Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chippewa County, MI
Series ID MHICILBMI26033A052NCEN
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 19058
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23323
1994-01-01 .
1995-01-01 25861
1996-01-01 .
1997-01-01 27364
1998-01-01 28499
1999-01-01 30852
2000-01-01 32043
2001-01-01 30994
2002-01-01 30762
2003-01-01 31520
2004-01-01 32258
2005-01-01 33016
2006-01-01 35769
2007-01-01 36522
2008-01-01 37828
2009-01-01 35718
2010-01-01 33501
2011-01-01 36526
2012-01-01 37716
2013-01-01 43539
2014-01-01 36359
2015-01-01 39684
2016-01-01 39973
2017-01-01 41614
2018-01-01 43999
2019-01-01 45883
2020-01-01 46994
2021-01-01 44585
2022-01-01 54403

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