Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morgan County, UT
Series ID MHICILBUT49029A052NCEN
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 12:51 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 31912
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40008
1994-01-01 .
1995-01-01 42226
1996-01-01 .
1997-01-01 45846
1998-01-01 48537
1999-01-01 48313
2000-01-01 50026
2001-01-01 50664
2002-01-01 52130
2003-01-01 53101
2004-01-01 55158
2005-01-01 53118
2006-01-01 57388
2007-01-01 61377
2008-01-01 61522
2009-01-01 69700
2010-01-01 65021
2011-01-01 66822
2012-01-01 68237
2013-01-01 76467
2014-01-01 73922
2015-01-01 73091
2016-01-01 80286
2017-01-01 86446
2018-01-01 88340
2019-01-01 92456
2020-01-01 89211
2021-01-01 98991
2022-01-01 106976

Subscribe to the FRED newsletter


Follow us

Back to Top