Data used in the study was obtained from Property24 August 2021 to January 2022. Property24 is a property portal where property listings for sale and to rent from leading real estate agents are advertised. Property24 helps sellers, home buyers, and renters find apartments, houses, townhouses, vacant land, and farms across South Africa. Residential properties from two leading metros in the Eastern Cape Province, Buffalo City Municipality and Nelson Mandela Bay were considered. The data obtained was limited to the data displayed on each property by Property24 that evaluations obtained
The study adopted a parametric and non-parametric techniques to estimate the effects of hedonic housing characteristics on willingness to pay and willingness to accept. Hedonic regression model used multiple ordinary least squares regression to examine how each hedonic characteristic adds to the residential properties' entire worth. Ordinary least squares regression has been widely used in estimating house prices over the decades and it is well document in literature (McCord et al., 2018; My-Linh, 2020; Olamide & Adepoju, 2013; Owusu-Ansah, 2013). The study further adopted the Multilayer perceptron of the Artificial Neural Network which is a predictive model that is made up of multiple techniques that measure each self-contained component independently despite its linearity (Papadopoulos et al., 2021). The Artificial Neural Network has gained momentum recently due to its ability to ability to predict house prices (Ghorbani & Afgheh, 2017; Limsombunchai, 2004; Moreno et al., 2011). These techniques were used to estimate the effect of property attributes in influencing the willingness to accept and the willingness to pay in the Eastern Cape province of South Africa. Model specification and estimation techniques When building hedonic models, underlying assumptions of linearity, homoscedasticity, independence, normality, and correct model specification should be met. To meet these assumptions, the correct function form and the number of explanatory variables matters. The number of explanatory variables included in the model were determined after several pseudo model evaluations (Sirmans & Macpherson, 2003).

United Kingdom HPI: Qtr: Outer South East data was reported at 517.403 1Q1993=100 in Jun 2018. This records an increase from the previous number of 509.121 1Q1993=100 for Mar 2018. United Kingdom HPI: Qtr: Outer South East data is updated quarterly, averaging 130.628 1Q1993=100 from Dec 1973 (Median) to Jun 2018, with 179 observations. The data reached an all-time high of 517.403 1Q1993=100 in Jun 2018 and a record low of 19.963 1Q1993=100 in Jun 1974. United Kingdom HPI: Qtr: Outer South East data remains active status in CEIC and is reported by Nationwide. The data is categorized under Global Database’s UK – Table UK.EB005: House Price Index: Nationwide.

United Kingdom HPI: Qtr: First Time Buyer: Outer South East data was reported at 562.196 1Q1993=100 in Sep 2018. This records a decrease from the previous number of 571.559 1Q1993=100 for Jun 2018. United Kingdom HPI: Qtr: First Time Buyer: Outer South East data is updated quarterly, averaging 196.687 1Q1993=100 from Mar 1983 (Median) to Sep 2018, with 143 observations. The data reached an all-time high of 571.559 1Q1993=100 in Jun 2018 and a record low of 61.831 1Q1993=100 in Mar 1983. United Kingdom HPI: Qtr: First Time Buyer: Outer South East data remains active status in CEIC and is reported by Nationwide. The data is categorized under Global Database’s United Kingdom – Table UK.EB005: House Price Index: Nationwide.

Average Rural Consumer Price: Leased House: South East Sulawesi data was reported at 5,204,283.000 IDR/Year in Dec 2018. This stayed constant from the previous number of 5,204,283.000 IDR/Year for Nov 2018. Average Rural Consumer Price: Leased House: South East Sulawesi data is updated monthly, averaging 3,214,578.500 IDR/Year from Jan 2008 (Median) to Dec 2018, with 132 observations. The data reached an all-time high of 5,204,283.000 IDR/Year in Dec 2018 and a record low of 1,680,769.000 IDR/Year in Dec 2008. Average Rural Consumer Price: Leased House: South East Sulawesi data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PE085: Average Rural Consumer Price: By Province: Housing Product: Leased House.

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Gold Nanorods Market Size 2024-2028

The gold nanorods market size is forecast to increase by USD 218.1 million at a CAGR of 9.3% between 2023 and 2028.

