Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morgan County, IN
Series ID MHICILBIN18109A052NCEN
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 29229
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34804
1994-01-01 .
1995-01-01 39079
1996-01-01 .
1997-01-01 41068
1998-01-01 42985
1999-01-01 43927
2000-01-01 45855
2001-01-01 45609
2002-01-01 45799
2003-01-01 46668
2004-01-01 48261
2005-01-01 48027
2006-01-01 49637
2007-01-01 50505
2008-01-01 52032
2009-01-01 51373
2010-01-01 49717
2011-01-01 49603
2012-01-01 49285
2013-01-01 52516
2014-01-01 50763
2015-01-01 54974
2016-01-01 57036
2017-01-01 58822
2018-01-01 61236
2019-01-01 60399
2020-01-01 61476
2021-01-01 63611
2022-01-01 68845

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