Top Family — Top Grossing apps in Singapore 🇸🇬
As of June 15, 2026, Lingokids: Games & Shows is the #1 Family — Top Grossing app in Singapore on Android.
#App / PublisherCategoryIntel
- 1

- 21

- 31

- 4

- 53

- 6

- 75—
- 81—
- 96

- 1011

- 113

- 12162—
- 137

- 143—
- 158—
- 162
Books - 172

- 1865

- 198Educational
- 206
- 2110—
- 222

- 236—
- 24NEW
Educación - 257—
- 268Preschool Learning Games
Benipol Limited
— - 278—
- 289

- 297

- 308

- 318Educational
- 328—
- 33NEW

- 3410Puzzle
- 3517

- 3611

- 376Educational
- 3813

- 3958

- 4013—
- 417

- 4214—
- 4373—
- 4413Educational
- 4546
Juegos - 4635Educational
- 4730

- 4836

- 4910

- 5012
What changed
Movement between the previous day and June 15, 2026.
New entrants
Risers
- iHuman Chinese - Fun Learning
#174 → #12
Hello Kitty Nail Salon#158 → #64
- LEGO® DUPLO® Peppa Pig
#151 → #63
- Baby Panda: Chinese Adventure
#116 → #43
Minno - Kids Bible Videos#83 → #18
Fallers
WaWaYaYa JoyReader Pro -AI学华文#46 → #86
Thomas & Friends: Magic Tracks#69 → #103
Baby Games for 2–5 year olds#76 → #106
- Jolly Phonics Lessons
#61 → #71
- bekids Princess Coloring Book
#54 → #61
Methodology
Rankings are pulled daily from the Android store charts for Singapore. 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 Family — Top Grossing app in Singapore on Android?
As of June 15, 2026, Lingokids: Games & Shows is the #1 Family — Top Grossing app in Singapore on Android, based on the public Android chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the Android charts for Singapore 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 Singapore. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.