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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Livingston County, KY
Series ID MHICIUBKY21139A052NCEN
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 7:05 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 23657
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26866
1994-01-01 .
1995-01-01 31522
1996-01-01 .
1997-01-01 33854
1998-01-01 35532
1999-01-01 34351
2000-01-01 35819
2001-01-01 34786
2002-01-01 35216
2003-01-01 35743
2004-01-01 36706
2005-01-01 44008
2006-01-01 40007
2007-01-01 42608
2008-01-01 42366
2009-01-01 43736
2010-01-01 42175
2011-01-01 42592
2012-01-01 43563
2013-01-01 45054
2014-01-01 47393
2015-01-01 48878
2016-01-01 49865
2017-01-01 49271
2018-01-01 52769
2019-01-01 55827
2020-01-01 59593
2021-01-01 54196
2022-01-01 61326
2023-01-01 64676
2024-01-01 68073

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