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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Uinta County, WY
Series ID MHICIUBWY56041A052NCEN
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 1:51 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 38893
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41387
1994-01-01 .
1995-01-01 45368
1996-01-01 .
1997-01-01 46850
1998-01-01 46897
1999-01-01 46649
2000-01-01 49043
2001-01-01 49436
2002-01-01 51187
2003-01-01 51757
2004-01-01 53353
2005-01-01 51737
2006-01-01 57641
2007-01-01 63127
2008-01-01 68291
2009-01-01 70260
2010-01-01 66288
2011-01-01 66602
2012-01-01 66765
2013-01-01 66728
2014-01-01 62092
2015-01-01 68911
2016-01-01 71511
2017-01-01 73883
2018-01-01 69990
2019-01-01 78321
2020-01-01 80631
2021-01-01 78118
2022-01-01 81128

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