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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bear Lake County, ID
Series ID MHICILBID16007A052NCEN
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 1:12 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 21590
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24305
1994-01-01 .
1995-01-01 26368
1996-01-01 .
1997-01-01 29115
1998-01-01 29795
1999-01-01 30392
2000-01-01 31301
2001-01-01 31330
2002-01-01 31666
2003-01-01 32841
2004-01-01 34083
2005-01-01 35059
2006-01-01 34713
2007-01-01 38410
2008-01-01 36648
2009-01-01 39096
2010-01-01 35828
2011-01-01 38054
2012-01-01 38406
2013-01-01 41349
2014-01-01 41211
2015-01-01 43618
2016-01-01 41340
2017-01-01 46151
2018-01-01 48194
2019-01-01 48191
2020-01-01 47095
2021-01-01 53156
2022-01-01 58586

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