# 2020 Iona Lane West, Saint Paul

Hotel in Saint Paul, Minnesota. It covers 14,834 square feet on the ground.

Rates calibrated October 2, 2026. Review by December 31, 2026. Updated October 26, 2026. Method propdata-estimator-v6.

## This building

2020 Iona Lane West, Saint Paul. Hotel in Saint Paul, Minnesota. Property ID spap13skg7fsj7g.

## Facts

**Facts about 2020 Iona Lane West, Saint Paul**

| Fact | Value | Source |
| --- | --- | --- |
| Address | 2020 Iona Lane West, Saint Paul, MN 55113 | [USA Structures](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Building type | Hotel | [USA Structures and SkyPSI estimator](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Footprint | 14,834 square feet | [USA Structures](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Perimeter | 616.92 feet | [USA Structures](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Height | 52.17 feet | [USGS 3D Elevation Program](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Height survey year | 2022 | [USGS 3D Elevation Program](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Stories | 5 stories | [USGS 3D Elevation Program](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Exterior wall area | 32,182 square feet | [SkyPSI estimator](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Parcel number | 123-042923330033 | [County and state public records](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |
| Land use | 3A COMMERCIAL LAND AND BUILDING | [County and state public records](https://skypsi.com/property/mn/minneapolis/spap13skg7fsj7g-2020-iona-lane-west-saint-paul/#how-we-know) |

## Cost ranges

Whole-building ranges from the SkyPSI estimator, calibrated October 2, 2026. Grade C: modelled from the Texas calibration. [What the grades mean](https://skypsi.com/estimates/methodology/confidence-grades/).

### Exterior soft wash

**Exterior soft wash by drone, whole building**

| Service | Low | Most likely | High |
| --- | --- | --- | --- |
| Facade wash (drone) | $2,500 | $4,500 | $7,500 |
| Facade wash with mold or growth treatment | $3,500 | $7,000 | $11,500 |

**Exterior soft wash from a boom lift and by rope access, whole building**

| Service | Low | Most likely | High |
| --- | --- | --- | --- |
| Facade wash, conventional access | $4,500 | $8,500 | $14,000 |

### Window cleaning

**Window cleaning by drone, whole building**

| Service | Low | Most likely | High |
| --- | --- | --- | --- |
| Exterior windows only | $1,000 | $2,000 | $3,000 |
| Windows inside and out | $1,500 | $3,000 | $5,500 |

**Window cleaning by rope access, whole building**

| Service | Low | Most likely | High |
| --- | --- | --- | --- |
| Exterior windows, rope access | $6,000 | $12,500 | $21,500 |
| Windows inside and out, rope access | $7,000 | $13,500 | $24,000 |

## Best method

- [Exterior soft wash](https://skypsi.com/estimates/exterior-soft-wash/): Drone has the lowest cost, most likely $4,500.
- [Window cleaning](https://skypsi.com/estimates/window-cleaning/): Drone has the lowest cost, most likely $2,000.

## Similar buildings nearby

- [2540 Cleveland Avenue North, Saint Paul](https://skypsi.com/property/mn/minneapolis/spvh9cqshxndkrs-2540-cleveland-avenue-north-saint-paul/)
- [1330 Industrial Boulevard, Minneapolis](https://skypsi.com/property/mn/minneapolis/spnz1dkd9gmqfaa-1330-industrial-boulevard-minneapolis/)
- [1000 Gramsie Road, Saint Paul](https://skypsi.com/property/mn/minneapolis/spfmarwjnnxt7zf-1000-gramsie-road-saint-paul/)
- [1100 County Road E East, Saint Paul](https://skypsi.com/property/mn/minneapolis/sp29gx5ryhemwme-1100-county-road-e-east-saint-paul/)
- [2008 American Boulevard East, Bloomington](https://skypsi.com/property/mn/minneapolis/sp04ymre2z64ynw-2008-american-boulevard-east-bloomington/)
- [1500 Park Place Boulevard, St. Louis Park](https://skypsi.com/property/mn/minneapolis/spp5ejdvecy458q-1500-park-place-boulevard-st-louis-park/)
- [1901 Killebrew Drive, Bloomington](https://skypsi.com/property/mn/minneapolis/spe6rgv1r6j3cd2-1901-killebrew-drive-bloomington/)
- [6053 Hudson Road, Woodbury](https://skypsi.com/property/mn/minneapolis/sp9jfh7vnj0hc0a-6053-hudson-road-woodbury/)

## How we know

Each fact names the source it comes from. A building file carries the source of each field, and SkyPSI shows that source beside the fact.

- [County and state public records](https://skypsi.com/estimates/methodology/sources-and-licensing/): Situs addresses, parcel numbers, land use, year built and floor counts from county appraisal districts and state open data.
- [USA Structures](https://disasters.geoplatform.gov/USA_Structures/): Building footprints, heights and occupancy from FEMA's USA Structures.
- [SkyPSI estimator](https://skypsi.com/estimates/methodology/sources-and-licensing/): SkyPSI's own price model, calibrated rates and building-class rules.
- [USGS 3D Elevation Program](https://www.usgs.gov/3d-elevation-program): Lidar elevation data that gives building heights where other sources have none.

Cost ranges come from the SkyPSI estimator, calibrated October 2, 2026. [How a SkyEstimate is built](https://skypsi.com/estimates/methodology/how-a-skyestimate-is-built/).

[Request a Quote](https://skypsi.com/request-a-quote)

---

Sources: County and state public records, USA Structures, SkyPSI estimator, USGS 3D Elevation Program.

Parcel and address facts from county appraisal districts and state open-data programs (public records). https://skypsi.com/estimates/methodology/sources-and-licensing/

Building footprints: USA Structures, FEMA Response Geospatial Office, Oak Ridge National Laboratory and U.S. Geological Survey (CC BY 4.0). https://disasters.geoplatform.gov/USA_Structures/

Building heights from the U.S. Geological Survey 3D Elevation Program (public domain). https://www.usgs.gov/3d-elevation-program

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