House prices grew year-on-year in most states in the U.S. in the third quarter of 2024. The District of Columbia was the only exception, with a decline of ***** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Hawaii—the state where homes appreciated the most—the increase exceeded ** percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2024, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2024.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.

The U.S. housing market continues to evolve, with the median home price forecast to reach ******* U.S. dollars by the second quarter of 2026. This projection comes after a period of significant growth and recent fluctuations, reflecting the complex interplay of economic factors affecting the real estate sector. The rising costs have not only impacted home prices, but also down payments, with the median down payment more than doubling since 2012. Regional variations in housing costs Home prices and down payments vary dramatically across the United States. While the national median down payment stood at approximately ****** U.S. dollars in early 2024, homebuyers in states like California, Massachusetts, and Hawaii faced down payments exceeding ****** U.S. dollars. This disparity highlights the challenges of homeownership in high-cost markets and underscores the importance of location in determining housing affordability. Market dynamics and future outlook The housing market has shown signs of cooling after years of rapid growth, with more modest price increases of *** percent in 2022 and *** percent in 2023. This slowdown can be attributed in part to rising mortgage rates, which have tempered demand. Despite these challenges, most states continued to see year-over-year price growth in the fourth quarter of 2023, with Rhode Island and Vermont leading the pack at over ** percent appreciation. As the market adjusts to new economic realities, potential homebuyers and investors alike will be watching closely for signs of stabilization or renewed growth in the coming years.

Appreciation : Un dataset d'appréciations au lycée

  Description

Appreciation est un jeu de données compilant des appréciations réelles d'enseignants du lycée en France. Il est destiné à faciliter la recherche et le développement d'outils d'analyse textuelle et d'intelligence artificielle centrés sur l'éducation, notamment pour le traitement du langage naturel dans le contexte éducatif français.

  Structure du Dataset

Le dataset est structuré avec les colonnes… See the full description on the dataset page: https://huggingface.co/datasets/eltorio/appreciation.

Land value tax types code: Own use purchase and sale, one life one house, general purchase and sale...etc tax type code table

The highest average price for residential property in Italy in September 2024 was registered in the region of Trentino South-Tyrol, followed by Aosta Valley and Liguria. These three regions ranked as the most expensive in the country also because of their strategic position, natural beauty and peculiarity. These characteristics make them economically successful and, from a touristic point of view, appealing to a wealthy public. In Trentino South-Tyrol, the square meter price of residential real estate was over ***** euros, nearly ***** euros above the country average. Lombardy: the most active market in the sector The region of Lombardy (which includes Milan) might not be as exclusive as the regions mentioned above, but its real estate market is the most active in Italy. In 2022, Lombardy registered over 165,000 transactions in the residential real estate segment. Moreover, the total value of these transactions amounted to almost ** billion euros. Milan, an attractive destination for investments Thanks to its role as a capital of business and finance as well as an innovation hub, Milan was able to attract human capital and investments, both domestic and foreign. The ability to grow and innovate was also reflected in the city’s real estate market, the most dynamic in the country. The number of transactions in residential real estate in Milan increased steadily since 2012 and so did prices: some areas of the city are among the most expensive in the country to buy a property.

The average price of detached and duplex houses in the biggest cities in Germany varied between approximately ***** euros and 10,000 euros per square meter in 2024. Housing was most expensive in Munich, where the square meter price of houses amounted to ***** euros. Conversely, Berlin was most affordable, with the square meter price at ***** euros. How have German house prices evolved? House prices maintained an upward trend for more than a decade, with 2020 and 2021 experiencing exceptionally high growth rates. In 2021, the nominal year-on-year change exceeded 10 percent. Nevertheless, the second half of 2022 saw the market slowing, with the annual percentage change turning negative for the first time in 12 years. Another way to examine the price growth is through the house price index, which uses 2015 as a base. At its peak in 2022, the German house price index measured about *** percent, which means that a house bought in 2015 would have appreciated by ** percent. Is housing affordable in Germany? Housing affordability depends greatly on income: High-income areas often tend to have more expensive housing, which does not necessarily make them unaffordable. The house price to income index measures the development of the cost of housing relative to income. In the first quarter of 2024, the index value stood at ***, meaning that since 2015, house price growth has outpaced income growth by about ** percent. Compared with the average for the euro area, this value was lower.

