Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Menifee County, KY
Series ID MHICIUBKY21165A052NCEN
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 1:52 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 16876
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18470
1994-01-01 .
1995-01-01 23041
1996-01-01 .
1997-01-01 24781
1998-01-01 26674
1999-01-01 24503
2000-01-01 25675
2001-01-01 24670
2002-01-01 25370
2003-01-01 26289
2004-01-01 27200
2005-01-01 27076
2006-01-01 34799
2007-01-01 31718
2008-01-01 29813
2009-01-01 29937
2010-01-01 30665
2011-01-01 31384
2012-01-01 31228
2013-01-01 32446
2014-01-01 34038
2015-01-01 37261
2016-01-01 37180
2017-01-01 39768
2018-01-01 37345
2019-01-01 41852
2020-01-01 46638
2021-01-01 43870
2022-01-01 48676

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