Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Callaway County, MO
Series ID MHICILBMO29027A052NCEN
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 24308
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28072
1994-01-01 .
1995-01-01 29963
1996-01-01 .
1997-01-01 32128
1998-01-01 33607
1999-01-01 35130
2000-01-01 36783
2001-01-01 36179
2002-01-01 36198
2003-01-01 37061
2004-01-01 37867
2005-01-01 42116
2006-01-01 40254
2007-01-01 42453
2008-01-01 45870
2009-01-01 44040
2010-01-01 43705
2011-01-01 42685
2012-01-01 40951
2013-01-01 41885
2014-01-01 45331
2015-01-01 46510
2016-01-01 48620
2017-01-01 48530
2018-01-01 48693
2019-01-01 54273
2020-01-01 55242
2021-01-01 60683
2022-01-01 68152

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