Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lewis County, KY
Series ID MHICILBKY21135A052NCEN
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 13019
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15603
1994-01-01 .
1995-01-01 17697
1996-01-01 .
1997-01-01 19070
1998-01-01 20599
1999-01-01 21750
2000-01-01 21779
2001-01-01 21388
2002-01-01 21699
2003-01-01 22672
2004-01-01 23362
2005-01-01 22191
2006-01-01 23859
2007-01-01 24000
2008-01-01 25921
2009-01-01 25432
2010-01-01 26642
2011-01-01 25910
2012-01-01 26177
2013-01-01 27885
2014-01-01 27018
2015-01-01 30531
2016-01-01 29309
2017-01-01 31270
2018-01-01 31804
2019-01-01 33045
2020-01-01 33240
2021-01-01 36159
2022-01-01 38746
2023-01-01 41780

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