Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Martin County, IN
Series ID MHICIUBIN18101A052NCEN
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 1:52 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 26861
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30897
1994-01-01 .
1995-01-01 33722
1996-01-01 .
1997-01-01 36844
1998-01-01 38362
1999-01-01 38173
2000-01-01 40577
2001-01-01 39706
2002-01-01 39855
2003-01-01 40567
2004-01-01 42016
2005-01-01 43980
2006-01-01 45622
2007-01-01 47651
2008-01-01 48889
2009-01-01 46812
2010-01-01 46869
2011-01-01 48928
2012-01-01 48698
2013-01-01 50933
2014-01-01 53434
2015-01-01 52428
2016-01-01 56192
2017-01-01 55473
2018-01-01 60312
2019-01-01 62652
2020-01-01 49545
2021-01-01 67846
2022-01-01 71844

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