Business Expectations Of The Manufacturing Sector - Forecast By Industry, Quarterly, Seasonally Adjusted | SINGSTAT

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Business Expectations Of The Manufacturing Sector - Forecast By Industry, Quarterly, Seasonally Adjusted

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 31/07/2026

Update Frequency: Quarterly

Footnotes: A plus sign indicates a positive balance or net upward trend and a minus sign denotes a negative balance or net downward trend. From 2005, investment on buildings and plant & machinery data is only available annually at 2nd quarter.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M250142

Last updated 3 days ago (12 Sep 2026)

Updated quarterly

Data explorer

BusinessExpectationsOfTheManufacturingSectorForecastByIndustryQuarterlySeasonallyAdjusted.csv (1 rows, 3.5 KB)

Data Series Text	2026 2Q Numeric	2026 1Q Numeric	2025 4Q Numeric	2025 3Q Numeric	2025 2Q Numeric	2025 1Q Numeric	2024 4Q Numeric	2024 3Q Numeric	2024 2Q Numeric	2024 1Q Numeric	2023 4Q Numeric	2023 3Q Numeric	2023 2Q Numeric	2023 1Q Numeric	2022 4Q Numeric	2022 3Q Numeric	2022 2Q Numeric	2022 1Q Numeric	2021 4Q Numeric	2021 3Q Numeric	2021 2Q Numeric	2021 1Q Numeric	2020 4Q Numeric	2020 3Q Numeric	2020 2Q Numeric	2020 1Q Numeric	2019 4Q Numeric	2019 3Q Numeric	2019 2Q Numeric	2019 1Q Numeric	2018 4Q Numeric	2018 3Q Numeric	2018 2Q Numeric	2018 1Q Numeric	2017 4Q Numeric	2017 3Q Numeric	2017 2Q Numeric	2017 1Q Numeric	2016 4Q Numeric	2016 3Q Numeric	2016 2Q Numeric	2016 1Q Numeric	2015 4Q Numeric	2015 3Q Numeric	2015 2Q Numeric	2015 1Q Numeric	2014 4Q Numeric	2014 3Q Numeric	2014 2Q Numeric	2014 1Q Numeric	2013 4Q Numeric	2013 3Q Numeric	2013 2Q Numeric	2013 1Q Numeric	2012 4Q Numeric	2012 3Q Numeric	2012 2Q Numeric	2012 1Q Numeric	2011 4Q Numeric	2011 3Q Numeric	2011 2Q Numeric	2011 1Q Numeric	2010 4Q Numeric	2010 3Q Numeric	2010 2Q Numeric	2010 1Q Numeric	2009 4Q Numeric	2009 3Q Numeric	2009 2Q Numeric	2009 1Q Numeric	2008 4Q Numeric	2008 3Q Numeric	2008 2Q Numeric	2008 1Q Numeric	2007 4Q Numeric	2007 3Q Numeric	2007 2Q Numeric	2007 1Q Numeric	2006 4Q Numeric	2006 3Q Numeric	2006 2Q Numeric	2006 1Q Numeric	2005 4Q Numeric	2005 3Q Numeric	2005 2Q Numeric	2005 1Q Numeric	2004 4Q Numeric	2004 3Q Numeric	2004 2Q Numeric	2004 1Q Numeric	2003 4Q Numeric	2003 3Q Numeric	2003 2Q Numeric	2003 1Q Numeric	2002 4Q Numeric	2002 3Q Numeric	2002 2Q Numeric	2002 1Q Numeric	2001 4Q Numeric	2001 3Q Numeric	2001 2Q Numeric	2001 1Q Numeric	2000 4Q Numeric	2000 3Q Numeric	2000 2Q Numeric	2000 1Q Numeric	1999 4Q Numeric	1999 3Q Numeric	1999 2Q Numeric	1999 1Q Numeric	1998 4Q Numeric	1998 3Q Numeric	1998 2Q Numeric	1998 1Q Numeric	1997 4Q Numeric	1997 3Q Numeric	1997 2Q Numeric	1997 1Q Numeric	1996 4Q Numeric	1996 3Q Numeric	1996 2Q Numeric	1996 1Q Numeric	1995 4Q Numeric	1995 3Q Numeric	1995 2Q Numeric	1995 1Q Numeric	1994 4Q Numeric	1994 3Q Numeric	1994 2Q Numeric	1994 1Q Numeric	1993 4Q Numeric	1993 3Q Numeric	1993 2Q Numeric	1993 1Q Numeric	1992 4Q Numeric	1992 3Q Numeric	1992 2Q Numeric	1992 1Q Numeric	1991 4Q Numeric	1991 3Q Numeric	1991 2Q Numeric	1991 1Q Numeric	1990 4Q Numeric	1990 3Q Numeric	1990 2Q Numeric	1990 1Q Numeric	1989 4Q Numeric	1989 3Q Numeric	1989 2Q Numeric	1989 1Q Numeric	1988 4Q Numeric	1988 3Q Numeric	1988 2Q Numeric	1988 1Q Numeric	1987 4Q Numeric	1987 3Q Numeric	1987 2Q Numeric	1987 1Q Numeric	1986 4Q Numeric	1986 3Q Numeric	1986 2Q Numeric	1986 1Q Numeric	1985 4Q Numeric	1985 3Q Numeric	1985 2Q Numeric	1985 1Q Numeric	1984 4Q Numeric	1984 3Q Numeric	1984 2Q Numeric	1984 1Q Numeric	1983 4Q Numeric	1983 3Q Numeric	1983 2Q Numeric	1983 1Q Numeric	1982 4Q Numeric	1982 3Q Numeric	1982 2Q Numeric	1982 1Q Numeric	1981 4Q Numeric	1981 3Q Numeric	1981 2Q Numeric	1981 1Q Numeric	1980 4Q Numeric	1980 3Q Numeric	1980 2Q Numeric	1980 1Q Numeric	1979 4Q Numeric	1979 3Q Numeric	1979 2Q Numeric	1979 1Q Numeric	1978 4Q Numeric	1978 3Q Numeric	1978 2Q Numeric	1978 1Q Numeric	1977 4Q Numeric	1977 3Q Numeric	1977 2Q Numeric	1977 1Q Numeric	1976 4Q Numeric	1976 3Q Numeric	1976 2Q Numeric	1976 1Q Numeric	1975 4Q Numeric	1975 3Q Numeric	1975 2Q Numeric	1975 1Q Numeric	1974 4Q Numeric	1974 3Q Numeric	1974 2Q Numeric	1974 1Q Numeric	1973 4Q Numeric	1973 3Q Numeric	1973 2Q Numeric	1973 1Q Numeric	1972 4Q Numeric	1972 3Q Numeric	1972 2Q Numeric	1972 1Q Numeric	1971 4Q Numeric	1971 3Q Numeric	1971 2Q Numeric	1971 1Q Numeric	1970 4Q Numeric	1970 3Q Numeric	1970 2Q Numeric	1970 1Q Numeric
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General Business Expectations (Forecast For Next 6 Months)	10.3	12.3	14.8	10.5	3.6	-10.9	19.6	12.6	21.9	16.7	13.7	9.7	5.1	-3.6	-21.1	-17.3	-8.7	-4	12.1	18.6	19.5	31.6	36.4	-0.4	-7.5	-62.7	16.6	-2.2	-11.7	-5.8	-9.3	2.1	6	6.1	5.8	8.4	2.6	0	7	7.8	-2.9	-6.2	-16.4	-12.1	-0.7	-2.1	3	5.1	2.5	0.2	10.5	3	3.6	5.8	-3	-7.3	-4	9.2	-3.3	-7	6.7	6.7	28.1	5.4	12.5	24	22.4	10.8	-7.5	-37.7	-48.3	-16.8	-4.5	-11.1	10.5	25.7	16.8	22.3	15.2	22.5	21	22.8	22.6	16.4	19.5	9.8	11.9	12.6	20.1	35.7	26	23.1	-3.3	-17.6	-7.1	-9.9	7.1	28	-15.9	-26.2	-24.3	-23.6	0.4	27.4	25.3	21.8	18.9	17.3	19.6	8	-1.3	-17.9	-23.4	-4.5	-10.5	26.9	15.4	19.9	15.7	4.5	2.9	15.5	22.1	26.1	18.2	24.1	22.8	22.5	24.4	24.7	24.7	12.7	13.6	11.6	14.7	13.7	18.5	11.7	6.7	10.6	16.5	21	-2.5	11.2	17.8	19.3	23.2	18.8	15.3	23.6	18.7	24.4	30.2	24.8	23.9	36.9	37.3	23.9	22.1	22.4	11.7	11.9	-13.8	-18.1	-23.9	-17	0.1	8.4	26.7	35	42.9	37.1	32.2	20.9	8.7	-2.1	-1.4	2.8	-2.3	12.6	10.9	18.7	29	29.3	20.1	31.4	34.6	28.8	26.1	29.1	32.4	37.3	39	30.1	32	22.8	13.8	14.3	24.5	37.4	41.4	46.8	45.6	36.1	28.2	13	-25.1	-22.2	4	18.4	5	41.4	43.1	36.4	55.1	50.3	39.1	40.6	31.2	28.1	35	30	50	47.8	35.1	41.3

