As of May 2024, a total of *** million Indian migrants were estimated to live in the United States of America, followed by over ***** million in the United Arab Emirates (UAE). India has over ** million overseas Indians living across the world.

In 2023, India witnessed a negative net migration of 486 thousand people. Fluctuations in the migrant population was seen over the years from 2016 onward in the country. A negative net migration rate indicates that more people are leaving a region than are moving in.

In financial year 2023, it is estimated that almost 93 thousand more Indians migrated to Australia than emigrated, This marked the highest net overseas migration from India within the measured period.

This dataset contains the year and country wise number of Indian students travelled abroad for higher education as per information provided by the Bureau of Immigration (BoI)

As of 2024, there were a total of over *** million Indians living in the USA. Out of this population, over *** million belonged to Persons of Indian origin category.

Indian Students Abroad

Country-wise Statistics

By Harish Kumar Garg [source]

About this dataset

This dataset is about the number of Indian students studying abroad in different countries and the detailed information about different nations where Indian students are present. The data has been complied from the Ministry Of External Affairs to answer a question from the Member of Parliament regarding how many students from India are studying in foreign countries and which country. This dataset includes two fields, Country Name and Number of Indians Studying Abroad as of Mar 2017, giving a unique opportunity to track student mobility across various nations around the world. With this valuable data about student mobility, we can gain insights into how educational opportunities for Indian students have increased over time as well as look at trends in international education throughout different regions. From comparison among countries with similar academic opportunities to tracking regional popularity among study destinations, this dataset provides important context for studying student migration patterns. We invite everyone to explore this data further and use it to draw meaningful conclusions!

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How to use the dataset

How to use this dataset?

The data has two columns – Country Name and Number of Indians studying there as of March 2017. It also includes a third column, Percentage, which gives an indication about the proportion of Indian students enrolled in each country relative to total number enrolled abroad globally.

To get started with your exploration, you can visualize the data against various parameters like geographical region or language speaking as it may provide more clarity about motives/reasons behind student’s choice. You can also group countries on basis of research opportunities available, cost consideration etc.,to understand deeper into all aspects that motivate Indians to explore further studies outside India.

Additionally you can use this dataset for benchmarking purpose with other regional / international peer groups or aggregate regional / global reports with aim towards making better decisions or policies aiming greater outreach & support while targeting foreign universities/colleges for educational promotion activities that highlights engaging elements aimed at attracting more potential students from India aspiring higher international education experience abroad!

Research Ideas

• Using this dataset, educational institutions in India can set up international exchange programs with universities in other countries to facilitate and support Indian students studying abroad.

• Higher Education Institutions can also understand the current trend of Indian students sourcing for opportunities to study abroad and use this data to build specialized short-term courses in collaboration with universities from different countries that cater to the needs of students who are interested in moving abroad permanently or even temporarily for higher studies.

• Policy makers could use this data to assess the current trends and develop policies that aim at incentivizing international exposure among young professionals by commissioning fellowships or scholarships with an aim of exposing them to different problem sets around the world thereby making their profile more attractive while they look for better job opportunities globally

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: final_data.csv | Column name | Description | |:--------------------------|:-------------------------------------------------------------------------------------------------------------------------------| | Country | Name of the country where Indian students are studying. (String) | | No of Indian Students | Number of Indian students studying in the country. (Integer) | | Percentage | Percentage of Indian students studying in the country compared to the total number of Indian students studying abroad. (Float) |

Acknowledgements

If you use this dataset in your research, please credit ...

India saw nearly **** million people emigrating out of the country in 2020. On the other hand, about *** million people immigrated into the country that year. Emigration from India grew significantly in the last few decades.

Abstract

An all-India survey on the situation of employment and uemployment and migration particulars in India was carried out during NSS 64th round (July, 2007 to June, 2008). In this survey, a nation-wide enquiry was conducted in a moderately large sample of households to provide estimates on various characteristics pertaining to employment and unemployment and migration particulars in India and some characteristics associated with them at the national and state levels. Information on various facets of employment and unemployment and migration in India were collected through a schedule of enquiry (Schedule 10.2).

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir (for central sample), (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Household

Universe

All households of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir (for central sample), (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Kind of data

Sample survey data [ssd]

Sampling procedure

A stratified multi-stage design was adopted for the 64th round survey. The first stage units (FSU) were the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. However, for the newly declared towns and out growths (OGs) in Census 2001 for which UFS were not done, each individual town/ OG were considered as an FSU. The ultimate stage units (USU) were the households in both the sectors. In case of large FSUs, i.e. villages/ towns/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage was the selection of two hgs/ sbs from each FSU. Details of the sample design and estimation procedure is given as a document in external resource .

Sampling deviation

There was no deviation from the original sample deviation.

Mode of data collection

Face-to-face [f2f]

Research instrument

Summary description of the schedule : The schedule 10 on employment-unemployment for NSS60th round consisted of 10 blocks as given below.

