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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adams County, ID
Series ID MHICILBID16003A052NCEN
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 20711
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23771
1994-01-01 .
1995-01-01 24116
1996-01-01 .
1997-01-01 25789
1998-01-01 26620
1999-01-01 27232
2000-01-01 28271
2001-01-01 27358
2002-01-01 28110
2003-01-01 28766
2004-01-01 30178
2005-01-01 35391
2006-01-01 30092
2007-01-01 34197
2008-01-01 34001
2009-01-01 32236
2010-01-01 31435
2011-01-01 29782
2012-01-01 31147
2013-01-01 34356
2014-01-01 37121
2015-01-01 35856
2016-01-01 38145
2017-01-01 38967
2018-01-01 40777
2019-01-01 44722
2020-01-01 43283
2021-01-01 45756
2022-01-01 49899

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