Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, OH
Series ID MHICILBOH39063A052NCEN
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 1:54 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 29251
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34173
1994-01-01 .
1995-01-01 34716
1996-01-01 .
1997-01-01 37896
1998-01-01 39465
1999-01-01 40479
2000-01-01 42102
2001-01-01 41634
2002-01-01 41722
2003-01-01 42289
2004-01-01 43296
2005-01-01 43340
2006-01-01 43547
2007-01-01 46396
2008-01-01 48730
2009-01-01 44834
2010-01-01 46562
2011-01-01 45171
2012-01-01 46285
2013-01-01 45535
2014-01-01 49206
2015-01-01 51981
2016-01-01 51548
2017-01-01 50753
2018-01-01 57412
2019-01-01 57851
2020-01-01 55924
2021-01-01 60751
2022-01-01 65849

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