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Loretto Federal Penitentiary

Loretto Federal Penitentiary

A Roblox experience owned by Loretto Federal Penitentiary (Old).

RoleplayENprison simulationroleplayinmate/officer dynamics

Description (written by the developer; not a statement by this register)

🏢 | Welcome to Loretto Federal Penitentiary, a stronghold established back in '85, situated deep in the heart of Texas. Here, we're all about security, built to house hundreds of inmates. 🔪 | Become an inmate, navigating the twists and turns of alliances, getting crafty at the workbench with whatever materials you can scrounge up, and taking on jobs that could earn you some perks and cash along the way. ⚖️ | Or, step into the shoes of a correctional officer, keeping the peace, managing the folks on the inside, and making sure everything runs smoothly. The choice is yours, Whacks invalid here.

Last updated by the developer 8 Feb 2026, 21:51 UTC.

0
playing (measured 10 Aug 2026, 22:35 UTC)
26,608
lifetime visits
58%
liked (47 👍 / 34 👎)
133
favourites (5.0 per 1k visits)
19 June 2024
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
10 Aug 2026, 22:350first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

[LFP] Permanent Knife
75,000 R$
[LFP] Mop
750 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

Welcome to Loretto. · welcome0 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.