On This Page:
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
What is Bank Statement Data?
Bank statement data is detailed information and transactions recorded in a person or company’s bank statement. It includes records of deposits, withdrawals, transfers, and other financial activities within a specific period. Bank statement data provides a comprehensive overview of an individual or organization’s financial transactions, allowing for analysis, reconciliation, and monitoring of their financial health.
Examples of bank statement data include information such as account balances, transaction history, deposits, withdrawals, and interest earned. Bank statement data is used by individuals and businesses for various purposes, including budgeting, financial analysis, tax preparation, and auditing. In this page, you’ll find the best data sources for bank statement data.
Best Bank Statement Databases & Datasets
Here is our curated selection of top Bank Statement Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Envestnet | Yodlee's De-Identified Bank Statement Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
TagX - Synthetic Bank Statements Data | Savings account / Checking accounts / Business accounts | Global coverage
Envestnet | Yodlee's De-Identified Bank Statement Research Panel | USA Employee Payroll Data covering 4800+ employers | Cohort Analysis
TagX - Transactions data | Consumer Spending data | Bank Transaction data
September 2021 – 2K Bank Account Transactions 18-35 year old in Germany | GDPR-compliant
Company Financial Data | Multi-Source Docs | Extraction & Structuring (100+ Languages, 5K Docs/Hour) | Standardized Outputs | Compliance & Analysis
US Financial Institutions (Banks, Credit Unions, Insurers)
Synthetic Dataset for AI - Jpeg, PNG & PDF
ISS ESG Raw Data Globally (89 factors, 54 raw data points)
U.S. P&C Insurance Ratings of Business Quality & Operational Efficiency by Hoeg & Company
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Popular Use Cases for Bank Statement Data
Bank Statement Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Bank Statement Data.
Main Attributes of Bank Statement Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 1 datasets | |
| String | The compensation of a job. | View 1 datasets | |
| String | The Zone Improvement Plan (ZIP) code of an address. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Bank Statement Data Maintained?
The quality of Bank Statement Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Bank Statement Data Updated?
The update frequency for Bank Statement Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Bank Statement Data Secure?
The security of Bank Statement Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Bank Statement Data Delivered?
Bank Statement Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Bank Statement Data.
How Much Does Bank Statement Data Cost?
The cost of Bank Statement Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Bank Statement Data for your needs.
What Are Similar Data Types to Bank Statement Data?
Bank Statement Data is similar to other data types, such as Point-of-Sale (POS) Data, Consumer Transaction Data, Bank Transaction Data, Sales Transaction Data, and B2B Transaction Data. These related categories are often used together for applications like Artificial Intelligence (AI).
