Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Millard County, UT
Series ID MHICIUBUT49027A052NCEN
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 29235
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33912
1994-01-01 .
1995-01-01 37356
1996-01-01 .
1997-01-01 38500
1998-01-01 39270
1999-01-01 38063
2000-01-01 40257
2001-01-01 39891
2002-01-01 40552
2003-01-01 41347
2004-01-01 43096
2005-01-01 43978
2006-01-01 46643
2007-01-01 49051
2008-01-01 50878
2009-01-01 48942
2010-01-01 49610
2011-01-01 52084
2012-01-01 52260
2013-01-01 55725
2014-01-01 56804
2015-01-01 57514
2016-01-01 60851
2017-01-01 62002
2018-01-01 63512
2019-01-01 65029
2020-01-01 67138
2021-01-01 74085
2022-01-01 74027

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