As of 2025, the population of Indian Singaporeans between the ages of 40 to 44 years stood at approximately ******. Singapore is a multi-ethnic and multi-religious society. Residents are categorized under four different ethnic groups under the CMIO rubric: Chinese, Malay, Indian and Other ethnicities.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_2276c3554f188c542b565cb45be3f1b9/view

As of 2024, there were a total of *** thousand Indians living in Singapore. Out of this population, *** thousand belonged to the Persons of Indian Origin category.

As of June 2025, there were around 3.11 million ethnic Chinese residents in Singapore. Singapore is a multi-ethnic society, with residents categorized into four main racial groups: Chinese, Malay, Indian, and Others. Each resident is assigned a racial category that follows the paternal side. This categorization would have an impact on both official as well as private matters. Modelling a peaceful, multi-ethnic society The racial categorization used in Singapore stemmed from its colonial past and continues to shape its social policies, from public housing quotas along the ethnic composition in the country to education policies pertaining second language, or ‘mother tongue’, instruction. Despite the emphasis on ethnicity and race, Singapore has managed to maintain a peaceful co-existence among its diverse population. Most Singaporeans across ethnic levels view the level of racial and religious harmony there to be moderately high. The level of acceptance and comfort with having people of other ethnicities in their social lives was also relatively high across the different ethnic groups. Are Singaporeans ready to move away from the CMIO model of ethnic classification? In recent times, however, there has been more open discussion on racism and the relevance of the CMIO (Chinese, Malay, Indian, Others) ethnic model for Singaporean society. The global discourse on racism has brought to attention the latent discrimination felt by the minority ethnic groups in Singapore, such as in the workplace. In 2010, Singapore introduced the option of having a ‘double-barreled’ race classification, reflecting the increasingly diverse and complicated ethnic background of its population. More than a decade later, there have been calls to do away from such racial classifications altogether. However, with social identity and policy deeply entrenched along these lines, it would be a challenge to move beyond race in Singapore.

Singapore Population: Mid Year: Residents: Indian Female: 35 to 39 Years data was reported at 17.294 Person th in 2017. This records an increase from the previous number of 17.170 Person th for 2016. Singapore Population: Mid Year: Residents: Indian Female: 35 to 39 Years data is updated yearly, averaging 7.373 Person th from Jun 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17.294 Person th in 2017 and a record low of 2.100 Person th in 1961. Singapore Population: Mid Year: Residents: Indian Female: 35 to 39 Years data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G001: Population: Mid Year.

Singapore Population: Mid Year: Residents: Indians: Female data was reported at 176.032 Person th in 2018. This records an increase from the previous number of 175.003 Person th for 2017. Singapore Population: Mid Year: Residents: Indians: Female data is updated yearly, averaging 84.639 Person th from Jun 1960 (Median) to 2018, with 59 observations. The data reached an all-time high of 176.032 Person th in 2018 and a record low of 45.200 Person th in 1960. Singapore Population: Mid Year: Residents: Indians: Female data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G001: Population: Mid Year.

Singapore Population: Mid Year: Residents: Indian Female: 25 to 29 Years data was reported at 11.834 Person th in 2017. This records an increase from the previous number of 11.651 Person th for 2016. Singapore Population: Mid Year: Residents: Indian Female: 25 to 29 Years data is updated yearly, averaging 9.986 Person th from Jun 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 16.053 Person th in 2009 and a record low of 2.500 Person th in 1969. Singapore Population: Mid Year: Residents: Indian Female: 25 to 29 Years data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G001: Population: Mid Year.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_408e827e8f805aa5408a99c08cb9f12f/view

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_8bf813fa292a229e5390aab94829a75f/view

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_bebe00e6722f9f4f8f783c970346294c/view

Singapore Population: Mid Year: Residents: Indian Female: 0 to 4 Years data was reported at 8.118 Person th in 2018. This records a decrease from the previous number of 8.337 Person th for 2017. Singapore Population: Mid Year: Residents: Indian Female: 0 to 4 Years data is updated yearly, averaging 9.513 Person th from Jun 1960 (Median) to 2018, with 59 observations. The data reached an all-time high of 12.904 Person th in 2009 and a record low of 4.730 Person th in 1980. Singapore Population: Mid Year: Residents: Indian Female: 0 to 4 Years data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G001: Population: Mid Year.

According to a survey on racial and religious harmony in Singapore,**** percent of Indian respondents agreed with the statement that they liked meeting and getting to know people from other ethnic groups than their own. Singapore is a multi-ethnic and multi-religious society, with citizens categorized into four main ethnic groups, known as CMIO: Chinese, Malay, Indian, and Others. Those categorized under the "Others" include Eurasians, Caucasians, Arabs, and Filipinos, among others. Those from an ethnic Chinese background make up the majority of the population in Singapore.

N = number of individuals in the age group; CI = confidence interval.*Any cataract surgery was defined as lens extraction (pseudophakia or aphakia) in either or both eyes.†Age- and gender-adjusted to the Indian adult population from the 2010 Singapore census.§Bilateral cataract surgery was defined as lens extraction (pseudophakia or aphakia) in both eyes.

