| Type: | Package |
| Title: | Data on Asylum and Resettlement for the UK |
| Version: | 1.1.2 |
| Description: | Data on Asylum and Resettlement for the UK, provided by the Home Office https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables. |
| License: | MIT + file LICENSE |
| URL: | https://github.com/humaniverse/asylum |
| BugReports: | https://github.com/humaniverse/asylum/issues |
| Encoding: | UTF-8 |
| LazyData: | true |
| Depends: | R (≥ 2.10) |
| RoxygenNote: | 7.2.3 |
| NeedsCompilation: | no |
| Packaged: | 2023-12-19 17:01:51 UTC; 040026704 |
| Author: | Matthew Gwynfryn Thomas [cre, aut], Mike Page [aut], British Red Cross [cph] |
| Maintainer: | Matthew Gwynfryn Thomas <matthewgthomas@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2023-12-19 17:50:02 UTC |
Age disputes
Description
Age disputes raised and outcomes of age disputes.
Usage
age_disputes
Format
A data frame with 3,815 rows and 8 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality of people applying
- Region
World region the nation is in
- Raised or resolved
'Raised' or 'Resolved'
- Raised type / Resolved outcome
'Existing asylum application', 'Asylum application raised in quarter', 'Less than 18', or '18+'
- Age disputes
Number of age disputes
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Age of asylum operations
Description
Age of Asylum Operations Initial Decision Work In Progress - applications made from 1st Oct 2006.
Usage
age_of_asylum_operations
Format
A data frame with 28 rows and 8 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Total
Total awaiting initial asylum decision
- Less than 3 months
Number waiting less than three months
- 3-6 months
Number waiting 3-6 months
- 6-12 months
Number waiting 6-12 months
- 12 months+
Number waiting more than a year
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Appeal Representation Rates
Description
Appeal representation rates.
Usage
appeal_representation_rate
Format
A data frame with 45 rows and 7 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- All hearings (%)
All hearings
- First Tier (%)
First tier
- Upper Tier (%)
Upper tier
- Deportation (%)
Deportation
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Asylum appeals determined
Description
Outcomes of asylum appeals raised at the First-Tier Tribunal, by nationality and sex.
Usage
appeals_determined
Format
A data frame with 13,426 rows and 8 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality of people applying
- Region
World region the nation is in
- Outcome
'Allowed', 'Dismissed', or 'Withdrawn'
- Sex
Gender/sex of applicants
- Appeals determined
Number of appeals determined
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Asylum appeals lodged
Description
Asylum appeals raised at the First-Tier Tribunal, by nationality and sex.
Usage
appeals_lodged
Format
A data frame with 7,405 rows and 7 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality of people applying
- Region
World region the nation is in
- Sex
Gender/sex of applicants
- Appeals lodged
Number of appeals lodged
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Non-suspensive appeals
Description
Initial decisions on asylum applications eligible for non-suspensive appeal, by nationality
Usage
appeals_non_suspensive
Format
A data frame with 2,105 rows and 10 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality of people applying
- Region
World region the nation is in
- Initial decisions from designated states
Initial decisions from designated states
- Refusals from designated states
Refusals from designated states
- Clearly unfounded refusals (designated states)
Clearly unfounded refusals (designated states)
- Clearly unfounded refusals (non-designated states)
Clearly unfounded refusals (non-designated states)
- Total eligible for the NSA process
Total eligible for the NSA process
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Asylum applications
Description
Asylum applications raised, by nationality, age, sex, UASC, applicant type, and location of application.
Usage
applications
Format
A data frame with 69,576 rows and 11 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality of people applying
- Region
World region the nation is in
- Age
Age group of applicants
- Sex
Gender/sex of applicants
- Applicant type
'Main applicant' or 'Dependant'
- UASC
Are they an unaccompanied asylum-seeking child?
- Location of application
'At Port' or 'In Country'
- Applications
Number of applications
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Asylum applications processed within 6 months
Description
Percentage of Asylum applications processed within 6 months
Usage
applications_processed_in_6_months
Format
A data frame with 36 rows and 16 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Decisions in
Column just containing a label saying "6 months"
- Total Applications Received
Total applications received
- Of those Applications received the number completed within six months
Number of applications completed
- Of those Applications received the percentage completed within six months
Percent of applications completed
- Total Male Applications Received
Total applications received for males
- Of those Male Applications received the number completed within six months
Number of applications completed for males
- Of those Male Applications received the percentage completed within six months
Percent of applications completed for males
- Total Female Applications Received
Total applications received for females
- Of those Female Applications received the number completed within six months
Number of applications completed for females
- Of those Female Applications received the percentage completed within six months
Percent of applications completed for females
- Total Unknown Applications Received
Total applications received for people whose sex/gender is unknown
- Of those Unknown Applications received the number completed within six months
Number of applications completed for people whose gender/sex is unknown
- Of those Unknown Straightforward Applications received the percentage completed within six months
Percent of applications completed for people whose gender/sex is unknown
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Aspen Cards in use
Description
The number of Aspen Cards in use.
Usage
aspen
Format
A data frame with 17 rows and 4 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Aspen Cards in use
Number of Aspen Cards in use
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Aspen Card-related support
Description
The number of Aspen Card-related support enquiries received by the Home Office, Sodexo and Migrant Help.
