It’s not quite as difficult as locating a grain of salt in the Pacific Ocean. But sometimes, trying to find a cost-effective apartment home in the Los Angeles metropolitan area can seem nearly as challenging for prospective renters.

Owner/operators can ease this burden by setting their prices closer to what consumers are seeking—and willing to pay—in their neighborhoods. Proper pricing, naturally, can lead to higher occupancy, increased demand and maximized revenue.

We took a look at our internal data on apartment searches in the LA market and found significant variance in the most-searched price ranges of each submarket. Consumers seem to understand the cost discrepancies in more prominent markets, but optimistically search using a price range lower than market value in each submarket.

For instance, the median one-bedroom apartment home in Northridge is listed for $1,400 and the median two-bedroom for $1,800. Consumers most often search the area in the $1,100 to $1,300 range. In upper-tier markets such as Beverly Hills, consumers frequently search up to $2,500, while the median two-bedroom home is listed for $3,000.

Consumers are most hopeful in Santa Monica (search range of $1,500-$2,000 when median one-bedroom homes are $2,300 and two-bedrooms are $3,200) and most realistic in Sherman Oaks and Woodland Hills, where searches are on par with pricing.

Here is a recent breakdown of a handful of key Los Angeles markets:

However, the acquired price-range data—and the manner it is searched—is gold to owner/operators. This allows them to understand what prospective residents are seeking, what their comps are charging and creates the ability to hone in on the true market value of their apartment homes.

Are they charging too much in Santa Monica? Too little in Sherman Oaks? Those are questions worth pondering with metro-wide data to consider.

Owner/operators and consumers alike can get a further breakdown with the Neighborhood Finder tool on Rent.com, an interactive map of the LA metropolitan area that filters in real-time results for more concentrated submarkets.

The more owner/operators understand the surrounding markets, the more likely they can implement effective pricing that will keep their communities full without selling themselves short.