Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Vigo County, IN
Series ID MHICIUBIN18167A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 25679
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30073
1994-01-01 .
1995-01-01 33459
1996-01-01 .
1997-01-01 35066
1998-01-01 36171
1999-01-01 34937
2000-01-01 36780
2001-01-01 35686
2002-01-01 36087
2003-01-01 36868
2004-01-01 38048
2005-01-01 38148
2006-01-01 37554
2007-01-01 39473
2008-01-01 42303
2009-01-01 40818
2010-01-01 41854
2011-01-01 41787
2012-01-01 42534
2013-01-01 41954
2014-01-01 43248
2015-01-01 42162
2016-01-01 46370
2017-01-01 45684
2018-01-01 50668
2019-01-01 51849
2020-01-01 51407
2021-01-01 52698
2022-01-01 56413
2023-01-01 54988

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