- Country
- Anguilla (United Kingdom)
- Ministry responsible
- Ministry of Social Development
- Prison administration
- His Majesty's Prison, Government of Anguilla
- Contact address
-
P.O.Box 60, Parliamentary Drive, The Valley
Anguilla - Telephone
- Fax
- Head of prison administration
-
Lindsay Richardson, Acting Superintendent of Prisons
Prison population data
| Prison population total (including pre-trial detainees / remand prisoners) |
36
at May 2022 (national prison administration)
|
|---|---|
| Prison population rate (per 100,000 of national population) |
240
based on an estimated national population of 15,000 at May 2022 (United Nations)
|
| Pre-trial detainees / remand prisoners (percentage of prison population) |
45.5%
(30.8.2018)
|
| Female prisoners (percentage of prison population) |
0.0%
(30.8.2018)
|
| Juveniles / minors / young prisoners incl. definition (percentage of prison population) |
1.8%
(30.8.2018 - under 18)
|
| Foreign prisoners (percentage of prison population) |
29.1%
(30.8.2018)
|
| Number of establishments / institutions |
2
(2018 - His Majesty's Prison East and His Majesty's Prison West)
|
| Official capacity of prison system |
60
(30.8.2018)
|
| Occupancy level (based on official capacity) |
91.7%
(30.8.2018)
|
Prison population trend
| Year | Prison population total | Prison population rate |
|---|---|---|
| 41 | 342 | |
| 45 | 346 | |
| 44 | 338 | |
| 58 | 414 | |
| 76 | 543 | |
| 60 | 414 | |
| 46 | 307 | |
| 55 | 367 |
Prison population total
Prison population rate
Pre-trial/remand prison population: trend
The table below gives an indication of the recent trend in the pre-trial/remand prison population. The final row shows the latest figures available.
It consists of the number of pre-trial/remand prisoners in the prison population on a single date in the year (or the annual average) and the percentage of the total prison population that pre-trial/remand prisoners constituted on that day.
The final column shows the pre-trial/remand population rate per 100,000 of the national population.
ANGUILLA (UNITED KINGDOM)
| Year | Number in pre-trial/remand imprisonment | Percentage of total prison population | Pre-trial/remand population rate (per 100,000 of national population) |
| 2007 2011 | 17 15 | 30.9% 20.8% | 131 100 |
| 2018 | 25 | 45.5% | 167 |
It should be noted that the number of pre-trial/remand prisoners fluctuates from day to day, month to month and year to year. Consequently the above figures give an indication of the trend but the picture is inevitably incomplete.
The pre-trial/remand population rate is calculated on the basis of the national population total. All national population figures are inevitably estimates but the estimates used in the World Prison Brief are based on official national figures, United Nations figures or figures from other recognised international authorities.
Female prison population: trend
The table below gives an indication of the trend in the female prison population. The final row shows the latest figures available.
It consists of the number of female prisoners in the prison population on a single date in the year (or the annual average) and the percentage of the total prison population that female prisoners constituted on that day.
The final column shows the female prison population rate per 100,000 of the national population.
ANGUILLA (UNITED KINGDOM)
| Year | Number of female prisoners | Percentage of total prison population | Female prison population rate (per 100,000 of national population) |
| 2007 2011 2015 | 0 2 1 | 0% 2.8% 2.2% | 0 14.3 6.7 |
| 2018 | 0 | 0% | 0 |
The number of female prisoners fluctuates and so the above figures give an indication of the trend but the picture is inevitably incomplete.
The female prison population rate is calculated on the basis of the national population total. All national population figures are inevitably estimates but the estimates used in the World Prison Brief are based on official national figures, United Nations figures or figures from other recognised international authorities.
(If the rate were calculated on the basis of the number of females in the national population it would of course be approximately double the figure in the final column.)
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