Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Duchesne County, UT
Series ID MHICIUBUT49013A052NCEN
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 1:51 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 28516
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31263
1994-01-01 .
1995-01-01 33811
1996-01-01 .
1997-01-01 34844
1998-01-01 35331
1999-01-01 33549
2000-01-01 35865
2001-01-01 36328
2002-01-01 37575
2003-01-01 38964
2004-01-01 42042
2005-01-01 45098
2006-01-01 45336
2007-01-01 53315
2008-01-01 55767
2009-01-01 57347
2010-01-01 57620
2011-01-01 58483
2012-01-01 61749
2013-01-01 64487
2014-01-01 65322
2015-01-01 68504
2016-01-01 60570
2017-01-01 64669
2018-01-01 64952
2019-01-01 65424
2020-01-01 67629
2021-01-01 69205
2022-01-01 74065

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