Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, OH
Series ID MHICIUBOH39049A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:09 PM 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 32431
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37518
1994-01-01 .
1995-01-01 39430
1996-01-01 .
1997-01-01 41890
1998-01-01 43673
1999-01-01 44238
2000-01-01 47842
2001-01-01 47388
2002-01-01 46772
2003-01-01 47380
2004-01-01 47942
2005-01-01 46355
2006-01-01 46768
2007-01-01 49495
2008-01-01 52147
2009-01-01 48591
2010-01-01 48782
2011-01-01 48568
2012-01-01 51129
2013-01-01 52488
2014-01-01 54315
2015-01-01 55644
2016-01-01 57672
2017-01-01 60717
2018-01-01 61441
2019-01-01 66401
2020-01-01 65126
2021-01-01 67772
2022-01-01 71562

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