Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, MO
Series ID MHICILBMO29113A052NCEN
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 25410
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30101
1994-01-01 .
1995-01-01 32799
1996-01-01 .
1997-01-01 35381
1998-01-01 37103
1999-01-01 39001
2000-01-01 40690
2001-01-01 40410
2002-01-01 41560
2003-01-01 44065
2004-01-01 45216
2005-01-01 45818
2006-01-01 46869
2007-01-01 52215
2008-01-01 51268
2009-01-01 47623
2010-01-01 47332
2011-01-01 46191
2012-01-01 49854
2013-01-01 51106
2014-01-01 48762
2015-01-01 50207
2016-01-01 52334
2017-01-01 64787
2018-01-01 56397
2019-01-01 63735
2020-01-01 64351
2021-01-01 74167
2022-01-01 71165
2023-01-01 73815

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