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Add Metrics

Choose a Primary Market Indicator from the drop down list. Customize each PRIMARY indicator by selecting the 'option' (Raw, Percentile Rank, % Change, etc) from the next row. Once selected, a new 'range slider' is added below and the map or table is instantly updated.

You can use the same primary indicator multiple times if additional options are available. Applying more than 10 indicators simultaneous may slow response time.

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RAW
Rank
Select Market Level:
Market Finder

Strategic Market Scanners (Magic Buttons)

These are pre-configured Filters refined by the experts at HousingAlerts to give you a leg-up on your REI Market research.

The resulting lists of markets should generally have higher appreciation and activity levels than markets not making the lists. They do not represent the only markets for successful investing as not every potential "hot" market clears all filters. Of course, no one can guarantee your success. This is presented for academic purposes, not investment advice. You should always do your own Due Diligence.

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Customize Indicators

Adjust the minimum and maximum range for each indicator by either dragging the slider balls or manually overwriting the prefilled min/max range amounts.

To save your customized indicators and settings, give it a name and click the 'Save' button.

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Step 1 - Options: {{nameForParentMarketLevelSelected}}

Advanced - Step 1

Using the Step 1 will allow you to choose the Macro Market Level and primary Filter Criteria.

Step 2 Options: {{nameForMarketLevelSelected}}

Advanced - Step 2

Using the "Step 2" will allow you to choose the Micro Market Level, narrowing your results further, and the displayed Filter Criteria.

Strong
Weak
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In addition to the actual scores, values, or percentages shown in the table below, we also COLOR CODE most cells.

This will show where each indicator ranks when compared to ALL similar markets we track, NATIONWIDE.

The COLOR CODE corresponds to each indicator's 'Score Scale'.

Green Colors
... used for the strongest/top percentiles.

Yellow Colors
... used for the middle ranges.

Red Colors
... used for the weakest or least desirable for that indicator.

You can use these Ranking Colors to quickly evaluate how any market '˜stacks up' against all similar markets nationwide!.

Ranking Color Key

In addition to the actual scores, values, or percentages shown in the table below, we also COLOR CODE most cells.

This will show where each indicator ranks when compared to ALL similar markets we track, NATIONWIDE.

The COLOR CODE corresponds to each indicator's 'Score Scale'.

Green Colors
... used for the strongest/top percentiles.

Yellow Colors
... used for the middle ranges.

Red Colors
... used for the weakest or least desirable for that indicator.

You can use these Ranking Colors to quickly evaluate how any market '˜stacks up' against all similar markets nationwide!.

Historical Lookup:
Month Ending:
Scroll left/right to view table.
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Rank

Rank

All micro markets you subscribe to are ranked (using our proprietary scoring systems) based on the 'active' column on the right (indicated by the small triangle).

IMPORTANT: Ranking results are limited to ONLY THOSE MARKETS IN YOUR CURRENT SUBSCRIPTION and therefore may exclude stronger or weaker micro markets you are NOT subscribed to.

Metro State Zip Code County Name (Total: {{markets_total_count}})

Market Name

Click the linked Name, Lot#, Zip, or Map Pin to see the Market location on a popup map.

Population (Parent Market Data)

Population

Estimated total population for the micro market.

Note: Small population micro markets have fewer real estate transactions and other data points. The resulting smaller sample size generally reduces the reliability/accuracy of the results,population

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Population (YoY % Chng) (Parent Market Data)

Population

Estimated total population for the micro market.

Note: Small population micro markets have fewer real estate transactions and other data points. The resulting smaller sample size generally reduces the reliability/accuracy of the results,population

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Population (YoY % Chng Rank) (Parent Market Data)

Population

Estimated total population for the micro market.

Note: Small population micro markets have fewer real estate transactions and other data points. The resulting smaller sample size generally reduces the reliability/accuracy of the results,population

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Legacy Score (Parent Market Data)

Master Score

Master Score

The Master Score ("MS") is a proprietary algorithm combining several TA studies and longer-term indicators into a single score. It attempts to identify where each market is in its LONG TERM real estate cycle. Scores range from 0 to 99. A higher score indicates a market in the stronger phases of it's cycle.

The MS's longer term horizon may be a more suitable 'predictor' for buy & hold type investing strategies whereas the shorter-term Market Outlook indicator may be best for wholesalers and flippers.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Legacy Score (1 Yr Change) (Parent Market Data)

Master Score (YoY Chng)

Master Score

The Master Score ("MS") is a proprietary algorithm combining several TA studies and longer-term indicators into a single score. It attempts to identify where each market is in its LONG TERM real estate cycle. Scores range from 0 to 99. A higher score indicates a market in the stronger phases of it's cycle.

The MS's longer term horizon may be a more suitable 'predictor' for buy & hold type investing strategies whereas the shorter-term Market Outlook indicator may be best for wholesalers and flippers.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Legacy Score (Rank) (Parent Market Data)

Master Score (Rank)

Master Score

The Master Score ("MS") is a proprietary algorithm combining several TA studies and longer-term indicators into a single score. It attempts to identify where each market is in its LONG TERM real estate cycle. Scores range from 0 to 99. A higher score indicates a market in the stronger phases of it's cycle.

The MS's longer term horizon may be a more suitable 'predictor' for buy & hold type investing strategies whereas the shorter-term Market Outlook indicator may be best for wholesalers and flippers.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Legacy Score (Rank) (1 Yr Change) (Parent Market Data)

Master Score (Rank) (1 Yr Chng)

Master Score

The Master Score ("MS") is a proprietary algorithm combining several TA studies and longer-term indicators into a single score. It attempts to identify where each market is in its LONG TERM real estate cycle. Scores range from 0 to 99. A higher score indicates a market in the stronger phases of it's cycle.

The MS's longer term horizon may be a more suitable 'predictor' for buy & hold type investing strategies whereas the shorter-term Market Outlook indicator may be best for wholesalers and flippers.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Median Home Value (Parent Market Data)

Median Home Value

Median Home Value

This is the estimated median house value of all Single Family Residential (SFR) properties in that market.

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Median Home Value
(Rank)
(Parent Market Data)

Median Home Value (Rank)

Median Home Value Rank

The median property value compared to ALL similar properties in the US, expressed as a percentile.

For exa percentile score of "93" means THAT micro market's median home value is LOWER than 93% of all other counties nationwide.

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Median Rent (Parent Market Data)

Median Rent

Median Rent

Rental rates for single family homes can vary significantly based on location, size, age, amenities, and condition of the property. The median rental rates shown here are estimated across the entire micro market. Since the same methodology was used for all similar markets nationwide, we're able to focus on the RELATIVE scores/rankings between different micro markets.

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Median Rent
(Rank)
(Parent Market Data)

Median Rent (Rank)

Median Rent Rank

Rental rates for single family homes can vary significantly based on location, size, age, amenities, and condition of the property. The median rental rates shown here are estimated across the entire micro market. Since the same methodology was used for all similar markets nationwide, we're able to focus on the RELATIVE scores/rankings between different micro markets.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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ZHVI (Parent Market Data)

Zillow Home Value Index (ZHVI)

The ZHVI attempts to estimate home values on a monthly basis. It has had varying degrees of accuracy but seems to be improving in recent years.

