Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Summit County, UT
Series ID MHICILBUT49043A052NCEN
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 1:11 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 33929
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41091
1994-01-01 .
1995-01-01 52568
1996-01-01 .
1997-01-01 52898
1998-01-01 53565
1999-01-01 58896
2000-01-01 61586
2001-01-01 62776
2002-01-01 61327
2003-01-01 61327
2004-01-01 62496
2005-01-01 67649
2006-01-01 73821
2007-01-01 73326
2008-01-01 74646
2009-01-01 67764
2010-01-01 68273
2011-01-01 78652
2012-01-01 78828
2013-01-01 76046
2014-01-01 85447
2015-01-01 85413
2016-01-01 86430
2017-01-01 95572
2018-01-01 95021
2019-01-01 102169
2020-01-01 108942
2021-01-01 112007
2022-01-01 118871

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