Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Juan County, UT
Series ID MHICILBUT49037A052NCEN
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 20595
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22094
1994-01-01 .
1995-01-01 23497
1996-01-01 .
1997-01-01 23596
1998-01-01 25534
1999-01-01 26332
2000-01-01 26308
2001-01-01 25521
2002-01-01 25077
2003-01-01 25857
2004-01-01 26769
2005-01-01 27235
2006-01-01 30501
2007-01-01 31172
2008-01-01 35054
2009-01-01 32590
2010-01-01 33685
2011-01-01 34176
2012-01-01 34860
2013-01-01 36608
2014-01-01 36391
2015-01-01 35308
2016-01-01 39635
2017-01-01 40618
2018-01-01 38468
2019-01-01 44842
2020-01-01 43798
2021-01-01 42398
2022-01-01 45436

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