Insurance
14 columns
1,003 rows
8 formats

Catastrophe Risk Zones and Hazard Scores

This dataset provides detailed catastrophe risk zone information across multiple hazard types, including hurricane, earthquake, wildfire, flood, tornado, and hail. Each record contains geographic identifiers, hazard scores, PML estimates, and portfolio concentration limits, enabling robust risk assessment, exposure management, and spatial analysis for insurance and financial applications.

last updated 2 Nov 2025
by GoMask

The brief that made it

Catastrophe risk modeling and portfolio exposure analysis

Sample rows

preview · 8 of 1,003 rows · all 14 columns

zone_idstring	hazard_typestring	pml_estimatefloat	countrystring	zone_namestring	state_provincestring	county_districtstring	latitudefloat	longitudefloat	hazard_scorefloat	concentration_limitfloat	zone_area_sqkmfloat	population_estimateinteger	last_updateddatetime
USA_FL_Coastal_001	hurricane	3200000000	USA	Florida Coastal Zone	Florida	Miami-Dade	25.7617	-80.1918	95.2	2500000000	580.3	4100000	2024-06-02T15:24:10Z
USA_TX_Panhandle_002	tornado	510000000	USA	Texas Panhandle Tornado Belt	Texas	Randall	34.9636	-101.9146	92.7	75000000	2200	180000	2024-06-03T09:16:33Z
USA_CA_SanAndreas_003	earthquake	4500000000	USA	San Andreas Fault Area	California	San Benito	36.6123	-121.1646	98.1	3000000000	675.2	750000	2024-06-04T18:21:15Z
USA_LA_Bayou_004	flood	1100000000	USA	Louisiana Bayou Floodplain	Louisiana	Plaquemines	29.3445	-89.5467	87.5	95000000	1200.4	230000	2024-06-05T10:03:52Z
USA_CA_Sierra_005	wildfire	350000000	USA	Sierra Nevada Wildfire Risk	California	Placer	39.23	-120.0324	83.6	58000000	3000	96000	2024-06-04T12:17:19Z
USA_OK_Plains_006	tornado	480000000	USA	Oklahoma Central Plains	Oklahoma	Cleveland	35.2054	-97.4426	89.4	62000000	1900.2	220000	2024-06-03T08:41:30Z
USA_AK_FarNorth_007	hail	500000	USA	Alaska Far North Hail Zone	Alaska	blank	71.2906	-156.7886	4.3	blank	126000	3200	2024-06-01T21:10:02Z
USA_ME_Northwoods_008	wildfire	4200000	USA	Maine Northwoods Wildfire Area	Maine	Piscataquis	45.6794	-69.0782	12.8	blank	14500	8340	2024-06-02T12:44:38Z
USA_IL_Metro_009	flood	220000000	USA	Chicago Metro Flood Risk	Illinois	Cook	41.8781	-87.6298	62.1	18000000	520.6	2750000	2024-06-03T14:27:54Z
USA_CO_Rockies_010	hail	2500000	USA	Colorado Rockies Hail Zone	Colorado	Larimer	40.5853	-105.0844	14.7	480000	8900	162000	2024-06-02T11:39:17Z
IND_MH_Konkan_011	flood	740000000	India	Konkan Coast Floodplain	Maharashtra	Ratnagiri	17.0085	73.297	82.5	65000000	670	430000	2024-06-02T23:18:23Z
IND_AP_Deccan_012	wildfire	850000	India	Deccan Plateau Wildfire Zone	Andhra Pradesh	Chittoor	13.2172	79.1016	9.2	blank	12500	27000	2024-06-03T19:37:42Z
JPN_TokyoBay_013	earthquake	3700000000	Japan	Tokyo Bay Coastal Earthquake	Tokyo	Minato	35.6586	139.743	97.6	2200000000	320.8	6700000	2024-06-03T07:40:45Z
JPN_Aichi_Hail_014	hail	2600000	Japan	Aichi Prefecture Hail Area	Aichi	Nagoya	35.1815	136.9066	12.2	440000	3900	610000	2024-06-04T16:49:14Z
JPN_Kyushu_Flood_015	flood	150000000	Japan	Kyushu Southern Flood Zone	Kumamoto	Minami	32.7898	130.7417	73.5	11000000	800	810000	2024-06-02T17:26:21Z
AUS_VIC_Alpine_016	wildfire	89000000	Australia	Victorian Alpine Wildfire Zone	Victoria	Bright	-36.7331	147.1834	78.9	9400000	4400	41000	2024-06-03T11:15:54Z
AUS_NSW_Opal_017	hail	1200000	Australia	NSW Opal Country Hail Zone	New South Wales	Lightning Ridge	-29.4276	147.9817	16.4	190000	15000	8500	2024-06-01T11:59:08Z
AUS_QLD_Coast_018	flood	64000000	Australia	Queensland Coastal Flood Zone	Queensland	Cairns	-16.9186	145.7781	69.3	4900000	620	840000	2024-06-05T15:35:23Z
BRA_RJ_Bay_019	flood	79000000	Brazil	Rio de Janeiro Bay Flood Risk	Rio de Janeiro	Niteroi	-22.8831	-43.1032	77.2	7100000	510	940000	2024-06-03T06:22:11Z
BRA_SP_Wild_020	wildfire	5100000	Brazil	Sao Paulo Hinterland Wildfire	Sao Paulo	Piracicaba	-22.7278	-47.6492	19.3	320000	16600	39000	2024-06-04T10:25:37Z