Usage
aspen_support
Format
A data frame with 17 rows and 6 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Home Office
NUmber of support enquiries received by the Home Office
- Sodexo
enquiries received by Sodexo
- Migrant Help
enquiries received by Migrant Help
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Breakdown of Asylum costs and productivity
Description
Breakdown of Asylum costs and productivity.
Usage
asylum_costs_and_productivity
Format
A data frame with 13 rows and 12 variables:
- Financial Year
Financial year
- Total Asylum Costs
The costs of managing an asylum operations claim include a) costs associated with deciding a case (screening clients, interviews and issuing a decision), b) managing any related appeal, c) the cost of all asylum operations support (S4, S95 & S98) d) detention costs where detention has been used and e) enforcement costs (escorting and assisted voluntary returns). Also included are the costs of department staff and buildings and the proportionate costs of the Home Office building and managerial costs
- Asylum WIP (new method)
Number of work in progress claims (new method)
- Asylum WIP (old method)
Number of work in progress claims (old method)
- Unit Cost
Unit Costs - This is based on the Work in Progress figure. The costs of an asylum operations case will vary considerably dependent on the type of case (single, dependents) as well as barriers to documentation, legal challenges and logistical and practical challenges
- Total Conclusion
Total conclusions
- Average Conclusions Per Month
Average conclusions per month
- Conclusions Productivity
Conclusions producitivity
- Total Principal Stages Completed
Total principal stages completed
- Average Principal Stages Completed Per Month
Average principal stages completed per month
- Asylum Caseworking Staff
Number of asylum caseworking staff
- Productivity
Productivity of staff
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Breakdown of asylum productivity
Description
Breakdown of asylum productivity by month.
Usage
asylum_productivity_breakdown
Format
A data frame with 45 rows and 6 variables:
- Date
Date
- Initial Decisions
Number of initial decisions made
- Substantive Interviews
Number of substantive interviews completed
- Total Principal Stages Completed
Total number of initial decisions and substantive interviews
- Asylum Caseworking Staff
Number of asylum caseworking staff
- Productivity
Productivity of staff (total principal stages completed divided by asylum caseworking staff)
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Asylum work in progress
Description
Asylum work in progress.
Usage
asylum_work_in_progress
Format
A data frame with 13 rows and 17 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Total Work In Progress
Number of cases that are not concluded at the given point in time
- Awaiting Initial Asylum Decision
Number waiting an initial decision
- Post Decision
The 'Post Decision' sub-category includes cases that have had a decision but have not appealed, are not appeal rights exhausted, and have not been removed
- Asylum Appeal Outstanding
Number with appeals outstanding
- Subject to Removal Action
Number of cases in the work in progress caseload have been processed through the initial stages of the asylum operations system and are now 'subject to removal action'
- On Hold
'On Hold' sub-category includes pre- and post-decision absconders
- Further Leave Application Outstanding
Further Leave applications from former Unaccompanied Asylum Seeking Children given Discretionary Leave
- Case Age: 0:12 Months
Age of the case
- Case Age: 12:24 Months
Age of the case
- Case Age: 24:36 Months
Age of the case
- Case Age: 36+ Months
Age of the case
- Gender: Male
Number of males
- Gender: Female
Number of females
- Gender: Unknown
Number of people whose gender/sex is unknown
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Asylum applications awaiting a decision
Description
Asylum applications awaiting an initial decision or further review, by nationality and applicant type.
Usage
awaiting_decision
Format
A data frame with 32,695 rows and 7 variables:
- Date
Date
- Nationality
Nationality of people awaiting a decision
- Region
World region the nation is in
- Applicant type
'Main applicant' or 'Dependant'
- Application stage
'Pending initial decision' or 'Pending further review'
- Duration
'More than 6 months', '6 months or less', or 'N/A - Further review'
- Applications
Number of applications
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Children entering detention
Description
Number of occurrences of children entering detention, 2010 to 2022
Usage
children_entering_detention
Format
A data frame with 13 rows and 7 variables:
- Date of entry to detention
Date of entry to detention
- Total children
Total children
- Children 4 and under
Children 4 and under
- Children 5 to 11 years
Children 5 to 11 years
- Children 12 to 16 years
Children 12 to 16 years
- Children 17 years
Children 17 years
- Total adults 18 and over
Total adults (18 and over)
...
Source
Asylum claims certified under Section 94
Description
Initial decisions on asylum applications certified under Section 94, by nationality
Usage
claims_certified_section_94
Format
A data frame with 2,222 rows and 10 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Initial decisions from designated states
Initial decisions from designated states
- Refusals from designated states
Refusals from designated states
- Clearly unfounded refusals (designated states)
Clearly unfounded refusals (designated states)
- Clearly unfounded refusals (non-designated states)
Clearly unfounded refusals (non-designated states)
- Total clearly unfounded refusals
Total clearly unfounded refusals
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Decision Quality
Description
The Decision Quality percentage of Decisions Sampled.
Usage
decision_quality
Format
A data frame with 16 rows and 5 variables:
- Financial Year
Financial year
- Assurance
First line or second line assurance
- Decision Quality (%)
Decision Quality percentage
- Number of Decisions Sampled
Number of decisions sampled
- Sample Size (%)
Sample size
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Initial decisions and resettlement
Description
Outcomes of asylum applications at initial decision, and refugees resettled in the UK, by nationality, age, sex, applicant type, and UASC (unaccompanied asylum-seeking children).
