Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adair County, MO
Series ID MHICILBMO29001A052NCEN
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 18764
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21408
1994-01-01 .
1995-01-01 22590
1996-01-01 .
1997-01-01 25050
1998-01-01 27137
1999-01-01 26266
2000-01-01 26484
2001-01-01 25998
2002-01-01 26122
2003-01-01 26802
2004-01-01 26772
2005-01-01 27785
2006-01-01 27723
2007-01-01 28825
2008-01-01 30409
2009-01-01 28720
2010-01-01 30098
2011-01-01 30379
2012-01-01 30127
2013-01-01 32120
2014-01-01 32020
2015-01-01 37355
2016-01-01 33698
2017-01-01 34673
2018-01-01 36320
2019-01-01 39067
2020-01-01 43945
2021-01-01 42840
2022-01-01 41232

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