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D

Gross Domestic Product In Chained (2015) Dollars, By Industry (SSIC 2020), Seasonally Adjusted, Quarter on Quarter Growth

What this data shows

Published by Singapore Department of Statistics. 29 records. Fields include Data Series, 2025 2Q, 2025 1Q, 2024 4Q (202 columns in total). Covers 1975-04-01 to 2025-06-30. Last updated 2025-08-12.

Description

Seasonally adjusted quarter-on-quarter growth in Singapore's gross domestic product in chained (2015) dollars, broken down by industry under SSIC 2020, spanning the second quarter of 1975 through the second quarter of 2025. The CSV is laid out as a long time series with one column per quarter and one row per industry series, from manufacturing and construction to the services sectors. Macroeconomists and sector analysts use it to read short-term momentum in the Singapore economy quarter by quarter. Adapted from SingStat TableBuilder TS/M015902.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 12/08/2025 Update Frequency: Quarterly Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M015902

Last updated
Coverage
1975-04-01 – 2025-06-30
Rows
29
Columns
202

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2025 2Q 2025 1Q 2024 4Q 2024 3Q 2024 2Q 2024 1Q 2023 4Q 2023 3Q 2023 2Q 2023 1Q 2022 4Q
GDP In Chained (2015) Dollars 1.400000 -0.500000 0.500000 3.000000 1.100000 0.300000 1.200000 0.900000 0.900000 -0.100000 0.100000
Goods Producing Industries 0.700000 -4.200000 0.000000 9.000000 0.200000 -2.800000 3.400000 0.300000 -1.000000 -1.000000 -1.500000
Manufacturing -0.400000 -5.200000 0.000000 11.700000 -0.900000 -3.200000 3.800000 0.100000 -1.300000 -1.600000 -1.600000
Construction 5.700000 -2.000000 0.300000 1.900000 5.100000 -2.800000 0.800000 2.400000 2.300000 -0.600000 -0.300000
Utilities 1.000000 -1.100000 0.400000 0.400000 1.800000 0.700000 -0.300000 0.900000 0.800000 -0.800000 1.900000
Other Goods Industries -2.900000 2.200000 1.000000 -4.600000 0.500000 2.500000 1.000000 3.900000 -0.800000 1.000000 1.300000
Services Producing Industries 1.500000 0.600000 0.900000 1.200000 1.000000 1.500000 0.500000 1.000000 1.400000 0.300000 0.800000
Wholesale & Retail Trade 2.300000 0.000000 0.800000 1.300000 1.800000 2.200000 -0.100000 0.300000 0.500000 0.000000 0.300000
Wholesale Trade 2.800000 -0.500000 0.900000 1.300000 2.300000 2.000000 0.000000 0.200000 0.700000 -0.400000 0.500000
Retail Trade -1.400000 2.000000 -1.200000 1.300000 -1.900000 1.000000 -1.300000 0.000000 2.600000 0.100000 1.200000

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
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
2011 3Q Numeric No
2011 2Q Numeric No
2011 1Q Numeric No
2010 4Q Numeric No

Showing the first 60 of 202 columns. Download the CSV for the full schema.