Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Guernsey County, OH
Series ID MHICIUBOH39059A052NCEN
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 23947
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25978
1994-01-01 .
1995-01-01 29154
1996-01-01 .
1997-01-01 31396
1998-01-01 32025
1999-01-01 31804
2000-01-01 33554
2001-01-01 32677
2002-01-01 33406
2003-01-01 34273
2004-01-01 35062
2005-01-01 35779
2006-01-01 36653
2007-01-01 38619
2008-01-01 40247
2009-01-01 38017
2010-01-01 38481
2011-01-01 39546
2012-01-01 40952
2013-01-01 42887
2014-01-01 44964
2015-01-01 44625
2016-01-01 47262
2017-01-01 46756
2018-01-01 48973
2019-01-01 52101
2020-01-01 50588
2021-01-01 54603
2022-01-01 60458
2023-01-01 59119

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