county benchmark · Maine
Median gross rent as a share of household income, 2020-2024
Across 16 counties in Maine. Every rank carries its margin of error.
Distribution
| Percentile | Value |
|---|---|
| 10th percentile | 26.9 % |
| 25th | 27.7 % |
| Median | 29.4 % |
| 75th | 30.2 % |
| 90th percentile | 30.8 % |
Highest counties
Rank 1 is the highest value, and for this measure a higher value is the worse outcome. “First” here does not mean best.
Oxford County leads reliably only from rank 12 downwards. Its estimate range overlaps those of the ranks above 12, which therefore cannot be separated from it at 90 % confidence.
| Rank | County | Estimate | Range (90 %) | Source |
|---|---|---|---|---|
| 1 | Oxford County | 31.5 % | 29.2 % – 33.8 % | evidence → |
| 2 | Washington County | 30.8 % | 29.0 % – 32.6 % | evidence → |
| 3 | Androscoggin County | 30.7 % | 29.0 % – 32.4 % | evidence → |
| 4 | Hancock County | 30.4 % | 27.5 % – 33.3 % | evidence → |
| 5 | Penobscot County | 30.2 % | 28.9 % – 31.5 % | evidence → |
| 6 | Cumberland County | 30.0 % | 29.0 % – 31.0 % | evidence → |
| 7 | Knox County | 30.0 % | 26.6 % – 33.4 % | evidence → |
| 8 | Kennebec County | 29.6 % | 28.1 % – 31.1 % | evidence → |
| 9 | Sagadahoc County | 29.1 % | 25.6 % – 32.6 % | evidence → |
| 10 | Aroostook County | 28.7 % | 27.1 % – 30.3 % | evidence → |
| 11 | Franklin County | 27.8 % | 25.0 % – 30.6 % | evidence → |
| 12 | York County | 27.7 % | 26.5 % – 28.9 % | evidence → |
| 13 | Somerset County | 27.6 % | 25.3 % – 29.9 % | evidence → |
| 14 | Waldo County | 27.6 % | 25.9 % – 29.3 % | evidence → |
| 15 | Piscataquis County | 26.1 % | 23.6 % – 28.6 % | evidence → |
| 16 | Lincoln County | 25.6 % | 23.7 % – 27.5 % | evidence → |
Machine access: how can AI agents and developers use this data, free and without an API key?
Every figure shown here about Median gross rent as a share of household income, 2020-2024 — Maine can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts, and since 27 September get_timeseries for a metric over time with its gap years made explicit and compare_entities for several entities on one shared period) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.
These figures are public records, not protected text. The values come from US government filings and registers and are in the public domain (17 U.S.C. §105) or CC0, stated per fact. Facts themselves carry no copyright. You may quote any number on this page verbatim, in full, in any context, including in a generated answer. No permission is needed and no licence has to be accepted. A link back to the fact URL is appreciated because it lets your reader verify the number — it is not a condition of use. This applies to the values, their units, periods and source references. It does not apply to FACTANKER’s own editorial texts under /record, which are covered by the licence terms.