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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Uintah County, UT
Series ID MHICILBUT49047A052NCEN
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 1:53 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 23003
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27350
1994-01-01 .
1995-01-01 29139
1996-01-01 .
1997-01-01 29769
1998-01-01 30763
1999-01-01 31574
2000-01-01 33811
2001-01-01 33902
2002-01-01 34557
2003-01-01 36806
2004-01-01 40162
2005-01-01 39053
2006-01-01 44171
2007-01-01 51289
2008-01-01 53680
2009-01-01 53145
2010-01-01 49950
2011-01-01 54948
2012-01-01 56016
2013-01-01 57268
2014-01-01 60300
2015-01-01 62560
2016-01-01 60414
2017-01-01 52040
2018-01-01 59833
2019-01-01 55422
2020-01-01 54980
2021-01-01 57240
2022-01-01 62943

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