Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lyon County, MN
Series ID MHICIUBMN27083A052NCEN
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 3:11 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 28655
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33460
1994-01-01 .
1995-01-01 37066
1996-01-01 .
1997-01-01 40477
1998-01-01 42151
1999-01-01 41700
2000-01-01 44051
2001-01-01 43356
2002-01-01 43717
2003-01-01 44016
2004-01-01 45652
2005-01-01 45270
2006-01-01 48449
2007-01-01 51349
2008-01-01 50000
2009-01-01 49904
2010-01-01 52645
2011-01-01 53894
2012-01-01 51890
2013-01-01 53884
2014-01-01 57928
2015-01-01 59199
2016-01-01 56718
2017-01-01 59898
2018-01-01 62999
2019-01-01 68777
2020-01-01 69052
2021-01-01 73082
2022-01-01 74403
2023-01-01 76151

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