Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chippewa County, MN
Series ID MHICILBMN27023A052NCEN
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 1:54 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 21864
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25742
1994-01-01 .
1995-01-01 27984
1996-01-01 .
1997-01-01 31160
1998-01-01 33328
1999-01-01 34124
2000-01-01 35117
2001-01-01 34623
2002-01-01 35276
2003-01-01 35980
2004-01-01 36869
2005-01-01 35917
2006-01-01 38103
2007-01-01 38731
2008-01-01 40299
2009-01-01 41133
2010-01-01 40812
2011-01-01 42692
2012-01-01 46100
2013-01-01 52426
2014-01-01 46143
2015-01-01 46030
2016-01-01 46697
2017-01-01 56277
2018-01-01 48757
2019-01-01 49691
2020-01-01 58711
2021-01-01 52795
2022-01-01 54949

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