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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 May 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.
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Rental price statistics historical data time series (indices and annual percentage change). These are official statistics in development.
Residential rents in urban areas in the United States have grown faster than the general basket of products and services of the urban population. In 2024, the consumer price index (CPI) for rent of primary residences reached *** index points, more than 100 index points more than the CPI for all items. The CPI measures the development of prices, with 1984 chosen as a base year. An index value of *** indicates that rents have quadrupled since 1984.
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Graph and download economic data for Producer Price Index by Commodity: Real Estate Services (Partial): Retail Properties, Gross Rents (WPU43110201) from Apr 2009 to May 2025 about rent, real estate, gross, retail, services, commodities, PPI, inflation, price index, indexes, price, and USA.
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An experimental price index tracking the prices paid for renting property from private landlords in the United Kingdom
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Hong Kong HK: Property Rental Index: 1999=100: Office data was reported at 254.700 1999=100 in Oct 2018. This records an increase from the previous number of 254.400 1999=100 for Sep 2018. Hong Kong HK: Property Rental Index: 1999=100: Office data is updated monthly, averaging 152.000 1999=100 from Jan 1993 (Median) to Oct 2018, with 310 observations. The data reached an all-time high of 254.700 1999=100 in Oct 2018 and a record low of 71.600 1999=100 in Sep 2003. Hong Kong HK: Property Rental Index: 1999=100: Office data remains active status in CEIC and is reported by Rating and Valuation Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.EB052: Office: Rental Index.
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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.
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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.
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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.
Official statistics are produced impartially and free from political influence.
Rental rates in the United States increased steadily since 2008. In 2023, 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 2023, 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.
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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.
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Sweden SE: Rent Price Index: sa data was reported at 119.105 2015=100 in 2024. This records an increase from the previous number of 113.178 2015=100 for 2023. Sweden SE: Rent Price Index: sa data is updated yearly, averaging 63.966 2015=100 from Dec 1963 (Median) to 2024, with 62 observations. The data reached an all-time high of 119.105 2015=100 in 2024 and a record low of 4.616 2015=100 in 1963. Sweden SE: 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 Sweden – Table SE.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual.
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South Korea Rent Price Index: sa data was reported at 108.443 2015=100 in 2024. This records an increase from the previous number of 108.179 2015=100 for 2023. South Korea Rent Price Index: sa data is updated yearly, averaging 79.293 2015=100 from Dec 1985 (Median) to 2024, with 40 observations. The data reached an all-time high of 108.443 2015=100 in 2024 and a record low of 36.533 2015=100 in 1985. South Korea 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 South Korea – Table KR.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual.
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Graph and download economic data for Consumer Price Index: OECD Groups: Services Less Housing: Housing Excluding Imputed Rentals for Housing for Estonia (ESTCPGRLH02GPQ) from Q2 1998 to Q4 2023 about imputed, Estonia, rent, services, CPI, price index, indexes, and price.
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Graph and download economic data for Producer Price Index by Industry: Passenger Car Rental: Replacement Passenger Car Rental (PCU5321115321113) from Dec 1991 to May 2025 about passenger, rent, vehicles, PPI, industry, inflation, price index, indexes, price, and USA.
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Rent Inflation in the United States decreased to 3.90 percent in May from 4 percent in April of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.
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.
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Switzerland Real Estate Price Index: Central Swiss: Rental Apartment data was reported at 545.258 1970=100 in 2016. This records a decrease from the previous number of 555.744 1970=100 for 2015. Switzerland Real Estate Price Index: Central Swiss: Rental Apartment data is updated yearly, averaging 367.689 1970=100 from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 563.858 1970=100 in 2014 and a record low of 100.000 1970=100 in 1970. Switzerland Real Estate Price Index: Central Swiss: Rental Apartment data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.EB002: Real Estate Price Index: By Region: Residential: Annual. Rebased from 1970=100 to 2000=100 Replacement series ID: 388330597
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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 May 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.