Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marion County, KY
Series ID MHICIUBKY21155A052NCEN
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 21772
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24900
1994-01-01 .
1995-01-01 27846
1996-01-01 .
1997-01-01 30423
1998-01-01 31457
1999-01-01 31551
2000-01-01 33700
2001-01-01 32833
2002-01-01 33714
2003-01-01 35386
2004-01-01 36087
2005-01-01 38037
2006-01-01 38782
2007-01-01 41123
2008-01-01 41203
2009-01-01 38750
2010-01-01 39554
2011-01-01 39377
2012-01-01 41801
2013-01-01 42857
2014-01-01 43105
2015-01-01 44950
2016-01-01 45542
2017-01-01 50719
2018-01-01 50250
2019-01-01 53673
2020-01-01 60387
2021-01-01 57045
2022-01-01 60059

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