This page contains a data dictionary and a description of all response fields for our market data endpoint (/markets).

Market Statistics Response Fields

The following response fields will be returned by the market statistics endpoint ( /markets):

Response Field	Description	Example Value
`id`	Zip Code Id Data type: String The zip code id, as a 5-digit number	`"29611"`
`zipCode`	Zip Code Name Data type: String The zip code name, as a 5-digit number	`"29611"`
`saleData`	Sale Data Data type: Object A field containing aggregate sale market statistics and property price trends for this zip code	`{ ... }`
`saleData .lastUpdatedDate`	Sale Data - Date Last Updated Data type: Date The date sale market statistics were last updated for this zip code, in ISO 8601 format	`"2025-08-26T00:00:00.000Z"`
`saleData[...]`	Sale Data - Statistics Fields Data type: Number A set of sale market statistics fields for all properties in this zip code. See explanation of sale statistics fields for more information	See examples in the following section
`saleData .dataByPropertyType`	Sale Data - Data by Property Type Data type: Array A list of sale market statistics broken down and grouped by property type	`[ ... ]`
`saleData .dataByPropertyType[] .propertyType`	Sale Data by Property Type - Property Type Data type: String (Enum) The type of property for each group. See explanation of property types for possible values	`"Condo"`
`saleData .dataByPropertyType[] [...]`	Sale Data by Property Type - Statistics Fields Data type: Number A set of sale market statistics fields for each property type. See explanation of sale statistics fields for more information	See examples in the following section
`saleData .dataByBedrooms`	Sale Data - Data by Bedroom Data type: Array A list of sale market statistics broken down and grouped by the number of bedrooms	`[ ... ]`
`saleData .dataByBedrooms[] .bedrooms`	Sale Data by Bedroom - Number of Bedrooms Data type: Number The number of bedrooms for each group, with a value of `0` indicating a studio layout	`1`
`saleData .dataByBedrooms[] [...]`	Sale Data by Bedroom - Statistics Fields Data type: Number A set of sale market statistics fields for each number of bedrooms. See explanation of sale statistics fields for more information	See examples in the following section
`saleData.history`	Sale Data - History Data type: Object A list of monthly historical sale market statistics entries for this zip code, with JSON keys indicating the entry year and month, in the format `YYYY-MM`	`{ "2025-06": { ... } }`
`saleData .history[YYYY-MM]`	Sale Data - History Entry Data type: Object A single historical entry, with sale market statistics for a specific past month	`{ ... }`
`saleData .history[YYYY-MM] .date`	Sale Data History Entry - Date Data type: Date The date of the first day of the month for this history entry, in ISO 8601 format	`"2025-06-01T00:00:00.000Z"`
`saleData .history[YYYY-MM] [...]`	Sale Data History Entry - Statistics Fields Data type: Varies A set of historical sale market statistics fields, including statistics for all properties in this zip code, as well as statistics broken down and grouped by property type and number of bedrooms. See explanation of sale statistics fields for more information	See examples in the following section
`rentalData`	Rental Data Data type: Object A field containing aggregate rental market statistics and property rent trends for this zip code	`{ ... }`
`rentalData .lastUpdatedDate`	Rental Data - Date Last Updated Data type: Date The date rental market statistics were last updated for this zip code, in ISO 8601 format	`"2025-08-26T00:00:00.000Z"`
`rentalData[...]`	Rental Data - Statistics Fields Data type: Number A set of rental market statistics fields for all properties in this zip code. See explanation of rental statistics fields for more information	See examples in the following section
`rentalData .dataByPropertyType`	Rental Data - Data by Property Type Data type: Array A list of rental market statistics broken down and grouped by property type	`[ ... ]`
`rentalData .dataByPropertyType[] .propertyType`	Rental Data by Property Type - Property Type Data type: String (Enum) The type of property for each group. See explanation of property types for possible values	`"Apartment"`
`rentalData .dataByPropertyType[] [...]`	Rental Data by Property Type - Statistics Fields Data type: Number A set of rental market statistics fields for each property type. See explanation of rental statistics fields for more information	See examples in the following section
`rentalData .dataByBedrooms`	Rental Data - Data by Bedroom Data type: Array A list of rental market statistics broken down and grouped by the number of bedrooms	`[ ... ]`
`rentalData .dataByBedrooms[] .bedrooms`	Rental Data by Bedroom - Number of Bedrooms Data type: Number The number of bedrooms for each group, with a value of `0` indicating a studio layout	`1`
`rentalData .dataByBedrooms[] [...]`	Rental Data by Bedroom - Statistics Fields Data type: Number A set of rental market statistics fields for each number of bedrooms. See explanation of rental statistics fields for more information	See examples in the following section
`rentalData.history`	Rental Data - History Data type: Object A list of monthly historical rental market statistics entries for this zip code, with JSON keys indicating the entry year and month, in the format `YYYY-MM`	`{ "2025-06": { ... } }`
`rentalData .history[YYYY-MM]`	Rental Data - History Entry Data type: Object A single historical entry, with rental market statistics for a specific past month	`{ ... }`
`rentalData .history[YYYY-MM] .date`	Rental Data History Entry - Date Data type: Date The date of the first day of the month for this history entry, in ISO 8601 format	`"2025-06-01T00:00:00.000Z"`
`rentalData .history[YYYY-MM] [...]`	Rental Data History Entry - Statistics Fields Data type: Varies A set of historical rental market statistics fields, including statistics for all properties in this zip code, as well as statistics broken down and grouped by property type and number of bedrooms. See explanation of rental statistics fields for more information	See examples in the following section

