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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, UT
Series ID MHICILBUT49055A052NCEN
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 17242
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21673
1994-01-01 .
1995-01-01 24409
1996-01-01 .
1997-01-01 24949
1998-01-01 25996
1999-01-01 29261
2000-01-01 30795
2001-01-01 30450
2002-01-01 29385
2003-01-01 30464
2004-01-01 32018
2005-01-01 31476
2006-01-01 33440
2007-01-01 47277
2008-01-01 36364
2009-01-01 38215
2010-01-01 38803
2011-01-01 35793
2012-01-01 36290
2013-01-01 35027
2014-01-01 38718
2015-01-01 37293
2016-01-01 38441
2017-01-01 39256
2018-01-01 41938
2019-01-01 44362
2020-01-01 46230
2021-01-01 50813
2022-01-01 56101

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