Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Monroe County, KY
Series ID MHICIUBKY21171A052NCEN
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 17735
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21956
1994-01-01 .
1995-01-01 25398
1996-01-01 .
1997-01-01 26636
1998-01-01 28221
1999-01-01 25193
2000-01-01 25656
2001-01-01 24972
2002-01-01 24843
2003-01-01 25508
2004-01-01 27112
2005-01-01 27798
2006-01-01 28686
2007-01-01 31067
2008-01-01 30007
2009-01-01 29433
2010-01-01 30582
2011-01-01 29789
2012-01-01 31229
2013-01-01 32664
2014-01-01 33246
2015-01-01 34111
2016-01-01 36633
2017-01-01 35814
2018-01-01 39306
2019-01-01 40867
2020-01-01 44180
2021-01-01 45764
2022-01-01 50724

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