Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McCreary County, KY
Series ID MHICIUBKY21147A052NCEN
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 2:02 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 13446
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15486
1994-01-01 .
1995-01-01 19760
1996-01-01 .
1997-01-01 20257
1998-01-01 22218
1999-01-01 20851
2000-01-01 21722
2001-01-01 20729
2002-01-01 20954
2003-01-01 22288
2004-01-01 23343
2005-01-01 24424
2006-01-01 24583
2007-01-01 26115
2008-01-01 24086
2009-01-01 25491
2010-01-01 26985
2011-01-01 27148
2012-01-01 26075
2013-01-01 26792
2014-01-01 26826
2015-01-01 28276
2016-01-01 27850
2017-01-01 30969
2018-01-01 33017
2019-01-01 36525
2020-01-01 36378
2021-01-01 36998
2022-01-01 39348
2023-01-01 40805

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