New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

In the 2018 survey, 53 percent of home buyers attended an open house when searching for a home in the United States, whereas 47 percent said that they didn't attend any open houses during their house hunt.

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 three percent. The annual appreciation for single-family housing in the U.S. was 0.71 percent, while in Hawaii—the state where homes appreciated the most—the increase exceeded 10 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 413,000 U.S. dollars, up from 277,000 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 2.3 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 20 percent in 2024.

Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q4 2024 about appraisers, HPI, housing, price index, indexes, price, and USA.

The average resale house price in Canada was forecast to reach nearly 836,000 Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach 1.2 million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was 1.9 million Canadian dollars in 2024.

The data set contains information on work orders created through HPD's Emergency Repair Program, Alternative Enforcement Program and Demolition programs and fees assessed against properties by HPD pursuant to the Housing Maintenance Code. The work orders are created to conduct emergency repair work when an owner fails to address a hazardous condition pursuant to the requirements of an HPD-issued violation, a Department of Buildings Declaration of Emergency, a Department of Health Commissioner's Order to Abate or an emergency violation issued by another City Agency. The work orders may be issued to a private vendor following the City's Procurement Rules or may be conducted by agency staff.

This is part of the HPD Charge Data collection of data tables.

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Real Estate Property Management Software Market Size 2024-2028

The real estate property management software market size is forecast to increase by USD 414.3 million at a CAGR of 5.97% between 2023 and 2028.

The market is experiencing significant growth due to the increasing focus on customer-centric business processes and the adoption of advanced technologies such as smart buildings and smart cities. These technologies enable efficient management of properties and enhance the living experience for tenants. Moreover, the use of cloud computing and data analytics is on the rise, enabling real estate firms to store, manage, and analyze large volumes of data to gain valuable insights. 
However, the threat of open-source real estate property management software poses a challenge to market players, as it offers cost-effective alternatives to proprietary solutions. Data security remains a critical concern for real estate firms, as they handle sensitive tenant information, making it essential for software providers to implement security measures. In summary, the market is witnessing rapid growth, driven by customer-centricity, technology adoption, and data analytics, while facing challenges from open-source solutions and data security concerns.

What will be the Size of the Real Estate Property Management Software Market during the forecast period?

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The market is experiencing growth, driven by the increasing demand for streamlined and efficient property management solutions. This market encompasses a range of functionalities, including tenant management, lease tracking, property accounting, maintenance scheduling, rent collection, financial reporting, tenant communication, real estate analytics, portfolio management, asset management, expense tracking, revenue management, property inspection, compliance management, document storage, company management, online payments, reporting dashboards, user access control, data security, mobile access, customizable templates, automated reminders, and tenant screening. These solutions enable property managers to effectively manage their properties, enhance tenant relationships, and optimize financial performance. The market is expected to continue expanding, as the digital transformation of property management gains momentum and the need for advanced tools to manage complex portfolios becomes increasingly apparent.

How is this Real Estate Property Management Software Industry segmented?

The real estate property management software 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.

Type

  Integrated software
  Standalone software


Deployment

  Cloud based
  On premises


Application

  Residential
  Commercial
  Industrial


Geography

  US

By Type Insights

The integrated software segment is estimated to witness significant growth during the forecast period. Real estate property management software integrates various applications and business processes into a unified system, enabling seamless data sharing through a single database. Enterprise integration platforms facilitate the connection of multiple business operations, providing centralized interfaces for efficient data management. This integration offers flexibility for businesses to easily add or remove operations from their environment. Applications of this software include property design, asset management, financial management, accounting, rent collection, security, and customer service portals. Integration with cloud computing, SaaS, AI, IoT, and e-commerce platforms enhances operational efficiency and digitalization. Property types, such as residential, commercial, student housing, and commercial buildings, can benefit from these advanced solutions. Integration also supports business intelligence, predictive analytics, and virtual tours, improving tenant relationships and rent collection processes.

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The Integrated software segment was valued at USD 799.50 million in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise In the adoption of Real Estate Property Management Software Industry?

Increasing focus on customer-centric business processes is the key driver of the market. In today's competitive business landscape, prioritizing customer centricity is essential for any organization's success. Real estate property management software plays

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Landsea Homes' (LSEA) Future: Analysts Project Growth Amid Housing Market Shifts

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Vital statistics related to Ottawa’s rental housing inventory, including cost of rental housing of different sizes and locations.

