Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gallatin County, KY
Series ID MHICIUBKY21077A052NCEN
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 23597
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27620
1994-01-01 .
1995-01-01 31728
1996-01-01 .
1997-01-01 33071
1998-01-01 34219
1999-01-01 36221
2000-01-01 38740
2001-01-01 37493
2002-01-01 36901
2003-01-01 37449
2004-01-01 37552
2005-01-01 41626
2006-01-01 41453
2007-01-01 46440
2008-01-01 46917
2009-01-01 44798
2010-01-01 46521
2011-01-01 45075
2012-01-01 47159
2013-01-01 48300
2014-01-01 49562
2015-01-01 51499
2016-01-01 54260
2017-01-01 53014
2018-01-01 54251
2019-01-01 61185
2020-01-01 63751
2021-01-01 64082
2022-01-01 66303

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