Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Iron County, UT
Series ID MHICIUBUT49021A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:02 AM 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 25793
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30924
1994-01-01 .
1995-01-01 36457
1996-01-01 .
1997-01-01 36052
1998-01-01 36523
1999-01-01 35300
2000-01-01 36756
2001-01-01 35754
2002-01-01 36519
2003-01-01 38196
2004-01-01 39952
2005-01-01 40670
2006-01-01 43219
2007-01-01 42133
2008-01-01 48264
2009-01-01 43370
2010-01-01 43153
2011-01-01 44833
2012-01-01 45152
2013-01-01 47008
2014-01-01 47789
2015-01-01 49205
2016-01-01 49785
2017-01-01 52762
2018-01-01 55138
2019-01-01 63599
2020-01-01 57331
2021-01-01 67437
2022-01-01 73083
2023-01-01 73790

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