Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Trimble County, KY
Series ID MHICIUBKY21223A052NCEN
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 1:52 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 24552
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27795
1994-01-01 .
1995-01-01 32098
1996-01-01 .
1997-01-01 34033
1998-01-01 35782
1999-01-01 36886
2000-01-01 39353
2001-01-01 38916
2002-01-01 40204
2003-01-01 41463
2004-01-01 42876
2005-01-01 44910
2006-01-01 47302
2007-01-01 48324
2008-01-01 49689
2009-01-01 50173
2010-01-01 48689
2011-01-01 48140
2012-01-01 48109
2013-01-01 49522
2014-01-01 51684
2015-01-01 53089
2016-01-01 57419
2017-01-01 57151
2018-01-01 57523
2019-01-01 64396
2020-01-01 71720
2021-01-01 70261
2022-01-01 73803

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