All metrics › Stake & Validator Distribution
Top N Stake Share
Latest value: 24.3% on 3 November 2026.
30-day average: 24.6%, up 2.1 percentage points from a year earlier (22.4%).
Highest daily value since January 2025: 25% on 2 November 2026.
The default network series of the Explorer (top_10_stake_share_pct). Download the data (CSV)
Combined percentage of total network stake held by the top N validators. A key decentralization metric: higher concentration means fewer validators control the network's consensus; falling values means decentralization is improving.
Open the chart in the Explorer
- Area
- Stake & Validator Distribution
- Frequency
- Daily
- Unit
- Percent
- Split by
- Network
- Source
- Firedancer
Monthly averages
| Month | Top N Stake Share |
|---|---|
| November 2026 (to 3 November) | 24.7% |
| October 2026 | 24.5% |
| September 2026 | 24.3% |
| August 2026 | 24.3% |
| July 2026 | 24% |
| June 2026 | 23.7% |
| May 2026 | 23.5% |
| April 2026 | 23% |
| March 2026 | 22.9% |
| February 2026 | 23.1% |
| January 2026 | 23.5% |
| December 2025 | 22.8% |
What it shows
The percentage of total network active stake held by the top N validators (by stake), for N ∈ {1, 3, 5, 10, 25, 50, 100}. A direct concentration indicator: lower values signal more even stake distribution; rising values indicate stake is gravitating toward a smaller number of large validators.
How it is computed
Validators are ranked by active stake from largest to smallest. For each value of N (1, 3, 5, 10, 25, 50, or 100), the combined stake of the top N validators is divided by total network active stake and expressed as a percentage.
Aggregation: Single percentage per day per N value.
Things to know
- Only validators that produced at least one block and have a recorded active stake on that day enter the ranking.
- Lower values indicate more evenly distributed stake. Rising values indicate stake is concentrating among fewer large validators.
- Network view only; no client, scheduler, or country breakdown is available.
Full method and formula in the Methodology