Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Olmsted County, MN
Series ID MHICILBMN27109A052NCEN
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 1:11 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 34316
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40312
1994-01-01 .
1995-01-01 42066
1996-01-01 .
1997-01-01 45900
1998-01-01 47610
1999-01-01 47925
2000-01-01 49857
2001-01-01 49936
2002-01-01 51342
2003-01-01 53334
2004-01-01 54546
2005-01-01 54987
2006-01-01 59064
2007-01-01 57874
2008-01-01 63817
2009-01-01 62144
2010-01-01 58617
2011-01-01 63349
2012-01-01 60877
2013-01-01 63509
2014-01-01 64999
2015-01-01 67209
2016-01-01 69162
2017-01-01 74030
2018-01-01 71930
2019-01-01 75709
2020-01-01 75518
2021-01-01 79279
2022-01-01 82338

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