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Data presented "AS IS". Radar Logic does not make, and hereby expressly disclaims, any representation or warranty of any manner in connection with the information including, without limitation, with respect to its accuracy, completeness or fitness for any purpose..

Charlotte, NC


Counties Included in MSA Definition

Anson County, North Carolina Cabarrus County, North Carolina Gaston County, North Carolina
Mecklenburg County, North Carolina Union County, North Carolina  York County, South Carolina


Overall Inclusion Percentages

The following table shows the percentage of records received that are designated as arm’s-length, residential transactions and are included in the calculation of the daily price, as well as the percentages that are excluded by each of the filters described in the filter definitions. Percentages are calculated as the number of records included or excluded by each filter, divided by the total number of records received through the date of this document minus the number of records that were updates to the existing records or were filtered out for being a non-residential property type, a non-sale transaction type, and/or not arm’s-length. The percentage of stale records may be understated to the extent that a small number of records from 2012 Q3 and earlier continue to be received. Note that the percentages excluded by each individual filter may sum to more than the total percentage excluded, as records may be excluded by multiple filters. The records are bucketed into years based on sale date; where sale date is not available, recording date is used. The total percentage of records throughout history with neither a sale date nor a recording date is < 0.01% for Charlotte. The transaction date for Charlotte is considered to be the sale date.

  2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Q1 thru Q3
Included 71.7% 70.4% 66.2% 66.6% 60.8% 45.9% 39.8% 39.1% 48.2% 52.5% 50.9% 45.5% 38.2%
 
Excluded: Total 28.3% 29.6% 33.8% 33.4% 39.2% 54.1% 60.2% 60.9% 51.8% 47.5% 49.1% 54.5% 61.8%
    Sale date 8.9% 10.1% 12.0% 13.3% 7.3% 11.4% 12.8% 12.9% 13.5% 17.2% 5.3% 0.0% 0.0%
    Sale price 1.1% 1.6% 1.7% 2.3% 1.7% 1.6% 1.4% 1.0% 1.8% 2.7% 1.0% 0.1% 0.0%
    Square footage 20.7% 21.7% 25.9% 27.0% 31.5% 48.3% 54.3% 56.6% 45.6% 42.1% 43.1% 46.5% 42.7%
    Stale date1 0.7% 0.6% 0.6% 0.5% 2.1% 2.6% 5.0% 4.3% 4.6% 3.8% 5.6% 8.2% 27.7%
    Multiple records 9.4% 9.7% 8.6% 7.2% 9.3% 11.8% 11.2% 10.0% 9.1% 8.1% 11.1% 17.0% 12.0%
    TPL2 0.7% 0.7% 1.5% 1.6% 1.1% 0.3% 0.2% 0.2% 0.1% 0.4% 1.0% 1.1% 1.0%
1The stale date filter was not applied until 2006 - prior to that all records were included regardless of their reporting lag,as long as they arrived prior to 08/03/07, when historical prices were published.
2These are percentages of records excluded that have a price per square foot greater than zero but less than the following:
Lower bound: $18 per square foot


Inclusion Percentages by County

#N/As indicate that there were no records received from the county during the time frame.

  2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Q1 thru Q3
Anson County #N/A #N/A #N/A #N/A 0% 22% 33% 39% 25% 29% 31% 25% 28%
Cabarrus County #N/A 100% 72% 73% 66% 65% 50% 43% 49% 62% 56% 50% 51%
Gaston County 57% 59% 61% 57% 59% 64% 58% 56% 62% 67% 58% 58% 62%
Mecklenburg County 82% 82% 77% 80% 74% 49% 44% 45% 59% 67% 65% 58% 41%
Union County 69% 74% 74% 79% 69% 50% 41% 40% 42% 47% 44% 34% 44%
York County #N/A 0% 0% 0% 0% 0% 0% #N/A 0% 0% 0% 0% 0%


Inclusion Percentages by Zip Code

Zip codes for which there were fewer than twenty transactions from 2000 on have been excluded.
#N/As indicate that there were no records received from the zip code during the time frame.

