Comparing median home prices by neighborhood shows how prices differ between districts, which helps you judge what a given budget is likely to buy and which trade-offs to check next, such as space, services and access. A city-wide average blends very different districts, so it rarely matches the price on any particular street. Start with the districts that fit your commute and lifestyle, then compare their medians with the city figure to see which trade-off you are making.
Why compare home prices by neighborhood?
A city-wide median is a blend. It mixes central districts with high demand, outlying areas with lower prices, and sales of different sizes and types, so few buyers actually pay that number. Comparing each neighborhood median with the city figure shows whether a district sits above, near or below the average, and by how much. The gap is a starting point. It shows where prices are concentrated, but not why.
Budget trade-offs for buyers and renters
A higher median does not always mean a better purchase, and a lower one does not always mean a bargain. Use the gap to decide which trade-off you accept:
- Districts above the city median generally require a larger budget, or a smaller property for the same money.
- In a lower-median district, the same budget can buy more floor area. Check whether the figure is per home or per square foot before comparing.
- Higher medians can reflect stronger demand, which matters if you plan to resell or sublet, though this is not guaranteed in every district.
Commute and lifestyle behind the gap
Price gaps often coincide with access, though other factors also matter. Districts closer to job centers and public transport often carry higher medians, while outlying areas trade lower prices for longer journeys. Before comparing numbers, list your regular trips (work, school, shops, healthcare) and check transit access from each candidate district. A cheaper neighborhood with a long daily commute can cost more in time and transport than a higher-median district close to work. Green space, noise and nightlife also shift prices, so one median can hide very different day-to-day experiences.
Check the data before you trust the median
- Compare medians for the same property type and period. Mixing houses and apartments skews the figure.
- Look at the number of sales behind each median. Thin samples produce figures that can swing sharply from one period to the next.
Where to find neighborhood median prices
Neighborhood median prices come from three main source types: local MLS and realtor association reports, public deed records, and third-party analyses built on one of those two. Each uses different data and publishes on a different schedule, so check the source before comparing figures across cities or years.
MLS and realtor association reports are based on sales that agents have recorded in a multiple listing service. The Boston 2023 neighborhood figures reported by Boston Magazine are attributed to the Massachusetts Association of Realtors and MLS PIN. Reports of this type are usually the closest to the market at the time of sale, but they cover only transactions that went through an MLS, and they are often published by the association rather than by a public agency.
Public deed records list recorded property transfers. In the United States, these are typically kept at the county level, through the recorder’s office or the assessor’s transfer records. Availability of sale prices varies by state and county, so check what your local recorder or assessor publishes. Because these records are filed by law, they cover more transactions than voluntary reports, but they require you to calculate medians yourself and they may lag behind the sale date.
Third-party analyses repackage data from either source. The ZeroDown analysis of 20 US metros, distributed through Stacker on 18 May 2022, used sales from 18 March to 18 April 2022. Its window closed about one month before publication, which shows how a short sale window and publication date together define how current a figure is.
| Source type | Example | What to check |
|---|---|---|
| MLS / realtor association | Massachusetts Association of Realtors and MLS PIN (Boston, 2023) | Publisher, year covered |
| Third-party analysis | ZeroDown data via Stacker (20 US metros) | Sale window, publication date |
| Public deed records | County recorder or assessor transfer records | Recording date versus sale date |
Sales medians vs. owner-estimated values
A neighborhood’s median home price depends on which kind of price is counted. Recorded sale medians use prices from completed transactions. Listing prices, online valuation estimates, and owner estimates are asking or modeled figures, and they can sit well above or below what buyers actually paid.
| Value type | What it measures | Why it can differ from sales medians |
|---|---|---|
| Recorded sale median | Median price of completed sales in a set period | Reflects negotiated final prices |
| Listing price | Asking price set by the seller | May be revised down or withdrawn before a sale |
| Automated valuation model (AVM) estimate | Model output from property data | Depends on the inputs and training data used, not on a current sale |
| Owner-estimated value | Homeowner’s own estimate of their property | Self-reported, with no transaction behind it |
The Boston figures for 2023 are sales medians. Back Bay at $1,490,000 and Hyde Park at $302,000 come from the Massachusetts Association of Realtors and MLS PIN, which tracks closed sales. The same figures would not match asking prices or owner estimates for the same streets.
When you compare neighborhoods, check that every figure uses the same value type and the same time window. A median from a single month is not comparable to an annual median, and an owner estimate is not comparable to a recorded sale in any period.
How wide can the gap be within one city?
