Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, MO
Series ID MHICIUBMO29123A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 19084
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22502
1994-01-01 .
1995-01-01 25685
1996-01-01 .
1997-01-01 27594
1998-01-01 28681
1999-01-01 27758
2000-01-01 29012
2001-01-01 28139
2002-01-01 28988
2003-01-01 30025
2004-01-01 31061
2005-01-01 32629
2006-01-01 32257
2007-01-01 34398
2008-01-01 34520
2009-01-01 34558
2010-01-01 36840
2011-01-01 35955
2012-01-01 36089
2013-01-01 36829
2014-01-01 38764
2015-01-01 39302
2016-01-01 40858
2017-01-01 42202
2018-01-01 44269
2019-01-01 48180
2020-01-01 51282
2021-01-01 51445
2022-01-01 52631
2023-01-01 58321

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