The average smartphone user checks the weather 2-4 times per day. That frequency, combined with near-universal installation rates, makes weather apps one of the most valuable real estate in the mobile advertising economy. Not because weather data is expensive to provide – it is largely free, generated by taxpayer-funded meteorological agencies – but because weather apps have something far more valuable than forecast accuracy: your location, your routine, and your attention, served on a predictable schedule.
A 2023 analysis by Lockdown Privacy found that the top 10 free weather apps on the App Store contacted an average of 14 tracking domains per session. One popular app contacted 42 distinct third-party trackers on a single launch. The weather forecast itself – the ostensible purpose of the app – required exactly one network request to one API endpoint. The other 41 connections existed solely to monetize the user.
This comparison examines what popular free weather apps actually do with your data, how accurate their forecasts really are, and what alternatives exist for people who want weather without surveillance.
How Weather App Tracking Works
Understanding the tracking mechanisms helps evaluate any weather app, not just the ones compared here.
Location Data: The Primary Asset
Weather apps have a unique advantage in the data economy: users voluntarily grant them location permission. This is entirely reasonable – you need to tell a weather app where you are to get a local forecast. But the gap between what location access is needed for (your city-level location, once per session) and what is often collected (GPS-precise coordinates, continuously, in the background) is enormous.
iOS offers three location permission tiers:
- Never: The app cannot access your location at all
- While Using the App: Location access only when the app is in the foreground
- Always: Location access continuously, including in the background when the app is closed
For weather forecasting, “While Using” is sufficient. City-level precision (approximately 1-3 km) is the finest granularity any weather API supports. The National Weather Service forecast grid is 2.5 km resolution. There is no meteorological reason for a weather app to know your GPS coordinates to within 3 meters.
Yet many free weather apps request “Always” permission and present it as necessary for basic functionality. Background location access enables continuous tracking – logging where you go throughout the day, how long you stay, and what routes you take. Over weeks, this creates a detailed behavioral profile: your home, your workplace, your gym, your children’s school, your doctor’s office, and every deviation from your routine.
Advertising SDKs: The Hidden Passengers
Free weather apps monetize through advertising, and modern mobile advertising is a surveillance apparatus. When a weather app displays a banner ad, the ad SDK embedded in the app transmits a data payload to the ad network that typically includes:
- Device advertising identifier (IDFA on iOS, GAID on Android)
- GPS coordinates (if location permission is granted)
- IP address
- Device model and OS version
- Screen resolution
- Network carrier and connection type
- Language and region settings
- Timestamp
This payload is sent with every ad impression – typically 3-8 times per app session, multiplied by however many times you check the weather. The ad network uses this data to build a persistent profile that follows you across every app using the same ad network.
The Interactive Advertising Bureau’s (IAB) OpenRTB specification documents this data flow in detail. The “bid request” that advertisers receive when competing to show you an ad can include location data accurate to 5 decimal places (approximately 1 meter precision), a list of installed apps, and behavioral segments assigned by the data broker.
Data Broker Pipelines
Beyond ad networks, some weather apps have direct data-sharing agreements with data brokers – companies that aggregate and resell consumer data to advertisers, retailers, hedge funds, political campaigns, and government agencies.
Location data from weather apps has been documented flowing to companies like X-Mode Social (now Outlogic), Placer.ai, and SafeGraph. A 2020 Vice Motherboard investigation found that location data harvested from prayer and weather apps was being purchased by U.S. military intelligence agencies, bypassing the warrant requirements that would apply to direct government surveillance.
The FTC has taken action against some of these practices. In 2024, it fined X-Mode $10 million for selling precise location data harvested from apps including weather services. But enforcement is reactive and sporadic – the data economy moves faster than regulation.
App-by-App Privacy Comparison
The Weather Channel (IBM)
Privacy track record: In 2019, the Los Angeles city attorney sued The Weather Channel for secretly tracking users’ locations and selling the data to hedge funds and advertisers while telling users location access was only for forecasts. The case was settled, but the underlying business model continued with modified disclosures.
Current data practices: The Weather Channel’s App Store privacy label (as of early 2026) lists data collection including: precise location, coarse location, browsing history, device identifiers, advertising data, and usage data. Data is shared with third parties for advertising.
Trackers observed: Network analysis shows connections to Google DoubleClick, Facebook Audience Network, Amazon Advertising, and several smaller ad networks per session.
Accuracy: Uses IBM’s proprietary GRAF model, which runs at 3 km global resolution. Accuracy is generally good for 1-3 day forecasts, with performance comparable to NWS in the continental US.
