Altos Research: Data and Documentation: Statistics Datasheet

8/14/2019 Altos Research: Data and Documentation: Statistics Datasheet

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ALTOS RESEARCH: DATA AND DOCUMENTATION: STATISTICS DATASHEE

Copyright 2008 Altos Research LLC Page

Overview

Products and Availability

Data Products Description Available Products

Property

City/Zip Local Market statistical analysis, trend analysis

Geographic Scope

Geographic Scope Description Application

Zip

City City-level aggregate view

Metro Region

Custom Region

Trending Rolling Averages

Trending Description Application

7-Day Sample Most recent data point available for every statistic

90-Day Rolling Average

The Altos Research real estate statistical system is organized into four dimensions for actionable analysis: GeographicScope, Price Range Quartile, Rolling Average, and Property Type. Statistics are calculated with each dimension incombination with all other dimensions (For example:Days on Market for the top price quartile of single family homesin Los Altos, CA 94024 over a 90-day rolling average). The result is the most granular, real-time real estate dataavailable, with literally hundreds of distinct market measures available at any geographic scope.

All Altos Research data is published every Monday, based on the active listed properties of the preceding week.Subscribe to direct data feed of any geographic scope and stat combination, regional and national reports, or per zipcode reports. Regional and national composites lead traditional data sources, such as the Case Shiller Index, by 90days.

The Altos Research data hierarchy enables instant analysis of trends from a micro-market to a national view:

Individual property data for specific property analysis,AVMs, fraud detection, mortgage analysis

Property data feeds [CSV, XML, Spreadsheet]

- Available as local market reports [PDF] and- Custom geography + stat data feeds [CSV, XML,Spreadsheet]

Regional & NationalComposites

Composites and weighted averages for planing,derivatives traders

- Case Shiller & Radar Logic Derivatives Market Report.- Regional data feeds [CSV, XML, Spreadsheet]

The real estate market is viewed by some definition of geography, depending on the analytical application requirement.

Altos Research uses four different levels of geographic scope for all statistics.

Zip Code is the smallest geographic unit used forstatistical analysis.

Most detailed local analysis. 10,000+ US zip codes

Each city is measured with All zip codes aggregated fora city-level view. City-zip combinations defined by theUSPS

Metropolitan regions defined by the Census Bureau'sMSAs. All zip codes in the MSA aggregated for aregional-level view

Regional view for futures and derivatives trading. Over 70MSA regions

Custom regions can be defined for specific clientinvestigation.

Client-specific analysis, for example to track the market forluxury homes in a region

All statistics are calculated in two rolling average sets: weekly for the most current data points, and smoothed over a90-day rolling average

All statistics are calculated weekly for the most recentdata points.

An average of the previous 13 weeks of weekly data tomore clearly illustrate trends

Smoothed trendline clears weekly noise. Some stats, likeMarket Action Index are most valuable with 90-day rollingaverage. Other stats, like inventory or Days on Market, haveless weekly variation so the 7-day sample is preferred.

For eachGEOGRAPHY

Evaluate byQUARTILE

Averaged overROLLING AVG

CalculateSTATISTICS

Track eachDESCRIPTIVE STATS

Active Residential Properties (2 million + per week)

CITY + ZIP Statistics & Data

Regional, County & National Composites

Price Quartile Rolling Avg Property Type

Price Quartile Rolling Avg Property Type


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Micro Market AnalysisFor more actionable data within each geography, two micro-market dimensions are added.

Micro Market Description Application

Residence Type

Price Range Quartile

Statistics & Market MeasuresThe following table lists the individual statistics tracked by Altos Research across all dimensions in each market.

Statistic Description Application

Median Price Simplest measurement of current real estate price

Inventory Current number of homes on the market Simplest measurement of available supply

Mean Days on Market

Median Days on Market

New Listings Measures new supply activity

Absorbed Measurement of turnover activity in the market.

Square Footage

Median Price per Sq Ft Dollars per square foot

Lot Size Basic property characteristics

Price per Lot Size Median price divided by lot size Indicator of land value in a market

Bed Count Basic property characteristics

Bath Count Basic property characteristics

Age Basic property characteristics

ALTOS RESEARCH UNIQUE STATS

Market Action Index (TM) Single, at-a-glance answer to, How's the Market?

Percent Price Decrease

Percent Price Increase

All statistics in all geographic areas are analyzed bysingle-family homes or by condominiums/townhomes.

Focus analysis on specific property types for mostmeaningful, actionable information

Four equally sized segments of the current properties.

Quartile 1 is the most expensive 25% of homes on themarket or the Top Quartile. Quartile 4 is the leastexpensive 25% of homes on the market, or the BottomQuartile.For example, if there are 80 homes for sale inScottsdale, AZ, four quartiles are generated with 20properties in each quartile based on individual propertylist prices.Quartile analysis is available for every market statistic.

