Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Metcalfe County, KY
Series ID MHICIUBKY21169A052NCEN
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 16321
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20348
1994-01-01 .
1995-01-01 24222
1996-01-01 .
1997-01-01 25511
1998-01-01 27106
1999-01-01 25465
2000-01-01 26508
2001-01-01 25677
2002-01-01 26040
2003-01-01 27160
2004-01-01 28302
2005-01-01 29013
2006-01-01 30299
2007-01-01 33256
2008-01-01 34880
2009-01-01 32247
2010-01-01 30937
2011-01-01 32109
2012-01-01 32336
2013-01-01 33690
2014-01-01 33558
2015-01-01 35721
2016-01-01 37075
2017-01-01 36813
2018-01-01 39866
2019-01-01 43246
2020-01-01 45848
2021-01-01 47060
2022-01-01 49979

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