Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bath County, KY
Series ID MHICILBKY21011A052NCEN
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 13953
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16592
1994-01-01 .
1995-01-01 18051
1996-01-01 .
1997-01-01 20829
1998-01-01 22994
1999-01-01 24585
2000-01-01 25524
2001-01-01 25163
2002-01-01 25527
2003-01-01 26723
2004-01-01 27105
2005-01-01 26207
2006-01-01 27821
2007-01-01 28628
2008-01-01 27834
2009-01-01 27463
2010-01-01 29215
2011-01-01 27160
2012-01-01 29022
2013-01-01 30571
2014-01-01 30979
2015-01-01 31794
2016-01-01 32821
2017-01-01 38629
2018-01-01 41281
2019-01-01 37645
2020-01-01 35729
2021-01-01 38129
2022-01-01 42584
2023-01-01 49430

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