Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Juab County, UT
Series ID MHICIUBUT49023A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 28593
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32374
1994-01-01 .
1995-01-01 38008
1996-01-01 .
1997-01-01 38425
1998-01-01 39305
1999-01-01 40062
2000-01-01 42225
2001-01-01 41592
2002-01-01 42773
2003-01-01 42804
2004-01-01 44576
2005-01-01 46096
2006-01-01 51212
2007-01-01 54019
2008-01-01 53779
2009-01-01 54662
2010-01-01 54866
2011-01-01 55915
2012-01-01 56165
2013-01-01 56454
2014-01-01 59689
2015-01-01 60390
2016-01-01 64059
2017-01-01 66479
2018-01-01 71780
2019-01-01 73868
2020-01-01 80435
2021-01-01 85275
2022-01-01 100433
2023-01-01 94980

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