Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Laurel County, KY
Series ID MHICIUBKY21125A052NCEN
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 22372
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25400
1994-01-01 .
1995-01-01 28785
1996-01-01 .
1997-01-01 30129
1998-01-01 31470
1999-01-01 29799
2000-01-01 31257
2001-01-01 30428
2002-01-01 30787
2003-01-01 31481
2004-01-01 32201
2005-01-01 33833
2006-01-01 35024
2007-01-01 35759
2008-01-01 37463
2009-01-01 39259
2010-01-01 37596
2011-01-01 37675
2012-01-01 37768
2013-01-01 37281
2014-01-01 37612
2015-01-01 40439
2016-01-01 42285
2017-01-01 43121
2018-01-01 44992
2019-01-01 48541
2020-01-01 55633
2021-01-01 52965
2022-01-01 56091
2023-01-01 58259

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