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Restricted Data Files Available at the Data Centers

On this page: Available files - Application - Application Fee - Proposal review - Accessing files - Output/materials - Unavailable files - Contact Data Center

Researchers and users with approved research projects can access restricted data files that have not been publicly released for reasons of confidentiality at the AHRQ Data Center in Rockville, Maryland.

Qualified researchers can also access restricted data files through the Federal Statistical Research Data Centers (FSRDC) ( -- Scroll down the page and click on the Agency for Health Care Research and Quality (AHRQ) available data link.) For information on the FSRDC research proposal process and the data sets available, read AHRQ-Census Bureau agreement on access to restricted MEPS data.

Data Files Available at the AHRQ Data Center

Confidential data files

  • Household Component–Insurance Component Linked File (available for 1996–1999 and 2001). For many households, health insurance available through a household member’s employer is a key source of coverage. However, many details about the health insurance plans offered by and/or obtained through employers are not readily available from household respondents. To fill this data gap, the employers of Household Component jobholders are contacted through the Insurance Component survey. Employers are asked about health insurance offerings, premiums, employee contributions to premiums and other plan details for their establishment as a whole. This information is then linked, via a data file, to data collected during the household survey for the jobholder to provide a more complete picture of the jobholder’s insurance options. Significant survey non-response prevents these linked data from being used to make nationally representative estimates and results cannot be generalized beyond the sample of persons included in the file. Thus, no weight has been constructed for these files. Detailed documentation of these research files for 1996–1999, including a crosswalk of variables to the MEPS-IC questionnaires and the codebooks, are available for download. There are no plans for collecting these data in future years.

  • Nursing Home Component (available for 1996 only). The Nursing Home Component was a survey of nursing homes and persons resident in or admitted to nursing homes at any time during calendar year 1996. The survey gathered information on the demographic characteristics, residence history, health and functional status, use of services, use of prescription medications, and health care expenditures of nursing home residents. Nursing home administrators and designated staff also provided information on facility size, ownership, certification status, services provided, revenues and expenses, and other facility characteristics. A community questionnaire obtained data from next of kin or other knowledgeable persons in the community on income, assets, family relationships, and caregiving information for the sampled nursing home resident. Detailed documentation of these research files, including links to the Nursing Home survey questionnaires and codebooks, are available for download. There are no plans for collecting these data in future years.

  • Medical Provider Component. The primary purpose of the Medical Provider Component is to collect detailed charge and payment data from hospitals, physicians, home health care providers, and pharmacies to supplement information received from Household Component respondents on their health care expenses. The billing data collected includes whether a visit was capitated, charges for each procedure (CPT4) for office-based and outpatient department visits, and amounts for each source of payment. Diagnosis codes for medical visits and stays and NDC codes for prescription drugs are also collected. While the Medical Provider Component was not designed to make stand-alone national estimates, the detailed information on payments, procedure codes, and diagnostic codes support a variety of analyses not possible with the Household Component data alone.

  • Area Health Resources Files. The Area Health Resources Files (AHRF) dataset provides current as well as historic data for more than 6,000 variables for each of the nation's counties, as well as state and national data. It contains information on health facilities, health professions, measures of resource scarcity, health status, economic activity, health training programs, and socioeconomic and environmental characteristics. In addition, the basic file contains geographic codes and descriptors which enable it to be linked to many other files and to aggregate counties into various geographic groupings. The Area Health Resources Files (AHRF) data are designed to be used by planners, policymakers, researchers, and others interested in the nation's health care delivery system and factors that may impact health status and health care in the United States. Historically and when requested, data from the AHRF has been merged onto MEPS files that are used in the AHRQ Data Center. This can still be done; however, you now need to show us that you have obtained a copy of the AHRF from Health Resources and Services Administration (HRSA). Go to the website for more information on obtaining copies of the AHRF.

  • MEPS Public Use Data Files. All data files available for downloading on the MEPS Web site are also available in the AHRQ Data Center.

  • MEPS Link Files to NHIS. Each MEPS/NHIS link file contains a crosswalk that allows data users to merge MEPS full-year public use data files to NHIS person-level public use data files that contain data collected for MEPS respondents in the year prior to their initial year of MEPS participation.

    Documentation of these link files are available for download.
Confidential and non-public use variables
  • Fully Specified ICD-9 Codes: These codes allow medical conditions to be identified with greater specificity.
  • Fully Specified Industry and Occupation Codes: These codes allow a worker's industry and occupation to be identified with greater specificity.
  • State and County FIPS Codes: These codes can be used to merge data from the Area Resource File, or any data at the State and/or County level, onto the MEPS data.
  • Census Tract and Block-Group Codes: These codes can be used to merge data from the U.S. Census, or any data at the tract or block-group level, onto the MEPS data.
  • Non-Public Use Data Elements: These are data elements from our questionnaires that are not directly identifiable data, but have yet to be edited or released, i.e., asset information and imputed NDC codes.
  • Federal and State Marginal Tax Rates: Tax simulations using the National Bureau of Economic Research’s TAXSIM package have been run for the 1996–2002 HC full-year populations. Tax amounts and marginal tax rates have been computed for Federal, State and FICA taxes. Property taxes, sales taxes, and city/county income taxes have not been simulated.
Application Procedure and Form

Prospective researchers must submit an application, including a research proposal, that will be reviewed by a committee. The application forms are available in HTML and PDF formats. AHRQ Data Center applications are accepted continuously and are reviewed and approved on a monthly basis.

It is recommended that researchers have an initial discussion of the feasibility of the proposed project with AHRQ Data Center staff. The complete application package should be emailed to CFACTDC@AHRQ.HHS.GOV or mailed to the AHRQ Data Center contact information below.

The AHRQ Data Center manager will review material for completeness, receive clarification from researcher (if needed), and make a recommendation for approval to the director of the Center for Financing, Access and Cost Trends, AHRQ. If needed, the proposal can iterate with the researcher and Data Center manager until an appropriate package is developed. If necessary, a cost estimate for required services will be reviewed with the researcher/applicant, once the project is approved.

The following forms are developed and specified for each project by the AHRQ Data Center coordinator: 1) The AHRQ Data Center agreement, which makes clear the scope of the project, data, and services to be provided by the researcher and the Data Center; the obligations of both parties; and the cost; 2) Task order/billing agreement for programming support; and 3) Confidentiality affidavits, as required.


Application Fee

The AHRQ Data Center charges a user fee of $300.00 for approved Data Center projects to cover technical assistance, simple file construction, and up to four hours of programming support. This fee will be waived for full-time graduate students working on dissertations or other degree requirements, and Federal Government agencies. The Data Center fee is also waived for using one of the Federal Statistical Research Data Centers (FSRDC); however, the applicant will be responsible for any additional fees required by the Census Bureau while working at the FSRDC.


Proposal Review

The AHRQ Data Center manager will coordinate the review of each proposal. The following will be considered in reviewing proposals:

  • The feasibility of existing data to the project, that is, whether it is possible for the research to be conducted with the available information. On occasion, it is apparent from the outset that the sample will not support the intended analysis. For instance, MEPS does not support estimates for smaller states or for some conditions.

  • The risk of disclosure of restricted information, that is whether the analysis can be conducted without compromising the confidentiality promised to all respondents (persons, employers, insurers, hospitals and physicians).

  • The availability of resources to support the project at the AHRQ Data Center. At this time, only limited technical support can be provided on site, so researchers should make every effort to familiarize themselves with the MEPS data before coming to the data center.

  • Whether the proposed project is in accordance with the mission of AHRQ as specified in its authorizing legislation.
Users should note that approval of the application does not constitute endorsement by AHRQ of the substantive, methodological, theoretical, policy relevance or scientific merit of the proposed research. Approval only constitutes a judgment that the research is doable, broadly consistent with AHRQ’s mission, and an appropriate use of the data in terms of what confidentiality and privacy protections were promised to respondents or otherwise required by law.


Accessing the Data Files

Researchers must execute all computer runs either at facilities located within the AHRQ Data Center in Rockville, Maryland or at one of the Federal Statistical Research Data Centers (FSRDC) located throughout the U.S. Remote access is not available at this time.

For researchers who have already visited the AHRQ Data Center to perform initial programming, we offer a limited service that allows them to submit revised SAS or STATA programs that will be run on their behalf by the Data Center coordinator. This service is not for the purpose of program development and does not include programming support—the researcher is responsible for developing a debugged program. The service is to support minor modifications to existing programs, such as changes in variables in a statistical model. If there are numerous such requests for a single project, a separate fee will be negotiated for providing this additional service.

The AHRQ Data Center allows researchers to supply their own data to be merged with AHRQ data. The user-supplied data may consist of proprietary data collected and owned by the user. Users must provide the Data Center staff with complete documentation of any data proposed to be merged. The documentation should include descriptive variable and value labels. Users are responsible for interacting with Data Center staff to insure that the data can be merged and that the formats are consistent. Merging of characteristics of geographic areas must be done in such a way that details of the sampling frame (i.e., what counties are included or excluded) of the survey are not revealed to the user. Data merges will be conducted by the Data Center or its contractors prior to the arrival of the user. Files and information used in linking the data sets will not be made available to the user. As a policy, AHRQ will catalog all data (including researcher-supplied data) used at the Data Center and will make that data available to other researchers. However, we can make arrangements to restrict data access to your specific data if required under existing data use agreements.


What output can be taken from the Data Center?
  • All materials to be removed from the Data Center are subject to disclosure review.
  • In addition to approved tables, researchers may request that the Data Center manager review and, if approved, download the following to an external media from the Data Center: programs, word processing documents, and electronic versions of approved printouts.
What output cannot be taken from the Data Center?
  • Any output that could potentially identify respondents or small geographic areas, either directly or inferentially, cannot be removed from the Data Center.
  • Models using geographic area as the dependent variable cannot be removed from the Data Center, unless the values are encrypted.
  • The identity of sampling units, which could be used in efforts to identify the data subject, cannot be removed.
  • In general, any direct or inferential identifiers not revealed on the public use data files cannot be removed from the Data Center.
  • No sample case printouts are ever allowed to be removed from the Data Center.
  • When using Proc Means, no cells with the same minimum and maximum or with cell sizes of less than 100 may be removed.
  • When using Proc Univariate or producing cross-frequencies, no tables with the same minimum and maximum, with only one observation for the minimum and maximum, or tables with row and column sizes of less than 100 can be removed.
Data Files Not Available at the AHRQ Data Center
  • Researchers will not have access to data files unless they are requested in their approved project.
  • Researchers will not have access to files containing direct identifiers, such as names or addresses.
  • Researchers will not have access to geographical data (county, census tract) unless it is encrypted. Depending upon the approved research project, researchers will be given access to characteristics of those geographic areas. Researchers may also be given access to files with dummy codes for places, but they will not be given the decodes that allow association of place name with the code. Upon request, an entire file can be pre-coded into categories (e.g., residing in a state with high/medium/low Medicaid generosity).

   Page last revised:  April 22, 2019
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