Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Owen County, KY
Series ID MHICILBKY21187A052NCEN
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 18247
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22953
1994-01-01 .
1995-01-01 24761
1996-01-01 .
1997-01-01 26849
1998-01-01 28425
1999-01-01 30170
2000-01-01 31286
2001-01-01 30449
2002-01-01 30468
2003-01-01 31683
2004-01-01 33001
2005-01-01 34092
2006-01-01 38622
2007-01-01 37164
2008-01-01 37565
2009-01-01 35008
2010-01-01 36626
2011-01-01 36828
2012-01-01 36369
2013-01-01 38028
2014-01-01 39410
2015-01-01 39142
2016-01-01 41408
2017-01-01 43170
2018-01-01 43683
2019-01-01 45300
2020-01-01 41536
2021-01-01 48879
2022-01-01 53625
2023-01-01 57803

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