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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, MT
Series ID MHICILBMT30057A052NCEN
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 1:54 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 18548
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23371
1994-01-01 .
1995-01-01 24347
1996-01-01 .
1997-01-01 25856
1998-01-01 26752
1999-01-01 28443
2000-01-01 29276
2001-01-01 28960
2002-01-01 29164
2003-01-01 29967
2004-01-01 32121
2005-01-01 31698
2006-01-01 34325
2007-01-01 37908
2008-01-01 41642
2009-01-01 37379
2010-01-01 38749
2011-01-01 39028
2012-01-01 37622
2013-01-01 40037
2014-01-01 37353
2015-01-01 45626
2016-01-01 46807
2017-01-01 45101
2018-01-01 48581
2019-01-01 50255
2020-01-01 53534
2021-01-01 56604
2022-01-01 63805

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