Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ottawa County, MI
Series ID MHICILBMI26139A052NCEN
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 2:33 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 34025
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41101
1994-01-01 .
1995-01-01 46827
1996-01-01 .
1997-01-01 48733
1998-01-01 50371
1999-01-01 49325
2000-01-01 50642
2001-01-01 49914
2002-01-01 50031
2003-01-01 50948
2004-01-01 51788
2005-01-01 54585
2006-01-01 54609
2007-01-01 52693
2008-01-01 54185
2009-01-01 49894
2010-01-01 51605
2011-01-01 51789
2012-01-01 52698
2013-01-01 55641
2014-01-01 58638
2015-01-01 59303
2016-01-01 62431
2017-01-01 66419
2018-01-01 67628
2019-01-01 66547
2020-01-01 73230
2021-01-01 75869
2022-01-01 81166
2023-01-01 79722

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