Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caldwell County, KY
Series ID MHICIUBKY21033A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 22143
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24670
1994-01-01 .
1995-01-01 27982
1996-01-01 .
1997-01-01 30798
1998-01-01 32351
1999-01-01 31352
2000-01-01 32727
2001-01-01 32047
2002-01-01 32233
2003-01-01 33468
2004-01-01 34268
2005-01-01 35619
2006-01-01 37542
2007-01-01 40691
2008-01-01 38768
2009-01-01 38851
2010-01-01 39581
2011-01-01 40223
2012-01-01 39635
2013-01-01 41022
2014-01-01 46072
2015-01-01 43317
2016-01-01 44688
2017-01-01 47122
2018-01-01 47046
2019-01-01 49490
2020-01-01 54613
2021-01-01 51781
2022-01-01 57315
2023-01-01 59086

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