Quartile data enables market trend analysis at various pricelevels in a specific geography (zip code, city, county, MSA).

For example, Days on Market may be higher for expensiveproperties than for the low-end.Also useful for tracking specific neighborhoods inside aparticular zip code.

Median asking price for homes currently on the market

in specified geographic area, in Dollars

The average duration properties have been on themarket, in Days

Simple measurement of demand for homes in a market.Average Days will be skewed higher by certain properties thathave been on the market for a very long time

Half the properties have been on the market this manydays

Useful to compare to mean days on market. When mediandays on market is significantly lower than mean days onmarket, that implies that the good properties have fasterturnover and the average is skewed higher by staleproperties

Number of properties newly listed for sale during theprevious week

Number of properties that have come off the market,due to sales or other reasons, in the previous week

Average or median size of homes in the market

segment

Basic property characteristics. In some markets, square

footage data may be unreliable.Useful as a common denominator measurement of value in amarket. In some markets, square footage data may beunreliable.

Average or median size of the lot for homes in themarket segment

Average or median number of bedrooms for homes inthe market segment

Average or median number of bathrooms for homes inthe market segment

Average or median age of homes in the marketsegment

Measurement of several statistics that comparedemand levels relative to supply levels. ProprietaryAltos Research methodology. Above 30 demand isrobust to indicate Sellers Market. Below 30indicatesweak demand or Buyers opportunity markets.

Percent of properties currently on the market that havealso been on the market recently at a higher price

An insightful measurement of demand in a market. Asproperties stay on the market longer, they tend to have pricereductions. This stat measures how often properties arehaving their prices reduced.

Percent RelistedPercent of properties currently on the market that havealso been on the market recently at the same price

Properties get re-listed to seem fresh to buyers or becausethey have a new listing agent. The higher this number, theweaker demand is in a market

Percent of properties currently on the market that havealso been on the market recently at lower price

Sometimes called Percent Flips (though not all priceincreases are flips) this stat is a way to measure investmentactivity in a market.


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Magnitude Price Decrease

Magnitude Price Increase

Year over year trends remove seasonality from the data





Descriptive Stats

Descriptive Stats

Mean and Median Median and arithmetic mean (average)

Min and Max Minimum and Maximum values in each sample

Standard Deviation The distribution of values of each stat in the sample

Peak Value Highest observed value of the statistic over time

Trough Value Lowest observed value of the statistic over time

Current Trend

Trend Strength

Current Tic The directional move of this week's observation

Example DataThe following table illustrates a small snapshot selection of the data for two markets

Statistic Data Sample Per Zip, All Quartiles Data Sample City Wide, All Quartiles

date 06/20/08 06/20/08

State CA CA

City PLEASANTON PLEASANTON

zip 94566 ALL

Rolling Average 90 90

Quartile ALL ALL

Median Price $1,124,441 $903,177

$426 $420

Square Footage 2637 2341

Inventory 147 240

Percent Price Decreased 41% 43%

Mean DOM 90 84

Market Action Index 17 18

Of the homes with price reductions, how big are thosereductions, in percentage of price

In tandem with Percent Price Decrease, the magnitude ofprice drops illustrates the velocity of price change in a market

Of the homes with price increases, how big are thoseincreases, in percentage of price

Useful for measuring the potential return on investment in amarket

YoY Price ChangePercentage change from current week versus sameweek previous year in price

YoY Inventory ChangePercentage change from current week versus sameweek previous year in Inventory

Year over year trends remove seasonality from the data. Inaddition, there is some evidence that year-over-year inventorychanges are predictive of price changes another year in thefuture

YoY Absorbed Percentage change from current week versus sameweek previous year in absorption

YoY New ListingsPercentage change from current week versus sameweek previous year in new listings rate

YoY Market Action IndexPercentage change from current week versus sameweek previous year in the Market Action Index

YoY Days on MarketPercentage change from current week versus sameweek previous year in the Mean and Median Days onMarket

In addition to the core market measure above, each is tracked with a collection of statistics that describe thedistribution of values in each sample. For example: Minimum price, or maximum bed-count, or the standard deviationof price per square foot of the condos in this week's sample for zip code 55110.

In some stats, like price, a single outlier data point will skewan average, so median is preferred. In some stats, like Dayson Market, both average and median are useful forunderstanding market conditions. Mean and Median arecalculated for all stats.

Useful for understanding the distribution of properties in thesample.

Useful for understanding the distribution of properties in thesample.

Used by the Altos Research reporting analytics system tointerpret the data over time.


Algorithmic description of the last 13 weeks of data. Up,

Down, or Mixed

Used by the Altos Research reporting analytics system to

interpret the data over time.Algorithmic description of the last 13 weeks of data.Strong or Weak



Median Per Sqft

Altos Research: Data and Documentation: Statistics Datasheet

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