Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cass County, MI
Series ID MHICIUBMI26027A052NCEN
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 28455
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33256
1994-01-01 .
1995-01-01 37202
1996-01-01 .
1997-01-01 39519
1998-01-01 41262
1999-01-01 42249
2000-01-01 45009
2001-01-01 43487
2002-01-01 43515
2003-01-01 44074
2004-01-01 45665
2005-01-01 46318
2006-01-01 46636
2007-01-01 43730
2008-01-01 49707
2009-01-01 49029
2010-01-01 44942
2011-01-01 47164
2012-01-01 47108
2013-01-01 45126
2014-01-01 50824
2015-01-01 52449
2016-01-01 55231
2017-01-01 55665
2018-01-01 60024
2019-01-01 58876
2020-01-01 65682
2021-01-01 68337
2022-01-01 72151

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