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Details Of Operating Expenditure For All Services Industries, Annual

What this data shows

Published by Singapore Department of Statistics. 209 records. Fields include Data Series, 2024, 2023, 2022 (16 columns in total). Covers 2010-01-01 to 2024-12-31. Last updated 2026-09-02.

Description

Annual details of operating expenditure for all Singapore services industries from 2010 through 2024, classified by SSIC (updated to SSIC 2025) and published by SingStat. Series exclude own-account workers and public administration; finance and insurance estimates are experimental. Industry analysts profile cost structures across the services sector. Adapted from SingStat TableBuilder TS/M601501.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 04/03/2026 Update Frequency: Annual Footnotes: Data are classified according to the Singapore Standard Industrial Classification (SSIC) and have been updated from SSIC 2020 to SSIC 2025. The SSIC is reviewed and updated regularly to reflect significant changes in the structure of the Singapore economy and the emergence of new activities as well as to align with changes in international standards. The correspondence tables between SSIC 2025 and SSIC 2020 are available via (https://www.singstat.gov.sg/standard-classifications/national-classifications/singapore-standard-industrial-classification-ssic-2025).   Data exclude own-account workers (e.g. hawkers, stall holders, freelancers, taxi-drivers, self-employed persons operating private hire vehicles). Operating expenditure includes adjustment for changes in inventory.  Data as at Mar 2026.  The technical notes are available via (https://www.singstat.gov.sg/find-data/explore-data-themes/industry/services/our-data-explained).  Infographics are available via (https://www.singstat.gov.sg/find-data/explore-data-themes/industry/services/interact-with-our-data). Singapore service sector excludes public administration activities. Estimates for the Finance & Insurance industry are experimental. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M601501

Last updated
Coverage
2010-01-01 – 2024-12-31
Rows
209
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
Total Services Sector, Operating Expenditure 5588553.100000 5246263.900000 5537612.400000 4588869.900000 3502622.000000 3805837.800000 3764688.300000 3253253.700000 2719820.800000 2810779.200000 2997768.600000
Remuneration 208983.300000 197860.700000 187477.900000 170295.000000 156563.500000 152944.200000 147263.600000 142336.300000 134574.100000 127230.300000 118916.800000
Changes In Inventory 10382.100000 -1117.200000 117.900000 13354.500000 6825.600000 4236.100000 2665.600000 100.300000 5202.100000 -9308.300000 -5932.600000
Purchases Of Goods & Materials 4255457.600000 4040175.200000 4476941.000000 3704342.700000 2720782.700000 3036947.200000 3058950.100000 2593962.800000 2118696.700000 2217545.900000 2435781.100000
Depreciation 47843.900000 41908.600000 37629.600000 34605.800000 34391.500000 28528.400000 30062.900000 28740.900000 27088.300000 25172.500000 21925.700000
Freight & Transport Charges 241115.600000 224840.400000 265186.100000 206605.800000 141538.500000 131982.700000 116078.400000 90477.600000 80863.100000 90429.900000 88433.000000
Renting Of Office, Shops & Other Premises 30211.600000 26469.300000 27809.300000 25051.400000 24411.300000 26222.700000 23213.900000 22941.200000 21983.300000 21064.400000 19846.000000
Professional Services 62315.500000 48374.300000 46578.700000 43209.600000 38157.100000 31068.400000 29457.000000 31491.100000 27798.300000 23521.300000 21852.900000
Utilities 7293.800000 7119.300000 6307.800000 3800.800000 3502.700000 4034.900000 3852.700000 3390.900000 3603.300000 3851.800000 4167.900000
Communications 8565.000000 7624.600000 9098.600000 8755.600000 7453.400000 4847.300000 4513.700000 4299.800000 4058.100000 4599.500000 4747.500000

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 Yes
2024 Numeric No
2023 Numeric No
2022 Numeric No
2021 Numeric No
2020 Numeric No
2019 Numeric No
2018 Numeric No
2017 Numeric No
2016 Numeric No
2015 Numeric No
2014 Numeric No
2013 Numeric No
2012 Numeric No
2011 Numeric No
2010 Numeric No