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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wyandot County, OH
Series ID MHICIUBOH39175A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:03 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 28129
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32713
1994-01-01 .
1995-01-01 35725
1996-01-01 .
1997-01-01 38299
1998-01-01 39599
1999-01-01 39850
2000-01-01 42584
2001-01-01 41542
2002-01-01 42008
2003-01-01 43466
2004-01-01 45196
2005-01-01 46104
2006-01-01 47865
2007-01-01 50580
2008-01-01 50859
2009-01-01 42853
2010-01-01 47080
2011-01-01 49861
2012-01-01 50344
2013-01-01 49789
2014-01-01 51752
2015-01-01 55053
2016-01-01 59212
2017-01-01 51560
2018-01-01 61133
2019-01-01 67396
2020-01-01 70857
2021-01-01 72041
2022-01-01 72880
2023-01-01 75717
2024-01-01 68759

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