title: “MARKET ANALYSIS SUMMARY” author: “Katherine Button” date: “December 03, 2025” output: pdf_document: toc: true toc_depth: 2 geometry: margin=1in fontsize: 12pt mainfont: Arial —
This report summarizes the subject market using two data scopes:
Key market indicators analyzed include:
Both tables include Median Sale Price and Median Days on Market (DOM) to strengthen reliability and market relevance.
ADFmarket_summary_vertical <- read_csv("data/ADFmarket_summary_vertical.csv")
ADFmarket_summary_vertical <- ADFmarket_summary_vertical %>%
mutate(across(where(is.numeric), ~ comma(., accuracy = 1)))
kable(ADFmarket_summary_vertical, caption = "Assignment Data Frame — Key Indicators")
| Metric | Value |
|---|---|
| Number_Sold | 128 |
| Sold_Min_Price | 230,000 |
| Sold_Max_Price | 615,000 |
| Sold_Median_Price | 476,250 |
| Median_Year_Built | 1,981 |
| Median_DOM | 12 |
| Number_Listings | 30 |
| Listing_Min_Price | 405,000 |
| Listing_Max_Price | 560,000 |
| Absorption_Rate | 11 |
| Inventory | 3 |
CMSmarket_summary_vertical <- read_csv("data/CMSmarket_summary_vertical.csv")
CMSmarket_summary_vertical <- CMSmarket_summary_vertical %>%
mutate(across(where(is.numeric), ~ comma(., accuracy = 1)))
kable(CMSmarket_summary_vertical, caption = "Competitive Market Segment — Key Indicators")
| Metric | Value |
|---|---|
| Number_Sold | 50 |
| Sold_Min_Price | 395,000 |
| Sold_Max_Price | 565,000 |
| Sold_Median_Price | 487,500 |
| Number_Listings | 17 |
| Listing_Min_Price | 420,900 |
| Listing_Max_Price | 559,000 |
| Absorption_Rate | 4 |
| Inventory | 4 |
The CMS provides a reliable, competitive set of comparables for the subject property. Median sale price and DOM reflect current buyer behavior, and months of inventory indicate overall market balance. Time-trend analysis based on CMS sales supports the market condition (time) adjustments applied in the Sales Comparison Approach.
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