Skip to content
D

Private Consumption Expenditure At Current Prices, Annual

What this data shows

Published by Singapore Department of Statistics. 16 records. Fields include Data Series, 2025, 2024, 2023 (67 columns in total). Covers 1960-01-01 to 2025-12-31. Last updated 2026-09-02.

Description

Annual private consumption expenditure at current prices for Singapore from 1960 through 2025, published by the Singapore Department of Statistics. The national-accounts CSV breaks household and related spending for GDP expenditure analysis. Macroeconomists and retail analysts track nominal consumption growth across decades. Adapted from SingStat TableBuilder TS/M015041.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 10/02/2026 Update Frequency: Annual Footnotes: Data may not add up to the total due to rounding. For more information on national accounts methodologies, please visit Singstat website (https://www.singstat.gov.sg/find-data/explore-data-themes/economy-prices/national-accounts/related-information) to view and download related publications. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M015041

Last updated
Coverage
1960-01-01 – 2025-12-31
Rows
16
Columns
67

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
Private Consumption Expenditure 245455.800000 234887.400000 216305.400000 199217.900000 170558.900000 155787.100000 184264.000000 176475.200000 167527.200000 161024.000000 157343.700000
Food & Non-Alcoholic Beverages 14765.000000 14562.200000 14546.700000 14150.800000 14072.000000 14172.700000 11780.200000 11432.300000 11214.900000 10795.900000 10495.500000
Alcoholic Beverages & Tobacco 3133.800000 3114.000000 3214.500000 3344.300000 3372.700000 3090.800000 2994.300000 3075.200000 2941.900000 3108.100000 3081.200000
Clothing & Footwear 6820.400000 6985.600000 7333.900000 6912.100000 5174.800000 4321.200000 5613.200000 5344.300000 4999.500000 4722.100000 4498.000000
Housing & Utilities 39800.600000 38429.900000 34542.200000 31219.000000 29052.100000 27580.000000 27826.600000 27316.400000 26762.800000 27005.000000 27402.100000
Furnishings, Household Equipment & Routine Household Maintenance 10001.900000 9689.100000 9161.700000 8741.600000 7986.000000 7596.900000 7590.300000 7616.500000 7480.500000 7286.000000 7137.300000
Health 18837.800000 17803.800000 16578.000000 15041.000000 13327.300000 12309.100000 13227.300000 12336.000000 11953.000000 11330.700000 10362.900000
Transport 29445.300000 26775.100000 22324.100000 19068.800000 16019.000000 13612.000000 23091.900000 23564.200000 23881.100000 22879.500000 20822.100000
Communication 5992.400000 5991.400000 5784.300000 6129.800000 6084.100000 6162.200000 6956.800000 6946.800000 6845.100000 6777.800000 6777.200000
Recreation & Culture 22721.400000 20791.100000 20006.100000 16921.400000 13414.600000 11475.500000 17699.100000 17439.600000 17091.300000 16176.700000 16406.200000

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
2025 Numeric 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 Numeric No
2014 Numeric No
2013 Numeric No
2012 Numeric No
2011 Numeric No
2010 Numeric No
2009 Numeric No
2008 Numeric No
2007 Numeric No
2006 Numeric No
2005 Numeric No
2004 Numeric No
2003 Numeric No
2002 Numeric No
2001 Numeric No
2000 Numeric No
1999 Numeric No
1998 Numeric No
1997 Numeric No
1996 Numeric No
1995 Numeric No
1994 Numeric No
1993 Numeric No
1992 Numeric No
1991 Numeric No
1990 Numeric No
1989 Numeric No
1988 Numeric No
1987 Numeric No
1986 Numeric No
1985 Numeric No
1984 Text Yes
1983 Text Yes
1982 Text Yes
1981 Text Yes
1980 Text Yes
1979 Text Yes
1978 Text Yes
1977 Text Yes
1976 Text Yes
1975 Text Yes
1974 Text Yes
1973 Text Yes
1972 Text Yes
1971 Text Yes
1970 Text Yes
1969 Text Yes
1968 Text Yes
1967 Text Yes

Showing the first 60 of 67 columns. Download the CSV for the full schema.