Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Morgan County, UT
Series ID MHICIUBUT49029A052NCEN
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 1:09 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 36576
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44826
1994-01-01 .
1995-01-01 48532
1996-01-01 .
1997-01-01 52303
1998-01-01 55134
1999-01-01 55320
2000-01-01 58322
2001-01-01 58366
2002-01-01 60116
2003-01-01 60509
2004-01-01 62821
2005-01-01 63783
2006-01-01 68643
2007-01-01 74971
2008-01-01 74014
2009-01-01 80628
2010-01-01 77947
2011-01-01 82196
2012-01-01 82459
2013-01-01 90525
2014-01-01 91272
2015-01-01 89625
2016-01-01 91076
2017-01-01 105956
2018-01-01 109410
2019-01-01 111430
2020-01-01 118281
2021-01-01 123953
2022-01-01 131988

Subscribe to the FRED newsletter


Follow us

Back to Top