Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to Aug 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

In 2024, the rental index in Germany reached 107.5 index points. The index was set to 100 in 2020, which means that compared to then, rent in Germany increased by 7.5 percent. Munich saw the highest average rent price among the larger German cities.

Rent Inflation in the United States decreased to 3.60 percent in August from 3.70 percent in July of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.

Price Index of Private Rents (PIPR) data chain-linked to Index of Private Housing Rental Prices. This is a historical series from January 2005 to February 2025.

An experimental price index tracking the prices paid for renting property from private landlords in the United Kingdom

View quarterly updates and historical trends for New Tenant Rent Index YoY. from United States. Source: Bureau of Labor Statistics. Track economic data wi…

Graph and download economic data for Producer Price Index by Commodity: Real Estate Services (Partial): Office Buildings, Gross Rents (WPU431101) from Dec 2008 to Aug 2025 about real estate, rent, buildings, gross, services, commodities, PPI, inflation, price index, indexes, price, and USA.

The Price Index of Private Rents (PIPR) increased gradually since 2015 and reached a value of ***** in ************. That indicates a rental increase of ** percent since ************, the baseline year when the index was set to 100. The rental rates for mainstream properties are forecast to continue to grow over the next five years.

The Price Index of Private Rents (PIPR) has shown significant growth, reaching a value of 117.9 in January 2025. This marks an increase of approximately 17.9 percent since January 2023, reflecting a robust upward trend in rental prices. Notably, the index saw a steady rise throughout 2024, with an annual percentage change peaking at 9.2 percent in March 2024. Mainstream properties are forecast to see rents further increase until 2028.

Spain ES: Rent Price Index: sa data was reported at 112.558 2015=100 in Mar 2025. This records an increase from the previous number of 111.935 2015=100 for Dec 2024. Spain ES: Rent Price Index: sa data is updated quarterly, averaging 46.219 2015=100 from Mar 1961 (Median) to Mar 2025, with 257 observations. The data reached an all-time high of 112.558 2015=100 in Mar 2025 and a record low of 3.357 2015=100 in Mar 1961. Spain ES: Rent Price Index: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Spain – Table ES.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Quarterly.

Germany DE: Rent Price Index: sa data was reported at 115.012 2015=100 in 2024. This records an increase from the previous number of 112.600 2015=100 for 2023. Germany DE: Rent Price Index: sa data is updated yearly, averaging 63.513 2015=100 from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 115.012 2015=100 in 2024 and a record low of 13.547 2015=100 in 1960. Germany DE: Rent Price Index: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Germany – Table DE.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual.

Rental price statistics historical data time series (indices and annual percentage change). These are official statistics in development.

United States All Tenant Regressed Rent Index data was reported at 201.766 Mar2000=100 in Dec 2024. This records an increase from the previous number of 200.459 Mar2000=100 for Sep 2024. United States All Tenant Regressed Rent Index data is updated quarterly, averaging 129.848 Mar2000=100 from Dec 1999 (Median) to Dec 2024, with 101 observations. The data reached an all-time high of 201.766 Mar2000=100 in Dec 2024 and a record low of 102.275 Mar2000=100 in Dec 1999. United States All Tenant Regressed Rent Index data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I127: Tenant Rent Index: Old Methodology.

Mexico MX: Rent Price Index: sa data was reported at 127.702 2015=100 in 2024. This records an increase from the previous number of 122.873 2015=100 for 2023. Mexico MX: Rent Price Index: sa data is updated yearly, averaging 69.117 2015=100 from Dec 1980 (Median) to 2024, with 45 observations. The data reached an all-time high of 127.702 2015=100 in 2024 and a record low of 0.087 2015=100 in 1980. Mexico MX: Rent Price Index: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Mexico – Table MX.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual.

Rental rates in the United States increased steadily since 2008. In 2024, the producer price index for gross rent in office buildings reached ****** index points. This means that between 2008 when the index value was set to 100 and 2024, gross office rents grew by about ***** percent. Manhattan, San Francisco, and Boston are among the biggest and most expensive markets for office space in the United States.

The Zillow Rent Index (ZRI) presents the Average Annual Median Rent by Town.

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.

Graph and download economic data for Harmonized Index of Consumer Prices: Actual Rentals for Housing for Luxembourg (CP0410LUM086NEST) from Jan 1996 to Aug 2025 about Luxembourg, rent, harmonized, CPI, housing, price index, indexes, and price.

Austria AT: Rent Price Index: sa data was reported at 144.877 2015=100 in Mar 2025. This records an increase from the previous number of 143.430 2015=100 for Dec 2024. Austria AT: Rent Price Index: sa data is updated quarterly, averaging 52.859 2015=100 from Mar 1966 (Median) to Mar 2025, with 237 observations. The data reached an all-time high of 144.877 2015=100 in Mar 2025 and a record low of 6.464 2015=100 in Mar 1966. Austria AT: Rent Price Index: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Austria – Table AT.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Quarterly.

This dataset is no longer being updated due to redevelopment of private rental prices statistics, impact analysis, UK, please see more information here: Redevelopment of private rental prices statistics, impact analysis, UK - Office for National Statistics (ons.gov.uk). The Index of Private Housing Rental Prices (IPHRP) is a quarterly experimental price index. It tracks the prices paid for renting property from private landlords in Great Britain. IPHRP is produced from a number of administrative sources and is classified as experimental by ONS. The index compares trends (rather than levels) in average private sector rents across English regions, Wales and Scotland. It uses a complex mix-adjustment and weighting process to produce a single index for each area. This index uses data on actual new and ongoing rents. The sample ensures that the index is representative of the stock at regional level and that it isn't distorted by units dropping out of the sample because they switch to LHA or for other reasons. This is an advantage over the VOA dataset where the sample is changing over time and may not be representative. Tables show monthly data. Data is updated once a quarter. Index level (January 2011 = 100). Not seasonally adjusted. See more on the ONS Website