CDC PLACES Local Health Estimates: Prevalence of Health Conditions by Location

cdcdata/places-health-estimates

Model-based estimates of how common a health condition is in a US location, from CDC PLACES: one row per location, measure and data-value type, with the percentage, its low and high confidence limits, the adult and total population, and a map point. Filter by two-letter state, location name, measure id (for example ARTHRITIS, CASTHMA, STROKE, DISABILITY) and year. Rows are passed through unmodified, with every number as a string. Source: CDC. Served by Eden Engine; not an official CDC product.

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.

Data source

Centers for Disease Control and Prevention

Source: CDC (Centers for Disease Control and Prevention), data.cdc.gov. U.S. federal government work, public domain per cdc.gov/other/agencymaterials.html; passed through unmodified. This material is also published on cdc.gov. CDC does not endorse this service. Served by Eden Engine; not an official CDC product.

Use it

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agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "cdcdata/places-health-estimates" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "cdcdata/places-health-estimates" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "cdcdata/places-health-estimates", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "cdcdata/places-health-estimates", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

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Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0026

Updated: Oct 20, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "limit"
  ],
  "properties": {
    "year": {
      "type": "string",
      "pattern": "^[0-9]{4}$",
      "description": "Data year as four digits, for example 2023."
    },
    "limit": {
      "type": "integer",
      "maximum": 100,
      "minimum": 1,
      "description": "How many rows to return, 1 to 100. Required."
    },
    "state": {
      "type": "string",
      "pattern": "^[A-Z]{2}$",
      "description": "Two-letter state abbreviation in upper case, for example AR. Matches the stateabbr column exactly."
    },
    "offset": {
      "type": "integer",
      "maximum": 100000,
      "minimum": 0,
      "description": "Rows to skip. Rows come in the dataset's own order, which this tool does not sort, so narrow with filters rather than paging deep."
    },
    "measure_id": {
      "type": "string",
      "pattern": "^[A-Z0-9_]{2,30}$",
      "description": "Measure id in upper case, for example ARTHRITIS (arthritis among adults), CASTHMA (current asthma among adults), STROKE or DISABILITY (any disability among adults)."
    },
    "location_name": {
      "type": "string",
      "maxLength": 100,
      "minLength": 1,
      "description": "Location name exactly as the dataset spells it, for example Drew. Case-sensitive, exact match."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "required": [
    "results"
  ],
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "year": {
            "type": "string",
            "description": "Data year."
          },
          "measure": {
            "type": "string",
            "description": "Measure description."
          },
          "category": {
            "type": "string",
            "description": "Measure category."
          },
          "measureid": {
            "type": "string",
            "description": "Measure id usable as a filter."
          },
          "stateabbr": {
            "type": "string",
            "description": "Two-letter state abbreviation."
          },
          "statedesc": {
            "type": "string",
            "description": "State name."
          },
          "categoryid": {
            "type": "string"
          },
          "data_value": {
            "type": "string",
            "description": "The estimate, as a string."
          },
          "datasource": {
            "type": "string",
            "description": "Underlying survey source."
          },
          "locationid": {
            "type": "string",
            "description": "Location code (a FIPS code)."
          },
          "geolocation": {
            "type": "object",
            "description": "GeoJSON point: type and [longitude, latitude] coordinates.",
            "additionalProperties": true
          },
          "locationname": {
            "type": "string",
            "description": "Location name."
          },
          "totalpop18plus": {
            "type": "string"
          },
          "data_value_type": {
            "type": "string",
            "description": "For example Crude prevalence."
          },
          "data_value_unit": {
            "type": "string"
          },
          "datavaluetypeid": {
            "type": "string"
          },
          "totalpopulation": {
            "type": "string"
          },
          "short_question_text": {
            "type": "string"
          },
          "low_confidence_limit": {
            "type": "string"
          },
          "high_confidence_limit": {
            "type": "string"
          }
        },
        "additionalProperties": true
      }
    }
  },
  "description": "The matching dataset rows under `results`; an empty list when nothing matches the filters.",
  "additionalProperties": true
}