Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Millard County, UT
Series ID MHICILBUT49027A052NCEN
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 1:53 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 24811
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29400
1994-01-01 .
1995-01-01 31183
1996-01-01 .
1997-01-01 32114
1998-01-01 32650
1999-01-01 33411
2000-01-01 34678
2001-01-01 34794
2002-01-01 35332
2003-01-01 36458
2004-01-01 38002
2005-01-01 37132
2006-01-01 38876
2007-01-01 40845
2008-01-01 42769
2009-01-01 40761
2010-01-01 42010
2011-01-01 42548
2012-01-01 44684
2013-01-01 47123
2014-01-01 48442
2015-01-01 46898
2016-01-01 50461
2017-01-01 50428
2018-01-01 53776
2019-01-01 53109
2020-01-01 53494
2021-01-01 62177
2022-01-01 60609

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