University of California Consumer Credit Panel (UC-CCP)

About the Data | Accessing the Data | Fees | FAQ | Approved Projects

The University of California Consumer Credit Panel (UC-CCP) is a new dataset of anonymized consumer credit information, created for the purpose of studying consumer financial well-being and identifying trends among California households related to credit, debt, income, and mobility. The UC-CCP was created in 2020 through a partnership between the California Policy Lab, the Student Borrower Protection Center, and the Student Loan Law Initiative. The dataset is designed for use by researchers affiliated with the University of California or the California Policy Lab. The data can inform research on a variety of topics including economic mobility, health and financial well-being, social mobility, the impact of student debt, California’s housing challenges, and more.

More About the Dataset

The UC-CCP is a longitudinal panel of approximately 40 million consumers starting in 2004 and continuing quarterly through the present. Updates to the data on a quarterly basis are anticipated but will depend on funding. The sample comprises anonymized credit records of a nationally representative 2% sample of US adult consumers with credit records along with 100% of Californians with credit histories. The dataset also includes records from consumers that shared an address or an account (e.g., co-signers) with those in the sample. Data elements includes demographic and geographic information about consumers, credit scores, and raw tradeline-level information about each loan or collections item, including payment history, credit limits and balances, and various information about the type and status of those tradelines, including collections and deferments.

While the UC-CCP is similar to existing credit panels by the Federal Reserve Bank of New York and the Consumer Financial Protection Bureau, it also has three distinct advantages for researchers:

1.  The size of the sample and the oversampling of California consumers.
2.  The granularity of the data (some other panels lack the raw account-level data).
3.  A streamlined process (through CPL) for potentially linking the UC-CCP data with other person-level or address-level data.

The data originates from one of the three nationwide consumer reporting agencies. Before being provided to the UC-CCP, the data was stripped of any information that might reveal consumers’ identities, such as names, addresses, and Social Security numbers.

Here is a public deck describing the data.

Accessing the Data

The UC-CCP is hosted on CPL’s Secure Data Hub, which is a virtual enclave environment designed for secure analysis and research of sensitive administrative microdata. Only approved users have access and only for approved projects. User activities are monitored, logged, and audited.

Potential users should note that not all requests may be approved.  We have usable annual data from 1Q 2004 through the present. We usually receive the new quarter’s data within 1-2 months after the quarter’s end.  The data in 2020 is monthly; all other years have quarterly data. Pending funding availability, we hope to continue purchasing quarterly data on an ongoing basis.

Data Access Fees

We charge a per-project access fee that helps recoup our costs of hosting, curating, and cleaning the data, and maintaining good documentation for users. There is an additional fee assessed for each project requiring an individual-level linkage.  This covers CPL’s costs in facilitating the linkage and writing code to hash/link the data, as well as costs that the bureau charges us for each linkage. These rates are subject to change and tend to change on July 1st of each year, in alignment with our costs. The linkage fee is assessed on top of the basic access fee, for those requesting linkages.

Basic access fee: $8,522

Linkage fee: $13,030

UC Berkeley authors: Starting 10/1/24, and continuing for two years, projects with a UC Berkeley PI will have the basic access fee waived because those fees have been covered by a generous gift from the James Irvine Foundation. In your application, where it asks if you have funds available, please mark that you are applying for CPL funding.

Frequently Asked Questions

Can you describe the data in more detail? For example, what variables are in the data?

Here is a public deck describing the data. More detailed data documentation is available to share with approved applicants, including variable lists, a glossary of codes for each field, and detailed documentation about how to best use the data from other users, including code snippets.

Our data is similar to credit panels held by the Federal Reserve Bank of New York and the Consumer Financial Protection Bureau, so it may help to read up on those data. The 2024 NBER working paper, Consumer Credit Reporting Data, provides an in-depth guide on the data and research possibilities using it, including linking it with other data.

The NY Fed describes their data here: An Introduction to the New York Fed Consumer Credit Panel. One main difference from the NY Fed’s data, besides sampling, is that the UC-CCP contains tradeline-level information from the credit bureau, in addition to person-level data.

Here is a sampling of research using consumer credit panel data:

Pandemic Patterns: California is Seeing Fewer Entrances and More Exits (2021) (note: this research used UC-CCP data)

CalExodus: Are People Leaving California (2021) (note: this research used UC-CCP data)

The Credit Consequences of Unpaid Medical Bills (2018)

Credit Invisibles and the Unscored (2016)

The Effect of Debt Collection Laws on Access to Credit (2018)

The Financial Crisis at the Kitchen Table: Trends in Household Debt and Credit (2013)

‘No More Credit Score’: Employer Credit Check Bans and Signal Substitution (2016)

What Determines Consumer Financial Distress? Place- and Person-based Factors (2020)

Overview

For each consumer in each archive, there are four files: one on consumer characteristics, one on tradelines, one on inquiries, and one on public records.

• Consumer characteristics include credit score, geography, gender (estimated), race/ethnicity (estimated), month and year of birth, marital status (estimated), occupation and education codes (estimated), household count (estimated), and an indicator of homeownership status (estimated). Some of these variables do not come directly from the credit record and are instead modeled/estimated by the credit bureau, with varying levels of missingness and reliability.
• “Tradelines” are loans or other reported credit products, and we receive several variables describing that tradeline, such as loan type, balance amount, minimum payment, credit limit, open and closure dates, and multi-year monthly payment history.
• Hard inquiries for credit (i.e., credit checks) are tracked by date, dollar amount, and type of business.
• Public records include bankruptcy records, including the type of bankruptcy, the filing date, and the amounts of assets and liabilities.

Can you identify individuals in the data?

No. The data are anonymized so that consumer privacy is maintained. There are no names, addresses, social security numbers, birth dates, or other personally identifying information in the data.

Do you know the race or ethnicity of individuals in the data?

Starting in June 2010, and continuing annually to present, the bureau provides us with an estimate of race/ethnicity for all consumers in the panel, using the BISG method.

For what years do you have the data?

We have quarterly extracts going back to 2004. The first archive is from March 2004, and we are receiving archives through present from March, June, September, and December of each year. We plan to continue purchasing the data going forward, pending funding availability.

Some of the demographic data is unavailable for archives before June 2010.

In order to better study the COVID-19 pandemic, we obtained monthly data for the year 2020.

Going forward we expect to receive quarterly data about one month after each quarter ends.

What is the most detailed geography for which you have data?

Each consumer record has a 5-digit ZIP.  After June 2010, the UC-CCP has census geography information for ~80% of records, down to the census block-level.

Can you describe the sampling methodology in greater detail?

There are two samples, one nationwide and one from California.

The National Sample: For each archive, the bureau first selects all records with a “consumer pin” ending in one of two two-digit numbers (e.g., 24 or 56). The consumer pin is assigned sequentially by the bureau and we have conducted testing to ensure that the pins are as good as random, thereby creating a representative nationwide sample.

The California Sample: The bureau provides records for everyone that has lived in California since 2004. We also receive records after a consumer leaves California, and for those who arrived before 2020, we receive their records from their prior locations as well.

Household Members and Associated Borrowers: For both the National and California Samples, we also have data for consumers who share the same address (max of 8 co-habitants) during that archive (Household Members). And we also have data for consumers who are on the same tradelines, such as co-signers (Associated Borrowers). These Household Members and Associated Borrowers are distinguished within the data, and we only have data for them during the archives in which they are associated with the main sample members.

Can the UC-CCP data be linked to other data? If so, how?

Yes, in some circumstances.

The UC-CCP data can readily be linked with other data at varying geographies (ZIPs, census tracts, counties, etc).

In addition, we have arranged for a streamlined process by which UC-CCP data can be linked with other data at the person- or address-level. This process requires that each data provider encrypt, in the same manner, identifiers that can then be anonymously matched and linked on CPL’s servers, without ever seeing the identifiers. The process requires an additional fee (listed below) and is subject to approval by the data providers and by CPL. The queue for such linkages can be long and wait times have been several months.

In some circumstances, projects may be able to reuse existing linkages with approvals from the relevant data owners.  This is not always possible, but when it is, they would not incur an additional linkage fee, but there may be other costs if the reuse would require investment of CPL’s staff time. As of September 2024, UC-CCP data have been linked to data from the California Student Aid Commission, the California Social Services Department, the Alameda County Probation Department, and the U.S. Patent Office. In the near- to medium-term, we have plans to link the UC-CCP data to energy bill data, parcel data, voter data, hospitalization data, birth data, and student-loan servicer data.

Can surveys be conducted off the UC-CCP? If so, how?

This is feasible, but can be expensive.

It is possible to select consumers from the UC-CCP and have a third party administer a mailed survey to those people, compile the responses, and return the responses linked to the UC-CCP records. CPL does not see any individual identifiers as part of this process.

If you are interested in this, please reach out to ucccp@capolicylab.org to discuss.

Who is eligible to access the data?

Faculty, students, and employees of the University of California are eligible to access the data, but their specific use of the data must first be approved by the credit bureau and CPL.  UC authors may have non-UC co-authors, subject to approval by CPL and the credit bureau. If such non-UC co-authors want to access the data, their institution must sign an additional sub-agreement with UC.

What is the approval process for accessing the data?

If you are interested in conducting research with the UC-CCP, please apply using this link.

Not all research projects may get approval. Projects will generally be reviewed within 6 weeks of submittal, so please be patient if you’ve submitted an inquiry before that time. Please do not check-in with us before 6 weeks unless there is some unusual urgency.

Even those who are approved for access may experience delays in getting access to the data.  We appreciate your patience; we are a small team and there is a large volume of requests.

Approved UC-CCP projects

(Most of these projects are hosted, though some are CPL-led projects.)