Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Morrison County, MN
Series ID MHICIUBMN27097A052NCEN
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 3:12 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 24293
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29066
1994-01-01 .
1995-01-01 31925
1996-01-01 .
1997-01-01 34200
1998-01-01 36139
1999-01-01 38140
2000-01-01 40703
2001-01-01 39943
2002-01-01 40672
2003-01-01 41512
2004-01-01 43705
2005-01-01 46187
2006-01-01 48771
2007-01-01 49013
2008-01-01 48771
2009-01-01 48162
2010-01-01 45755
2011-01-01 47533
2012-01-01 51717
2013-01-01 52014
2014-01-01 53226
2015-01-01 57067
2016-01-01 55039
2017-01-01 58692
2018-01-01 60204
2019-01-01 65709
2020-01-01 68615
2021-01-01 68802
2022-01-01 70018
2023-01-01 74095

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