An always-on podcast stream does not have one fixed monthly data total: usage depends mainly on its audio bitrate and how many hours it plays. As a practical example, Spotify’s stated podcast quality of about 96 kbit/s works out to roughly 31 GB over 30 days before network overhead; that is an example setting, not a measurement or specification for every live stream.
You can estimate your own stream with a short calculation, then compare the result with the fair-use terms on your Indian broadband plan. The figure on the plan, the stream’s actual bitrate and whether it includes video matter more than the word “unlimited”.
Why there is no single monthly data total
“Podcast live stream” can describe different things: a live audio feed, a recorded episode being played continuously, a radio-style playlist, or a video podcast watched as a stream. Each can use a different bitrate, and the app or player may choose a different quality from one listener to another. Without knowing the audio bitrate and listening duration, there is no single total that applies to all of them.
A useful starting point is to separate the stream’s encoded audio from the time it runs. A low-bitrate audio stream transfers fewer bits each second than a higher-quality stream. A stream played for all 24 hours of a day transfers more than one played for a few hours, even when the bitrate is identical.
Platform settings can provide examples, but they should not be mistaken for a universal live-stream setting. Spotify, for example, lists podcast quality at approximately 96 kbit/s on most devices and 128 kbit/s in its web player, and its low mobile or tablet setting at approximately 24 kbit/s. Those figures help show how bitrate changes the arithmetic; they do not tell you the bitrate of a YouTube broadcast, a radio stream, or another podcast app. See Spotify’s audio-quality guidance for the stated examples.
Also decide whether you mean data used by a listener or data sent by a broadcaster. This article estimates the audio stream received by a listener over broadband. If you are transmitting a YouTube stream from home, your outgoing data use depends on the upload bitrate and time on air; for that separate question, see the upload-speed considerations for a 24/7 church stream in India.
Estimate usage from bitrate and hours
A bitrate in kilobits per second tells you how many kilobits of encoded audio are sent each second. To estimate the payload for one hour, multiply the bitrate by 3,600 seconds, then divide by eight because eight bits make one byte. The result is in kilobytes when using decimal units. Divide by 1,000 again for megabytes.
The convenient formula is:
Approximate MB per hour = bitrate in kbit/s × 3,600 ÷ 8 ÷ 1,000.
This formula estimates the encoded audio payload. It is not a speed test, nor is it a promise about what a broadband provider will record on a particular account. Network transport, buffering, app traffic and differences in how services count data can make the transferred total somewhat higher. The calculation is useful because it makes the assumptions visible: if you know a stream’s bitrate, you can estimate the payload for your actual hours.
For an always-on month, first choose the period. A 30-day month contains 720 hours: 24 hours multiplied by 30. Multiply your hourly estimate by 24 for a day, or by 720 for a 30-day month. A calendar month can be shorter or longer than 30 days, so scale by the number of days you actually expect the stream to run.
Use decimal MB and GB for the worked examples below: 1,000 MB is treated as 1 GB. Devices and apps sometimes display binary units or round the result, so their display can differ slightly. The point is to have a planning estimate that is traceable to a bitrate, rather than to assume every audio stream consumes the same amount.
Worked example at 96 kbit/s
Spotify’s stated podcast quality of approximately 96 kbit/s gives a clear worked example. The hourly calculation is 96 × 3,600 ÷ 8 = 43,200 kB, or approximately 43.2 MB per hour. Rounded to a whole number, that is about 43 MB per hour of encoded audio.
For continuous playback, multiply 43.2 MB by 24 hours: about 1,037 MB, or approximately 1.04 GB per day. For 30 days, multiply the hourly figure by 720: 31,104 MB, or approximately 31.1 GB. This is the bitrate calculation before overhead, not an exact all-in monthly charge or an observed Indian broadband measurement.
The practical interpretation is straightforward: a listener who streams a source around this bitrate all day should plan for about 31 GB of audio payload in a 30-day period, then leave room for additional traffic. If the source runs only 12 hours a day, the estimate is half as many hours and half the payload, provided its bitrate stays constant. If the source switches quality, calculate each part separately and add the results.
