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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sandusky County, OH
Series ID MHICIUBOH39143A052NCEN
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 31515
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35243
1994-01-01 .
1995-01-01 37896
1996-01-01 .
1997-01-01 39925
1998-01-01 41409
1999-01-01 41945
2000-01-01 44519
2001-01-01 43399
2002-01-01 43572
2003-01-01 44353
2004-01-01 45611
2005-01-01 47297
2006-01-01 48064
2007-01-01 48175
2008-01-01 50512
2009-01-01 47704
2010-01-01 47624
2011-01-01 46794
2012-01-01 49093
2013-01-01 49546
2014-01-01 50012
2015-01-01 52706
2016-01-01 55857
2017-01-01 57136
2018-01-01 58035
2019-01-01 64036
2020-01-01 66671
2021-01-01 58268
2022-01-01 66797

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