Credit Card Accounts in the United States increased to 631.39 Million in the first quarter of 2025 from 617.41 Million in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Credit Card Accounts.

The number of credit cards in use in the United States was forecast to continuously increase between 2024 and 2029 by in total 25 million cards (+2.25 percent). After the fifteenth consecutive increasing year, the number is estimated to reach 1.1 billion cards and therefore a new peak in 2029. Notably, the number of credit cards in use of was continuously increasing over the past years.Shown is the estimated number of credit cards currently in use.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The credit card penetration in the United States was forecast to continuously increase between 2024 and 2029 by in total 1.4 percentage points. After the seventh consecutive increasing year, the credit card penetration is estimated to reach 68.44 percent and therefore a new peak in 2029. The penetration rate refers to the share of the total population who use credit cards.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the credit card penetration in countries like Canada and Mexico.

Graph and download economic data for Large Bank Consumer Credit Card Originations: Number of New Accounts (RCCCONUMACT) from Q3 2012 to Q4 2024 about accounts, FR Y-14M, origination, consumer credit, credit cards, large, new, loans, consumer, banks, depository institutions, and USA.

Graph and download economic data for Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks (CCLACBW027SBOG) from 2000-06-28 to 2025-06-18 about revolving, credit cards, loans, consumer, banks, depository institutions, and USA.

Credit card debt in the United States has been growing at a fast pace between 2021 and 2025. In the fourth quarter of 2024, the overall amount of credit card debt reached its highest value throughout the timeline considered here. COVID-19 had a big impact on the indebtedness of Americans, as credit card debt decreased from *** billion U.S. dollars in the last quarter of 2019 to *** billion U.S. dollars in the first quarter of 2021. What portion of Americans use credit cards? A substantial portion of Americans had at least one credit card in 2025. That year, the penetration rate of credit cards in the United States was ** percent. This number increased by nearly seven percentage points since 2014. The primary factors behind the high utilization of credit cards in the United States are a prevalent culture of convenience, a wide range of reward schemes, and consumer preferences for postponed payments. Which companies dominate the credit card issuing market? In 2024, the leading credit card issuers in the U.S. by volume were JPMorgan Chase & Co. and American Express. Both firms recorded transactions worth over one trillion U.S. dollars that year. Citi and Capital One were the next banks in that ranking, with the transactions made with their credit cards amounting to over half a trillion U.S. dollars that year. Those industry giants, along with other prominent brand names in the industry such as Bank of America, Synchrony Financial, Wells Fargo, and others, dominate the credit card market. Due to their extensive customer base, appealing rewards, and competitive offerings, they have gained a significant market share, making them the preferred choice for consumers.

Debt Balance Credit Cards in the United States decreased to 1.18 Trillion USD in the first quarter of 2025 from 1.21 Trillion USD in the fourth quarter of 2024. This dataset includes a chart with historical data for the United States Debt Balance Credit Cards.

This dataset presents statistics for Finance and Insurance: Credit Card Products Income for the U.S.

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

United States Delinquency Rate: Consumer: Credit Cards data was reported at 2.540 % in Mar 2018. This records a decrease from the previous number of 2.560 % for Dec 2017. United States Delinquency Rate: Consumer: Credit Cards data is updated quarterly, averaging 4.200 % from Mar 1991 (Median) to Mar 2018, with 109 observations. The data reached an all-time high of 6.610 % in Mar 2009 and a record low of 2.010 % in Jun 2015. United States Delinquency Rate: Consumer: Credit Cards data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA010: Commercial Banks: Charge Off and Delinquency Rates.

India Credit Card: Number of Transaction: Volume: POS: Bank of America data was reported at 52,260.000 Unit in Aug 2018. This records a decrease from the previous number of 54,176.000 Unit for Jul 2018. India Credit Card: Number of Transaction: Volume: POS: Bank of America data is updated monthly, averaging 23,500.000 Unit from Apr 2014 (Median) to Aug 2018, with 53 observations. The data reached an all-time high of 54,176.000 Unit in Jul 2018 and a record low of 1,297.000 Unit in May 2014. India Credit Card: Number of Transaction: Volume: POS: Bank of America data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI016: Credit Card Statistics: by Bankwise.

United States Delinquency Rate: 100 Largest Banks: Consumer: Credit Cards data was reported at 2.480 % in Mar 2018. This records a decrease from the previous number of 2.510 % for Dec 2017. United States Delinquency Rate: 100 Largest Banks: Consumer: Credit Cards data is updated quarterly, averaging 4.220 % from Mar 1991 (Median) to Mar 2018, with 109 observations. The data reached an all-time high of 6.710 % in Mar 2009 and a record low of 1.950 % in Jun 2015. United States Delinquency Rate: 100 Largest Banks: Consumer: Credit Cards data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA010: Commercial Banks: Charge Off and Delinquency Rates.