This example is not evidence that every podcast live stream uses 96 kbit/s. A broadcaster may encode at a different bitrate, and the listener’s platform may re-encode or adapt the stream. Where the player shows a quality setting but not a bitrate, use the platform’s documentation cautiously and treat the result as an estimate rather than a measurement of your connection.
Worked example at 24 kbit/s
At Spotify’s stated low mobile or tablet podcast setting of approximately 24 kbit/s, the same calculation gives 24 × 3,600 ÷ 8 = 10,800 kB, or about 10.8 MB per hour. A full day is approximately 259 MB, and 720 hours comes to 7,776 MB, or about 7.8 GB for 30 days.
Compared with the 96 kbit/s example, the 24 kbit/s example has one quarter of the bitrate and therefore about one quarter of the calculated payload for the same hours. That may be useful when conserving data, but lower bitrate can reduce audio quality. Whether the difference is acceptable depends on the programme, speakers, music and listener’s connection; a spoken-word feed may have different needs from music, and listeners may not control the broadcaster’s encoding.
Again, these totals describe arithmetic applied to a Spotify setting. They are not universal live-podcast usage figures, and they do not include network overhead. If you operate the feed, confirm its actual encoding settings. If you are listening through an app, its selected quality and whether it changes quality automatically affect the result.
Convert hourly usage into daily and monthly totals
The table puts three Spotify bitrate examples on the same basis. Daily and monthly figures use the hourly payload multiplied by 24 and 720 respectively; rounding explains small differences between intermediate values. The 128 kbit/s row is calculated from Spotify’s web-player bitrate example, not a statement about every browser or stream.
| Bitrate example | Approx. per hour | Approx. per 24 hours | Approx. per 30 days |
|---|---|---|---|
| Spotify low podcast quality, about 24 kbit/s | 10.8 MB | 259 MB | 7.8 GB |
| Spotify podcast quality, about 96 kbit/s | 43.2 MB | 1.04 GB | 31.1 GB |
| Spotify web-player podcast quality, about 128 kbit/s | 57.6 MB | 1.38 GB | 41.5 GB |
For a schedule that is not 24/7, calculate the real hours rather than multiplying by a full month. For example, take the hourly figure and multiply by the number of hours the stream is actually played each day and by the number of days. If a station pauses overnight, those hours should not be counted as continuous playback. If more than one person or device is listening on the same broadband connection, estimate each stream separately and add the totals.
This same approach is useful for comparing two possible qualities. Write down each bitrate, then compare the payload at the same number of hours. A higher setting raises usage in proportion to the bitrate: if bitrate doubles and duration stays constant, the estimated encoded payload doubles. The estimate still needs room for overhead and any separate activity on the connection, such as video, downloads or software updates.
If you are planning a YouTube loop rather than audio-only playback, the video portion changes the calculation substantially, so an audio bitrate alone is not enough. Decisions such as frame rate are part of the wider encode; the guide to frame rate choices for 24/7 loops explains why a lower frame rate can be appropriate for some loops. Do not apply the audio-only table to a video stream.
Account for transport overhead and stream differences
The bitrate formula estimates the audio payload, not every byte that travels over the connection. Protocol headers, buffering, app requests and other network traffic can add data. There is no measured overhead factor in the evidence for a particular named live stream, so adding a made-up percentage would give a false sense of precision. Treat the table as a baseline and allow headroom in your plan comparison.
The source itself can also change. A broadcaster may use a constant bitrate or vary it; a platform may transcode the audio; and a player may select a lower or higher quality. Video is another category entirely: an audio-only mode omits video data, while a video podcast carries picture as well as sound. Spotify notes that audio-only playback of video podcasts omits the video stream, which is a useful distinction, but the resulting usage still depends on the service and stream.
