Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, KY
Series ID MHICILBKY21231A052NCEN
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 3:13 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 11337
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13129
1994-01-01 .
1995-01-01 15998
1996-01-01 .
1997-01-01 16739
1998-01-01 18840
1999-01-01 20404
2000-01-01 20685
2001-01-01 20374
2002-01-01 20834
2003-01-01 22262
2004-01-01 23459
2005-01-01 22245
2006-01-01 23402
2007-01-01 25902
2008-01-01 24614
2009-01-01 24569
2010-01-01 24504
2011-01-01 24853
2012-01-01 25929
2013-01-01 27179
2014-01-01 28401
2015-01-01 27056
2016-01-01 27692
2017-01-01 31575
2018-01-01 30277
2019-01-01 30451
2020-01-01 31614
2021-01-01 34254
2022-01-01 35167
2023-01-01 37883

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