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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Newaygo County, MI
Series ID MHICILBMI26123A052NCEN
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 21839
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25712
1994-01-01 .
1995-01-01 28833
1996-01-01 .
1997-01-01 30511
1998-01-01 32516
1999-01-01 34519
2000-01-01 35657
2001-01-01 34997
2002-01-01 35065
2003-01-01 36154
2004-01-01 36937
2005-01-01 37367
2006-01-01 39082
2007-01-01 40927
2008-01-01 41340
2009-01-01 36312
2010-01-01 36187
2011-01-01 39144
2012-01-01 40759
2013-01-01 40520
2014-01-01 38332
2015-01-01 41568
2016-01-01 43339
2017-01-01 44269
2018-01-01 44742
2019-01-01 49506
2020-01-01 46145
2021-01-01 54095
2022-01-01 52659

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