Pinellas Market Lens
Analyze parcel values, tax burden, assessed-value gaps, and market outliers from official county records.
Exact Market KPIs
Computed from the filtered queryset before exploratory sampling.
Generated Jun 3, 2026 15:13 UTC
Parcels analyzed
17,916
Exact filtered count
Median market value
$208,689
Exact median over non-null values
Mean market value
$369,604
Exact database average
Median price per sqft
$192
Exact median where sqft exists
Total market value
$6,472,129,694
Exact filtered sum
Median tax rate
1.77%
Annual tax divided by market value
Avg assessed gap
$73,236
Market value minus assessed value
Avg assessed gap %
21.64%
Average gap as share of market value
Market Value Distribution
Price Per Sq Ft Distribution
City Segments
Property Type Segments
Build-Era Trend
Market vs Assessed Value
Analyst Takeaways
- The current slice contains 17,916 parcels with a median market value of $208,689.
- The middle 50% of recorded market values spans $129,907 to $408,929.
- St. Petersburg is the largest city segment in this slice with 17,916 parcels.
- Condominium is the most common property type represented in the filtered data.
- High-value IQR outliers are exposed as drilldowns so the analysis stays auditable.
- These are exploratory public-record signals, not predictions or investment advice.
Value Percentiles
P10
$94,880
P25
$129,907
P50
$208,689
P75
$408,929
P90
$733,725
City Segments
| City | Parcels | Median Value | Median $/Sqft |
|---|---|---|---|
| St. Petersburg | 17916 | $208,689 | $192 |
Property Type Segments
| Type | Parcels | Median Value | Tax Rate |
|---|---|---|---|
| Condominium | 17329 | $215,928 | 1.78% |
| Condominium (land lease) | 587 | $98,291 | 1.74% |
Auditable Outliers
Each row links back to the underlying parcel drilldown.
High-Value IQR Outliers
| Parcel | Metric |
|---|---|
|
301 1ST ST S # 3502
St. Petersburg 33701 · Condominium |
$6,869,558 $6,869,558 |
|
301 1ST ST S # 3402
St. Petersburg 33701 · Condominium |
$6,804,715 $6,804,715 |
|
301 1ST ST S # 3501
St. Petersburg 33701 · Condominium |
$6,635,294 $6,635,294 |
|
180 BEACH DR NE # 2201
St. Petersburg 33701 · Condominium |
$6,611,186 $6,611,186 |
|
301 1ST ST S # 3401
St. Petersburg 33701 · Condominium |
$6,572,452 $6,572,452 |
|
180 BEACH DR NE # 2101
St. Petersburg 33701 · Condominium |
$6,552,816 $6,552,816 |
|
146 4TH AVE NE # 600
St. Petersburg 33701 · Condominium |
$6,430,922 $6,430,922 |
|
180 BEACH DR NE # 2800
St. Petersburg 33701 · Condominium |
$5,918,928 $5,918,928 |
|
180 BEACH DR NE # 2700
St. Petersburg 33701 · Condominium |
$5,887,612 $5,887,612 |
|
180 BEACH DR NE # 2600
St. Petersburg 33701 · Condominium |
$5,795,897 $5,795,897 |
|
300 BEACH DR NE # 3001
St. Petersburg 33701 · Condominium |
$5,683,485 $5,683,485 |
|
180 BEACH DR NE # 2500
St. Petersburg 33701 · Condominium |
$5,657,207 $5,657,207 |
Largest Assessed Gaps
| Parcel | Metric |
|---|---|
|
5890 38TH AVE N # 106
St. Petersburg 33710 · Condominium (land lease) |
91.46% $106,376 |
|
5855 18TH ST N # 1
St. Petersburg 33714 · Condominium |
89.87% $116,130 |
|
7100 SUNSHINE SKYWAY LN S # 308
St. Petersburg 33711 · Condominium |
89.32% $230,078 |
|
500 1ST ST N # 102
St. Petersburg 33701 · Condominium |
88.01% $322,560 |
|
216 36TH AVE N # 102B
St. Petersburg 33704 · Condominium |
87.45% $179,320 |
|
6100 12TH ST S # 213
St. Petersburg 33705 · Condominium |
87.19% $70,432 |
|
216 36TH AVE N # 205B
St. Petersburg 33704 · Condominium |
86.76% $199,557 |
|
4908 MILANO CT NE
St. Petersburg 33703 · Condominium |
86.15% $343,484 |
|
216 36TH AVE N # 105B
St. Petersburg 33704 · Condominium |
85.74% $203,613 |
|
5372 4TH ST N # 218
St. Petersburg 33703 · Condominium |
85.59% $85,215 |
|
5372 4TH ST N # 208
St. Petersburg 33703 · Condominium |
85.59% $85,215 |
|
3100 HARTFORD ST N # 118
St. Petersburg 33713 · Condominium (land lease) |
85.51% $56,026 |
Highest Tax Burden
| Parcel | Metric |
|---|---|
|
777 3RD AVE N # 1705
St. Petersburg 33701 · Condominium |
92.69% $27,778 |
|
777 3RD AVE N # 1605
St. Petersburg 33701 · Condominium |
91.83% $27,778 |
|
777 3RD AVE N # 1708
St. Petersburg 33701 · Condominium |
87.37% $27,778 |
|
777 3RD AVE N # 1508
St. Petersburg 33701 · Condominium |
85.87% $27,778 |
|
777 3RD AVE N # 1703
St. Petersburg 33701 · Condominium |
85.36% $27,778 |
|
777 3RD AVE N # 1603
St. Petersburg 33701 · Condominium |
84.63% $27,778 |
|
777 3RD AVE N # 1308
St. Petersburg 33701 · Condominium |
84.38% $27,778 |
|
777 3RD AVE N # 1503
St. Petersburg 33701 · Condominium |
83.80% $27,778 |
|
777 3RD AVE N # 1502
St. Petersburg 33701 · Condominium |
71.38% $27,778 |
|
777 3RD AVE N # 1704
St. Petersburg 33701 · Condominium |
70.43% $27,778 |
|
777 3RD AVE N # 1604
St. Petersburg 33701 · Condominium |
69.78% $27,778 |
|
48 BAYVIEW CT S # A
St. Petersburg 33711 · Condominium |
60.24% $110,500 |
Sample Parcels
A high-value sample from the filtered slice for spot-checking the analysis.