Accuracy: No know issues. For a detailed description of the methodology and sources used to compile this data set, please refer to the Rental Market Analysis. Update Frequency: One-time dataset

Contact: Emergency and Protective Services – Public Policy Development Branch

The number of housing units in the United States has grown year-on-year and in 2023, there were approximately 145 million homes. That was an increase of about 1.3 percent from the previous year - the highest annual increase recorded in the past 15 years. Homeownership in the U.S. Most of the housing stock in the U.S. is owner-occupied, meaning that the person who owns the home uses it as a primary residence. Homeownership is an integral part of the American Dream, with about two in three Americans living in an owner-occupied home. For older generations, the homeownership rate is even higher, showing that buying a home is an important milestone in life. Housing transactions slowing down During the coronavirus pandemic, the U.S. experienced a housing market boom and witnessed an increase in the number of homes sold. Since 2020, when the market peaked, new homes transactions have slowed down and so have the sales of existing homes. That has affected the development of home prices, with several states across the country experiencing a decline in house prices.

Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Feb 2024 to Feb 2025 about headline figure, sales, housing, and USA.

Canada Mortgage and Housing Corporation's Housing Market Information portal offers free, easy-to-use access to the latest housing market data for Canada.

Median price paid for residential property in England and Wales, by property type and middle layer super output area. Annual data.

Existing Home Sales in the United States increased to 4260 Thousand in February from 4090 Thousand in January of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Households; Owner-Occupied Real Estate Including Vacant Land and Mobile Homes at Market Value, Level (BOGZ1FL155035015Q) from Q4 1945 to Q4 2024 about Mobile, land, market value, vacancy, real estate, households, housing, and USA.

Contains information about invoices submitted to HPD by private contractors under an OMO. This is part of the HPD Charge Data collection of data tables.

Property Market Insights from Zoopla Live (Aggregated):

Discover valuable property market insights with our data product sourced from Zoopla Live, one of the UK's premier aggregators of property listings data. Gain access to a comprehensive dataset containing information on 27,000,000 homes, up to 1,000,000 property listings,.

The Urban Big Data Centre (UBDC) systematially collects daily property listings from Zoopla across the entire UK since 2017; and each year, we process and consolidate the collected data into yearly aggregated and harmonized 'analysis-ready' datasets.

Researchers can utilize this dataset to unlock meaningful insights into the property market.

Please note that additional daily data from Zoopla can be made available upon request if the provided aggregated product does not meet specific research requirements. Additionally, it's essential to be aware that each Zoopla year spans 18 months, from the 1st of Oct of the previous year until the 31st of March of the following year.

UBDC’s Zoopla data collection is a dataset that covers housing data since 2017, covering the area of Great Britain. UBDC has an agreement with Zoopla and has access to current property listings via Application Programming Interface (API). We have been collecting the listings since August 2016.

UBDC can provide Live Collected Aggregated Data: Aggregated (yearly) data made from Live Collected data. The Zoopla year is +/- 3 months for each year(= zoopla year 18 months) The collection requires unique property id in the API request.

We have also set up an email discussion list on housing data and related issues that you can join via the JISCMail website:

https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UBDC-HOUSING-DATA

Note: In accessing this data, you agree that any downloading of content is for non-commercial reference only. No part of these materials may be used for any other purpose or reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise without the prior consent of the University of Glasgow.

Data is Zoopla Property Group PLC, © 2023, processed by Urban Big Data Centre, University of Glasgow

Details of the data available via Zoopla’s Application Programming Interface (API) can be found at

http://developer.zoopla.com/

Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions:The median rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in median rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Median rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing.Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development

Graph and download economic data for All-Transactions House Price Index for Los Angeles County, CA (ATNHPIUS06037A) from 1975 to 2024 about Los Angeles County, CA; Los Angeles; CA; HPI; housing; price index; indexes; price; and USA.

Graph and download economic data for All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD) (ATNHPIUS19804Q) from Q2 1976 to Q4 2024 about Detroit, MI, appraisers, HPI, housing, price index, indexes, price, and USA.