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Q1 thru Q3
28006 #N/A 100% 100% 100% 33% 78% 100% 33% 67% 86% 100% 75% 67%
28007 #N/A #N/A #N/A #N/A #N/A 0% 33% 0% 0% 25% #N/A #N/A 0%
28012 77% 78% 78% 70% 57% 67% 67% 64% 57% 73% 69% 71% 64%
28016 68% 68% 73% 68% 72% 72% 72% 68% 79% 82% 70% 76% 87%
28021 62% 63% 63% 60% 68% 61% 54% 70% 71% 76% 73% 67% 82%
28025 0% 100% 74% 74% 58% 58% 49% 46% 53% 73% 69% 63% 65%
28027 0% 100% 85% 90% 88% 86% 65% 45% 47% 58% 53% 50% 53%
28031 78% 84% 71% 81% 77% 43% 39% 34% 54% 64% 74% 70% 44%
28032 76% 71% 76% 68% 61% 61% 63% 69% 75% 90% 86% 79% 85%
28033 67% 86% 93% 67% 89% 88% 63% 71% 50% 100% 73% 58% 80%
28034 77% 75% 72% 75% 75% 75% 58% 56% 67% 61% 58% 61% 60%
28036 76% 83% 72% 78% 82% 62% 54% 37% 40% 43% 55% 45% 43%
28052 49% 50% 54% 48% 46% 49% 50% 49% 61% 62% 61% 54% 53%
28054 88% 89% 89% 88% 94% 90% 74% 67% 77% 70% 76% 77% 76%
28056 91% 91% 94% 93% 96% 96% 84% 67% 68% 76% 71% 73% 71%
28070 #N/A 100% #N/A 100% #N/A #N/A 0% 0% 0% 0% 0% 0% 0%
28071 #N/A #N/A #N/A 100% 50% 75% 80% 50% 25% #N/A 100% 50% 67%
28075 0% 50% 75% 66% 68% 74% 57% 46% 47% 65% 60% 50% 57%
28077 13% 60% 86% 67% 67% 71% 91% 67% 100% 33% 67% #N/A #N/A
28078 81% 79% 81% 85% 76% 43% 33% 32% 53% 65% 59% 53% 36%
28079 79% 82% 81% 88% 80% 51% 41% 45% 45% 45% 44% 37% 52%
28081 0% #N/A 76% 70% 60% 59% 48% 49% 50% 68% 71% 70% 64%
28083 #N/A #N/A 89% 86% 89% 76% 64% 62% 77% 86% 86% 78% 73%
28086 57% 57% 80% 86% 90% 100% 78% 78% 89% 90% 74% 69% 70%
28091 #N/A #N/A #N/A #N/A #N/A 5% 25% 54% 46% 60% 67% 33% 0%
28092 50% 100% 80% 70% 90% 96% 62% 86% 67% 88% 100% 69% 60%
28097 #N/A #N/A #N/A #N/A #N/A 100% 58% 38% 35% 33% 93% 46% 40%
28098 55% 49% 77% 76% 64% 71% 56% 40% 61% 81% 35% 73% 89%
28101 67% 50% 50% 0% 60% 20% 17% 28% 20% 29% 33% 25% 33%
28103 69% 72% 62% 59% 56% 50% 50% 54% 41% 50% 47% 47% 59%
28104 88% 94% 94% 93% 89% 59% 45% 44% 50% 43% 47% 42% 62%
28105 88% 81% 81% 85% 63% 48% 51% 53% 66% 78% 75% 56% 38%
28107 80% 100% 80% 81% 80% 66% 34% 33% 45% 55% 42% 44% 44%
28108 67% 83% 78% 25% #N/A 100% 60% 33% 40% 0% 100% #N/A 100%
28110 81% 79% 76% 76% 75% 58% 45% 44% 46% 54% 43% 44% 57%
28112 87% 87% 77% 81% 79% 68% 63% 53% 53% 61% 54% 40% 43%
28119 #N/A #N/A #N/A #N/A #N/A 57% 54% 55% 38% 29% 100% 20% 25%
28120 70% 79% 79% 75% 76% 78% 64% 50% 61% 65% 60% 59% 46%
28124 #N/A #N/A 48% 68% 88% 86% 66% 67% 70% 63% 68% 90% 88%
28133 0% 100% #N/A 100% #N/A 67% 56% 40% 48% 44% 72% 45% 56%
28134 87% 91% 90% 83% 90% 54% 58% 53% 47% 50% 52% 48% 30%
28135 #N/A #N/A #N/A #N/A #N/A 33% 42% 75% 46% 50% 40% 14% 31%
28138 #N/A #N/A 100% 82% 60% 78% 55% 44% 67% 80% 75% 50% 100%
28164 75% 71% 71% 71% 76% 77% 64% 68% 80% 85% 87% 78% 81%
28170 #N/A #N/A #N/A #N/A 0% 65% 65% 67% 65% 61% 61% 49% 68%
28173 58% 81% 75% 77% 58% 40% 33% 30% 36% 43% 40% 25% 47%
28174 89% 78% 61% 79% 76% 49% 47% 63% 58% 59% 68% 66% 63%
28201 #N/A 100% 100% #N/A 0% 0% #N/A 0% 5% 0% 4% 0% 0%
