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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ashtabula County, OH
Series ID MHICIUBOH39007A052NCEN
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 26596
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29386
1994-01-01 .
1995-01-01 32627
1996-01-01 .
1997-01-01 35300
1998-01-01 36626
1999-01-01 36851
2000-01-01 38646
2001-01-01 37315
2002-01-01 37536
2003-01-01 38377
2004-01-01 40186
2005-01-01 39887
2006-01-01 41698
2007-01-01 42497
2008-01-01 45004
2009-01-01 42322
2010-01-01 41345
2011-01-01 41205
2012-01-01 40341
2013-01-01 42749
2014-01-01 42076
2015-01-01 46403
2016-01-01 46494
2017-01-01 48761
2018-01-01 50637
2019-01-01 51825
2020-01-01 56382
2021-01-01 52781
2022-01-01 55222
2023-01-01 62492
2024-01-01 64516

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