The market is experiencing significant growth due to the increasing demand from the medical industry for cancer treatment applications. The trend toward advanced drug delivery is also driving market expansion. Gold nanorods' unique properties, such as their ability to absorb and scatter light, make them an ideal choice for various therapeutic and diagnostic applications. 
Furthermore, the use of gold nanorods in bioimaging and photothermal therapy is gaining popularity. However, the market growth is influenced by the fluctuations in gold prices, which can impact the affordability and profitability of gold nanorods. Despite this challenge, the market is expected to continue its upward trajectory due to the numerous benefits offered by gold nanorods in various industries, including healthcare, electronics manufacturing, and energy.

What will be the Size of the Gold Nanorods Market During the Forecast Period?

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The market encompasses the production and application of nanoscale gold particles In the form of rods, exhibiting unique optical and electronic properties. These nanorods find extensive use in various sectors, including healthcare, electronics, and energy, due to their exceptional physical and chemical properties. In healthcare, gold nanorods are utilized for biomedical applications such as targeted drug delivery, photodynamic therapy, biosensing, medical diagnostics, and imaging. Their high reactive surface area and tunable electron structure offer significant advantages In these areas. 
In electronics, gold nanorods contribute to the development of advanced technologies like electronic chips, printable inks, transistors, and semiconductors. Additionally, they exhibit anti-oxidant properties and can function as radiation enhancers, making them valuable in various diagnostic and therapeutic applications.
Gold nanorods' versatility and potential for innovation continue to drive growth in this market.

How is this Gold Nanorods Industry segmented and which is the largest segment?

The gold nanorods industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Medical
  Diagnostics
  Electronics
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Application Insights

The medical segment is estimated to witness significant growth during the forecast period.

Gold nanorods, a type of nanotechnology, have gained significant attention due to their unique optical and electronic properties. In the healthcare sector, they have been extensively used for various applications, including targeted drug delivery, photodynamic therapy, biosensing, and imaging. Gold nanorods' biocompatibility and non-cytotoxicity make them suitable for medical diagnostics and therapeutics. Their plasmonic effects enable photothermal therapy, which is effective in cancer cases. In electronics and energy sectors, gold nanorods are used in quantum computing, environmental monitoring, and energy harvesting, among others. Gold nanorods' surface modification with PEG, citrate, cysteine, biotin, or a gold-shell enhances their binding properties and applicability in DNA labelling and cancer therapy.

Gold nanorods' physical and chemical properties, including high reactive surface area, electron structure, and anti-oxidant properties, make them valuable in bio-synthesis, radiation enhancers, and tumor location. The synthesis methods, such as green methods, are crucial in maintaining the nanorods' shape and properties. Gold nanorods' applications extend to optoelectronics, photo imaging, and semiconductor industries, offering low cytotoxicity and ultra-light weight. Gold nanorods are also used in electronic devices, such as transistors, solar cells, and electronic connectors. In the environmental sector, gold nanorods are used for metal ions detection, including arsenic, mercury, lead, and copper. Gold nanorods' potential applications in nanowires, catalysis, and quantum computing further broaden their market scope.

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The Medical segment was valued at USD 137.80 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 41% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast

United States GDPS: saar: KY: Pvt: Real Estate, Rental & Leasing data was reported at 22.224 USD bn in Jun 2018. This records an increase from the previous number of 21.900 USD bn for Mar 2018. United States GDPS: saar: KY: Pvt: Real Estate, Rental & Leasing data is updated quarterly, averaging 17.829 USD bn from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 22.224 USD bn in Jun 2018 and a record low of 12.451 USD bn in Mar 2005. United States GDPS: saar: KY: Pvt: Real Estate, Rental & Leasing data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A122: NIPA 2018: GDP by State: Southeast Region: Current Price: saar.

United States GDPS: saar: SC: Pvt: Real Estate, Rental & Leasing data was reported at 29.083 USD bn in Jun 2018. This records an increase from the previous number of 28.655 USD bn for Mar 2018. United States GDPS: saar: SC: Pvt: Real Estate, Rental & Leasing data is updated quarterly, averaging 21.615 USD bn from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 29.083 USD bn in Jun 2018 and a record low of 15.035 USD bn in Mar 2005. United States GDPS: saar: SC: Pvt: Real Estate, Rental & Leasing data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A122: NIPA 2018: GDP by State: Southeast Region: Current Price: saar.