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ZHVI (YoY % Change) (Parent Market Data)

Zillow Home Value Index (ZHVI) YoY % Chng

The ZHVI attempts to estimate home values on a monthly basis. It has had varying degrees of accuracy but seems to be improving in recent years.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

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ZHVI (MoM % Change) (Parent Market Data)

Zillow Home Value Index (ZHVI) MoM % Chng

The ZHVI attempts to estimate home values on a monthly basis. It has had varying degrees of accuracy but seems to be improving in recent years.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

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ZHVI (Rank) (Parent Market Data)

Zillow Home Value Index (ZHVI) Rank

The ZHVI attempts to estimate home values on a monthly basis. It has had varying degrees of accuracy but seems to be improving in recent years.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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ZHVI (YoY % Change Rank) (Parent Market Data)

Zillow Home Value Index (ZHVI) Rank YoY % Chng

The ZHVI attempts to estimate home values on a monthly basis. It has had varying degrees of accuracy but seems to be improving in recent years.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

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ZHVI (MoM % Change Rank) (Parent Market Data)

Zillow Home Value Index (ZHVI) Rank MoM % Chng

The ZHVI attempts to estimate home values on a monthly basis. It has had varying degrees of accuracy but seems to be improving in recent years.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

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Wholesale - Flip Score (Parent Market Data)

Wholesale – Flip Score

The Wholesale – Flip indicator attempts to assign a raw score to each market based on its potential suitability for transactional income tactics and strategies.

Using proprietary technology, the algorithms try to identify vibrant markets with high buyer demand relative to current supply.

Scores can range from 0 to 99. A higher score may indicate a market more likely to benefit from transactional income strategies with shorter holding periods.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Wholesale - Flip Score (Rank) (Parent Market Data)

Wholesale – Flip Score Rank

The Wholesale – Flip indicator attempts to assign a raw score to each market based on its potential suitability for transactional income tactics and strategies.

Using proprietary technology, the algorithms try to identify vibrant markets with high buyer demand relative to current supply.

Scores can range from 0 to 99. A higher score may indicate a market more likely to benefit from transactional income strategies with shorter holding periods.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.
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Creative REI Score (Parent Market Data)

Creative REI Score

The Creative REI indicator attempts to assign a raw score to each market based on its potential suitability for low money down investing tactics and strategies such as lease-options, subject-to, seller financing and other so-called 'creative' methods.

Using proprietary technology, the algorithms try to identify longer-term stable markets to offset the greater risk posed by these often riskier strategies.

Scores can range from 0 to 99. A higher score potentially indicates a less volatile market more likely to benefit from highly leveraged strategies.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Creative REI Score (Rank) (Parent Market Data)

Creative REI Score Rank

The Creative REI indicator attempts to assign a raw score to each market based on its potential suitability for low money down investing tactics and strategies such as lease-options, subject-to, seller financing and other so-called 'creative' methods.

Using proprietary technology, the algorithms try to identify longer-term stable markets to offset the greater risk posed by these often riskier strategies.

Scores can range from 0 to 99. A higher score potentially indicates a less volatile market more likely to benefit from highly leveraged strategies.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.
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Cash Flow Boost Score (Parent Market Data)

Cash Flow Boost Score

The Cash Flow Boost indicator attempts to assign a raw score to each market based on its potential suitability for positive cash flow and/or smaller cash flow deficits.

Using proprietary technology, the algorithms try to identify markets with the potential for cash flow together with home price stability and potential appreciation.

Scores can range from 0 to 99. A higher score potentially indicates markets more likely to experience both cash flow and appreciation.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Cash Flow Boost Score (Rank) (Parent Market Data)

Cash Flow Boost Score Rank

The Cash Flow Boost indicator attempts to assign a raw score to each market based on its potential suitability for positive cash flow and/or smaller cash flow deficits.

Using proprietary technology, the algorithms try to identify markets with the potential for cash flow together with home price stability and potential appreciation.

Scores can range from 0 to 99. A higher score potentially indicates markets more likely to experience both cash flow and appreciation.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.
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Wealth Maximizer Score (Parent Market Data)

Wealth Maximizer Score

The Wealth Maximizer indicator attempts to assign a raw score to each market based on its potential suitability for home price appreciation.

Using proprietary technology, the algorithms try to identify highly cyclical markets in the early or mid-stage of its long term appreciation cycle.

Scores can range from 0 to 99. A higher score potentially indicates markets more likely to experience greater home price appreciation.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Wealth Maximizer Score (Rank) (Parent Market Data)

Wealth Maximizer Score Rank

The Wealth Maximizer indicator attempts to assign a raw score to each market based on its potential suitability for home price appreciation.

Using proprietary technology, the algorithms try to identify highly cyclical markets in the early or mid-stage of its long term appreciation cycle.

Scores can range from 0 to 99. A higher score potentially indicates markets more likely to experience greater home price appreciation.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.
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Median Household Income (Parent Market Data)

Median Household Income

Median HH Income, as with all median numbers, represents the "middle" value. It's calculated after ranking all households by ascending income, then identifying the income of the middle household.

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Median Household Income (Rank) (Parent Market Data)

Median Household Income (Rank)

Median HH Income, as with all median numbers, represents the "middle" value. It's calculated after ranking all households by ascending income, then identifying the income of the middle household.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Value to Income Ratio (Parent Market Data)

Value to Income Ratio

This indicator is similar to the Affordability Ratio except it ignores mortgage rates. Since income does not change much in the short-term, this indicator is more of a home price indicator and is NOT deemed to be a reliable forward-looking indicator.

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Value to Income Ratio (Rank) (Parent Market Data)

Value to Income Ratio (Rank)

This indicator is similar to the Affordability Ratio except it ignores mortgage rates. Since income does not change much in the short-term, this indicator is more of a home price indicator and is NOT deemed to be a reliable forward-looking indicator.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Value to Income Ratio (YY%) (Parent Market Data)

Value to Income Ratio (YoY % Chng)

This indicator is similar to the Affordability Ratio except it ignores mortgage rates. Since income does not change much in the short-term, this indicator is more of a home price indicator and is NOT deemed to be a reliable forward-looking indicator.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Affordability Ratio (Parent Market Data)

Affordability Ratio

Calculated by dividing the sample monthly payment for a median priced house by the monthly median household income. The resulting percentage represents the share of monthly HH income going to pay P & I on a 30-year mortgage with 20% down payment at current mortgage rates.

Because HH Income does not change significantly in the short run, the Affordability Ratio tends to reflect changes in home prices and interest rates. Although it is widely MIS-used by the media attempting to predict future home prices, it is NOT deemed a reliable forward-looking indicator.

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Affordability Ratio (Rank) (Parent Market Data)

Affordability Ratio (Rank)

Calculated by dividing the sample monthly payment for a median priced house by the monthly median household income. The resulting percentage represents the share of monthly HH income going to pay P & I on a 30-year mortgage with 20% down payment at current mortgage rates.

Because HH Income does not change significantly in the short run, the Affordability Ratio tends to reflect changes in home prices and interest rates. Although it is widely MIS-used by the media attempting to predict future home prices, it is NOT deemed a reliable forward-looking indicator.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Affordability Ratio (YY%) (Parent Market Data)

Affordability Ratio (YoY % Chng)

Calculated by dividing the sample monthly payment for a median priced house by the monthly median household income. The resulting percentage represents the share of monthly HH income going to pay P & I on a 30-year mortgage with 20% down payment at current mortgage rates.

Because HH Income does not change significantly in the short run, the Affordability Ratio tends to reflect changes in home prices and interest rates. Although it is widely MIS-used by the media attempting to predict future home prices, it is NOT deemed a reliable forward-looking indicator.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Market Outlook + Cash Flow
(Rank)
(Parent Market Data)

Market Outlook + Cash Flow Score

This indicator attempts to identify markets with both relatively higher cash flow potential AND a relatively higher potential for appreciation.

The combined score is expressed as a Percentile from "0" (weakest) to "99" (strongest). For example, a score of "93" means THAT micro market scored higher (stronger) than 93% of all similar U.S. micro markets.

ONLY THOSE MARKETS IN YOUR CURRENT SUBSCRIPTION ARE DISPLAYED but the score is based on all markets nationwide. This allows you to see how your market(s) compare relative to ALL markets in the U.S.

NOTE: This COMBINED score is subjective in that it gives equal weight to CASH FLOW and APPRECIATION. Use it as a 'shortcut' to filter through thousands of micro markets with likely above average cash flow AND appreciation.

