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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Green County, KY
Series ID MHICIUBKY21087A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:05 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 19760
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23025
1994-01-01 .
1995-01-01 25910
1996-01-01 .
1997-01-01 27580
1998-01-01 27502
1999-01-01 26544
2000-01-01 28329
2001-01-01 27791
2002-01-01 28112
2003-01-01 29175
2004-01-01 29655
2005-01-01 30577
2006-01-01 33752
2007-01-01 34646
2008-01-01 35802
2009-01-01 34389
2010-01-01 34085
2011-01-01 34386
2012-01-01 35160
2013-01-01 35507
2014-01-01 37207
2015-01-01 39251
2016-01-01 39906
2017-01-01 40607
2018-01-01 40188
2019-01-01 43201
2020-01-01 47830
2021-01-01 47813
2022-01-01 52015
2023-01-01 53906
2024-01-01 58566

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