Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clay County, KY
Series ID MHICILBKY21051A052NCEN
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 11655
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12947
1994-01-01 .
1995-01-01 15615
1996-01-01 .
1997-01-01 15943
1998-01-01 17335
1999-01-01 16730
2000-01-01 16734
2001-01-01 16261
2002-01-01 16387
2003-01-01 17456
2004-01-01 18091
2005-01-01 17887
2006-01-01 18521
2007-01-01 19004
2008-01-01 20228
2009-01-01 19943
2010-01-01 21763
2011-01-01 20269
2012-01-01 20679
2013-01-01 22044
2014-01-01 22832
2015-01-01 21632
2016-01-01 22224
2017-01-01 23487
2018-01-01 25346
2019-01-01 26689
2020-01-01 23184
2021-01-01 27331
2022-01-01 30446

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