Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Montcalm County, MI
Series ID MHICIUBMI26117A052NCEN
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 27376
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30393
1994-01-01 .
1995-01-01 33979
1996-01-01 .
1997-01-01 36545
1998-01-01 38492
1999-01-01 39038
2000-01-01 40972
2001-01-01 39386
2002-01-01 39711
2003-01-01 41124
2004-01-01 42534
2005-01-01 41067
2006-01-01 42966
2007-01-01 42880
2008-01-01 45534
2009-01-01 40358
2010-01-01 38986
2011-01-01 42890
2012-01-01 43480
2013-01-01 43455
2014-01-01 43791
2015-01-01 44413
2016-01-01 48916
2017-01-01 49356
2018-01-01 53158
2019-01-01 55514
2020-01-01 57208
2021-01-01 59460
2022-01-01 65625

Subscribe to the FRED newsletter


Follow us

Back to Top