Ford Crime Family #8093030
Game fan groupsENfake_currency_promisesmafia_roleplayin-game_economy
Description
The Ford Crime Family is an organized group of dedicated members who seek to dominate and grow across the various cities of Roblox. We will primarily be visiting multiple games across Roblox such as Washington DC, Chicago, and other fictional Roblox towns with their own respective police departments. Our goal is to accrue as much currency as possible, obtain the best guns, invade whatever city buildings we see fit, and engage in street combat with our enemies. Robux will be given on a weekly basis to all ranks above Associate [II]. This is given that you are active and attending trainings/raids/defense. Most importantly, this mafia is a Family. We seek to create a community where we will develop friendships and above all have fun. Our text channels do not have to strictly be related to Roblox and we will frequently be holding game nights and other festivities. Welcome to the Family.
Written by the group; not a statement by this register.
Membership history
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 We do not publish numbers we have not measured.
| Measured (UTC) | Members | Change |
|---|---|---|
| 11 Aug 2026, 06:21 | 54 | first reading |
Ownership
Owned by @MrChoc as measured.
Experiences
Experiences this group owns, by lifetime visits. Live-player counts are from our last measurement.
Members we’ve seen
A sample — only members this register has independently measured, highest rank first. Not the full roster.
Rank structure
Roles and per-rank member counts as Roblox reports them (rank 0 = guest … 255 = owner).
Related groups
Groups whose measured members overlap with this one — a sample from our membership graph.
Open data
Download this group’s measured record — free to reuse with attribution: membership history (CSV) · full record (JSON)
Each file carries its licence and retrieval time inside it, and is generated from the same measurements shown above.