Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Taylor County, KY
Series ID MHICILBKY21217A052NCEN
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 2:33 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 20241
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22922
1994-01-01 .
1995-01-01 24116
1996-01-01 .
1997-01-01 25449
1998-01-01 24067
1999-01-01 25639
2000-01-01 26624
2001-01-01 26392
2002-01-01 27049
2003-01-01 28546
2004-01-01 29680
2005-01-01 29810
2006-01-01 30642
2007-01-01 31687
2008-01-01 33135
2009-01-01 30361
2010-01-01 33412
2011-01-01 30952
2012-01-01 32046
2013-01-01 33286
2014-01-01 31156
2015-01-01 32170
2016-01-01 33931
2017-01-01 37935
2018-01-01 43342
2019-01-01 44170
2020-01-01 41794
2021-01-01 45391
2022-01-01 46713
2023-01-01 46825

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