Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Warren County, IN
Series ID MHICIUBIN18171A052NCEN
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 28203
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33710
1994-01-01 .
1995-01-01 36398
1996-01-01 .
1997-01-01 39254
1998-01-01 41766
1999-01-01 42895
2000-01-01 46032
2001-01-01 45707
2002-01-01 45259
2003-01-01 46229
2004-01-01 49502
2005-01-01 51236
2006-01-01 48125
2007-01-01 54283
2008-01-01 57410
2009-01-01 55371
2010-01-01 55103
2011-01-01 53038
2012-01-01 58727
2013-01-01 57575
2014-01-01 61368
2015-01-01 63174
2016-01-01 60192
2017-01-01 64098
2018-01-01 67142
2019-01-01 71011
2020-01-01 77371
2021-01-01 69856
2022-01-01 80615

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