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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clark County, OH
Series ID MHICILBOH39023A052NCEN
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 25095
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28890
1994-01-01 .
1995-01-01 30838
1996-01-01 .
1997-01-01 33215
1998-01-01 34355
1999-01-01 35957
2000-01-01 37827
2001-01-01 36933
2002-01-01 36754
2003-01-01 37631
2004-01-01 38317
2005-01-01 38083
2006-01-01 40524
2007-01-01 40786
2008-01-01 43339
2009-01-01 40866
2010-01-01 38505
2011-01-01 39728
2012-01-01 38251
2013-01-01 41533
2014-01-01 40654
2015-01-01 45074
2016-01-01 44471
2017-01-01 44588
2018-01-01 48009
2019-01-01 47986
2020-01-01 50960
2021-01-01 55503
2022-01-01 53553
2023-01-01 55487
2024-01-01 60043

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