Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Atchison County, MO
Series ID MHICILBMO29005A052NCEN
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 1:12 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 17629
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21761
1994-01-01 .
1995-01-01 23698
1996-01-01 .
1997-01-01 27917
1998-01-01 29071
1999-01-01 29313
2000-01-01 30181
2001-01-01 29809
2002-01-01 28891
2003-01-01 31048
2004-01-01 32679
2005-01-01 33182
2006-01-01 32670
2007-01-01 34614
2008-01-01 36967
2009-01-01 36937
2010-01-01 39932
2011-01-01 39606
2012-01-01 41116
2013-01-01 39055
2014-01-01 41823
2015-01-01 41755
2016-01-01 41332
2017-01-01 45962
2018-01-01 44242
2019-01-01 45949
2020-01-01 46601
2021-01-01 48096
2022-01-01 51762

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