Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ross County, OH
Series ID MHICIUBOH39141A052NCEN
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 26289
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30376
1994-01-01 .
1995-01-01 33625
1996-01-01 .
1997-01-01 36506
1998-01-01 38906
1999-01-01 38710
2000-01-01 40702
2001-01-01 39504
2002-01-01 39700
2003-01-01 40445
2004-01-01 41390
2005-01-01 40754
2006-01-01 41060
2007-01-01 45198
2008-01-01 47273
2009-01-01 44925
2010-01-01 43704
2011-01-01 46032
2012-01-01 45908
2013-01-01 46077
2014-01-01 45527
2015-01-01 48662
2016-01-01 51443
2017-01-01 54244
2018-01-01 53773
2019-01-01 60253
2020-01-01 54151
2021-01-01 57774
2022-01-01 63933
2023-01-01 66353

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