Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fulton County, KY
Series ID MHICIUBKY21075A052NCEN
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 12:51 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 19112
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21654
1994-01-01 .
1995-01-01 25085
1996-01-01 .
1997-01-01 26835
1998-01-01 28464
1999-01-01 26553
2000-01-01 27834
2001-01-01 27128
2002-01-01 27416
2003-01-01 28488
2004-01-01 28429
2005-01-01 28203
2006-01-01 30294
2007-01-01 31610
2008-01-01 30593
2009-01-01 30168
2010-01-01 33107
2011-01-01 31232
2012-01-01 31573
2013-01-01 31248
2014-01-01 33943
2015-01-01 33767
2016-01-01 33915
2017-01-01 34200
2018-01-01 35876
2019-01-01 38287
2020-01-01 41425
2021-01-01 39470
2022-01-01 45042

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