Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lee County, KY
Series ID MHICIUBKY21129A052NCEN
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 3:12 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 15499
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17257
1994-01-01 .
1995-01-01 20695
1996-01-01 .
1997-01-01 21538
1998-01-01 22840
1999-01-01 21099
2000-01-01 21694
2001-01-01 21061
2002-01-01 21575
2003-01-01 22504
2004-01-01 23158
2005-01-01 22980
2006-01-01 23074
2007-01-01 27106
2008-01-01 26204
2009-01-01 26244
2010-01-01 27291
2011-01-01 27303
2012-01-01 27471
2013-01-01 28335
2014-01-01 28038
2015-01-01 28865
2016-01-01 28056
2017-01-01 31194
2018-01-01 32328
2019-01-01 34487
2020-01-01 35300
2021-01-01 32375
2022-01-01 38810
2023-01-01 42727

Subscribe to the FRED newsletter


Follow us

Back to Top