CoreLogic Dwelling Prices MoM in Australia increased to 0.60 percent in June from 0.50 percent in May of 2025. This dataset includes a chart with historical data for Australia CoreLogic Dwelling Prices MoM.

Graph and download economic data for S&P CoreLogic Case-Shiller CA-San Diego Home Price Index (SDXRSA) from Jan 1987 to Apr 2025 about San Diego, CA, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for Interest Rates and Price Indexes; Owner-Occupied Real Estate CoreLogic National Seasonally Adjusted by FRB Staff (SA), Level (BOGZ1FL075035243A) from 1975 to 2024 about real estate, interest rate, interest, rate, price index, indexes, price, and USA.

Graph and download economic data for S&P CoreLogic Case-Shiller IL-Chicago Home Price Index (CHXRNSA) from Jan 1987 to Apr 2025 about Chicago, IL, IN, WI, HPI, housing, price index, indexes, price, and USA.

Case Shiller Home Price Index in the United States increased to 341.48 points in April from 338.39 points in March of 2025. This dataset provides the latest reported value for - United States S&P Case-Shiller Home Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Australia increased to 183.90 points in the fourth quarter of 2021 from 175.60 points in the third quarter of 2021. This dataset provides the latest reported value for - Australia House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Property value estimates with confidence and deviation details by Corelogic.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

This report analyses the price of residential housing in New Zealand. The data is presented as an index with a base year of 2022-23 and measures changes in residential house prices across New Zealand. The data for this report is compiled by CoreLogic, sourced from the Reserve Bank of New Zealand (Te Putea Matua), or RBNZ, and is presented in financial years.

Graph and download economic data for S&P CoreLogic Case-Shiller TX-Dallas Home Price Index (DAXRNSA) from Jan 2000 to Apr 2025 about Dallas, HPI, TX, housing, price index, indexes, price, and USA.

The global property intelligence software market is experiencing robust growth, driven by increasing demand for data-driven decision-making in the real estate sector. The market, estimated at $5 billion in 2025, is projected to expand significantly over the next decade, fueled by several key factors. These include the rising adoption of cloud-based solutions, the need for enhanced property valuation and risk assessment tools, and the increasing complexity of real estate transactions. Furthermore, the growing availability of big data and advanced analytics capabilities is empowering stakeholders with sophisticated insights into market trends, property performance, and investment opportunities. This is leading to a significant shift towards more strategic and efficient property management and investment strategies. The competitive landscape is highly fragmented, with numerous players offering specialized solutions. Key players like Yardi, VTS, and CoreLogic are established market leaders, while smaller, specialized companies are also making significant inroads. The market is witnessing consolidation, with mergers and acquisitions becoming increasingly common, as companies seek to expand their product portfolios and enhance their market reach. The market's growth trajectory is influenced by several factors. Technological advancements, particularly in artificial intelligence (AI) and machine learning (ML), are enabling more accurate and efficient property analysis. This, combined with the increasing adoption of PropTech solutions across the real estate value chain, is further accelerating the market's expansion. However, challenges remain, including the high cost of implementing and maintaining these systems and the need for robust data security measures. Nevertheless, the long-term outlook for the property intelligence software market remains positive, with sustained growth expected over the forecast period (2025-2033), driven by the ongoing digital transformation of the real estate industry and the increasing demand for improved decision-making tools. Regional variations in market growth are expected, reflecting differences in technology adoption rates and market maturity across various geographies.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

Graph and download economic data for S&P CoreLogic Case-Shiller OR-Portland Home Price Index (POXRNSA) from Jan 1987 to Apr 2025 about Portland, OR, WA, HPI, housing, price index, indexes, price, and USA.

Average House Prices in Australia increased to 1002.50 AUD Thousand in the first quarter of 2025 from 995.60 AUD Thousand in the fourth quarter of 2024. This dataset includes a chart with historical data for Australia Mean Dwelling Price.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

Graph and download economic data for S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index (LXXRNSA) from Jan 1987 to Apr 2025 about Los Angeles, CA, HPI, housing, price index, indexes, price, and USA.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf).

Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Dallas, Texas in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Dallas, Texas.

Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.