Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, KY
Series ID MHICIUBKY21137A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 19026
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22845
1994-01-01 .
1995-01-01 26900
1996-01-01 .
1997-01-01 28502
1998-01-01 30960
1999-01-01 29195
2000-01-01 30716
2001-01-01 29672
2002-01-01 29954
2003-01-01 30937
2004-01-01 31282
2005-01-01 32716
2006-01-01 34042
2007-01-01 35575
2008-01-01 37590
2009-01-01 34013
2010-01-01 35638
2011-01-01 38292
2012-01-01 36888
2013-01-01 38322
2014-01-01 38728
2015-01-01 40774
2016-01-01 39356
2017-01-01 43059
2018-01-01 45949
2019-01-01 47734
2020-01-01 47844
2021-01-01 48613
2022-01-01 54783
2023-01-01 56986

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