Ministry of Manpower CSV counts of Singapore residents outside the labour force by highest qualification attained, age, and sex for June reference months from 1991 through 2025. Gaps in 1995, 2000, and 2005 reflect census and General Household Survey years. Labour-market analysts profile who stays out of the workforce across education and demographic groups.
Annual end-June resident labour force aged 15 and over by highest qualification attained and sex, compiled by the Ministry of Manpower from 1997 onward. The Singapore Department of Statistics CSV supports workforce upskilling trends, gender disparities in education, and comparisons adjusted for revised population benchmarks.
Ministry of Manpower CSV counts of Singapore residents aged 15 and over outside the labour force by marital status, age, and sex for June reference months from 1991 through 2025. Gaps in 1995, 2000, and 2005 reflect census and General Household Survey years. Analysts profile non-participation across marital and demographic groups.
Annual end-of-period motor vehicle population in Singapore by vehicle type from 1961 through 2025, sourced from the Land Transport Authority via SingStat. Series include vehicles exempt from the Vehicle Quota System and other taxes. Transport planners track fleet composition across cars, goods vehicles, and other categories over six decades. Adapted from SingStat TableBuilder TS/M650391.
General Household Survey 2015 resident population by planning area or subzone, ethnic group, and sex. The Singapore Department of Statistics CSV supports fine-grained demographic mapping aligned to URA Master Plan 2014 boundaries. Adapted from SingStat TableBuilder CT/8185.
Census 2000 table on ever-married female residents aged 15 and over by age group, age at first marriage, and ethnic group. Family sociology researchers analyse marriage timing differences across Chinese, Malay, Indian, and other communities in Singapore.
This Census 2010 table reports Singapore resident households by living arrangement and the highest qualification attained by the household head. Education categories range from no qualification and primary schooling through secondary, post-secondary, polytechnic, professional diplomas and university education. Excluding heads who were students, the dataset supports analysis of household structure and educational attainment, including how the qualification profile of household heads differs across living arrangements.
Annual end-of-period car population in Singapore by engine capacity (CC) rating band, compiled by the Singapore Department of Statistics from Land Transport Authority data from 1986 onward. Excludes taxis and tax-exempt vehicles per footnotes. Transport and environmental analysts study fleet composition, ownership trends, and vehicle taxation categories.
Land Transport Authority CSV of Singapore’s total off-peak car population from January 2013 through February 2018. Off-peak cars (OPC) include Weekend Cars (WEC) and Revised OPCs (ROPC). Columns cover month and vehicle count. Transport planners track how the OPC scheme’s registered fleet changed before later vehicle policy updates (series M061).
Housing & Development Board CSV on economically active HDB resident population by flat type for survey years covering 2008 through 2018. Columns include SHS year, flat type, economically active status, and number of persons. Housing and labour analysts link HDB dwelling size to labour-force participation among public-housing residents.
General Household Survey 2015 table of Singapore residents aged 15 and over by language literate in, age group, sex, and ethnic group, in thousands. Language and education researchers profile bilingual and multilingual literacy across age and ethnicity. Adapted from SingStat TableBuilder CT/8209.
Land Transport Authority CSV of Singapore motor vehicle population by vehicle category and fuel type from January 2016 through January 2020. Columns cover month, vehicle category, fuel type, and number; tax-exempt and off-the-road (RU plate) vehicles are excluded. Clean-mobility analysts track petrol, diesel, electric, and hybrid fleet mix (series M09).
Land Transport Authority CSV of Singapore's annual bus population by passenger capacity from 2005 through 2017. Columns cover year, passenger-capacity band, and the number of buses in each band; figures exclude tax-exempted buses. Transport planners and mobility researchers track how the composition of the bus fleet by carrying capacity changed over the period.
Annual mid-year counts of employed Singapore residents aged 15 and over by industry and age group from 2000 through 2025 from Ministry of Manpower Labour Force Survey series (with Census 2000 and GHS 2005 benchmarks). Labour economists analyse industry ageing and employment structure. Adapted via SingStat TableBuilder.
General Household Survey 2005 CSV of Singapore resident population counts by age group, ethnic group (Chinese, Malays, Indians, Others), and sex. Published by the Singapore Department of Statistics for demographic benchmarking against later census and GHS releases. Adapted from SingStat Table Builder CT/8680.
This 2010 Census dataset counts Singapore resident households by monthly household income from work per household member. Results are cross-tabulated by the ethnic group and sex of the household head, with totals for Chinese, Malay, Indian, and other households. It is useful for examining household income distribution and demographic differences in Singapore at the census benchmark, noting that income coverage was subsequently updated to include employers’ Additional MediSave Contributions.
Housing & Development Board CSV of the employed HDB resident population by occupation and age from 2013 through 2018, drawn from its Sample Household Survey. Columns cover survey year, age, occupation, and percentage share. Employed persons are those aged 15 and over who worked or had a job to return to; SAF members including full-time National Servicemen are included. Housing and labour researchers study the occupational profile of working HDB residents.
This Singapore open-data dataset examines residents aged 65 and over who lived in resident households during the 2005 General Household Survey. The records are organized across three key demographic dimensions: living arrangements, ethnic group and sex, providing a structured basis for studying how older residents lived within Singapore households and how these patterns varied among population groups. The metadata supports a Singapore-wide context and a 2005 survey-period view; it does not indicate a subnational geographic breakdown. Living-arrangement categories reflect whether a spouse and/or children were present in the same household, including children-in-law, and also account for the children’s labour force status. Researchers should note that elderly residents who had been overseas for six months or more are excluded. The dataset is relevant to research on ageing in Singapore, household composition, family support, intergenerational living, ethnic and gender differences among older residents, and historical social-policy analysis. Typical search and research intents include finding 2005 Singapore elderly living-arrangement statistics, comparing older residents by ethnic group or sex, examining household-based ageing indicators, and locating official SingStat data for demographic or social research. The dataset was updated in June 2026 to refine the identification of children-in-law, while its stated update frequency is 10 years.
Resident married-couple households from the 2020 Census are classified by monthly household income from work and the husband’s age group. SingStat’s CSV reports counts across income bands and age brackets, reflecting updated income concepts including employer MediSave contributions where applicable. Useful for family economics, housing affordability studies, and Singapore census household income research.
Sport Singapore CSV of overall sport and exercise participation levels among Singapore residents aged 13 and above from 2019 through 2025, with each year split into regular, irregular, inactive and non-participant shares. Data come from the National Sport & Exercise Participation Survey (NSPS), collected continuously through the year with annual samples of at least 4,500 and weighted to reflect the population. Regular means at least once a week in a month, while irregular means less than once a week. Sport administrators and public-health analysts use it to track activity trends.