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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Defiance County, OH
Series ID MHICIUBOH39039A052NCEN
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 34193
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37937
1994-01-01 .
1995-01-01 41661
1996-01-01 .
1997-01-01 44739
1998-01-01 45766
1999-01-01 46446
2000-01-01 49263
2001-01-01 48167
2002-01-01 47899
2003-01-01 48483
2004-01-01 49225
2005-01-01 50600
2006-01-01 51162
2007-01-01 50969
2008-01-01 53451
2009-01-01 49006
2010-01-01 48859
2011-01-01 53444
2012-01-01 50331
2013-01-01 52015
2014-01-01 55530
2015-01-01 58005
2016-01-01 56075
2017-01-01 62903
2018-01-01 60133
2019-01-01 66062
2020-01-01 68807
2021-01-01 71526
2022-01-01 70335
2023-01-01 78765
2024-01-01 78685

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