Singapore Property Rental Index: Private Residential (PR) data was reported at 159.000 4Q1998=100 in Dec 2014. This records a decrease from the previous number of 160.600 4Q1998=100 for Sep 2014. Singapore Property Rental Index: Private Residential (PR) data is updated quarterly, averaging 138.200 4Q1998=100 from Mar 1990 (Median) to Dec 2014, with 100 observations. The data reached an all-time high of 164.800 4Q1998=100 in Sep 2013 and a record low of 89.200 4Q1998=100 in Jun 2004. Singapore Property Rental Index: Private Residential (PR) 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.

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.

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.

In the fourth quarter of 2024, Singapore's retail real estate rental index was at ****. The retail real estate space rental index had started to decline after the fourth quarter of 2019.

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.

Singapore Property Rental Index: Office: Fringe Area data was reported at 146.000 4Q1998=100 in Sep 2018. This records an increase from the previous number of 145.700 4Q1998=100 for Jun 2018. Singapore Property Rental Index: Office: Fringe Area data is updated quarterly, averaging 121.200 4Q1998=100 from Mar 1990 (Median) to Sep 2018, with 115 observations. The data reached an all-time high of 154.400 4Q1998=100 in Dec 2014 and a record low of 74.100 4Q1998=100 in Mar 2004. Singapore Property Rental Index: Office: Fringe Area 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.

Dataset from Urban Redevelopment Authority. For more information, visit https://data.gov.sg/datasets/d_8e4c50283fb7052a391dfb746a05c853/view

Singapore Property Rental Index: Retail Space: Central Area data was reported at 99.000 4Q1998=100 in Sep 2018. This records a decrease from the previous number of 100.200 4Q1998=100 for Jun 2018. Singapore Property Rental Index: Retail Space: Central Area data is updated quarterly, averaging 118.900 4Q1998=100 from Mar 2011 (Median) to Sep 2018, with 31 observations. The data reached an all-time high of 121.600 4Q1998=100 in Dec 2011 and a record low of 99.000 4Q1998=100 in Sep 2018. Singapore Property Rental Index: Retail Space: Central Area 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.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_37e46b203bb77387328d25882247d000/view

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.

Analysis of ‘Property Prices Index By City 2009 to 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jolenech/property-prices-index-by-city-2009-to-2021 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

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!

--- Original source retains full ownership of the source dataset ---

Singapore Consumer Price Index (CPI): IL: Highest 20 %: Less Imputed Rent (Owner-occupied Accom) data was reported at 102.646 2014=100 in Jun 2018. This records an increase from the previous number of 102.055 2014=100 for Dec 2017. Singapore Consumer Price Index (CPI): IL: Highest 20 %: Less Imputed Rent (Owner-occupied Accom) data is updated semiannually, averaging 98.493 2014=100 from Jun 2008 (Median) to Jun 2018, with 21 observations. The data reached an all-time high of 102.646 2014=100 in Jun 2018 and a record low of 85.067 2014=100 in Jun 2009. Singapore Consumer Price Index (CPI): IL: Highest 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.

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.

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.

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.

新加坡 Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Acc)在2020-06达99.667 2019=100，相较于2019-12的100.091 2019=100有所下降。新加坡 Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Acc)数据按每半年更新，2008-06至2020-06期间平均值为95.537 2019=100，共25份观测结果。该数据的历史最高值出现于2019-12，达100.091 2019=100，而历史最低值则出现于2009-06，为83.392 2019=100。CEIC提供的新加坡 Consumer Price Index (CPI): IL: Middle 60 %: Less Imputed Rent (Owner-occupied Acc)数据处于定期更新的状态，数据来源于Department of Statistics，数据归类于Global Database的新加坡 – Table SG.I015: Consumer Price Index: By Income Levels: 2019=100。

居民消费价格指数：IL：中等60%：减少归属租值（业主在住的房屋）在06-01-2018达103.2722014=100，相较于12-01-2017的102.5462014=100有所增长。居民消费价格指数：IL：中等60%：减少归属租值（业主在住的房屋）数据按半年更新，06-01-2008至06-01-2018期间平均值为98.2962014=100，共21份观测结果。该数据的历史最高值出现于06-01-2018，达103.2722014=100，而历史最低值则出现于06-01-2009，为87.1432014=100。CEIC提供的居民消费价格指数：IL：中等60%：减少归属租值（业主在住的房屋）数据处于定期更新的状态，数据来源于Department of Statistics，数据归类于Global Database的新加坡 – 表 SG.I011：居民消费价格指数：按收入水平：2014年=100。

居民消费价格指数：IL：最高20%：减少归属租值（业主在住的房屋）在06-01-2018达102.6462014=100，相较于12-01-2017的102.0552014=100有所增长。居民消费价格指数：IL：最高20%：减少归属租值（业主在住的房屋）数据按半年更新，06-01-2008至06-01-2018期间平均值为98.4932014=100，共21份观测结果。该数据的历史最高值出现于06-01-2018，达102.6462014=100，而历史最低值则出现于06-01-2009，为85.0672014=100。CEIC提供的居民消费价格指数：IL：最高20%：减少归属租值（业主在住的房屋）数据处于定期更新的状态，数据来源于Department of Statistics，数据归类于Global Database的新加坡 – 表 SG.I011：居民消费价格指数：按收入水平：2014年=100。