Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, KY
Series ID MHICIUBKY21041A052NCEN
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 1:10 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 22064
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26687
1994-01-01 .
1995-01-01 30015
1996-01-01 .
1997-01-01 32617
1998-01-01 33988
1999-01-01 36809
2000-01-01 39712
2001-01-01 38906
2002-01-01 39267
2003-01-01 41385
2004-01-01 43239
2005-01-01 45941
2006-01-01 45000
2007-01-01 46129
2008-01-01 48147
2009-01-01 47286
2010-01-01 46223
2011-01-01 44362
2012-01-01 44325
2013-01-01 44931
2014-01-01 48202
2015-01-01 51107
2016-01-01 52836
2017-01-01 53612
2018-01-01 52827
2019-01-01 57985
2020-01-01 60600
2021-01-01 55709
2022-01-01 66649

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