Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fremont County, ID
Series ID MHICIUBID16043A052NCEN
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 1:10 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 25849
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30526
1994-01-01 .
1995-01-01 31572
1996-01-01 .
1997-01-01 33824
1998-01-01 33987
1999-01-01 34794
2000-01-01 37031
2001-01-01 36182
2002-01-01 37634
2003-01-01 38664
2004-01-01 38522
2005-01-01 39432
2006-01-01 45407
2007-01-01 44562
2008-01-01 45069
2009-01-01 44820
2010-01-01 41574
2011-01-01 45432
2012-01-01 45535
2013-01-01 47855
2014-01-01 48493
2015-01-01 53495
2016-01-01 51355
2017-01-01 53675
2018-01-01 55486
2019-01-01 61944
2020-01-01 65405
2021-01-01 64267
2022-01-01 68438

Subscribe to the FRED newsletter


Follow us

Back to Top