Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, MO
Series ID MHICIUBMO29113A052NCEN
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 3:12 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 29939
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34615
1994-01-01 .
1995-01-01 38877
1996-01-01 .
1997-01-01 41499
1998-01-01 43148
1999-01-01 44468
2000-01-01 47265
2001-01-01 46357
2002-01-01 47694
2003-01-01 50063
2004-01-01 51342
2005-01-01 52736
2006-01-01 53981
2007-01-01 57662
2008-01-01 58212
2009-01-01 53967
2010-01-01 53282
2011-01-01 54855
2012-01-01 57230
2013-01-01 57182
2014-01-01 58846
2015-01-01 58961
2016-01-01 61332
2017-01-01 71185
2018-01-01 68079
2019-01-01 74621
2020-01-01 75757
2021-01-01 78197
2022-01-01 84661
2023-01-01 86093

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