| Parcel | Segment | Market Value | $/Sqft | Tax Rate |
|---|---|---|---|---|
|
301 1ST ST S # 3502
19-31-17-78603-000-3502 |
St. Petersburg · Condominium | $6,869,558 | $1186 | 1.81% |
|
301 1ST ST S # 3402
19-31-17-78603-000-3402 |
St. Petersburg · Condominium | $6,804,715 | $1175 | 1.81% |
|
301 1ST ST S # 3501
19-31-17-78603-000-3501 |
St. Petersburg · Condominium | $6,635,294 | $1187 | 1.82% |
|
180 BEACH DR NE # 2201
19-31-17-64870-001-2201 |
St. Petersburg · Condominium | $6,611,186 | $903 | 2.12% |
|
301 1ST ST S # 3401
19-31-17-78603-000-3401 |
St. Petersburg · Condominium | $6,572,452 | $1175 | 1.82% |
|
180 BEACH DR NE # 2101
19-31-17-64870-001-2101 |
St. Petersburg · Condominium | $6,552,816 | $895 | 2.12% |
|
146 4TH AVE NE # 600
19-31-17-77230-000-6000 |
St. Petersburg · Condominium | $6,430,922 | $862 | 2.04% |
|
180 BEACH DR NE # 2800
19-31-17-64870-001-2800 |
St. Petersburg · Condominium | $5,918,928 | $1110 | 2.11% |
|
180 BEACH DR NE # 2700
19-31-17-64870-001-2700 |
St. Petersburg · Condominium | $5,887,612 | $1105 | 2.11% |
|
180 BEACH DR NE # 2600
19-31-17-64870-001-2600 |
St. Petersburg · Condominium | $5,795,897 | $1087 | 2.11% |
|
300 BEACH DR NE # 3001
19-31-17-66381-030-3001 |
St. Petersburg · Condominium | $5,683,485 | $766 | 2.02% |
|
180 BEACH DR NE # 2500
19-31-17-64870-001-2500 |
St. Petersburg · Condominium | $5,657,207 | $1061 | 2.11% |
|
100 1ST AVE N # 4201
19-31-17-64138-000-4201 |
St. Petersburg · Condominium | $5,513,019 | $1440 | 1.93% |
|
100 1ST AVE N # 4101
19-31-17-64138-000-4101 |
St. Petersburg · Condominium | $5,368,025 | $1402 | 1.93% |
|
555 5TH AVE NE
17-31-17-94236-003-1304 |
St. Petersburg · Condominium | $5,329,564 | $995 | 2.16% |
|
100 BEACH DR NE # 2200
19-31-17-28250-000-2200 |
St. Petersburg · Condominium | $5,253,713 | $721 | 2.29% |
|
100 BEACH DR NE # 2001
19-31-17-28250-000-2001 |
St. Petersburg · Condominium | $5,117,481 | $559 | 2.43% |
|
100 1ST AVE N # 4203
19-31-17-64138-000-4203 |
St. Petersburg · Condominium | $5,056,748 | $1339 | 1.93% |
|
400 BEACH DR NE # 2901
19-31-17-29257-000-2901 |
St. Petersburg · Condominium | $5,053,045 | $737 | 2.20% |
|
100 1ST AVE N # 4001
19-31-17-64138-000-4001 |
St. Petersburg · Condominium | $4,955,595 | $1294 | 1.93% |
|
100 1ST AVE N # 4103
19-31-17-64138-000-4103 |
St. Petersburg · Condominium | $4,929,614 | $1305 | 1.93% |
|
100 1ST AVE N # 4003
19-31-17-64138-000-4003 |
St. Petersburg · Condominium | $4,888,296 | $1294 | 1.93% |
|
300 BEACH DR NE # 2901
19-31-17-66381-029-2901 |
St. Petersburg · Condominium | $4,659,446 | $1029 | 1.89% |
|
300 BEACH DR NE # 2801
19-31-17-66381-028-2801 |
St. Petersburg · Condominium | $4,609,009 | $1017 | 1.91% |
|
555 5TH AVE NE # 1302
17-31-17-94236-002-1302 |
St. Petersburg · Condominium | $4,521,924 | $902 | 2.45% |
Methodology
- Source: Pinellas County Property Appraiser parcel records loaded into the app database.
- Headline KPIs use exact database aggregates and ordered medians against the filtered queryset.
- EDA charts and segment tables use pandas/numpy transformations over the analysis frame.
- Outliers use IQR or top-metric rankings and link back to parcel drilldowns for auditability.
- No predictive model is used in this version because the public dataset lacks MLS sale prices and reliable beds/baths coverage.