Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wasatch County, UT
Series ID MHICIUBUT49051A052NCEN
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 29754
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36863
1994-01-01 .
1995-01-01 44214
1996-01-01 .
1997-01-01 46234
1998-01-01 47794
1999-01-01 51056
2000-01-01 54230
2001-01-01 53151
2002-01-01 54242
2003-01-01 54533
2004-01-01 57202
2005-01-01 59123
2006-01-01 63480
2007-01-01 66620
2008-01-01 70344
2009-01-01 67107
2010-01-01 65650
2011-01-01 60044
2012-01-01 67574
2013-01-01 69390
2014-01-01 70671
2015-01-01 81849
2016-01-01 80363
2017-01-01 91161
2018-01-01 94045
2019-01-01 101387
2020-01-01 98904
2021-01-01 114289
2022-01-01 126005

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