The office rent index value in Singapore in the 4th quarter 2024 was ***. The index values represent the change of office rent price from the base year of 1998. By ** 2024, the office rent index had increased by 100 percent compared to the base year.

Singapore Property Rental Index: PR: Landed data was reported at 101.000 1Q2009=100 in Sep 2018. This records an increase from the previous number of 100.500 1Q2009=100 for Jun 2018. Singapore Property Rental Index: PR: Landed data is updated quarterly, averaging 103.400 1Q2009=100 from Mar 2004 (Median) to Sep 2018, with 59 observations. The data reached an all-time high of 120.000 1Q2009=100 in Sep 2013 and a record low of 66.100 1Q2009=100 in Jun 2004. Singapore Property Rental Index: PR: Landed data remains active status in CEIC and is reported by Urban Redevelopment Authority. The data is categorized under Global Database’s Singapore – Table SG.EB004: Property Rental Index.

Housing Index in Singapore increased to 210.70 points in the first quarter of 2025 from 209.40 points in the fourth quarter of 2024. This dataset provides the latest reported value for - Singapore Property Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In the fourth quarter of 2024, the rental index for industrial property in Singapore was at *****. This was the highest value since the third quarter of 2018.

The highest average monthly gross rent for retail space in Singapore in the fourth quarter of 2024 was **** Singapore dollars per square foot for first story spaces in the Orchard/Scotts Road area (OSR). The lowest average monthly gross rents were seen in "Other city areas", or the areas not considered suburbs, fringe areas, or the OSR.

Market research data and analysis for 2Q 2025 Rental Report: Private Home Rents Poised to Stabilise After Mild Correction; Rental Take-Up Rates Inch Up

Singapore Consumer Price Index (CPI): All Items Less Imputed Rentals on Owner-occupied Accommodation data was reported at 103.504 2014=100 in Oct 2018. This records a decrease from the previous number of 103.854 2014=100 for Sep 2018. Singapore Consumer Price Index (CPI): All Items Less Imputed Rentals on Owner-occupied Accommodation data is updated monthly, averaging 98.804 2014=100 from Jan 2008 (Median) to Oct 2018, with 130 observations. The data reached an all-time high of 103.854 2014=100 in Sep 2018 and a record low of 85.837 2014=100 in Apr 2009. Singapore Consumer Price Index (CPI): All Items Less Imputed Rentals on Owner-occupied Accommodation data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.I001: Consumer Price Index: 2014=100.

Singapore Consumer Price Index (CPI): All Items Less Imputed Rentals On Owner-Occupied Accommodation data was reported at 117.460 2019=100 in Dec 2024. This records an increase from the previous number of 116.985 2019=100 for Nov 2024. Singapore Consumer Price Index (CPI): All Items Less Imputed Rentals On Owner-Occupied Accommodation data is updated monthly, averaging 96.247 2019=100 from Jan 2008 (Median) to Dec 2024, with 204 observations. The data reached an all-time high of 117.460 2019=100 in Dec 2024 and a record low of 82.313 2019=100 in Apr 2009. Singapore Consumer Price Index (CPI): All Items Less Imputed Rentals On Owner-Occupied Accommodation data remains active status in CEIC and is reported by Singapore Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.I006: Consumer Price Index: 2019=100.

Singapore Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Acc) data was reported at 99.667 2019=100 in Jun 2020. This records a decrease from the previous number of 100.091 2019=100 for Dec 2019. Singapore Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Acc) data is updated semiannually, averaging 95.537 2019=100 from Jun 2008 (Median) to Jun 2020, with 25 observations. The data reached an all-time high of 100.091 2019=100 in Dec 2019 and a record low of 83.392 2019=100 in Jun 2009. Singapore Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Acc) data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.I015: Consumer Price Index: By Income Levels: 2019=100.

Singapore Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Accom) data was reported at 103.272 2014=100 in Jun 2018. This records an increase from the previous number of 102.546 2014=100 for Dec 2017. Singapore Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Accom) data is updated semiannually, averaging 98.296 2014=100 from Jun 2008 (Median) to Jun 2018, with 21 observations. The data reached an all-time high of 103.272 2014=100 in Jun 2018 and a record low of 87.143 2014=100 in Jun 2009. Singapore Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Accom) data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.I011: Consumer Price Index: By Income Levels: 2014=100.

In the first half of 2020, the rental price of retail colocation in Singapore was between *** and *** U.S. dollars per month. Pricing in hyperscale cloud and wholesale colocation was less expensive, with monthly costs between *** and *** U.S. dollars for the hyperscale, and *** to *** U.S. dollars for wholesale colocation. Hyperscale data centers have the largest power requirements and customers are usually a cloud or large tech company. Wholesale and retail colocation, on the other hand, have smaller power requirements.

