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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clare County, MI
Series ID MHICILBMI26035A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 15309
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17658
1994-01-01 .
1995-01-01 20551
1996-01-01 .
1997-01-01 22086
1998-01-01 23657
1999-01-01 26486
2000-01-01 27624
2001-01-01 27034
2002-01-01 27204
2003-01-01 28248
2004-01-01 29360
2005-01-01 31640
2006-01-01 29662
2007-01-01 31507
2008-01-01 32462
2009-01-01 29853
2010-01-01 29303
2011-01-01 29390
2012-01-01 30276
2013-01-01 30854
2014-01-01 32248
2015-01-01 30727
2016-01-01 34484
2017-01-01 33615
2018-01-01 36243
2019-01-01 39887
2020-01-01 37894
2021-01-01 43053
2022-01-01 43858
2023-01-01 44029
2024-01-01 43733

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