Applications by employees for Government credit cards issued in card-holder’s name, whether for official travel expenses or for purchasing goods and services.

Indonesia Electronic Card: Transaction: Credit Card: Volume: Purchase data was reported at 29,583,676.000 Unit in Jul 2019. This records an increase from the previous number of 26,495,911.000 Unit for Jun 2019. Indonesia Electronic Card: Transaction: Credit Card: Volume: Purchase data is updated monthly, averaging 18,427,526.860 Unit from Jan 2006 (Median) to Jul 2019, with 163 observations. The data reached an all-time high of 29,940,025.000 Unit in Dec 2018 and a record low of 7,946,883.000 Unit in Feb 2006. Indonesia Electronic Card: Transaction: Credit Card: Volume: Purchase data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.KAG001: Electronic Card Statistics.

In 2024, credit card purchase transactions in Japan amounted to about ***** trillion Japanese yen. This represented an increase of **** percent compared to the previous year. Credit cards have been the leading cashless payment method in recent years.

Envestnet®| Yodlee®'s Credit Card Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Turkey Transaction Value: Credit Card Issued by BKM Member Bank: Purchase data was reported at 606,478.650 TRY mn in 2017. This records an increase from the previous number of 536,501.350 TRY mn for 2016. Turkey Transaction Value: Credit Card Issued by BKM Member Bank: Purchase data is updated yearly, averaging 174,663.000 TRY mn from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 606,478.650 TRY mn in 2017 and a record low of 762.000 TRY mn in 2000. Turkey Transaction Value: Credit Card Issued by BKM Member Bank: Purchase data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA013: Credit and Debit Cards Statistics: Annual.

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Data is the new oil, and this dataset is a wellspring of knowledge waiting to be tapped😷!

Don't forget to upvote and share your insights with the community. Happy data exploration!🥰

** For more related datasets: ** https://www.kaggle.com/datasets/rajatsurana979/fifafcmobile24 https://www.kaggle.com/datasets/rajatsurana979/most-streamed-spotify-songs-2023 https://www.kaggle.com/datasets/rajatsurana979/comprehensive-credit-card-transactions-dataset https://www.kaggle.com/datasets/rajatsurana979/hotel-reservation-data-repository https://www.kaggle.com/datasets/rajatsurana979/percent-change-in-consumer-spending https://www.kaggle.com/datasets/rajatsurana979/fast-food-sales-report/data

Description: Welcome to the world of credit card transactions! This dataset provides a treasure trove of insights into customers' spending habits, transactions, and more. Whether you're a data scientist, analyst, or just someone curious about how money moves, this dataset is for you.

Features: - Customer ID: Unique identifiers for every customer. - Name: First name of the customer. - Surname: Last name of the customer. - Gender: The gender of the customer. - Birthdate: Date of birth for each customer. - Transaction Amount: The dollar amount for each transaction. - Date: Date when the transaction occurred. - Merchant Name: The name of the merchant where the transaction took place. - Category: Categorization of the transaction.

Why this dataset matters: Understanding consumer spending patterns is crucial for businesses and financial institutions. This dataset is a goldmine for exploring trends, patterns, and anomalies in financial behavior. It can be used for fraud detection, marketing strategies, and much more.

Acknowledgments: We'd like to express our gratitude to the contributors and data scientists who helped curate this dataset. It's a collaborative effort to promote data-driven decision-making.

Let's Dive In: Explore, analyze, and visualize this data to uncover the hidden stories in the world of credit card transactions. We look forward to seeing your innovative analyses, visualizations, and applications using this dataset.

