Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Iron County, UT
Series ID MHICILBUT49021A052NCEN
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 1:11 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 21560
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26541
1994-01-01 .
1995-01-01 30055
1996-01-01 .
1997-01-01 29753
1998-01-01 30231
1999-01-01 30846
2000-01-01 31675
2001-01-01 31202
2002-01-01 31834
2003-01-01 33672
2004-01-01 35189
2005-01-01 34578
2006-01-01 38542
2007-01-01 38367
2008-01-01 42148
2009-01-01 36920
2010-01-01 36807
2011-01-01 37355
2012-01-01 38456
2013-01-01 39870
2014-01-01 39441
2015-01-01 41031
2016-01-01 41377
2017-01-01 43574
2018-01-01 47648
2019-01-01 53015
2020-01-01 48553
2021-01-01 55405
2022-01-01 59915

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