Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marshall County, KY
Series ID MHICIUBKY21157A052NCEN
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 26350
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29710
1994-01-01 .
1995-01-01 33993
1996-01-01 .
1997-01-01 36090
1998-01-01 37548
1999-01-01 37673
2000-01-01 39458
2001-01-01 38400
2002-01-01 38624
2003-01-01 39530
2004-01-01 40814
2005-01-01 41524
2006-01-01 44148
2007-01-01 44952
2008-01-01 47752
2009-01-01 45321
2010-01-01 47490
2011-01-01 47692
2012-01-01 47133
2013-01-01 47858
2014-01-01 49513
2015-01-01 53467
2016-01-01 55098
2017-01-01 55502
2018-01-01 57793
2019-01-01 63092
2020-01-01 64384
2021-01-01 63803
2022-01-01 70943
2023-01-01 67708

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