Sell or buy a laundromat in Carbondale.

What the housing data suggests in Carbondale

Tenure and the potential service question

In Carbondale, the ACS estimates 7,148 renter-occupied homes out of 9,714 occupied homes. The resulting 73.6% renter share is a meaningful reason to investigate apartment laundry access. It does not mean that 73.6% of households use public laundries: in-unit machines, usable building laundry, affordability and travel convenience still determine the available service need.

For a seller, support the store’s relationship to that housing with observed customer patterns and consistent receipts. For a buyer, sample the competing laundry options in the buildings that customers can realistically reach. A large renter base can coexist with strong apartment amenities or heavy store competition, so the customer-access question should be resolved before a citywide demographic narrative enters the price.

Structures and customer access

The housing-structure estimate adds another distinction: 7,056 of 12,094 housing units in Carbondale are in structures with two or more units, a 58.3% share. This includes properties of different ages, sizes and tenure. It is a built-form measure, not a count of apartments lacking laundry.

Use that concentration to organize building-level fieldwork. Check whether laundry rooms are available, maintained and large enough for residents, and whether a competing public store offers a practical advantage. Customer walking routes, loading convenience and reliable opening hours can matter as much as the distance shown on a map.

Housing age and the inspection plan

About 57.6% of Carbondale’s housing stock is estimated to predate 1980, equivalent to 6,970 units. The mixed age profile means assumptions about laundry access should be checked building by building. Both older renovated rentals and newer properties with shared amenities can differ from the impression given by a neighborhood label.

At the business premises, separate routine maintenance from a project needed for future equipment or a new service. Request installed-cost quotes and identify who must approve the work. That distinction helps a seller explain the existing operation and a buyer avoid treating an unpriced improvement as a finished asset.

Population context for Carbondale

The Vintage 2024 estimate places Carbondale at 22,223 residents, compared with a 2020 estimates base of 22,300. The approximate change is -0.3%, a comparatively stable municipal backdrop on this measure. Stable population does not mean stable competition, building laundry access or household routines.

Concentrate on the operating evidence: visit patterns, machine availability, service quality and documented receipts. The more useful question is whether this business can retain profitable customers through an ownership change. A city population headline cannot resolve that operating question.

Compare Carbondale with nearby guides

Among these comparison places, Mount Vernon has the highest renter share at 46.9%, while Marion is at 36.7%. Carbondale is 26.7 percentage points above Mount Vernon. Compare absolute households as well as percentages: they answer different questions about scale and housing mix.

The comparison places are the nearest other covered cities by Census internal-point coordinates. This is an orientation tool, not a driving-distance calculation, a retail trade-area boundary or evidence that their laundromats compete directly. Inspect the actual routes, housing and alternatives around a candidate address.

Three comparisons to guide local fieldwork

Carbondale and Marion: scale and housing mix

The estimated renter base in Carbondale is 7,148, compared with 3,033 in Marion. The difference is approximately 4,115 renter households, with Carbondale at about 2.36 times the Marion count. Renter share tells a separate part of the story: 73.6% in Carbondale versus 36.7% in Marion, a 36.9-percentage-point gap. Use both absolute scale and concentration when selecting addresses to investigate.

In this pair, the larger difference between the two housing-form measures is the multi-unit share: 58.3% for Carbondale and 28.8% for Marion (29.5 percentage points). The pre-1980 shares are 57.6% and 49.2%. For fieldwork, compare the laundry facilities and access routes in the actual multi-unit clusters before applying an operating model from one place to the other. More units in a shared structure do not necessarily mean fewer laundry amenities.

Population context also differs: Carbondale is estimated at 22,223 in Vintage 2024, while Marion is at 17,021. Changes from their respective 2020 bases are -0.3% and 1.0%. Compare the store’s own monthly trend with those observations rather than assuming a population trend flows directly into receipts. See the Marion guide for its underlying counts and preparation questions.

Carbondale and Harrisburg: scale and housing mix

The estimated renter base in Carbondale is 7,148, compared with 1,332 in Harrisburg. The difference is approximately 5,816 renter households, with Carbondale at about 5.37 times the Harrisburg count. Renter share tells a separate part of the story: 73.6% in Carbondale versus 38.5% in Harrisburg, a 35.1-percentage-point gap. Use both absolute scale and concentration when selecting addresses to investigate.

