Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Boyle County, KY
Series ID MHICILBKY21021A052NCEN
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 1:12 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 21877
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25343
1994-01-01 .
1995-01-01 27688
1996-01-01 .
1997-01-01 30393
1998-01-01 32610
1999-01-01 32955
2000-01-01 33953
2001-01-01 33417
2002-01-01 33880
2003-01-01 34519
2004-01-01 34234
2005-01-01 33280
2006-01-01 36224
2007-01-01 38598
2008-01-01 37818
2009-01-01 36062
2010-01-01 35976
2011-01-01 36095
2012-01-01 39169
2013-01-01 40419
2014-01-01 37818
2015-01-01 36635
2016-01-01 40533
2017-01-01 44116
2018-01-01 43368
2019-01-01 48091
2020-01-01 45727
2021-01-01 47483
2022-01-01 51845

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