Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Elmore County, ID
Series ID MHICIUBID16039A052NCEN
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 12:51 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 26783
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31334
1994-01-01 .
1995-01-01 31708
1996-01-01 .
1997-01-01 35833
1998-01-01 38196
1999-01-01 36855
2000-01-01 39393
2001-01-01 38224
2002-01-01 38382
2003-01-01 39167
2004-01-01 39599
2005-01-01 42499
2006-01-01 43530
2007-01-01 53333
2008-01-01 49592
2009-01-01 45893
2010-01-01 43474
2011-01-01 46002
2012-01-01 46035
2013-01-01 45699
2014-01-01 48723
2015-01-01 48128
2016-01-01 49258
2017-01-01 49859
2018-01-01 52798
2019-01-01 53241
2020-01-01 55643
2021-01-01 55243
2022-01-01 68185

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