Sale Statistics Fields

The following is a standard set of sale market statistics fields returned within the saleData field of the market data responses.

These statistical fields are calculated based on active sale listings in a given zip code. Each response will provide these fields for the following group types:

No grouping: statistics fields at the top level of the saleData field are calculated based on all sale listings in the zip code
Grouped by property type: statistics fields within the dataByPropertyType field are broken down and grouped by the property type of each listing. A separate set of statistics will be returned for each unique property type in the zip code
Grouped by property size: statistics fields within the dataByBedrooms field are broken down and grouped by the number of bedrooms of each listing. A separate set of statistics will be provided for each unique bedroom count in the zip code

In addition to sale market statistics for the current month, returned at the top level of the saleData field, the response will contain historical market statistics at monthly intervals in the saleData.history field.

Historical data will include sale market statistics for all properties in the zip code, as well as statistics broken down and grouped by property type and the number of bedrooms.

📘
Historical sale market statistics are available from January 2024. Note, there may be gaps in the historical data when there were not enough listings to generate statistically significant averages.

Response Field	Description	Example Value
`averagePrice`	Average Price Data type: Number The average sale price of all sale listings in the current group	`291933`
`medianPrice`	Median Price Data type: Number The median sale price of all sale listings in the current group	`276990`
`minPrice`	Minimum Price Data type: Number The minimum sale price of all sale listings in the current group	`20000`
`maxPrice`	Maximum Price Data type: Number The maximum sale price of all sale listings in the current group	`1500000`
`averagePricePerSquareFoot`	Average Price Per Sq.Ft. Data type: Number The average sale price per square foot of living area of all sale listings in the current group	`186.53`
`medianPricePerSquareFoot`	Median Price Per Sq.Ft. Data type: Number The median sale price per square foot of living area of all sale listings in the current group	`178`
`minPricePerSquareFoot`	Minimum Price Per Sq.Ft. Data type: Number The minimum sale price per square foot of living area of all sale listings in the current group	`64.9`
`maxPricePerSquareFoot`	Maximum Price Per Sq.Ft. Data type: Number The maximum sale price per square foot of living area of all sale listings in the current group	`500`
`averageSquareFootage`	Average Living Area (Sq.Ft.) Data type: Number The average indoor living area of all sale listings in the current group, in square feet	`1698`
`medianSquareFootage`	Median Living Area (Sq.Ft.) Data type: Number The median indoor living area of all sale listings in the current group, in square feet	`1600`
`minSquareFootage`	Minimum Living Area (Sq.Ft.) Data type: Number The minimum indoor living area of all sale listings in the current group, in square feet	`610`
`maxSquareFootage`	Maximum Living Area (Sq.Ft.) Data type: Number The maximum indoor living area of all sale listings in the current group, in square feet	`4588`
`averageDaysOnMarket`	Average Days on Market Data type: Number The average number of days sale listings in the current group have been active	`67.21`
`medianDaysOnMarket`	Median Days on Market Data type: Number The median number of days sale listings in the current group have been active	`45`
`minDaysOnMarket`	Minimum Days on Market Data type: Number The minimum number of days sale listings in the current group have been active	`2`
`maxDaysOnMarket`	Maximum Days on Market Data type: Number The maximum number of days sale listings in the current group have been active	`348`
`newListings`	Number of New Listings Data type: Number The number of active sale listings in the current group that have been added in a given month	`21`
`totalListings`	Number of Total Listings Data type: Number The total number of sale listings in the current group that have been active at any point in a given month	`265`

