Graph and download economic data for All-Transactions House Price Index for the Pacific Census Division (CPACSTHPI) from Q1 1975 to Q2 2025 about Pacific Census Division, appraisers, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for Purchase Only House Price Index for the Pacific Census Division (PONHPI00109M226N) from Jan 1991 to Jul 2025 about Pacific Census Division, HPI, housing, price index, indexes, price, and USA.

United States House Price Index: FHFA: Expanded: sa: Pacific data was reported at 298.440 Jan1991=100 in Mar 2018. This records an increase from the previous number of 291.820 Jan1991=100 for Dec 2017. United States House Price Index: FHFA: Expanded: sa: Pacific data is updated quarterly, averaging 168.900 Jan1991=100 from Mar 1991 (Median) to Mar 2018, with 109 observations. The data reached an all-time high of 298.440 Jan1991=100 in Mar 2018 and a record low of 96.820 Jan1991=100 in Mar 1994. United States House Price Index: FHFA: Expanded: sa: Pacific 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.

View monthly updates and historical trends for Pacific Census Division House Price Index. from United States. Source: Federal Housing Finance Agency. Trac…

United States House Price Index: FHFA: Pacific data was reported at 652.120 Mar1980=100 in Jun 2018. This records an increase from the previous number of 633.670 Mar1980=100 for Mar 2018. United States House Price Index: FHFA: Pacific data is updated quarterly, averaging 215.320 Mar1980=100 from Mar 1975 (Median) to Jun 2018, with 174 observations. The data reached an all-time high of 652.120 Mar1980=100 in Jun 2018 and a record low of 43.460 Mar1980=100 in Mar 1975. United States House Price Index: FHFA: Pacific 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.

pacific census division - Purchase Only House Price Index for the Pacific Census Division was 462.28000 Index 1991 Q1=100 in October of 2024, according to the United States Federal Reserve. Historically, pacific census division - Purchase Only House Price Index for the Pacific Census Division reached a record high of 468.52000 in April of 2024 and a record low of 95.32000 in October of 1995. Trading Economics provides the current actual value, an historical data chart and related indicators for pacific census division - Purchase Only House Price Index for the Pacific Census Division - last updated from the United States Federal Reserve on September of 2025.

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.

Graph and download economic data for All-Transactions House Price Index for Pacific County, WA (ATNHPIUS53049A) from 1992 to 2024 about Pacific County, WA; WA; HPI; housing; price index; indexes; price; and USA.

United States House Price Index: FHFA: Purchase Only: sa: Pacific data was reported at 306.700 Jan1991=100 in May 2018. This records an increase from the previous number of 306.200 Jan1991=100 for Apr 2018. United States House Price Index: FHFA: Purchase Only: sa: Pacific data is updated monthly, averaging 176.240 Jan1991=100 from Jan 1991 (Median) to May 2018, with 329 observations. The data reached an all-time high of 306.700 Jan1991=100 in May 2018 and a record low of 95.000 Jan1991=100 in Apr 1995. United States House Price Index: FHFA: Purchase Only: sa: Pacific 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.

All-Transactions House Price Index for Pacific County, WA was 299.43000 Index 2000=100 in January of 2024, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Pacific County, WA reached a record high of 299.43000 in January of 2024 and a record low of 68.61000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Pacific County, WA - last updated from the United States Federal Reserve on September of 2025.

Graph and download economic data for Purchase Only House Price Index for the Pacific Census Division (PONHPI10900Q226N) from Q1 1991 to Q2 2025 about Pacific Census Division, HPI, housing, price index, indexes, price, and USA.

As of the fourth quarter of 2024, Malaysia was the country with the highest inflation-adjusted increase in house prices since 2010 among the Asia-Pacific (APAC) countries under observation. The real house price index in Malaysia reached nearly *** index points. This means that, adjusted for inflation, house prices grew ** percent since 2010, the baseline year when the index value was set to 100. According to the nominal house price index, which does not adjust for the effects of inflation, the price increase was higher.

pacific census division - Purchase Only House Price Index for the Pacific Census Division was 465.49000 Index Jan 1991=100 in June of 2025, according to the United States Federal Reserve. Historically, pacific census division - Purchase Only House Price Index for the Pacific Census Division reached a record high of 475.53000 in January of 2025 and a record low of 95.18000 in April of 1995. Trading Economics provides the current actual value, an historical data chart and related indicators for pacific census division - Purchase Only House Price Index for the Pacific Census Division - last updated from the United States Federal Reserve on September of 2025.

In 2024, India was the country with the highest increase in house prices since 2010 among the Asia-Pacific (APAC) countries under observation. In the first quarter of the year, the nominal house price index in India reached almost *** index points. This suggests an increase of *** percent since 2010, the baseline year when the index value was set to 100. It is important to note that the nominal index does not account for the effects of inflation, meaning when adjusted for inflation, price growth in real terms was slower.

