Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fleming County, KY
Series ID MHICIUBKY21069A052NCEN
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 19313
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22873
1994-01-01 .
1995-01-01 26014
1996-01-01 .
1997-01-01 28321
1998-01-01 29676
1999-01-01 29590
2000-01-01 31520
2001-01-01 30776
2002-01-01 30864
2003-01-01 31803
2004-01-01 32305
2005-01-01 33187
2006-01-01 35351
2007-01-01 37134
2008-01-01 36879
2009-01-01 35523
2010-01-01 35813
2011-01-01 38228
2012-01-01 37463
2013-01-01 38926
2014-01-01 39465
2015-01-01 49336
2016-01-01 42699
2017-01-01 44913
2018-01-01 46914
2019-01-01 49039
2020-01-01 51023
2021-01-01 55584
2022-01-01 56173
2023-01-01 57108

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