28202 72% 87% 58% 52% 59% 38% 24% 15% 36% 37% 57% 66% 55%
28203 89% 89% 67% 83% 71% 39% 41% 49% 57% 71% 68% 77% 63%
28204 72% 87% 66% 78% 66% 58% 42% 47% 51% 50% 76% 48% 48%
28205 85% 88% 87% 88% 90% 74% 70% 72% 60% 77% 78% 68% 53%
28206 56% 59% 68% 66% 75% 39% 46% 47% 59% 57% 58% 29% 22%
28207 95% 98% 88% 91% 91% 53% 59% 64% 78% 82% 77% 80% 55%
28208 70% 86% 74% 67% 62% 54% 48% 52% 58% 63% 56% 46% 43%
28209 95% 96% 94% 92% 87% 74% 77% 81% 67% 81% 88% 70% 57%
28210 94% 90% 81% 92% 88% 76% 75% 80% 67% 74% 82% 77% 54%
28211 93% 91% 95% 93% 88% 81% 75% 68% 66% 79% 84% 82% 59%
28212 39% 39% 35% 35% 41% 28% 29% 25% 40% 85% 82% 79% 60%
28213 90% 82% 80% 78% 77% 44% 40% 48% 60% 79% 48% 40% 40%
28214 86% 85% 74% 82% 79% 36% 34% 36% 60% 65% 62% 38% 34%
28215 86% 88% 78% 81% 80% 50% 44% 48% 65% 63% 62% 60% 44%
28216 83% 81% 80% 77% 64% 35% 35% 41% 70% 72% 67% 47% 33%
28217 73% 82% 83% 66% 76% 52% 51% 52% 50% 56% 77% 78% 30%
28226 95% 97% 96% 95% 90% 83% 78% 79% 83% 89% 89% 80% 51%
28227 91% 91% 88% 89% 87% 55% 47% 47% 54% 61% 59% 52% 37%
28262 85% 85% 76% 80% 63% 35% 37% 43% 63% 66% 61% 62% 37%
28269 85% 83% 84% 88% 83% 52% 49% 45% 72% 70% 66% 70% 46%
28270 94% 94% 96% 93% 93% 72% 63% 68% 87% 90% 83% 75% 51%
28273 92% 93% 82% 87% 80% 45% 44% 37% 51% 53% 56% 69% 46%
28277 93% 94% 84% 85% 74% 49% 42% 43% 70% 73% 65% 61% 42%
28278 85% 86% 83% 91% 55% 34% 16% 20% 36% 46% 28% 27% 12%
29704 #N/A #N/A #N/A #N/A 0% #N/A #N/A #N/A #N/A #N/A 0% 0% 0%
29708 #N/A #N/A #N/A 0% 0% #N/A 0% #N/A #N/A 0% 0% 0% 0%
29710 #N/A #N/A #N/A 0% 0% 0% #N/A #N/A #N/A 0% 0% 0% 0%
29715 #N/A #N/A #N/A 0% 0% 0% #N/A #N/A 0% 0% 0% 0% 0%
29717 #N/A #N/A #N/A #N/A 0% #N/A #N/A #N/A #N/A #N/A 0% 0% 0%
29726 #N/A #N/A #N/A #N/A 0% #N/A #N/A #N/A #N/A #N/A 0% 0% 0%
29730 #N/A 0% #N/A #N/A 0% #N/A #N/A #N/A #N/A #N/A 0% 0% 0%
29732 #N/A #N/A #N/A 0% 0% #N/A #N/A #N/A #N/A 0% 0% 0% 0%
29742 #N/A #N/A #N/A #N/A 0% #N/A #N/A #N/A #N/A #N/A 0% 0% 0%
29745 #N/A #N/A #N/A #N/A 0% #N/A #N/A #N/A #N/A 0% 0% 0% 0%


Source Fields for Square Footage for Included Records

There are several metrics used for measuring the square footage of a building. Taxing counties and municipalities measure and label square footage according to their internal methodologies. Wherever possible, Radar Logic uses the metric that the localities designate as “living area square feet”. Where this is not available, Radar Logic uses, in order of preference, the metrics for “universal building square feet,” “building square feet,” and “adjusted gross square feet”. All metrics are valid, but “living area square feet” is the standard measure amongst brokers, builders and real estate professionals for determining the amount of space in residential properties.

% Records With PPSF Calculated Using Living Area Square Footage (After Filtering)
2000 99%
2001 99%
2002 81%
2003 79%
2004 85%
2005 99%
2006 100%
2007 100%
2008 100%
2009 100%
2010 100%
2011 100%
2012
Q1 thru Q3
100%