房屋价格指数：FHFA：仅购置：季节性调整后：太平洋在05-01-2018达306.7001991年1月=100，相较于04-01-2018的306.2001991年1月=100有所增长。房屋价格指数：FHFA：仅购置：季节性调整后：太平洋数据按月更新，01-01-1991至05-01-2018期间平均值为176.2401991年1月=100，共329份观测结果。该数据的历史最高值出现于05-01-2018，达306.7001991年1月=100，而历史最低值则出现于04-01-1995，为95.0001991年1月=100。CEIC提供的房屋价格指数：FHFA：仅购置：季节性调整后：太平洋数据处于定期更新的状态，数据来源于Federal Housing Finance Agency，数据归类于Global Database的美国 – 表 US.E027：房屋价格指数：联邦住房供给金融局。

房屋价格指数：FHFA：太平洋在06-01-2018达652.120Mar1980=100，相较于03-01-2018的633.670Mar1980=100有所增长。房屋价格指数：FHFA：太平洋数据按季更新，03-01-1975至06-01-2018期间平均值为215.320Mar1980=100，共174份观测结果。该数据的历史最高值出现于06-01-2018，达652.120Mar1980=100，而历史最低值则出现于03-01-1975，为43.460Mar1980=100。CEIC提供的房屋价格指数：FHFA：太平洋数据处于定期更新的状态，数据来源于Federal Housing Finance Agency，数据归类于Global Database的美国 – 表 US.E027：房屋价格指数：联邦住房供给金融局。

In the fourth quarter (Q4) of 2024, the Philippines exhibited the highest year-on-year (YoY) inflation-adjusted increase in house prices among the Asia-Pacific countries under observation. In Q4 2024, real house prices in the Philippines grew by about *** percent YoY, while in Hong Kong, prices declined by about *** percent YoY over the same period. These figures are based on the development of the real house price index, using 2010 as a baseline year.

AI-Powered Rental Price Index Market Outlook

According to our latest research, the global AI-Powered Rental Price Index market size reached USD 1.84 billion in 2024, with a robust compound annual growth rate (CAGR) of 17.2% projected through the forecast period. By 2033, the market is anticipated to achieve a value of USD 8.19 billion, driven by increasing demand for data-driven pricing strategies, rapid digital transformation in real estate, and the growing adoption of artificial intelligence across property valuation and management. As per our comprehensive analysis, the market is witnessing exponential growth due to the need for accurate, real-time rental price insights, supporting both property owners and tenants in making informed decisions.

One of the primary growth factors fueling the AI-Powered Rental Price Index market is the escalating need for transparency and precision in rental pricing, especially in highly dynamic urban real estate environments. Traditional pricing methodologies often fall short in accounting for rapidly shifting market variables, such as sudden changes in demand, local economic trends, or emerging neighborhood developments. AI-powered solutions leverage advanced algorithms and machine learning models to process vast datasets, including historical rental prices, property attributes, neighborhood analytics, and even social sentiment. This enables real estate stakeholders to arrive at more accurate and competitive rental prices, minimizing vacancies and maximizing returns. Further, the integration of AI with Internet of Things (IoT) and smart city initiatives is enhancing the granularity and timeliness of rental data, solidifying the value proposition of AI-powered rental indices.

Another significant growth driver is the increasing adoption of digital platforms by real estate agencies, property managers, and institutional investors. The transformation from manual, spreadsheet-based assessments to automated, AI-driven platforms is streamlining operations, reducing human error, and enabling scalable portfolio management. Financial institutions are also leveraging AI-powered rental indices for risk assessment, loan underwriting, and investment analysis, further expanding the addressable market. Additionally, the proliferation of proptech startups and increased venture capital investments in real estate technology are accelerating the innovation cycle, resulting in more sophisticated and customizable AI-powered pricing solutions. The rising consumer expectation for transparency and fairness in rental pricing, particularly among younger, tech-savvy renters, is further catalyzing market growth.

Furthermore, regulatory developments and government initiatives aimed at improving housing affordability and market efficiency are positively impacting the AI-Powered Rental Price Index market. In many regions, public sector agencies are collaborating with technology providers to develop standardized rental indices, which support policy-making, rent control measures, and urban planning. These collaborations are fostering an environment where AI-powered analytics are not only a competitive advantage for private enterprises but also a tool for public good. However, market expansion is somewhat tempered by challenges related to data privacy, algorithmic transparency, and the need for standardized data formats across jurisdictions. Addressing these issues will be crucial for sustained growth and broader adoption in the coming years.

Regionally, North America continues to dominate the AI-Powered Rental Price Index market, accounting for the largest share in 2024, owing to its mature real estate sector, high digital adoption, and strong presence of leading proptech firms. Europe is experiencing rapid growth, particularly in countries with high urbanization rates and regulatory support for digital transformation in real estate. Asia Pacific is emerging as a high-growth region, driven by urban expansion, smart city projects, and a burgeoning middle class seeking reliable rental information. While Latin America and Middle East & Africa are currently smaller markets, they present significant long-term potential as digital infrastructure and real estate investment accelerate. Overall, regional dynamics are shaped by varying levels of technological maturity, regulatory frameworks, and the pace of urbanization.

Bureau of Labor Statistics Pacific Rim - Import Price Index by Origin (NAICS): Household Appliance Manufacturing for Pacific Rim was 102.40000 Index 2010=100 in August of 2025, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Pacific Rim - Import Price Index by Origin (NAICS): Household Appliance Manufacturing for Pacific Rim reached a record high of 111.10000 in January of 2022 and a record low of 95.10000 in March of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Pacific Rim - Import Price Index by Origin (NAICS): Household Appliance Manufacturing for Pacific Rim - last updated from the United States Federal Reserve on October of 2025.

Graph and download economic data for Import Price Index by Origin (NAICS): Household Appliance Manufacturing for Pacific Rim (COPRIMZ3352) from Jun 2012 to Aug 2025 about appliances, imports, households, manufacturing, price index, indexes, and price.