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Market Outlook + House Value
(Rank)
(Parent Market Data)

Market Outlook + House Value Score

This indicator combines each market's relative house value with its relative "Market Outlook Score" to help identify potential markets with both lower priced properties AND a relatively higher potential for appreciation.

NOTE: This COMBINED score is subjective in that it gives equal weight to House Values and Hot Market Score. Use it as a 'shortcut' to filter through thousands of micro markets when searching for low property values AND some likelihood of above average appreciation.

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Gross Rent Ratio (Parent Market Data)

Gross Rent Ratio

Gross Rent Ratio

This is the ANNUAL gross median rent (monthly x 12) divided by the median property value. A higher ratio is likely to generate more cash flow then a lower ratio.

Note: Many factors other than gross median rent affect cash flow, including vacancy, repairs, operating expenses, and management. The actual ratios can and likely will vary significantly from those shown here. Since the same methodology was used for all similar markets nationwide, we're able to focus on the RELATIVE scores/rankings between different micro markets.

These calculations are for educational and comparison purposes only and do not replace your own Due Diligence!.

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Gross Rent Ratio
(Rank)
(Parent Market Data)

Gross Rent Ratio Rank

Gross Rent Ratio Rank

This is the ANNUAL gross median rent (monthly x 12) divided by the median property value. A higher ratio is likely to generate more cash flow than a lower ratio.

Note: Many factors other than gross median rent affect cash flow, including vacancies, repairs, operating expenses and management. The actual ratios can and likely will vary significantly from those shown here. Since the same methodology was used for all similar markets nationwide, we're able to focus on the RELATIVE scores/rankings between different micro markets.

These calculations are for educational and comparison purposes only and do not replace your own Due Diligence!.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Median Rent
(3-Yr CAGR)
(Parent Market Data)

Median Rent (3-Yr CAGR)

This is the ANNUAL percent change in median rent for the median house over the last 3 years. (CAGR (Compound Annual Growth Rate) is a more accurate measure of annual % change over a multi-year time period.).

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Median Rent
(3-Yr CAGR) (Rank)
(Parent Market Data)

Median Rent (3-Yr CAGR) Rank

Annual Rent Growth (3-Yr CAGR) Rank

This is the ANNUAL percent change in median rent for the median house over the last 3 years. (CAGR (Compound Annual Growth Rate) is a more accurate measure of annual % change over a multi-year time period.).

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Median Rent
(5-Yr CAGR)
(Parent Market Data)

Median Rent (5-Yr CAGR)

This is the ANNUAL percent change in median rent for the median house over the last 5 years. (CAGR (Compound Annual Growth Rate) is a more accurate measure of annual % change over a multi-year time period.).

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Median Rent
(5-Yr CAGR) (Rank)
(Parent Market Data)

Median Rent (5-Yr CAGR)

This is the ANNUAL percent change in median rent for the median house over the last 5 years. (CAGR (Compound Annual Growth Rate) is a more accurate measure of annual % change over a multi-year time period.).

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Inflation Adjusted Annual Home Price Appreciation (%) (Parent Market Data)

Inflation Adjusted Annual Home Price Appreciation (%)

This represents the 1-year increase in a typical home's value after subtracting any increase due to general inflation.

Higher Scores indicate higher appreciation, net of inflation.

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Inflation Adjusted Annual Home Price Appreciation (%) (Rank) (Parent Market Data)

Inflation Adjusted Annual Home Price Appreciation (%) Rank

Inflation Adjusted Annual HPA (%) Rank

This represents the 1-year increase in a typical home's value after subtracting any increase due to general inflation.

Higher Scores (green colors) indicate higher appreciation, net of inflation.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Annual Home Price Appreciation (%) (Parent Market Data)

Home Price Appreciation (%)

This is the change in home value for a typical house in this market from 1 year ago.

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Annual Home Price Appreciation (%) (Rank) (Parent Market Data)

Annual Home Price Appreciation (%) Rank

Annual Home Price Appreciation (%) Rank

The annual home price appreciation for a typical house in this market is updated quarterly using the 'repeat sales index' methodology.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Quarterly Home Price Appreciation (annualized %) (Parent Market Data)

Quarterly Home Price Appreciation (annualized %)

Quarterly Home Price Appreciation (annualized %)

This is the change in home prices from 3 months earlier and then annualized (i.e. - multiplied four) to get an annual equivalent appreciation rate.

Quarterly comparisons have more 'noise' in them and will tend to bounce around a lot more than annual comparisons. However, Quarterly data can also spot market reversals and changes quicker because it only looks back 3 months, instead of a year.

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Quarterly Home Price Appreciation (annualized %) (Rank) (Parent Market Data)

Quarterly Home Price Appreciation (annualized %) Rank

Quarterly Home Price Appreciation (annualized %) Rank

This is the change in home prices from 3 months earlier and then annualized (i.e. - multiplied four) to get an annual equivalent appreciation rate.

Quarterly comparisons have more 'noise' in them and will tend to bounce around a lot more than annual comparisons. However, Quarterly data can also spot market reversals and changes quicker because it only looks back 3 months, instead of a year.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Inflation Adjusted Quarterly Home Price Appreciation (%) (Parent Market Data)

Inflation Adjusted Quarterly Home Price Appreciation (%)

This is the change in home value for a typical house in this market from 3 months earlier, minus any appreciation from general inflation, and then annualized (i.e. - multiplied four) to get an annual equivalent net appreciation rate.

Quarterly comparisons have more 'noise' in them and will tend to bounce around a lot more than annual comparisons. However, quarterly data can also spot market reversals and changes quicker because it only looks back 3 months, instead of a year.

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Inflation Adjusted Quarterly Home Price Appreciation (%) (Rank) (Parent Market Data)

Inflation Adjusted Quarterly Home Price Appreciation (%) Rank

Inflation Adjusted Quarterly Home Price Appreciation (%) Rank

This is the change in home value for a typical house in this market from 3 months earlier, minus any appreciation from general inflation, and then annualized (i.e. - multiplied four) to get an annual equivalent net appreciation rate.

Quarterly comparisons have more 'noise' in them and will tend to bounce around a lot more than annual comparisons. However, Quarterly data can also spot market reversals and changes quicker because it only looks back 3 months, instead of a year.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Annual Home Price Appreciation (%) - 2 yr. CAGR (Parent Market Data)

Annual Home Price Appreciation (%) - 2, 3, or 5 yr. CAGR

Annual Home Price Appreciation (%) - 2or 5 yr. CAGR

The annual home price appreciation for a typical house in this market calculated over a multi-year periodis updated quarterly using the 'repeat sales index' methodology.

CAGR, or Compound Annual Growth Rate, is useful to smooth out annual fluctuations and is a more accurate measure of annual % change over a multi-year period.

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Annual Home Price Appreciation (%) - 2 yr. CAGR (Rank) (Parent Market Data)

Annual Home Price Appreciation (%) - 2, 3, or 5 yr. CAGR Rank

Annual Home Price Appreciation (%) - 2or 5 yr. CAGR Rank

The annual home price appreciation for a typical house in this market calculated over a multi-year periodis updated quarterly using the 'repeat sales index' methodology.

CAGR, or Compound Annual Growth Rate, is useful to smooth out annual fluctuations and is a more accurate measure of annual % change over a multi-year period.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Annual Home Price Appreciation (%) - 3 yr. CAGR (Parent Market Data)

Annual Home Price Appreciation (%) - 2, 3, or 5 yr. CAGR

Annual Home Price Appreciation (%) - 2or 5 yr. CAGR

The annual home price appreciation for a typical house in this market calculated over a multi-year periodis updated quarterly using the 'repeat sales index' methodology.

CAGR, or Compound Annual Growth Rate, is useful to smooth out annual fluctuations and is a more accurate measure of annual % change over a multi-year period.

