Credit Card Transaction Aggregates

Anonymized and aggregated credit card transaction data by merchant category, geography, and time period for market research.

Transaction Data Weekly updates 50M+ daily transactions
Trusted integrations

Overview

The Credit Card Transaction Aggregates dataset provides anonymized, aggregated consumer spending data derived from a panel of millions of credit and debit card holders across the United States. Data is aggregated by merchant category code (MCC), geographic region (state, metro area, ZIP code), and time period (daily, weekly, monthly).

Metrics include transaction count, total spend, average ticket size, year-over-year growth, and same-store sales estimates. No individual transaction or cardholder data is exposed — all metrics represent statistical aggregates with minimum threshold requirements for privacy.

Used extensively by hedge funds for alternative data alpha generation, retailers for market share estimation, economists for consumer spending nowcasting, and consultancies for industry benchmarking.

Data Schema

FieldTypeExample
mcc_code String 5812
mcc_description String Restaurants
metro_area String New York-Newark-Jersey City
period String 2026-W11
transaction_count Integer 1284500
total_spend_usd Float 48750000.00
avg_ticket_size Float 37.95
yoy_growth Float 0.082

Data Preview

mcc_codemcc_descriptionmetro_areaperiodtransaction_counttotal_spend_usdavg_ticket_sizeyoy_growth
5812RestaurantsNew York-Newark-Jersey City2026-W11128450048750000.0037.950.082
5846RestaurantsNew York-Newark-Jersey City2060-W45166985060937500.0047.440.10
5812-3Restauran4New York-Newark-Jersey Ci42026-W489915033150000.0025.810.06
5815RestaurantsNew kroY-kraweN-yesreJ ytiC2029-W14269745091162500.0070.970.15

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Geographic Coverage

United States

Use Cases

Alternative data investing
Consumer spending analysis
Market share estimation
Economic nowcasting
Retail benchmarking

Key Attributes

Transaction DatePriceZIP CodeCity Name