Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Monroe County, KY
Series ID MHICILBKY21171A052NCEN
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 13167
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17223
1994-01-01 .
1995-01-01 19194
1996-01-01 .
1997-01-01 20041
1998-01-01 21729
1999-01-01 21956
2000-01-01 21991
2001-01-01 21642
2002-01-01 21539
2003-01-01 22376
2004-01-01 23799
2005-01-01 23050
2006-01-01 23826
2007-01-01 25464
2008-01-01 24813
2009-01-01 23867
2010-01-01 25566
2011-01-01 25171
2012-01-01 25803
2013-01-01 27136
2014-01-01 27098
2015-01-01 29095
2016-01-01 30217
2017-01-01 29222
2018-01-01 31886
2019-01-01 32157
2020-01-01 32718
2021-01-01 37512
2022-01-01 41020
2023-01-01 38992

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