Premium Density and Population Demographics

This dataset offers detailed insurance premium, penetration, and demographic metrics by geographic area, including population, household income, GDP, and property values. It enables market opportunity analysis, segmentation, and benchmarking for insurers, consultants, and financial analysts seeking to identify growth potential and underserved regions.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Insurance market opportunity identification and segmentation

Sample rows

preview · 8 of 600 rows · all 16 columns
area_idstringaverage_household_incomefloatcountrystringarea_namestringstate_provincestringcitystringpostal_codestringpopulation_totalintegerhousehold_countintegergdpfloataverage_property_valuefloatinsurance_premium_totalfloatinsurance_penetration_ratefloatpremium_density_per_capitafloatpremium_density_per_householdfloatdata_yearinteger
US_NY_001_MN124700USManhattan DistrictNYNew York100011623000732100295000000000210000023500000000.81448.253209.952023
UK_LND_002_WM137300UKWestminster CentralLondonLondonSW1A1AA10750049300850000000024500003700000004.353441.867509.132021
FR_IDF_003_PA121500FranceParis ArrondissementÎle-de-FranceParis750012151001028001200000000018700005300000004.422463.675154.392022
DE_BE_004_MZ94000GermanyMitte ZentrumBerlinBerlin10115365400196200980000000014500002700000002.76738.981376.282020
IN_KA_005_BN65000IndiaBangalore UrbanKarnatakaBangalore560001882000019580002200000000011000003250000001.4836.85165.972024
BR_SP_006_SP74000BrazilSão Paulo CentralSão PauloSão Paulo01001-000123800003465000720000000008900005200000000.7241.99150.072022
AU_VIC_007_MB98000AustraliaMelbourne CityVictoriaMelbourne300014920005209003200000000015400006700000002.09449.121286.572023
CA_BC_008_VC112000CanadaVancouver MetroBritish ColumbiaVancouverV6B3K96752003247001020000000012400003500000003.43518.621078.532021

What the 600 rows show

from the 600-row sample
  • 97,000median average_household_income
  • 115state provinces
  • 126cities
  • 820,000median population_total
  • 296,500median household_count
  • 8,110,000,000median gdp
average_household_income600 rows, in bands of 500k
029058058062022321202.5M5Maverage_household_income →

Median 97,000, from 0.0 to 4,700,000.

country600 rows · top 10 of 18 values
  1. US98
  2. Canada39
  3. Germany38
  4. Brazil37
  5. Japan36
  6. India35
  7. Russia32
  8. South Africa31
  9. China30
  10. France29
16 columns by typefrom the column list below
  • string 6
  • integer 3
  • float 7

Columns

16 columns in two groups
blueprint · 16 columns
columntypedescriptionexample
Text 6 columns
area_idstringUnique identifier for the geographic area (e.g., city, county, region)uniqueUS_NY_001_MN
area_namestringName of the geographic areaManhattan District
countrystringCountry where the geographic area is locatedUS
state_provincestringState or province of the geographic areaoptionalNY
citystringCity of the geographic areaoptionalNew York
postal_codestringPostal code of the area (if applicable)optional10001
Numbers 10 columns
population_totalintegerTotal population in the geographic area0 or more1623000
household_countintegerNumber of households in the geographic area0 or more732100
average_household_incomefloatAverage household income in the area (in local currency)0 or more124700
gdpfloatGross Domestic Product for the area (in local currency)0 or more · optional295000000000
average_property_valuefloatAverage property value in the area (in local currency)0 or more · optional2100000
insurance_premium_totalfloatTotal insurance premium collected in the area (in local currency)0 or more2350000000
insurance_penetration_ratefloatInsurance penetration rate (premium as a percentage of GDP)0 to 100 · optional0.8
premium_density_per_capitafloatInsurance premium per capita in the area0 or more · optional1448.25
premium_density_per_householdfloatInsurance premium per household in the area0 or more · optional3209.95
data_yearintegerYear the data was collected1,900 to 2,1002023

Use it for

  • median average…97,000600 rows

    An insurance dashboard

    Average_household_income and a breakdown of country. Excel, Power BI or Tableau.

  • What pattern can you find in 600 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 600 rows.

  • A software demo

    Believable areas with area_name, country and state_province to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 16 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset600 rows16 columns
Yours1,000 rows16 columnscountry: UK only

blueprint · premium-density-and-population-demographics

Behind this dataset

Same schema. As many rows as you need.

These 600 rows came out of a blueprint — 16 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
  • Premium per capita
  • Premium per household
  • Premium as percentage of income
  • Insurance penetration rate
  • Population density
  • Median household income
  • Home ownership rates
  • Vehicle ownership rates
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
premium-density-and-population-demographics

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