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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ashland County, OH
Series ID MHICIUBOH39005A052NCEN
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 29338
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33689
1994-01-01 .
1995-01-01 36988
1996-01-01 .
1997-01-01 39495
1998-01-01 41475
1999-01-01 40771
2000-01-01 43073
2001-01-01 42037
2002-01-01 42093
2003-01-01 42529
2004-01-01 43725
2005-01-01 44894
2006-01-01 48353
2007-01-01 50222
2008-01-01 45594
2009-01-01 46113
2010-01-01 44964
2011-01-01 48422
2012-01-01 47605
2013-01-01 51388
2014-01-01 51290
2015-01-01 51882
2016-01-01 53460
2017-01-01 55404
2018-01-01 58176
2019-01-01 56551
2020-01-01 61627
2021-01-01 64660
2022-01-01 67960
2023-01-01 71804
2024-01-01 78147

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