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Annual Home Price Appreciation (%) - 3 yr. CAGR (Rank) (Parent Market Data)

Annual Home Price Appreciation (%) - 2, 3, or 5 yr. CAGR Rank

Annual Home Price Appreciation (%) - 2or 5 yr. CAGR Rank

The annual home price appreciation for a typical house in this market calculated over a multi-year periodis updated quarterly using the 'repeat sales index' methodology.

CAGR, or Compound Annual Growth Rate, is useful to smooth out annual fluctuations and is a more accurate measure of annual % change over a multi-year period.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Annual Home Price Appreciation (%) - 5 yr. CAGR (Parent Market Data)

Annual Home Price Appreciation (%) - 2, 3, or 5 yr. CAGR

Annual Home Price Appreciation (%) - 2or 5 yr. CAGR

The annual home price appreciation for a typical house in this market calculated over a multi-year periodis updated quarterly using the 'repeat sales index' methodology.

CAGR, or Compound Annual Growth Rate, is useful to smooth out annual fluctuations and is a more accurate measure of annual % change over a multi-year period.

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Annual Home Price Appreciation (%) - 5 yr. CAGR (Rank) (Parent Market Data)

Annual Home Price Appreciation (%) - 2, 3, or 5 yr. CAGR Rank

Annual Home Price Appreciation (%) - 2or 5 yr. CAGR Rank

The annual home price appreciation for a typical house in this market calculated over a multi-year periodis updated quarterly using the 'repeat sales index' methodology.

CAGR, or Compound Annual Growth Rate, is useful to smooth out annual fluctuations and is a more accurate measure of annual % change over a multi-year period.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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T.A.P.S. Local Score (Parent Market Data)

T.A.P.S. - Local

The "LOCAL" TAPS - or Technical Analysis Point Score ranking isolates ONLY that particular market. It ignores any impact the broader market may have. For example, at the "City" level, the TAPS "local" score ignores any impact its State, Regional, or National market may have on the local conditions.

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S.T.A.R. Momentum (Parent Market Data)

S.T.A.R. Momentum

S.T.A.R. Momentum

The S.T.A.R. Momentum Indicator measures and tracks each market's momentum using six 'trigger' points. GREEN indicates positive momentum, RED means weakening or declining momentum.

Momentum is important, but a high momentum score does not, by itself, indicate a hot market. Momentum scores are 'long range' indicators that should be used with TAPS, Master Scores, and Wealth Phase charts.

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S.T.A.R. Momentum
(Rank)
(Parent Market Data)

S.T.A.R. Momentum - Rank

S.T.A.R. Momentum - Rank

This indicator measures and ranks (as a percentile, relative to ALL markets) each market's momentum. Momentum is important, but a high momentum score does not, by itself, indicate a hot market. Momentum scores are 'long range' indicators that should be used with TAPS and Wealth Phase charts.

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Parent Hot Market Score (Parent Market Data)

Hot Market Score

Parent Hot Market Score

Micro Markets (counties & zip codes) typically do not have enough data to produce a statistically valid RAW score ,so we use the "Parent" Market's RAW score. These raw scores use proprietary algorithms to estimate the likelihood of appreciation and general vibrancy by combining the TAPS, STAR, and other indicators into a single score.

A high score (in the green) indicates a market more likely to be in a strong phase of it's long term real estate cycle.

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Hot Market Score
(Rank)
(Parent Market Data)

Hot Market Score (Rank)

Micro Markets are scored and ranked using proprietary algorithms for the likelihood of appreciation RELATIVE to ALL MARKETS NATIONWIDE.

The 'Hot Market Score' is expressed as a Percentile from '0' (weakest) to '99' (strongest). For example, a score of '93' means THAT micro market scored higher (stronger) than 93% of all similar U.S. micro markets.

ONLY THOSE MARKETS IN YOUR CURRENT SUBSCRIPTION ARE DISPLAYED but the score is based on all markets nationwide. This allows you to see how your market(s) compare relative to ALL markets in the U.S.

The Hot Market Score is not available for prior monthly periods.

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Hot Market Score
(1 Yr Change)
(Parent Market Data)

Hot Market Score YoY Change

Hot Market Score YoY Change

The Hot Market Score ("HMS") change from the prior year can be used to identify possible early stage emerging or falling markets.

For Micro Markets it measures the change in ranking from the prior year. For Metro's and States, It measures the change in their "RAW" scores.

To help identify the biggest movers we've highlighted in green those markets whose score increased significantly in the most recent year.

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Hot Market Score
(YoY % Change)
(Parent Market Data)

Hot Market Score - % Change

% Change in Hot Market Score Rank

The Percent Change in Hot Market Score ("HMS") Rank from the prior year can be used to identify possible early stage emerging (or falling) markets.

A large positive number (with dark green shading) indicates improving RELATIVE market strength when compared to all other markets in the country. A negative value indicates a weakening in strength RELATIVE to all other U.S. markets.

Unusually large 1-year increases or decreases in small population markets may not be reliable due to small sample size effects; extra due diligence is warranted.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Months Inventory (Parent Market Data)

Months Inventory

Active Listings for current month divided by Sold + Expired listings from prior month.

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% Of Listings w/ Price Drop (Parent Market Data)

% Of Listings w/ Price Drop

The percentage of all listings experiencing a decline in listing price.

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Days On Market (Parent Market Data)

Days On Market

The median number of days between a property's listing and when it is noted as 'sold' or 'off the market'.

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Pending Sales Ratio (Parent Market Data)

Pending Sales Ratio

Pending sales as a percentage of all Active listings.

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Median Listing Price (Parent Market Data)

Median Listing Price

The median price of all properties listed during the month.

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Median Price per Sq Ft (Parent Market Data)

Median Price per Sq Ft

The median price per square foot of all properties listed during the month.

-
Median Listing Sq Ft (Parent Market Data)

Median Listing Sq Ft

The median size of all properties listed during the month.

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Average List Price (Parent Market Data)

Average List Price

The average price of all properties listed during the month.

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Pending Sales
(Per 10K)
(Parent Market Data)

Pending Sales per 10K Pop.

The number of properties listed as 'sale pending' per 10000 population in that market.

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Total Listings
(Per 10K)
(Parent Market Data)

Total Listings per 10K Pop.

Total Listings = all Active and Pending Listings, per 10000 population in that market.

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Active Listings
(Per 10K)
(Parent Market Data)

Active Listings per 10K Pop.

The number of properties for sale per 10,000 population in that market.

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New Listings
(Per 10K)
(Parent Market Data)

New Listings per 10K Pop.

Properties newly listed for sale per 10,000 population in that market.

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# Listings w/ Price Drop
(Per 10K)
(Parent Market Data)

# Listings w/ Price Drop per 10K Pop.

Number of properties with list price lowered per 10,000 population.

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Price Increases
(Per 10K)
(Parent Market Data)

Price Increases per 10K Pop.

Number of properties with list price increases per 10000 population.

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Sold & Expired
(Per 10K)
(Parent Market Data)

Sold & Expired per 10K Pop.

Number of monthly sold and expired listings calculated from MLS reports per 10,000 population. As a 'calculation' it is more of an estimate than a precise number and is prone to reporting anomalies and errors, especially in small markets with fewer listings and sales.

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Market Outlook (Parent Market Data)

Market Outlook

The anticipated future health and vitality score for each individual State, Metro, County and Zip Code market based on recent (shorter-term) transactions.

This short-term 'predictor' can be most useful for locating transactional (wholesaling & flipping) micro markets to target or avoid.

Generally, scores below 30 anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several years, anticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

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Market Outlook (1 Yr Change) (Parent Market Data)

Market Outlook YoY % Change

The anticipated future health and vitality score for each individual State, Metro, County and Zip Code market based on recent (shorter-term) transactions.

This short-term 'predictor' can be most useful for locating transactional (wholesaling & flipping) micro markets to target or avoid.

