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D

Key Indicators By Detailed Industry In All Services Industries, Annual

What this data shows

Published by Singapore Department of Statistics. 1,063 records. Fields include Data Series, 2024, 2023, 2022 (16 columns in total). Covers 2010-01-01 to 2024-12-31. Last updated 2026-09-09.

Description

Singapore Department of Statistics CSV of key indicators by detailed industry across all services industries, annually from 2010 through 2024. Industries are classified under SSIC (updated from 2020 to 2025), excluding own-account workers such as hawkers and private-hire drivers; public administration is out of scope and finance and insurance estimates are experimental. Economists and industry analysts study operating metrics across detailed service sectors. Adapted from SingStat TableBuilder TS/M601481.

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).  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/M601481

Last updated
Coverage
2010-01-01 – 2024-12-31
Rows
1,063
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
Establishments, Total Services Sector 320595.000000 305030.000000 287340.000000 276705.000000 268669.000000 260036.000000 247840.000000 241280.000000 237094.000000 230857 224095
SSIC 46 - Total Wholesale Trade 57715.000000 55054.000000 53847.000000 54081.000000 53506.000000 52370.000000 51117.000000 50699.000000 50572.000000 49363 48311
SSIC 46100 - Wholesale On A Fee Or Commission Basis 1544.000000 1575.000000 1545.000000 1732.000000 1635.000000 1607.000000 1527.000000 1443.000000 1376.000000 1287 1359
SSIC 4621/2 - Agricultural Raw Materials & Live Animals 974.000000 922.000000 947.000000 921.000000 904.000000 901.000000 787.000000 749.000000 698.000000 684 706
SSIC 46301 - Fruits & Vegetables (Including Fresh And Frozen) 701.000000 694.000000 697.000000 661.000000 681.000000 608.000000 594.000000 593.000000 571.000000 545 518
SSIC 46302 - Livestock, Meat, Poultry, Eggs & Seafood (Including Fresh A... 945.000000 913.000000 922.000000 860.000000 889.000000 855.000000 834.000000 860.000000 828.000000 811 791
SSIC 46303 - A General Line (Wide Range) Of Groceries (e.g. Cereals, Sug... 454.000000 450.000000 438.000000 399.000000 408.000000 357.000000 342.000000 350.000000 348.000000 353 349
SSIC 46304/5 - Confectionery & Bakery Products, Ice-Cream 237.000000 231.000000 238.000000 248.000000 256.000000 271.000000 257.000000 267.000000 260.000000 232 231
SSIC 46306 - Health Supplements 464.000000 434.000000 434.000000 434.000000 531.000000 543.000000 560.000000 521.000000 492.000000 442 435
SSIC 46307 - Liquor, Soft Drinks & Beverages 713.000000 682.000000 624.000000 601.000000 525.000000 465.000000 444.000000 439.000000 427.000000 402 381

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 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 Text No
2014 Text No
2013 Text No
2012 Text No
2011 Text No
2010 Text No