Turkey Credit Card Transaction: Volume: Car Rental, Sales, Service, Parts data was reported at 9,612,237.000 Unit in Jun 2018. This records an increase from the previous number of 8,297,481.000 Unit for Mar 2018. Turkey Credit Card Transaction: Volume: Car Rental, Sales, Service, Parts data is updated quarterly, averaging 6,329,784.000 Unit from Mar 2003 (Median) to Jun 2018, with 62 observations. The data reached an all-time high of 9,776,157.000 Unit in Sep 2017 and a record low of 1,877,316.000 Unit in Mar 2003. Turkey Credit Card Transaction: Volume: Car Rental, Sales, Service, Parts data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

This dataset contains information on purchases made through the purchase card programs administered by the state and higher ed institutions. The purchase card information will be updated monthly after the end of the month. For example, July information will be added in August.

This Dataset contains year, month, bank-type and bank-wise total value and volume of card payments and cash withdrawal transactions of credit and debit Cards at point of sale (PoS), ATMs and online during each month

Canada was one of three countries worldwide in 2021, where credit card ownership among consumers 15 years and up was over ** percent. This according to a major survey held once every three years in over 140 different countries. The results highlight the major differences in how countries prefer to pay: In Europe, for instance, the Nordics, Luxembourg, and the United Kingdom are regarded as top credit card countries, whereas the Netherlands ranked significantly lower than all these countries. Credit card usage Cardholders use their credit cards for billions of purchase transactions per year. Some do this to avoid carrying cash around, while others carry out transactions. Many also use credit cards because they do not have to pay immediately. While this can help with monthly cash flow issues, it can also lead to credit card debt that can take years to pay off. Regional differences in credit cards Some counties have a culture of credit card usage. For example, the leading credit card companies in the United States have issued hundreds of millions of credit cards, more than the number of U.S. citizens. Other countries do not have the culture of non-cash transactions. Overcoming this requires both an investment in payment infrastructure and putting people in the habit of using cards instead of cash.

Turkey Credit Card Transaction: Domestic: Vol: Total Cards: Purchase data was reported at 311,887,943.000 Unit in Mar 2018. This records an increase from the previous number of 272,908,707.000 Unit for Feb 2018. Turkey Credit Card Transaction: Domestic: Vol: Total Cards: Purchase data is updated monthly, averaging 154,864,301.000 Unit from Jan 2002 (Median) to Mar 2018, with 195 observations. The data reached an all-time high of 311,887,943.000 Unit in Mar 2018 and a record low of 39,791,560.000 Unit in Jan 2002. Turkey Credit Card Transaction: Domestic: Vol: Total Cards: Purchase data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

In March 2023, there were over *** thousand ATM withdrawal transactions and *** million point-of sale transactions made via credit cards in India. Cash withdrawal via ATMs witnessed a significant increase as compared to last year.

The usage of online marketplace in Indonesia increases due to Covid-19 pandemic and its supporting environment such as payment systems. This investigation was conducted to determine the effect of Website Quality on Online Impulsive Buying Behavior moderated by Sales Promotion and Credit Card Usage in Indonesian marketplace. This study uses quantitative methods with causal analysis. In this research, data was collected through online questionnaires and 275 respondents who used the marketplace website responded. This research uses PLS-SEM data analysis technique. The results of this study showed that three out of five hypotheses are accepted. This study shows that Website Quality, Credit Card Use, and Sales Promotion have positive significant effect on Online Impulse Buying Behavior. However, the result of this study also revealed interesting findings, that there is not enough evidence to support moderation effect of Credit Card use and Sales Promotion in the relationship between web quality and Online Impulse Buying Behavior.

Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

Korean Companies’ Consumer Transaction Data provides detailed insights into consumer behavior, market trends, and economic indicators. This data includes purchase amounts, item details, transaction dates, locations, payment methods, and anonymized consumer demographics. Collected from sources such as credit card transactions, loyalty programs, e-commerce platforms, and POS systems, it helps investors identify new market trends, predict company performance, analyze economic health, and conduct competitor analysis, crucial for valuing Korean B2C companies.

Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Purchase data was reported at 8,412,192.000 Unit in Mar 2018. This records an increase from the previous number of 7,621,472.000 Unit for Feb 2018. Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Purchase data is updated monthly, averaging 1,646,613.000 Unit from Jan 2002 (Median) to Mar 2018, with 195 observations. The data reached an all-time high of 8,412,192.000 Unit in Mar 2018 and a record low of 324,582.000 Unit in Sep 2002. Turkey Credit Card Transaction: Intl: Vol: Domestic Cards: Purchase data remains active status in CEIC and is reported by The Interbank Card Center. The data is categorized under Global Database’s Turkey – Table TR.KA012: Credit and Debit Cards Statistics.

With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

Here is a list of what sorts of attributes are available for each output type listed above:

Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
- Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
- Current Affairs and Politics
- Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
- Antiques - Home Improvement - Gardening - Cooking - Exercise
- Sports - Outdoors - Womens Apparel
- Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

ExactOne delivers unparalleled consumer transaction insights to help investors and corporate clients uncover market opportunities, analyze trends, and drive better decisions.

Dataset Highlights - Source: Debit and credit card transactions from 600K+ active users and 2M accounts connected via Open Banking. Scale: Covers 250M+ annual transactions, mapped to 1,800+ merchants and 330+ tickers. Historical Depth: Over 6 years of transaction data. Flexibility: Analyse transactions by merchant/ticker, category/industry, or timeframe (daily, weekly, monthly, or quarterly).

ExactOne data offers visibility into key consumer industries, including: Airlines - Regional / Budget Airlines - Cargo Airlines - Full Service Autos - OEMs Communication Services - Cable & Satellite Communication Services - Integrated Telecommunications Communication Services - Wireless Telecom Consumer - Services Consumer - Health & Fitness Consumer Staples - Household Supplies Energy - Utilities Energy - Integrated Oil & Gas Financial Services - Insurance Grocers - Traditional Hotels - C-corp Industrial - Misc Industrial - Tools And Hardware Internet - E-commerce Internet - B2B Services Internet - Ride Hailing & Delivery Leisure - Online Gambling Media - Digital Subscription Real Estate - Brokerage Restaurants - Quick Service Restaurants - Fast Casual Restaurants - Pubs Restaurants - Specialty Retail - Softlines Retail - Mass Merchants Retail - European Luxury Retail - Specialty Retail - Sports & Athletics Retail - Footwear Retail - Dept Stores Retail - Luxury Retail - Convenience Stores Retail - Hardlines Technology - Enterprise Software Technology - Electronics & Appliances Technology - Computer Hardware Utilities - Water Utilities

Use Cases

For Private Equity & Venture Capital Firms: - Deal Sourcing: Identify high-growth opportunities. - Due Diligence: Leverage transaction data to evaluate investment potential. - Portfolio Monitoring: Track performance post-investment with real-time data.

For Consumer Insights & Strategy Teams: - Market Dynamics: Compare sales trends, average transaction size, and customer loyalty. - Competitive Analysis: Benchmark market share and identify emerging competitors. - E-commerce vs. Brick & Mortar Trends: Assess channel performance and strategic opportunities. - Demographic & Geographic Insights: Uncover growth drivers by demo and geo segments.

For Investor Relations Teams: - Shareholder Insights: Monitor brand performance relative to competitors. - Real-Time Intelligence: Analyse sales and market dynamics for public and private companies. - M&A Opportunities: Evaluate market share and growth potential for strategic investments.

Key Benefits of ExactOne - Understand Market Share: Benchmark against competitors and uncover emerging players. - Analyse Customer Loyalty: Evaluate repeat purchase behavior and retention rates. - Track Growth Trends: Identify key drivers of sales by geography, demographic, and channel. - Granular Insights: Drill into transaction-level data or aggregated summaries for in-depth analysis.

With ExactOne, investors and corporate leaders gain actionable, real-time insights into consumer behaviour and market dynamics, enabling smarter decisions and sustained growth.

