Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Garfield County, UT
Series ID MHICILBUT49017A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:11 PM 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 20677
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23822
1994-01-01 .
1995-01-01 25300
1996-01-01 .
1997-01-01 26918
1998-01-01 25994
1999-01-01 30429
2000-01-01 32519
2001-01-01 31975
2002-01-01 31659
2003-01-01 32747
2004-01-01 35171
2005-01-01 35279
2006-01-01 36808
2007-01-01 37564
2008-01-01 38915
2009-01-01 37207
2010-01-01 39365
2011-01-01 36728
2012-01-01 39087
2013-01-01 39863
2014-01-01 41175
2015-01-01 40961
2016-01-01 42837
2017-01-01 45807
2018-01-01 45534
2019-01-01 48546
2020-01-01 39865
2021-01-01 50543
2022-01-01 59343

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