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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wood County, OH
Series ID MHICILBOH39173A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 29922
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33943
1994-01-01 .
1995-01-01 36488
1996-01-01 .
1997-01-01 39802
1998-01-01 41538
1999-01-01 41218
2000-01-01 42585
2001-01-01 42203
2002-01-01 42219
2003-01-01 43003
2004-01-01 43402
2005-01-01 44670
2006-01-01 48344
2007-01-01 48414
2008-01-01 51858
2009-01-01 47506
2010-01-01 46358
2011-01-01 47843
2012-01-01 48034
2013-01-01 49833
2014-01-01 52010
2015-01-01 54980
2016-01-01 57382
2017-01-01 57085
2018-01-01 59977
2019-01-01 60893
2020-01-01 61770
2021-01-01 61348
2022-01-01 63179
2023-01-01 69680

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