Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Juab County, UT
Series ID MHICILBUT49023A052NCEN
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 2:32 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 23917
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27733
1994-01-01 .
1995-01-01 31655
1996-01-01 .
1997-01-01 32061
1998-01-01 32936
1999-01-01 35028
2000-01-01 36343
2001-01-01 36296
2002-01-01 37276
2003-01-01 37762
2004-01-01 39314
2005-01-01 38477
2006-01-01 44507
2007-01-01 46077
2008-01-01 45169
2009-01-01 46515
2010-01-01 48968
2011-01-01 47609
2012-01-01 47481
2013-01-01 47430
2014-01-01 50719
2015-01-01 50012
2016-01-01 51581
2017-01-01 53677
2018-01-01 58978
2019-01-01 58244
2020-01-01 59737
2021-01-01 68797
2022-01-01 87929
2023-01-01 75784

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