Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Emery County, UT
Series ID MHICIUBUT49015A052NCEN
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 37406
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37718
1994-01-01 .
1995-01-01 41506
1996-01-01 .
1997-01-01 42925
1998-01-01 43168
1999-01-01 42154
2000-01-01 44290
2001-01-01 43387
2002-01-01 43717
2003-01-01 43974
2004-01-01 45879
2005-01-01 45547
2006-01-01 49242
2007-01-01 52628
2008-01-01 53166
2009-01-01 56034
2010-01-01 55134
2011-01-01 51696
2012-01-01 55970
2013-01-01 56770
2014-01-01 53018
2015-01-01 59120
2016-01-01 59774
2017-01-01 57392
2018-01-01 59124
2019-01-01 68017
2020-01-01 72878
2021-01-01 67912
2022-01-01 72536
2023-01-01 75848

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