Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Meade County, KY
Series ID MHICIUBKY21163A052NCEN
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 1:52 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 26580
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31472
1994-01-01 .
1995-01-01 34869
1996-01-01 .
1997-01-01 38030
1998-01-01 39593
1999-01-01 39560
2000-01-01 42886
2001-01-01 42167
2002-01-01 42190
2003-01-01 42837
2004-01-01 44363
2005-01-01 43995
2006-01-01 45150
2007-01-01 49569
2008-01-01 47909
2009-01-01 45366
2010-01-01 50362
2011-01-01 52436
2012-01-01 52062
2013-01-01 49847
2014-01-01 56362
2015-01-01 53086
2016-01-01 56658
2017-01-01 63480
2018-01-01 63373
2019-01-01 59512
2020-01-01 64390
2021-01-01 64719
2022-01-01 76566

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