National Electronic Injury Surveillance System (NEISS) Archived Annual Data
Principal Investigator(s): View help for Principal Investigator(s) United States Consumer Product Safety Commission
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| Archived Annual NEISS Data | 05/23/2025 04:37:PM |
Project Citation:
United States Consumer Product Safety Commission. National Electronic Injury Surveillance System (NEISS) Archived Annual Data. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-05-25. https://doi.org/10.3886/E230963V1
Project Description
Project Title:
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National Electronic Injury Surveillance System (NEISS) Archived Annual Data
Summary:
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For more than 45 years, the CPSC has operated a statistically valid injury surveillance and follow-back system known as the National Electronic Injury Surveillance System (NEISS). The primary purpose of NEISS is to collect data on consumer product-related injuries occurring in the United States. CPSC uses these data to produce nationwide estimates of product-related injuries.
NEISS is based on a nationally representative probability sample of hospitals in the U.S. and its territories. Each participating NEISS hospital reports patient information for every emergency department visit associated with a consumer product or a poisoning to a child younger than five years of age. The total number of product-related hospital emergency department visits nationwide can be estimated from the sample of cases reported in the NEISS.
Archived Annual NEISS Data
Each NEISS dataset contains a complete year of data, spanning treatment dates January 1 - December 31 and is available as an Excel, tab delimited file, or SAS file. The datasets are the easiest way to get a comprehensive look at all product-related emergency department visits contained in the NEISS for a given year.
Each dataset contains brief narratives describing NEISS incident scenarios. These narratives can be used to extract data that are not captured by specific product codes within NEISS. For example, within NEISS there are product codes for “bicycles”, but there is no code for “eating”. In order to determine a national estimate of people who were injured on their bicycle while eating, you would need to download a dataset and search bicycle incident narratives for instances of “eating”.
A data dictionary is also available at the top folder level.
NEISS is based on a nationally representative probability sample of hospitals in the U.S. and its territories. Each participating NEISS hospital reports patient information for every emergency department visit associated with a consumer product or a poisoning to a child younger than five years of age. The total number of product-related hospital emergency department visits nationwide can be estimated from the sample of cases reported in the NEISS.
Archived Annual NEISS Data
Each NEISS dataset contains a complete year of data, spanning treatment dates January 1 - December 31 and is available as an Excel, tab delimited file, or SAS file. The datasets are the easiest way to get a comprehensive look at all product-related emergency department visits contained in the NEISS for a given year.
Each dataset contains brief narratives describing NEISS incident scenarios. These narratives can be used to extract data that are not captured by specific product codes within NEISS. For example, within NEISS there are product codes for “bicycles”, but there is no code for “eating”. In order to determine a national estimate of people who were injured on their bicycle while eating, you would need to download a dataset and search bicycle incident narratives for instances of “eating”.
A data dictionary is also available at the top folder level.
Original Distribution URL:
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https://www.cpsc.gov/Research--Statistics/NEISS-Injury-Data
Scope of Project
Subject Terms:
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product safety;
consumer protection;
injury
Geographic Coverage:
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United States of America
Time Period(s):
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2005 – 2024
Data Type(s):
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administrative records data
Collection Notes:
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Downloaded May 23rd, 2025
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