Emergency Department Visit Estimates by Diagnosis and Patient Characteristics

Emergency department visit counts and rates from 2016 to 2022 are provided by the National Center for Health Statistics (NCHS). The data are stratified by primary diagnoses, reasons for visit, and patient and hospital characteristics. Estimates are accessible via the NCHS Data Query System.

Use Cases

• Analyze trends in ESTIMATE for a specific DIAGNOSIS over TIME_PERIOD from 2016 to 2022.
• Compare visit rates (ESTIMATE) across different patient SUBGROUPS like age or gender for a given TOPIC.
• Assess statistical reliability by examining confidence intervals (ESTIMATE_LCI, ESTIMATE_UCI) and STANDARD_ERROR for key estimates.
• Investigate the distribution of visits by CLASSIFICATION and TAXONOMY of diagnoses or reasons for visit.

Strengths

• Covers 7 consecutive years of data from 2016 to 2022.
• Includes multiple stratification dimensions such as TOPIC, SUBGROUP, CLASSIFICATION, and TAXONOMY.
• Provides statistical metrics including ESTIMATE_LCI, ESTIMATE_UCI, and STANDARD_ERROR for data quality assessment.

Limitations

• Exact row count and sample size are unknown, limiting assessment of statistical power.
• Data granularity (e.g., individual hospital vs. national aggregate) is unclear from available column descriptions.
• Relies on administrative coding (DIAGNOSIS, REASON FOR VISIT) which may contain inaccuracies or inconsistencies.

Provenance

Source

National Center for Health Statistics (NCHS) Data Query System via data.cdc.gov.

Collection Method

Aggregated estimates derived from national healthcare surveys or administrative data, exact methodology unspecified.

Time Range

2016-2022

Freshness

Data updated through 2022, with platform metadata last updated in September 2025.

Geography

United States