---
license: cc0-1.0
language:
- en
tags:
- government
- philippines
- taxation
- revenue
- bir
- finance
size_categories:
- 1K<n<10K
---

# BIR Tax Collection Dataset

## Dataset Description

This dataset contains monthly tax collection data from the Bureau of Internal Revenue (BIR) of the Philippines. It includes 6,000 records of tax collections aggregated by region and area (city/municipality) on a monthly basis from 2020 to 2024. The dataset provides granular visibility into tax revenue generation across different geographic areas in the Philippines over a five-year period.

### Languages

The dataset contains text in English (en-PH) following Philippine geographic naming conventions.

## Dataset Structure

### Data Instances

```json
{
  "id": "776a8f51-5d95-47a7-940d-983734837604",
  "region": "National Capital Region (NCR)",
  "area": "City of Caloocan",
  "month": "January",
  "year": 2020,
  "amount": 600.79,
  "created_at": "2025-12-03T06:36:19.956875Z"
}
```

### Data Fields

- `id` (uuid): Unique identifier for each record using UUID format
- `region` (string): Philippine region name (e.g., "National Capital Region (NCR)", "Region I", etc.)
- `area` (string): City or municipality name within the region (e.g., "City of Caloocan", "City of Manila")
- `month` (string): Month name (January through December)
- `year` (int32): Year of the tax collection (2020-2024)
- `amount` (decimal128): Tax collection amount in millions of Philippine Pesos (PHP), with 2 decimal places
- `created_at` (timestamp[us, tz=UTC]): Timestamp when the record was created in the dataset (UTC timezone)

Note: The `amount` field represents tax collections in millions of PHP. For example, an amount of 600.79 represents PHP 600,790,000 or approximately 600.79 million pesos.

### Data Splits

This dataset does not have predefined train/validation/test splits. It represents a complete time series of monthly tax collections from 2020 to 2024.

## Dataset Creation

### Source Data

The data was sourced from the Bureau of Internal Revenue (BIR), the data was normalized into a structured format with standardized region and area names, converted to a consistent decimal format for amounts, and organized chronologically by month and year.

### Annotations

#### Annotation process

No additional annotations were added beyond the original BIR data structure. The dataset preserves the geographic classifications (regions and areas) as reported by the BIR.

### Personal and Sensitive Information

This dataset does not contain personal information. It consists of aggregate tax collection amounts by geographic area and time period.

## Additional Information

### Licensing Information

This dataset is licensed under the CC0 1.0 Universal license. This means you can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.