Harmonized Unemployment: Monthly Levels: Aged 25 and over: Females for Denmark
Seasonally Adjusted
LFHUADFEDKQ647S • Economic Data from Federal Reserve Economic Data (FRED)
Latest Value
51,000.00
Year-over-Year Change
-25.37%
Date Range
1/1/1983 - 7/1/2023
Summary
The Seasonally Adjusted trend measures the fluctuations in economic indicators that are adjusted to account for regular, predictable seasonal patterns.
Analysis & Context
This economic indicator provides valuable insights into current market conditions and economic trends. The data is updated regularly by the Federal Reserve and represents one of the most reliable sources for economic analysis.
Understanding this metric helps economists, policymakers, and investors make informed decisions about economic conditions and future trends. The interactive chart above allows you to explore historical patterns and identify key trends over time.
About This Dataset
Seasonal adjustment is a statistical technique used to remove the impact of seasonal variations from economic time series data, providing a clearer picture of underlying trends.
Methodology
The data is adjusted using regression-based methods to identify and account for seasonal patterns.
Historical Context
Seasonally adjusted data is essential for policymakers and analysts to accurately interpret economic conditions.
Key Facts
- Seasonal adjustment removes predictable calendar-related variations.
- Adjusted data facilitates comparison across time periods.
- Seasonally adjusted figures are essential for monitoring economic health.
FAQs
Q: What does this economic trend measure?
A: The Seasonally Adjusted trend removes the impact of regular, predictable seasonal patterns from economic data, providing a clearer view of underlying trends.
Q: Why is this trend relevant for users or analysts?
A: Seasonally adjusted data is critical for policymakers and analysts to accurately interpret economic conditions and monitor changes over time.
Q: How is this data collected or calculated?
A: The data is adjusted using regression-based statistical techniques to identify and remove seasonal variations.
Q: How is this trend used in economic policy?
A: Seasonally adjusted data is essential for policymakers and institutions to assess the health of the economy and inform policy decisions.
Q: Are there update delays or limitations?
A: The data is subject to regular updates and revisions as additional information becomes available.
Related Trends
Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Total for Denmark
DNKCPIHICAINMEI
Harmonized Index of Consumer Prices: Food for Denmark
CP0110DKM086NEST
Harmonized Index of Consumer Prices: Electricity for Denmark
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Work Started: Construction: Dwellings and Residential Buildings: Total for Denmark
WSCNDW01DKA489S
Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Total for Denmark
CPHPTT01DKM659N
Consumer Price Index: Total Food Excluding Restaurants for Denmark
CPGDFD02DKM657N
Citation
U.S. Federal Reserve, Seasonally Adjusted (LFHUADFEDKQ647S), retrieved from FRED.