Graph and download economic data for Sources of Revenue: Credit Card Income from Consumers for Credit Intermediation and Related Activities, All Establishments, Employer Firms (REVCICEF522ALLEST) from 2013 to 2022 about finance companies, intermediate, employer firms, consumer credit, credit cards, accounting, companies, revenue, finance, establishments, financial, loans, consumer, services, income, and USA.

United States - Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks was 1077.92650 Bil. of U.S. $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks reached a record high of 1113.79840 in December of 2024 and a record low of 209.36610 in July of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks - last updated from the United States Federal Reserve on June of 2025.

The average for 2021 based on 121 countries was 22.26 percent. The highest value was in Canada: 82.74 percent and the lowest value was in Afghanistan: 0 percent. The indicator is available from 2011 to 2021. Below is a chart for all countries where data are available.

This statistic shows a ranking of the estimated number of credit cards in use in 2020 in Latin America, differentiated by country.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on anonymized debit and credit card data of millions of US households. Orion data is sourced from a variety of US financial institutions with broad geographic and demographic representation, combined to create one of the most comprehensive and accurate views of the consumer economy. AI-powered earnings predictions available for over 450 tickers on this dataset through EarnestAI Reported Metric Predictions.

Consumer Credit in the United States increased to 17.87 USD Billion in April from 8.60 USD Billion in March of 2025. This dataset provides the latest reported value for - United States Consumer Credit Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Bank A issues Credit Cards to eligible customers. The Bank deploys advanced ML models and frameworks to decide on eligibility, limit, and interest rate assignment. The models and frameworks are optimized to manage early risk and ensure profitability. The Bank has now decided to build a robust risk management framework for its existing Credit Card customers, irrespective of when they were acquired. To enable this, the Bank has decided to create a “Behaviour Score”. A Behaviour Score is a predictive model. It is developed on a base of customers whose Credit Cards are open and are not past due. The model predicts the probability of customers defaulting on the Credit Cards going forward. This model will then be used for several portfolio risk management activities.

Problem statement

Your objective is to develop the Behaviour Score for Bank A.

Datasets

You have been provided with a random sample of 96,806 Credit Card details in “Dev_data_to_be_shared.zip”, along with a flag (bad_flag) – henceforth known as “development data”. This is a historical snapshot of the Credit Card portfolio of Bank A. Credit Cards that have actually defaulted have bad_flag = 1. You have also been provided with several independent variables. These include: • On us attributes like credit limit (varables with names starting with onus_attributes) • Transaction level attributes like number of transactions / rupee value transactions on various kinds of merchants (variables with names starting with transaction_attribute) • Bureau tradeline level attributes (like product holdings, historical delinquencies) – variables starting with bureau • Bureau enquiry level attributes (like PL enquiries in the last 3 months etc) – variables starting with bureau_enquiry You have also been provided with another random sample of 41,792 Credit Card details in “validation_data_to_be_shared.zip” with the same set of input variables, but without “bad_flag”. This will be referred to going forward as “validation data”.

Requirements

Using the data provided, you will have to come up with a way to predict the probability that a given Credit Card customer will default. You can use the development data for this purpose. You are then required to use the same logic to predict the probability of all the Credit Cards which are a part of the validation data. Your submission should contain two columns – the Primary key from the validation data (account_number), and the predicted probability against that account. You are also required to submit a detailed documentation of this exercise. A good document should contain details about your approach. In this section, you should include a write up on any algorithms that you use. You should then cover each of the steps that you have followed in as much detail as you can. You should then move on to any key insights or observations that you have come across in the data provided to you. Finally, you should write about what metrics you have used to measure the effectiveness of the approach that you have followed.

Evaluation

As detailed in the previous section, you are required to submit the Primary key and predicted probabilities of all the accounts provided to you in the validation data, as well as a documentation. We will only evaluate submissions that are complete and pass sanity checks (probability values should be between 0 and 1 for example). Submissions will be evaluated basis how close the predicted probabilities are to the actual outcome. We will also evaluate the documentation basis it’s completeness and accuracy. Extra points will be granted to submissions that include interesting insights / observations on the data provided.

United States HH Debt: Balance: New Delinquent Loan: Credit Card data was reported at 6.840 % in Mar 2020. This records a decrease from the previous number of 6.950 % for Dec 2019. United States HH Debt: Balance: New Delinquent Loan: Credit Card data is updated quarterly, averaging 8.081 % from Mar 2003 (Median) to Mar 2020, with 69 observations. The data reached an all-time high of 13.780 % in Dec 2009 and a record low of 5.073 % in Jun 2016. United States HH Debt: Balance: New Delinquent Loan: Credit Card data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.KB027: Household Debt.