Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, KY
Series ID MHICILBKY21151A052NCEN
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 1:12 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 20123
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24355
1994-01-01 .
1995-01-01 26228
1996-01-01 .
1997-01-01 28816
1998-01-01 30706
1999-01-01 31063
2000-01-01 31853
2001-01-01 31270
2002-01-01 31642
2003-01-01 33378
2004-01-01 34433
2005-01-01 34970
2006-01-01 36049
2007-01-01 37191
2008-01-01 39497
2009-01-01 37290
2010-01-01 39852
2011-01-01 37372
2012-01-01 37499
2013-01-01 42020
2014-01-01 40358
2015-01-01 42502
2016-01-01 42189
2017-01-01 48109
2018-01-01 48854
2019-01-01 47426
2020-01-01 49436
2021-01-01 49837
2022-01-01 56543

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