Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Boone County, KY
Series ID MHICILBKY21015A052NCEN
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 31513
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38454
1994-01-01 .
1995-01-01 43775
1996-01-01 .
1997-01-01 45974
1998-01-01 48328
1999-01-01 49712
2000-01-01 51475
2001-01-01 51009
2002-01-01 51981
2003-01-01 54198
2004-01-01 55204
2005-01-01 53322
2006-01-01 55362
2007-01-01 62955
2008-01-01 62715
2009-01-01 65637
2010-01-01 60433
2011-01-01 60060
2012-01-01 62412
2013-01-01 61958
2014-01-01 62353
2015-01-01 64205
2016-01-01 68546
2017-01-01 74633
2018-01-01 72360
2019-01-01 72291
2020-01-01 76769
2021-01-01 78448
2022-01-01 85796
2023-01-01 83151

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