Understanding the PriceLabs Neighborhood Data feature

Listing Neighborhood Data

When pricing any listing, there are always several questions that come up:
  1. What is the average price in your area?
  2. How are prices compared to comps? How does occupancy compare?
  3. How are listings priced in the next months? Are they getting booked?
  4. Are there certain dates that are getting booked more than others? Are other listings in your immediate neighborhood increasing prices for peak demand?
The Neighborhood Data feature can be used to investigate the answer to some of these questions. Even though there are a number of other factors that can affect how rates are set, we hope that this hyper-local data will be a convenient place for PriceLabs' users to explore local trends.

To access it, click on the "Neighborhood Data" tab on the Review Prices view from the Pricing Dashboard for one of your listings to view useful information about other listings in your locality. Note that all prices will be in the same currency as your listing. 

Starting at the top of the view, you can see a bedroom filter, click and drag to filter out your selected bedroom range -

Data Source

You can now choose between 2 different data sources for your neighborhood data analysis.
The two options are:

1. Nearby Listings

  1. You can Select any of your active dashboards as the data source
    1. Then choose a bedroom category or a comp set
    2. The summary table will render Booked Prices along with Percentile prices if Market dashboard is the data source
    3. Compare Competitor Calendar will work across data sources, i.e., the options will depend on the data source, but once selected, they will stay till removed. You can compare listings between VRBO and Airbnb.
  2. If you have no Market Dashboard subscribed to
    1. You will see a prompt asking to create a Market Dashboard, the 'Create One Now!' link will redirect you to Market Dashboard page.
  3. If Market Dashboard is selected as a data source, but later the subscription for Market Dashboard ends, we'll automatically default to nearby listings.
Important Notes:
  1. Market Dashboard is a separate product, and we will charge extra for these dashboards. More information here.
  2. After creating a compset, make sure to view the compset first on the Market Dashboard so you can access it as a Data Source. Otherwise, it will take overnight to load before you can access the compset from the list of Data Source.

What this enables:
  1. Customers who create curated comp-sets in MD and want to compare rates against it for a new unique property in ND (frequently, these customers would do this in PA, but until they had a reservation, PA wouldn't work) - this could be properties with pools, professionally managed, etc.
  2. Customers who want to include comps in CCC (Compare competitor calendar) from a wider area that wasn't close enough in ND will be able to do that now.

Future Prices And Occupancy

The Future Prices chart shows you your Last Seen Price (dotted line) and Final Prices (solid line), along with the 25th-50th percentile range (Gray), 50th-75th percentile range (Dark Pink), 75th-90th percentile range (Light Pink) of daily rates for the next year.

When you hover over the chart, you will see your actual last seen and final prices for that date with the 25th, 50th, and 75th percentile prices (the low, average, and high for your locality). Be sure to pay attention to each field as you move through the year; your last seen and final prices will move depending on where they fall compared to competitors' prices. 

When looking at the Future Prices Chart, keep in mind that your Last Seen Price is the price we saw from your listing on your PMS, channel, or channel manager; this is updated any time a sync or Save & Refresh is done. If this listing has been syncing with PriceLabs for at least a day, this is usually yesterday's rate. The Final Price is the price currently shown on your PriceLabs calendar. If you're seeing a slight difference between the last seen and final pricing lines and haven't made any changes to your base price or customizations, you are likely seeing the difference between yesterday's and today's rates. 

Booking Data:
This data overlay allows you to see the Average Daily Rate of your upcoming and last year's bookings along with your future prices.
This is only available for integrations wherein the Portfolio Analytics is available. You can check our list here.
  1. Your Upcoming bookings (green) - this data shows your ADR for your upcoming bookings in the next 12 months.
  2. Your Last Year bookings (blue) - this data shows your ADR and the booking dates during the same period in the previous year.
    future prices
For multi-unit listings, booking data is currently NOT available.

The Future Occupancy Chart shows you the average occupancy in your area for each date over the next year in grey, overlaid with any existing blocked dates for your listing in red.