In Boston, neighborhood medians in 2023 varied enormously. Among the six neighborhoods in the reference data, the median home price ranged from $302,000 in Hyde Park to $1,490,000 in Back Bay. Dividing the highest figure by the lowest gives a top-to-bottom ratio of about 4.9 (1,490,000 ÷ 302,000 ≈ 4.93). The most expensive neighborhood’s median was nearly five times that of the cheapest.
| Rank (of 6) | Neighborhood | 2023 median home price | Multiple of Hyde Park median |
|---|---|---|---|
| 1 | Back Bay | $1,490,000 | 4.9× |
| 2 | South End | $1,212,500 | 4.0× |
| 3 | Beacon Hill | $983,000 | 3.3× |
| 4 | Dorchester | $586,275 | 1.9× |
| 5 | Mattapan | $399,000 | 1.3× |
| 6 | Hyde Park | $302,000 | 1.0× |
The multiples are calculated by dividing each median by Hyde Park’s $302,000, rounded to one decimal place.
The mid-range neighborhoods show that the spread is not a simple split between expensive and cheap areas. Beacon Hill ($983,000) sits about $396,725 above Dorchester ($586,275). Dorchester is about $187,275 above Mattapan ($399,000). Mattapan is about $97,000 above Hyde Park. The gaps between neighboring price levels are uneven, so a single top-to-bottom figure hides where the largest steps occur.
The figures come from the Massachusetts Association of Realtors and MLS PIN, as reported by Boston Magazine. They describe one year, so they show a snapshot of 2023 and cannot indicate how the gap moved over time.
To measure the spread for another city:
- Choose a single year and a single data source for every neighborhood.
- Sort the medians from lowest to highest.
- Divide the highest median by the lowest to get the top-to-bottom ratio.
- Divide each median by the lowest to see where the middle neighborhoods fall.
How do you compare neighborhoods fairly?
A median price only describes the homes that sold in a given area during a given period. If two neighborhoods sold different kinds of homes, or sold them at different times, the gap between their medians reflects that mix rather than the neighborhoods themselves. Fair comparison means holding three inputs constant across every area: property type, home size, and sale time window.
The Boston example shows the problem. The 2023 medians were Back Bay at $1,490,000 and Hyde Park at $302,000, with figures attributed to the Massachusetts Association of Realtors and MLS PIN. The source article is titled as a list of Boston condo prices, so these figures may cover condos only and not all home types. It does not state bedroom counts, so the gap cannot be read as a like-for-like comparison without checking the source tables.
| Dimension | Rule across all compared areas | Why it matters |
|---|---|---|
| Property type | Compare one type at a time: condos with condos, single-family with single-family, townhouses with townhouses | Attached and detached homes are priced on different bases, so mixing them shifts the median |
| Sale window | Use identical start and end dates for every area | Prices move over time, so a shifted window can change the result even in the same neighborhood |
| Bedroom count | Apply the same bedroom filter to every area | A median dominated by larger homes in one area will sit above a median built on smaller units |
Matching property types
Pick a single property type first, then pull the median for that type in each neighborhood. If an area has few sales of a given type, note the type and sample size rather than substituting another type to fill the gap.
Aligning sale windows
Set one date range and apply it everywhere. The ZeroDown analysis of 20 US metros, for instance, used sales from 18 March to 18 April 2022, a single fixed month. Comparing one area’s sales from spring with another’s from autumn mixes location with timing.
Applying the same bedroom filter
Fix the bedroom count, such as two-bedroom homes only, and apply it to each neighborhood. Then the comparison answers a narrower but valid question: what does a two-bedroom home cost in each area?
Price per square foot vs. median price
The total median sale price shows what a typical sale cost in a neighborhood, but it mixes price with home size. A neighborhood where most sales are large detached houses can post a higher median than one dominated by compact apartments, even when buyers pay less per unit of space. Price per square foot removes that size effect, so it gives a fairer comparison when homes differ in size from one area to another.
Formula: median sale price / living area. Take the median sale price for a neighborhood, divide it by the living area of the homes in that sales set, and express the result in dollars per square foot.
| Metric | What it measures | Best used when |
|---|---|---|
| Median sale price | Typical total cost of a sale | Comparing budgets for homes of similar size |
| Median price per square foot | Cost per unit of living area | Home sizes differ across the neighborhoods being compared |
The ZeroDown analysis reported by Stacker (18 May 2022) used sales from 18 March to 18 April 2022 across 20 US metros, and ranked the most expensive neighborhood in each metro by median price per square foot. Those values ran from $365 in Downtown Phoenix to $2,518 in Elysian Park, Los Angeles, a gap of roughly seven times. That spread reflects the price of space in each market, not just the price of a typical house.
