SPSTEAMPULSELIVE ANALYTICS
世阳教你学防灾Shiyang teaches you to learn disaster prevention

世阳教你学防灾Shiyang teaches you to learn disaster prevention regional audience

ChemBlock | Apr 3, 2017 | game

Released

0players observed · 5 October 2026 - 17:13:10 UTC

ActionAdventureRPGSimulationRPGMakerSteam Store

  • Latest observed playersNot available
  • SteamPulse tracked peak1
  • Units sold (VGI)No data available
  • Revenue (VGI)No data available
  • Review score54% positive

世阳教你学防灾Shiyang teaches you to learn disaster prevention regional data compares SteamPulse audience signals across players, reviewers, followers, and wishlist activity where country-level samples exist.

  • Latest observed playersNot available
  • SteamPulse tracked peak1
  • Units sold (VGI)No data available
  • Revenue (VGI)No data available
  • Review score54% positive
  • Total reviews13
  • Release dateApr 3, 2017
  • DeveloperChemBlock
  • PublisherChemBlock

Genres: Action, Adventure, RPG, Simulation

Company pages: Developer: ChemBlockPublisher: ChemBlock

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世阳教你学防灾Shiyang teaches you to learn disaster prevention regional audience

世阳教你学防灾Shiyang teaches you to learn disaster prevention regional data compares SteamPulse audience signals across players, reviewers, followers, and wishlist activity where country-level samples exist.

Region

The reviewer view for 世阳教你学防灾Shiyang teaches you to learn disaster prevention is based on an identified sample of public reviewers. Player, follower, and wishlist geography are directional models that use public reviewer geography and available game-level signals; they are not exact country-by-country account counts.

Use the tabs to compare relative geographic shares and check each view's confidence label. Modeled percentages should be treated as directional context, especially when the identified reviewer sample is small or contains unknown locations.

Regional Audience Explorer

Open a tab to inspect the full country ranking, the highlighted world map, and the current base or identified sample behind each region view.

Top Players Region Overview

SteamPulse's directional player-region model for 世阳教你学防灾Shiyang teaches you to learn disaster prevention assigns its largest shares to China (50.8%), Brazil (14%), United States (7.7%). The model blends the available public-reviewer geography, reviewer playtime signals, current player scale, and a disclosed Steam market prior. The dataset labels confidence as exploratory.

These percentages are relative model weights, not observed locations or verified counts of active players. Use the map to compare the model's country distribution, not to infer exactly how many people are playing in any country.

Reviewers Region Overview

世阳教你学防灾Shiyang teaches you to learn disaster prevention's identified public-reviewer sample spans 2 countries and is led by China (80%), Brazil (20%). China accounts for 80% of reviewers with an identified country (4 reviewers).

This is an observed sample of 5 public reviewer profiles with visible country data, not a census of all reviewers, owners, or players. Another 4 sampled reviewer profiles did not expose a country and are excluded from the percentages. The dataset labels confidence as exploratory.

Followers Region Overview

SteamPulse's directional follower-region model for 世阳教你学防灾Shiyang teaches you to learn disaster prevention assigns its largest shares to China (60.2%), Brazil (14.1%), United States (6.4%). It blends the modeled player and wishlist distributions with the available public-reviewer geography. The dataset labels confidence as exploratory.

Steam does not publish account-level follower locations for this view. The percentages are normalized model weights, not observed follower counts, and they should not be read as proof of attention or future activity in a country.

Wishlist Region Overview

SteamPulse's directional wishlist-region model for 世阳教你学防灾Shiyang teaches you to learn disaster prevention assigns its largest shares to China (42.7%), Brazil (12.2%), United States (9.8%). It combines the modeled player distribution, available public-reviewer geography, review penetration, release recency, and a disclosed market prior. The dataset labels confidence as exploratory.

Steam does not publish account-level wishlist locations for this view. The percentages are normalized model weights, not observed wishlist counts or evidence of purchase intent, and should be used only to compare the model's relative country distribution.

Player Region Distribution

CountryModeled share
China50.8%
Brazil14.0%
United States7.7%
Russia3.4%
Germany2.6%
United Kingdom2.1%

Directional model - exploratory confidence; percentages are estimates, not counted accounts.

Wishlist Region Distribution

CountryModeled share
China42.7%
Brazil12.2%
United States9.8%
Russia4.4%
Germany3.3%
United Kingdom2.7%

Directional model - exploratory confidence; percentages are estimates, not counted accounts.

Reviewer Region Distribution

CountryIdentified reviewersShare
China480.0%
Brazil120.0%

Observed public-reviewer sample: 5 identified accounts - exploratory confidence

Follower Region Distribution

CountryModeled share
China60.2%
Brazil14.1%
United States6.4%
Russia2.6%
Germany1.9%
United Kingdom1.5%

Directional model - exploratory confidence; percentages are estimates, not counted accounts.

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