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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, ID
Series ID MHICILBID16065A052NCEN
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 24163
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28998
1994-01-01 .
1995-01-01 31018
1996-01-01 .
1997-01-01 32380
1998-01-01 32709
1999-01-01 30940
2000-01-01 31287
2001-01-01 30043
2002-01-01 29885
2003-01-01 30392
2004-01-01 30530
2005-01-01 31588
2006-01-01 31962
2007-01-01 36200
2008-01-01 38261
2009-01-01 32172
2010-01-01 33108
2011-01-01 30620
2012-01-01 34248
2013-01-01 33558
2014-01-01 32847
2015-01-01 34722
2016-01-01 37709
2017-01-01 36439
2018-01-01 37900
2019-01-01 40891
2020-01-01 47453
2021-01-01 51327
2022-01-01 46947

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