Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tooele County, UT
Series ID MHICILBUT49045A052NCEN
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 1:11 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 30921
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34767
1994-01-01 .
1995-01-01 35406
1996-01-01 .
1997-01-01 39103
1998-01-01 42423
1999-01-01 42912
2000-01-01 44806
2001-01-01 45010
2002-01-01 46237
2003-01-01 48091
2004-01-01 49457
2005-01-01 49857
2006-01-01 50501
2007-01-01 60581
2008-01-01 56735
2009-01-01 52660
2010-01-01 56317
2011-01-01 56387
2012-01-01 60065
2013-01-01 55351
2014-01-01 58684
2015-01-01 63881
2016-01-01 60635
2017-01-01 66255
2018-01-01 68007
2019-01-01 73964
2020-01-01 70123
2021-01-01 83694
2022-01-01 82699

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