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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Newaygo County, MI
Series ID MHICIUBMI26123A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:05 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 26373
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30250
1994-01-01 .
1995-01-01 34996
1996-01-01 .
1997-01-01 36733
1998-01-01 38666
1999-01-01 39393
2000-01-01 41425
2001-01-01 40137
2002-01-01 40247
2003-01-01 40973
2004-01-01 41867
2005-01-01 42262
2006-01-01 44627
2007-01-01 46189
2008-01-01 46973
2009-01-01 41807
2010-01-01 41505
2011-01-01 44204
2012-01-01 45361
2013-01-01 45956
2014-01-01 44844
2015-01-01 48604
2016-01-01 51103
2017-01-01 50773
2018-01-01 52978
2019-01-01 54038
2020-01-01 56099
2021-01-01 61585
2022-01-01 63325
2023-01-01 66598
2024-01-01 70987

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