Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bullitt County, KY
Series ID MHICIUBKY21029A052NCEN
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 3:12 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 30788
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36448
1994-01-01 .
1995-01-01 42609
1996-01-01 .
1997-01-01 44201
1998-01-01 45395
1999-01-01 47359
2000-01-01 50485
2001-01-01 49573
2002-01-01 50201
2003-01-01 51275
2004-01-01 52197
2005-01-01 52333
2006-01-01 55539
2007-01-01 53222
2008-01-01 56619
2009-01-01 51242
2010-01-01 54862
2011-01-01 56189
2012-01-01 59536
2013-01-01 61249
2014-01-01 58186
2015-01-01 58076
2016-01-01 67638
2017-01-01 65987
2018-01-01 65767
2019-01-01 70582
2020-01-01 78863
2021-01-01 71006
2022-01-01 82338
2023-01-01 80313

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