CAROLINA LAND NETWORK / RESEARCH / REPORT 01

What Makes
Land Sell?

How acreage, terrain, and property characteristics relate to land values and marketability in Rutherford County, North Carolina.

CHRIS ST. CLAIRJAN 2017 – NOV 2026NORTH CAROLINA
01 / HISTORIES3,587

Retained parcel-linked histories

02 / SALES1,941

Selected closed transactions

03 / PERIOD2017–26

Nearly ten years of observations

THE QUESTION BEHIND THE RESEARCH

What Makes Some Land Sell While Other Properties Sit on the Market?

We examined nearly ten years of Rutherford County land listings to see how acreage, slope, access, utilities, and other property characteristics relate to selling prices and the likelihood of a sale. The goal is to better understand what distinguishes properties that sell from those that remain on the market.

The land that sells for the most per acre is not necessarily the land most likely to reach closing within a year.

That is the central finding of Carolina Land Network’s analysis of 3,587 property histories and 1,941 selected closed transactions in Rutherford County, North Carolina. Properties larger than 5 acres and no larger than 10 acres recorded the strongest one-year closing rate among the broad acreage categories. Small lots achieved much higher prices per acre, but weaker near-term closing performance. Steeper properties generally recorded lower closing rates, while reported subdivision names, utilities, restrictions, and amenities identified additional differences in the observed market.

The research looks beyond successful sales. It includes eligible histories without a recorded closing, helping distinguish what sold properties achieved from how often marketed properties reached closing.

These are historical descriptions of the supplied MLS records—not current appraisals, guaranteed sale probabilities, or estimates of what any single feature adds to a property’s value.

CLN RESEARCH / 01

The main findings at a glance

The more-than-5-through-10-acre category recorded a 48.5% one-year closing rate, compared with 28.9% for properties of 1 acre or less.

Among 5–10-acre properties, the one-year closing rate was 57.5% for median slopes below 15%, versus 34.7% for median slopes of 30% or greater.

Properties with a named subdivision reported recorded a higher pooled median sold price per acre, but a lower one-year closing rate: 25.7%, compared with 46.3% for properties without a named subdivision reported.

Long-range-view properties recorded a higher median sold price per acre than properties with no view reported, but weaker one-year closing performance.

Later listing cohorts generally recorded stronger closing rates than the earliest cohorts, although these comparisons do not hold property quality or inventory mix constant.

CLN RESEARCH / 02

What the study measures

The unit of analysis is one retained parcel-linked history, not one MLS listing.

If the same parcel expired, was withdrawn, and later appeared under another MLS record, those records remained part of the same retained history. The closing-rate clock begins at the first eligible listing on or after January 1, 2017; it does not restart with each additional listing. Each history contributes at most one selected closing transaction.

Three different measures describe the market:

MeasureWhat it tells us
Median sold price per acreWhat the selected successful transactions achieved
Closing within 180 or 365 daysHow frequently eligible histories recorded a closing within a defined period
Median elapsed listing-to-close daysCalendar time from the first eligible listing to the selected closing among successful histories

Elapsed listing-to-close time is not the same as MLS days on market. It can include gaps between listing campaigns and does not represent uninterrupted active marketing.

A history enters a closing-rate denominator only when it has the full required follow-up before the November 11, 2026 cutoff. Recent listings are therefore not counted as one-year failures before a year has elapsed.

CLN RESEARCH / 03

Acreage separates very different land markets

DATA VISUALIZATION

The middle acreage advantage

One-year closing rates by acreage category

≤1 acre
28.9%
>1–3
29.4%
>3–5
36.8%
>5–10
48.5%
>10–20
44.0%
>20–50
41.7%
>50–100
41.4%
>100
27.8%
One-year closing rate among histories eligible for a full year of follow-up. Descriptive, not predictive.

Small lots recorded the highest median sale prices per acre. Larger tracts generally recorded higher total transaction prices and lower prices per acre.

But the strongest observed one-year closing performance appeared in the middle acreage categories—not among the smallest lots or the largest tracts.

