Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Christian County, KY
Series ID MHICIUBKY21047A052NCEN
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 21479
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25935
1994-01-01 .
1995-01-01 28530
1996-01-01 .
1997-01-01 31088
1998-01-01 32193
1999-01-01 31904
2000-01-01 34377
2001-01-01 33997
2002-01-01 34510
2003-01-01 33356
2004-01-01 35755
2005-01-01 36432
2006-01-01 38484
2007-01-01 39822
2008-01-01 40687
2009-01-01 37931
2010-01-01 38355
2011-01-01 38688
2012-01-01 40442
2013-01-01 44392
2014-01-01 39045
2015-01-01 41830
2016-01-01 44207
2017-01-01 45992
2018-01-01 43332
2019-01-01 50470
2020-01-01 52607
2021-01-01 53248
2022-01-01 60946

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