Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Benton County, MN
Series ID MHICIUBMN27009A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 29096
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34006
1994-01-01 .
1995-01-01 38426
1996-01-01 .
1997-01-01 41318
1998-01-01 44067
1999-01-01 44134
2000-01-01 46792
2001-01-01 45771
2002-01-01 46886
2003-01-01 48366
2004-01-01 48997
2005-01-01 48871
2006-01-01 51538
2007-01-01 51627
2008-01-01 55012
2009-01-01 53808
2010-01-01 52636
2011-01-01 53330
2012-01-01 55970
2013-01-01 54802
2014-01-01 56799
2015-01-01 56339
2016-01-01 57125
2017-01-01 62669
2018-01-01 67226
2019-01-01 70099
2020-01-01 78478
2021-01-01 72526
2022-01-01 78705
2023-01-01 83442

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