Skip to content
D

Unemployment Rate (End Of Period), Quarterly, Seasonally Adjusted

What this data shows

Published by Singapore Department of Statistics. 3 records. Fields include Data Series, 2026 2Q, 2026 1Q, 2025 4Q (139 columns in total). Covers 1992-01-01 to 2026-06-30. Last updated 2026-09-09.

Description

Seasonally adjusted end-of-period quarterly unemployment rates for Singapore from 1992 through the first quarter of 2026, sourced from the Ministry of Manpower via SingStat. Series cover total and resident unemployment; selected mid-1990s–2005 points draw on census or household surveys when the Labour Force Survey was not run. Macroeconomists treat the series as a core labour-market indicator. Adapted from SingStat TableBuilder TS/M182342.

Official description

Source: MINISTRY OF MANPOWER Data Last Updated: 31/07/2026 Update Frequency: Quarterly Footnotes: Total population comprises residents and non residents. Residents refer to Singapore citizens and permanent residents. Data for June 1995, 2000 and 2005 were obtained from the General Household Survey (June 1995 and 2005) and Population Census (June 2000) conducted by the Singapore Department of Statistics, Ministry of Trade and Industry. The Labour Force Survey was not conducted in these periods. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182342

Last updated
Coverage
1992-01-01 – 2026-06-30
Rows
3
Columns
139

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 Unemployment Rate, (SA) 2.000000 2.000000 2.000000 2.000000 2.000000 2.000000 1.900000 1.900000 2.000000 2.000000 2.000000
Resident Unemployment Rate, (SA) 2.900000 2.900000 2.900000 2.900000 2.700000 2.800000 2.800000 2.600000 2.700000 2.800000 2.800000
Citizen Unemployment Rate, (SA) 3.000000 3.100000 3.000000 3.100000 2.800000 3.000000 3.000000 2.700000 2.800000 3.000000 2.900000

Preview shows 3 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 139 columns. Download the CSV for the full schema.