Summary statistics of the share of vehicle listings (p) across US census
tracts, measuring the distribution of local market shares for different
vehicle market segments. Values are computed per census tract based on
dealers reachable within a 60-minute drive time isochrone, then summarized
across tracts. Three grouping variables are included: powertrain, vehicle
type, and price bin, each crossed with inventory type and listing year.
Usage
data(p_local)Format
A tibble with 11 variables:
| Variable | Description |
group_var | Grouping variable: "powertrain", "vehicle_type", or "price_bin" |
group_level | Level of the grouping variable (e.g., "Gasoline", "Car", "$30k-$40k") |
inventory_type | Inventory type: "New" or "Used" |
listing_year | Year of the vehicle listing |
mean | Mean local market share across census tracts |
median | Median local market share across census tracts |
q25 | 25th percentile local market share across census tracts |
q75 | 75th percentile local market share across census tracts |
IQR | Interquartile range of local market share across census tracts |
upper | Upper whisker bound (q75 + 1.5 * IQR) |
lower | Lower whisker bound (q25 - 1.5 * IQR) |
Source
Computed from vehicle listings data from Marketcheck.
Details
Census-tract-level values (before summarization) are available as parquet files on GitHub at https://github.com/vehicletrends/vehicletrends/releases/tag/data-v1.
Examples
data(p_local)
head(p_local)
#> # A tibble: 6 × 11
#> group_var group_level inventory_type listing_year mean median q25
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 powertrain Battery Electr… New 2025 0.0427 0.0411 0.0340
#> 2 powertrain Battery Electr… New 2024 0.0463 0.0444 0.0376
#> 3 powertrain Battery Electr… Used 2021 0.00541 0.00459 0.00345
#> 4 powertrain Battery Electr… Used 2024 0.0201 0.0157 0.0125
#> 5 powertrain Battery Electr… Used 2023 0.0131 0.0113 0.00882
#> 6 powertrain Battery Electr… Used 2022 0.00872 0.00706 0.00579
#> # ℹ 4 more variables: q75 <dbl>, IQR <dbl>, upper <dbl>, lower <dbl>