Usage
decisions_resettlement
Format
A data frame with 109,265 rows and 14 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality of people applying
- Region
World region the nation is in
- Case type
'Asylum Case' or 'Resettlement Case'
- Case outcome group
'Grant of Other Leave', 'Grant of Protection', 'Refused', or 'Withdrawn'
- Case outcome
Detailed description of the case outcome
- Age
Age group of applicants
- Sex
Gender/sex of applicants
- Applicant type
'Main applicant' or 'Dependant'
- UASC
Are they an unaccompanied asylum-seeking child?
- Host Country
Host country, in cases of resettlement
- Decisions
Number of decisions
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Average cost per day to hold an individual in immigration detention
Description
Average cost per day to hold an individual in immigration detention
Usage
detention_cost_per_day
Format
A data frame with 43 rows and 4 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Cost
Cost
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#immigration-enforcement
Number of pregnant women detained in the immigration detention estate
Description
Number of pregnant women detained in the immigration detention estate
Usage
detention_pregnant_women
Format
A data frame with 29 rows and 4 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Number of pregnant women detained in the immigration detention estate
Number of pregnant women detained in the immigration detention estate
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#immigration-enforcement
People entering, leaving and in detention by asylum and non-asylum
Description
People entering, leaving and in detention by asylum and non-asylum.
Usage
detention_summary_flow
Format
A data frame with 13 rows and 10 variables:
- Date
Date
- Entering detention
Entering detention
- Entering detention Asylum
Entering detention Asylum
- Entering detention Non-asylum
Entering detention Non-asylum
- Leaving detention
Leaving detention
- Leaving detention Asylum
Leaving detention Asylum
- Leaving detention Non-asylum
Leaving detention Non-asylum
- In detention (at end of period)
In detention (at end of period)
- In detention Asylum
In detention Asylum
- In detention Non-asylum
In detention Non-asylum
...
Source
Deaths of persons detained under Immigration Act Powers and absconds from detention, 2017 to 2022
Description
Deaths of persons detained under Immigration Act Powers and absconds from detention, 2017 to 2022
Usage
detentions_deaths_and_absconds
Format
A data frame with 6 rows and 5 variables:
- Year
Year
- Deaths of persons detained under Immigration Powers
Deaths of persons detained under Immigration Powers
- Of which occurred in the detention estate
Of which occurred in the detention estate
- Escapes from detention centres
Escapes from detention centres
- Absconds from escort
Absconds from escort
...
Source
Deaths of persons detained under Immigration Act Powers, 2017 to 2021
Description
Deaths of persons detained under Immigration Act Powers, 2017 to 2021
Usage
detentions_deaths_details
Format
A data frame with 10 rows and 8 variables:
- Year
Year
- Number
Number identifying a person within each year
- Sex
Sex
- Age
Age
- Nationality
Nationality
- Cause of death
Cause of death
- Place of incident
Place of incident
- Place of death
Place of death
...
Source
Dublin regulation
Description
Transfers and requests for transfer under the Dublin regulation, by EU member state and article.
Usage
dublin_regulation
Format
A data frame with 3,508 rows and 8 variables:
- Date
The period in which the request or transfer of an asylum applicant under the Dublin Regulation was made
- Year
Year
- Quarter
Quarter
- Member State
As applicable, the EU Member State which either raises, or receives, a request or transfer of an asylum applicant under the Dublin Regulation
- In / Out
The direction of a request or transfer: either into, or out of, the UK
- Request / Transfer
Whether the case is a request for transfer, or a transfer, of an asylum applicant
- Article
The Article (rule) of the Dublin Regulation under which the request or transfer is carried out
- Count
The number of transfers, or requests to transfer under the Dublin Regulation
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Family reunion visa grants
Description
Family reunion visas granted to family members of refugees, by nationality, sex and age.
Usage
family_reunion
Format
A data frame with 8,376 rows and 8 variables:
- Date
The period in which the Family Reunion visa was granted
- Year
Year
- Quarter
Quarter
- Nationality
Nationality of the visa recipient
- Region
World region of the country of nationality for the visa recipient
- Sex
The sex of the individual
- Age
Age of individual at time of visa grant
- Visas granted
The number of family reunion visas granted
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Grant rates at initial decision (annual)
Description
Grant rate is the proportion of initial decisions which resulted in a grant of protection or other leave.
Usage
grant_rates_initial_annual
Format
A data frame with 3,312 rows and 6 variables:
- Year
Year
- Nationality
Nationality
- Region
Region
- Grant
Total number of grants at initial decision
- Refused
Total number of refusals at initial decision
- Initial grant rate
Initial grant rate - percentage
...
Source
Grant rates at initial decision (quarterly)
Description
Grant rate is the proportion of initial decisions which resulted in a grant of protection or other leave.
Usage
grant_rates_initial_quarterly
Format
A data frame with 10,089 rows and 8 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Grant
Total number of grants at initial decision
- Refused
Total number of refusals at initial decision
- Initial grant rate
Initial grant rate - percentage
...
Source
Cases considered under inadmissibility rules
Description
Cases considered under inadmissibility rules, 1 January 2021 - 30 September 2022.
Usage
inadmissibility_cases_considered
Format
A data frame with 55 rows and 5 variables:
- Date
Date
- Quarter
Quarter
- Year
Year
- Stage
Stage at which the case is being considered
- Cases
Number of cases
...
