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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ottawa County, OH
Series ID MHICILBOH39123A052NCEN
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 1:12 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 27977
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32241
1994-01-01 .
1995-01-01 34429
1996-01-01 .
1997-01-01 36741
1998-01-01 38189
1999-01-01 39911
2000-01-01 41739
2001-01-01 41017
2002-01-01 41272
2003-01-01 42824
2004-01-01 43942
2005-01-01 46561
2006-01-01 49836
2007-01-01 47394
2008-01-01 48331
2009-01-01 46052
2010-01-01 47024
2011-01-01 48003
2012-01-01 47429
2013-01-01 47995
2014-01-01 47300
2015-01-01 55524
2016-01-01 51611
2017-01-01 52191
2018-01-01 53401
2019-01-01 57395
2020-01-01 58826
2021-01-01 65528
2022-01-01 65476

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