No Suburban ποΈ
A Roblox experience owned by Downtown Development Team.
RoleplayENcrime simulationgang warfareopen world
Description (written by the developer; not a statement by this register)
[π¨V. 14.1π¨] View update log ingame. Welcome to No Suburban! a Roblox game set in a dangerous neighborhood! Use the following controls to move and attack: F/ButtonY - π‘οΈ Block E/PadDown - π‘οΈ Stomp/Finish G/PadUp - ποΈββοΈ Carry C/ButtonB - π¦ Duck Left Shift/Top Thumbstick - πββοΈ Run R/ButtonX - π« Reload Left CTRL (PC)/LT (XBOX) - Toggle shift lock If you leave the game while not in combat, your gear will be saved. Remember to use melee weapons wisely, as they drain your energy. All gamepasses are permanent. Earn cash by completing various activities such as stealing from registers and ATM's, picking up items, participating in robberies, getting hits at the club, working jobs, or becoming a cop. As you commit crimes and stomp other players, your bounty will increase. To join a gang, use the settings menu and enter a group ID. Join our group to be able to spin the Daily Wheel! https://www.roblox.com/groups/15387209/Downtown-Development-Team Enjoy!
Last updated by the developer 13 Feb 2025, 13:37 UTC.
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 β so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 11 Aug 2026, 21:30 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization β game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game arenβt publicly listable.
Badge funnel
How many players have ever earned each badge β 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 badgeβs own name and description.