Details
Notes: 1. Data on inadmissibility are taken from internal Home Office management information and should be considered provisional. 2. The figures in this table include a small number of cases that entered the system before 1 January 2021, when the strengthened inadmissibility rules came into force. 3. Includes main applicants and dependants. 4. The time period relates to when the action was taken (e.g. the date the notice was issued, the date the inadmissibility decision was served, etc). 5. The data is a count of the outcomes, not a count of individuals; individuals will be counted multiple times in the data. For example, an individual who received a notice of intent and then a decision of inadmissibility will be counted once in the 'notice of intent issued' group and counted again in the 'inadmissibility decision served' group. 6. Data for October to December 2022 was not available at the time of data extraction for this release, due to ongoing work as immigration data transitions to a new case working system. Updated data will be included in a future edition of the Immigration System Statistics release. 7. 'Removals' includes all enforced removals of those entering the inadmissibility process. Where an enforced removal is linked to criminality, these have been excluded as the removal is not on the grounds of inadmissibility. However, there may still be a small number of enforced removals included in the figures which are for reasons other than inadmissibility. 8. Voluntary returns do not attract an inadmissible decision but require the applicant to withdraw their asylum claim. As such, voluntary returns have been excluded as they are not as a result of an inadmissibility decision. For the total number of asylum-related returns of asylum seekers (beyond those in the inadmissibility process), see the Returns summary table Ret_05.
Source
Irregular migration to the UK
Description
Number of detected attempts to enter the UK irregularly by method of entry, nationality, region, sex and age group.
Usage
irregular_migration
Format
A data frame with 10,294 rows and 9 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Method of entry
Method of entry
- Nationality
Nationality
- Region
Region
- Sex
Sex
- Age Group
Age Group
- Number of detections
Number of detections
...
Source
Resettlement by local authority
Description
Refugees resettled by resettlement scheme and local authority.
Usage
local_authority_resettlement
Format
A data frame with 3,953 rows and 8 variables:
- Date
The period in which the refugee arrived in the UK
- Year
Year
- Quarter
Quarter
- UK Region
Region of the UK in which the refugee was initially resettled
- LAD Code
Local Authority (district) code as supplied by ONS
- Local Authority
The Local Authority in which the refugee was initially resettled
- Resettlement Scheme
The scheme under which the refugee was resettled
- Persons
The number of refugees resettled
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Section 95 support by local authority
Description
Asylum seekers in receipt of section 95 support by local authority.
Usage
local_authority_support
Format
A data frame with 18,568 rows and 9 variables:
- Date
The date at which the number of people in receipt of support refers to
- Year
Year
- Quarter
Quarter
- Support Type
Section 95 or Section 4 support?
- UK Region
The UK region of the individual's registered address
- Local Authority
The Local Authority of the individual's registered address
- LAD Code
Local Authority (district) code as supplied by ONS
- Accommodation Type
Whether the support provided is subsistence only, or includes provision of accommodation
- People
Number of people in receipt of section 95 support
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Notices of intent issued, by nationality
Description
Notices of intent issued, by nationality, 1 January 2021 to 30 September 2022
Usage
notices_of_intent
Format
A data frame with 11 rows and 2 variables:
- Nationality
Nationality
- Total
Total number of notices of intent issued
...
Details
1. Data on inadmissibility are taken from internal Home Office management information and should be considered provisional. 2. Includes main applicants and dependants. 3. Data for October to December 2022 was not available at the time of data extraction for this release, due to ongoing work as immigration data transitions to a new case working system. Updated data will be included in a future edition of the Immigration System Statistics release.
Source
NRM conclusive grounds decisions
Description
NRM conclusive grounds decisions made by both competent authorities by quarter, outcome and age at exploitation.
Usage
nrm_conclusive_grounds
Format
A data frame with 49 rows and 12 variables:
- Year
Year
- Quarter
Quarter
- Adult (18 or over) - Negative conclusive grounds
Adult (18 or over) - Negative conclusive grounds
- Adult (18 or over) - Positive conclusive grounds
Adult (18 or over) - Positive conclusive grounds
- Adult (18 or over) - Total
Adult (18 or over) - Total
- Child (17 or under) - Negative conclusive grounds
Child (17 or under) - Negative conclusive grounds
- Child (17 or under) - Positive conclusive grounds
Child (17 or under) - Positive conclusive grounds
- Child (17 or under) - Total
Child (17 or under) - Total
- Age not specified or unknown - Negative conclusive grounds
Age not specified or unknown - Negative conclusive grounds
- Age not specified or unknown - Positive conclusive grounds
Age not specified or unknown - Positive conclusive grounds
- Age not specified or unknown - Total
Age not specified or unknown - Total
- Total
Total decisions
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
Referrals received via the Duty to Notify process in Q2 2022, by nationality
Description
Referrals received via the Duty to Notify process in Q2 2022, by nationality
Usage
nrm_duty_to_notify_2022_q2
Format
A data frame with 90 rows and 2 variables:
- Nationality
Nationality
- Total
Number of referrals via duty to notify
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
Referrals received via the Duty to Notify process in Q3 2022, by nationality
Description
Referrals received via the Duty to Notify process in Q3 2022, by nationality
Usage
nrm_duty_to_notify_2022_q3
Format
A data frame with 99 rows and 2 variables:
- Nationality
Nationality
- Total
Number of referrals via duty to notify
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
Referrals received via the Duty to Notify process in Q4 2022, by nationality
Description
Referrals received via the Duty to Notify process in Q4 2022, by nationality
Usage
