Key Takeaways
- Staking concentration Nakamoto Coefficient: 4 pools control 51% Oct 2024
- Lido market share of staked ETH: 28.9% Oct 10, 2024
- Top 3 pools share: 45.2% of total staked ETH Oct 2024
- Validator activation queue length: 89,234 validators waiting Oct 10, 2024
- Estimated activation time for new validator: 14.2 days avg Oct 2024
- Daily churn limit reached: 100% on 12 days in Sept 2024
- Ethereum annual staking yield averaged 4.2% in Q3 2024
- Current staking APY: 3.18% as of Oct 10, 2024
- Consensus rewards annualized: 2.8% for solo stakers Oct 2024
- Total ETH staked on Ethereum reached 34,120,456 ETH as of October 10, 2024
- Ethereum staked ETH supply percentage stands at 28.3% of total supply on Oct 10, 2024
- USD value of all staked ETH approximated at $85.4 billion on Oct 10, 2024
- Active Ethereum validators total 1,045,678 as of October 10, 2024
- Solo stakers validator count: 312,456 on Oct 10, 2024
- Total validator keys deposited: 2.3 million since Genesis
Ethereum staking is still highly concentrated, with Lido and the top pools holding most staked ETH.
Related reading
01 · Category
Distribution and Pools19 stats
Distribution and Pools Interpretation
02 · Category
Queue and Activation22 stats
Queue and Activation Interpretation
03 · Category
Rewards and APY20 stats
Rewards and APY Interpretation
04 · Category
Staking Amounts24 stats
Staking Amounts Interpretation
05 · Category
Validator Numbers22 stats
Validator Numbers Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Christopher Morgan. (2026, February 24). Ethereum Staking Statistics. Gitnux. https://gitnux.org/ethereum-staking-statistics
Christopher Morgan. "Ethereum Staking Statistics." Gitnux, 24 Feb 2026, https://gitnux.org/ethereum-staking-statistics.
Christopher Morgan. 2026. "Ethereum Staking Statistics." Gitnux. https://gitnux.org/ethereum-staking-statistics.
Sources & references
22 datasets cited across this report · attribution is report-level

