Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McCreary County, KY
Series ID MHICILBKY21147A052NCEN
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 8784
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 9576
1994-01-01 .
1995-01-01 13075
1996-01-01 .
1997-01-01 12588
1998-01-01 14992
1999-01-01 18062
2000-01-01 18568
2001-01-01 17908
2002-01-01 18108
2003-01-01 19492
2004-01-01 20401
2005-01-01 20264
2006-01-01 20517
2007-01-01 22471
2008-01-01 20419
2009-01-01 20836
2010-01-01 22397
2011-01-01 22132
2012-01-01 21545
2013-01-01 22020
2014-01-01 21704
2015-01-01 23034
2016-01-01 22324
2017-01-01 25079
2018-01-01 27041
2019-01-01 28877
2020-01-01 26528
2021-01-01 28878
2022-01-01 31538
2023-01-01 31891

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