Top Lifestyle — Top Grossing apps in Germany 🇩🇪
As of June 8, 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
Social Networking - 9

- 101

- 111—
- 125

- 13

- 14

- 15
Utilities - 164
Social Networking - 171

- 181
Gesundheit und Fitness - 191—
- 201tado°
tado
— - 213

- 222

- 232—
- 243

- 253

- 263—
- 274
Style de vie - 282—
- 291—
- 302

- 311

- 32NEW

- 332—
- 34NEW—
- 35

- 363

- 372

- 384—
- 399

- 40NEW

- 41NEW

- 425
Graphics & Design - 437

- 44NEW
Social Networking - 457—
- 465—
- 47NEW—
- 488—
- 496—
- 508

What changed
Movement between the previous day and June 8, 2026.
New entrants
favorited#32

I Am Sober#41

Risers
OAMN#48 → #39
Warhammer 40,000: The App#17 → #12
Xiaomi Home#24 → #21
Philips Hue#27 → #24
- YarnPal - Crochet for Beginner
#29 → #26
Fallers
- recoupling: relationship, love
#68 → #196
- Einfach Angeln – Angelschein
#70 → #189
- Horoscopes Astrology AstroWorx
#66 → #151
Umax - Become Hot#65 → #141
- Bibelzeit
#63 → #132
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 June 8, 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.