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.

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.

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.

Historical dataset showing India immigration statistics by year from 1960 to 2015.

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.

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.

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.

This statistic shows the number of unauthorized Indian immigrants in the United States from 1990 to 2014. As of 2014, around 500,000 unauthorized immigrants in the United States were from India.

Data on the immigrant population by place of birth, period of immigration, gender and age for the population in private households in Canada.

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)

Georgia Immigrants: India data was reported at 3,015.000 Person in 2018. This records an increase from the previous number of 2,686.000 Person for 2017. Georgia Immigrants: India data is updated yearly, averaging 1,215.000 Person from Dec 2012 (Median) to 2018, with 7 observations. The data reached an all-time high of 3,015.000 Person in 2018 and a record low of 679.000 Person in 2014. Georgia Immigrants: India data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G002: Migration.

This table contains 25 series, with data for years 1955 - 2013 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Last permanent residence (25 items: Total immigrants; France; Great Britain; Total Europe ...).

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 ...

Abstract

The Migration Cost Surveys (MCS) project is a joint initiative of the Global Knowledge Partnership on Migration and Development (KNOMAD) and the International Labor Organization (ILO). The project was initiated to support methodological work on developing a new Sustainable Development Goal (SDG) indicator (10.7.1) on worker-paid recruitment costs. The surveys of migrant workers conducted in multiple bilateral corridors between 2015 and 2017 provide new systematic evidence of financial and some non-financial costs incurred by workers to obtain jobs abroad. The compiled dataset is divided into two waves (2015 and 2016) based on the questionnaire version used in the surveys.

Geographic coverage

Multinational coverage: - Ethiopia - India - Nepal - Pakistan - Philippines - Vietnam - Guatemala - Honduras - El Salvador

Analysis unit

KNOMAD-ILO Migration Costs Surveys (KNOMAD-ILO MCS) have the following unit of analysis: individuals

Universe

Surveys of migrants from the following corridors are included:

• Ethiopia to Saudi Arabia • India to Qatar • Nepal to Qatar • Pakistan to Saudi Arabia and United Arab Emirates • Philippines to Qatar • Vietnam to Malaysia • Guatemala, Honduras and El-Salvador to Mexico

Kind of data

Sample survey data [ssd]

Sampling procedure

All surveys conducted for this project used either convenience or snowball sampling. Sample enrollment was restricted to migrants primarily employed in low-skilled positions, who departed to the destination country, typically no more than 5 years prior to the interview year. All but two surveys using the 2015 questionnaire were conducted in the country of origin by interviewing returning migrants.The exceptions were the surveys of Vietnamese migrants in Malaysia and migrants from Guatemala, Honduras and El-Salvador in Mexico, which were administered in the destination countries (Malaysia and Mexico, respectively). Their customized questionnaires are worded in present tense when it comes to various aspect of stay in the destination country. The content of the variables remains analogous to the surveys of returnees. Please refer to Annex Table 1 of the 2015 KNOMAD-ILO MCS User Guide for a summary description of the included samples in the 2015 KNOMAD-ILO MCS dataset.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The 2015 KNOMAD-ILO Migration Costs Surveys consists of 6 survey modules:

A. Respondent Information B. Information on costs for current job C. Borrowing money for the foreign job D. Job search efforts and opportunity costs E. Work in foreign country F. Job environment

Sampling error estimates

n/a

Data appraisal

n/a

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).

Abstract

The Migration Cost Surveys (MCS) project is a joint initiative of the Global Knowledge Partnership on Migration and Development (KNOMAD) and the International Labor Organization (ILO). The project was initiated to support methodological work on developing a new Sustainable Development Goal (SDG) indicator (10.7.1) on worker-paid recruitment costs. The surveys of migrant workers conducted in multiple bilateral corridors between 2015 and 2017 provide new systematic evidence of financial and some non-financial costs incurred by workers to obtain jobs abroad. The compiled dataset is divided into two waves (2015 and 2016) based on the questionnaire version used in the surveys. This document describes surveys conducted using the 2016 version of the MCS questionnaire.

Geographic coverage

Multinational coverage - India - Philippines - Nepal - Uzbekistan - Kyrgyz Republic - Tajikistan - Countries in Western Africa

Analysis unit

KNOMAD-ILO Migration Costs Surveys (KNOMAD-ILO MCS) have the following unit of analysis: individuals

Universe

Surveys of migrants from the following corridors are included: • India-Saudi Arabia • Philippines to Saudi Arabia • Nepal to Malaysia, Qatar and Saudi Arabia • Kyrgyzstan, Tajikistan, Uzbekistan to Russia • West African countries to Italy

Kind of data

Sample survey data [ssd]

Sampling procedure

All surveys conducted for this project used either convenience or snowball sampling. Sample enrollment was restricted to migrants primarily employed in low-skilled positions. There is variation in terms of when migrants were interviewed in their migration life-cycle. Two surveys of recruited workers - that is workers who are recruited in their home countries for jobs abroad - namely Filipinos and Indians to Saudi Arabia, were conducted with migrants returning to their origin countries (for visits or permanently). The surveys of non-recruited migrants - Central Asian migrants to Russia and West African migrants to Italy - were administered in the destination countries, which permitted multiple bilateral migration channels to be documented (at cost of smaller sample sizes in some corridors, particularly with Italy as destination). The survey instruments for non-recruited migrants were worded in present tense for various aspect of stay in the destination country. The content of the variables remains analogous to the surveys of returnees. Finally, the survey of Nepalese migrants was conducted with migrants who were departing to their destination countries within a two-week period. Please refer to Annex Table 1 of the 2016 KNOMAD_ILO MCS Guide for a summary description of the samples included in the 2016 KNOMAD-ILO MCS dataset.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The 2016 KNOMAD-ILO Migration Costs Surveys consists of 7 survey modules: A. Respondent information B. Information on costs for current job C. Borrowing money for the foreign job D. Job search efforts and opportunity costs E. Work in foreign country F. Job environment G. Current status and contact information

Sampling error estimates

n/a

Data appraisal

n/a

Census: Number of Migrants: Maharashtra data was reported at 57,376,776.000 Person in 03-01-2011. This records an increase from the previous number of 41,715,711.000 Person for 03-01-2001. Census: Number of Migrants: Maharashtra data is updated decadal, averaging 41,715,711.000 Person from Mar 1991 (Median) to 03-01-2011, with 3 observations. The data reached an all-time high of 57,376,776.000 Person in 03-01-2011 and a record low of 25,462,420.000 Person in 03-01-1991. Census: Number of Migrants: Maharashtra 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.

According to a 2020 survey, ** percent of Indian immigrants to the United States reported having a green card. Additionally, around ** percent of survey participants said they were in the United States with a H-1B visa, which is granted for work related immigration.

In the year 2022, *** thousand people were estimated to have migrated to Delhi. This was a decrease from 2021. Migration contributed more to Delhi's population growth than the number of births, standing at *** thousand.

In total, France welcomed nearly ****** Indian immigrants on its territory in 2019. Taking a closer look at the numbers, the most represented age group of Indians in France were aged 25 to 54 years. There were around ***** thousand Indian children in France and more than ***** 15 to 24 year olds in 2019.