Generally, scores below 30 anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several years, anticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

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Market Outlook (Rank) (Parent Market Data)

Market Outlook Rank

The anticipated future health and vitality score for each individual State, Metro, County and Zip Code market based on recent (shorter-term) transactions.

This short-term 'predictor' can be most useful for locating transactional (wholesaling & flipping) micro markets to target or avoid.

Generally, scores below 30 anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several years, anticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

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Market Outlook (Rank) (1 Yr Change) (Parent Market Data)

Market Outlook Rank YoY % Change

The anticipated future health and vitality score for each individual State, Metro, County and Zip Code market based on recent (shorter-term) transactions.

This short-term 'predictor' can be most useful for locating transactional (wholesaling & flipping) micro markets to target or avoid.

Generally, scores below 30 anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several years, anticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

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State & Metro Forecast (Parent Market Data)

State & Metro Forecast

This score combines short and long-term predictive indicators to generate a balanced, medium-term state and metro market forecast.

For county & zip code micro markets use the "Parent Forecast" version as a general guide.

Generally, scores below 30, anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several yearsanticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending downa weakening market. A score above 70 anticipates a strong or strengthening market.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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State & Metro Forecast (1 Yr Change) (Parent Market Data)

State & Metro Forecast YoY % Change

This score combines short and long-term predictive indicators to generate a balanced, medium-term state and metro market forecast.

For county & zip code micro markets use the "Parent Forecast" version as a general guide.

Generally, scores below 30, anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several years, anticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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State & Metro Forecast (Rank) (Parent Market Data)

State & Metro Forecast Rank

This score combines short and long-term predictive indicators to generate a balanced, medium-term state and metro market forecast.

For county & zip code micro markets use the "Parent Forecast" version as a general guide.

Generally, scores below 30, anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several yearsanticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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State & Metro Forecast (Rank) (1 Yr Change) (Parent Market Data)

State & Metro Forecast Rank YoY % Change

This score combines short and long-term predictive indicators to generate a balanced, medium-term state and metro market forecast.

For county & zip code micro markets use the "Parent Forecast" version as a general guide.

Generally, scores below 30, anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several years, anticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Momentum Alert (Parent Market Data)

Momentum Alert

This score attempts to provide early warning of potentially weak, weakening or even crashing Metro and State markets. Real estate markets tend to appreciate in a stair-step up fashion but take an elevator down when depreciating!.

For county & zip code micro markets use the "Parent Market Data" as a general guide.

Entering markets with Momentum scores below 40 or so should be done with caution, if at all. Scores below 20 require extreme caution and can often indicate or precede significant loss of home values.

Scores above 70 can indicate strong upward MOMENTUM but not necessarily an entry point into this market or adding to your position. Use the other indicatorsscoresand tools for better entry point timing signals.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Momentum Alert (1 Yr Change) (Parent Market Data)

Momentum Alert YoY % Change

This score attempts to provide early warning of potentially weak, weakening or even crashing Metro and State markets. Real estate markets tend to appreciate in a stair-step up fashion but take an elevator down when depreciating!.

For county & zip code micro markets use the "Parent Market Data" as a general guide.

Entering markets with Momentum scores below 40 or so should be done with caution, if at all. Scores below 20 require extreme caution and can often indicate or precede significant loss of home values.

Scores above 70 can indicate strong upward MOMENTUM but not necessarily an entry point into this market or adding to your position. Use the other indicatorsscoresand tools for better entry point timing signals.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Momentum Alert (Rank) (Parent Market Data)

Momentum Alert Rank

This score attempts to provide early warning of potentially weak, weakening or even crashing Metro and State markets. Real estate markets tend to appreciate in a stair-step up fashion but take an elevator down when depreciating!.

For county & zip code micro markets use the "Parent Market Data" as a general guide.

Entering markets with Momentum scores below 40 or so should be done with caution, if at all. Scores below 20 require extreme caution and can often indicate or precede significant loss of home values.

Scores above 70 can indicate strong upward MOMENTUM but not necessarily an entry point into this market or adding to your position. Use the other indicatorsscoresand tools for better entry point timing signals.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Momentum Alert (Rank) (1 Yr Change) (Parent Market Data)

Momentum Alert Rank YoY % Change

This score attempts to provide early warning of potentially weak, weakening or even crashing Metro and State markets. Real estate markets tend to appreciate in a stair-step up fashion but take an elevator down when depreciating!.

For county & zip code micro markets use the "Parent Market Data" as a general guide.

Entering markets with Momentum scores below 40 or so should be done with caution, if at all. Scores below 20 require extreme caution and can often indicate or precede significant loss of home values.

Scores above 70 can indicate strong upward MOMENTUM but not necessarily an entry point into this market or adding to your position. Use the other indicatorsscoresand tools for better entry point timing signals.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Stability Index (Parent Market Data)

Stability Index

The 'Stability Index' score attempts to identify markets at a greater risk of HOME PRICE DECLINE in the next year or so. The lower the score, the greater the probability of near-term price declines.

High scores (above 70) generally indicate markets with greater price stability and/or appreciation while markets with low scores (below 30) are more vulnerable to home price stagnation or decline.

It is not a 'hot market predictor' (there are better indicators for that), but rather a potential early warning signal for market reversals that may lead to home price declines.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Stability Index (1 Yr Change) (Parent Market Data)

Stability Index YoY % Change

The 'Stability Index' score attempts to identify markets at a greater risk of HOME PRICE DECLINE in the next year or so. The lower the score, the greater the probability of near-term price declines.

High scores (above 70) generally indicate markets with greater price stability and/or appreciation while markets with low scores (below 30) are more vulnerable to home price stagnation or decline.

It is not a 'hot market predictor' (there are better indicators for that), but rather a potential early warning signal for market reversals that may lead to home price declines.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Stability Index (Rank) (Parent Market Data)

Stability Index Rank

The 'Stability Index' score attempts to identify markets at a greater risk of HOME PRICE DECLINE in the next year or so. The lower the score, the greater the probability of near-term price declines.

High scores (above 70) generally indicate markets with greater price stability and/or appreciation while markets with low scores (below 30) are more vulnerable to home price stagnation or decline.

It is not a 'hot market predictor' (there are better indicators for that), but rather a potential early warning signal for market reversals that may lead to home price declines.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

-
Stability Index (Rank) (1 Yr Change) (Parent Market Data)

Stability Index Rank YoY % Change

The 'Stability Index' score attempts to identify markets at a greater risk of HOME PRICE DECLINE in the next year or so. The lower the score, the greater the probability of near-term price declines.

High scores (above 70) generally indicate markets with greater price stability and/or appreciation while markets with low scores (below 30) are more vulnerable to home price stagnation or decline.

It is not a 'hot market predictor' (there are better indicators for that), but rather a potential early warning signal for market reversals that may lead to home price declines.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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CRE (Multi-Family) Score (Parent Market Data)

CRE (Multi-Family) Score (Metro & State)

CRE (Multi-Family) Score (Metro & State)

The CRE (Multi-Family) Score is available to assist PRO members in evaluating Multi-Family and other Commercial Real Estate (CRE) Markets at the State and Metro level.

Because of the small sample size of CRE transactions in most markets, our scoring algorithms use combinations of our predictive indicators correlated to the commercial market.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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CRE (Multi-Family) Score (1 Yr Change) (Parent Market Data)

CRE (Multi-Family) Score (Metro & State) YoY Change

CRE (Multi-Family) Score

The CRE (Multi-Family) Score is available to assist PRO members in evaluating Multi-Family and other Commercial Real Estate (CRE) Markets at the State and Metro level.

Because of the small sample size of CRE transactions in most markets, our scoring algorithms use combinations of our predictive indicators correlated to the commercial market.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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CRE (Multi-Family) Score (Rank) (Parent Market Data)

CRE (Multi-Family) Score (Metro & State) Rank

CRE (Multi-Family) Score (Metro & State)

The CRE (Multi-Family) Score is available to assist PRO members in evaluating Multi-Family and other Commercial Real Estate (CRE) Markets at the State and Metro level.

