Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hickman County, KY
Series ID MHICILBKY21105A052NCEN
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 1:54 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 18181
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21993
1994-01-01 .
1995-01-01 22777
1996-01-01 .
1997-01-01 25452
1998-01-01 27151
1999-01-01 29345
2000-01-01 30521
2001-01-01 30223
2002-01-01 29438
2003-01-01 30586
2004-01-01 33028
2005-01-01 32454
2006-01-01 32491
2007-01-01 33299
2008-01-01 33598
2009-01-01 33224
2010-01-01 35338
2011-01-01 34534
2012-01-01 35500
2013-01-01 35020
2014-01-01 37204
2015-01-01 37959
2016-01-01 35517
2017-01-01 36589
2018-01-01 39519
2019-01-01 47616
2020-01-01 39445
2021-01-01 43173
2022-01-01 47069

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