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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Nicholas County, KY
Series ID MHICIUBKY21181A052NCEN
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 22140
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23885
1994-01-01 .
1995-01-01 25990
1996-01-01 .
1997-01-01 28413
1998-01-01 29787
1999-01-01 31325
2000-01-01 33081
2001-01-01 32112
2002-01-01 32492
2003-01-01 33259
2004-01-01 35312
2005-01-01 35952
2006-01-01 38882
2007-01-01 39550
2008-01-01 39012
2009-01-01 40351
2010-01-01 39533
2011-01-01 38360
2012-01-01 39735
2013-01-01 40579
2014-01-01 40975
2015-01-01 41059
2016-01-01 43129
2017-01-01 44469
2018-01-01 45898
2019-01-01 42391
2020-01-01 54766
2021-01-01 52172
2022-01-01 57349
2023-01-01 59645
2024-01-01 62759

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