bitunix

Lightning Network Median Channel Capacity

Range
  • 1M1M
  • 3M3M
  • 6M6M
  • 1Y1Y
  • ALLALL
Scale
  • LinearLinear
  • LogLog
Latest
0.01
2026-10-27 · 0.01 · BTC
1D change
0.00%
Prev. 0.01
7D change
0.00%
Prev. 0.01
30D change
0.00%
Prev. 0.01
4Y percentile
5%
All history 53%
All-time high
0.0241
2023-05-04 · -58.52%
1Y range
0.01 – 0.015
Since 2018-01-26
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About this metric

What it measures

Lightning Network Median Channel Capacity ranks observed public channels by funded BTC capacity and takes the middle value. Each channel has equal weight, so the result in BTC describes a typical channel size rather than where most network funds sit.

How to read it

A higher median means the midpoint of public channel funding has moved up; a falling median means smaller channels have become more prominent around that midpoint. The recorded peak was about 0.02411 BTC on May 4, 2023, while the observation on October 17, 2026 was 0.01 BTC.

The median resists the influence of a few very large channels but can move in steps when many channels cluster at common funding sizes. It excludes private channels and cannot reveal directional balances, channel use or payment success. Compare with the mean to understand the larger-channel tail.

Frequency
Daily (UTC 00:00)
Asset
BTC
Type
Single value
Unit
BTC
Data since
2018-01-26
Latest data
2026-10-27
Data points
3,197

FAQ

Why can median channel capacity be far below the mean?

The median ranks channels equally, while large funded channels pull up the mean. On October 17, 2026, the median was 0.01 BTC and the mean about 0.09064 BTC, indicating a substantial larger-channel tail.

Is median channel capacity the capacity of the median node?

No. It ranks channels, not nodes. One node can participate in many channels, so a node-level capacity distribution is a different calculation.

Does a 0.01 BTC median mean half the network’s funds are below that size?

No. It splits channels by count, not BTC capacity by value. A small number of large channels can contain much of the funding even when the median channel is small.