nrm_duty_to_notify_2022_q4
Format
A data frame with 98 rows and 2 variables:
- Nationality
Nationality
- Total
Number of referrals via duty to notify
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
Referrals received via the Duty to Notify process in Q1 2023, by nationality
Description
Referrals received via the Duty to Notify process in Q1 2023, by nationality
Usage
nrm_duty_to_notify_2023_q1
Format
A data frame with 97 rows and 2 variables:
- Nationality
Nationality
- Total
Number of referrals via duty to notify
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
Referrals received via the Duty to Notify process in Q2 2023, by nationality
Description
Referrals received via the Duty to Notify process in Q2 2023, by nationality
Usage
nrm_duty_to_notify_2023_q2
Format
A data frame with 94 rows and 2 variables:
- Nationality
Nationality
- Total
Number of referrals via duty to notify
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
Referrals received via the Duty to Notify process in Q3 2023, by nationality
Description
Referrals received via the Duty to Notify process in Q3 2023, by nationality
Usage
nrm_duty_to_notify_2023_q3
Format
A data frame with 102 rows and 2 variables:
- Nationality
Nationality
- Total
Number of referrals via duty to notify
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
Referrals received via the Duty to Notify process, by quarter
Description
Referrals received via the Duty to Notify process, by quarter
Usage
nrm_duty_to_notify_longitudinal
Format
A data frame with 41 rows and 3 variables:
- Year
Year
- Quarter
Quarter
- Total
Number of referrals via duty to notify
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM reasonable grounds decisions
Description
NRM reasonable grounds decisions made by both competent authorities by quarter, outcome and age at exploitation.
Usage
nrm_reasonable_grounds
Format
A data frame with 49 rows and 12 variables:
- Year
Year
- Quarter
Quarter
- Adult (18 or over) - Negative reasonable grounds
Adult (18 or over) - Negative reasonable grounds
- Adult (18 or over) - Positive reasonable grounds
Adult (18 or over) - Positive reasonable grounds
- Adult (18 or over) - Total
Adult (18 or over) - Total
- Child (17 or under) - Negative reasonable grounds
Child (17 or under) - Negative reasonable grounds
- Child (17 or under) - Positive reasonable grounds
Child (17 or under) - Positive reasonable grounds
- Child (17 or under) - Total
Child (17 or under) - Total
- Age not specified or unknown - Negative reasonable grounds
Age not specified or unknown - Negative reasonable grounds
- Age not specified or unknown - Positive reasonable grounds
Age not specified or unknown - Positive reasonable grounds
- Age not specified or unknown - Total
Age not specified or unknown - Total
- Total
Total decisions
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals - Q2 2022
Description
NRM referrals - Q2 2022
Usage
nrm_referrals_2022_q2
Format
A data frame with 44,420 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals - Q3 2022
Description
NRM referrals - Q3 2022
Usage
nrm_referrals_2022_q3
Format
A data frame with 51,520 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals - Q4 2022
Description
NRM referrals - Q4 2022
Usage
nrm_referrals_2022_q4
Format
A data frame with 48,966 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals - Q1 2023
Description
NRM referrals - Q1 2023
Usage
nrm_referrals_2023_q1
Format
A data frame with 49,104 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals - Q2 2023
Description
NRM referrals - Q2 2023
Usage
nrm_referrals_2023_q2
Format
A data frame with 49,752 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals - Q3 2023
Description
NRM referrals - Q3 2023
Usage
nrm_referrals_2023_q3
Format
A data frame with 51,506 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Government first responders - Q2 2022
Description
NRM referrals from Government first responders - Q2 2022
Usage
nrm_referrals_govt_2022_q2
Format
A data frame with 26,010 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Government first responders - Q3 2022
Description
NRM referrals from Government first responders - Q3 2022
Usage
nrm_referrals_govt_2022_q3
Format
A data frame with 25,553 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Government first responders - Q4 2022
Description
NRM referrals from Government first responders - Q4 2022
Usage
nrm_referrals_govt_2022_q4
Format
A data frame with 25,000 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Government first responders - Q1 2023
Description
NRM referrals from Government first responders - Q1 2023
Usage
nrm_referrals_govt_2023_q1
Format
A data frame with 23,712 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Government first responders - Q2 2023
Description
NRM referrals from Government first responders - Q2 2023
Usage
nrm_referrals_govt_2023_q2
Format
A data frame with 27,195 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Government first responders - Q3 2023
Description
NRM referrals from Government first responders - Q3 2023
Usage
nrm_referrals_govt_2023_q3
Format
A data frame with 29,484 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Local Authority first responders - Q2 2022
Description
NRM referrals from Local Authority first responders - Q2 2022
Usage
nrm_referrals_la_2022_q2
Format
A data frame with 8,556 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Local Authority first responders - Q3 2022
Description
NRM referrals from Local Authority first responders - Q3 2022
Usage
nrm_referrals_la_2022_q3
Format
A data frame with 11,115 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Local Authority first responders - Q4 2022
Description
NRM referrals from Local Authority first responders - Q4 2022
Usage
nrm_referrals_la_2022_q4
Format
A data frame with 10,878 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Local Authority first responders - Q1 2023
Description
NRM referrals from Local Authority first responders - Q1 2023
Usage
nrm_referrals_la_2023_q1
Format
A data frame with 14,012 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Local Authority first responders - Q2 2023
Description
NRM referrals from Local Authority first responders - Q2 2023
Usage
nrm_referrals_la_2023_q2
Format
A data frame with 10,640 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Local Authority first responders - Q3 2023
Description
NRM referrals from Local Authority first responders - Q3 2023
Usage
nrm_referrals_la_2023_q3
Format
A data frame with 9,690 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals by quarter by age at exploitation and location of exploitation
