4,615 datasets found
Immigration and Checkpoints Authority monthly live births in Singapore from 2022 through late 2024 by father’s ethnic group and child gender, published in CSV. Demographers study birth trends, sex ratios, and ethnic composition of new births among citizen and resident populations.
Immigration and Checkpoints Authority CSV of Singapore live births by mother’s ethnic group, mother’s age group, and child gender for 2022 through 2024. Monthly birth counts support fertility analysis by maternal age and ethnicity and sex-ratio monitoring. Demographers and family-policy researchers use the breakdown for short-run birth trends.
Immigration and Checkpoints Authority CSV of live births in Singapore broken down by month, birth order, mother's ethnic group and mother's age group, with birth counts for 2024. The cross-tabulation supports analysis of fertility patterns across ethnic communities and maternal age bands, and of how many births are first, second or later children. Demographers, health planners and journalists use it to follow monthly birth trends and shifts in the timing and spacing of childbearing.
Monthly live-birth counts in Singapore classified by the mother’s educational qualification, ethnic group, and birth order, published by the Immigration and Checkpoints Authority from 2022 through 2024. The dataset supports fertility demography, maternal education analysis, ethnic birth patterns, and parity studies using official Singapore birth registration statistics.
Immigration and Checkpoints Authority CSV of Singapore live births in 2024 by birth weight band, mother’s age group, child gender, and month. Public-health and demography analysts study birth-weight distributions and maternal age patterns for perinatal monitoring.
Immigration and Checkpoints Authority CSV of still-birth counts in Singapore from January 2022 through December 2024 by month, mother’s race/ethnic group, and child’s gender. Maternal-health analysts examine short-run still-birth patterns by ethnicity and sex of child.
Immigration and Checkpoints Authority CSV of still-birth counts in Singapore from 2022 through 2024 by year, mother’s ethnic group, place of occurrence, attendant at birth, and child’s gender. Maternal and perinatal health researchers analyse still-birth patterns across care settings and demographic groups.
Immigration and Checkpoints Authority table of registered still-births in Singapore for 2022 to 2024, cross-classified by several characteristics. Each row records the year, the mother's age group, the child's birth weight band, the child's gender, the period of gestation, and the count of still-births for that combination. ICA maintains Singapore's births and deaths registry, which makes this an administrative rather than survey source. Public health researchers, obstetricians, and demographers use the breakdown to examine how still-birth counts relate to maternal age, gestational age, and low birth weight over these three years.
Monthly air passenger arrivals in Singapore by region and country of embarkation from 1961 through July 2025, sourced from the Civil Aviation Authority of Singapore and published by SingStat. Series exclude same-flight transit passengers; from January 1989 figures refer to Changi Airport only. Tourism and aviation analysts track inbound passenger flows by origin market. Adapted from SingStat TableBuilder TS/M650051.
Monthly Singapore air cargo discharged at Changi Airport from 1986 through July 2025, compiled by the Singapore Department of Statistics from Civil Aviation Authority of Singapore figures by region and selected countries of origin. Excludes passenger baggage, diplomatic cargo, and aircraft stores. Trade and aviation analysts track inbound air freight flows into Singapore.
Monthly air cargo loaded at Changi Airport by region and selected destination countries from 1986 through July 2025, published by the Singapore Department of Statistics from Civil Aviation Authority of Singapore data. Excludes passenger baggage and diplomatic cargo; country breakdowns may not sum to regional totals. Supports aviation trade and logistics analysis.
Monthly air passenger departures from Singapore by region and country of disembarkation, sourced from the Civil Aviation Authority of Singapore and published in wide-month CSV from 1961 through July 2025. Changi-focused figures from 1989 exclude same-flight transit passengers. Tourism and aviation analysts track outbound travel demand. Adapted from TableBuilder TS/M650041.
Housing & Development Board API of real-time HDB car park availability in Singapore, with coverage from January 2018. Drivers, mobility apps, and town-council systems query lots available across HDB car parks nationwide.
ED Waiting Times is a Singapore open-data dataset focused on waiting times associated with emergency departments (EDs). It may help users locate and analyze information about how long people wait for emergency-department services, while the available catalog note does not specify the exact waiting-time measure, reporting dimensions, date range, geographic coverage, update schedule, or whether the figures represent averages, medians, ranges, or individual observations. Potential uses include public-service research, healthcare access analysis, operational planning, service-performance monitoring, and building search or dashboard experiences around emergency-department wait times in Singapore. Relevant search intents include Singapore emergency department waiting time data, ED wait time statistics, hospital emergency waiting times, healthcare service performance, and open data for emergency-care access. Consult the dataset schema and source metadata before drawing comparisons or conclusions.
Seasonally adjusted quarter-on-quarter growth in Singapore's gross domestic product in chained (2015) dollars, broken down by industry under SSIC 2020, spanning the second quarter of 1975 through the second quarter of 2025. The CSV is laid out as a long time series with one column per quarter and one row per industry series, from manufacturing and construction to the services sectors. Macroeconomists and sector analysts use it to read short-term momentum in the Singapore economy quarter by quarter. Adapted from SingStat TableBuilder TS/M015902.
Drug abuser arrest statistics in Singapore by age group from 2003 through 2024, published by the Central Narcotics Bureau in CSV format with year, status, age group, and count fields. The series supports public health and enforcement research on youth versus adult drug abuse trends, new versus repeat abuser profiles, and longitudinal CNB enforcement outcomes. Useful for drug policy analysis and official Singapore narcotics arrest statistics.
Central Narcotics Bureau CSV of drug abusers arrested in Singapore from 2003 through 2024 by main drug of abuse. Columns cover year, status, drug of abuse, and number of abusers. Enforcement and public-health researchers track how arrest patterns shift across drug types over two decades.
Drug abuser arrest statistics in Singapore by abuser status from 2003 through 2024, published by the Central Narcotics Bureau in CSV format. The dataset distinguishes new versus repeat abusers and supports enforcement outcome monitoring, rehabilitation programme evaluation, and narcotics trend analysis. Complements CNB age and sex breakdown tables for multidimensional drug abuse research in Singapore.
Drug abuser arrest statistics in Singapore by sex from 2003 through 2024, published by the Central Narcotics Bureau in CSV format with status breakdowns. Supports gender-disaggregated narcotics enforcement analysis, public health research, and comparison with age and status CNB tables. Useful for drug policy monitoring and official Singapore drug abuser arrest data discovery.
The Central Narcotics Bureau publishes annual counts of drug abusers arrested in Singapore, broken down by ethnic group and status fields in the CSV. Coverage runs from 2003 through 2024, supporting long-term trend analysis of enforcement outcomes alongside demographic composition. Public health researchers, criminologists, and policymakers can compare year-on-year volumes without inferring prevalence in the general population. Key columns are year, status, ethnic group, and number of drug abusers arrested.