Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chisago County, MN
Series ID MHICIUBMN27025A052NCEN
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 34250
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39911
1994-01-01 .
1995-01-01 45992
1996-01-01 .
1997-01-01 49658
1998-01-01 53221
1999-01-01 56183
2000-01-01 60304
2001-01-01 59540
2002-01-01 61799
2003-01-01 62526
2004-01-01 65486
2005-01-01 64533
2006-01-01 61830
2007-01-01 69841
2008-01-01 71430
2009-01-01 65819
2010-01-01 65478
2011-01-01 67206
2012-01-01 69486
2013-01-01 74307
2014-01-01 78398
2015-01-01 73994
2016-01-01 80861
2017-01-01 87866
2018-01-01 88701
2019-01-01 89807
2020-01-01 91322
2021-01-01 90906
2022-01-01 103608
2023-01-01 96563

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