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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Miami County, OH
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 1:53 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.
1989-01-01 27814
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33449
1994-01-01 .
1995-01-01 35660
1996-01-01 .
1997-01-01 38710
1998-01-01 39710
1999-01-01 40265
2000-01-01 41946
2001-01-01 41447
2002-01-01 41319
2003-01-01 42121
2004-01-01 43102
2005-01-01 44228
2006-01-01 46195
2007-01-01 47657
2008-01-01 49775
2009-01-01 46980
2010-01-01 46918
2011-01-01 44934
2012-01-01 49616
2013-01-01 48893
2014-01-01 48940
2015-01-01 48037
2016-01-01 56076
2017-01-01 57564
2018-01-01 55859
2019-01-01 58975
2020-01-01 57338
2021-01-01 61579
2022-01-01 66651

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