Property Rental Index, Office In Central Region By Locality, (4th Quarter 1998 = 100), Quarterly

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Data from Apr 1987 to Mar 2025

Last updated: 12 Jun 2025, 23:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: URBAN REDEVELOPMENT AUTHORITY

Data Last Updated: 25/04/2025

Update Frequency: Quarterly

Footnotes: Data refer to properties owned by the private sector. The rental index is computed based on fixed weights before 4th Quarter 1998. The weights used to compute the index are updated every quarter from 4th Quarter 1998. Rental indices are computed from data on rentals provided by the Inland Revenue Authority of Singapore (IRAS).

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M210211

Data explorer

PropertyRentalIndexOfficeInCentralRegionByLocality4thQuarter1998100Quarterly.csv (3 rows, 4.7 KB)

Data Series Text	2025 1Q Numeric	2024 4Q Numeric	2024 3Q Numeric	2024 2Q Numeric	2024 1Q Numeric	2023 4Q Numeric	2023 3Q Numeric	2023 2Q Numeric	2023 1Q Numeric	2022 4Q Numeric	2022 3Q Numeric	2022 2Q Numeric	2022 1Q Numeric	2021 4Q Numeric	2021 3Q Numeric	2021 2Q Numeric	2021 1Q Numeric	2020 4Q Numeric	2020 3Q Numeric	2020 2Q Numeric	2020 1Q Numeric	2019 4Q Numeric	2019 3Q Numeric	2019 2Q Numeric	2019 1Q Numeric	2018 4Q Numeric	2018 3Q Numeric	2018 2Q Numeric	2018 1Q Numeric	2017 4Q Numeric	2017 3Q Numeric	2017 2Q Numeric	2017 1Q Numeric	2016 4Q Numeric	2016 3Q Numeric	2016 2Q Numeric	2016 1Q Numeric	2015 4Q Numeric	2015 3Q Numeric	2015 2Q Numeric	2015 1Q Numeric	2014 4Q Numeric	2014 3Q Numeric	2014 2Q Numeric	2014 1Q Numeric	2013 4Q Numeric	2013 3Q Numeric	2013 2Q Numeric	2013 1Q Numeric	2012 4Q Numeric	2012 3Q Numeric	2012 2Q Numeric	2012 1Q Numeric	2011 4Q Numeric	2011 3Q Numeric	2011 2Q Numeric	2011 1Q Numeric	2010 4Q Numeric	2010 3Q Numeric	2010 2Q Numeric	2010 1Q Numeric	2009 4Q Numeric	2009 3Q Numeric	2009 2Q Numeric	2009 1Q Numeric	2008 4Q Numeric	2008 3Q Numeric	2008 2Q Numeric	2008 1Q Numeric	2007 4Q Numeric	2007 3Q Numeric	2007 2Q Numeric	2007 1Q Numeric	2006 4Q Numeric	2006 3Q Numeric	2006 2Q Numeric	2006 1Q Numeric	2005 4Q Numeric	2005 3Q Numeric	2005 2Q Numeric	2005 1Q Numeric	2004 4Q Numeric	2004 3Q Numeric	2004 2Q Numeric	2004 1Q Numeric	2003 4Q Numeric	2003 3Q Numeric	2003 2Q Numeric	2003 1Q Numeric	2002 4Q Numeric	2002 3Q Numeric	2002 2Q Numeric	2002 1Q Numeric	2001 4Q Numeric	2001 3Q Numeric	2001 2Q Numeric	2001 1Q Numeric	2000 4Q Numeric	2000 3Q Numeric	2000 2Q Numeric	2000 1Q Numeric	1999 4Q Numeric	1999 3Q Numeric	1999 2Q Numeric	1999 1Q Numeric	1998 4Q Numeric	1998 3Q Numeric	1998 2Q Numeric	1998 1Q Numeric	1997 4Q Numeric	1997 3Q Numeric	1997 2Q Numeric	1997 1Q Numeric	1996 4Q Numeric	1996 3Q Numeric	1996 2Q Numeric	1996 1Q Numeric	1995 4Q Numeric	1995 3Q Numeric	1995 2Q Numeric	1995 1Q Numeric	1994 4Q Numeric	1994 3Q Numeric	1994 2Q Numeric	1994 1Q Numeric	1993 4Q Numeric	1993 3Q Numeric	1993 2Q Numeric	1993 1Q Numeric	1992 4Q Numeric	1992 3Q Numeric	1992 2Q Numeric	1992 1Q Numeric	1991 4Q Numeric	1991 3Q Numeric	1991 2Q Numeric	1991 1Q Numeric	1990 4Q Numeric	1990 3Q Numeric	1990 2Q Numeric	1990 1Q Numeric	1989 4Q Text	1989 3Q Text	1989 2Q Text	1989 1Q Text	1988 4Q Text	1988 3Q Text	1988 2Q Text	1988 1Q Text	1987 4Q Text	1987 3Q Text	1987 2Q Text
(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%	(Null)66.7%