The LTR Genie Score of Martinsburg, WV is 75, indicating a moderate level of rentability for long-term rental properties in the area. The STR Genie Score is 49, suggesting a lower level of rentability for short-term rental or Airbnb properties. The LTR Net ROI of 30.64% is higher than the STR Net ROI of 21.71%, indicating that long-term rental investments may be more profitable in this market.Martinsburg, WV is a growing city located in the Eastern Panhandle region of West Virginia. It offers a mix of historic charm and modern amenities, making it an attractive location for real estate investors. With a 1-year price appreciation forecast of 0.6%, investors may see some appreciation in property values over time.Based on the metrics provided, Martinsburg, WV appears to be more attractive for long-term rental investments due to the higher LTR Genie Score and Net ROI compared to short-term rental options. However, investors should consider the moderate LTR rent growth rate and occupancy rate when making their decision. Overall, Martinsburg, WV shows potential for long-term rental investment, but investors should conduct further research and analysis before making a final decision.

Graph and download economic data for All-Transactions House Price Index for Boston, MA (MSAD) (ATNHPIUS14454Q) from Q3 1977 to Q1 2025 about Boston, MA, appraisers, HPI, housing, price index, indexes, price, and USA.

The LTR Genie Score of Aurora, CO is 54, indicating a moderate level of rentability for long-term rental properties in the area. The STR Genie Score is slightly lower at 52, suggesting a similar level of rentability for short-term rental or Airbnb properties. The LTR Net ROI of 22.04% and STR Net ROI of 21.76% are both relatively high, indicating good potential for return on investment in both rental strategies. The 1-Year Price Appreciation Forecast of -2.77% may be a concern for investors looking for appreciation in property value.Aurora, CO is a diverse and rapidly growing city located just east of Denver. With a strong economy, a variety of housing options, and proximity to major highways and public transportation, Aurora offers a promising real estate market for investors. However, the negative price appreciation forecast may be a factor to consider when evaluating long-term investment potential.In conclusion, Aurora, CO appears to be a favorable market for both long-term and short-term rental investments based on the high LTR and STR Genie Scores and solid ROI metrics. Investors may want to consider a mix of both rental strategies to maximize their returns in this dynamic market.

Percentages of annual appreciation levels for the years (2017-2019)

The median sales price of the existing privately owned single-family homes in the United States increased slightly in 2024. The most expensive homes were found in San Jose-Sunnyvale-Santa Clara, CA, where the median sales price was 1.9 million U.S. dollars. Hawaii and Delaware experienced the strongest home appreciation.

The house price index in London reached 129.9 index points in June 2024, which was an increase from a year ago, despite a mild correction. The house price index (HPI) is an easy way of illustrating trends in the house sales market and help simplify house purchase decisions. By using hedonic regression, the index models property price data for all dwellings and shows how much the price has changed since January 2015. How have regional house prices in the UK developed? House prices in other UK regions have risen even more than in London. In the North West, the house price index exceeded 160 index points, ranking it among the regions with the highest property appreciation. The UK house price index stood at 151 index points, suggesting an increase of 51 percent since 2015. Average house prices Location plays a huge role in the price of a home. Kensington and Chelsea and City of Westminster are undoubtedly the most expensive boroughs in London, with an average house price that can exceed one million British pounds. In comparison, a house in Barking and Dagenham cost approximately one third. Nevertheless, the housing market is the busiest in the boroughs with average house prices.

Snapshot img

Facial Recognition Market Size 2024-2028

The facial recognition market size is forecast to increase by USD 11.82 billion, at a CAGR of 22.2% between 2023 and 2028.

