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D

Number Of Withdrawals Of Central Provident Fund By Type, Annual

Description

Annual counts of Central Provident Fund withdrawals by type, published by the Singapore Department of Statistics from CPF Board data back to 1960. Wide year columns capture housing, retirement, investment-linked, and other withdrawal categories over time. Policy analysts study CPF usage patterns, retirement adequacy, and housing equity extraction in Singapore’s social security system.

Official description

Source: CENTRAL PROVIDENT FUND BOARD Data Last Updated: 27/04/2026 Update Frequency: Annual Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M700311

Last updated
Coverage
1960-01-01 – 2025-12-31
Rows
4
Columns
67

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 1965 1964 1963 1962 1961 1960 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007
Housing Schemes - Public Housing na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na 736064.000000 720521.000000 723876.000000 741711.000000 750100.000000 741262.000000 743560.000000 755074.000000 769206.000000 739964.000000 731292.000000 733637.000000 742813.000000 752740.000000 749989.000000 739922.000000 727853.000000 718887 728978
Housing Schemes - Private Housing na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na na 278432.000000 276068.000000 272905.000000 246396.000000 246796.000000 230989.000000 227496.000000 228191.000000 217520.000000 201763.000000 188640.000000 177360.000000 173105.000000 164704.000000 153893.000000 148205.000000 145066.000000 na na
Leaving Singapore & Malaysia Permanently 10479 9865 9836 8611 9060 8106 7280 7669 8744 8218 8841 7799 5859 5110 4629 4940 4838 5076 5011 5070 6890 10085 8424 14635 8304 3800 2961 1921 1382 1379 1454 1578 1350 1147 874 2273 1843 2230 2565 2047 1666 1207 1223 1145 1348 1793 2358 13165.000000 45345.000000 24300.000000 8405.000000 3537.000000 4914.000000 11838.000000 12841.000000 12822.000000 13046.000000 13591.000000 14081.000000 13868.000000 15038.000000 14619.000000 13454.000000 12255.000000 11130 10848
Death 23358 25225 14245 13872 13967 14373 12649 15376 15084 12446 10545 6207 6101 4802 4915 4599 3852 4065 3813 3141 3415 3325 3171 3509 2969 2300 2206 2247 2207 2147 2038 2261 1741 1941 1596 1523 1136 995 981 966 878 916 964 950 847 775 776 26684.000000 26827.000000 27021.000000 27107.000000 23972.000000 21744.000000 21147.000000 20875.000000 20604.000000 20465.000000 20510.000000 19395.000000 18796.000000 18472.000000 19869.000000 18544.000000 19802.000000 17258 17075

Columns

Column Type Categorical
Data Series Text No
2006 Text No
2005 Text No
2004 Text No
2003 Text No
2002 Text No
2001 Text No
2000 Text No
1999 Text No
1998 Text No
1997 Text No
1996 Text No
1995 Text No
1994 Text No
1993 Text No
1992 Text No
1991 Text No
1990 Text No
1989 Text No
1988 Text No
1987 Text No
1986 Text No
1985 Text No
1984 Text No
1983 Text No
1982 Text No
1981 Text No
1980 Text No
1979 Text No
1978 Text No
1977 Text No
1976 Text No
1975 Text No
1974 Text No
1973 Text No
1972 Text No
1971 Text No
1970 Text No
1969 Text No
1968 Text No
1967 Text No
1966 Text No
1965 Text No
1964 Text No
1963 Text No
1962 Text No
1961 Text No
1960 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 Text No
2007 Text No