Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, OH
Series ID MHICIUBOH39079A052NCEN
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 1:09 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 23026
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24746
1994-01-01 .
1995-01-01 28138
1996-01-01 .
1997-01-01 30888
1998-01-01 33202
1999-01-01 32680
2000-01-01 34209
2001-01-01 33073
2002-01-01 33577
2003-01-01 34100
2004-01-01 35458
2005-01-01 37249
2006-01-01 36617
2007-01-01 40215
2008-01-01 40461
2009-01-01 36805
2010-01-01 39734
2011-01-01 42145
2012-01-01 40233
2013-01-01 41399
2014-01-01 44721
2015-01-01 45567
2016-01-01 47813
2017-01-01 48198
2018-01-01 48611
2019-01-01 55419
2020-01-01 54937
2021-01-01 53588
2022-01-01 59800

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