Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Shelby County, KY
Series ID MHICILBKY21211A052NCEN
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 2:02 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 25030
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31362
1994-01-01 .
1995-01-01 34429
1996-01-01 .
1997-01-01 37068
1998-01-01 39658
1999-01-01 41670
2000-01-01 43454
2001-01-01 43165
2002-01-01 43474
2003-01-01 44217
2004-01-01 44795
2005-01-01 47761
2006-01-01 47599
2007-01-01 48508
2008-01-01 53480
2009-01-01 47428
2010-01-01 47921
2011-01-01 46866
2012-01-01 52032
2013-01-01 52015
2014-01-01 52865
2015-01-01 56812
2016-01-01 56240
2017-01-01 59268
2018-01-01 60296
2019-01-01 64516
2020-01-01 69229
2021-01-01 66321
2022-01-01 76322
2023-01-01 69784

Subscribe to the FRED newsletter


Follow us

Back to Top