Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, OH
Series ID MHICIUBOH39019A052NCEN
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 27465
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31190
1994-01-01 .
1995-01-01 35225
1996-01-01 .
1997-01-01 37185
1998-01-01 39151
1999-01-01 37783
2000-01-01 40038
2001-01-01 38654
2002-01-01 38656
2003-01-01 38641
2004-01-01 39483
2005-01-01 40673
2006-01-01 42274
2007-01-01 46166
2008-01-01 46762
2009-01-01 43340
2010-01-01 42659
2011-01-01 43523
2012-01-01 45483
2013-01-01 48347
2014-01-01 50164
2015-01-01 56135
2016-01-01 52587
2017-01-01 56083
2018-01-01 54327
2019-01-01 61959
2020-01-01 56390
2021-01-01 60855
2022-01-01 68156
2023-01-01 70799

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