Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Isabella County, MI
Series ID MHICILBMI26073A052NCEN
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 24412
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26566
1994-01-01 .
1995-01-01 28215
1996-01-01 .
1997-01-01 30534
1998-01-01 32532
1999-01-01 32185
2000-01-01 32897
2001-01-01 31817
2002-01-01 32033
2003-01-01 32946
2004-01-01 33858
2005-01-01 34641
2006-01-01 37926
2007-01-01 36792
2008-01-01 36177
2009-01-01 33663
2010-01-01 33053
2011-01-01 35996
2012-01-01 35287
2013-01-01 37016
2014-01-01 39593
2015-01-01 39338
2016-01-01 40198
2017-01-01 42049
2018-01-01 43606
2019-01-01 43514
2020-01-01 47540
2021-01-01 45567
2022-01-01 49609

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