Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, MO
Series ID MHICILBMO29123A052NCEN
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 14506
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17923
1994-01-01 .
1995-01-01 19508
1996-01-01 .
1997-01-01 21314
1998-01-01 22500
1999-01-01 24293
2000-01-01 24927
2001-01-01 24460
2002-01-01 25182
2003-01-01 26406
2004-01-01 27320
2005-01-01 27530
2006-01-01 27690
2007-01-01 28226
2008-01-01 28659
2009-01-01 29092
2010-01-01 30842
2011-01-01 29513
2012-01-01 30471
2013-01-01 30433
2014-01-01 31962
2015-01-01 32188
2016-01-01 32960
2017-01-01 34210
2018-01-01 36113
2019-01-01 39658
2020-01-01 38722
2021-01-01 41411
2022-01-01 41505

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