Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Boyd County, KY
Series ID MHICILBKY21019A052NCEN
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 23795
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26031
1994-01-01 .
1995-01-01 27853
1996-01-01 .
1997-01-01 29201
1998-01-01 30595
1999-01-01 30219
2000-01-01 31173
2001-01-01 30838
2002-01-01 31250
2003-01-01 32599
2004-01-01 32912
2005-01-01 32995
2006-01-01 36030
2007-01-01 36765
2008-01-01 35646
2009-01-01 34280
2010-01-01 35608
2011-01-01 35473
2012-01-01 36898
2013-01-01 38713
2014-01-01 37466
2015-01-01 39642
2016-01-01 40249
2017-01-01 36975
2018-01-01 44930
2019-01-01 46272
2020-01-01 49747
2021-01-01 44006
2022-01-01 49775

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