house: House data

In tripaccess: American Travel Behavior and Access Datasets

House data

Description

Include household characteristics categorical and numeric variables.

Usage

house

Format

A data frame with 129695 rows (each row is a household) and 9 columns

household_id

Household identifier. Use this variable to join the house dataset and the person dataset as well as join the house dataset and the trip dataset.

region

2010 Census division classification for the respondent's home address.

number_drivers

Number of drivers in household.

count_household_members

Count of household members.

number_vehicles

Count of household vehicles.

household_life_cycle

Life Cycle classification for the household, derived by attributes pertaining to age, relationship, and work status.

count_adult_household_members

Count of adult household members at least 18 years old.

number_workers

Number of workers in household.

count_young_child

Count of persons with an age between 0 and 4 in household.

Source

https://nhts.ornl.gov/

Examples

if (require("tidyverse")) {
# Filtered to households with at least one driver
house_with_drivers <- house |>
  filter(number_drivers > 0)

# Filtered to households with at least one vehicle
house_with_vehicles <- house_with_drivers |>
  filter(number_vehicles > 0)

# Plot household vehicles by number of drivers
ggplot(data = house_with_vehicles,
       aes(x = number_drivers,
           y = number_vehicles)) +
  geom_jitter(alpha = 0.08, width = 0.15, height = 0.15) +
  geom_smooth(method = lm, se = FALSE, formula = y ~ x, color = "blue") +
  labs(title = "Household Vehicles versus Number of Drivers",
       x = "Number of Drivers in Household",
       y = "Number of Household Vehicles") +
  theme_bw()
}

tripaccess documentation built on Aug. 29, 2026, 1:07 a.m.