Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Henry County, MO
Series ID MHICILBMO29083A052NCEN
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 17128
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19695
1994-01-01 .
1995-01-01 21609
1996-01-01 .
1997-01-01 23914
1998-01-01 25297
1999-01-01 28451
2000-01-01 29556
2001-01-01 29221
2002-01-01 29783
2003-01-01 30845
2004-01-01 31859
2005-01-01 31668
2006-01-01 32231
2007-01-01 31768
2008-01-01 32929
2009-01-01 33048
2010-01-01 33915
2011-01-01 34638
2012-01-01 38293
2013-01-01 36630
2014-01-01 35888
2015-01-01 38569
2016-01-01 38281
2017-01-01 39497
2018-01-01 40301
2019-01-01 42525
2020-01-01 47086
2021-01-01 44572
2022-01-01 50227

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