UK International Migration by Kaggle | Demographics and Population Studies

About this Dataset

UK International Migration

Trends and Patterns within the UK

By data.world's Admin [source]

About this dataset

This dataset contains invaluable insight into the long-term international migration patterns occurring in the United Kingdom. This dataset includes two key indicators: NATIONAL INSURANCE NUMBER (NINo) REGISTRATIONS and NEW MIGRANT GP REGISTRATIONS. NINo registrations measure the number of registrations of National Insurance Numbers to foreign nationals living in the UK, while migrant GP registrations provide a measure of new migrants registering with a general practitioner in the UK. This data provides invaluable information to help analyze new migration trends and understand how they impact different aspects of life within the United Kingdom.

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How to use the dataset

This dataset provides information on the long-term international migration to the UK. It contains data on two indicators, National Insurance Numbers registrations and new migrant GP registrations. It gives insights into how many people have moved to the UK from other countries as well as how they are settling down in terms of health care.

Research Ideas

Analyzing the community health needs of newly arrived migrants by using the New Migrant GP Registrations to identify areas with higher concentrations of new immigrants and provide resources accordingly.

Examining trends in National Insurance Number (NINo) registrations for overseas nationals to determine changes in foreign migration over time.

Establishing policies and procedures for governments seeking to track individuals entering or leaving their countries by cross-referencing both NINo registration data, as well as New Migrant GP Registration data, from different countries over a certain period

Acknowledgements

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

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: national-insurance-numbers-issued-to-overseas-nationals-6.csv

File: new-migrant-gp-registrations-4.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit data.world's Admin.

Tables

Long Term International Migration Uk And London 7

@kaggle.thedevastator_long_term_international_migration_to_united_king.long_term_international_migration_uk_and_london_7

19.34 KB
148 rows
23 columns


CREATE TABLE long_term_international_migration_uk_and_london_7 (
  "index" BIGINT,
  "long_term_international_migration_ltim" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR,
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  "unnamed_20" VARCHAR,
  "unnamed_21" VARCHAR
);

Ltim Citizenship Uk 3

@kaggle.thedevastator_long_term_international_migration_to_united_king.ltim_citizenship_uk_3

9.04 MB
105 rows
16385 columns


CREATE TABLE ltim_citizenship_uk_3 (
  "index" BIGINT,
  "long_term_international_migration_ltim_citizenship" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
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);

Ltim London La Level 1

@kaggle.thedevastator_long_term_international_migration_to_united_king.ltim_london_la_level_1

23.67 KB
148 rows
17 columns


CREATE TABLE ltim_london_la_level_1 (
  "index" BIGINT,
  "international_migration_local_authority_level" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR,
  "unnamed_6" VARCHAR,
  "unnamed_7" VARCHAR,
  "unnamed_8" VARCHAR,
  "unnamed_9" VARCHAR,
  "unnamed_10" VARCHAR,
  "unnamed_11" VARCHAR,
  "unnamed_12" VARCHAR,
  "unnamed_13" VARCHAR,
  "unnamed_14" VARCHAR,
  "unnamed_15" VARCHAR
);

Ltim Reason Uk 2

@kaggle.thedevastator_long_term_international_migration_to_united_king.ltim_reason_uk_2

18.54 KB
94 rows
22 columns


CREATE TABLE ltim_reason_uk_2 (
  "index" BIGINT,
  "long_term_international_migration_ltim_uk_reason_for_migration" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR,
  "unnamed_6" VARCHAR,
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  "unnamed_16" VARCHAR,
  "unnamed_17" VARCHAR,
  "unnamed_18" VARCHAR,
  "unnamed_19" VARCHAR,
  "unnamed_20" VARCHAR
);

National Insurance Numbers Issued To Overseas Nationals 6

@kaggle.thedevastator_long_term_international_migration_to_united_king.national_insurance_numbers_issued_to_overseas_nationals_6

9.07 MB
100 rows
16385 columns


CREATE TABLE national_insurance_numbers_issued_to_overseas_nationals_6 (
  "index" BIGINT,
  "national_insurance_number_nino_registrations" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
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  "unnamed_97" VARCHAR,
  "unnamed_98" VARCHAR
);

New Migrant Gp Registrations 4

@kaggle.thedevastator_long_term_international_migration_to_united_king.new_migrant_gp_registrations_4

22.02 KB
81 rows
23 columns


CREATE TABLE new_migrant_gp_registrations_4 (
  "index" BIGINT,
  "new_migrant_gp_registrations" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" DOUBLE,
  "unnamed_3" DOUBLE,
  "unnamed_4" DOUBLE,
  "unnamed_5" DOUBLE,
  "unnamed_6" DOUBLE,
  "unnamed_7" DOUBLE,
  "unnamed_8" DOUBLE,
  "unnamed_9" DOUBLE,
  "unnamed_10" DOUBLE,
  "unnamed_11" DOUBLE,
  "unnamed_12" DOUBLE,
  "unnamed_13" DOUBLE,
  "unnamed_14" DOUBLE,
  "unnamed_15" DOUBLE,
  "unnamed_16" DOUBLE,
  "unnamed_17" DOUBLE,
  "unnamed_18" DOUBLE,
  "unnamed_19" VARCHAR,
  "unnamed_20" VARCHAR,
  "unnamed_21" VARCHAR
);

Short Term Migration 5

@kaggle.thedevastator_long_term_international_migration_to_united_king.short_term_migration_5

9.04 MB
80 rows
16385 columns


CREATE TABLE short_term_migration_5 (
  "index" BIGINT,
  "short_term_migration" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" DOUBLE,
  "unnamed_3" DOUBLE,
  "unnamed_4" DOUBLE,
  "unnamed_5" DOUBLE,
  "unnamed_6" DOUBLE,
  "unnamed_7" DOUBLE,
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  "unnamed_9" DOUBLE,
  "unnamed_10" DOUBLE,
  "unnamed_11" VARCHAR,
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  "unnamed_15" VARCHAR,
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);