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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Greene County, OH
Series ID MHICILBOH39057A052NCEN
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 1:12 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 32700
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37886
1994-01-01 .
1995-01-01 40153
1996-01-01 .
1997-01-01 43786
1998-01-01 45712
1999-01-01 45142
2000-01-01 46661
2001-01-01 46440
2002-01-01 46603
2003-01-01 47107
2004-01-01 48134
2005-01-01 51985
2006-01-01 52453
2007-01-01 52514
2008-01-01 55168
2009-01-01 52255
2010-01-01 49876
2011-01-01 53417
2012-01-01 51170
2013-01-01 56356
2014-01-01 55599
2015-01-01 57228
2016-01-01 59608
2017-01-01 64636
2018-01-01 64174
2019-01-01 64169
2020-01-01 66978
2021-01-01 74024
2022-01-01 76561

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