Acreage categoryHistoriesSelected salesMedian sale priceMedian sold price per acreClosed within one year
1 acre or less1,111570$12,500$22,090302/1,045 — 28.9%
More than 1–3 acres1,307667$22,000$12,097354/1,204 — 29.4%
More than 3–5 acres347200$31,000$7,847118/321 — 36.8%
More than 5–10 acres289176$45,000$6,931126/260 — 48.5%
More than 10–20 acres237154$91,000$6,59995/216 — 44.0%
More than 20–50 acres179112$163,950$5,70668/163 — 41.7%
More than 50–100 acres7743$250,000$4,36329/70 — 41.4%
Over 100 acres4019$725,000$4,74710/36 — 27.8%

Closing fractions show recorded closings divided by histories eligible for a full year of follow-up. Price statistics use selected sales through the observation cutoff, not only sales completed within one year.

The 5–10-acre category also recorded the strongest six-month closing rate among these broad groups: 97 of 274 eligible histories, or 35.4%. Its median elapsed listing-to-close time among successful histories was 126 days, compared with 278 days for properties of 1 acre or less.

These patterns are consistent with different buyer pools and purchase-price constraints. However, buyer motivations are not directly recorded in the study, so those explanations remain interpretations rather than measured findings.

CLN RESEARCH / 04

Steeper land generally recorded weaker closing performance

DATA VISUALIZATION

Terrain and closing performance

One-year closing rates by GIS median slope

Below 15%
46.3%
15–30%
32.7%
30%+
22.5%
One-year closing rate among histories eligible for a full year of follow-up. Descriptive, not predictive.

Across all acreage combined, one-year closing rates declined as median slope increased.

GIS median slopeHistoriesClosed within one yearMedian elapsed days among successful histories
Below 15%1,122469/1,013 — 46.3%145
15% to below 30%1,211367/1,122 — 32.7%245
30% or greater1,254266/1,180 — 22.5%405

The relationship also appears within the common acreage categories, rather than only in the pooled countywide comparison.

Acreage categoryBelow 15% slope: one-year closing rate30% or greater: one-year closing rate
1 acre or less37.3%22.3%
More than 1–3 acres48.1%19.3%
More than 3–5 acres52.3%22.0%
More than 5–10 acres57.5%34.7%
More than 10–20 acres53.8%29.6%
More than 20–50 acres52.9%25.0%

Among 5–10-acre histories, for example, 50 of 87 eligible lower-slope properties closed within one year. The corresponding count for the steepest group was 33 of 95.

This does not establish that slope alone caused the difference. Location, asking prices, access, utilities, restrictions, and other characteristics can vary between the groups.

CLN RESEARCH / 05

Does steep land sell for less?

Often in these comparisons, but not universally.

For properties larger than 5 acres and no larger than 10 acres, median sold price per acre was $9,101 in the lower-slope group and $4,288 in the steepest group. Among 10–20-acre properties, the corresponding medians were $7,763 and $4,496.

Small lots showed the opposite price relationship:

Properties of 1 acre or lessMedian sold price per acreOne-year closing rate
Median slope below 15%$22,80737.3%
Median slope of 30% or greater$33,33322.3%

The steepest small lots achieved higher prices per acre among successful sales, but a smaller share of eligible histories reached closing within a year.

That combination is why a universal “steep-land discount” would oversimplify the findings. Median slope also does not establish verified buildable acreage or identify the suitability of a particular building site.

CLN RESEARCH / 06

Reported subdivision names identify another distinct segment

Properties with a named subdivision reported had higher pooled median prices per acre, but substantially weaker near-term closing performance.

MeasureNamed subdivision reportedNo named subdivision reported
Histories2,2301,357
Selected sales1,133808
Median total sale price$21,900$45,000
Median sold price per acre$11,111$9,785
Six-month closing rate369/2,165 — 17.0%461/1,285 — 35.9%
One-year closing rate540/2,100 — 25.7%562/1,215 — 46.3%
Median elapsed listing-to-close days374125

This is a reporting classification, not a legal subdivision determination. Blank names, explicit “none” entries, and generic “Other” entries are grouped as “No named subdivision reported.”

