Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grayson County, KY
Series ID MHICIUBKY21085A052NCEN
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 1:53 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 19726
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22882
1994-01-01 .
1995-01-01 26232
1996-01-01 .
1997-01-01 28110
1998-01-01 29590
1999-01-01 29482
2000-01-01 31258
2001-01-01 30141
2002-01-01 30474
2003-01-01 31219
2004-01-01 32292
2005-01-01 33185
2006-01-01 35458
2007-01-01 36082
2008-01-01 36677
2009-01-01 34760
2010-01-01 35576
2011-01-01 35695
2012-01-01 38083
2013-01-01 35471
2014-01-01 39272
2015-01-01 39672
2016-01-01 42039
2017-01-01 42136
2018-01-01 44679
2019-01-01 48047
2020-01-01 48684
2021-01-01 50434
2022-01-01 57348

Subscribe to the FRED newsletter


Follow us

Back to Top