Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kanabec County, MN
Series ID MHICIUBMN27065A052NCEN
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 3:11 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 25106
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29341
1994-01-01 .
1995-01-01 32463
1996-01-01 .
1997-01-01 34636
1998-01-01 36702
1999-01-01 39231
2000-01-01 42513
2001-01-01 41269
2002-01-01 42252
2003-01-01 43717
2004-01-01 45361
2005-01-01 43806
2006-01-01 47533
2007-01-01 48384
2008-01-01 48293
2009-01-01 49390
2010-01-01 44982
2011-01-01 48281
2012-01-01 46927
2013-01-01 50676
2014-01-01 51863
2015-01-01 52373
2016-01-01 55069
2017-01-01 56088
2018-01-01 61684
2019-01-01 67409
2020-01-01 69126
2021-01-01 63039
2022-01-01 74301
2023-01-01 76641

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