Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lyon County, MN

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lyon County, MN
Series ID MHICILBMN27083A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:33 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 24103
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28882
1994-01-01 .
1995-01-01 30861
1996-01-01 .
1997-01-01 34240
1998-01-01 35881
1999-01-01 36655
2000-01-01 37951
2001-01-01 37788
2002-01-01 38075
2003-01-01 38716
2004-01-01 40182
2005-01-01 38979
2006-01-01 41596
2007-01-01 43139
2008-01-01 41968
2009-01-01 43663
2010-01-01 45791
2011-01-01 46168
2012-01-01 45616
2013-01-01 48138
2014-01-01 49176
2015-01-01 50903
2016-01-01 49260
2017-01-01 50612
2018-01-01 52381
2019-01-01 58921
2020-01-01 57458
2021-01-01 60302
2022-01-01 67513
2023-01-01 62171

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