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    "filled": 23,
    "filled_pct": 88,
    "progress_class": "warning",
    "schema": "sdohplace",
    "to_fill": 26
  },
  "access_rights": "Public",
  "alternative_title": [
    "NaNDA Traffic Volume by Census Tract and ZIP Code Tabulation Area, United States, 1963-2019"
  ],
  "bounding_box": null,
  "centroid": null,
  "creator": [
    "Jessica M. Finlay",
    "Robert Melendez",
    "Michael Esposito",
    "Anam Khan",
    "Mao Li",
    "Iris Gomez-Lopez",
    "Philippa Clarke",
    "Megan Chenoweth"
  ],
  "data_usage_notes": "The purpose of this study is to characterize the average volume of traffic passing through a census tract and a ZIP code tabulation area in a given year.\r\n\r\n",
  "data_variables": [
    "Number of highway traffic measurements in tract",
    "Number of intersections in ZCTA",
    "Number of intersections in tract",
    "Number of non-highway traffic measurements in tract",
    "Number of traffic measurements in tract",
    "Average daily highway traffic per intersection",
    "Average daily non-highway traffic per intersection",
    "Average daily traffic per intersection",
    "Census tract FIPS code",
    "Flag for interpolated value",
    "Highest average daily highway traffic count in tract",
    "Highest average daily non-highway traffic count in tract",
    "Highest average daily traffic count in tract",
    "Interpolated: Number of highway traffic measurements in ZCTA",
    "Interpolated: Number of non-highway traffic measurements in ZCTA",
    "Interpolated: Number of traffic measurements in ZCTA",
    "Interpolated: Highest average daily highway traffic count in ZCTA",
    "Interpolated: Highest average daily non-highway traffic count in ZCTA",
    "Interpolated: Highest average daily traffic count in ZCTA",
    "Interpolated: Lowest average daily highway traffic count in ZCTA",
    "Interpolated: Lowest average daily non-highway traffic count in ZCTA",
    "Interpolated: Lowest average daily traffic count in ZCTA",
    "Interpolated: Mean of average daily highway traffic counts in ZCTA",
    "Interpolated: Mean of average daily non-highway traffic counts in ZCTA",
    "Interpolated: Mean of average daily traffic counts in ZCTA",
    "Interpolated: Sum of average daily highway traffic counts in ZCTA",
    "Interpolated: Sum of average daily non-highway traffic counts in ZCTA",
    "Interpolated: Sum of average daily traffic counts in ZCTA",
    "Interpolated: Traffic count year",
    "Interpolated: Avg daily traffic per intersection",
    "Lowest average daily highway traffic count in tract",
    "Lowest average daily non-highway traffic count in tract",
    "Lowest average daily traffic count in tract",
    "Mean of average daily highway traffic counts in tract",
    "Mean of average daily non-highway traffic counts in tract",
    "Mean of average daily traffic counts in tract",
    "Sum of average daily highway traffic counts in tract",
    "Sum of average daily non-highway traffic counts in tract",
    "Sum of average daily traffic counts in tract",
    "Traffic count year",
    "ZIP code tabulation area"
  ],
  "date_issued": "2022-11-07",
  "date_range": [],
  "description": [
    "This dataset contains measures of traffic volume per census tract and ZIP code tabulation area (ZCTA) in the United States from 1963 to 2019 (primarily 1997 to 2019). High traffic volume may be used as a proxy for heavy traffic, high traffic speeds, and impediments to walking or biking. The dataset contains measures of the average, maximum, and minimum traffic volume per year or per ZCTA per year. These figures are available for all streets, highways, and non-highways. In the ZCTA dataset, data is collected intermittently across locations over time, therefore traffic volume has been interpolated for years in which no measures are available. Data Source: Traffic volume measurements are derived from Kalibrate's TrafficMetrix database accessed via Esri Demographics. Census tract boundaries come from the 2010 TIGER/Line shapefiles. ZCTA boundaries come from the 2019 TIGER/Line shapefiles."
  ],
  "display_note": [],
  "featured_variable": [],
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  "georeferenced": false,
  "highlight_ids": [],
  "id": "herop-qmreas",
  "identifier": [
    "https://doi.org/10.3886/ICPSR38584.v2"
  ],
  "index_year": [
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    2019
  ],
  "is_part_of": [
    "herop-zrurpe"
  ],
  "is_replaced_by": [],
  "is_version_of": [],
  "keyword": [
    "census tract level",
    "geography",
    "neighborhood characteristics",
    "traffic",
    "transportation",
    "walkability"
  ],
  "language": [
    "eng"
  ],
  "license": [],
  "member_of": [],
  "metadata_version": "SDOH PlaceProject",
  "methods_variables": [
    "TrafficMetrix: average annual daily traffic, average annual weekday traffic, average daily traffic, latitude and longitude,ZCTA, average, maximum, minimum, and number of traffic volume measurements across all locations in a tract and ZCTA, highway traffic vs. non-highway traffic, ZIP code tabulation area, census tract, Cross-sectional"
  ],
  "modified": "2025-10-10T19:06:08Z",
  "preferred_citation": "Finlay, Jessica M., Melendez, Robert, Esposito, Michael, Khan, Anam, Li, Mao, Gomez-Lopez, Iris, \u2026 Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Traffic Volume by Census Tract and ZIP Code Tabulation Area, United States, 1963-2019 . Inter-university Consortium for Political and Social Research [distributor], 2022-11-10. https://doi.org/10.3886/ICPSR38584.v2",
  "provider": "Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign",
  "publisher": [
    "University of Michigan. Institute for Social Research"
  ],
  "references": {
    "http://schema.org/url": "https://doi.org/10.3886/ICPSR38584.v2"
  },
  "relation": [],
  "replaces": [],
  "resource_class": [
    "Datasets"
  ],
  "resource_type": [
    "Point data",
    "Road maps",
    "Table data"
  ],
  "rights": [],
  "rights_holder": [],
  "source": [],
  "spatial_coverage": [
    "United States"
  ],
  "spatial_resolution": [
    "Census Tract",
    "Zip Code Tabulation Area (ZCTA)"
  ],
  "spatial_resolution_note": null,
  "subject": [
    "Neighborhood and Built Environment",
    "Transportation and Infrastructure"
  ],
  "suppressed": false,
  "temporal_coverage": [
    "1963-2019"
  ],
  "theme": [
    "Society",
    "Structure",
    "Transportation"
  ],
  "title": "Traffic Volume (NaNDA)",
  "wxs_indentifier": null
}