Because of the small sample size of CRE transactions in most markets, our scoring algorithms use combinations of our predictive indicators correlated to the commercial market.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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CRE (Multi-Family) Score (Rank) (1 Yr Change) (Parent Market Data)

CRE (Multi-Family) Score (Metro & State) Rank YoY % Change

CRE (Multi-Family) Score (Metro & State)

The CRE (Multi-Family) Score is available to assist PRO members in evaluating Multi-Family and other Commercial Real Estate (CRE) Markets at the State and Metro level.

Because of the small sample size of CRE transactions in most markets, our scoring algorithms use combinations of our predictive indicators correlated to the commercial market.

Past performance of any indicator, score or algorithm is not indicative of future results. Do your own analysis before entering or exiting any market.

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Wealth Phase (Parent Market Data)

Wealth Phase

Simply put, Real Estate "Wealth Phases" are when you can make the most money with the least amount of effort, capital, and risk.

This is because:

  1. Real Estate values/prices are appreciating.
  2. Appreciating markets are VIBRANT; there are more buyers and sellers, deals are easier to do, real estate is (temporarily) more 'liquid'.

Real Estate is Cyclical. All real estate prices rise and fall over time. These cycles occur at the LOCAL (city) level. EVERY local market is different. (There is no such thing as a 'National' real estate market, only an average of hundreds of divergent local markets.).

It is most advantageous to invest in markets while in the Wealth Phase part of their cycle.

STAR Indicator #3 (Parent Market Data)

STAR #3-4-5-6

S.T.A.R.

The STAR indicator measures and tracks each market's momentum using six 'trigger' points. Triggers 3, 4, 5, and 6 (shown below) are the intermediate and long term indicators. GREEN indicates positive momentum, RED means weakening or declining momentum.

Momentum is important, but a high momentum score does not, by itself, indicate a hot market. Momentum scores are 'long range' indicators that should be used with TAPS, Master Scores and Wealth Phase charts.

STAR Indicator #4 (Parent Market Data)

STAR #3-4-5-6

S.T.A.R.

The STAR indicator measures and tracks each market's momentum using six 'trigger' points. Triggers 3, 4, 5, and 6 (shown below) are the intermediate and long term indicators. GREEN indicates positive momentum, RED means weakening or declining momentum.

Momentum is important, but a high momentum score does not, by itself, indicate a hot market. Momentum scores are 'long range' indicators that should be used with TAPS, Master Scores and Wealth Phase charts.

STAR Indicator #5 (Parent Market Data)

STAR #3-4-5-6

S.T.A.R.

The STAR indicator measures and tracks each market's momentum using six 'trigger' points. Triggers 3, 4, 5, and 6 (shown below) are the intermediate and long term indicators. GREEN indicates positive momentum, RED means weakening or declining momentum.

Momentum is important, but a high momentum score does not, by itself, indicate a hot market. Momentum scores are 'long range' indicators that should be used with TAPS, Master Scores and Wealth Phase charts.

STAR Indicator #6 (Parent Market Data)

STAR #3-4-5-6

S.T.A.R.

The STAR indicator measures and tracks each market's momentum using six 'trigger' points. Triggers 3, 4, 5, and 6 (shown below) are the intermediate and long term indicators. GREEN indicates positive momentum, RED means weakening or declining momentum.

Momentum is important, but a high momentum score does not, by itself, indicate a hot market. Momentum scores are 'long range' indicators that should be used with TAPS, Master Scores and Wealth Phase charts.

Months Inventory
(Rank)
(Parent Market Data)

Months Inventory Rank

Active Listings for current month divided by Sold + Expired listings from prior month.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Months Inventory
(YoY % Chng)
(Parent Market Data)

Months Inventory YoY % Chng

Active Listings for current month divided by Sold + Expired listings from prior month.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Months Inventory
(MoM % Chng)
(Parent Market Data)

Months Inventory MoM % Chng

Active Listings for current month divided by Sold + Expired listings from prior month.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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% Of Listings w/ Price Drop
(Rank)
(Parent Market Data)

% Of Listings w/ Price Drop Rank

The percentage of all listings experiencing a decline in listing price.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

-
% Of Listings w/ Price Drop
(YoY % Chng)
(Parent Market Data)

% Of Listings w/ Price Drop YoY % Chng

The percentage of all listings experiencing a decline in listing price.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
% Of Listings w/ Price Drop
(MoM % Chng)
(Parent Market Data)

% Of Listings w/ Price Drop MoM % Chng

The percentage of all listings experiencing a decline in listing price.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Days On Market
(Rank)
(Parent Market Data)

Days On Market Rank

The median number of days between a property's listing and when it is noted as 'sold' or 'off the market'.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

-
Days On Market
(YoY % Chng)
(Parent Market Data)

Days On Market YoY % Chng

The median number of days between a property's listing and when it is noted as 'sold' or 'off the market'.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Days On Market
(MoM % Chng)
(Parent Market Data)

Days On Market MoM % Chng

The median number of days between a property's listing and when it is noted as 'sold' or 'off the market'.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Pending Sales Ratio
(Rank)
(Parent Market Data)

Pending Sales Ratio Rank

Pending sales as a percentage of all Active listings.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

-
Pending Sales Ratio
(YoY % Chng)
(Parent Market Data)

Pending Sales Ratio YoY % Chng

Pending sales as a percentage of all Active listings.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Pending Sales Ratio
(MoM % Chng)
(Parent Market Data)

Pending Sales Ratio MoM % Chng

Pending sales as a percentage of all Active listings.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Median Listing Price
(Rank)
(Parent Market Data)

Median Listing Price Rank

The median price of all properties listed during the month.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Median Listing Price
(YoY % Chng)
(Parent Market Data)

Median Listing Price YoY % Chng

The median price of all properties listed during the month.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Median Listing Price
(MoM % Chng)
(Parent Market Data)

Median Listing Price MoM % Chng

The median price of all properties listed during the month.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Median Price per Sq Ft
(Rank)
(Parent Market Data)

Median Price per Sq Ft Rank

The median price per square foot of all properties listed during the month.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Median Price per Sq Ft
(YoY % Chng)
(Parent Market Data)

Median Price per Sq Ft YoY % Chng

The median price per square foot of all properties listed during the month.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Median Price per Sq Ft
(MoM % Chng)
(Parent Market Data)

Median Price per Sq Ft MoM % Chng

The median price per square foot of all properties listed during the month.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Median Listing Sq Ft
(Rank)
(Parent Market Data)

Median Listing Sq Ft Rank

The median size of all properties listed during the month.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Median Listing Sq Ft
(YoY % Chng)
(Parent Market Data)

Median Listing Sq Ft YoY % Chng

The median size of all properties listed during the month.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Median Listing Sq Ft
(MoM % Chng)
(Parent Market Data)

Median Listing Sq Ft MoM % Chng

The median size of all properties listed during the month.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Average List Price
(Rank)
(Parent Market Data)

Average List Price Rank

The average price of all properties listed during the month.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Average List Price
(YoY % Chng)
(Parent Market Data)

Average List Price YoY % Chng

The average price of all properties listed during the month.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Average List Price
(MoM % Chng)
(Parent Market Data)

Average List Price MoM % Chng

The average price of all properties listed during the month.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Pending Sales
(Rank)
(Per 10K)
(Parent Market Data)

Pending Sales per 10K Pop. Rank

The number of properties listed as 'sale pending' per 10,000 population in that market.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Pending Sales
(YoY % Chng)
(Parent Market Data)

Pending Sales YoY % Chng

The number of properties listed as 'sale pending' in that market.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Pending Sales
(MoM % Chng)
(Parent Market Data)

Pending Sales MoM % Chng

The number of properties listed as 'sale pending' in that market.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Pending Sales (Parent Market Data)

Pending Sales

The number of properties listed as 'sale pending' in that market.

