Datasets:

electricsheepafrica
/

nigerian-telecom-mobile-money-transaction-records

license: gpl
task_categories:
  - text-classification
language:
  - en
tags:
  - telecom
  - mobile
  - money
  - transaction
size_categories:
  - 1M<n<10M

Mobile Money Transaction Records

Dataset Description

Peer to peer transfers, airtime purchases, and mobile payment records

Dataset Information

Category: Financial and Fraud
Format: CSV, Parquet
Rows: 1,000,000
Columns: 13
Date Generated: 2025-10-05
Location: data/mobile_money_transaction_records/

Schema

Column	Type	Sample Values
`transaction_id`	String	MM00000001
`timestamp`	Datetime	2025-09-12 18:47:16
`sender_phone`	String	+2348159451529
`receiver_phone`	String	+2349039860236
`operator`	String	Glo
`transaction_type`	String	bill_payment
`amount_ngn`	Integer	5517
`fee_ngn`	Float	124.91
`status`	String	pending
`channel`	String	app
`balance_before`	Float	37515.94
`balance_after`	Float	18595.32
`location`	String	Benin City

Sample Data

transaction_id           timestamp   sender_phone receiver_phone operator transaction_type  amount_ngn  fee_ngn     status channel  balance_before  balance_after   location
    MM00000001 2025-09-12 18:47:16 +2348159451529 +2349039860236      Glo     bill_payment        5517   124.91    pending     app        37515.94       18595.32 Benin City
    MM00000002 2025-09-24 17:43:38 +2348133792543 +2348172589959      MTN     bill_payment       57395   994.40 successful   agent        22322.77        5802.04      Abuja
    MM00000003 2025-09-06 16:55:00 +2348160959873 +2347030597691      MTN     bill_payment       53499  1070.36 successful     app        40528.92       42810.11        Jos

Nigerian Context

This dataset incorporates authentic Nigerian telecommunications characteristics:

Geographic Coverage: Major Nigerian cities including Lagos, Abuja, Kano, Port Harcourt, Ibadan
Operators: MTN, Airtel, Glo, 9mobile with realistic market shares
Phone Numbers: Nigerian format (+234 prefixes)
Currency: Nigerian Naira (NGN)
Time Zone: West Africa Time (WAT, UTC+1)
Network Types: 2G, 3G, 4G, 5G distribution

File Formats

CSV

data/mobile_money_transaction_records/mobile_money_transaction_records.csv

Parquet (Recommended)

data/mobile_money_transaction_records/mobile_money_transaction_records.parquet

Loading the Dataset

Python (Pandas)

import pandas as pd

# Load CSV
df = pd.read_csv('data/mobile_money_transaction_records/mobile_money_transaction_records.csv')

# Load Parquet (recommended for large datasets)
df = pd.read_parquet('data/mobile_money_transaction_records/mobile_money_transaction_records.parquet')

Python (PyArrow)

import pyarrow.parquet as pq

# Load Parquet
table = pq.read_table('data/mobile_money_transaction_records/mobile_money_transaction_records.parquet')
df = table.to_pandas()

License

MIT License - For educational and research purposes

Citation

Nigerian Telecom Datasets - Mobile Money Transaction Records
Generated: 2025-10-05
Category: Financial and Fraud
Rows: 1,000,000

Related Datasets

This dataset is part of the Nigerian Telecom Datasets collection, which includes 34 datasets covering network performance, customer behavior, financial transactions, infrastructure, geospatial data, customer experience, and emerging technologies.