Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Breckinridge County, KY
Series ID MHICILBKY21027A052NCEN
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 1:54 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 16164
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19209
1994-01-01 .
1995-01-01 20930
1996-01-01 .
1997-01-01 23917
1998-01-01 25766
1999-01-01 27974
2000-01-01 29347
2001-01-01 29319
2002-01-01 29835
2003-01-01 31232
2004-01-01 31567
2005-01-01 29719
2006-01-01 32858
2007-01-01 33074
2008-01-01 35725
2009-01-01 33588
2010-01-01 32473
2011-01-01 34589
2012-01-01 37387
2013-01-01 36836
2014-01-01 37581
2015-01-01 38521
2016-01-01 38669
2017-01-01 39371
2018-01-01 43158
2019-01-01 40923
2020-01-01 43077
2021-01-01 44540
2022-01-01 46442

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