Singapore Population: Mid Year: Residents: Indian Male: 20 to 24 Years data was reported at 11.163 Person th in 2017. This records an increase from the previous number of 11.125 Person th for 2016. Singapore Population: Mid Year: Residents: Indian Male: 20 to 24 Years data is updated yearly, averaging 8.426 Person th from Jun 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 11.163 Person th in 2017 and a record low of 3.400 Person th in 1966. Singapore Population: Mid Year: Residents: Indian Male: 20 to 24 Years data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G001: Population: Mid Year.

BackgroundHealth of migrants is a major public health challenge faced by governments and policy makers. Asian Indians are among the fastest growing migration groups across Asia and the world, but the impact of migration and acculturation on diabetes and diabetes-related eye complications among Indians living in urban Asia remains unclear. Methodologies/Principal FindingsWe evaluated the influence of migration and acculturation (i.e., migration status and length of residence) on the prevalence of type-2 diabetes mellitus (T2DM) and diabetes-related eye complications (diabetic retinopathy (DR) and cataract), among first-generation (defined as participant born in India with both parents born in India, n = 781) and second-generation (participants born in Singapore with both parents born in India, n = 1,112) Indian immigrants from a population-based study of Adult Indians in Singapore. Diabetes was defined as HbA1c≥6.5%, use of diabetic medication or a physician diagnosis of diabetes. Retinal and lens photographs were graded for the presence of DR and cataract. Compared to first generation immigrants, second generation immigrants had a higher age- and gender-standardized prevalence of T2DM (34.4% versus 29.0%, p

Inspiration

Inspired by another Kaggle user who did a similar project with Indian emigrants (https://www.kaggle.com/rajacsp/indian-migration-history)

Content

Data sourced from World Bank database at https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database. In addition to selecting the decades from 1960-2000, I added a "Total" column and a least squares regression rate column. The original CSV (SG_IMMIGRANTS.csv) is a bit messy and contains a lot of blanks because ... well Singapore is a small country.

For the two limited "melted" versions, I used pandas pd.melt() to restructure the different decades into a new column "Year" with it's corresponding "Total". Only a select few countries with substantial number of total immigrants are included (Bangladesh, China, Indonesia, Pakistan, Thailand, Philippines, India, Malaysia, Vietnam, United Kingdom). Here, the ratio refers to either the ratio of gender to decade's total or the ratio of that decade's total to the country's all-time cumulative total . e.g. Male 1960 CHN Ratio =0.510563203 means males made up 51% of the total Chinese immigrants to SG in 1960 e.g. Total 1960 MYS Ratio = 0.081202409 means 1960 contributed only 8% of the total Malaysian immigrants to SG

Hope this is clear, leave a comment if anything needs clarification!

Thoughts/to-do:

Future version with global database csv, SG emigrants csv For select top origin/destination countries, show a positive-negative bar plot, coloured according to immigration/emigration multiple

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate demographic datasets at 150m grid levels across Asia and MENA. Understand who lives in a catchment, where they work and their spending potential to make informed business decisions.

Singapore Population: Mid Year: Residents: Indian Male: 40 to 44 Years data was reported at 19.183 Person th in 2017. This records a decrease from the previous number of 19.315 Person th for 2016. Singapore Population: Mid Year: Residents: Indian Male: 40 to 44 Years data is updated yearly, averaging 8.800 Person th from Jun 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 19.461 Person th in 2015 and a record low of 3.947 Person th in 1980. Singapore Population: Mid Year: Residents: Indian Male: 40 to 44 Years data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G001: Population: Mid Year.

South Asia possesses a significant amount of genetic diversity due to considerable intergroup differences in culture and language. There have been numerous reports on the genetic structure of Asian Indians, although these have mostly relied on genotyping microarrays or targeted sequencing of the mitochondria and Y chromosomes. Asian Indians in Singapore are primarily descendants of immigrants from Dravidian-language–speaking states in south India, and 38 individuals from the general population underwent deep whole-genome sequencing with a target coverage of 30X as part of the Singapore Sequencing Indian Project (SSIP). The genetic structure and diversity of these samples were compared against samples from the Singapore Sequencing Malay Project and populations in Phase 1 of the 1,000 Genomes Project (1 KGP). SSIP samples exhibited greater intra-population genetic diversity and possessed higher heterozygous-to-homozygous genotype ratio than other Asian populations. When compared against a panel of well-defined Asian Indians, the genetic makeup of the SSIP samples was closely related to South Indians. However, even though the SSIP samples clustered distinctly from the Europeans in the global population structure analysis with autosomal SNPs, eight samples were assigned to mitochondrial haplogroups that were predominantly present in Europeans and possessed higher European admixture than the remaining samples. An analysis of the relative relatedness between SSIP with two archaic hominins (Denisovan, Neanderthal) identified higher ancient admixture in East Asian populations than in SSIP. The data resource for these samples is publicly available and is expected to serve as a valuable complement to the South Asian samples in Phase 3 of 1 KGP.

The Singapore Multi-Ethnic Cohort Phase 1 (MEC1) is a large population-based cohort comprising Chinese, Indian, and Malay participants aged 21 years and older during recruitment. The cohort was formed by combining two existing population-based studies with measurements from 2004 to 2007, the Singapore Prospective Study Program (SP2) and the Singapore Cardiovascular Cohort Study (SCCS2), with additional recruitment of participants from 2007 to 2010. Data has been collected at 3 different time points: baseline, 2004 to 2010 (MEC1_T1); first follow-up, 2011 to 2016 (MEC1_T2); and second follow-up, 2016 to 2021 (MEC1_T3).