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Business Receipts Index For Services Industries, (2014=100), Quarterly

What this data shows

Published by Singapore Department of Statistics. 11 records. Fields include Data Series, 2024 4Q, 2024 3Q, 2024 2Q (93 columns in total). Covers 2002-01-01 to 2024-12-31. Last updated 2026-09-07.

Description

Discontinued quarterly Business Receipts Index for Singapore services industries rebased to 2014=100, classified under SSIC 2020 in SingStat wide-quarter CSV through 2024. Analysts studying historical services-sector revenue cycles should migrate to the replacement Business Receipts for Services Industries series. Adapted from TableBuilder TS/M602011.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/05/2026 Update Frequency: Quarterly Footnotes: Data are classified according to the Singapore Standard Industrial Classification (SSIC) 2020. Relevant methodology paper is available via www.singstat.gov.sg/find-data/search-by-theme/industry/services/publications-and-methodology. This series has been discontinued, please refer to the new series, 'Business Receipts for Services Industries'. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M602011

Last updated
Coverage
2002-01-01 – 2024-12-31
Rows
11
Columns
93

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2024 4Q 2024 3Q 2024 2Q 2024 1Q 2023 4Q 2023 3Q 2023 2Q 2023 1Q 2022 4Q 2022 3Q 2022 2Q
Total Services 176.009000 167.706000 164.126000 159.680000 162.342000 152.921000 149.899000 145.922000 154.540000 147.720000 144.406000
Transportation And Storage 176.703000 179.114000 165.025000 155.108000 157.012000 151.017000 153.519000 151.982000 177.716000 191.025000 184.762000
Information And Communications 350.104000 324.003000 332.664000 313.339000 329.509000 287.049000 272.998000 252.316000 275.378000 246.774000 248.179000
Finance And Insurance 204.344000 191.513000 186.842000 185.912000 178.934000 171.721000 168.354000 166.687000 162.305000 153.698000 148.501000
Real Estate, Professional Services And Administrative & Support Services 116.895000 109.183000 108.191000 103.553000 114.546000 107.338000 107.198000 103.177000 115.506000 106.601000 104.866000
Real Estate 96.763000 94.319000 92.282000 87.625000 92.875000 91.719000 91.803000 86.921000 89.013000 86.105000 81.427000
Professional Services 129.265000 114.735000 114.845000 108.172000 127.430000 112.190000 112.736000 107.619000 126.930000 110.214000 110.714000
Administrative & Support Services 125.025000 121.341000 119.980000 118.870000 124.038000 121.803000 120.154000 119.277000 134.550000 130.315000 129.039000
Education 135.190000 143.898000 133.097000 131.191000 132.472000 134.441000 127.340000 131.995000 132.377000 125.323000 125.004000
Health And Social Services 193.933000 194.342000 186.873000 186.173000 175.998000 176.465000 171.449000 169.977000 169.143000 166.843000 163.638000

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
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 Text No
2018 3Q Text No
2018 2Q Text No
2018 1Q Text No
2017 4Q Text No
2017 3Q Text No
2017 2Q Text No
2017 1Q Text No
2016 4Q Text No
2016 3Q Text No
2016 2Q Text No
2016 1Q Text No
2015 4Q Text No
2015 3Q Text No
2015 2Q Text No
2015 1Q Text No
2014 4Q Text No
2014 3Q Text No
2014 2Q Text No
2014 1Q Text No
2013 4Q Text No
2013 3Q Text No
2013 2Q Text No
2013 1Q Text No
2012 4Q Text No
2012 3Q Text No
2012 2Q Text No
2012 1Q Text No
2011 4Q Text No
2011 3Q Text No
2011 2Q Text No
2011 1Q Text No
2010 4Q Text No
2010 3Q Text No
2010 2Q Text No

Showing the first 60 of 93 columns. Download the CSV for the full schema.