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Total Listings
(Rank)
(Per 10K)
(Parent Market Data)

Total Listings per 10K Pop. Rank

Total Listings = all Active and Pending Listings, per 10,000 population in that market.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Total Listings
(YoY % Chng)
(Parent Market Data)

Total Listings YoY % Chng

Total Listings = all Active and Pending Listings in that market.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Total Listings
(MoM % Chng)
(Parent Market Data)

Total Listings MoM % Chng

Total Listings = all Active and Pending Listings in that market.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Total Listings (Parent Market Data)

Total Listing Count

Total Listings = all Active and Pending Listings in that market.

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Active Listings
(Rank)
(Per 10K)
(Parent Market Data)

Active Listings per 10K Pop. Rank

The number of properties for sale per 10,000 population in that market.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Active Listings
(YoY % Chng)
(Parent Market Data)

Active Listings YoY % Chng

The number of properties for sale in that market.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Active Listings
(MoM % Chng)
(Parent Market Data)

Active Listings MoM % Chng

The number of properties for sale in that market.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Active Listings (Parent Market Data)

Active Listings

The number of properties for sale in that market.

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New Listings
(Rank)
(Per 10K)
(Parent Market Data)

New Listings per 10K Pop. Rank

Properties newly listed for sale per 10,000 population in that market.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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New Listings
(YoY % Chng)
(Parent Market Data)

New Listings YoY % Chng

Properties newly listed for in that market.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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New Listings
(MoM % Chng)
(Parent Market Data)

New Listings MoM % Chng

Properties newly listed for in that market.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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New Listings (Parent Market Data)

New Listings

Properties newly listed for sale in that market.

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# Listings w/ Price Drop
(Rank)
(Per 10K)
(Parent Market Data)

# Listings w/ Price Drop per 10K Pop. Rank

Number of properties with list price lowered per 10,000 population.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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# Listings w/ Price Drop
(YoY % Chng)
(Parent Market Data)

# Listings w/ Price Drop YoY % Chng

Number of properties with list price lowered.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
# Listings w/ Price Drop
(MoM % Chng)
(Parent Market Data)

# Listings w/ Price Drop MoM % Chng

Number of properties with list price lowered.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
# Listings w/ Price Drop (Parent Market Data)

# Listings w/ Price Drop

Number of properties with list price lowered.

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Price Increases
(Rank)
(Per 10K)
(Parent Market Data)

Price Increases per 10K Pop. Rank

Number of properties with list price increases per 10,000 population.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Price Increases
(YoY % Chng)
(Parent Market Data)

Price Increases YoY % Chng

Number of properties with list price increases.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Price Increases
(MoM % Chng)
(Parent Market Data)

Price Increases MoM % Chng

Number of properties with list price increases.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Sold & Expired
(Rank)
(Per 10K)
(Parent Market Data)

Sold & Expired per 10K Pop. Rank

Number of monthly sold and expired listings calculated from MLS reports per 10,000 population. As a 'calculation' it is more of an estimate than a precise number and is prone to reporting anomalies and errors, especially in small markets with fewer listings and sales.

The indicator represents the Percentile Ranking when compared to ALL markets nationwide. Note that percentile rankings are useful for measuring RELATIVE performance BETWEEN markets, not for measuring the absolute performance.

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Sold & Expired
(YoY % Chng)
(Parent Market Data)

Sold & Expired YoY % Chng

Number of monthly sold and expired listings calculated from MLS reports. As a 'calculation' it is more of an estimate than a precise number and is prone to reporting anomalies and errors, especially in small markets with fewer listings and sales.

The Year-over-Year (YoY) % Change is calculated by dividing the raw increase or decrease in the current year by the prior year's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

-
Sold & Expired
(MoM % Chng)
(Parent Market Data)

Sold & Expired MoM % Chng

Number of monthly sold and expired listings calculated from MLS reports. As a 'calculation' it is more of an estimate than a precise number and is prone to reporting anomalies and errors, especially in small markets with fewer listings and sales.

The Month-over-Month (MoM) % Change is calculated by dividing the raw increase or decrease in the current month by the prior month's amount.

Note: the 'Law of Small Numbers' can produce very large 'percent increase' stated results if the prior period starting value was very small. While this large stated percent increase is accurate, it can easily be misinterpreted.

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Sold & Expired (Parent Market Data)

Sold & Expired

Number of monthly sold and expired listings calculated from MLS reports. As a 'calculation' it is more of an estimate than a precise number and is prone to reporting anomalies and errors, especially in small markets with fewer listings and sales.

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Market Outlook
(MoM % Chng)
(Parent Market Data)

Market Outlook MoM % Change

The anticipated future health and vitality score for each individual State, Metro, County and Zip Code market based on recent (shorter-term) transactions.

This short-term 'predictor' can be most useful for locating transactional (wholesaling & flipping) micro markets to target or avoid.

Generally, scores below 30 anticipate new or continued weakness. Scores between 30 - 70, if stable over the last several years, anticipate a continuation of current market conditions. If the score is TRENDING up within this 30 - 70 range, it may indicate an improving market; if trending down, a weakening market. A score above 70 anticipates a strong or strengthening market.