Credit Card Scanners Market Outlook

The global credit card scanners market size was estimated at approximately USD 2.3 billion in 2023 and is projected to reach around USD 4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.6% during the forecast period. This significant growth can be attributed to the increasing adoption of cashless transactions, the proliferation of e-commerce, and the rising demand for secure payment solutions. The credit card scanners market is poised for robust expansion as businesses and consumers alike seek more efficient and secure methods for processing credit card transactions.

One of the primary growth factors driving the credit card scanners market is the global shift towards cashless economies. Governments across the world are encouraging digital transactions to reduce the risks associated with cash handling, curb black money, and enhance transparency in financial transactions. This has led to an increased demand for credit card scanners in both developed and developing economies. Moreover, the convenience and speed offered by these devices make them an appealing choice for both consumers and merchants, further fueling market growth. Another critical factor contributing to market expansion is the rapid growth of the e-commerce sector. With more consumers opting for online shopping, the need for secure and reliable payment processing systems has become paramount. Credit card scanners, particularly those equipped with advanced security features like EMV and NFC technologies, play a crucial role in facilitating these online transactions. As e-commerce continues to thrive, the demand for efficient payment solutions is expected to rise correspondingly.

Technological advancements in payment processing also significantly propel market growth. Innovations such as contactless payments, mobile credit card scanners, and integration with point-of-sale (POS) systems have revolutionized the way transactions are conducted. These advancements not only enhance the user experience but also contribute to increased security, thereby gaining consumer trust and driving market demand. Furthermore, the development of wireless credit card scanners has enabled businesses to offer more flexible and convenient payment options to their customers, thereby enhancing customer satisfaction and loyalty.

The growing awareness about data security and fraud prevention is another vital growth driver. As incidents of credit card fraud and data breaches become more prevalent, businesses are increasingly investing in secure payment solutions to protect customer information. Credit card scanners equipped with advanced encryption technologies and secure authentication methods provide an added layer of security, thereby reducing the risk of fraudulent transactions. This heightened focus on security is expected to drive the adoption of credit card scanners across various sectors, including retail, hospitality, transportation, and healthcare.

In recent years, Face Scan Payment technology has emerged as a revolutionary advancement in the payment processing industry. This innovative approach utilizes biometric authentication to enable secure and seamless transactions. By leveraging facial recognition technology, businesses can offer their customers a fast and convenient payment experience, eliminating the need for physical cards or cash. This technology not only enhances security by reducing the risk of fraud but also improves the overall customer experience by streamlining the payment process. As more businesses and consumers become aware of the benefits of Face Scan Payment, its adoption is expected to grow significantly, further transforming the landscape of digital payments.

Product Type Analysis

The credit card scanners market is segmented based on product type into fixed credit card scanners, mobile credit card scanners, and wireless credit card scanners. Fixed credit card scanners are traditionally used at stationary points-of-sale (POS) in retail stores, restaurants, and service points. These devices are often integrated with larger POS systems, providing robust transaction processing capabilities and enhanced security features. Despite their relatively high cost, fixed credit card scanners continue to be widely adopted due to their reliability and comprehensive functionality.

Mobile credit card scann

Hong Kong SAR (China) Total Value Of Credit Card Transactions: Retail Sales (RS) data was reported at 262,111.000 HKD mn in Dec 2024. This records an increase from the previous number of 239,855.000 HKD mn for Sep 2024. Hong Kong SAR (China) Total Value Of Credit Card Transactions: Retail Sales (RS) data is updated quarterly, averaging 140,897.500 HKD mn from Mar 2008 (Median) to Dec 2024, with 68 observations. The data reached an all-time high of 262,111.000 HKD mn in Dec 2024 and a record low of 71,011.000 HKD mn in Jun 2009. Hong Kong SAR (China) Total Value Of Credit Card Transactions: Retail Sales (RS) data remains active status in CEIC and is reported by Hong Kong Monetary Authority. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.KA004: Statistics of Payment Cards Issued in Hong Kong. [COVID-19-IMPACT]