Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Olmsted County, MN
Series ID MHICIUBMN27109A052NCEN
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 38885
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44891
1994-01-01 .
1995-01-01 48258
1996-01-01 .
1997-01-01 52083
1998-01-01 53738
1999-01-01 54585
2000-01-01 57944
2001-01-01 57293
2002-01-01 58972
2003-01-01 60508
2004-01-01 61766
2005-01-01 61082
2006-01-01 63072
2007-01-01 63491
2008-01-01 70170
2009-01-01 65956
2010-01-01 64107
2011-01-01 70645
2012-01-01 67893
2013-01-01 68149
2014-01-01 73861
2015-01-01 72917
2016-01-01 75860
2017-01-01 80190
2018-01-01 80072
2019-01-01 85553
2020-01-01 89848
2021-01-01 88033
2022-01-01 93726

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