Data Overlay:
  1. Add Last Year Data
    1. Last year today - This data shows the current market occupancy last year on the very same day. With this data, you can better evaluate whether bookings are coming in slower, faster, or at the same pace as last year.
    2. Last Year Final - This data provides the final occupancy of the past year, which can also provide insights on the occupancy level for far-out dates. For example, in the graph below for July 4th, the 2023 (red) data shows very low market occupancy; however, in last year's data, the occupancy is at 51.30% thus, this means that the occupancy can still pick up, and you can expect more bookings to come in the next few months.

  2. Add Pickup
    1. This data illustrates how many bookings have come into the market in the last 7 days. For example, in the graph below, For the Jan 30th stay date, the market occupancy is 13.4%. Out of this, 8.3% came in the last 7 days. This 8.3% is similar to the pick up we saw same time last year (which was 8.2%, so this year it is about 0.1% higher!)

Minimum Stay Settings

The Minimum Stay Settings chart offers a preview of the stay restriction settings that have been applied to your listing for the chosen time frame. You can also view which rule is being applied on a specific day by clicking the "Options" button and selecting "Show Reasons".


The Overview chart provides the precise count of listings by the number of bedrooms and displays the average low, mid, and high prices for these listings, considering their prices over the past 180 days and for the next 180 days. Among the 70 two-bedroom listings in this area, the average prices were $203 per night at the lower end, $250 per night in the middle range, and $318 per night at the higher end of the pricing spectrum.


The map view shows you the approximate location for the listings in your neighborhood along with the average daily rates for the next 60 days. You can zoom in to see more detail on listing locations, and hover over any bubble to see the average rate. The color of each dot is determined by the  listing's average rate. The map also contains listing name and min stay in hover tool tip (Airbnb listings only).

Compare Competitor Calendar

This feature allows you to compare your listing with other specific listings in your neighborhood (up to 10 listings).  Your listing prices are shown in bold, unavailable dates are greyed out and clicking on listing name in table will take you to the listing on portal.

To select the listings, first click on the " Pick Listings" button and select up to 10 listings - 

After you have selected the listings, click on " Get Calendar" to see your competitor's rates:

Note: Unavailable dates are crossed out where prices shown are the "booked prices" (prices last seen when the dates were still available). This is also mentioned in the tooltip shown above.

Download CSV

You can also download all the data in this tab in a CSV file.

  1. Neighborhood Data shows aggregated data from a limited number of listings in the immediate surrounding area, and it is not intended for market research.
  2. This aggregate data might contain listings with different fee structures - fees are usually added on top of the prices used for this analysis, but not always. Therefore, there is some uncertainty in the data, and these numbers should be interpreted as trends.
  3. Rates on the Map and Compare Competitor Calendar are updated every 48 hours, while new listings are added and refreshed every 15 days.

    • Related Articles

    • Listing Hotel Data

      Knowing how hotels and short-term rentals are performing in your area is essential because potential guests consider both options when planning their vacations. Keeping track of both types of accommodations allows you to stay competitive in your ...
    • Setting your base price

      What is the base price? Base price is the average rate you would charge across the year. We use the base price as a starting price and apply all market factors, demand patterns, and customizations on top of this. The base price includes the quality ...
    • Migrating to Hyper Local Pulse (less than 10 listings)

      How to migrate in 5 simple steps Here's a quick video on 5 simple steps to migrate your listings to HLP. How to migrate your listing to HLP in 5 simple steps. From the Pricing Dashboard, click Row/column visibility, and tick the checkbox for ...
    • About Hyper Local Pulse (New Algorithm) and FAQ

      Tell me more about Hyper Local Pulse? (FAQs) Why is Hyper Local Pulse better? Hyper Local Pulse is a superior version of our existing algorithm. It uses cutting-edge techniques to do demand forecasting and elasticity estimation at a hyper local level ...
    • Migrating to Hyper Local Pulse (more than 10 listings)

      Please note that you'll be guided with the changes required with clear instructions in the personalized migration email you'll receive from PriceLabs. Step 1: Create or Identify Groups If you manage many listings, we hope you are typically using ...