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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nelson County, KY
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 2022-01-01
Last Updated 2023-12-14 1:54 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.
1989-01-01 22144
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27853
1994-01-01 .
1995-01-01 30640
1996-01-01 .
1997-01-01 32143
1998-01-01 33513
1999-01-01 35850
2000-01-01 37672
2001-01-01 37299
2002-01-01 38103
2003-01-01 40126
2004-01-01 40425
2005-01-01 42576
2006-01-01 41529
2007-01-01 43422
2008-01-01 44752
2009-01-01 40463
2010-01-01 39983
2011-01-01 40119
2012-01-01 42481
2013-01-01 46631
2014-01-01 51405
2015-01-01 48031
2016-01-01 52145
2017-01-01 54041
2018-01-01 50466
2019-01-01 60891
2020-01-01 63123
2021-01-01 55787
2022-01-01 62921

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