NSW Fires
Research answer
What AppTrendKit can say about NSW Fires today
AppTrendKit estimates NSW Fires's App Store USD gross consumer spend at $10K–$50K and downloads at 10K–50K during 2026-08-09 to 2026-09-07 (30-day window projected run rate) with storefront contributor coverage unavailable.
These are modeled public App Store estimates, not official publisher-reported figures. Storefront scope is stated only when persisted contributor lineage identifies it.
Performance
Downloads, revenue and chart history
Estimates for the last 30D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 30D
Projected10K–50K
Early estimate (1 day of data) · rough estimate
Estimated App Store gross consumer spend · 30D
Projected$10K–$50K
Early estimate (1 day of data) · rough estimate
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
- Free
- —
- Paid
- #76
- Grossing
- —
| Date | Free | Paid | Grossing |
|---|---|---|---|
| Sep 7, 2026 | — | #76 | — |
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution · 30D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
- Revenue range · 30D
- Under $5K
- Share
- 100.0%
- Downloads range · 30D
- Under 5K
- Rank
- —
- Coverage
- 3% · partial
- Confidence
- Low
| Storefront | Revenue range · 30D | Share | Downloads range · 30D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| AustraliaAU | Under $5K | 100.0% | Under 5K | — | 3% · partial | Low | Sep 7, 2026 |
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 5.1
- Released
- Jan 14, 2010
- Last updated
- Feb 13, 2026
- Content rating
- 4+
- Default storefront
- AU
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
This application is designed to provide up to date information about bush fire data in New South Wales, Australia. It utilises data from the NSW Rural Fire Service RSS feeds on fires with your current location provided by the iPhone GPS. Using this information the application is able to provide a list of fires showing the nearest ones first, helping you to understand your current situation. The information is reliant on both the accuracy of the iPhone GPS and the data recorded on the RFS's website. This application does not cache any data, so Internet access (either Wireless. 3G or GPRS) is required to access the data. Be aware that while P4G has utilised "best efforts" to provide this information to you, it is not intended to replace other sources of information on the fire situation near you. Also remember that fire and weather can change quickly. All data is provided Copyright from the NSW Rural Fire Service. Follow P4G on twitter at P4G_Apps
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
QLD Fires
P4G Pty Ltd
SA Fires
P4G Pty Ltd
VIC Fires
P4G Pty Ltd
Burlington Free Press
Gannett
다음 - Daum
Daum Corp.
Foreign Policy News & Analysis
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KQTV Breaking Local News
News-Press & Gazette Company
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YENI GUN HABER AJANSI BASIN VE YAYINCILIK ANONIM SIRKETI
How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 29, 2026, 8:29 AM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: public-signal-ensemble-v2.
Confidence: Low; intervals widen when evidence or history is limited.
Last updated: Sep 29, 2026, 8:29 AM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology