Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, UT
Series ID MHICILBUT49053A052NCEN
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 2:32 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 21874
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26929
1994-01-01 .
1995-01-01 33999
1996-01-01 .
1997-01-01 31554
1998-01-01 32415
1999-01-01 33828
2000-01-01 35120
2001-01-01 34529
2002-01-01 35317
2003-01-01 37364
2004-01-01 40117
2005-01-01 40987
2006-01-01 43475
2007-01-01 45107
2008-01-01 48852
2009-01-01 45086
2010-01-01 45629
2011-01-01 43998
2012-01-01 42329
2013-01-01 47552
2014-01-01 46673
2015-01-01 51987
2016-01-01 51749
2017-01-01 52360
2018-01-01 54060
2019-01-01 59543
2020-01-01 65845
2021-01-01 59157
2022-01-01 69810
2023-01-01 72949

Subscribe to the FRED newsletter


Follow us

Back to Top