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CSV Singapore Department of Statistics

Resident Households by Monthly Household Income from Work*, Ethnic Group and Sex of Head of Household (Census of Population 2000)

Description

Census of Population 2000 table on Singapore resident households by monthly household income from work, cross-tabulated with the ethnic group and sex of the head of household. The 16 columns give totals plus Chinese, Malay, Indian, and other ethnic groups, each split by male and female heads of household, while rows band households by income. Income from work has been revised to include Additional MediSave Contributions from employers. Researchers use it to study income distribution across ethnic groups at the turn of the century. Adapted from SingStat TableBuilder CT/9068.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 09/07/2026 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: Note: Data on income from work have been updated to include Additional MediSave Contributions from employers with the release of the Key Household Income Trends 2025 report in February 2026. For more information, you may refer to the Technical Note on Household Income (https://go.gov.sg/khit2025-tech-note) which explains the concepts and components of our household income coverage. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/9068

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Last updated
Rows
17
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Chinese) Total (Chinese) Males (Chinese) Females (Malays) Total (Malays) Males (Malays) Females (Indians) Total (Indians) Males (Indians) Females (Others) Total (Others) Males (Others) Females
Total 915090.000000 753552.000000 161538.000000 720848.000000 590239.000000 130609.000000 108634.000000 92252.000000 16381.000000 72933.000000 60793.000000 12141.000000 12674.000000 10268.000000 2406.000000
Below $500 83710.000000 51477.000000 32233.000000 67179.000000 41256.000000 25923.000000 8415.000000 5213.000000 3201.000000 6491.000000 4079.000000 2412.000000 1626.000000 929.000000 697.000000
$500-$999 24960.000000 16379.000000 8581.000000 18853.000000 12468.000000 6385.000000 3616.000000 2309.000000 1307.000000 2292.000000 1536.000000 757.000000 198.000000 66.000000 132.000000
$1,000-$1,499 51491.000000 38026.000000 13465.000000 37655.000000 27788.000000 9867.000000 8709.000000 6696.000000 2013.000000 4652.000000 3228.000000 1425.000000 475.000000 315.000000 160.000000
$1,500-$1,999 59859.000000 47086.000000 12773.000000 43204.000000 33696.000000 9508.000000 11114.000000 9195.000000 1919.000000 5048.000000 3862.000000 1186.000000 493.000000 333.000000 160.000000
$2,000-$2,499 62805.000000 50567.000000 12238.000000 46015.000000 36574.000000 9441.000000 11297.000000 9586.000000 1711.000000 4992.000000 4028.000000 963.000000 501.000000 379.000000 123.000000
$2,500-$2,999 58158.000000 47365.000000 10793.000000 41571.000000 33191.000000 8379.000000 10791.000000 9403.000000 1388.000000 5249.000000 4330.000000 919.000000 547.000000 441.000000 106.000000
$3,000-$3,499 60121.000000 50684.000000 9437.000000 44948.000000 37327.000000 7621.000000 9543.000000 8677.000000 866.000000 5024.000000 4202.000000 822.000000 606.000000 477.000000 129.000000
$3,500-$3,999 55201.000000 46797.000000 8405.000000 41383.000000 34416.000000 6967.000000 8835.000000 8011.000000 825.000000 4564.000000 4028.000000 536.000000 419.000000 342.000000 77.000000
$4,000-$4,499 49486.000000 42397.000000 7090.000000 37735.000000 31792.000000 5943.000000 7143.000000 6529.000000 614.000000 4058.000000 3619.000000 440.000000 551.000000 457.000000 93.000000
$4,500-$4,999 43952.000000 37843.000000 6108.000000 33598.000000 28464.000000 5135.000000 6118.000000 5608.000000 510.000000 3697.000000 3300.000000 397.000000 538.000000 472.000000 67.000000
$5,000-$5,999 76019.000000 65967.000000 10053.000000 60067.000000 51545.000000 8523.000000 8511.000000 7845.000000 666.000000 6557.000000 5805.000000 752.000000 884.000000 772.000000 112.000000
$6,000-$6,999 61194.000000 53413.000000 7781.000000 50050.000000 43390.000000 6660.000000 5490.000000 4957.000000 533.000000 4838.000000 4375.000000 463.000000 816.000000 690.000000 125.000000
$7,000-$7,999 46873.000000 41420.000000 5453.000000 39410.000000 34691.000000 4719.000000 3438.000000 3125.000000 312.000000 3383.000000 3046.000000 338.000000 642.000000 558.000000 84.000000
$8,000-$8,999 36272.000000 32287.000000 3984.000000 31080.000000 27512.000000 3567.000000 2000.000000 1816.000000 184.000000 2637.000000 2464.000000 173.000000 555.000000 495.000000 60.000000
$9,000-$9,999 28275.000000 25283.000000 2992.000000 24551.000000 21897.000000 2654.000000 1287.000000 1166.000000 120.000000 1898.000000 1755.000000 144.000000 540.000000 466.000000 74.000000
$10,000 & Over 116713.000000 106561.000000 10152.000000 103549.000000 94232.000000 9318.000000 2328.000000 2116.000000 212.000000 7552.000000 7138.000000 415.000000 3284.000000 3076.000000 208.000000

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Chinese) Total Numeric No
(Chinese) Males Numeric No
(Chinese) Females Numeric No
(Malays) Total Numeric No
(Malays) Males Numeric No
(Malays) Females Numeric No
(Indians) Total Numeric No
(Indians) Males Numeric No
(Indians) Females Numeric No
(Others) Total Numeric No
(Others) Males Numeric No
(Others) Females Numeric No