AccuWeather
Privacy track record: In 2017, security researcher Will Strafach discovered that AccuWeather was sending users’ precise GPS coordinates to a third-party data monetization firm called Reveal Mobile even when users denied the app location permission. AccuWeather was using Wi-Fi router information to triangulate position as a workaround. The company initially denied the behavior, then acknowledged it after the technical evidence was published.
Current data practices: AccuWeather’s privacy label lists precise location, identifiers, usage data, and diagnostics as collected and linked to identity. Third-party advertising data sharing is disclosed.
Trackers observed: Multiple ad networks and analytics providers contacted per session.
Accuracy: AccuWeather’s proprietary “MinuteCast” precipitation forecast provides minute-by-minute rain predictions for the next two hours, which is genuinely useful and competitive with radar-based nowcasting services.
Apple Weather (Built-in)
Privacy track record: Apple Weather uses the Dark Sky API (which Apple acquired in 2020) and Apple’s own forecast model. Apple’s stated policy is that weather requests are not associated with Apple ID and location data used for weather is obfuscated and not stored.
Current data practices: Apple Weather does not display ads and does not share data with third-party advertisers. Location is used only for forecast retrieval and is processed with Apple’s standard privacy protections (randomized identifiers, on-device processing where possible).
Trackers observed: Network analysis shows connections only to Apple’s own weather API endpoints. No third-party tracker connections.
Accuracy: Solid for general forecasts. Apple Weather’s hyperlocal precipitation data (inherited from Dark Sky) is strong for rain predictions in the next 1-2 hours. Multi-day forecast accuracy is on par with NWS for US locations, somewhat less consistent internationally.
Limitations: No severe weather push notifications in all regions. Limited weather map features compared to dedicated weather apps. No weather radar animation in some markets.
Weather Underground
Privacy track record: Owned by The Weather Company (IBM subsidiary). Uses a network of personal weather stations (PWS) to supplement professional station data, which provides genuinely better hyperlocal data in areas with good PWS coverage. However, the app’s ad-supported model involves the same tracking infrastructure as The Weather Channel.
Current data practices: Similar to The Weather Channel – advertising-supported with third-party data sharing.
Accuracy: Often considered the most accurate for hyperlocal conditions, thanks to the PWS network. However, accuracy depends heavily on local PWS density and calibration. In areas without nearby personal stations, accuracy is comparable to other apps using NWS data.
Carrot Weather
Privacy track record: Independent developer, not owned by an advertising company. No ads. Revenue comes from one-time purchase and optional premium subscription.
Current data practices: No advertising SDKs. Uses Dark Sky (Apple) and other weather APIs for data. Location is sent to the weather API provider for forecast retrieval; no additional data collection.
Trackers observed: No third-party trackers. Network traffic goes only to weather API endpoints.
Accuracy: Depends on which data source is selected. Users can choose between multiple providers, which is a unique advantage for comparing forecasts.
Limitations: Premium features require subscription ($20/year for full features). The personality-driven interface is polarizing.
The Privacy-Accuracy Comparison Table
| App | Price | Ads | Third-Party Trackers | Location Permission Needed | Data Sharing | Forecast Accuracy (1-3 day) |
|---|---|---|---|---|---|---|
| The Weather Channel | Free | Yes (heavy) | 10+ per session | Always requested | Extensive | Good |
| AccuWeather | Free | Yes | Multiple | Always requested | Extensive | Good (excellent MinuteCast) |
| Apple Weather | Free (built-in) | None | None | While Using | None disclosed | Good |
| Weather Underground | Free | Yes | Multiple | Always requested | Extensive | Very good (with PWS) |
| Carrot Weather | $5 + optional sub | None | None | While Using | None to advertisers | Good (source-dependent) |
What “Free” Really Costs
The advertising revenue generated per user by free weather apps provides some perspective on what “free” actually means.
Industry analyses estimate that a single active daily weather app user generates $4-12 per year in advertising revenue. The location data, sold separately through data broker channels, can add another $2-5 per year per user. For a major weather app with 50 million active users, this adds up to hundreds of millions of dollars annually.
To put it differently: if you use a free, ad-supported weather app for 5 years, you have contributed roughly $30-85 in advertising and data revenue. The forecast data that the app displays to you was free to begin with – it came from government meteorological agencies funded by your tax dollars. The “product” the weather app sells is not the forecast. It is you.
The Accuracy Myth
A common defense of free weather apps is that they are “more accurate.” In practice, forecast accuracy differences between major weather apps are minimal for the forecasts most people actually use (today, tomorrow, and the next few days).
