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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nicholas County, KY
Series ID MHICILBKY21181A052NCEN
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 17627
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19361
1994-01-01 .
1995-01-01 19787
1996-01-01 .
1997-01-01 22193
1998-01-01 23602
1999-01-01 27508
2000-01-01 28482
2001-01-01 28008
2002-01-01 28318
2003-01-01 29331
2004-01-01 31106
2005-01-01 29875
2006-01-01 32534
2007-01-01 32609
2008-01-01 31979
2009-01-01 33470
2010-01-01 33079
2011-01-01 31412
2012-01-01 33293
2013-01-01 33433
2014-01-01 33147
2015-01-01 33475
2016-01-01 34787
2017-01-01 36059
2018-01-01 36958
2019-01-01 33777
2020-01-01 41814
2021-01-01 40922
2022-01-01 44851
2023-01-01 46311
2024-01-01 50199

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