Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clinton County, KY
Series ID MHICILBKY21053A052NCEN
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 2:33 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 8223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 10963
1994-01-01 .
1995-01-01 12993
1996-01-01 .
1997-01-01 13552
1998-01-01 15692
1999-01-01 18956
2000-01-01 19586
2001-01-01 19237
2002-01-01 19866
2003-01-01 21502
2004-01-01 22305
2005-01-01 21122
2006-01-01 20310
2007-01-01 23083
2008-01-01 22682
2009-01-01 23288
2010-01-01 24768
2011-01-01 24691
2012-01-01 24325
2013-01-01 25036
2014-01-01 25335
2015-01-01 26360
2016-01-01 26614
2017-01-01 26912
2018-01-01 28038
2019-01-01 30305
2020-01-01 33002
2021-01-01 32968
2022-01-01 37343
2023-01-01 34856

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