{
  "alt": "A fifteen by fifteen grid of correlations among the rebuilt measures, ordered with the six measures of advantage first and the nine measures of hardship after. Dollar measures correlate positively with each other, hardship measures correlate positively with each other, and the two groups correlate negatively; home value's correlations with the hardship measures are small to moderate.",
  "caption": "The four dollar measures and white-collar work correlate strongly with one another, the hardship measures mostly correlate positively with one another, and the two groups correlate negatively; the home value row stays modest against the hardship columns. Each cell is the correlation between two measures across tracts, weighted by tract population, with a 95% interval from a bootstrap over counties. Rows and columns share one order, the measures of advantage first.",
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    },
    {
      "conf_high": 0.246,
      "conf_low": 0.197,
      "measure": "Under 9 years of school",
      "n": 75717,
      "other": "Unemployment",
      "r": 0.222
    },
    {
      "conf_high": 0.366,
      "conf_low": 0.315,
      "measure": "Under 9 years of school",
      "n": 75717,
      "other": "Single parents",
      "r": 0.341
    },
    {
      "conf_high": 0.266,
      "conf_low": 0.161,
      "measure": "Under 9 years of school",
      "n": 75717,
      "other": "No vehicle",
      "r": 0.211
    },
    {
      "conf_high": 0.698,
      "conf_low": 0.571,
      "measure": "Under 9 years of school",
      "n": 75717,
      "other": "Crowding",
      "r": 0.636
    },
    {
      "conf_high": 0.1,
      "conf_low": 0.046,
      "measure": "Under 9 years of school",
      "n": 75717,
      "other": "No plumbing",
      "r": 0.071
    },
    {
      "conf_high": null,
      "conf_low": null,
      "measure": "Under 9 years of school",
      "n": null,
      "other": "Under 9 years of school",
      "r": 1
    }
  ],
  "id": "input_correlations",
  "notes": [
    "Cells toward the teal end of the key are positive correlations and cells toward the brown end negative ones. The diagonal is one by construction and has no interval.",
    "The correlations use the measures as the ACS reports them: dollars for the four dollar measures, proportions for the rest and the log ratio for income disparity. The staged ACS file has no margins of error."
  ],
  "source": "ACS 2019-2023 five-year tract estimates (staged ACS file and Census API pull of housing measures); population-weighted (ACS tract population)",
  "spec": {
    "col": "other",
    "colOrder": [
      "Family income",
      "Home value",
      "Gross rent",
      "Mortgage cost",
      "White-collar jobs",
      "Homeownership",
      "Poverty",
      "Below 150% of poverty",
      "Income disparity",
      "Unemployment",
      "Single parents",
      "No vehicle",
      "Crowding",
      "No plumbing",
      "Under 9 years of school"
    ],
    "hi": "conf_high",
    "lo": "conf_low",
    "n": "n",
    "row": "measure",
    "rowOrder": [
      "Family income",
      "Home value",
      "Gross rent",
      "Mortgage cost",
      "White-collar jobs",
      "Homeownership",
      "Poverty",
      "Below 150% of poverty",
      "Income disparity",
      "Unemployment",
      "Single parents",
      "No vehicle",
      "Crowding",
      "No plumbing",
      "Under 9 years of school"
    ],
    "scale": {
      "domain": [
        -1,
        0,
        1
      ],
      "palette": "neutral",
      "type": "diverging"
    },
    "showValues": true,
    "value": "r",
    "valueFormat": {
      "digits": 2,
      "signed": true
    }
  },
  "subtitle": "Population-weighted Pearson correlations among the {fact:n_rebuilt} rebuilt measures in their own units, {fact:n_tracts} tracts, ACS 2019 to 2023",
  "title": "Home value correlates {fact:r_hv_pov} with the poverty rate across tracts, a weaker link than family income has at {fact:r_inc_pov}",
  "type": "heatmap",
  "width": "wide"
}