Dot density maps place randomly distributed dots within geographic regions where each dot represents a fixed quantity of the measured variable. Unlike choropleth maps that use color to encode magnitude, dot density maps let the eye intuitively perceive concentration â€” denser dot clusters mean higher values. They are especially effective for population, event, or occurrence data where individual units are meaningful.

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value
39538223
29145505
21538187
20201249
13002700
12812508
11799448
10711908
10439388
10077331

{
  "data": [
    {
      "id": "CA",
      "value": 39538223,
      "name": "California"
    },
    {
      "id": "TX",
      "value": 29145505,
      "name": "Texas"
    },
    {
      "id": "FL",
      "value": 21538187,
      "name": "Florida"
    },
    {
      "id": "NY",
      "value": 20201249,
      "name": "New York"
    },
    {
      "id": "PA",
      "value": 13002700,
      "name": "Pennsylvania"
    },
    {
      "id": "IL",
      "value": 12812508,
      "name": "Illinois"
    },
    {
      "id": "OH",
      "value": 11799448,
      "name": "Ohio"
    },
    {
      "id": "GA",
      "value": 10711908,
      "name": "Georgia"
    },
    {
      "id": "NC",
      "value": 10439388,
      "name": "North Carolina"
    },
    {
      "id": "MI",
      "value": 10077331,
      "name": "Michigan"
    },
    {
      "id": "NJ",
      "value": 9288994,
      "name": "New Jersey"
    },
    {
      "id": "VA",
      "value": 8631393,
      "name": "Virginia"
    },
    {
      "id": "WA",
      "value": 7705281,
      "name": "Washington"
    },
    {
      "id": "AZ",
      "value": 7151502,
      "name": "Arizona"
    },
    {
      "id": "MA",
      "value": 7029917,
      "name": "Massachusetts"
    }
  ],
  "series": [
    {
      "type": "dotdensitymap",
      "idKey": "id",
      "valueKey": "value",
      "dotValue": 50000,
      "dotRadius": 2,
      "dotColor": "#6366f1"
    }
  ],
  "title": {
    "text": "US Population Density (1 dot = 50,000 people)"
  }
}

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A dot density map places randomly distributed dots within each region, where each dot represents a fixed count of the measured variable. Regions with more dots have higher values.

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