Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mahnomen County, MN
Series ID MHICIUBMN27087A052NCEN
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 1:52 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 20973
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24115
1994-01-01 .
1995-01-01 26622
1996-01-01 .
1997-01-01 27787
1998-01-01 28644
1999-01-01 30538
2000-01-01 32921
2001-01-01 30558
2002-01-01 30522
2003-01-01 32240
2004-01-01 31617
2005-01-01 34633
2006-01-01 37228
2007-01-01 38510
2008-01-01 37597
2009-01-01 37199
2010-01-01 38606
2011-01-01 40330
2012-01-01 40443
2013-01-01 43224
2014-01-01 43297
2015-01-01 44576
2016-01-01 45698
2017-01-01 46804
2018-01-01 47036
2019-01-01 50085
2020-01-01 53152
2021-01-01 56165
2022-01-01 58173

Subscribe to the FRED newsletter


Follow us

Back to Top