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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ottawa County, OH
Series ID MHICIUBOH39123A052NCEN
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 1:51 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 32480
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36762
1994-01-01 .
1995-01-01 40554
1996-01-01 .
1997-01-01 42888
1998-01-01 44278
1999-01-01 45497
2000-01-01 48523
2001-01-01 47159
2002-01-01 47481
2003-01-01 48635
2004-01-01 49948
2005-01-01 53649
2006-01-01 56379
2007-01-01 54739
2008-01-01 56230
2009-01-01 54157
2010-01-01 54390
2011-01-01 55279
2012-01-01 55003
2013-01-01 55579
2014-01-01 53390
2015-01-01 62062
2016-01-01 61527
2017-01-01 59745
2018-01-01 63289
2019-01-01 69309
2020-01-01 72338
2021-01-01 77290
2022-01-01 80084

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