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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, UT
Series ID MHICIUBUT49055A052NCEN
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 7:01 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 21949
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26256
1994-01-01 .
1995-01-01 30607
1996-01-01 .
1997-01-01 31233
1998-01-01 32625
1999-01-01 33396
2000-01-01 35871
2001-01-01 34980
2002-01-01 33864
2003-01-01 34598
2004-01-01 36379
2005-01-01 37990
2006-01-01 40026
2007-01-01 52357
2008-01-01 44685
2009-01-01 45355
2010-01-01 46109
2011-01-01 43393
2012-01-01 44080
2013-01-01 42863
2014-01-01 46014
2015-01-01 45899
2016-01-01 47719
2017-01-01 48354
2018-01-01 52412
2019-01-01 56748
2020-01-01 63350
2021-01-01 64723
2022-01-01 71309
2023-01-01 68591
2024-01-01 78577

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