Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Meigs County, OH
Series ID MHICILBOH39105A052NCEN
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 18133
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19177
1994-01-01 .
1995-01-01 20441
1996-01-01 .
1997-01-01 22085
1998-01-01 23707
1999-01-01 25616
2000-01-01 26392
2001-01-01 26139
2002-01-01 26104
2003-01-01 26096
2004-01-01 27061
2005-01-01 27711
2006-01-01 28621
2007-01-01 30392
2008-01-01 30760
2009-01-01 31499
2010-01-01 30204
2011-01-01 31511
2012-01-01 32159
2013-01-01 38408
2014-01-01 35752
2015-01-01 35215
2016-01-01 35643
2017-01-01 39081
2018-01-01 41008
2019-01-01 39560
2020-01-01 38628
2021-01-01 40561
2022-01-01 41415

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