Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Christian County, KY
Series ID MHICILBKY21047A052NCEN
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 16781
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21309
1994-01-01 .
1995-01-01 22353
1996-01-01 .
1997-01-01 24832
1998-01-01 25999
1999-01-01 27770
2000-01-01 29397
2001-01-01 29367
2002-01-01 29840
2003-01-01 29011
2004-01-01 31266
2005-01-01 31350
2006-01-01 33973
2007-01-01 35442
2008-01-01 34863
2009-01-01 33638
2010-01-01 34729
2011-01-01 32870
2012-01-01 34636
2013-01-01 38274
2014-01-01 34427
2015-01-01 37850
2016-01-01 37955
2017-01-01 40256
2018-01-01 37266
2019-01-01 42310
2020-01-01 41293
2021-01-01 43584
2022-01-01 52274

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