Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hardin County, KY
Series ID MHICIUBKY21093A052NCEN
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 2:31 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 25633
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30816
1994-01-01 .
1995-01-01 34392
1996-01-01 .
1997-01-01 38528
1998-01-01 39960
1999-01-01 39788
2000-01-01 42541
2001-01-01 41942
2002-01-01 42781
2003-01-01 44793
2004-01-01 45755
2005-01-01 45306
2006-01-01 44913
2007-01-01 51221
2008-01-01 51969
2009-01-01 48320
2010-01-01 46717
2011-01-01 50309
2012-01-01 51938
2013-01-01 51139
2014-01-01 53836
2015-01-01 52640
2016-01-01 55163
2017-01-01 57248
2018-01-01 55655
2019-01-01 62446
2020-01-01 62661
2021-01-01 64981
2022-01-01 66050
2023-01-01 71474

Subscribe to the FRED newsletter


Follow us

Back to Top