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	In Percentage Terms	-
2026 2Q	20262Q	Numeric	In Percentage Terms	-
2026 1Q	20261Q	Numeric	In Percentage Terms	-
2025 4Q	20254Q	Numeric	In Percentage Terms	-
2025 3Q	20253Q	Numeric	In Percentage Terms	-
2025 2Q	20252Q	Numeric	In Percentage Terms	-
2025 1Q	20251Q	Numeric	In Percentage Terms	-
2024 4Q	20244Q	Numeric	In Percentage Terms	-
2024 3Q	20243Q	Numeric	In Percentage Terms	-
2024 2Q	20242Q	Numeric	In Percentage Terms	-

Sample OpenAPI query

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import requests
          
dataset_id = "d_24f6d99e4a522da318fa011682cb51ff"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Business Expectations Of The Manufacturing Sector - Forecast By Industry, Quarterly, Seasonally Adjusted (2026) [Dataset]. data.gov.sg. Retrieved September 15, 2026 from https://data.gov.sg/datasets/d_24f6d99e4a522da318fa011682cb51ff/view

Business Expectations Of The Manufacturing Sector - Forecast By Industry, Quarterly, Seasonally Adjusted

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BusinessExpectationsOfTheManufacturingSectorForecastByIndustryQuarterlySeasonallyAdjusted.csv (1 rows, 3.5 KB)

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