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Real estate sales for Pierce County, WA in 2020.

Usage

pierce_county_house_sales

Format

A data frame with 16814 rows and 19 variables.

sale_date

Date the legal document (deed) was executed.

sale_price

Dollar amount recorded for the sale.

house_square_feet

Sum of the square feet for the building.

attic_finished_square_feet

Finished living area in the attic.

basement_square_feet

Total square footage of the basement..

attached_garage_square_feet

Total square footage of the attached or built in garage(s).

detached_garage_square_feet

Total detached garage(s) square footage.

fireplaces

Total count of single, double or PreFab stoves.

hvac_description

Text description associated with the predominant heating source for the built-as structure i.e. Forced Air, Electric Baseboard, Steam, etc. .

exterior

Predominant type of construction materials used for the exterior siding on Residential Buildings.

interior

Predominant type of materials used on the interior walls. i.e. Sheetrock or Paneling.

stories

Number of floors/building levels above grade. Stories do not include attic or basement areas.

roof_cover

Material used for the roof. I.e. Composition Shingles, Wood Shake, Concrete Tile, etc.

year_built

Year the building was built, as stated by the building permit or a historical record.

bedrooms

Number of bedrooms listed for a residential property.

bathrooms

Number of baths listed for a residential property. The number is listed as a decimal, i.e. 2.75 = two full and one three-quarter baths. A tub/sink/toilet combination (plus any additional fixtures) is considered 1.0 bath. A shower/sink/toilet combination (plus any additional fixtures) is 0.75 bath. A sink/toilet combination is .5 bath.

waterfront_type

Describes the type of waterfront the property adjoins or has legal access to.

view_quality

Assigned to reflect the market appeal of the overall view available from the dwelling or property.

utility_sewer

Identifies if sewer/septic is installed, available or not available or if the property does not support an on site sewage disposal system.

Examples

library(dplyr)
library(lubridate)
#> 
#> Attaching package: ‘lubridate’
#> The following objects are masked from ‘package:base’:
#> 
#>     date, intersect, setdiff, union

# List house sales frequency and average price grouped by month
pierce_county_house_sales |>
  mutate(month_sale = month(sale_date)) |>
  group_by(month_sale) |>
  summarize(freq = n(), mean_price = mean(sale_price)) |>
  arrange(desc(freq))
#> # A tibble: 12 × 3
#>    month_sale  freq mean_price
#>         <dbl> <int>      <dbl>
#>  1         10  1743    477112.
#>  2          9  1725    487640.
#>  3          7  1699    470293.
#>  4          8  1663    471328.
#>  5          6  1531    460242.
#>  6         11  1492    479536.
#>  7         12  1429    485101.
#>  8          3  1202    450739.
#>  9          5  1156    430333.
#> 10          4  1096    436553.
#> 11          1  1056    408079.
#> 12          2  1022    428170.

# List house sales frequency and average price group by waterfront type
pierce_county_house_sales |>
  group_by(waterfront_type) |>
  summarize(freq = n(), mean_price = mean(sale_price)) |>
  arrange(desc(mean_price))
#> # A tibble: 5 × 3
#>   waterfront_type    freq mean_price
#>   <chr>             <int>      <dbl>
#> 1 "WF Salt"           209   1109730.
#> 2 "WF Lake"           225    898376.
#> 3 "WF Stream/Creek"    93    496005.
#> 4 "WF River"           26    447623.
#> 5 ""                16261    446672.