Tag: AVM Ranking

Every quarter we analyze all the top independently tested AVMs and compile the results. Click on this GIF to see the top AVM in each county for each quarter. As you watch the quarters change, you can see that the colors representing the top honors change frequently.

The main point is how frequently AVM performance changes. That should be no surprise, since market conditions change, and AVM’s have different strengths and tendencies. In Q3, AVMetrics independently tested 24 models; however, the GIF only highlights the 13 models that ranked in the top position of the MPTs. At least 11 AVMs shouldn’t be anyone’s first choice ANYWHERE, but they still have customers, presumably customers who don’t know the real performance of their AVMs. AVM Vendors and resellers are not Independent referees.

Independent testing is the only way to know how AVMs perform. This past quarter we saw several models retire while whole new models were introduced. Every model is constantly being improved as builders add new data feeds and use new techniques to get better results (with respect to new techniques, over at the AVMNews, we curate articles about AVMs, and we highlight several dozen new research articles about AVMs every year).

Q3 Change Highlights- Quarterly Trends Across the Coast 

As ever, if you watch a part of the map, you’ll see several changes. But, in Q3, as markets stabilized at higher interest rate levels, we saw a changing of the guard. Here are some places to watch:

1. In the Golden State, one of the highest priority counties in state has a new king, Los Angeles.  Inyo, Imperial, King, and Tulare counties also changes hands (just to name a few).
2. Several less-populated states had almost wholesale changes, such as the Dakotas, Alaksa, Montana, Wyoming, Nebraska, Oklahoma and Kansas.
3. In the Sunshine State models were able to value several smaller counties that were not captured by models in Q2 including Collier, Columbia,  Okeechobee, Suwannee, and Union. 

Takeaways

Things change – a lot. Don’t rely on the results from last year or earlier this year. Heck, you can’t even trust last quarter! Often, 3 months’ of data are required to get a large enough sample in smaller regions, but we can slice it every way imaginable.

Use more than one AVM. It’s not obvious from a map showing just one AVM in each county, but if you think about what’s going on to produce these results, you’ll realize that AVMs have different strengths and there are a lot of them climbing all over each other to get to the top of the ranking. So, when you’re valuing a particular property, you just don’t know if it will be a good candidate for even the best AVM. When that AVM produces a result with low confidence, there’s a very good chance that another AVM will produce a reasonable estimate.

Use the right AVM for each use case and keep testing, because things change a lot and often.

Every quarter we analyze all the top AVMs and compile the results. Click on this GIF to see the top AVM in each county for each quarter. As you watch the quarters change, you can see that the colors representing the top honors change frequently.

The main point is how frequently AVM performance changes. That should be no surprise, since market conditions change and AVM’s have different strengths and tendencies. Phoenix has more tract housing, and some AVMs are optimized for that. Cities in the northeast have more row housing, and some models are better there. But AVMs also change – a lot. Whole new models are introduced, but every model is constantly being improved as builders add new data feeds and use new techniques to get better results (with respect to new techniques, over at the AVMNews, we curate articles about AVMs, and we highlight several hundred new research articles about AVMs every year).

Q2 Change Highlights

As ever, if you watch a part of the map, you’ll see several changes. In Q2, we saw a changing of the guard. Here are some places to watch:

1. In Texas, most counties changed leadership. The counties that include Austin and its suburbs changed leadership. Not Dallas, but most of the counties around Dallas, and not Houston (Harris), but most of the counties around Harris County changed leadership.
2. Much of Alaska, and the West Coast changed leadership.
3. Some less-populated areas had almost wholesale changes, such as Colorado, Nevada, New Mexico, the Dakotas, rural Michigan, Illinois, Missouris, Arkansas, Louisiana, Mississippi and more.

Takeaways

1. Things change – a lot. Don’t rely on the results from last year. Heck, you can’t even trust last quarter! We compile these results quarterly, but our testing is non-stop, and we can produce new optimizations monthly based on a rolling 3 months or any other time period. Often, 3 months’ of data are required to get a large enough sample in smaller regions, but we can slice it every way imaginable.
2. Use more than one AVM. It’s not obvious from a map showing just one AVM in each county, but if you think about what’s going on to produce these results, you’ll realize that AVMs are climbing all over each other to get to the top of the ranking. So, when you’re valuing a particular property, you just don’t know if it will be a good candidate for even the best AVM. When that AVM produces a result with low confidence, there’s a very good chance that another AVM will produce a reasonable estimate. Why not be able to take three, four or five bites at the apple?

Every quarter we analyze all the top AVMs and compile the results. Click on this GIF to see the top AVM in each county for each quarter. As you watch the quarters change, you can see that the colors representing the top honors change frequently.

The main point is how frequently AVM performance changes. That should be no surprise, since market conditions change and AVM’s have different strengths and tendencies. Phoenix has more tract housing, and some AVMs are optimized for that. Cities in the northeast have more row housing, and some models are better there. But AVMs also change – a lot. Whole new models are introduced, but every model is constantly being improved as builders add new data feeds and use new techniques to get better results (with respect to new techniques, over at the AVMNews, we curate articles about AVMs, and we highlight several hundred new research articles about AVMs every year).