Block 0: Descriptive identification of sample household Block 1: Identification of sample household Block 2: Particulars of field operations Block 3 - Household Characteristics. Block 3.1 :particulars of out-migrants who migrated out any time in the past Block 4: demographic and usual activity particulars of household members Block 5: Time disposition of members during the week ended on ........... Block 6: Migration particulars of household members Block 7: Household consumer expenditure Block 8: Remarks by investigator Block 9: Comments by superintendent / senior superintendent Block 10: Comments by other supervisory officer(s)

Response rate

At the all-India level, 12,688 FSUs (7,984 villages and 4,704 urban blocks) was allocated for survey. Out of these 12,688 FSUs allotted for survey, 12,589 FSUs could be surveyed – 7,921 in rural and 4,668 in urban. A sample of 10 households was planned for survey from each selected village and urban block.The survey covered a sample of 1,25,578 households (79,091 in rural areas and 46,487 in urban areas) and a sample of 5,72,254 persons (3,74,294 in rural areas and 1,97,960 in urban areas).

Census: Number of Migrants: Punjab data was reported at 13,735,616.000 Person in 03-01-2011. This records an increase from the previous number of 9,189,438.000 Person for 03-01-2001. Census: Number of Migrants: Punjab data is updated decadal, averaging 9,189,438.000 Person from Mar 1991 (Median) to 03-01-2011, with 3 observations. The data reached an all-time high of 13,735,616.000 Person in 03-01-2011 and a record low of 6,960,431.000 Person in 03-01-1991. Census: Number of Migrants: Punjab data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAG001: Census of India: Migration: Number of Migrants: by States.

Migrants = number of immigrants (Θ times M). Group A = sites in Kenya and Tanzania, B = sites in the Mozambique channel, C = sites on the ECM, D = site 12–14, E = Seychelles.

Background: Australia has a high proportion of migrants with an increasing migration rate from India. Type II diabetes is a long-term condition common amongst the Indian population.Aims: To investigate patients’ medication-taking behaviour and factors that influence adherence at the three phases of adherence.Methods: Semi-structured interviews were conducted with a convenience sample of 23 Indian migrants living in Sydney. All interviews were audio-recorded, transcribed verbatim and thematically analysed.Results: 1) Initiation: The majority of participants were initially prescribed oral antidiabetic medicine and only two were started on insulin. Most started taking their medicine immediately while some delayed initiating therapy due to fear of side-effects. 2) Implementation: Most participants reported taking their medicine as prescribed. However, some reported forgetting their medicine especially when they were in a hurry for work or were out for social events. 3) Discontinuation: A few participants discontinued taking their medicine. Those who discontinued did so to try Ayurvedic medicine. Their trial continued for a few weeks to a few years. Those who did not receive expected results from the Ayurvedic medicine restarted their prescribed conventional medicine.Conclusion: A range of medication-taking behaviours were observed, ranging from delays in initiation to long-term discontinuation, and swapping of prescribed medicine with Ayurvedic medicine. This study highlights the need for tailored interventions, including education, that focus on factors that impact medication adherence from initiation to discontinuation of therapy.

Θi (diagonal) and the number of migrants from regional grouping i to j per generation, followed by the migration rates in brackets. Top numbers are the results for the asymmetrical model M3, bottom numbers for the full exchange model M1.

As of 2024, over ** million Indians were living across the world. Of this population, over ** million were non-resident Indians (NRIs) and the rest were persons of Indian origin (PIO). Indians form the largest diaspora in the world.  Non-Resident Indians An NRI is an Indian citizen living abroad indefinitely for employment, education, business, or other reasons. If an individual spends less than *** days in a financial year in India, they qualify as an NRI. NRIs can vote in India if they are physically present in their constituency during the voting period. However, NRIs are subject to different tax and investment regulations than Indian citizens. Persons of Indian Origin Persons of Indian origin refer to people who at some point held Indian citizenship or have Indian ancestry, with some exceptions. The Overseas Citizenship of India (OCI) is granted as a lifelong and multipurpose visa to people of Indian origin. It does not confer political rights, but those with this visa enjoy parity with NRIs in economic, financial, and educational benefits such as the acquisition of property (with exceptions), admission to educational institutions, and eligibility for certain housing schemes.

Bayesian estimates of migration rates among populations of Amphiprion akallopisos using the software Migrate.

The migration rate within India between 2020 and 2021 was almost ** percent. This means, between July 2020 and June 2021, about **** percent of the population in the rural areas of the country were migrants, while this was about ** percent for the population in urban areas. During the same time period, there was a much higher share of migrants among females than males in the country.

About this dataset

Context

The dataset tabulates the Indian Trail population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Indian Trail. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 26,230 (63.75% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Indian Trail population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Indian Trail is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Indian Trail is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Trail Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Indian Head Park population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Indian Head Park. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,998 (49.68% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Indian Head Park population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Indian Head Park is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Indian Head Park is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Head Park Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Indian Head population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Indian Head. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 2,669 (67.03% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Indian Head population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Indian Head is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Indian Head is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Head Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Indian River Shores population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Indian River Shores. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 65 years and above with a poulation of 3,065 (72.68% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Indian River Shores population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Indian River Shores is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Indian River Shores is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian River Shores Population by Age. You can refer the same here

Percentage distribution of anthropometric indicators among Men (n = 3,698) and Women (n = 2,659) according to milk/milk product consumption and other selected characteristics, Indian Migration Study, 2006.