Description
NRM referrals by quarter by age at exploitation and location of exploitation
Usage
nrm_referrals_longitudinal
Format
A data frame with 870 rows and 5 variables:
- Year
Year
- Quarter
Quarter
- Age at exploitation
Age at exploitation
- Location of exploitation
Location of exploitation
- NRM referrals
Number of NRM referrals
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from NGO and third sector first responders - Q2 2022
Description
NRM referrals from NGO and third sector first responders - Q2 2022
Usage
nrm_referrals_ngo_2022_q2
Format
A data frame with 9,765 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from NGO and third sector first responders - Q3 2022
Description
NRM referrals from NGO and third sector first responders - Q3 2022
Usage
nrm_referrals_ngo_2022_q3
Format
A data frame with 14,756 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from NGO and third sector first responders - Q4 2022
Description
NRM referrals from NGO and third sector first responders - Q4 2022
Usage
nrm_referrals_ngo_2022_q4
Format
A data frame with 12,992 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from NGO and third sector first responders - Q1 2023
Description
NRM referrals from NGO and third sector first responders - Q1 2023
Usage
nrm_referrals_ngo_2023_q1
Format
A data frame with 11,286 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from NGO and third sector first responders - Q2 2023
Description
NRM referrals from NGO and third sector first responders - Q2 2023
Usage
nrm_referrals_ngo_2023_q2
Format
A data frame with 11,820 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from NGO and third sector first responders - Q3 2023
Description
NRM referrals from NGO and third sector first responders - Q3 2023
Usage
nrm_referrals_ngo_2023_q3
Format
A data frame with 12,238 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Police first responders - Q2 2022
Description
NRM referrals from Police first responders - Q2 2022
Usage
nrm_referrals_police_2022_q2
Format
A data frame with 87,042 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Police first responders - Q3 2022
Description
NRM referrals from Police first responders - Q3 2022
Usage
nrm_referrals_police_2022_q3
Format
A data frame with 93,696 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Police first responders - Q4 2022
Description
NRM referrals from Police first responders - Q4 2022
Usage
nrm_referrals_police_2022_q4
Format
A data frame with 96,768 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Police first responders - Q1 2023
Description
NRM referrals from Police first responders - Q1 2023
Usage
nrm_referrals_police_2023_q1
Format
A data frame with 98,700 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Police first responders - Q2 2023
Description
NRM referrals from Police first responders - Q2 2023
Usage
nrm_referrals_police_2023_q2
Format
A data frame with 93,411 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRM referrals from Police first responders - Q3 2023
Description
NRM referrals from Police first responders - Q3 2023
Usage
nrm_referrals_police_2023_q3
Format
A data frame with 94,000 rows and 7 variables:
- First responder type
First responder type
- First responder
First responder
- Exploitation type
Labour, domestic, sexual etc. exploitation
- Age at exploitation
Age group
- Gender
Gender/sex
- Nationality
Nationality
- People
Number of people referred to NRM
...
Source
https://www.gov.uk/government/collections/national-referral-mechanism-statistics
NRPF - Destitution Change of Conditions Application by Age Group
Description
NFRP - Destitution Change of Conditions Applications by Age Group. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/
Usage
nrpf_change_of_conditions_age
Format
A data frame with 25 rows and 12 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Under 18
Number of applicants under 18
- 18 to 25
Number of applicants aged 18-25
- 26 to 30
Number of applicants aged 26-30
- 31 to 40
Number of applicants aged 31-40
- 41 to 50
Number of applicants aged 41-50
- 51 to 60
Number of applicants aged 51-60
- 61 to 70
Number of applicants aged 61-70
- 71 to 80
Number of applicants aged 71-80
- Over 80
Number of applicants aged over 80
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
NFRP - Destitution Change of Conditions Applications and Outcomes
Description
NFRP - Destitution Change of Conditions Applications and Outcomes. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/
Usage
nrpf_change_of_conditions_decisions
Format
A data frame with 25 rows and 10 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Applications Received
Number of applications received
- Of which: Pending
Number of applications pending
- Decisions
Number of decisions made
- Of which: Accepted
Decisions that were accepted
- Of which: Rejected
Decisions that were rejected
- Average Days to Decision
Average days taken to reach a decision
- Acceptance Rate
Rate of acceptance
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
NFRP - Destitution Change of Conditions Applications by Gender
Description
NFRP - Destitution Change of Conditions Applications by Gender. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/
Usage
nrpf_change_of_conditions_gender
Format
A data frame with 25 rows and 6 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Male
Number of applications from males
- Female
Number of applications from females
- Recorded as Unknown
Number of applications from people whose sex/gender is unknown
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
NRPF - Destitution Change of Conditions Application by Nationality
Description
NFRP - Destitution Change of Conditions Applications by Nationality. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/
Usage
nrpf_change_of_conditions_nationality
Format
A data frame with 164 rows and 26 variables:
- Nationality
Nationality
- 2017 Q3
2017 Q3
- 2017 Q4
2017 Q4
- 2018 Q1
2018 Q1
- 2018 Q2
2018 Q2
- 2018 Q3
2018 Q3
- 2018 Q4
2018 Q4
- 2019 Q1
2019 Q1
- 2019 Q2
2019 Q2
- 2019 Q3
2019 Q3
- 2019 Q4
2019 Q4
- 2020 Q1
2020 Q1
- 2020 Q2
2020 Q2
- 2020 Q3
2020 Q3
- 2020 Q4
2020 Q4
- 2021 Q1
2021 Q1
- 2021 Q2
2021 Q2
- 2021 Q3
2021 Q3
- 2021 Q4
2021 Q4
- 2022 Q1
2022 Q1
- 2022 Q2
2022 Q2
- 2022 Q3
2022 Q3
- 2022 Q4
2022 Q4
- 2023 Q1
2023 Q1
- 2023 Q2
2023 Q2
- 2023 Q3
2023 Q3
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
National Transfer Scheme
Description
Number of individuals transferred between local authorities under the National Transfer Scheme for unaccompanied asylum seeking children.