Singapore Consumer Price Index (CPI): IL: Lowest 20 %: Less Imputed Rent (Owner-occupied Accom) data was reported at 102.804 2014=100 in Jun 2018. This records an increase from the previous number of 101.949 2014=100 for Dec 2017. Singapore Consumer Price Index (CPI): IL: Lowest 20 %: Less Imputed Rent (Owner-occupied Accom) data is updated semiannually, averaging 97.832 2014=100 from Jun 2008 (Median) to Jun 2018, with 21 observations. The data reached an all-time high of 102.804 2014=100 in Jun 2018 and a record low of 88.449 2014=100 in Jun 2008. Singapore Consumer Price Index (CPI): IL: Lowest 20 %: Less Imputed Rent (Owner-occupied Accom) data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.I011: Consumer Price Index: By Income Levels: 2014=100.

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Singapore Real Estate Market Size 2025-2029

The singapore real estate market size is forecast to increase by USD 62.6 billion at a CAGR of 4.6% between 2024 and 2029.

The market is witnessing significant growth, driven primarily by the burgeoning demand for industrial infrastructure. This trend is fueled by the country's status as a global business hub, attracting numerous multinational corporations seeking to establish a presence. Concurrently, marketing initiatives in the real estate industry are gaining momentum, with developers increasingly adopting innovative strategies to differentiate their offerings and cater to diverse customer segments. However, this market landscape is not without challenges. Regulatory uncertainty looms large, with ongoing debates surrounding potential changes to property cooling measures and land use regulations. These uncertainties could deter investors and developers, potentially hindering market growth. As such, navigating the complex regulatory environment and staying abreast of policy developments will be crucial for companies looking to capitalize on opportunities and mitigate risks in the Singapore Real Estate market.

What will be the size of the Singapore Real Estate Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The Singapore real estate market exhibits dynamic activity in various sectors. The sub-sale market experiences continuous fluctuations, influenced by property valuation models and market forecasting. Property law plays a crucial role in real estate financing and collective sales, including en bloc and strata title transactions. Property investment funds and real estate syndication provide financing options for freehold and leasehold properties. Real estate litigation arises from property disputes, necessitating ethical conduct in property management services. Proptech adoption streamlines property search engines and portfolio management, while property tax incentives stimulate investment. Rental management services and property insurance mitigate risks in the diverse real estate landscape. Property market trends encompass master plans, property crowdfunding, and real estate marketing strategies.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. AreaResidentialCommercialIndustrialMode Of BookingSalesRental and leaseTypeLanded houses and villasOffice spaceApartments and condominiumsStore spaceOthersPriceMid-tierEntry-levelLuxuryGeographyAPACSingapore

By Area Insights

The residential segment is estimated to witness significant growth during the forecast period.

The Singapore real estate market encompasses various sectors, including residential, commercial, and industrial properties. The residential segment, comprised of apartments, condominiums, single-family homes, and other living arrangements, experiences significant demand due to population growth and the country's robust economy. Urban renewal projects and sustainable development initiatives contribute to the transformation of the property market. Commercial real estate, including office buildings and retail spaces, benefit from the thriving economy and increasing business activities. Property management companies employ technology, such as virtual and augmented reality, to enhance the property buying and selling experience. Real estate investment trusts and funds provide opportunities for investors seeking capital appreciation and rental income. Property prices have been on an upward trend due to high demand and limited supply, with vacancy rates remaining relatively low. Property taxes, stamp duty, and government policies influence the market dynamics. Urban planning and infrastructure development are essential for economic growth and smart city initiatives. Real estate developers and proptech startups leverage technology, including artificial intelligence and big data, to streamline property transactions and enhance property management. The rental market, property valuation, and property development are shaped by various factors, including rental yield, housing affordability, and market sentiment. Land use planning and regulations play a crucial role in shaping the real estate landscape. Capital appreciation and rental income continue to attract investors to the market, with mortgage rates influencing affordability. Smart home technologies and green building standards add value to both residential and commercial properties.

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The Residential segment was valued at USD 100.30 billion in 2019 and showed a gradual increase during the forecast period.

Market Dynamics

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Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

The Singapore Real Estate Market Report is Segmented by Property Type (Residential and Commercial), by Business Model (Sales and Rental), by End User (Individuals/Households, Corporates & SMEs and Others), and by Region (Core Central Region (CCR), Rest of Central Region (RCR) and Outside Central Region (OCR)). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

Singapore Consumer Price Index (CPI): sa: All Items Less Imputed Rentals on Owner-Occupied Accom data was reported at 103.829 2014=100 in Oct 2018. This records an increase from the previous number of 103.710 2014=100 for Sep 2018. Singapore Consumer Price Index (CPI): sa: All Items Less Imputed Rentals on Owner-Occupied Accom data is updated monthly, averaging 98.755 2014=100 from Jan 2008 (Median) to Oct 2018, with 130 observations. The data reached an all-time high of 103.829 2014=100 in Oct 2018 and a record low of 86.129 2014=100 in Jan 2008. Singapore Consumer Price Index (CPI): sa: All Items Less Imputed Rentals on Owner-Occupied Accom data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.I004: Consumer Price Index: 2014=100: Seasonally Adjusted.

