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labor market · Alaska

Unemployment in Skagway Municipality

6.7% annual average in 2025, 16 years on record.

FIPS 02230SOURCE: BLS LAUSNot seasonally adjusted

Cite: FACTANKER, https://factanker.com/us/ak/skagway-municipality/unemployment

FACTANKER — In Skagway Municipality, Alaska, the U.S. Bureau of Labor Statistics puts the unemployment rate at 2.6% in July 2026, and at 6.7% as the annual average for 2025. The labor force was 985 people in 2025. These are model-based estimates for the county, not seasonally adjusted, and they are benchmarked so the counties of a state sum to the state total.

What stands out in Skagway Municipality

Selected from this county’s own record. Which of these observations appear depends on what its series actually shows — a county with a short record or a steady labor force gets different ones.

The denominator moved too. The labor force went from 716 people in 2010 to 985 in 2025 (+37.6%). The rate below is a share of this group, so read the two together.

The range this county actually moves in. Across 16 years on record, the annual unemployment rate peaked at 21.8% in 2020 and bottomed at 5.3% in 2023 — a spread of 16.5 percentage points. A single current figure says little without that range.

Season, not trend. Over the last twelve months the rate ranged from 1.5% (August 2025) to 21.0% (January 2026), a swing of 19.5 points. BLS does not seasonally adjust county figures, so a month-to-month move of this size is usually the calendar rather than the economy. Compare annual averages instead.

Where this stands. In 2025 the annual rate here was 6.7%, against a median of 4.0% across the 3,221 counties with a figure for that year, and 5.4% across the 30 counties in Alaska. The middle eight tenths of counties lay between 2.9% and 5.8% — this county was above that band.

Month by month

The most recent 35 months on record, as published — raw, not seasonally adjusted.

PeriodValueSource
Aug 20231.4%evidence →
Sep 20231.3%evidence →
Oct 20233.6%evidence →
Nov 202310.1%evidence →
Dec 202311.6%evidence →
Jan 202414.0%evidence →
Feb 202416.3%evidence →
Mar 202415.3%evidence →
Apr 20247.5%evidence →
May 20242.2%evidence →
Jun 20241.9%evidence →
Jul 20241.6%evidence →
Aug 20241.2%evidence →
Sep 20241.3%evidence →
Oct 20244.6%evidence →
Nov 202413.2%evidence →
Dec 202417.0%evidence →
Jan 202518.1%evidence →
Feb 202519.9%evidence →
Mar 202515.8%evidence →
Apr 20257.9%evidence →
May 20253.0%evidence →
Jun 20252.4%evidence →
Jul 20252.2%evidence →
Aug 20251.5%evidence →
Sep 20251.9%evidence →
Nov 202516.5%evidence →
Dec 202518.3%evidence →
Jan 202621.0%evidence →
Feb 202619.7%evidence →
Mar 202617.4%evidence →
Apr 20269.7%evidence →
May 20263.9%evidence →
Jun 20263.0%evidence →
Jul 20262.6%evidence →

Unemployment rate, annual averages

16 years on record, 2010 to 2025. Published annual averages, not computed by us.

PeriodValueSource
201014.8%evidence →
201116.3%evidence →
201214.0%evidence →
201312.3%evidence →
201411.7%evidence →
201511.3%evidence →
20169.8%evidence →
20178.9%evidence →
20188.1%evidence →
20198.5%evidence →
202021.8%evidence →
202113.4%evidence →
20226.5%evidence →
20235.3%evidence →
20245.7%evidence →
20256.7%evidence →

Unemployed, annual averages

16 years on record, 2010 to 2025. Published annual averages, not computed by us.

Employed, annual averages

16 years on record, 2010 to 2025. Published annual averages, not computed by us.

PeriodValueSource
2010610evidence →
2011596evidence →
2012644evidence →
2013691evidence →
2014707evidence →
2015716evidence →
2016805evidence →
2017842evidence →
2018859evidence →
2019783evidence →
2020499evidence →
2021548evidence →
2022773evidence →
2023823evidence →
2024904evidence →
2025919evidence →

Labor force, annual averages

16 years on record, 2010 to 2025. Published annual averages, not computed by us.

PeriodValueSource
2010716evidence →
2011712evidence →
2012749evidence →
2013788evidence →
2014801evidence →
2015807evidence →
2016892evidence →
2017924evidence →
2018935evidence →
2019856evidence →
2020638evidence →
2021633evidence →
2022827evidence →
2023869evidence →
2024959evidence →
2025985evidence →

Compare across counties

The benchmark pages rank every county that reported a figure, and each row links to the underlying fact.

How this is measured

Source: Local Area Unemployment Statistics (LAUS) of the U.S. Bureau of Labor Statistics. County figures are model-based estimates, not a county census: BLS builds them from the Current Population Survey, the state unemployment insurance system and payroll data, then benchmarks them so the counties of a state sum to the state total. A county value is therefore constrained by its state, which matters when a single county diverges from it.

The unemployment rate is unemployed people as a share of the labor force — employed plus unemployed. Someone who has stopped looking for work is in neither group and does not raise the rate. That is why the labor force figure belongs beside the rate and is shown here.

Not seasonally adjusted. BLS publishes seasonally adjusted series for states and large metropolitan areas, not for all counties. Every monthly figure on this page is raw. Two months of the same year are not comparable in most counties; two annual averages are.

Annual figures on this page are the published annual averages (BLS period M13), not an average we computed from the months. Where a year has no annual average on record, no row appears — we do not substitute our own.

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.

Where to go from here

Machine access — free, no API key

Every figure shown here about Unemployment in Skagway Municipality, Alaska 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.