Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kanabec County, MN
Series ID MHICILBMN27065A052NCEN
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 3:13 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 20592
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24830
1994-01-01 .
1995-01-01 26331
1996-01-01 .
1997-01-01 28458
1998-01-01 30587
1999-01-01 34455
2000-01-01 36593
2001-01-01 35988
2002-01-01 36798
2003-01-01 38502
2004-01-01 39980
2005-01-01 39490
2006-01-01 40976
2007-01-01 42157
2008-01-01 42434
2009-01-01 42536
2010-01-01 40492
2011-01-01 41101
2012-01-01 41531
2013-01-01 43204
2014-01-01 45953
2015-01-01 45441
2016-01-01 47625
2017-01-01 50274
2018-01-01 52216
2019-01-01 59781
2020-01-01 55718
2021-01-01 52835
2022-01-01 64875
2023-01-01 64127

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