Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caribou County, ID
Series ID MHICIUBID16029A052NCEN
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 1:53 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 31688
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38857
1994-01-01 .
1995-01-01 42644
1996-01-01 .
1997-01-01 45671
1998-01-01 45351
1999-01-01 41755
2000-01-01 43824
2001-01-01 43489
2002-01-01 43520
2003-01-01 44100
2004-01-01 44993
2005-01-01 46139
2006-01-01 46319
2007-01-01 52811
2008-01-01 54765
2009-01-01 56161
2010-01-01 53907
2011-01-01 54467
2012-01-01 59496
2013-01-01 59291
2014-01-01 61551
2015-01-01 61612
2016-01-01 60907
2017-01-01 64824
2018-01-01 67676
2019-01-01 67956
2020-01-01 73334
2021-01-01 74543
2022-01-01 78558

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