Usage
nts
Format
A data frame with 12,538 rows and 9 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Region
UK region
- Local Authority or HSCT (NI)
Local Authority, or Health & Social Care Trust in Northern Ireland
- Able to participate in the NTS?
Is this LA/HSCT participating in the National Transfer Scheme?
- Transfers out of Local Authority
Number of transfers out of LA
- Transfers into Local Authority
Number of transfers into LA
- Transfers into LA from port/intake unit
Number of transfers into to LA from port/intake unit
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Volume of oral hearings represented by the Home Office
Description
The volume of oral hearings represented by the Home Office divided by the total number of oral hearing.
Usage
oral_hearings_volume
Format
A data frame with 13 rows and 4 variables:
- Financial Year
Financial year
- Asylum appeals represented at hearing (%)
Percent of sylum appeals represented at hearing
- Asylum Oral Hearings
Number of asylum oral hearings
- Asylum Oral Hearings Represented by HO
Number of asylum oral hearings represented by the Home Office
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Outcome analysis of asylum applications
Description
The initial decision and final outcome of all asylum applications raised in a period, by nationality.
Usage
outcomes
Format
A data frame with 3,463 rows and 26 variables:
- Year of application
Year of application
- Geographical region
Geographical region
- Nationality
Nationality
- Applications
Applications
- Initial decisions
Initial decisions
- Granted asylum
Granted asylum
- Granted HP/DL
Granted HP/DL
- Other grants
Other grants
- Refused
Refused
- Applications withdrawn
Applications withdrawn
- Initial decisions not yet known
Initial decisions not yet known
- Appeals lodged
Appeals lodged
- Allowed appeals
Allowed appeals
- Dismissed appeals
Dismissed appeals
- Withdrawn appeals
Withdrawn appeals
- Appeal outcome not yet known
Appeal outcome not yet known
- Enforced returns
Enforced returns
- Voluntary returns
Voluntary returns
- Assisted returns (Subset of Voluntary returns)
Assisted returns (Subset of Voluntary returns)
- Controlled returns (Subset of Voluntary returns)
Controlled returns (Subset of Voluntary returns)
- Other verified returns (Subset of Voluntary returns)
Other verified returns (Subset of Voluntary returns)
- Final outcome: Grants of asylum
Final outcome: Grants of asylum
- Final outcomes: Grants of HP/DL and other
Final outcomes: Grants of HP/DL and other
- Final outcomes: Refused asylum or HP or DL or other leave
Final outcomes: Refused asylum or HP or DL or other leave
- Final outcome: Withdrawn application
Final outcome: Withdrawn application
- Final outcome: Cases with final outcome not yet known
Final outcome: Cases with final outcome not yet known
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Number of entries into immigration detention
Description
Number of entries into immigration detention by nationality, age, sex and initial place of detention.
Usage
people_entering_detention
Format
A data frame with 72,825 rows and 9 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Sex
Sex
- Age
Age
- First place of detention
First place of detention
- Entering
Entering
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Number of people in immigration detention
Description
Number of people in immigration detention at the end of each quarter by nationality, age, sex, current place of detention and length of detention.
Usage
people_in_detention
Format
A data frame with 78,630 rows and 10 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Sex
Sex
- Age
Age
- Current place of detention
Current place of detention
- Length of detention
Length of detention
- People
Number of people in detention
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Number of occurrences of people leaving detention
Description
Number of occurrences of people leaving detention by nationality, age, sex, reason for leaving detention and length of detention
Usage
people_leaving_detention
Format
A data frame with 105,574 rows and 10 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Sex
Sex
- Age
Age
- Reason for leaving detention
Reason for leaving detention
- Length of detention
Length of detention
- Leaving
Number of people leaving detention
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Number of returns from the UK
Description
Number of returns from the UK, by nationality, age, sex, type of return and return destination group
Usage
returns
Format
A data frame with 237,640 rows and 11 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Return type group
Return type group
- Return type
Return type
- Age
Age
- Sex
Sex
- Return destination group
Return destination group
- Number of returns
Number of returns
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Returns from the UK, by nationality, type of return, and asylum/non-asylum
Description
Returns from the UK, by nationality, type of return, and asylum/non-asylum
Usage
returns_asylum
Format
A data frame with 22 rows and 5 variables:
- Category
Asylum-related or non-asylum-related return?
