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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fremont County, ID
Series ID MHICILBID16043A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 21318
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25695
1994-01-01 .
1995-01-01 25311
1996-01-01 .
1997-01-01 27316
1998-01-01 27330
1999-01-01 30399
2000-01-01 31762
2001-01-01 31398
2002-01-01 32554
2003-01-01 33845
2004-01-01 33831
2005-01-01 33507
2006-01-01 39434
2007-01-01 36580
2008-01-01 37520
2009-01-01 37812
2010-01-01 35240
2011-01-01 37390
2012-01-01 37723
2013-01-01 40405
2014-01-01 42663
2015-01-01 45615
2016-01-01 41575
2017-01-01 43487
2018-01-01 46824
2019-01-01 50380
2020-01-01 51911
2021-01-01 53489
2022-01-01 53792
2023-01-01 66527
2024-01-01 67655

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