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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bear Lake County, ID

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bear Lake County, ID
Series ID MHICIUBID16007A052NCEN
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 1:10 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 26038
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28842
1994-01-01 .
1995-01-01 32373
1996-01-01 .
1997-01-01 35230
1998-01-01 35955
1999-01-01 34659
2000-01-01 36328
2001-01-01 35993
2002-01-01 36333
2003-01-01 37213
2004-01-01 38644
2005-01-01 41495
2006-01-01 40747
2007-01-01 46309
2008-01-01 44531
2009-01-01 45302
2010-01-01 43110
2011-01-01 46600
2012-01-01 45862
2013-01-01 49829
2014-01-01 49797
2015-01-01 53000
2016-01-01 50410
2017-01-01 56535
2018-01-01 59366
2019-01-01 60909
2020-01-01 64283
2021-01-01 67374
2022-01-01 73426

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