Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Minnesota

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Minnesota
Series ID MHICIUBMN27000A052NCEN
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 2024-01-01
Last Updated 2026-02-09 11:51 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 31717
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34499
1994-01-01 .
1995-01-01 39141
1996-01-01 41916
1997-01-01 43489
1998-01-01 47403
1999-01-01 47712
2000-01-01 51504
2001-01-01 51338
2002-01-01 52366
2003-01-01 52411
2004-01-01 53133
2005-01-01 52406
2006-01-01 54453
2007-01-01 56243
2008-01-01 57829
2009-01-01 56147
2010-01-01 55866
2011-01-01 57421
2012-01-01 59470
2013-01-01 61091
2014-01-01 61936
2015-01-01 64113
2016-01-01 66177
2017-01-01 69006
2018-01-01 70826
2019-01-01 75337
2020-01-01 76751
2021-01-01 78612
2022-01-01 83081
2023-01-01 85828
2024-01-01 88061

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