Q1 Change Highlights

As ever, if you watch a part of the map, you’ll see several changes. In Q1, markets continued to grind along with higher interest rates. We saw a changing of the guard. Here are some places to watch:

1. In Texas, most counties changed leadership. The counties that include Austin and its suburbs changed leadership. Not Dallas, but most of the counties around Dallas, and not Houston (Harris), but most of the counties around Harris County changed leadership.
2. Much of rural California, Oregon and Washington changed leadership.
3. Some less-populated areas had almost wholesale changes, such as Colorado, Nevada, New Mexico, the Dakotas, rural Michigan, Illinois, Missouris, Arkansas, Louisiana, Mississippi and more.

Takeaways

1. Things change – a lot. Don’t rely on the results from last year. Heck, you can’t even trust last quarter! We compile these results quarterly, but our testing is non-stop, and we can produce new optimizations monthly based on a rolling 3 months or any other time period. Often, 3 months’ of data are required to get a large enough sample in smaller regions, but we can slice it every way imaginable.
2. Use more than one AVM. It’s not obvious from a map showing just one AVM in each county, but if you think about what’s going on to produce these results, you’ll realize that AVMs are climbing all over each other to get to the top of the ranking. So, when you’re valuing a particular property, you just don’t know if it will be a good candidate for even the best AVM. When that AVM produces a result with low confidence, there’s a very good chance that another AVM will produce a reasonable estimate. Why not be able to take three, four or five bites at the apple?

Every quarter we analyze all the top AVMs and compile the results. Click on this GIF to see the top AVM in each county for each quarter. As you watch the quarters change, you can see that the colors representing the top honors change frequently.

The main point is how frequently AVM performance changes. That should be no surprise, since market conditions change and AVM’s have different strengths and tendencies. Phoenix has more tract housing, and some AVMs are optimized for that. Cities in the northeast have more row housing, and some models are better there. But AVMs also change – a lot. Whole new models are introduced, but every model is constantly being improved as builders add new data feeds and use new techniques to get better results (with respect to new techniques, over at the AVMNews, we curate articles about AVMs, and we highlight several hundred new research articles about AVMs every year).

Q4 Change Highlights

As ever, if you watch a part of the map, you’ll see several changes. But, in Q3, as markets stabilized at higher interest rate levels, we saw a changing of the guard. Here are some places to watch:

1. On the the west coast, leadership changed in Los Angeles County and Seattle’s King County.
2. Most of the counties of Atlanta, GA changed, as did the main counties of Charlotte, NC.
3. Some less-populated areas had almost wholesale changes, such as Idaho, the Dakotas, Montana, Colorado, Iowa and rural Michigan (but not New Mexico or Utah).

Takeaways

1. Things change – a lot. Don’t rely on the results from last year or earlier this year. Heck, you can’t even trust last quarter! We compile these results quarterly, but our testing is non-stop, and we can produce new optimizations monthly based on a rolling 3 months or any other time period. Often, 3 months’ of data are required to get a large enough sample in smaller regions, but we can slice it every way imaginable.
2. Use more than one AVM. It’s not obvious from a map showing just one AVM in each county, but if you think about what’s going on to produce these results, you’ll realize that AVMs have different strengths and there are a lot of them climbing all over each other to get to the top of the ranking. So, when you’re valuing a particular property, you just don’t know if it will be a good candidate for even the best AVM. When that AVM produces a result with low confidence, there’s a very good chance that another AVM will produce a reasonable estimate. Why not be able to take three, four or five bites at the apple?

Every quarter we analyze all the top AVMs and compile the results. Click on this GIF to see the top AVM in each county for each quarter. As you watch the quarters change, you can see that the colors representing the top honors change frequently.

The main point is how frequently AVM performance changes. That should be no surprise, since market conditions change, and AVM’s have different strengths and tendencies. Phoenix has more tract housing, and some AVMs are optimized for that. Cities in the northeast have more row housing, and some models are better there. But AVMs also change – a lot. Whole new models are introduced, but every model is constantly being improved as builders add new data feeds and use new techniques to get better results (with respect to new techniques, over at the AVMNews, we curate articles about AVMs, and we highlight several dozen new research articles about AVMs every year).

Q3 Change Highlights

As ever, if you watch a part of the map, you’ll see several changes. But, in Q3, as markets stabilized at higher interest rate levels, we saw a changing of the guard. Here are some places to watch:

1. On the the west coast, leadership changed in Orange County and many smaller counties.
2. Several less-populated states had almost wholesale changes, such as the Dakotas, Montana, New Mexico and Mississippi.
3. Dozens of suburban counties changed around other metro areas, from Houston and Dallas to Chicago and D.C.

Takeaways

Things change – a lot. Don’t rely on the results from last year or earlier this year. Heck, you can’t even trust last quarter! We compile these results quarterly, but our testing is non-stop, and we can produce new optimizations monthly based on a rolling 3 months or any other time period. Often, 3 months’ of data are required to get a large enough sample in smaller regions, but we can slice it every way imaginable.

