Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Daggett County, UT
Series ID MHICILBUT49009A052NCEN
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 3:12 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 23968
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26913
1994-01-01 .
1995-01-01 30105
1996-01-01 .
1997-01-01 32431
1998-01-01 34449
1999-01-01 30498
2000-01-01 30811
2001-01-01 30690
2002-01-01 30469
2003-01-01 32607
2004-01-01 34292
2005-01-01 32652
2006-01-01 33990
2007-01-01 37373
2008-01-01 40307
2009-01-01 39396
2010-01-01 37753
2011-01-01 43693
2012-01-01 46165
2013-01-01 47707
2014-01-01 47252
2015-01-01 51418
2016-01-01 49075
2017-01-01 49329
2018-01-01 52441
2019-01-01 55597
2020-01-01 53792
2021-01-01 50049
2022-01-01 58141
2023-01-01 56736

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