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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ashtabula County, OH
Series ID MHICILBOH39007A052NCEN
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 7:08 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 22044
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24923
1994-01-01 .
1995-01-01 26771
1996-01-01 .
1997-01-01 29319
1998-01-01 30696
1999-01-01 32402
2000-01-01 33363
2001-01-01 32569
2002-01-01 32736
2003-01-01 33835
2004-01-01 35421
2005-01-01 35143
2006-01-01 35970
2007-01-01 37716
2008-01-01 38794
2009-01-01 36680
2010-01-01 36179
2011-01-01 36161
2012-01-01 35281
2013-01-01 39049
2014-01-01 37438
2015-01-01 42113
2016-01-01 40842
2017-01-01 41553
2018-01-01 43263
2019-01-01 42951
2020-01-01 46122
2021-01-01 45051
2022-01-01 49714
2023-01-01 53812
2024-01-01 56444

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