Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ballard County, KY
Series ID MHICIUBKY21007A052NCEN
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 1:10 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 23522
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26573
1994-01-01 .
1995-01-01 30066
1996-01-01 .
1997-01-01 33775
1998-01-01 36216
1999-01-01 35049
2000-01-01 36602
2001-01-01 36002
2002-01-01 36520
2003-01-01 37346
2004-01-01 38081
2005-01-01 39962
2006-01-01 41561
2007-01-01 42925
2008-01-01 40004
2009-01-01 43892
2010-01-01 45721
2011-01-01 44725
2012-01-01 45708
2013-01-01 46827
2014-01-01 48564
2015-01-01 48456
2016-01-01 49916
2017-01-01 48357
2018-01-01 52325
2019-01-01 53844
2020-01-01 55292
2021-01-01 59365
2022-01-01 63486

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