{
  "alt": "A dot chart with one row for each of nine conditions, sorted by the mean number of other high conditions, with COPD, stroke and heart disease at the top and depression and cancer at the bottom. A vertical rule marks the number expected for independent conditions, and every dot and its interval lie to the right of the rule.",
  "caption": "Every dot lies right of the benchmark rule, and cancer and depression lie furthest left. Each dot is the mean for the tracts that are high on that condition, with a 95% interval from a bootstrap over counties; the rule marks the number expected if the conditions were unrelated across tracts.",
  "data": [
    {
      "condition": "Arthritis",
      "conf_high": 4.65,
      "conf_low": 4.48,
      "estimate": 4.57,
      "n": 20620
    },
    {
      "condition": "Cancer",
      "conf_high": 2.64,
      "conf_low": 2.39,
      "estimate": 2.51,
      "n": 21087
    },
    {
      "condition": "Asthma",
      "conf_high": 3.91,
      "conf_low": 3.55,
      "estimate": 3.73,
      "n": 20589
    },
    {
      "condition": "Coronary heart disease",
      "conf_high": 4.82,
      "conf_low": 4.63,
      "estimate": 4.73,
      "n": 21177
    },
    {
      "condition": "COPD",
      "conf_high": 4.98,
      "conf_low": 4.86,
      "estimate": 4.92,
      "n": 21048
    },
    {
      "condition": "Depression",
      "conf_high": 3.31,
      "conf_low": 2.96,
      "estimate": 3.12,
      "n": 20971
    },
    {
      "condition": "Diabetes",
      "conf_high": 4.69,
      "conf_low": 4.03,
      "estimate": 4.35,
      "n": 20549
    },
    {
      "condition": "Obesity",
      "conf_high": 4.15,
      "conf_low": 3.86,
      "estimate": 3.99,
      "n": 20885
    },
    {
      "condition": "Stroke",
      "conf_high": 5.04,
      "conf_low": 4.77,
      "estimate": 4.9,
      "n": 19866
    }
  ],
  "id": "others_high",
  "notes": [
    "PLACES values are modeled estimates. A model fitted to survey responses is applied to each tract's census population, so every condition's estimate depends on the same age, sex, race, ethnicity and education inputs and on county and state effects, and correlations across tracts are partly built in. The tract file carries no intervals, and the intervals shown here come from a bootstrap over counties.",
    "Weighting tracts by adults moves each mean by {fact:oh_wdiff} conditions or less."
  ],
  "source": "CDC PLACES 2024 release (BRFSS 2022) and ADI 2023; modeled estimates, unweighted (each tract counted once)",
  "spec": {
    "hi": "conf_high",
    "legend": false,
    "lo": "conf_low",
    "n": "n",
    "reference": 2.02,
    "referenceLabel": "If conditions were independent",
    "sort": "desc",
    "x": "estimate",
    "xDomain": [
      0,
      6
    ],
    "xFormat": {
      "digits": 1
    },
    "xLabel": "Other conditions (of eight) that are also high in the same tract (mean number)",
    "y": "condition"
  },
  "subtitle": "Mean number of the other eight conditions that are also high in a tract, for tracts in the highest {fact:cut_pct} of tracts on each condition, 2022",
  "title": "Tracts high on stroke are also high on {fact:oh_stroke} of the other eight conditions on average, against {fact:oh_cancer} for tracts high on cancer and {fact:oh_indep} if the conditions were independent",
  "type": "dot",
  "width": "body"
}