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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, ID
Series ID MHICILBID16041A052NCEN
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 1:54 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 23443
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27542
1994-01-01 .
1995-01-01 29585
1996-01-01 .
1997-01-01 30885
1998-01-01 32136
1999-01-01 33676
2000-01-01 34852
2001-01-01 35145
2002-01-01 35520
2003-01-01 36569
2004-01-01 38442
2005-01-01 35301
2006-01-01 38406
2007-01-01 41186
2008-01-01 44523
2009-01-01 41294
2010-01-01 40629
2011-01-01 41649
2012-01-01 42120
2013-01-01 41358
2014-01-01 45436
2015-01-01 48950
2016-01-01 51286
2017-01-01 49252
2018-01-01 52391
2019-01-01 50570
2020-01-01 56268
2021-01-01 53847
2022-01-01 65113

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