Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hopkins County, KY
Series ID MHICIUBKY21107A052NCEN
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 25630
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28569
1994-01-01 .
1995-01-01 30820
1996-01-01 .
1997-01-01 33054
1998-01-01 34396
1999-01-01 32927
2000-01-01 34518
2001-01-01 33975
2002-01-01 34529
2003-01-01 35525
2004-01-01 36554
2005-01-01 38502
2006-01-01 41643
2007-01-01 39032
2008-01-01 42885
2009-01-01 39454
2010-01-01 42148
2011-01-01 42650
2012-01-01 43003
2013-01-01 43462
2014-01-01 45259
2015-01-01 48449
2016-01-01 47571
2017-01-01 48167
2018-01-01 48106
2019-01-01 52554
2020-01-01 53807
2021-01-01 54602
2022-01-01 55714
2023-01-01 60093

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