Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Trimble County, KY
Series ID MHICILBKY21223A052NCEN
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 3:13 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 20105
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23242
1994-01-01 .
1995-01-01 25962
1996-01-01 .
1997-01-01 27845
1998-01-01 29474
1999-01-01 32354
2000-01-01 33870
2001-01-01 33480
2002-01-01 34751
2003-01-01 36403
2004-01-01 37653
2005-01-01 38132
2006-01-01 39250
2007-01-01 39664
2008-01-01 40955
2009-01-01 41361
2010-01-01 40377
2011-01-01 39214
2012-01-01 39697
2013-01-01 41266
2014-01-01 41732
2015-01-01 43695
2016-01-01 46235
2017-01-01 48897
2018-01-01 45825
2019-01-01 53600
2020-01-01 58222
2021-01-01 55543
2022-01-01 57853
2023-01-01 57909

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