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Compton dmv wait time10/21/2023 Yet more reassuringly, the median of the 75th percentile of the wait times is about 20 minutes. There are, however, a few field offices, e.g., Hollywood and Temecula, where the median wait time is over 40 minutes. The median wait time (median of the hourly buckets) across facilities is around 12 minutes. Correlations Between Wait Time and SociodemographicsĬA DMV, on the whole, seems to be doing an excellent job.The primary weakness of using this approach is that there is a mismatch between the population of interest (identified in the first sentence) and the quantity we use. Census's 2019 American Community Survey (5-year Estimates). We pulled it from the "Age and Sex", "Commuting Characteristics by Sex", and "Median Income in the Past 12 Months" tables from the U.S. For our first version, however, we choose something yet simpler: sociodemographic data of the field office's zip code gotten via the census API. (Note: we can switch it to a random sample to reduce computational costs.) We can solve the problem by choosing a more coarse geographical unit for which census data is available and then solve a problem that finds the closest DMV office for each coarse geographical unit, approximated by its centroid. Furthermore, to solve it correctly, we need to construct a distance matrix between households and DMV offices, which is expensive. And we would need to infer variables of interest like income from the property value of the house, which means our measures will have a fair degree of error. We can get some of the data on household location from voter files, property records, etc. But that requires us to know where each household is located and the sociodemographics of each household. Ideally, we want the sociodemographic composition of the patrons. We assume that the patrons for a DMV office are households for which the respective DMV office is the closest. * Output Column Names Sociodemographic Data The script depends on three pieces of data that we have stored as Python lists: To scrape the data, we ran scripts/get_dmv_wait_data.py. Note CA DMV does not report over how long a period it averages the wait time. The final dataset can be downloaded here.
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