Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mississippi County, MO
Series ID MHICILBMO29133A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 14604
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17272
1994-01-01 .
1995-01-01 16861
1996-01-01 .
1997-01-01 19843
1998-01-01 20034
1999-01-01 22098
2000-01-01 22741
2001-01-01 21928
2002-01-01 22003
2003-01-01 23708
2004-01-01 24402
2005-01-01 24895
2006-01-01 24384
2007-01-01 24943
2008-01-01 25140
2009-01-01 26179
2010-01-01 27656
2011-01-01 26686
2012-01-01 25874
2013-01-01 28409
2014-01-01 27905
2015-01-01 30099
2016-01-01 29054
2017-01-01 30623
2018-01-01 31225
2019-01-01 32525
2020-01-01 33680
2021-01-01 34395
2022-01-01 37383
2023-01-01 43079

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