Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rich County, UT
Series ID MHICIUBUT49033A052NCEN
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 2:31 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 34950
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35534
1994-01-01 .
1995-01-01 37505
1996-01-01 .
1997-01-01 39985
1998-01-01 39759
1999-01-01 41303
2000-01-01 44230
2001-01-01 44123
2002-01-01 44143
2003-01-01 46001
2004-01-01 47965
2005-01-01 49494
2006-01-01 50058
2007-01-01 54723
2008-01-01 58294
2009-01-01 59330
2010-01-01 56836
2011-01-01 56103
2012-01-01 58725
2013-01-01 60067
2014-01-01 62868
2015-01-01 64157
2016-01-01 66550
2017-01-01 65360
2018-01-01 67239
2019-01-01 72476
2020-01-01 84688
2021-01-01 79721
2022-01-01 80920
2023-01-01 87014

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