Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fulton County, OH
Series ID MHICIUBOH39051A052NCEN
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 2:31 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 32792
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37917
1994-01-01 .
1995-01-01 41315
1996-01-01 .
1997-01-01 44344
1998-01-01 45739
1999-01-01 46193
2000-01-01 48943
2001-01-01 48055
2002-01-01 48142
2003-01-01 49463
2004-01-01 51128
2005-01-01 52473
2006-01-01 49901
2007-01-01 53896
2008-01-01 55251
2009-01-01 56334
2010-01-01 53158
2011-01-01 51763
2012-01-01 54006
2013-01-01 55510
2014-01-01 58181
2015-01-01 62239
2016-01-01 61564
2017-01-01 63938
2018-01-01 66591
2019-01-01 69315
2020-01-01 66269
2021-01-01 73926
2022-01-01 81887
2023-01-01 75075

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