Encoding choices also involve a quality trade-off. Apple Podcasts for Creators gives different audio bit-rate recommendations depending on channel count and sample rate, and notes that smaller bit rates make files smaller and more streaming-friendly while potentially introducing audible artefacts. This supports a general point about encoding, not a claim that every live broadcaster uses Apple’s recommended settings. The Apple audio requirements are a primary-source reference if you are preparing podcast audio.
If you broadcast a loop, distinguish the file stored for playback from the stream sent to listeners. File size alone does not tell you listener data use; the playback encoding bitrate and listening hours do. A static image with audio, for instance, still includes a video component when delivered as video. For playlist behaviour rather than data arithmetic, the article on streaming an FFmpeg playlist with a static image covers a related setup decision.
Interpret the India-specific comparison carefully
A response by PhiMetrics Technologies Pvt. Ltd. hosted on TRAI’s site gave a broad consumer example of 150–175 MB for one hour of “music or radio”. It was published in 2017 and is not podcast-specific, not tied to a named live service, and not a standardized test of a current Indian broadband connection. It is useful only as context: a general music-or-radio estimate can differ from the bitrate-derived Spotify examples, because the underlying assumptions may differ. The original TRAI-hosted response document gives that broad figure.
Do not use that figure as a correction to the 24 or 96 kbit/s calculations. The sources answer different questions: the Spotify examples state particular podcast quality bitrates, while the TRAI-hosted response gives a general hourly music-or-radio estimate. Neither establishes the actual usage of an unspecified live podcast stream. The best estimate for your case comes from the stream’s bitrate and duration, with an allowance for overhead.
The broadband plan is the other half of the decision. TRAI explains that an “unlimited” broadband offer may have a fair-use threshold after which the promised speed is reduced; providers must state the threshold and the speed after it is reached. That makes “unlimited” different from an assurance that data use never affects the service. Check the applicable plan conditions, including the threshold, any post-threshold speed and whether those terms apply to your connection type. See TRAI’s broadband FAQ.
TRAI’s consumer guidance also says providers should indicate typical download and upload speeds in tariff offers, rather than prescribing one universal speed for every subscriber in the cited FAQ. The tariff lookup can help you find filed plan details, but availability and terms depend on location, provider and connection type. Use the TRAI tariff portal alongside your provider’s current terms; do not assume a plan available elsewhere applies to your address.
For a home running a continuous channel, the simplest check is to compare a conservative monthly estimate with the plan’s stated fair-use allowance, then consider what happens to the connection after that threshold. If you are deciding how to keep a YouTube channel running when your own computer is off, a cloud-run file stream can remove the need to keep a household connection transmitting continuously; StreamNeo addresses that specific operational burden by taking an uploaded video and running it as a YouTube live stream. It is YouTube-only, so it is relevant to that broadcast use case rather than to someone merely listening to an audio podcast.
Before committing, compare the operating options on the pricing page. When the file and channel are ready, start free — 24-hour trial, no card.
FAQ
How many GB does 24/7 audio streaming use in a month?
There is no single total without a bitrate. As examples, Spotify’s stated 96 kbit/s podcast quality calculates to about 31.1 GB of audio payload over 30 days, while its approximately 24 kbit/s low setting calculates to about 7.8 GB. Actual transferred use can be higher because these estimates exclude overhead, and they are not universal live-stream measurements.
Is the 150–175 MB per hour figure for podcasts?
No. It is a broad music-or-radio estimate in a 2017 response by PhiMetrics Technologies hosted by TRAI, not a podcast-specific measurement or a test of a named live service. Use it as context only; estimate your stream from its own bitrate and hours.
Can an unlimited Indian broadband plan still slow down?
It may, if the plan has a fair-use threshold and a lower speed after that threshold. TRAI says providers must specify the threshold and post-threshold speed, so check the current terms for your own plan and location rather than relying on the word “unlimited”.
Does audio-only playback use less data than video?
Generally, audio-only playback avoids transferring the video stream, so it can use less data than watching the same programme with video. The exact difference depends on the service and its encoding; compare the actual audio or video bitrate where it is available rather than treating an audio estimate as a video estimate.