Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hancock County, OH
Series ID MHICIUBOH39063A052NCEN
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 33757
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38576
1994-01-01 .
1995-01-01 40383
1996-01-01 .
1997-01-01 43605
1998-01-01 45130
1999-01-01 45839
2000-01-01 48493
2001-01-01 47484
2002-01-01 47613
2003-01-01 47793
2004-01-01 49031
2005-01-01 49437
2006-01-01 50079
2007-01-01 53034
2008-01-01 54916
2009-01-01 52517
2010-01-01 53274
2011-01-01 51345
2012-01-01 53447
2013-01-01 51923
2014-01-01 53790
2015-01-01 58549
2016-01-01 61264
2017-01-01 58019
2018-01-01 65746
2019-01-01 67589
2020-01-01 67022
2021-01-01 70981
2022-01-01 79467

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