MFT raw data
What this data shows
Published by Ministry of Culture, Community and Youth. 2,007 records. Fields include Respondent serial, Respondent id, Country, Yearbornin 1 slice (101 columns in total). Covers 2021-04-01 to 2021-07-30. Last updated 2024-06-06.
Description
Ministry of Culture, Community and Youth CSV of MFT survey raw data from April through July 2021, with respondent identifiers, country, birth-year, age, and related fields. Researchers should consult the separate MFT variable description for column meanings when analysing this Singapore community survey microdata.
Official description
Please refer to MFT variable description for column header descriptions.
- Last updated
- Coverage
- 2021-04-01 – 2021-07-30
- Rows
- 2,007
- Columns
- 101
Chart
Values are summed where multiple rows share the same category.
Compare with another dataset →Data
| Respondent serial | Respondent id | Country | Yearbornin 1 slice | Yearbornin 1 slice1 | Ageofrespondent | Indicateage | Gender | Occstatus | Levelsch | Highestlevel | Unisch |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1184.000000 | GEN24_ 2833 | Singapore | 1961 | 60.000000 | 60.000000 | 55-64 years old | Female | Housewife / homemaker | - | Secondary school | - |
| 730.000000 | GEN24_.2328. | Singapore | 1951 | 70.000000 | 70.000000 | 65 years old and above | Female | Employee (working full-time in private sector) | - | Secondary school | - |
| 15.000000 | GEN24_1001 | Singapore | 1983 | 38.000000 | 38.000000 | 35-44 years old | Male | Employee (working full-time in private sector) | - | University postgraduate (e.g. MA, MSc., MBA, PhD) | - |
| 18.000000 | GEN24_1002 | Singapore | 1955 | 66.000000 | 66.000000 | 65 years old and above | Male | Retiree | - | None or Primary school | - |
| 23.000000 | GEN24_1003 | Singapore | 1965 | 56.000000 | 56.000000 | 55-64 years old | Female | Housewife / homemaker | - | None or Primary school | - |
| 24.000000 | GEN24_1004 | Singapore | 1981 | 40.000000 | 40.000000 | 35-44 years old | Male | Employee (working full-time in private sector) | - | University postgraduate (e.g. MA, MSc., MBA, PhD) | - |
| 30.000000 | GEN24_1005 | Singapore | 1971 | 50.000000 | 50.000000 | 45-54 years old | Female | Employee (working part-time/casual) | - | Secondary school | - |
| 146.000000 | GEN24_1006 | Singapore | 1974 | 47.000000 | 47.000000 | 45-54 years old | Male | Employee (working full-time in private sector) | - | Secondary school | - |
| 148.000000 | GEN24_1007 | Singapore | 1955 | 66.000000 | 66.000000 | 65 years old and above | Female | Housewife / homemaker | - | None or Primary school | - |
| 152.000000 | GEN24_1008 | Singapore | 1957 | 64.000000 | 64.000000 | 55-64 years old | Female | Employee (working full-time in private sector) | - | None or Primary school | - |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Respondent serial | Numeric | No |
| Respondent id | Text | No |
| Country | Text | No |
| Yearbornin 1 slice | Year (YYYY) | No |
| Yearbornin 1 slice1 | Numeric | No |
| Ageofrespondent | Numeric | No |
| Indicateage | Text | No |
| Gender | Text | No |
| Occstatus | Text | No |
| Levelsch | Text | No |
| Highestlevel | Text | No |
| Unisch | Text | No |
| Postgradsch | Text | No |
| Occupationindustry | Text | No |
| Occupation2 | Text | No |
| Whichauthority | Text | No |
| Rankmostimptchild 1 | Numeric | No |
| Rankmostimptchild 2 | Numeric | No |
| Rankmostimptchild 3 | Numeric | No |
| Livinginsg 1 slice | Text | No |
| Livinginsg 2 slice | Text | No |
| Livinginsg 3 slice | Text | No |
| Livinginsg 4 slice | Text | No |
| Vbc | Text | No |
| Sliderliberty 1 slice | Numeric | No |
| Maritialstatus | Text | No |
| Children | Text | No |
| Noofchildren | Text | No |
| Childage | Text | No |
| Personalincome | Text | No |
| Hhi | Text | No |
| Socialnetwork 1 slice | Text | No |
| Socialnetwork 2 slice | Text | No |
| Socialnetwork 3 slice | Text | No |
| Socialnetwork 4 slice | Text | No |
| Socialnetwork 5 slice | Text | No |
| Socialnetwork 6 slice | Text | No |
| Socialnetwork dp01 | Text | No |
| Socialnetwork dp02 | Text | No |
| Socialnetwork dp03 | Text | No |
| Socialnetwork dp04 | Text | No |
| Socialnetwork dp05 | Text | No |
| Socialnetwork dp06 | Text | No |
| Socialnetwork dp07 | Text | No |
| Socialnetwork dp08 | Text | No |
| Socialnetwork dp09 | Text | No |
| Socialnetwork dp10 | Text | No |
| Q20 q211 | Text | No |
| Q20 q212 | Text | No |
| Q20 q213 | Text | No |
| Q20 q214 | Text | No |
| Ban age | Text | No |
| Ban gender | Text | No |
| Ban personal inc | Text | No |
| Ban mhi | Text | No |
| Ban q18 q191 | Text | No |
| Ban q18 q192 | Text | No |
| Ban q18 q193 | Text | No |
| Ban q18 q194 | Text | No |
| Ban education1 | Text | No |
Showing the first 60 of 101 columns. Download the CSV for the full schema.