The market landscape is experiencing substantial growth, leading to a significant increase in demand for advanced identity verification. Organizations are prioritizing security measures, resulting in a rising need for precise and efficient identity verification processes. Key market trends include technological advancements and the emergence of facial analytics, which enhance accuracy and efficiency.
However, the high cost of deployment remains a significant challenge, potentially limiting access for smaller businesses and organizations. Overcoming this hurdle is essential for fostering broader adoption of digital identity and security and ensuring sustained growth in the market, particularly in the coming years.
The facial recognition market is expanding, driven by AI facial recognition and biometric authentication technologies. These advancements support security surveillance, contactless identity verification, and emotion detection technology. Cloud-based facial recognition systems leverage video analytics for enhanced public safety applications and access control solutions. However, privacy regulations play a significant role in shaping market growth, ensuring secure and compliant implementation of these systems in various sectors.

What will be the Size of the Facial Recognition Market During the Forecast Period?

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Facial recognition technology is widely used across sectors like education for attendance, healthcare for patient monitoring, and retail for access control. Biometric POS Terminals integrate facial recognition to enhance payment security and efficiency. This technology also supports banking and law enforcement with secure authentication and surveillance.
Companies and technology corporations are pioneering advancements in facial recognition and biometric access control systems, employing technologies like image recognition and speech recognition. Facial characteristics, including jawline and facial contours, are analyzed to authenticate individuals. The application of facial recognition technology extends to smart hospitality services, enhancing the overall customer experience. This technology offers enhanced security and efficiency across multiple industries.

How is the Facial Recognition Market Segmented?

The facial recognition market trends and analysis report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion ' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.

Application Outlook 

  Identification
  Verification


Technology Outlook 

  3D
  2D
  Facial analytics


End-user Outlook 

  Media and entertainment
  BFSI
  Automobile and transportation
  Others


Region Outlook 

  North America

    The U.S.
    Canada





  Europe

    The U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India


  South America

    Chile
    Argentina
    Brazil





  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa

By Application

The market share growth by the identification segment will be significant during the forecast period. Facial recognition technology has emerged as a significant solution for identification and verification in various sectors. NEC Corporation, Microsoft, AWS, and other tech giants are leading the market with advanced facial recognition systems. KYC systems and digital payments are integrating facial recognition for secure authentication. Smartphone applications and physical security systems also utilize this technology for access control and surveillance.

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The identification segment was valued at USD 3.04 billion in 2018. Facial recognition systems use facial features, such as jawline and unique identifiers, to authenticate individuals. These systems are widely adopted in public safety and physical security for identification and verification purposes. The transportation sector, particularly airports, has seen a significant increase in the adoption of facial recognition technology for entry/exit systems.
Sectors requiring strict access control and video surveillance, such as banking and law enforcement, are increasingly relying on facial recognition technology for identification and verification. Authentication techniques using facial recognition are more secure and efficient compared to traditional methods. The global market for facial recognition technology is expected to grow significantly due to its wide adoption in various sectors.

Regional Analysis

For more insi

The LTR Genie Score of San Diego, CA is 44 and STR Genie Score is 65, indicating a moderate score for long-term rental and a high score for short-term rental. The high STR Genie Score can be attributed to the strong STR Net ROI of 21.38% and a high STR occupancy rate of 70.0%, which suggest a lucrative opportunity for short-term rental investments in San Diego. On the other hand, the LTR Genie Score is lower due to a lower LTR Net ROI of 17.79% and a 1-Year Price Appreciation Forecast of -0.82%.San Diego, CA is a popular tourist destination known for its beautiful beaches, vibrant culture, and pleasant climate. The city attracts a large number of visitors throughout the year, making it a potentially profitable market for short-term rental investments. Additionally, San Diego's diverse economy and strong job market can also make it an attractive option for long-term rental investments.Based on the metrics provided, San Diego, CA seems to be a more attractive market for short-term rental investments due to the high STR Genie Score and the potential for higher returns. However, investors should also consider the overall market conditions, their investment goals, and risk tolerance before making a decision. It may be beneficial to diversify investment strategies by considering both short-term and long-term rental options in San Diego.

Presentation Date: Tuesday, October 22, 2019. Location: Dunlap Institute for Astronomy & Astrophysics, University of Toronto. Abstract: These are Alyssa Goodman's slides from her presentation at the 11th edition of .Astronomy, hosted by the Dunlap Institute for Astronomy & Astrophysics at the University of Toronto on October 22, 2019.