Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Weber County, UT
Series ID MHICIUBUT49057A052NCEN
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 2:30 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 31917
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38285
1994-01-01 .
1995-01-01 43231
1996-01-01 .
1997-01-01 45530
1998-01-01 46514
1999-01-01 46047
2000-01-01 49484
2001-01-01 48470
2002-01-01 49199
2003-01-01 49532
2004-01-01 50345
2005-01-01 51373
2006-01-01 51575
2007-01-01 54092
2008-01-01 52945
2009-01-01 55022
2010-01-01 55882
2011-01-01 54446
2012-01-01 56665
2013-01-01 55986
2014-01-01 61508
2015-01-01 62450
2016-01-01 65195
2017-01-01 64987
2018-01-01 70957
2019-01-01 74682
2020-01-01 76378
2021-01-01 75729
2022-01-01 86553
2023-01-01 90651

Subscribe to the FRED newsletter


Follow us

Back to Top