Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Stark County, OH
Series ID MHICIUBOH39151A052NCEN
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 29670
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32589
1994-01-01 .
1995-01-01 37173
1996-01-01 .
1997-01-01 41099
1998-01-01 42457
1999-01-01 42048
2000-01-01 44837
2001-01-01 43323
2002-01-01 43047
2003-01-01 42788
2004-01-01 43699
2005-01-01 43610
2006-01-01 44047
2007-01-01 46270
2008-01-01 46243
2009-01-01 45763
2010-01-01 44136
2011-01-01 43855
2012-01-01 47232
2013-01-01 46940
2014-01-01 49209
2015-01-01 50920
2016-01-01 52658
2017-01-01 53374
2018-01-01 54215
2019-01-01 57568
2020-01-01 60648
2021-01-01 61210
2022-01-01 67300
2023-01-01 67044

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