Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Martin County, IN
Series ID MHICILBIN18101A052NCEN
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 22370
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26355
1994-01-01 .
1995-01-01 27578
1996-01-01 .
1997-01-01 30668
1998-01-01 32295
1999-01-01 33505
2000-01-01 34944
2001-01-01 34580
2002-01-01 34700
2003-01-01 35743
2004-01-01 36985
2005-01-01 36626
2006-01-01 37952
2007-01-01 39497
2008-01-01 40911
2009-01-01 38838
2010-01-01 40839
2011-01-01 40502
2012-01-01 40496
2013-01-01 42745
2014-01-01 43328
2015-01-01 43006
2016-01-01 45824
2017-01-01 44933
2018-01-01 50576
2019-01-01 50818
2020-01-01 43427
2021-01-01 55194
2022-01-01 56588

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