Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mille Lacs County, MN
Series ID MHICILBMN27095A052NCEN
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 20750
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24295
1994-01-01 .
1995-01-01 26459
1996-01-01 .
1997-01-01 28104
1998-01-01 30167
1999-01-01 33469
2000-01-01 35179
2001-01-01 34502
2002-01-01 35701
2003-01-01 37148
2004-01-01 38963
2005-01-01 39853
2006-01-01 39404
2007-01-01 40693
2008-01-01 43917
2009-01-01 40255
2010-01-01 38759
2011-01-01 39555
2012-01-01 41917
2013-01-01 46093
2014-01-01 45142
2015-01-01 47971
2016-01-01 49855
2017-01-01 49955
2018-01-01 49123
2019-01-01 54486
2020-01-01 50462
2021-01-01 61551
2022-01-01 60350

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