The named-subdivision inventory also contains a different mix of acreage and terrain. Its higher pooled price per acre therefore does not establish a subdivision premium, and its lower closing rate does not establish that restrictions or association requirements caused slower sales.

CLN RESEARCH / 07

The closing-rate difference persisted across listing periods

First-listed periodReported subdivision statusClosed within one year
2017–2019Named subdivision reported116/856 — 13.6%
2017–2019No named subdivision reported101/335 — 30.1%
2020–2022Named subdivision reported265/721 — 36.8%
2020–2022No named subdivision reported218/416 — 52.4%
2023–2025Named subdivision reported159/523 — 30.4%
2023–2025No named subdivision reported243/464 — 52.4%

Late-2025 histories without a complete year of follow-up are excluded from the one-year denominators.

The report also documents considerable variation among reported development names. Those names have not been independently reconciled for aliases or legal community boundaries, and some price summaries contain very few sales. They should not be read as rankings of development quality.

CLN RESEARCH / 08

Views and water features show why price and speed must be separated

Reported long-range views were associated with higher median sale prices per acre than no reported view, but lower one-year closing rates and longer elapsed time among successful histories.

Reported view categorySelected salesMedian sold price per acreOne-year closing rateMedian elapsed days
No view reported1,197$10,012754/2,006 — 37.6%170
Mountain view, not long-range326$10,113167/549 — 30.4%334
Long-range view297$13,000126/528 — 23.9%458
Water view43$32,83124/58 — 41.4%343

A similar distinction appears in the water-feature categories. Properties with a lake mention recorded a median sold price per acre of $16,224, compared with $9,939 where no water feature was reported. Their one-year closing rate, however, was 22.2%, compared with 35.3%.

These categories measure MLS wording. A lake, dock, beach, or other water-related mention may describe a shared community amenity rather than deeded frontage. A blank field does not establish that a feature is physically absent.

The figures are not adjusted view or waterfront premiums.

CLN RESEARCH / 09

Utilities: installed systems, reported service, and work still needed are different

The study separates reported installed wells and septic systems from descriptions indicating that installation is needed. Public-service wording is reported separately and does not confirm an installed or active connection.

Selected water-source results illustrate the differences:

Water-source categorySelected salesMedian sold price per acreOne-year closing rate
Well needed743$9,337470/1,206 — 39.0%
Public water reported454$18,237278/852 — 32.6%
Community well136$11,36660/236 — 25.4%
Well installed99$12,70375/148 — 50.7%

The installed-well group recorded stronger one-year closing performance, but that does not establish the return on installing a well. Its properties may differ in acreage, location, improvements, and other characteristics.

The septic results reinforce that caution. “Septic needed” histories recorded a 36.7% one-year closing rate, compared with 31.1% for “septic installed.” Public-sewer reporting was associated with a much higher median price per acre, but not a correspondingly exceptional closing rate.

These are comparisons of different property groups—not controlled before-and-after measurements of infrastructure improvements.

CLN RESEARCH / 10

Road surfaces and restrictions also require context

Properties reporting paved or concrete surfaces recorded a median sold price per acre of $11,775 and a one-year closing rate of 32.3%. Gravel-only properties recorded $10,320 and 30.6%, while dirt-only properties recorded $7,148 and 48.7%.

The dirt-road result is not evidence that dirt access improves marketability. The groups contain different property inventories, and road-surface reporting does not independently verify legal access or road-maintenance obligations.

Restriction categories show another substantial descriptive difference:

Reported restriction categoryMedian sold price per acreOne-year closing rate
Architectural review$13,201262/1,055 — 24.8%
Use or size restriction$10,000266/966 — 27.5%
Explicit “No Restrictions”$7,937317/576 — 55.0%

Explicit “No Restrictions” is kept separate from a blank field and from “No representation.” None of these MLS categories replaces examination of the applicable legal documents.

CLN RESEARCH / 11

How the observed market changed over time

Later listing cohorts generally recorded stronger one-year closing performance than the earliest cohorts.

