Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Minnesota
Series ID MHICILBMN27000A052NCEN
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 2:33 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 29355
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31979
1994-01-01 .
1995-01-01 35825
1996-01-01 37665
1997-01-01 39694
1998-01-01 43218
1999-01-01 44595
2000-01-01 46836
2001-01-01 47899
2002-01-01 47949
2003-01-01 49089
2004-01-01 49270
2005-01-01 51691
2006-01-01 53590
2007-01-01 55084
2008-01-01 56807
2009-01-01 55094
2010-01-01 54978
2011-01-01 56467
2012-01-01 58186
2013-01-01 60237
2014-01-01 61010
2015-01-01 62805
2016-01-01 64989
2017-01-01 67722
2018-01-01 69764
2019-01-01 73721
2020-01-01 74227
2021-01-01 76812
2022-01-01 81605
2023-01-01 84312

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