Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Scott County, KY
Series ID MHICIUBKY21209A052NCEN
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 29605
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35362
1994-01-01 .
1995-01-01 41208
1996-01-01 .
1997-01-01 45601
1998-01-01 48081
1999-01-01 49451
2000-01-01 52661
2001-01-01 51547
2002-01-01 52491
2003-01-01 53213
2004-01-01 54064
2005-01-01 53244
2006-01-01 60291
2007-01-01 62812
2008-01-01 63222
2009-01-01 63455
2010-01-01 61104
2011-01-01 62924
2012-01-01 66538
2013-01-01 66263
2014-01-01 66170
2015-01-01 67763
2016-01-01 69554
2017-01-01 72187
2018-01-01 78739
2019-01-01 80503
2020-01-01 78765
2021-01-01 78087
2022-01-01 92594
2023-01-01 87913

Subscribe to the FRED newsletter


Follow us

Back to Top