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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake County, MI
Series ID MHICILBMI26085A052NCEN
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 1:11 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 11843
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14343
1994-01-01 .
1995-01-01 17847
1996-01-01 .
1997-01-01 19097
1998-01-01 20209
1999-01-01 24131
2000-01-01 25073
2001-01-01 24452
2002-01-01 24392
2003-01-01 25784
2004-01-01 26129
2005-01-01 25113
2006-01-01 27196
2007-01-01 28553
2008-01-01 29299
2009-01-01 27275
2010-01-01 25964
2011-01-01 26926
2012-01-01 28232
2013-01-01 27857
2014-01-01 28264
2015-01-01 30342
2016-01-01 30781
2017-01-01 31792
2018-01-01 33085
2019-01-01 34086
2020-01-01 36733
2021-01-01 36539
2022-01-01 44668

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