Zurich, Lausanne, and Geneva were ranked as the most expensive cities worldwide with indices of ************************ Almost half of the 11 most expensive cities were in Switzerland.

The Car Rentals Market in Singapore Report is Segmented by Vehicle Type (Economy, Premium, and More), Booking Channel (Online and Offline), Rental Duration (Short-Term and Long-Term), Application (Tourism and General Commuting), Powertrain Type (ICE, Hybrid, and Electric Vehicle ), and End-User (Individual and Corporate). Market Forecasts are Provided in Terms of Value (USD).

Context

I wanted to see how affordable housing is across countries and wanted to compare the price of housing. But I could not find a properly documented and easily downloaded dataset hence I created one with the help of web-scraping with Python and Pandas.

Content

I spent a lot of time searching for a source for the information I wanted in order to compare affordability. I stumbled upon a great website which was exactly what I was looking for Numbeo The website has a lot of details like affordability index, prime to income ratio, price to rent ratios in and out of city centre and more!

Now I had the data, I needed to download it. Since I couldn't get the raw form of the data, I did web scraping in order to get details in the table for 2009 to 2021 using a for loop to go through all links and create csv files for every year.

What's in the dataset?

Details of columns Note: There are a few null values in the 2009 dataset (mortgage and Affordability Index columns.

Check out the code I used on Github.

Acknowledgements

I couldn't have gotten the data without Numbeo!

Inspiration

I was working on a project trying to see if Price of Housing in Singapore can be justified and wanted more data that's global instead of just from Singapore. Let me know if you have any questions!

Mid‑Term Rental Platforms Market Outlook

According to our latest research, the Global Mid‑Term Rental Platforms market size was valued at $6.2 billion in 2024 and is projected to reach $18.7 billion by 2033, expanding at a CAGR of 12.8% during the forecast period of 2024–2033. This remarkable growth trajectory is primarily driven by the rising demand for flexible housing solutions among digital nomads, expatriates, students, and corporations seeking alternatives to traditional long-term leases and short-term vacation rentals. The evolution of remote work, globalization of talent, and increasing mobility of the workforce have fundamentally altered living patterns, fueling demand for mid-term rental options that offer both convenience and cost-effectiveness. As urbanization accelerates and consumers seek adaptable, tech-enabled housing solutions, the mid-term rental platforms market is poised for robust expansion on a global scale.

Regional Outlook

The North American region currently commands the largest share of the global mid-term rental platforms market, accounting for approximately 38% of total market value in 2024. This dominance is underpinned by a mature digital infrastructure, high internet penetration, and a well-established ecosystem of property management and rental technology providers. The United States, in particular, has witnessed strong adoption among urban professionals, students, and corporate clients, driven by the proliferation of remote work and frequent corporate relocations. Regulatory clarity in key metropolitan areas, coupled with a robust supply of diverse property types, has further accelerated the market’s maturity. Additionally, the presence of leading platform innovators and strong venture capital backing has enabled rapid scaling and innovation, positioning North America as the bellwether for mid-term rental trends.

In contrast, the Asia Pacific region is emerging as the fastest-growing market, projected to register a CAGR of 15.2% from 2024 to 2033. Rapid urbanization, a burgeoning middle class, and the growing influx of international students and expatriates are fueling demand for flexible rental solutions in cities such as Singapore, Tokyo, Sydney, and Bangalore. Governments across the region are increasingly embracing digital transformation in real estate, while local and international investors are pouring capital into platform development and property acquisition. The rise of tech-savvy millennial and Gen Z populations, combined with escalating real estate prices and housing shortages in major urban centers, is accelerating the shift toward mid-term rentals as a viable, affordable alternative. Strategic partnerships between local developers and global platform providers are also fostering innovation and market penetration.

Meanwhile, emerging economies in Latin America and the Middle East & Africa present both significant opportunities and unique challenges for mid-term rental platforms. While demand is growing, especially in gateway cities and educational hubs, adoption is often hampered by fragmented regulatory environments, limited digital payment infrastructure, and a lack of standardized property listings. Localized demand is shaped by specific cultural factors, such as extended family living arrangements and varying attitudes toward rental versus ownership. However, government initiatives to promote smart cities, digital transformation, and international investment in real estate are gradually creating a more conducive environment for mid-term rental platforms. Overcoming these market entry barriers will require tailored strategies, robust localization, and close collaboration with regional stakeholders.

Report Scope