Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wasatch County, UT
Series ID MHICILBUT49051A052NCEN
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 25152
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32265
1994-01-01 .
1995-01-01 37860
1996-01-01 .
1997-01-01 39745
1998-01-01 41304
1999-01-01 44598
2000-01-01 46679
2001-01-01 46340
2002-01-01 47231
2003-01-01 48033
2004-01-01 50339
2005-01-01 49557
2006-01-01 53237
2007-01-01 55155
2008-01-01 58131
2009-01-01 56110
2010-01-01 57536
2011-01-01 52714
2012-01-01 56454
2013-01-01 59456
2014-01-01 59743
2015-01-01 68375
2016-01-01 65791
2017-01-01 75527
2018-01-01 76715
2019-01-01 82885
2020-01-01 75292
2021-01-01 90123
2022-01-01 105581
2023-01-01 108631

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