For the 5–10-acre category:

First-listed periodEligible historiesClosed within one yearRate
2017–2019872023.0%
2020–2022865361.6%
2023–2025875360.9%

Closing-year price summaries answer a different question: what did the selected transactions that closed in each year achieve?

Median sold price per acre was $4,592 in 2017, $13,523 in 2022, $12,731 in 2025, and $11,815 in 2026 through November 11. These are nominal medians of the properties sold, not a constant-quality appreciation index.

The study does not establish that an individual parcel appreciated at the same rate, nor that later prices reflect changing preferences for any single feature.

CLN RESEARCH / 12

Did known earlier marketing change the overall findings?

The research identified 236 retained histories with an available MLS listing before 2017. Another 3,351 had no earlier listing found in the supplied records; that does not establish first-ever marketing.

Excluding the known earlier-marketing histories produced modest aggregate changes:

MeasureAll retained historiesExcluding known pre-2017 histories
Six-month closing rate24.1%24.7%
One-year closing rate33.2%33.6%
Median sold price per acre$10,427$10,402

This indicates that the aggregate results are not substantially dependent on those known earlier histories. It does not establish equal stability in every smaller acreage, terrain, or amenity category.

CLN RESEARCH / 13

How buyers and sellers should use this research

The findings support asking two separate questions:

What have comparable successful transactions achieved?

How often have similar marketed properties reached closing within the relevant timeframe?

Use closed transactions to examine realized prices. Use the broader listing histories—including histories without an observed closing—to understand marketing conditions and closing outcomes.

For an individual property, acreage and location provide a starting point. Terrain, reported subdivision, access, utilities, restrictions, views, and water-related features add context. The study does not justify adding or subtracting a fixed percentage for one characteristic while ignoring the rest.

A high price per acre among successful sales is not, by itself, evidence that the entire category sells readily.

CLN RESEARCH / 14

Research methods and limitations

The analysis uses supplied Canopy MLS research exports matched with Rutherford County GIS and terrain information. It excludes 144 parcel identifiers previously flagged for materially inconsistent advertised acreage.

Important construction rules include:

Acreage groups use median advertised acreage across eligible records for each retained parcel history.

Price per acre uses advertised acreage on the selected closing record.

Reported characteristic categories come from the first eligible listing.

The selected sale is the earliest valid eligible closing, with documented tie-breakers.

Closing rates require complete follow-up for the stated horizon.

Acreage grouping is retrospective and may incorporate information reported after initial marketing. A shared parcel identifier does not prove that the legal tract or marketed offering remained unchanged. Multiple MLS records may include later resale marketing, not simply unsuccessful relisting.

The research does not independently verify buildability, utility connections, legal access, waterfront rights, or the completeness of MLS coverage. It may omit off-MLS transactions and unobserved earlier marketing. Small groups require caution, and the comparisons do not control simultaneously for location, market period, asking price, and other property differences.

CLN RESEARCH / 15

The bottom line

Price and marketability are related, but they are not interchangeable.

In the supplied Rutherford County histories, mid-sized acreage categories generally recorded stronger near-term closing performance than small lots. Steeper groups generally recorded weaker closing performance within common acreage categories. Reported subdivisions and amenities identified additional differences, but those pooled comparisons did not isolate causal premiums or penalties.

The useful lesson is not that one type of land is always better. It is that a realistic assessment must consider both what successful sales achieved and what happened to the broader population of properties offered for sale.

CLN RESEARCH / 16

About this research

Carolina Land Network Research Analysis 001 was prepared by Chris St. Clair of Carolina Land Network. This webpage summarizes the report’s descriptive findings for listings beginning January 1, 2017, through the November 11, 2026 observation cutoff. Independent source auditing and external peer review have not been performed.

Generative AI assisted with methods, coding and tabulation, critique, interpretation, consistency checks, editing, and drafting. ChatGPT-assisted work and Perplexity review comments informed the research process. AI-assisted checks are not independent auditing or peer review. The human author is responsible for the published methods, findings, and interpretations.

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