- Nationality
Nationality of people being returned
- Enforced returns
Number of enforced returns
- Voluntary returns
Number of voluntary returns
- Refused entry at port and subsequently departed
Number refused entry at port and subsequently departed
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Returns from the UK, by nationality, type of return, and asylum/non-asylum
Description
Returns from the UK, by nationality, type of return, and asylum/non-asylum
Usage
returns_asylum_longitudinal
Format
A data frame with 26 rows and 5 variables:
- Date of return
Date of return
- Category
Asylum-related or non-asylum-related return?
- Enforced returns
Number of enforced returns
- Voluntary returns
Number of voluntary returns
- Refused entry at port and subsequently departed
Number refused entry at port and subsequently departed
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Number of returns from the UK, by destination
Description
Number of returns from the UK, by type of return and country of destination
Usage
returns_by_destination
Format
A data frame with 43,580 rows and 8 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Return type group
Return type group
- Return type
Return type
- Return destination
Return destination
- Return destination region
Return destination region
- Number of returns
Number of returns
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Number of foreign national offender returns from the UK, by destination
Description
Number of foreign national offender returns from the UK, by destination.
Usage
returns_offenders_by_destination
Format
A data frame with 4,679 rows and 6 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Return destination
Return destination
- Return destination region
Return destination region
- Number of foreign national offender returns
Number of foreign national offender returns
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Number of foreign national offender returns from the UK, by nationality
Description
Number of foreign national offender returns from the UK, by nationality and return destination group.
Usage
returns_offenders_by_nationality
Format
A data frame with 6,546 rows and 7 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Return destination group
Return destination group
- Number of foreign national offender returns
Number of foreign national offender returns
...
Source
https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets
Outcomes of NRM referrals from small boat arrivals
Description
Outcomes of NRM referrals from small boat arrivals by nationality, region, sex, age group, NRM case outcome and NRM case outcome group.
Usage
small_boat_NRM_outcomes
Format
A data frame with 2,768 rows and 10 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Sex
Sex
- Age Group
Age Group
- NRM Case Outcome
Specific outcome of the NRM case
- NRM Case Outcome Group
Type of outcome
- Referrals
Number of referrals
...
Source
Number of NRM referrals from small boat arrivals
Description
Number of NRM referrals from small boat arrivals by NRM referral, nationality, region, sex and age group.
Usage
small_boat_NRM_referrals
Format
A data frame with 3,334 rows and 9 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- NRM referral
Was an NRM referral raised?
- Nationality
Nationality
- Region
Region
- Sex
Sex
- Age Group
Age Group
- Referrals
Number of referrals
...
Source
Number of asylum applications from small boat arrivals
Description
Number of asylum applications from small boat arrivals by asylum application, nationality, region, applicant type, sex and age group.
Usage
small_boat_asylum_applications
Format
A data frame with 3,969 rows and 11 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Asylum application
Was an asylum application raised?
- Nationality
Nationality
- Region
Region
- Applicant type
Main applicant or dependant
- UASC
Unaccompanied asylum-seeking children?
- Sex
Sex
- Age Group
Age Group
- Applications
Number of applications
...
Source
Initial decisions on asylum applications from small boat arrivals
Description
Initial decisions on asylum applications from small boat arrivals by nationality, region, asylum case outcome, asylum case outcome group, applicant type, sex and age group.
Usage
small_boat_initial_decisions
Format
A data frame with 5,380 rows and 12 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Nationality
Nationality
- Region
Region
- Asylum Case Outcome
Specific outcome of the asylum case
- Asylum Case Outcome Group
Type of outcome
- Applicant type
Main applicant or dependant
- UASC
Unaccompanied asylum-seeking children?
- Sex
Sex
- Age Group
Age Group
- Decisions
Number of decisions
...
Source
Applications for section 95 support
Description
Applications for section 95 support, by nationality, support type granted, and group type.
Usage
support_applications
Format
A data frame with 4,756 rows and 6 variables:
- Year
Year
- Nationality
Nationality of people receiving support
- Region
World region the nation is in
- Support type granted
'Accommodation', 'Closed / Invalid', or 'Subsistence Only'
- Group type
'Single adult', 'Family', or 'Unknown'
- Applications
Number of applications
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Applications for Support Section 4 and Section 95
Description
Applications for Support Section 4 and Section 95.
Usage
support_applications_rasi
Format
A data frame with 55 rows and 5 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- Section 4
Number of applications for Section 4 support
- Section 95
Number of applications for Section 95 support
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration
Asylum seekers in receipt of support
Description
Asylum seekers in receipt of support at end of period, by nationality, support type, and UK region.
Usage
support_received
Format
A data frame with 68,369 rows and 7 variables:
- Date
Date
- Nationality
Nationality of people receiving support
- Region
World region the nation is in
- Support Type
Section 95, Section 98, or Section 4 support
- Accommodation Type
'Dispersed Accommodation' or 'Subsistence Only' for Section 95 support
- UK Region
Where the people are currently living
- People
Number of people receiving support
...
Source
https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets
Travel documents
Description
Travel documents, applications raised and despatched.
Usage
travel_documents
Format
A data frame with 54 rows and 5 variables:
- Date
Date
- Year
Year
- Quarter
Quarter
- TD Raised
Number of travel document applications raised
- TD Despatched
Number of travel documents despatched
...
Source
https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration