HCUP Nationwide Inpatient Sample

Alternate Titles(s): National Inpatient Sample, NIS, HCUP NIS, Healthcare Cost and Utilization Project Nationwide Inpatient Sample
UID: 10012
Description
The Nationwide Inpatient Sample (NIS) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NIS is the largest all-payer inpatient health care database in the United States, yielding national estimates of hospital inpatient stays. The NIS can be used to identify, track, and analyze national trends in health care utilization, access, charges, quality, and outcomes. Data may not be available for all states across all years.
Publisher
Timeframe
1988 - Present
Geographic Coverage
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York (State)
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
United States
Utah
Vermont
Virginia
Washington (State)
Washington, D.C.
West Virginia
Wisconsin
Wyoming
Local Expert
Subject of Study
Subject Domain
Keywords

Access

Restrictions
Fee Required
Instructions

The data is available for purchase through the HCUP Central Distributor. Prior to purchasing HCUP data, all individuals are required to take the online HCUP Data Use Agreement Training Tool, and read and sign the Data Use Agreement for Nationwide Databases. The dataset is distributed as fixed-width ASCII formatted data files compressed with SecureZIP from PKWARE.

To load and analyze the dataset on a computer, you will need the following: the password provided by the HCUP Central Distributor, a hard drive with at least 15 GB of space available; a third-party zip utility such as ZIP Reader, SecureZIP, or WinZip; and SAS, SPSS, Stata or similar analysis software.

The dataset includes weights for producing national and regional estimates. Documentation and tools, including programs for loading the ASCII file into SAS, SPSS, or Stata, are also available on the Database Documentation page.

Data Type
Study Type
Observational
Dataset Format(s)
ASCII
Dataset Size
15GB
PubMed Search
View articles which use this dataset
Other Resources
HCUPnet

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