Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hocking County, OH
Series ID MHICILBOH39073A052NCEN
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 2:32 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 21001
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24141
1994-01-01 .
1995-01-01 25793
1996-01-01 .
1997-01-01 27779
1998-01-01 29369
1999-01-01 31435
2000-01-01 32440
2001-01-01 31693
2002-01-01 32136
2003-01-01 33290
2004-01-01 34220
2005-01-01 35030
2006-01-01 35915
2007-01-01 36380
2008-01-01 37049
2009-01-01 35322
2010-01-01 37296
2011-01-01 39045
2012-01-01 35566
2013-01-01 38821
2014-01-01 38628
2015-01-01 39886
2016-01-01 43673
2017-01-01 44392
2018-01-01 45694
2019-01-01 45700
2020-01-01 46901
2021-01-01 50188
2022-01-01 51406
2023-01-01 53237

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