Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Utah

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Utah
Series ID MHICILBUT49000A052NCEN
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 11:51 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 28199
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31327
1994-01-01 .
1995-01-01 33593
1996-01-01 34418
1997-01-01 36925
1998-01-01 39366
1999-01-01 42327
2000-01-01 43931
2001-01-01 44356
2002-01-01 44236
2003-01-01 45087
2004-01-01 45561
2005-01-01 47326
2006-01-01 50830
2007-01-01 54512
2008-01-01 56133
2009-01-01 54441
2010-01-01 54150
2011-01-01 55045
2012-01-01 56367
2013-01-01 58985
2014-01-01 60307
2015-01-01 61825
2016-01-01 65028
2017-01-01 67267
2018-01-01 70662
2019-01-01 74655
2020-01-01 76480
2021-01-01 78242
2022-01-01 86848
2023-01-01 91700
2024-01-01 95252

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