Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kane County, UT
Series ID MHICIUBUT49025A052NCEN
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 3:11 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 26696
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29101
1994-01-01 .
1995-01-01 33560
1996-01-01 .
1997-01-01 33711
1998-01-01 34755
1999-01-01 35123
2000-01-01 37641
2001-01-01 36656
2002-01-01 36899
2003-01-01 38448
2004-01-01 40050
2005-01-01 40852
2006-01-01 44569
2007-01-01 46146
2008-01-01 49782
2009-01-01 47564
2010-01-01 47692
2011-01-01 46780
2012-01-01 47136
2013-01-01 50069
2014-01-01 52881
2015-01-01 52348
2016-01-01 53900
2017-01-01 55478
2018-01-01 57869
2019-01-01 62338
2020-01-01 66851
2021-01-01 69647
2022-01-01 74843
2023-01-01 78038

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