Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Utah County, UT
Series ID MHICIUBUT49049A052NCEN
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 1:51 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 29332
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34753
1994-01-01 .
1995-01-01 41929
1996-01-01 .
1997-01-01 44272
1998-01-01 45234
1999-01-01 46949
2000-01-01 50722
2001-01-01 49103
2002-01-01 48677
2003-01-01 49137
2004-01-01 50331
2005-01-01 49529
2006-01-01 52158
2007-01-01 59122
2008-01-01 61518
2009-01-01 59423
2010-01-01 56310
2011-01-01 60508
2012-01-01 60562
2013-01-01 61924
2014-01-01 62181
2015-01-01 67076
2016-01-01 71658
2017-01-01 72448
2018-01-01 76809
2019-01-01 81982
2020-01-01 83804
2021-01-01 89756
2022-01-01 98258

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