{
  "alt": "Concentration curve of firearm homicide deaths. The curve climbs steeply from the origin, reaching {fact:thr_half} of deaths at {fact:nat_half} of residents and {fact:thr_q3} of deaths at {fact:nat_three_q}, then flattens along the top of the chart. A dashed diagonal marks equal shares and a narrow band surrounds the curve.",
  "caption": "The curve rises far above the equal-shares line: the clusters holding the highest-rate tenth of residents hold {fact:nat_top10} of deaths, and {fact:nat_zero} of residents live in clusters with a rate of zero. The line plots the cumulative share of deaths against the cumulative share of residents, with a 95% interval from a bootstrap over counties; the dashed line marks equal shares.",
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      "series": "Firearm homicide deaths",
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    },
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      "series": "Equal shares",
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    },
    {
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      "series": "Equal shares",
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    },
    {
      "conf_high": null,
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      "series": "Equal shares",
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    },
    {
      "conf_high": null,
      "conf_low": null,
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      "series": "Equal shares",
      "share_deaths": 91
    },
    {
      "conf_high": null,
      "conf_low": null,
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      "series": "Equal shares",
      "share_deaths": 92
    },
    {
      "conf_high": null,
      "conf_low": null,
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      "series": "Equal shares",
      "share_deaths": 93
    },
    {
      "conf_high": null,
      "conf_low": null,
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      "series": "Equal shares",
      "share_deaths": 94
    },
    {
      "conf_high": null,
      "conf_low": null,
      "pct_residents": 95,
      "series": "Equal shares",
      "share_deaths": 95
    },
    {
      "conf_high": null,
      "conf_low": null,
      "pct_residents": 96,
      "series": "Equal shares",
      "share_deaths": 96
    },
    {
      "conf_high": null,
      "conf_low": null,
      "pct_residents": 97,
      "series": "Equal shares",
      "share_deaths": 97
    },
    {
      "conf_high": null,
      "conf_low": null,
      "pct_residents": 98,
      "series": "Equal shares",
      "share_deaths": 98
    },
    {
      "conf_high": null,
      "conf_low": null,
      "pct_residents": 99,
      "series": "Equal shares",
      "share_deaths": 99
    },
    {
      "conf_high": null,
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      "pct_residents": 100,
      "series": "Equal shares",
      "share_deaths": 100
    }
  ],
  "id": "national_concentration",
  "notes": [
    "A cluster is a group of neighboring tracts for which CDC publishes one rate, repeated on each member tract; the median tract belongs to a cluster of {fact:clu_tract_median} tracts and the largest cluster has {fact:clu_tract_max}. The curve counts each of the {fact:nat_n_clusters} clusters once, so its unit is the cluster, not the tract.",
    "Left out: New York City, where CDC records almost no deaths in this file, and the clusters where CDC withholds the rate in at least one year from 2022 to 2024 ({fact:nat_withheld} of residents outside New York City). The data for 2024 are provisional, and CDC withholds more rates for that year ({fact:wh_clu_2024} clusters, against {fact:wh_clu_2022} in 2022). Filling the withheld years from the published count range gives between {fact:nat_fill_min} and {fact:nat_fill_max} of residents holding {fact:thr_half} of deaths.",
    "Deaths are each cluster's annual rate times its residents, averaged over the three years. With the same residents on both sides they come to {fact:nat_tract_ratio} of the deaths the county file implies for the same counties, so the curve describes shares and not totals. The shortfall is uneven: the clusters imply {fact:under_essex} of the county file's deaths in Essex County, New Jersey, {fact:under_suffolk} in Suffolk County, Massachusetts, {fact:under_sd} in San Diego County, California, and {fact:under_sc} in Santa Clara County, California, the counties where they imply under {fact:under_cut} of a county-file toll of at least {fact:under_floor} deaths a year. Dropping the clusters of those four counties moves the share holding {fact:thr_half} of deaths to {fact:nat_half_excl}.",
    "Intervals are 95% intervals from a bootstrap that draws whole counties with replacement (replicates and seed are in the methods note). They describe which places are in the file and do not include the modeling error in CDC's rates. Puerto Rico is absent from the tract file."
  ],
  "source": "CDC Mapping Injury, Overdose, and Violence, tract file, firearm homicide, 2022-2024; modeled estimates for tract clusters; ACS 2019-2023 population",
  "spec": {
    "annotations": [
      {
        "label": "Midpoint of deaths",
        "series": "Firearm homicide deaths",
        "type": "point",
        "x": 9.5,
        "y": 50
      }
    ],
    "bandSeries": [
      "Firearm homicide deaths"
    ],
    "colors": {
      "Equal shares": "muted",
      "Firearm homicide deaths": "homicide"
    },
    "dashed": [
      "Equal shares"
    ],
    "hi": "conf_high",
    "lo": "conf_low",
    "series": "series",
    "x": "pct_residents",
    "xDomain": [
      0,
      100
    ],
    "xLabel": "Cumulative share of residents, clusters ranked from the highest rate (%)",
    "y": "share_deaths",
    "yDomain": [
      0,
      100
    ],
    "yLabel": "Cumulative share of firearm homicide deaths (%)"
  },
  "subtitle": "Cumulative share of implied firearm homicide deaths against cumulative share of residents, tract clusters ranked from the highest to the lowest mean annual rate, 2022 to 2024, outside New York City",
  "title": "The tract clusters with the highest firearm homicide rates hold {fact:thr_half} of implied deaths and {fact:nat_half} of residents outside New York City",
  "type": "line"
}