To apply the method to your own shortlist:
- Collect sales for every neighborhood over the same period.
- Calculate the median sale price for each neighborhood.
- Calculate the price per square foot for each sale (sale price divided by living area), then take the median of those values for each neighborhood and compare them.
- If a neighborhood ranks high on total median price but moderate on price per square foot, the premium is probably driven by larger homes rather than by more expensive space.
What does the median hide?
A neighborhood median is the middle value of all sales in a period: half the sales closed above it and half below. It says nothing about how far sales spread around that point, how many transactions sit behind it, or whether some sales are missing from the dataset. Three gaps matter most when you compare neighborhoods.
Spread across the price range
A single middle value can describe very different markets. The 2023 Boston figures, drawn from the Massachusetts Association of Realtors and MLS PIN, show the gap between neighborhoods: Back Bay at $1,490,000 and Hyde Park at $302,000. Each figure is only a midpoint, though. It does not show the cheapest or most expensive home sold in that neighborhood. Two areas with the same median can have tightly clustered prices or widely scattered ones. To see the difference, look for sources that also publish ranges, quartiles, or the share of sales above and below the median.
Sample size in small neighborhoods
A median based on few sales is unstable, because one unusual transaction can move it. The ZeroDown analysis notes that some neighborhoods have very small populations, for example 46 people in Reverence, Las Vegas. Its figures for such areas may be less representative of the wider market. Before comparing a small neighborhood with a larger one, check how many transactions produced each figure.
Missing records
Some neighborhoods have missing records. A gap in the data is not neutral. If the unrecorded sales cluster at one end of the price range, the published median shifts toward the other end. A neighborhood with many missing sales should be ranked with caution, even if its median looks clear.
Next steps for your city shortlist
Turning median prices into a shortlist works best when you group neighborhoods into price bands first, then keep a small set from each band. Boston’s 2023 figures show how wide those bands can be, from Back Bay at $1,490,000 down to Hyde Park at $302,000. Boston Magazine reported these medians, sourced from the Massachusetts Association of Realtors and MLS PIN.
Step 1: Group neighborhoods into price bands
Sort your candidate neighborhoods by median price and split them into bands. The Boston 2023 figures give a usable example:
| Price band | Neighborhood | Median home price, 2023 |
|---|---|---|
| Upper | Back Bay | USD 1,490,000 |
| Upper | South End | USD 1,212,500 |
| Upper-middle | Beacon Hill | USD 983,000 |
| Middle | Dorchester | USD 586,275 |
| Lower | Mattapan | USD 399,000 |
| Lower | Hyde Park | USD 302,000 |
The source does not define band boundaries, so set them yourself based on your budget and apply the same rule to every city you compare.
Step 2: Select three to five neighborhoods
Choose one or two neighborhoods per band. From the Boston table, a five-neighborhood shortlist could include Back Bay, Beacon Hill, Dorchester, Mattapan and Hyde Park. This spreads your options across the price range without making the comparison unwieldy.
Step 3: Build the comparison table
Use these columns for each shortlisted neighborhood:
- Median price: the value for the same year and source across all rows.
- Sales count: the number of sales behind the median. This is not in the Boston fiche, so record it from your own source.
- Commute: your typical travel time to a fixed destination. Measure it the same way for each neighborhood.
Add a row only when you have values for every column. If one figure is missing, mark the gap and resolve it before drawing conclusions.
Step 4: Cross-check against a second source
Use a second dataset to test the first. The ZeroDown analysis ranks the most expensive neighborhood in each of 20 US metros by median price per square foot, using sales from 18 March to 18 April 2022. Because it uses a different metric and period, its values cannot be compared directly with the Boston medians. Check first whether your metro is covered. Because the analysis lists only the most expensive neighborhood in each metro, use it to see whether that neighborhood is also at the top of your own ranking, not to compare values.
Flag any shortlisted neighborhood with thin data before you rely on its numbers.
Frequently asked questions
Do the Boston neighborhood prices cover all home types?
Probably not. The 2023 Boston medians, from Back Bay at $1,490,000 down to Hyde Park at $302,000, come from a Boston Magazine article titled as a list of Boston condo prices, so they are probably condo medians. Check the original source before using these figures to judge a single-family home budget.
How do I compare neighborhoods with different home sizes?
Use price per square foot. Divide each sale price by its living area, then take the median of those values for each neighborhood. The ZeroDown analysis of 20 US metros ranked neighborhoods this way, but it covered only the most expensive neighborhood in each metro.
Where can I find sale prices for my own city?
Sale price availability varies by state and county, so check what your local county recorder or assessor publishes. When you review transfer records, compare the recording date with the sale date, because the two can differ.
