> ## Documentation Index
> Fetch the complete documentation index at: https://docs.brightdata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Marketplace fill rates

> Review per-field fill rates, record counts and data freshness on the Statistics tab of any Bright Data Marketplace dataset (250+ domains) before purchase.

Every Bright Data Marketplace dataset page exposes a Statistics tab with field-level fill rates, the total record count and a freshness indicator. Review these before purchase to confirm the dataset meets your requirements.

## What are fill rates?

A fill rate is the percentage of records in a dataset where a specific field is populated. A fill rate of 100 percent means every record contains a value for that field. A lower fill rate means some records are missing values for that field.

Fill rates vary depending on:

* The dataset type (social media, B2B, eCommerce)
* The source quality and what is publicly available
* The specific field being measured (email, phone number, location)

## Where to find fill rates

Fill rates and statistics are shown on each dataset's page in the Marketplace.

<Steps>
  <Step title="Open the Marketplace">
    In the Bright Data Control Panel, go to **Dataset Marketplace**.
  </Step>

  <Step title="Select a dataset">
    Open the dataset whose coverage you want to review.
  </Step>

  <Step title="Open the Statistics tab">
    Navigate to the **Statistics** tab to view field-level fill rates and record counts.
  </Step>
</Steps>

## What statistics are available?

For each dataset you can review:

* **Fill rate per field**: percentage of records with a value
* **Record count**: total number of available records
* **Freshness**: how recently the data was collected

## Why do some fields have low fill rates?

Some fields have lower fill rates because of limitations or gaps in the publicly available source data. For example, phone numbers and email addresses are not always publicly listed, so contact fields commonly show lower fill rates than name or location fields.

<Tip>
  Always review fill rates before purchasing to confirm the data meets your specific requirements.
</Tip>