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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Box Elder County, UT
Series ID MHICILBUT49003A052NCEN
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 33125
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36737
1994-01-01 .
1995-01-01 38474
1996-01-01 .
1997-01-01 41460
1998-01-01 42314
1999-01-01 41789
2000-01-01 43150
2001-01-01 42975
2002-01-01 43494
2003-01-01 44425
2004-01-01 45277
2005-01-01 46836
2006-01-01 47050
2007-01-01 49173
2008-01-01 50909
2009-01-01 49639
2010-01-01 51777
2011-01-01 47902
2012-01-01 50700
2013-01-01 57557
2014-01-01 51907
2015-01-01 53826
2016-01-01 53673
2017-01-01 60296
2018-01-01 59611
2019-01-01 64440
2020-01-01 66047
2021-01-01 63905
2022-01-01 72266

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