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PHcity Lifestyle
A Consequence-base NaijaGTA Concept, The visual feel of Naija and it's city, containing Jobs, Housing, Gangs & Lifestyle!
ESX Legacy
naijanigeriagtaphcityroleplayesx
30/ 64
Live players
7-day peak
58
All-time peak
58
Last seen
Oct 19, 2026, 08:05 PM
Votes
0
Rating
—
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How busy is PHcity Lifestyle?
We count the players on this server every five minutes and keep the history.
- Busiest hours
- 18:00–04:00 UTC
- Usual players when active
- 18
- Peak this week
- 58 of 64 · 91% full
- Trend
- Up 49% vs the previous 3 days
- Rank by peak players
- Top 4%
- Framework
- ESX
- Resources
- 341
PHcity Lifestyle is busy for most of the day rather than one evening: it stays above its 19-player daily average for 10 straight hours, 18:00–04:00 UTC, averaging 30 across that stretch and peaking at 22:00 UTC with 36. Its longest quiet stretch is 04:00–18:00 UTC, averaging 11 players — thin by its own standards, but still a running city rather than an empty one.
Capacity is a real constraint here: against 64 slots its peak this week hit 58 — 91% of the server — and when anyone is on it, it averages 18 players, which is 28% full. It is also filling up: it averaged 21 players across 16 Oct–18 Oct, up 49% on the 14 it averaged across 12 Oct–14 Oct.
That puts PHcity Lifestyle ahead of 96% of the 42,527 FiveM servers ViceHub tracked consistently this week, ranked on peak concurrent players. That is measured from our own five-minute checks, not from anything the server claims about itself.
Under the hood PHcity Lifestyle runs ESX with 341 resources loaded — a substantial build, using pma-voice for voice and ox_inventory for inventory.
Daily player counts, last 7 days
One row per full day (UTC). Average counts every check taken that day, including the ones that found nobody online.
| Day | Peak | Average |
|---|---|---|
| Sun 18 Oct | 58 | 25 |
| Sat 17 Oct | 46 | 22 |
| Fri 16 Oct | 37 | 15 |
| Thu 15 Oct | 44 | 22 |
| Wed 14 Oct | 45 | 13 |
| Tue 13 Oct | 38 | 15 |
| Mon 12 Oct | 34 | 14 |
We do not publish an uptime figure. When a check finds nobody online, we cannot tell an empty server apart from one that was switched off — so any percentage would be a guess. How we measure this.