Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lake County, MN
Series ID MHICIUBMN27075A052NCEN
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 25192
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31010
1994-01-01 .
1995-01-01 35754
1996-01-01 .
1997-01-01 38777
1998-01-01 40525
1999-01-01 41653
2000-01-01 44259
2001-01-01 43103
2002-01-01 44990
2003-01-01 46687
2004-01-01 48426
2005-01-01 46709
2006-01-01 48761
2007-01-01 50355
2008-01-01 54431
2009-01-01 52622
2010-01-01 51841
2011-01-01 52921
2012-01-01 53660
2013-01-01 55836
2014-01-01 57205
2015-01-01 57645
2016-01-01 67372
2017-01-01 60776
2018-01-01 66671
2019-01-01 67282
2020-01-01 70407
2021-01-01 75850
2022-01-01 79129
2023-01-01 79512

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