Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clark County, OH
Series ID MHICIUBOH39023A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 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 29344
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33187
1994-01-01 .
1995-01-01 36608
1996-01-01 .
1997-01-01 39060
1998-01-01 40132
1999-01-01 40757
2000-01-01 43646
2001-01-01 42216
2002-01-01 42072
2003-01-01 42575
2004-01-01 43394
2005-01-01 43142
2006-01-01 45088
2007-01-01 46027
2008-01-01 47621
2009-01-01 44050
2010-01-01 42543
2011-01-01 43680
2012-01-01 43315
2013-01-01 46525
2014-01-01 43404
2015-01-01 50228
2016-01-01 50349
2017-01-01 50720
2018-01-01 52169
2019-01-01 53678
2020-01-01 58054
2021-01-01 62651
2022-01-01 60975

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