In this pair, the larger difference between the two housing-form measures is the multi-unit share: 58.3% for Carbondale and 25.3% for Harrisburg (33.0 percentage points). The pre-1980 shares are 57.6% and 69.8%. For fieldwork, compare the laundry facilities and access routes in the actual multi-unit clusters before applying an operating model from one place to the other. More units in a shared structure do not necessarily mean fewer laundry amenities.

Population context also differs: Carbondale is estimated at 22,223 in Vintage 2024, while Harrisburg is at 7,937. Changes from their respective 2020 bases are -0.3% and -4.2%. Compare the store’s own monthly trend with those observations rather than assuming a population trend flows directly into receipts. See the Harrisburg guide for its underlying counts and preparation questions.

Carbondale and Mount Vernon: scale and housing mix

The estimated renter base in Carbondale is 7,148, compared with 2,867 in Mount Vernon. The difference is approximately 4,281 renter households, with Carbondale at about 2.49 times the Mount Vernon count. Renter share tells a separate part of the story: 73.6% in Carbondale versus 46.9% in Mount Vernon, a 26.7-percentage-point gap. Use both absolute scale and concentration when selecting addresses to investigate.

In this pair, the larger difference between the two housing-form measures is the multi-unit share: 58.3% for Carbondale and 25.5% for Mount Vernon (32.8 percentage points). The pre-1980 shares are 57.6% and 70.7%. For fieldwork, compare the laundry facilities and access routes in the actual multi-unit clusters before applying an operating model from one place to the other. More units in a shared structure do not necessarily mean fewer laundry amenities.

Population context also differs: Carbondale is estimated at 22,223 in Vintage 2024, while Mount Vernon is at 14,162. Changes from their respective 2020 bases are -0.3% and -3.1%. Compare the store’s own monthly trend with those observations rather than assuming a population trend flows directly into receipts. See the Mount Vernon guide for its underlying counts and preparation questions.

These comparisons are descriptive, not tests of statistical significance or rankings of store returns. ACS sampling error can be material, especially for small places. Use the differences to choose what to inspect and which documents to request; do not price an individual store from a small percentage gap.

Preparing a Carbondale laundromat for sale

Reconcile usage and collections

The 58.3% multi-unit housing share gives useful context, but the store’s own receipts must establish the business being sold. Explain card settlements, cash timing and service lines separately.

Show service continuity

Document hours, machine availability, refunds and staff procedures. A buyer should understand how the operation serves its customer base without relying on the owner’s personal routine.

Price upcoming capital honestly

Provide equipment condition and installed-cost information. Avoid presenting a future retrofit or untested vend-price change as earnings already achieved.

Use the seller preparation checklist to organize the package before deciding what to release. The selling process guide explains inquiry qualification, staged disclosure and the decisions behind the complete offer.

Buyer questions to resolve at the address

• Which specific housing clusters can reach this Carbondale address conveniently, and what laundry options are already available there?
• How do the store’s verified receipts compare across periods while Carbondale’s wider housing mix stays separate from the operating model?
• Who owns and maintains laundry facilities in nearby multi-unit buildings, and do those facilities meet residents’ needs?
• What building upgrades have changed laundry access in older nearby housing?
• What does an installed equipment budget include beyond the machines: removal, utility work, permits and downtime?
• Which lease rights, software accounts, service contracts and approvals can transfer to a buyer?
• After replacing the seller’s labor and funding maintenance and debt, how much cash remains under a downside case?

Put the unanswered questions into a request log with a responsible party and the evidence needed to resolve each one. Use the diligence process guide to sequence specialist work after the basic financial and premises facts are credible.

Keep city context separate from value

There is no supported city-specific laundromat multiple in this profile. National reported sold-business benchmarks can frame a pricing discussion, but the actual income definition, assets, lease, equipment obligations and owner role determine whether a comparison fits. Real estate should be valued separately from the operating business.

Try the transparent value workspace with verified SDE, then use the cash-flow calculator to test replacement labor, capital reserves and financing. Treat those outputs as scenarios built from your inputs rather than a prediction that the store will achieve a return.

Data definitions and limits

Housing values are period estimates from the same ACS release. A margin of error shown for the renter count does not automatically describe the uncertainty in the computed percentage; that requires a separate ratio calculation. The other table counts also have published margins of error in the source files. Small geographic differences should not be treated as precise rankings.

Multi-unit share sums B25024 categories for structures with two or more units. Pre-1980 share sums the applicable construction periods in B25034. The population change compares the Vintage 2024 estimate with that vintage’s 2020 estimates base; it is not an annual forecast. City boundaries and the actual service area can differ substantially.