Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Utah County, UT
Series ID MHICILBUT49049A052NCEN
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 3:12 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 25292
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30560
1994-01-01 .
1995-01-01 36627
1996-01-01 .
1997-01-01 38731
1998-01-01 39589
1999-01-01 41570
2000-01-01 44481
2001-01-01 43464
2002-01-01 43042
2003-01-01 43868
2004-01-01 44911
2005-01-01 45908
2006-01-01 49164
2007-01-01 55144
2008-01-01 57884
2009-01-01 55520
2010-01-01 52460
2011-01-01 55646
2012-01-01 55772
2013-01-01 58214
2014-01-01 59733
2015-01-01 63774
2016-01-01 67478
2017-01-01 68474
2018-01-01 73783
2019-01-01 77028
2020-01-01 79804
2021-01-01 83438
2022-01-01 91912
2023-01-01 97871

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