Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, KY
Series ID MHICILBKY21129A052NCEN
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 1:54 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 10906
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12611
1994-01-01 .
1995-01-01 14391
1996-01-01 .
1997-01-01 15097
1998-01-01 16478
1999-01-01 18165
2000-01-01 18392
2001-01-01 18035
2002-01-01 18470
2003-01-01 19548
2004-01-01 20106
2005-01-01 19067
2006-01-01 19472
2007-01-01 22128
2008-01-01 21368
2009-01-01 21337
2010-01-01 22525
2011-01-01 22237
2012-01-01 22569
2013-01-01 23199
2014-01-01 22908
2015-01-01 23537
2016-01-01 22688
2017-01-01 24974
2018-01-01 25920
2019-01-01 27323
2020-01-01 25850
2021-01-01 25911
2022-01-01 30454

Subscribe to the FRED newsletter


Follow us

Back to Top