If you are writing a story, building a model, or comparing places to move, you need one table with the same definitions everywhere. This article points to our full city-level utility dataset, how we built it, and how to cite it.
What’s in the dataset
For each major U.S. city in our tool, we publish estimated average monthly amounts (USD) for:
- Electricity
- Natural gas
- Water and sewer
- Broadband internet
- Trash / recycling (where billed separately)
- A combined total
Each row includes city name, state, coordinates, population (where available), data vintage, and optional notes (for example, when trash is funded through taxes rather than a line-item bill).
👉 Open the interactive utility cost tool →
Download the raw CSV (for spreadsheets & newsrooms)
We provide a machine-readable CSV that mirrors what powers the tool. Use it for charts, rankings, fact-checks, or classroom exercises.
- Download the full CSV → (GET request; filename includes the export date)
The CSV includes a canonical tool URL per city so you can link readers to the right place without hunting for slugs.
Methodology & citation
Please read the methodology before quoting figures in hard news — it covers benchmark home assumptions, sources, and limitations.
Suggested citation (adapt to your style guide):
WealthSpott, “Average utility bills by city,” interactive tool and dataset,
https://wealthspott.com/tools/utility-costs, accessed [date].
Embed the interactive map on your site
For blogs and publishers who want the live map and ranked table (not just a static screenshot), use our embeddable page in an iframe. Copy/paste code and options are on the methodology page.
- Get the iframe embed code → (scroll to Embed the interactive tool)
- Direct embed URL:
/embed/utility-costs
Embeds include a visible WealthSpott link; please keep attribution.
Why we publish all three (tool + CSV + embed)
- Tool — exploration and SEO landing pages per city
- CSV — reproducibility and data journalism
- Embed — distribution and backlinks from niche sites that don’t want to host raw data
Same underlying numbers; pick the format that fits the audience.
Related reading
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About the author
David Freedland
CFP® · Senior Editor, Personal Finance
David Freedland has over 12 years of experience reviewing consumer financial products across credit, lending, insurance, and investing. He has contributed to multiple personal finance publications. His methodology focuses on total cost of ownership, not promotional rate windows.
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