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難読・面白地名辞典 icon

How much does 難読・面白地名辞典 earn?

Android app from Mejiro Publications · Travel & Local

ML forecast Free

~153/mo

ML revenue forecast. Calibrated against 30046 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

難読・面白地名辞典 screenshot 1 難読・面白地名辞典 screenshot 2 難読・面白地名辞典 screenshot 3 難読・面白地名辞典 screenshot 4

難読・面白地名辞典's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where 難読・面白地名辞典 sits in Travel & Local

Revenue distribution of 30046 comparable apps. 難読・面白地名辞典 highlighted.

難読・面白地名辞典 vs comparable apps

Revenue trajectory side-by-side. Bold = 難読・面白地名辞典, ghosted = peers.

App spec

Version
Varies with device
Launched
Jan 23, 2013
Price
Free
Monetization
Free

What 難読・面白地名辞典 actually does (from store listing)

There are many obscure place names and interesting place names in Japan. This app, "Dictionary of Obfuscated and Interesting Place Names", contains approximately 4,000 obfuscated place names and approximately 1,000 interesting (rare) place names scattered throughout Japan, by prefecture and municipality. Obfuscated place names and interesting place names often have historical, topographical, and cultural meanings behind them. By knowing how to read them and comparing them with their locations o…
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Comparable Android apps

The five apps in Travel & Local with the closest revenue to 難読・面白地名辞典. Click any to see its detail page.

AppRevenueRatingRatings
Vilnius Offline City Map icon Vilnius Offline City Map 153 0
Brisbane Airport BNE icon Brisbane Airport BNE 153 0
YOURTAXI - Driver App CH icon YOURTAXI - Driver App CH 153 0
Squark - Zero Clutter Currency icon Squark - Zero Clutter Currency 153 0
Pecorino & Pecorini - Farindol icon Pecorino & Pecorini - Farindol 153 0
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on 難読・面白地名辞典's tracker page for current rating, reviews and snapshot timeline.

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