What the 1,003 rows show

from the 1,003-row sample

Earthquake (hazard type) stands out: mean pml_estimate is 1,905,729,524, against 301,305,432 for the rest.

34,000,000median pml_estimate
155state provinces
49.2median hazard_score
11,000,000median concentration_limit
780.2median zone_area_sqkm
290,000median population_estimate

Mean pml_estimate by hazard_type1,003 rows

pml_estimate1,003 rows, in bands of 500M

Median 34,000,000, from 0 to 4,500,000,000.

country1,003 rows · top 10 of 13 values

USA325
Australia82
Germany80
Switzerland73
China63
Russia63
New Zealand62
Brazil61
South Africa56
Japan51

14 columns by typefrom the column list below

string 6
integer 1
float 6
datetime 1

Columns

14 columns in three groups

blueprint · 14 columns
column	type	description	example
Text 6 columns
`zone_id`	string	Unique identifier for the catastrophe risk zoneunique	USA_FL_Coastal_001
`zone_name`	string	Human-readable name of the risk zone (e.g., 'Florida Coastal', 'San Andreas Fault Area')	Florida Coastal Zone
`country`	string	Country where the risk zone is located	USA
`state_province`	string	State or province where the risk zone is locatedoptional	Florida
`county_district`	string	County or district within the state/provinceoptional	Miami-Dade
`hazard_type`	string	Type of catastrophe hazard (e.g., hurricane, earthquake, wildfire, flood, tornado, hail)6 values	hurricane
Numbers 7 columns
`latitude`	float	Latitude coordinate representing the center of the risk zone-90 to 90	25.7617
`longitude`	float	Longitude coordinate representing the center of the risk zone-180 to 180	-80.1918
`hazard_score`	float	Normalized hazard score for the risk zone (e.g., 0-1 or 0-100 scale)0 to 100	95.2
`pml_estimate`	float	Probable Maximum Loss (PML) estimate in monetary units for the zone and hazard type0 or more	3200000000
`concentration_limit`	float	Maximum allowed portfolio exposure (limit) for this zone and hazard type0 or more · optional	2500000000
`zone_area_sqkm`	float	Area of the risk zone in square kilometers0 or more · optional	580.3
`population_estimate`	integer	Estimated population within the risk zone0 or more · optional	4100000
Dates and times 1 column
`last_updated`	datetime	Timestamp when this record was last updated	2024-06-02T15:24:10Z

Use it for

An insurance dashboard
Pml_estimate by hazard_type and a breakdown of country. Excel, Power BI or Tableau.
Why do the 105 earthquake rows have a mean pml_estimate of 1,905,729,524?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Zones1,003
USA_FL_Coastal_0013200000000hurricane
USA_TX_Panhandle_002510000000tornado
USA_CA_SanAndreas_0034500000000earthqua…
A software demo
Believable zones with zone_name, country and state_province to fill a screen in front of a buyer.

This dataset1,003 rows14 columns

Yours10,000 rows14 columnscountry: UK only

blueprint · catastrophe-risk-zones-and-hazard-scores

Behind this dataset

Same schema. As many rows as you need.

These 1,003 rows came out of a blueprint — 14 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Hurricane: coastal zones, wind speed potential, storm surge
Earthquake: seismic zones, fault lines, shake maps
Wildfire: WUI (Wildland-Urban Interface) zones
Flood: FEMA flood zones (A, V, X, etc.)
Tornado: Tornado Alley and Dixie Alley regions
Hail: hail belt across Great Plains
Hazard score or rating per location
Probable Maximum Loss (PML) at return periods

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: catastrophe-risk-zones-and-hazard-scores

What should your data show?

No signup. No card.

Sample rows

What the 1,003 rows show

Columns

Use it for

An insurance dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Insurance

What should your data show?