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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grand County, UT
Series ID MHICIUBUT49019A052NCEN
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 22250
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27606
1994-01-01 .
1995-01-01 31870
1996-01-01 .
1997-01-01 32016
1998-01-01 33049
1999-01-01 33230
2000-01-01 35157
2001-01-01 33954
2002-01-01 33494
2003-01-01 33815
2004-01-01 35533
2005-01-01 38149
2006-01-01 40108
2007-01-01 43151
2008-01-01 42083
2009-01-01 43096
2010-01-01 43249
2011-01-01 45617
2012-01-01 46350
2013-01-01 46453
2014-01-01 47468
2015-01-01 48906
2016-01-01 59040
2017-01-01 54196
2018-01-01 55973
2019-01-01 59141
2020-01-01 68036
2021-01-01 55478
2022-01-01 75550

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