Time use categories (how can I get a full 24 hours using categories?)

I am writing my undergrad thesis on sleeps effect on minutes worked. I am using Ipums categories to make a sort of “diary day” to divide categories. I am using my own created time use variables for this.

I am using the following created variables:
Sleeping (010100) → as ACT_SLEEPMINS

Socializing, Relaxing, and Leisure (120000) → as ACT_LIESURE

Work and Work-Related Activities (050000) → as ACT_WORKMINS

These categories (when you expand the activities) would seem to sum to 24 hours, but when I use Stata to describe the variable, they do not add up to 24 hours. What else could I try to get the hours all the way to 24 hours, so my regressions can have a more causal interpretation?

Thanks for any ideas you may have!

Each person’s time diary in the ATUS data is made up of 1440 minutes, or 24 hours. Each time use episode or activity is coded based on a multi-level classification system that includes major activity categories (e.g., personal care), more detailed activity groupings (e.g., sleeping), and most detailed activities (e.g., sleeplessness).

Adding up time spent on all major activity categories will result in a total of 1440 minutes. Similarly, adding up all time spent on the most specific activity categories will result in a total of 1440 minutes. To reach 1440 minutes, however, you need to ensure that you have created time use variables that are collectively exhaustive. This means you have included every category of time use, whether you include an activity in its most specific form (e.g., sleeplessness) or in its most broad category (e.g., personal care). Your time use variables will also only add up to exactly 1440 minutes if they are mutually exclusive, meaning no activity is captured in more than one variable. If, for example, you created a variable that measured time spent on sleep, and another variable that measured time spent on personal care, there would be overlap between the two—sleep is an activity within the major category of Personal Care, and so time spent on sleep would be counted twice. The variables you’ve created so far do not seem to have a mutual exclusivity problem, but they are not collectively exhaustive (or will not be for all persons).

I highly recommend looking through the ACTIVITY variable on IPUMS ATUS, which allows you to see how all the activity categories are nested together. You can also visualize this structure when creating the custom time use variables you are using and expanding/collapsing the activities that you will include or exclude. When you create your own custom time use variable, you can select any level of specificity. But every activity must be included in order to add up to 1440 minutes.

The screenshot below is the activity selection menu from the ATUS custom time use variable builder tool. Here you can see the broad categories are Personal Care, Household Activities, Caring for and Helping Household Members, and so on. I’ve expanded the broad Personal Care category to show the second level categories: Sleeping, Grooming, Health-Related Self Care, Personal Activities, Personal Care Emergencies, and Personal Care, n.e.c. I’ve also expanded the Sleep category to show the most detailed categories:

Screenshot 2026-04-30 at 11.56.59 AM.png

You can also manually create a variable that captures time use on all other activities that you did not create variables for. In the programming language or software you are using, you would simply calculate 1440 - [time use variable 1] - [time use variable 2] = [time spent on all other activities]. This will only work if your time use variables are mutually exclusive, as described earlier.