Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake of the Woods County, MN
Series ID MHICILBMN27077A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 20298
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26218
1994-01-01 .
1995-01-01 27879
1996-01-01 .
1997-01-01 29187
1998-01-01 30532
1999-01-01 30181
2000-01-01 32074
2001-01-01 30882
2002-01-01 31248
2003-01-01 33334
2004-01-01 35030
2005-01-01 34033
2006-01-01 36222
2007-01-01 36503
2008-01-01 36519
2009-01-01 36155
2010-01-01 35900
2011-01-01 35688
2012-01-01 38012
2013-01-01 38702
2014-01-01 40200
2015-01-01 41581
2016-01-01 43091
2017-01-01 44448
2018-01-01 46582
2019-01-01 49537
2020-01-01 48772
2021-01-01 54910
2022-01-01 54419

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