Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morgan County, MO
Series ID MHICILBMO29141A052NCEN
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 15151
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18797
1994-01-01 .
1995-01-01 21459
1996-01-01 .
1997-01-01 22505
1998-01-01 23637
1999-01-01 27179
2000-01-01 28328
2001-01-01 27496
2002-01-01 27597
2003-01-01 29187
2004-01-01 30647
2005-01-01 30762
2006-01-01 31697
2007-01-01 32944
2008-01-01 32482
2009-01-01 31929
2010-01-01 31384
2011-01-01 31842
2012-01-01 31018
2013-01-01 29911
2014-01-01 33271
2015-01-01 35200
2016-01-01 35148
2017-01-01 37616
2018-01-01 42967
2019-01-01 40033
2020-01-01 44890
2021-01-01 44681
2022-01-01 46304

Subscribe to the FRED newsletter


Follow us

Back to Top