Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kent County, MI
Series ID MHICIUBMI26081A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 33402
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39022
1994-01-01 .
1995-01-01 41732
1996-01-01 .
1997-01-01 47174
1998-01-01 49538
1999-01-01 48561
2000-01-01 50662
2001-01-01 49505
2002-01-01 49529
2003-01-01 49735
2004-01-01 50649
2005-01-01 47703
2006-01-01 47948
2007-01-01 51351
2008-01-01 52161
2009-01-01 49137
2010-01-01 49352
2011-01-01 52079
2012-01-01 52022
2013-01-01 53292
2014-01-01 54719
2015-01-01 56246
2016-01-01 61066
2017-01-01 62540
2018-01-01 63357
2019-01-01 68400
2020-01-01 68321
2021-01-01 73819
2022-01-01 79652
2023-01-01 82476

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