Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Salt Lake County, UT
Series ID MHICIUBUT49035A052NCEN
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 32625
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38822
1994-01-01 .
1995-01-01 42477
1996-01-01 .
1997-01-01 46351
1998-01-01 47765
1999-01-01 48716
2000-01-01 51501
2001-01-01 51027
2002-01-01 50550
2003-01-01 51595
2004-01-01 53027
2005-01-01 49767
2006-01-01 54276
2007-01-01 57529
2008-01-01 60867
2009-01-01 58287
2010-01-01 57873
2011-01-01 57634
2012-01-01 60111
2013-01-01 62516
2014-01-01 64207
2015-01-01 66835
2016-01-01 70249
2017-01-01 72504
2018-01-01 75438
2019-01-01 81531
2020-01-01 82291
2021-01-01 82284
2022-01-01 93602

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