Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Campbell County, KY
Series ID MHICILBKY21037A052NCEN
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 1:12 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 25166
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30589
1994-01-01 .
1995-01-01 33203
1996-01-01 .
1997-01-01 36151
1998-01-01 37899
1999-01-01 38464
2000-01-01 40002
2001-01-01 39850
2002-01-01 40297
2003-01-01 41172
2004-01-01 41971
2005-01-01 44332
2006-01-01 43927
2007-01-01 48742
2008-01-01 47229
2009-01-01 46398
2010-01-01 44094
2011-01-01 51391
2012-01-01 51854
2013-01-01 50989
2014-01-01 48664
2015-01-01 49838
2016-01-01 58333
2017-01-01 57641
2018-01-01 56626
2019-01-01 61286
2020-01-01 57414
2021-01-01 65473
2022-01-01 67735

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