Significant earthquakes worldwide, magnitude 5.0+ (2020–)

Every magnitude 5.0+ earthquake in the USGS ANSS Comprehensive Catalog since 2020-01-01: origin time, epicenter, depth, magnitude and type, felt reports, tsunami flag, and review status. Provenance: USGS Earthquake Hazards Program keyless GeoJSON API (https://earthquake.usgs.gov/fdsnws/event/1/query), U.S. public domain - please credit the U.S. Geological Survey. Coverage: worldwide, magnitude 5.0 and above, from 2020-01-01 to the present; smaller quakes are not collected, and detection completeness varies by region and network density. Primary key: event_id (USGS event id, e.g. 'us7000tigd'). The feed replays the full window on each refresh, so revised magnitudes, depths and locations update existing rows in place (see updated_utc). Cadence: refreshed daily; new quakes typically appear within minutes to hours of occurrence. Nullability: event_id, time_utc, latitude, longitude, magnitude and tsunami_flag are never null; depth_km may be null when the feed omits it. Sample use: filter time_utc >= the start of a year and order by magnitude desc for that year's largest events.

Source

USGS Earthquake Hazards Program

Rows

12,270

Columns

15

Source cadence

Daily

Last refreshed

Sep 23, 2026

Theme

environment

• earthquake
• natural-hazards
• usgs

First 10 sample rows — a preview, not the complete dataset.

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

curl "https://datazimuts.com/v1/datasets/usgs/usgs_earthquakes_m5_plus" | jq '{title, rows, columns_count, license}'

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/usgs/usgs_earthquakes_m5_plus").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/usgs/usgs_earthquakes_m5_plus

Tip: fetch /llms.txt for the full machine-readable catalog.