Top Lifestyle — Top Grossing apps in Germany 🇩🇪
As of May 16, 2026, Meet5: Meet new people is the #1 Lifestyle — Top Grossing app in Germany on Android.
#App / PublisherCategoryIntel
- 1—
- 2—
- 3
- 4
Social Networking - 5—
- 6
- 7—
- 8
- 91
Social Networking - 101—
- 112
- 12
Social Networking - 132
Utilities - 141
- 151tado°
tado
— - 16
- 171
- 181
- 194
- 201
- 211—
- 221
- 233—
- 241
- 251—
- 261
- 271—
- 28
- 2916
- 303
- 312
- 321—
- 332
Graphics & Design - 342—
- 351
- 366—
- 379
Style de vie - 384—
- 39
- 403—
- 41—
- 421—
- 435—
- 446
- 451—
- 466—
- 47Fal Sepeti - Astroloji & Tarot
Lavina Labs LTD
— - 482—
- 4914—
- 506—
What changed
Movement between the previous day and May 16, 2026.
New entrants
- Liebeschip
#104
Color Widgets#151
Risers
Gratitude: Self-Care Journal#188 → #141
- AlKhattaba - Muslim Marriage
#168 → #123
iScape: Landscape Design#178 → #142
- Only Love
#127 → #95
- Daynote | Diary with Lock
#150 → #121
Fallers
CUE Astrology#70 → #152
- Fits – Outfit Planner & Closet
#99 → #173
- LooseLoop - Knitting Companion
#135 → #185
- RabbitCloud - Pedigree App
#116 → #153
- Astroscope: Astrology Guide
#138 → #167
Methodology
Rankings are pulled daily from the Android store charts for Germany. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Lifestyle — Top Grossing app in Germany on Android?
As of May 16, 2026, Meet5: Meet new people is the #1 Lifestyle — Top Grossing app in Germany on Android, based on the public Android chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the Android charts for Germany every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public Android store charts for Germany. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.