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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Scott County, KY
Series ID MHICILBKY21209A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 25141
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30834
1994-01-01 .
1995-01-01 35014
1996-01-01 .
1997-01-01 39312
1998-01-01 41870
1999-01-01 43410
2000-01-01 45366
2001-01-01 44990
2002-01-01 45755
2003-01-01 46933
2004-01-01 47684
2005-01-01 47053
2006-01-01 51380
2007-01-01 52977
2008-01-01 53971
2009-01-01 53736
2010-01-01 52478
2011-01-01 53404
2012-01-01 59588
2013-01-01 57549
2014-01-01 57808
2015-01-01 59787
2016-01-01 60064
2017-01-01 62281
2018-01-01 68261
2019-01-01 68935
2020-01-01 62287
2021-01-01 65835
2022-01-01 79744
2023-01-01 75999
2024-01-01 86511

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