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roll.mls_score2_normalised | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_yy_change | number:0 }}{{ roll.mls_score2_normalised_yy_change | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile | number:0 }}{{ roll.mls_score2_normalised_percentile | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile_yy_change | number:0 }}{{ roll.mls_score2_normalised_percentile_yy_change | number:0 }}{{mls_val_suffix}} {{ roll.score_msf_normalised | number:0 }}{{ roll.score_msf_normalised | number:0 }} {{ roll.score_msf_normalised_yy_change | number:0 }}{{ roll.score_msf_normalised_yy_change | number:0 }} {{ roll.score_msf_normalised_percentile | number:0 }}{{ roll.score_msf_normalised_percentile | number:0 }} {{ roll.score_msf_normalised_percentile_yy_change | number:0 }}{{ roll.score_msf_normalised_percentile_yy_change | number:0 }} {{ roll.score_canary_normalised | number:0 }}{{ roll.score_canary_normalised | number:0 }} {{ roll.score_canary_normalised_yy_change | number:0 }}{{ roll.score_canary_normalised_yy_change | number:0 }} {{ roll.score_canary_normalised_percentile | number:0 }}{{ roll.score_canary_normalised_percentile | number:0 }} {{ roll.score_canary_normalised_percentile_yy_change | number:0 }}{{ roll.score_canary_normalised_percentile_yy_change | number:0 }} {{ roll.stability_index | number:0 }}{{ roll.stability_index | number:0 }} {{ roll.stability_index_yy_change | number:0 }}{{ roll.stability_index_yy_change | number:0 }} {{ roll.stability_index_percentile | number:0 }}{{ roll.stability_index_percentile | number:0 }} {{ roll.stability_index_percentile_yy_change | number:0 }}{{ roll.stability_index_percentile_yy_change | number:0 }} {{ roll.score_combo | number:0 }}{{ roll.score_combo | number:0 }} {{ roll.score_combo_yy_change | number:0 }}{{ roll.score_combo_yy_change | number:0 }} {{ roll.score_combo_percentile | number:0 }}{{ roll.score_combo_percentile | number:0 }} {{ roll.score_combo_percentile_yy_change | number:0 }}{{ roll.score_combo_percentile_yy_change | number:0 }} {{ roll.master_score_noranks_normalised | number:0 }}{{ roll.master_score_noranks_normalised | number:0 }}
{{ roll.mls_ha_nmi_pct | number:0 }}{{ roll.mls_ha_nmi_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_nmi_yy | number:1 }}% {{ roll.mls_ha_nmi_mm | number:1 }}% {{ roll.mls_ha_nmi_yy_pct | number:1 }}{{ roll.mls_ha_nmi_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_nmi_mm_pct | number:1 }}{{ roll.mls_ha_nmi_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_ptlpd_pct | number:0 }}{{ roll.mls_ha_ptlpd_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_ptlpd_yy | number:1 }}% {{ roll.mls_ha_ptlpd_mm | number:1 }}% {{ roll.mls_ha_ptlpd_yy_pct | number:1 }}{{ roll.mls_ha_ptlpd_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_ptlpd_mm_pct | number:1 }}{{ roll.mls_ha_ptlpd_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_dom_pct | number:0 }}{{ roll.mls_raw_dom_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_dom_yy | number:1 }}% {{ roll.mls_raw_dom_mm | number:1 }}% {{ roll.mls_raw_dom_yy_pct | number:1 }}{{ roll.mls_raw_dom_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_dom_mm_pct | number:1 }}{{ roll.mls_raw_dom_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pr_pct | number:0 }}{{ roll.mls_raw_pr_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pr_yy | number:1 }}% {{ roll.mls_raw_pr_mm | number:1 }}% {{ roll.mls_raw_pr_yy_pct | number:1 }}{{ roll.mls_raw_pr_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pr_mm_pct | number:1 }}{{ roll.mls_raw_pr_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlp_pct | number:0 }}{{ roll.mls_raw_mlp_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlp_yy | number:1 }}% {{ roll.mls_raw_mlp_mm | number:1 }}% {{ roll.mls_raw_mlp_yy_pct | number:1 }}{{ roll.mls_raw_mlp_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlp_mm_pct | number:1 }}{{ roll.mls_raw_mlp_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlppsqft_pct | number:0 }}{{ roll.mls_raw_mlppsqft_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlppsqft_yy | number:1 }}% {{ roll.mls_raw_mlppsqft_mm | number:1 }}% {{ roll.mls_raw_mlppsqft_yy_pct | number:1 }}{{ roll.mls_raw_mlppsqft_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlppsqft_mm_pct | number:1 }}{{ roll.mls_raw_mlppsqft_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlsqft_pct | number:0 }}{{ roll.mls_raw_mlsqft_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlsqft_yy | number:1 }}% {{ roll.mls_raw_mlsqft_mm | number:1 }}% {{ roll.mls_raw_mlsqft_yy_pct | number:1 }}{{ roll.mls_raw_mlsqft_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_mlsqft_mm_pct | number:1 }}{{ roll.mls_raw_mlsqft_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_alp_pct | number:0 }}{{ roll.mls_raw_alp_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_alp_yy | number:1 }}% {{ roll.mls_raw_alp_mm | number:1 }}% {{ roll.mls_raw_alp_yy_pct | number:1 }}{{ roll.mls_raw_alp_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_alp_mm_pct | number:1 }}{{ roll.mls_raw_alp_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_plc_per10Kpop_pct | number:0 }}{{ roll.mls_raw_plc_per10Kpop_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_plc_yy | number:1 }}% {{ roll.mls_raw_plc_mm | number:1 }}% {{ roll.mls_raw_plc_yy_pct | number:1 }}{{ roll.mls_raw_plc_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_plc_mm_pct | number:1 }}{{ roll.mls_raw_plc_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_plc | number:0 }}{{ roll.mls_raw_plc | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_tlc_per10Kpop_pct | number:0 }}{{ roll.mls_raw_tlc_per10Kpop_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_tlc_yy | number:1 }}% {{ roll.mls_raw_tlc_mm | number:1 }}% {{ roll.mls_raw_tlc_yy_pct | number:1 }}{{ roll.mls_raw_tlc_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_tlc_mm_pct | number:1 }}{{ roll.mls_raw_tlc_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_tlc | number:0 }}{{ roll.mls_raw_tlc | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_alc_per10Kpop_pct | number:0 }}{{ roll.mls_raw_alc_per10Kpop_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_alc_yy | number:1 }}% {{ roll.mls_raw_alc_mm | number:1 }}% {{ roll.mls_raw_alc_yy_pct | number:1 }}{{ roll.mls_raw_alc_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_alc_mm_pct | number:1 }}{{ roll.mls_raw_alc_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_alc | number:0 }}{{ roll.mls_raw_alc | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_nlc_per10Kpop_pct | number:0 }}{{ roll.mls_raw_nlc_per10Kpop_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_nlc_yy | number:1 }}% {{ roll.mls_raw_nlc_mm | number:1 }}% {{ roll.mls_raw_nlc_yy_pct | number:1 }}{{ roll.mls_raw_nlc_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_nlc_mm_pct | number:1 }}{{ roll.mls_raw_nlc_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_nlc | number:0 }}{{ roll.mls_raw_nlc | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pdc_per10Kpop_pct | number:0 }}{{ roll.mls_raw_pdc_per10Kpop_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pdc_yy | number:1 }}% {{ roll.mls_raw_pdc_mm | number:1 }}% {{ roll.mls_raw_pdc_yy_pct | number:1 }}{{ roll.mls_raw_pdc_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pdc_mm_pct | number:1 }}{{ roll.mls_raw_pdc_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pdc | number:0 }}{{ roll.mls_raw_pdc | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pic_per10Kpop_pct | number:0 }}{{ roll.mls_raw_pic_per10Kpop_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pic_yy | number:1 }}% {{ roll.mls_raw_pic_mm | number:1 }}% {{ roll.mls_raw_pic_yy_pct | number:1 }}{{ roll.mls_raw_pic_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pic_mm_pct | number:1 }}{{ roll.mls_raw_pic_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_raw_pic | number:0 }}{{ roll.mls_raw_pic | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_sne_per10Kpop_pct | number:0 }}{{ roll.mls_ha_sne_per10Kpop_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_sne_yy | number:1 }}% {{ roll.mls_ha_sne_mm | number:1 }}% {{ roll.mls_ha_sne_yy_pct | number:1 }}{{ roll.mls_ha_sne_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_sne_mm_pct | number:1 }}{{ roll.mls_ha_sne_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_ha_sne | number:0 }}{{ roll.mls_ha_sne | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_pct | number:0 }}{{ roll.mls_score2_normalised_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_yy | number:1 }}% {{ roll.mls_score2_normalised_mm | number:1 }}% {{ roll.mls_score2_normalised_yy_pct | number:1 }}{{ roll.mls_score2_normalised_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_mm_pct | number:1 }}{{ roll.mls_score2_normalised_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_yy_change_pct | number:0 }}{{ roll.mls_score2_normalised_yy_change_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_yy_change_yy | number:1 }}% {{ roll.mls_score2_normalised_yy_change_mm | number:1 }}% {{ roll.mls_score2_normalised_yy_change_yy_pct | number:1 }}{{ roll.mls_score2_normalised_yy_change_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_yy_change_mm_pct | number:1 }}{{ roll.mls_score2_normalised_yy_change_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile_pct | number:0 }}{{ roll.mls_score2_normalised_percentile_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile_yy | number:1 }}% {{ roll.mls_score2_normalised_percentile_mm | number:1 }}% {{ roll.mls_score2_normalised_percentile_yy_pct | number:1 }}{{ roll.mls_score2_normalised_percentile_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile_mm_pct | number:1 }}{{ roll.mls_score2_normalised_percentile_mm_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile_yy_change_pct | number:0 }}{{ roll.mls_score2_normalised_percentile_yy_change_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile_yy_change_yy | number:1 }}% {{ roll.mls_score2_normalised_percentile_yy_change_mm | number:1 }}% {{ roll.mls_score2_normalised_percentile_yy_change_yy_pct | number:1 }}{{ roll.mls_score2_normalised_percentile_yy_change_yy_pct | number:0 }}{{mls_val_suffix}} {{ roll.mls_score2_normalised_percentile_yy_change_mm_pct | number:1 }}{{ roll.mls_score2_normalised_percentile_yy_change_mm_pct | number:0 }}{{mls_val_suffix}}
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