Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hocking County, OH
Series ID MHICIUBOH39073A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 25495
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28654
1994-01-01 .
1995-01-01 31920
1996-01-01 .
1997-01-01 33934
1998-01-01 35458
1999-01-01 35763
2000-01-01 37646
2001-01-01 36346
2002-01-01 36867
2003-01-01 37747
2004-01-01 38803
2005-01-01 41461
2006-01-01 42236
2007-01-01 42058
2008-01-01 44079
2009-01-01 40360
2010-01-01 42738
2011-01-01 45937
2012-01-01 42288
2013-01-01 45931
2014-01-01 46120
2015-01-01 47310
2016-01-01 51925
2017-01-01 52402
2018-01-01 55442
2019-01-01 56332
2020-01-01 60775
2021-01-01 61440
2022-01-01 63300
2023-01-01 62799

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