---
license: cc-by-nc-4.0
task_categories:
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - synthetic
  - test-data
  - mock-data
  - customer-data
  - tabular
  - faker
size_categories:
  - 10M<n<100M
pretty_name: Free Synthetic Customer Data (50M)
---

# Free Synthetic Customer Data — 50M Rows

A free, fully synthetic dataset of **50,000,000 customer/user records**, generated for developers and builders who need realistic-looking test data without touching any real personal information.

Every value in this dataset is **artificially generated**. No real people, no scraped data, no real PII. It's built for seeding databases, load-testing APIs, prototyping apps, testing ETL pipelines, and demoing software with data that *looks* real but isn't.

## Schema

| Column | Type | Description |
|---|---|---|
| `full_name` | string | Synthetic first + last name |
| `email` | string | Synthetic email address (name-derived) |
| `street_address` | string | Synthetic street number + name |
| `city` | string | Synthetic city name |
| `state` | string | US state abbreviation (2-letter) |
| `zip_code` | string | 5-digit US-style postal code |
| `phone` | string | US-style phone number, `(NXX) NXX-XXXX` format |
| `signup_date` | string | ISO date (`YYYY-MM-DD`), spread across ~6 years |
| `account_status` | string | One of: `active`, `inactive`, `trial`, `suspended` |

**Account status distribution (approx):** active 65%, inactive 15%, trial 12%, suspended 8%.

## Format

- **Apache Parquet**, Snappy compression
- One file, ~2.8 GB, 50,000,000 rows
- Loads cleanly with pandas, polars, DuckDB, PyArrow, or the `datasets` library

## Quick start

```python
import pandas as pd

df = pd.read_parquet("synthetic_users_50M.parquet")
print(df.head())
```

Or with the `datasets` library:

```python
from datasets import load_dataset

ds = load_dataset("ziadatalabs/FreeSyntheticCustomerData50M")
```

Or with DuckDB (great for querying without loading it all into memory):

```sql
SELECT account_status, count(*)
FROM 'synthetic_users_50M.parquet'
GROUP BY account_status;
```

## Notes

- All data is synthetic and generated programmatically. Any resemblance to real individuals is coincidental.
- Emails, addresses, and phone numbers follow realistic *formats* but are not real, deliverable, or dialable.
- This is the first of several free synthetic datasets planned for builders — more types coming.

## License & Usage

Released under **CC BY-NC 4.0** — free for personal, research, and educational use, with attribution, **no commercial use**. See [the license](https://creativecommons.org/licenses/by-nc/4.0/) for details.

---

*Published by Zia Data Labs. We create synthetic data — and we give some of it away free, because good test data shouldn't be hard to find.*

*Feedback, comments, or requests? Reach us at zia.data.team@protonmail.com*