Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tooele County, UT
Series ID MHICIUBUT49045A052NCEN
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 2:30 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 35430
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39432
1994-01-01 .
1995-01-01 41603
1996-01-01 .
1997-01-01 45433
1998-01-01 48825
1999-01-01 48874
2000-01-01 52356
2001-01-01 51697
2002-01-01 53153
2003-01-01 54650
2004-01-01 56194
2005-01-01 56018
2006-01-01 57825
2007-01-01 66683
2008-01-01 66999
2009-01-01 59445
2010-01-01 64765
2011-01-01 67051
2012-01-01 63789
2013-01-01 63449
2014-01-01 69702
2015-01-01 71995
2016-01-01 68715
2017-01-01 78141
2018-01-01 79161
2019-01-01 86428
2020-01-01 88079
2021-01-01 97488
2022-01-01 100007
2023-01-01 99479

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