Whole Of Central Region	200.6	200	201.8	202.8	196.7	200.1	199.5	190.2	185.9	176.9	168.3	164.8	160.9	158.4	157	162.7	160.6	155.5	161.1	168.7	168.7	170	175.7	176.8	174.5	175.5	174.6	170.3	167.6	163.4	159.3	155.6	157.3	162.8	165.7	167.6	173.7	177.4	180.6	186	190.9	189.8	186.6	181.8	176.9	172.8	171.9	170.5	170.2	170.5	171	171.1	172	172.8	172.2	170.6	168	159.4	152.3	143.7	142.1	141.6	146.4	152.7	165.5	185.3	198.2	199.7	187.8	175.1	157.9	137.5	123.9	112.2	100.5	93.9	88.1	86.1	80.7	78.9	78.1	76.4	75.8	73.9	73.4	73.8	74.9	77.7	79.6	82.5	85.2	87.7	91.9	94.1	100.9	103.8	104.1	102.1	99.6	97.1	93.2	90.7	89.9	91.9	95.6	100	105	111	116.6	120.7	123.6	126.3	127.4	128.2	131.1	132.8	130.7	126.2	121.5	115.3	107.8	96.1	94.2	88.5	87.3	86.3	86.5	93.4	95.5	99	103.9	106.1	111.3	120.5	121.8	122.3	127.6	128.9	129.7	119.2	110.8	101.9	86	73.9	68.3	66.5	66.7	61.8	58.2	56.3	54.4	51.8
Central Area	200.5	200.3	202.7	203.7	198.9	201.9	200.9	191	188.2	181.1	169.9	166.4	163.8	161.9	160.6	167.3	165.3	160	167	172.2	176.3	175.8	182.2	181.4	180.6	181.4	180.4	175.2	172.5	168.1	163.8	160	162.2	168.6	172	174.1	180.1	183.8	187	192.9	198	196.2	192.3	187	181.6	176.9	175.8	174	173.4	173.7	174.4	174.6	175.6	176.8	175.9	174.4	172	163.6	156.2	147.3	145.8	145.5	151.2	157.7	171.6	192.9	206.4	207.1	193.7	180.4	162.5	141.3	126.6	114.2	102.2	95.3	89	86.7	81	79.1	78.3	76.5	75.8	73.7	73.3	73.6	74.9	78	79.8	82.9	85.7	88.1	92.1	94.2	101.2	104	104.1	102.2	100	97.2	92.7	90.5	89.6	91.5	95.6	100	105.1	110.1	116.1	119.6	122	125.4	126	126.5	129.1	130.8	130.1	126.5	122.4	116.6	109.1	96.6	94.4	88.3	87.4	86.2	86.5	93.1	96	99	103.7	106.8	112.5	119.4	121	122.2	128.1	128.2	128.3	117.9	112.3	na	na	na	na	na	na	na	na	na	na	na
Fringe Area	191.9	188.1	187	186.6	174.6	178.9	182	177.2	163.9	150.6	156.9	153.1	140.7	135	134.6	134.9	132.6	130.9	135.5	142.8	141.3	143.1	145.5	149.7	143.2	145	146	145.7	143.2	139.7	136.8	133.9	133.6	133.6	135	135.3	140.6	144.8	147.8	149.5	153.1	154.4	152.8	149.9	146.6	143.9	143.2	143.1	143	143.1	142.7	142.7	142.7	142.7	142.9	142.6	138.9	131.5	127.4	121.2	119.3	117.8	119.6	124.8	131.6	139.3	148	151.7	149	140.8	128.8	116	107.1	99.4	89.9	85	82.1	81.5	78.7	77	76.6	76.2	75.5	74.9	74.1	74.6	74.7	75	77.6	79.5	81.4	84.1	89.9	93.2	97.8	102.8	103.6	101.3	96.8	96.4	96.2	91.7	92.1	94.7	95.5	100	104.6	115.9	119.2	126.9	132.7	131.8	135.2	138.2	142.3	144	133.9	124.6	115.9	107.8	100.3	93.3	93.3	90	86.5	86.5	86.7	95.1	92.9	98.8	104.6	102.4	104.9	126.7	126.7	122.6	124.6	132.8	137.9	126.7	102.8	na	na	na	na	na	na	na	na	na	na	na

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Index	-
2025 1Q	20251Q	Numeric	Index	-
2024 4Q	20244Q	Numeric	Index	-
2024 3Q	20243Q	Numeric	Index	-
2024 2Q	20242Q	Numeric	Index	-
2024 1Q	20241Q	Numeric	Index	-
2023 4Q	20234Q	Numeric	Index	-
2023 3Q	20233Q	Numeric	Index	-
2023 2Q	20232Q	Numeric	Index	-
2023 1Q	20231Q	Numeric	Index	-

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_0c8aa26a461084bdf712976aae1d810a"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Property Rental Index, Office In Central Region By Locality, (4th Quarter 1998 = 100), Quarterly (2025) [Dataset]. data.gov.sg. Retrieved June 20, 2025 from https://data.gov.sg/datasets/d_0c8aa26a461084bdf712976aae1d810a/view

Data explorer

PropertyRentalIndexOfficeInCentralRegionByLocality4thQuarter1998100Quarterly.csv (3 rows, 4.7 KB)

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Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

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