Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pike County, KY
Series ID MHICIUBKY21195A052NCEN
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 1:10 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 22599
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24157
1994-01-01 .
1995-01-01 27530
1996-01-01 .
1997-01-01 29157
1998-01-01 30945
1999-01-01 27430
2000-01-01 27931
2001-01-01 27359
2002-01-01 27839
2003-01-01 28444
2004-01-01 29625
2005-01-01 30042
2006-01-01 33068
2007-01-01 34952
2008-01-01 33301
2009-01-01 34570
2010-01-01 32305
2011-01-01 36453
2012-01-01 36317
2013-01-01 37658
2014-01-01 34988
2015-01-01 36936
2016-01-01 35202
2017-01-01 37559
2018-01-01 40141
2019-01-01 40709
2020-01-01 44002
2021-01-01 42129
2022-01-01 45496

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