Use more than one AVM. It’s not obvious from a map showing just one AVM in each county, but if you think about what’s going on to produce these results, you’ll realize that AVMs have different strengths and there are a lot of them climbing all over each other to get to the top of the ranking. So, when you’re valuing a particular property, you just don’t know if it will be a good candidate for even the best AVM. When that AVM produces a result with low confidence, there’s a very good chance that another AVM will produce a reasonable estimate. Why not be able to take three bites at the apple?

Every quarter we analyze all the top AVMs and compile the results. This GIF shows the top AVM in each county for each quarter, and as it spools through the quarters, you can see that the top honors change hands frequently.

The main point is how frequently AVM performance changes. That should be no surprise, since market conditions change, and AVM’s have different strengths and tendencies. Phoenix has more tract housing, and some AVMs are optimized for that. Cities in the northeast have more row housing, and some models are better there. But AVMs also change – a lot. Whole new models are introduced, but every model is constantly being improved as builders add new data feeds and use new techniques to get better results. (With respect to new techniques, over at the AVMNews, we curate articles about AVMs, and we highlight several dozen new research articles about AVMs every year.)

Q2 Change Highlights

As ever, if you watch a part of the map, you’ll see several changes. But, in Q2, as markets stabilized at higher interest rate levels, we saw a changing of the guard. Here are some places to watch:

1. On the the west coast, leadership in Los Angeles, Silicon Valley and Seattle changed.
2. Almost all of the Rocky Mountain states changed.
3. Most of the counties around Washington D.C. and New York City changed. 

Takeaways

Things change – a lot. Don’t rely on the results from last year or earlier this year. Heck, you can’t even trust last quarter! We compile these results quarterly, but our testing is non-stop, and we can produce new optimizations monthly based on a rolling 3 months or any other time period. Often, 3 months’ of data are required to get a large enough sample in smaller regions, but we can slice it every way imaginable.

Use more than one AVM. It’s not obvious from a map showing just one AVM in each county, but if you think about what’s going on to produce these results, you’ll realize that AVMs have different strengths and there are a lot of them climbing all over each other to get to the top of the ranking. So, when you’re valuing a particular property, you just don’t know if it will be a good candidate for even the best AVM. When that AVM produces a result with low confidence, there’s a very good chance that another AVM will produce a reasonable estimate. Why not be able to take three bites at the apple?

Q4’s update is remarkable for the amount of change in the map. Every quarter we analyze all the top AVMs and compile the results. This GIF shows the top AVM in each county for each quarter, and as it spools through the quarters, you can see where the top honors change hands.

The main point is how frequently AVM performance changes. That should be no surprise, since market conditions change, and AVM’s have different strengths and tendencies. Phoenix has more tract housing, and some AVMs are optimized for that. Cities in the northeast have more row housing, and some models are better there. But AVMs also change – a lot. Whole new models are introduced, but every model is constantly being improved as builders add new data feeds and use new techniques to get better results. (With respect to new techniques, over at the AVMNews, we curate articles about AVMs, and we highlight several dozen new research articles about AVMs every year.)

Q4 Change Highlights

As ever, if you watch a part of the map, you’ll see several changes. But, in Q4, with markets changing significantly as interest rates rose and then fell, we saw a real upending of the order. Here are some places to watch:

1. Most of the west coast changed from blue to the orange of Model B, except Orange County, ironically, which is tan for Model H.
2. Seattle and Portland changed from blue to the Model B orange.
3. Several upper Rocky Mountain states changed from pink to the green of Model K. (Visually it’s striking, but in terms of population, admittedly less important.)
4. Almost every county in Utah changed.
5. A lot of rural Texas changed from gray to the blue of Model A, so those guys took some territory back.
6. But, Model A also gave away leadership in Chicago and the surrounding counties, which went from blue to orange (Model B) or tan (Model H).
7. New York was completely shuffled. Surprisingly, the same changes held in NY City and upstate: counties changed from orange to blue (Model A got some more back), and those that were green or blue changed to orange or tan.
8. All the counties around Washington D.C. went from blue to orange (Model B wins again).
9. Just west of that, in West Virginia, everything changed from blue to the Kelly green of Model AA.

Takeaways

Things change – a lot. Don’t rely on the results from last year or earlier this year. Heck, you can’t even trust last quarter! We compile these results quarterly, but our testing is non-stop, and we can produce new optimizations monthly based on a rolling 3 months or any other time period. Often, 3 months’ of data are required to get a large enough sample in smaller regions, but we can slice it every way imaginable.

Use more than one AVM. It’s not obvious from a map showing just one AVM in each county, but if you think about what’s going on to produce these results, you’ll realize that AVMs have different strengths and there are a lot of them climbing all over each other to get to the top of the ranking. So, when you’re valuing a particular property, you just don’t know if it will be a good candidate for even the best AVM. When that AVM produces a result with low confidence, there’s a very good chance that another AVM will produce a reasonable estimate. Why not be able to take three bites at the apple?