Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lake County, MI
Series ID MHICIUBMI26085A052NCEN
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 2:31 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 16503
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18979
1994-01-01 .
1995-01-01 24212
1996-01-01 .
1997-01-01 25467
1998-01-01 26532
1999-01-01 27737
2000-01-01 29227
2001-01-01 28134
2002-01-01 28083
2003-01-01 29333
2004-01-01 29723
2005-01-01 29203
2006-01-01 32080
2007-01-01 33836
2008-01-01 34017
2009-01-01 31472
2010-01-01 31088
2011-01-01 31016
2012-01-01 33562
2013-01-01 33455
2014-01-01 33716
2015-01-01 35600
2016-01-01 36635
2017-01-01 38218
2018-01-01 39003
2019-01-01 42002
2020-01-01 43209
2021-01-01 44225
2022-01-01 52422
2023-01-01 53187

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