Figure 24: Selecting an additional location for comparison.
To make the comparison clearer in the table, we will de- select the “Margin of Error” button, highlighted in Figure 24. This does not mean that the margin of error is not important, but it will allow us to see estimates of Los Angeles and San Bernardino side by side; we can always click the “Margin of Error” button again to display the additional information. We are also able to more easily compare both counties to estimates for the whole state of California. After selecting these options, we can collapse the options screen and review our results. Using the example of housing tenure that tells us about these areas’ renter population, Figures 25a, b, and c show estimates for our three geographies. We can learn that in the state of California, renters occupy 45.2 percent of all housing units. In Los Angeles County, as we know from our previous steps, this percentage is slightly higher, at 54.2 percent. This means that Los Angeles County has an approximately 10 percent higher renter population than the state average. In comparison, renters occupy 40.2 percent of housing units in San Bernardino County. San Bernardino County therefore has a lower percentage of renter-occupied housing units compared to both Los Angeles County and the state. This comparison suggests that Los Angeles County may have a higher population of renters and a potentially higher risk for more evictions during the pandemic than the entire state and San Bernardino County. This concludes our comparison, and we’ve learned how to work with tables. In the next case study, we’ll get familiar with a different table type, learn how to download a table, and how to filter table information to simplify our view and make the table easier to read.
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