Datasets:

claritystorm
/

fda-faers-drug-adverse-events

license: other
license_name: public-domain
task_categories:
  - tabular-classification
  - tabular-regression
tags:
  - healthcare
  - pharmacovigilance
  - drug-safety
  - fda
  - adverse-events
  - united-states
pretty_name: FDA FAERS Drug Adverse Events 2023
size_categories:
  - 1M<n<10M

FDA FAERS Drug Adverse Events 2023

FDA Adverse Event Reporting System (FAERS) data for 2023 — cleaned, deduplicated, and structured for pharmacovigilance and drug safety research. 1.5M+ adverse event reports across 7 relational tables, with normalised drug names and MedDRA preferred reaction terms.

This repository contains a 1,000-row sample of the Demographics table (Public Domain). Full dataset (all 7 tables in CSV + Parquet) available at claritystorm.com/datasets/fda-faers.

Quick Start

from datasets import load_dataset
ds = load_dataset("claritystorm/fda-faers-drug-adverse-events")

import pandas as pd
df = pd.read_csv("sample_1000.csv")
print(df["sex_label"].value_counts())
print(df["age_years"].describe())

Schema (DEMO table, selected fields)

Field	Type	Description
primaryid	string	Unique report identifier
caseid	string	Case ID (groups versions of same case)
caseversion	int	Case version (deduped: latest version kept)
fda_dt	string	FDA receipt date (YYYY-MM-DD)
rept_dt	string	Report date (YYYY-MM-DD)
age_years	float	Patient age in years (normalised)
sex_label	string	Male / Female / Unknown
reporter_type	string	Physician / Consumer / Pharmacist / etc.
report_type	string	Expedited / Periodic / Direct / Voluntary
wt_kg	float	Patient weight in kg (normalised)
_quarter	string	Source quarter (e.g. 2023Q1)

Tables in Full Dataset

demo — 1.5M+ rows: one row per deduplicated adverse event report
drug — 7.4M+ rows: drugs involved in each report
reac — 5.8M+ rows: MedDRA preferred reaction terms per report
outc — 1.2M+ rows: serious outcome codes per report (Death, Hospitalization, etc.)
ther — 2.6M+ rows: drug therapy start/end dates per report
indi — 4.5M+ rows: drug indication (reason for use) per report
rpsr — 52K+ rows: report source per report

All tables join on primaryid.

Source

US Food and Drug Administration (FDA), Adverse Event Reporting System (FAERS). FDA FAERS data is a US federal government work in the public domain (17 U.S.C. 105).

Processed by ClarityStorm Data.