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D

Supply Of Private Residential Properties In The Pipeline By Development Status (End Of Period), Quarterly

What this data shows

Published by Singapore Department of Statistics. 10 records. Fields include Data Series, 2026 2Q, 2026 1Q, 2025 4Q (134 columns in total). Covers 1993-04-01 to 2026-06-30. Last updated 2026-09-08.

Description

Quarterly pipeline supply of private residential properties in Singapore by development status at period-end, sourced from the Urban Redevelopment Authority and disseminated by SingStat in CSV from 1993 through Q1 2026. Excludes HDB, hostels, and executive condominiums. Property analysts track unsold inventory, construction stages, and private housing supply cycles.

Official description

Source: URBAN REDEVELOPMENT AUTHORITY Data Last Updated: 24/07/2026 Update Frequency: Quarterly Footnotes: Data exclude hostels, HDB flats, tenement houses, parsonages and Executive Condominiums. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M400391

Last updated
Coverage
1993-04-01 – 2026-06-30
Rows
10
Columns
134

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2026 2Q 2026 1Q 2025 4Q 2025 3Q 2025 2Q 2025 1Q 2024 4Q 2024 3Q 2024 2Q 2024 1Q 2023 4Q
Total Landed Properties 1109.000000 1332.000000 1322.000000 1336.000000 1316.000000 1335.000000 1337.000000 1368.000000 1370.000000 1369.000000 1370.000000
Under Construction 985.000000 1228.000000 1235.000000 1232.000000 1223.000000 1238.000000 1246.000000 1250.000000 1072.000000 637.000000 647.000000
Planned - Written Permission 54.000000 57.000000 48.000000 54.000000 57.000000 50.000000 47.000000 48.000000 57.000000 52.000000 47.000000
Planned - Provisional Permission 70.000000 47.000000 39.000000 40.000000 36.000000 47.000000 38.000000 70.000000 241.000000 678.000000 506.000000
Planned - Others 0.000000 0.000000 0.000000 10.000000 0.000000 0.000000 6.000000 0.000000 0.000000 2.000000 170.000000
Total Non-Landed Properties 51677.000000 48111.000000 47358.000000 46787.000000 48474.000000 44134.000000 45934.000000 44997.000000 49598.000000 46335.000000 47191.000000
Under Construction 33112.000000 30827.000000 28903.000000 28020.000000 29403.000000 25667.000000 25633.000000 25255.000000 25534.000000 24916.000000 23653.000000
Planned - Written Permission 1346.000000 1080.000000 1924.000000 2311.000000 1307.000000 1078.000000 1979.000000 3455.000000 2854.000000 4529.000000 3542.000000
Planned - Provisional Permission 2989.000000 4894.000000 3541.000000 5157.000000 4637.000000 7284.000000 6362.000000 5397.000000 8010.000000 7355.000000 5856.000000
Planned - Others 14230.000000 11310.000000 12990.000000 11299.000000 13127.000000 10105.000000 11960.000000 10890.000000 13200.000000 9535.000000 14140.000000

Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Data Series Text No
2026 2Q Numeric No
2026 1Q Numeric No
2025 4Q Numeric No
2025 3Q Numeric No
2025 2Q Numeric No
2025 1Q Numeric No
2024 4Q Numeric No
2024 3Q Numeric No
2024 2Q Numeric No
2024 1Q Numeric No
2023 4Q Numeric No
2023 3Q Numeric No
2023 2Q Numeric No
2023 1Q Numeric No
2022 4Q Numeric No
2022 3Q Numeric No
2022 2Q Numeric No
2022 1Q Numeric No
2021 4Q Numeric No
2021 3Q Numeric No
2021 2Q Numeric No
2021 1Q Numeric No
2020 4Q Numeric No
2020 3Q Numeric No
2020 2Q Numeric No
2020 1Q Numeric No
2019 4Q Numeric No
2019 3Q Numeric No
2019 2Q Numeric No
2019 1Q Numeric No
2018 4Q Numeric No
2018 3Q Numeric No
2018 2Q Numeric No
2018 1Q Numeric No
2017 4Q Numeric No
2017 3Q Numeric No
2017 2Q Numeric No
2017 1Q Numeric No
2016 4Q Numeric No
2016 3Q Numeric No
2016 2Q Numeric No
2016 1Q Numeric No
2015 4Q Numeric No
2015 3Q Numeric No
2015 2Q Numeric No
2015 1Q Numeric No
2014 4Q Numeric No
2014 3Q Numeric No
2014 2Q Numeric No
2014 1Q Numeric No
2013 4Q Numeric No
2013 3Q Numeric No
2013 2Q Numeric No
2013 1Q Numeric No
2012 4Q Numeric No
2012 3Q Numeric No
2012 2Q Numeric No
2012 1Q Numeric No
2011 4Q Numeric No

Showing the first 60 of 134 columns. Download the CSV for the full schema.