Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marshall County, KY
Series ID MHICILBKY21157A052NCEN
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 21839
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25209
1994-01-01 .
1995-01-01 27966
1996-01-01 .
1997-01-01 30015
1998-01-01 31529
1999-01-01 33149
2000-01-01 34087
2001-01-01 33559
2002-01-01 33729
2003-01-01 34924
2004-01-01 36030
2005-01-01 35348
2006-01-01 37336
2007-01-01 38041
2008-01-01 39799
2009-01-01 38462
2010-01-01 40160
2011-01-01 42634
2012-01-01 40033
2013-01-01 40456
2014-01-01 41679
2015-01-01 46075
2016-01-01 45232
2017-01-01 46070
2018-01-01 46983
2019-01-01 52798
2020-01-01 48188
2021-01-01 51801
2022-01-01 57847

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