Network participants process transactions and receive fees from users (supply-side fees).

Polkadot is a security & interoperability platform for blockchains and applications. Polkadot was founded by Gavin Wood and launched in 2020.

DOT holders own and govern the protocol. They currently take a cut of the total transaction fees paid by users (revenue). Polkadot’s investors include Polychain, IOSG Ventures, Hashkey, etc.

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etherscan

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Blockchains (L1)

Polkadot

# Polkadot Token holders Methodology

## 1. Overview

The Polkadot token holders metric measures the total number of unique addresses that hold native DOT tokens at any given point in time. This metric provides insight into the distribution and adoption of DOT tokens across the Polkadot ecosystem. The calculation counts distinct addresses with non-zero DOT balances, aggregated over daily, weekly, or monthly time periods to track holder growth and retention trends.

## 2. Data sources

The calculation relies on the following raw data sources:
- **Polkadot chain state data**: Account balance records from Polkadot's native account system tracking DOT token holdings
- **Account state snapshots**: Periodic exports of all account balances on the Polkadot network
- **Native balance records**: DOT token balance data for all addresses on the Polkadot blockchain
- **Chain availability metadata**: Data quality indicators to ensure complete and reliable blockchain data coverage

## 3. Step-by-step calculation

### Component A: Native token holder identification
- **Purpose**: Identifies and counts unique addresses holding DOT tokens
- **Logic**: The process extracts account balance data from Polkadot's native account system, focusing specifically on DOT token holdings. Only accounts with positive (non-zero) DOT balances are considered active token holders. The system filters out addresses with zero balances or inactive accounts to provide an accurate count of actual token holders.
- **Key fields**: The `tokenholders` field contains the distinct count of addresses, while `timestamp` and `timestamp_grain` fields establish the time boundaries for aggregation. The `chain` field identifies this as Polkadot chain data.

### Component B: Data standardization and precision handling
- **Purpose**: Ensures numerical precision and standardizes output format
- **Logic**: The raw token holder count is cast to high-precision numeric format to handle large numbers accurately and prevent overflow issues. This step also applies the finalization macro which adds standardized metadata fields, data quality indicators, and ensures consistent formatting across all Token Terminal metrics.
- **Key fields**: The `tokenholders` field is converted to `bignumeric` type for precision, while standardized metadata fields are added including data source identifiers and quality flags.

### Final aggregation
- **Combining components**: The native token holder counts are processed through the finalization macro to add standard metadata and quality controls
- **Time aggregation**: Data is aggregated according to the specified `timestamp_grain` (daily, weekly, or monthly boundaries) to provide consistent reporting periods
- **Data quality filtering**: Chain availability filters are applied to exclude time periods where blockchain data may be incomplete or unreliable
- **Final calculation**: The final metric represents the count of distinct addresses holding non-zero amounts of DOT tokens for each time period, ensuring accurate measurement of Polkadot's token holder base

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Unique addresses holding a non-zero balance of the project's native token.

PolkadotDOT

Token holders

Token holders

Competitive landscape

Chain breakdown