Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake County, MN
Series ID MHICILBMN27075A052NCEN
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 3:13 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 20213
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26355
1994-01-01 .
1995-01-01 29525
1996-01-01 .
1997-01-01 32402
1998-01-01 34189
1999-01-01 36463
2000-01-01 38075
2001-01-01 37345
2002-01-01 39016
2003-01-01 41008
2004-01-01 42562
2005-01-01 39790
2006-01-01 41261
2007-01-01 42657
2008-01-01 44965
2009-01-01 44774
2010-01-01 43157
2011-01-01 44445
2012-01-01 45078
2013-01-01 45914
2014-01-01 47557
2015-01-01 48541
2016-01-01 58120
2017-01-01 50468
2018-01-01 55359
2019-01-01 54882
2020-01-01 57075
2021-01-01 61600
2022-01-01 68319
2023-01-01 63634

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