Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Miller County, MO
Series ID MHICIUBMO29131A052NCEN
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 1:11 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 22154
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24938
1994-01-01 .
1995-01-01 28150
1996-01-01 .
1997-01-01 29756
1998-01-01 30748
1999-01-01 31626
2000-01-01 33575
2001-01-01 32462
2002-01-01 32594
2003-01-01 33382
2004-01-01 34835
2005-01-01 37836
2006-01-01 37832
2007-01-01 39436
2008-01-01 39098
2009-01-01 37241
2010-01-01 36932
2011-01-01 39126
2012-01-01 39288
2013-01-01 39595
2014-01-01 40896
2015-01-01 42918
2016-01-01 44525
2017-01-01 46246
2018-01-01 50062
2019-01-01 54141
2020-01-01 58213
2021-01-01 52349
2022-01-01 65989

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