Rental Statistics Fields

The following is a standard set of rental market statistics fields returned within the rentalData field of the market data responses.

These statistical fields are calculated based on active rental listings in a given zip code. Each response will provide these fields for the following group types:

No grouping: statistics fields at the top level of the rentalData field are calculated based on all rental listings in the zip code
Grouped by property type: statistics fields within the dataByPropertyType field are broken down and grouped by the property type of each listing. A separate set of statistics will be returned for each unique property type in the zip code
Grouped by property size: statistics fields within the dataByBedrooms field are broken down and grouped by the number of bedrooms of each listing. A separate set of statistics will be provided for each unique bedroom count in the zip code

In addition to rental market statistics for the current month, returned at the top level of the rentalData field, the response will contain historical market statistics at monthly intervals in the rentalData.history field.

Historical data will include rental market statistics for all properties in the zip code, as well as statistics broken down and grouped by property type and the number of bedrooms.

📘
Historical rental market statistics are available from April 2020. Note, there may be gaps in the historical data when there were not enough listings to generate statistically significant averages.

Response Field	Description	Example Value
`averageRent`	Average Rent Data type: Number The average rental rate of all rental listings in the current group	`1521`
`medianRent`	Median Rent Data type: Number The median rental rate of all rental listings in the current group	`1495`
`minRent`	Minimum Rent Data type: Number The minimum rental rate of all rental listings in the current group	`750`
`maxRent`	Maximum Rent Data type: Number The maximum rental rate of all rental listings in the current group	`2700`
`averageRentPerSquareFoot`	Average Rent Per Sq.Ft. Data type: Number The average rental rate per square foot of living area of all rental listings in the current group	`1.38`
`medianRentPerSquareFoot`	Median Rent Per Sq.Ft. Data type: Number The median rental rate per square foot of living area of all rental listings in the current group	`1.3`
`minRentPerSquareFoot`	Minimum Rent Per Sq.Ft. Data type: Number The minimum rental rate per square foot of living area of all rental listings in the current group	`0.86`
`maxRentPerSquareFoot`	Maximum Rent Per Sq.Ft. Data type: Number The maximum rental rate per square foot of living area of all rental listings in the current group	`2.59`
`averageSquareFootage`	Average Living Area (Sq.Ft.) Data type: Number The average indoor living area of all rental listings in the current group, in square feet	`1175`
`medianSquareFootage`	Median Living Area (Sq.Ft.) Data type: Number The median indoor living area of all rental listings in the current group, in square feet	`1100`
`minSquareFootage`	Minimum Living Area (Sq.Ft.) Data type: Number The minimum indoor living area of all rental listings in the current group, in square feet	`590`
`maxSquareFootage`	Maximum Living Area (Sq.Ft.) Data type: Number The maximum indoor living area of all rental listings in the current group, in square feet	`2100`
`averageDaysOnMarket`	Average Days on Market Data type: Number The average number of days rental listings in the current group have been active	`25`
`medianDaysOnMarket`	Median Days on Market Data type: Number The median number of days rental listings in the current group have been active	`8`
`minDaysOnMarket`	Minimum Days on Market Data type: Number The minimum number of days rental listings in the current group have been active	`1`
`maxDaysOnMarket`	Maximum Days on Market Data type: Number The maximum number of days rental listings in the current group have been active	`304`
`newListings`	Number of New Listings Data type: Number The number of active rental listings in the current group that have been added in a given month	`18`
`totalListings`	Number of Total Listings Data type: Number The total number of rental listings in the current group that have been active at any point in a given month	`76`