All major weather apps in the US derive their base forecast data from the same sources: the National Weather Service’s Global Forecast System (GFS) model and/or the European Centre for Medium-Range Weather Forecasts (ECMWF) model. The raw forecast data from these models is publicly available and free. Apps differentiate through post-processing (statistical corrections, local adjustments) and presentation, but the underlying prediction is the same.
A 2023 study by ForecastAdvisor comparing forecast accuracy across major weather providers found that for next-day temperature forecasts, the spread between the most and least accurate major providers was approximately 1.5 degrees Fahrenheit. For precipitation probability, the spread was roughly 5 percentage points. These differences are within the margin of error for any individual forecast – they are statistically measurable across thousands of forecasts but functionally irrelevant for deciding whether to carry an umbrella tomorrow.
The practical implication: you are not trading meaningful accuracy for privacy when you switch from a tracking-heavy weather app to a privacy-respecting one. The forecast is essentially the same. The difference is in how much of your life you hand over to get it.
Weather Data Sources: What’s Free and Public
Understanding where weather data comes from demystifies the weather app market:
National Weather Service (NWS)
The NWS is funded by US taxpayers and provides its data freely. The weather.gov API delivers forecasts, observations, radar imagery, and severe weather alerts with no authentication required. Any app can display NWS data. Any person can access weather.gov directly in a browser.
European Centre for Medium-Range Weather Forecasts (ECMWF)
Often considered the most accurate global forecast model, the ECMWF opened its data to public access in 2022. Previously restricted to meteorological agencies, ECMWF forecasts are now available through its open data platform.
Open-Meteo
An open-source weather API that aggregates data from NWS, ECMWF, and other public meteorological agencies. It provides free access with no API key required for non-commercial use, and its accuracy matches any commercial weather app for standard forecast data.
Apple WeatherKit
Apple’s weather service (built on Dark Sky’s technology) is available to developers at no cost for up to 500,000 API calls per month. This makes it viable for small apps to deliver high-quality weather data without needing advertising revenue to cover API costs.
The point is not that building a weather app is trivial – good presentation, reliable alerts, and intuitive design all require real work. But the forecast data itself, which is the core value proposition, is free and public. An app that demands extensive personal data in exchange for displaying free data is not offering a fair trade.
A Privacy-First Alternative
YAWA (Yet Another Weather App) takes the architectural position that a weather app should deliver weather and nothing else. No advertising. No tracking SDKs. No background location access. No data broker relationships.
The app requests location only when opened (the “While Using” permission tier), uses it to fetch a forecast from a weather API, and does not retain or transmit location data beyond that single request. No analytics, no device fingerprinting, no user profiling.
The trade-off is straightforward: YAWA does not have animated radar maps, extended 15-day forecasts, or minute-by-minute precipitation timelines. It provides the core weather information most people check multiple times per day – current conditions, today’s forecast, and the next several days – without the surveillance infrastructure that major free weather apps build around that same data.
For a more detailed look at how weather app tracking works and how to reduce your exposure, see the full guide on checking weather without ads or tracking.
How to Evaluate Any Weather App’s Privacy
Regardless of which app you choose, here is a framework for assessing its privacy practices:
Check the App Store privacy label. Apple requires developers to disclose what data they collect. Look specifically for: “Data Used to Track You” (the worst category – this means data is linked to your identity across other companies’ apps and websites), “Data Linked to You” (associated with your account), and “Data Not Linked to You” (anonymized or aggregated). A weather app listing extensive tracking data is a red flag.
Check location permission requests. If a weather app asks for “Always” location permission on first launch, it wants to track you in the background. A legitimate weather app works perfectly with “While Using” permission. Grant only that.
Count the network connections. Tools like Lockdown Privacy (free, open-source app for iOS) or Little Snitch (macOS) show exactly which domains an app contacts. A weather app should connect to one or two weather API endpoints. If it connects to 10+ domains including ad networks and analytics services, you are being tracked.
Read the privacy policy. Specifically look for language about “third-party partners,” “advertising networks,” “data sharing for personalization,” and “aggregate data.” These phrases typically indicate that your data is being sold or shared with advertisers and data brokers.
Check the business model. If the app is free and ad-supported, you are the product. If it has a one-time purchase price or subscription with no ads, the developer’s incentive aligns with your interests rather than advertisers’. If it is a built-in system app (Apple Weather), the platform’s broader privacy stance applies.
The choice is not between accurate weather and private weather. It is between getting your free, publicly-funded forecast through an app that respects your data and getting the same forecast through an app that monetizes your daily movements. The weather is the same either way. The difference is what you pay for it.