Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Piute County, UT
Series ID MHICIUBUT49031A052NCEN
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 21993
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23226
1994-01-01 .
1995-01-01 26233
1996-01-01 .
1997-01-01 28943
1998-01-01 29955
1999-01-01 30257
2000-01-01 32204
2001-01-01 31600
2002-01-01 30444
2003-01-01 31131
2004-01-01 34339
2005-01-01 35953
2006-01-01 38233
2007-01-01 38102
2008-01-01 39533
2009-01-01 39649
2010-01-01 38658
2011-01-01 36963
2012-01-01 39983
2013-01-01 41379
2014-01-01 41767
2015-01-01 43467
2016-01-01 43939
2017-01-01 45587
2018-01-01 44871
2019-01-01 46451
2020-01-01 54686
2021-01-01 56695
2022-01-01 61376

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