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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, MO
Series ID MHICILBMO29099A052NCEN
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 12:51 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 30492
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35001
1994-01-01 .
1995-01-01 37997
1996-01-01 .
1997-01-01 40179
1998-01-01 41958
1999-01-01 42585
2000-01-01 44424
2001-01-01 44600
2002-01-01 45456
2003-01-01 46953
2004-01-01 48109
2005-01-01 48669
2006-01-01 50712
2007-01-01 54064
2008-01-01 55482
2009-01-01 51178
2010-01-01 51047
2011-01-01 49160
2012-01-01 50862
2013-01-01 52573
2014-01-01 56398
2015-01-01 56074
2016-01-01 59468
2017-01-01 59340
2018-01-01 62512
2019-01-01 64756
2020-01-01 60809
2021-01-01 64470
2022-01-01 74662

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