Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, IN
Series ID MHICILBIN18047A052NCEN
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 1:54 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 24816
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29926
1994-01-01 .
1995-01-01 33601
1996-01-01 .
1997-01-01 36498
1998-01-01 37824
1999-01-01 40391
2000-01-01 41930
2001-01-01 42507
2002-01-01 43196
2003-01-01 44005
2004-01-01 44547
2005-01-01 43559
2006-01-01 45474
2007-01-01 48078
2008-01-01 47674
2009-01-01 44474
2010-01-01 44623
2011-01-01 47572
2012-01-01 42602
2013-01-01 48834
2014-01-01 49318
2015-01-01 48839
2016-01-01 52029
2017-01-01 56821
2018-01-01 57146
2019-01-01 61338
2020-01-01 63874
2021-01-01 54523
2022-01-01 66121

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